From 4d93a66b7816eda45ce2f11d9abaa8c93bed2992 Mon Sep 17 00:00:00 2001 From: Rose E Wang Date: Tue, 16 Jan 2024 13:15:32 -0800 Subject: [PATCH] First commit for website --- .readthedocs.yaml | 15 - MANIFEST.in | 5 - data/.DS_Store | Bin 6148 -> 0 bytes data/amber.zip | Bin 547335 -> 0 bytes data/amber/4244.json | 4220 --------- data/amber/4245.json | 2948 ------- data/amber/4246.json | 1604 ---- data/amber/4254.json | 866 -- data/amber/4265.json | 524 -- data/amber/4275.json | 38 - data/amber/4276.json | 32 - data/amber/4279.json | 38 - data/amber/4280.json | 38 - data/amber/4282.json | 218 - data/amber/4285.json | 2138 ----- data/amber/6172022NN.json | 6068 ------------- data/amber/6212022AK.json | 3752 -------- data/amber/6222022IT.json | 4148 --------- data/amber/6232022DPG.json | 2474 ------ data/amber/6242022JZ.json | 2300 ----- data/amber/7112022AC.json | 3770 -------- data/amber/7112022EX.json | 4412 ---------- data/amber/7122022BC.json | 3638 -------- data/amber/7122022ET.json 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right, cool. So first I will explain some of the tools that we're going to use." - }, - { - "start": "00:06.56", - "stop": "00:21.72", - "speaker": "Tutor", - "dialogue": "We'll practice using them and then I'll explain a little bit about what it'll be like when we're working together. Sound good? Sounds great. Okay, so can you see my arrow moving around? Yep. I think I can see yours too. Yep, perfect." - }, - { - "start": "00:21.72", - "stop": "00:28.48", - "speaker": "Tutor", - "dialogue": "There are tools over here on the left-hand side. Okay. Oh, I can press these. You see them?" - }, - { - "start": "00:28.48", - "stop": "01:05.60", - "speaker": "Tutor", - "dialogue": "Mm-hmm. All right, so the pencil, whenever you click on it, right above it, there's a color and a size bar that pops up. Oh, I see. So if you want to change your color or size for anything that we're writing or drawing, you can do it there. And then the T in the center of a box, if you click that, it will allow you to add a text box if you prefer to type. Okay. And then we're gonna practice erasing. So whatever you do, don't hit the trash can button. Okay. If you hit that button, it erases all of your beautiful thinking and there's no way for us to get it back." - }, - { - "start": "01:05.60", - "stop": "01:11.20", - "speaker": "Student", - "dialogue": "Oh, so then like if I want to erase something, do I press the X? So that's" - }, - { - "start": "01:11.20", - "stop": "01:48.92", - "speaker": "Tutor", - "dialogue": "what we're gonna practice. So draw something with the pencil. Okay, I'll draw a little heart. Beautiful. Then you have to select what you want to erase first. And so this top arrow is your select arrow. Make sure that's highlighted. Click on whatever it is you want to erase. Mm-hmm. And then you hit the X, the arrow, yeah, there you go. Gotcha, okay. Cool? Yeah. All right. And then you can close your chat box if it's open. Okay, yeah, let me do that. Okay, we will, that way it makes your screen bigger." - }, - { - "start": "01:48.92", - "stop": "02:23.00", - "speaker": "Tutor", - "dialogue": "Mm-hmm. And we'll be talking back and forth like this. Okay. And I will ask you lots of questions. Okay. But just because I ask you a question doesn't mean you did something wrong or I want to know a specific answer. I just want to know as much as I can about your thinking. Okay. And on that note, you know how sometimes you're thinking quietly inside your head? Yeah. The more you can say those things out loud, even if they're not fully formed thoughts, the better. It really helps me understand how you're thinking about something. Okay, I'll practice that." - }, - { - "start": "02:23.00", - "stop": "03:19.40", - "speaker": "Tutor", - "dialogue": "Even if it's like, um, I'm not sure what she's talking about right now. Say those things. And then if you, if I ask you something and you're like, oh, not sure, I need some time to think about that, just verbalize that you need time so that I don't interrupt your thinking by asking or talking more. Okay, I got you. Cool. Are you ready to get started? Yeah. Okay, I'm gonna change the page. Do you see something different now? Yeah, I see the map. Yeah. So take a minute to read it and look it over and then explain to me what you think is happening in this situation. Okay." - }, - { - "start": "03:19.40", - "stop": "03:33.48", - "speaker": "Student", - "dialogue": "Um, it looks like, um, like the lines are the, what's it called? What's the word?" - }, - { - "start": "03:33.48", - "stop": "03:46.92", - "speaker": "Student", - "dialogue": "It's the, oh my gosh, it's on the tip of my tongue. It's kind of like the path that the driver took to get to Newark. Point to what you're talking about there. What" - }, - { - "start": "03:46.92", - "stop": "04:00.64", - "speaker": "Tutor", - "dialogue": "do you see? Oh, um, these. Okay. So yeah, that's the I-95, the interstate. Mm-hmm. Okay. Cool. What are some things that you think we might be able to" - }, - { - "start": "04:00.64", - "stop": "04:40.96", - "speaker": "Student", - "dialogue": "measure in this situation? Um, things we'll be able to measure. Oh, sorry. Sorry, give me one second. Sorry. Um, no worries. Oh, oopsies. No, okay. Something we'd be able to measure? I mean," - }, - { - "start": "04:40.96", - "stop": "04:48.08", - "speaker": "Tutor", - "dialogue": "like, like accurately? Just anything that might be happening in a situation that we" - }, - { - "start": "04:48.08", - "stop": "05:15.32", - "speaker": "Student", - "dialogue": "could think about measuring. Mm-hmm. I want to say, like, how far Providence is from New York City, but like, that wouldn't be accurate. So what you're saying is, if we" - }, - { - "start": "05:15.32", - "stop": "05:30.92", - "speaker": "Tutor", - "dialogue": "had some more information, we could find how far New York City is from Providence. Yeah. Yeah? Cool. So what would we be measuring there? What is that thing that we would be measuring? The distance. Yeah. So what are some units we could use to measure the" - }, - { - "start": "05:30.92", - "stop": "05:49.08", - "speaker": "Student", - "dialogue": "distance? Um, we could do, like, how many hours it is away, how many miles it takes. Yeah, those are the main ones that come to mind. Okay, cool. Is there anything else you can think" - }, - { - "start": "05:49.08", - "stop": "06:37.52", - "speaker": "Tutor", - "dialogue": "of that we might be able to measure? Not sure. Cool, and it's totally okay and beautiful to say that at any point, too. Okay? Okay. All right, now I'm going to uncover something, and I want you to think about how it was similar or different to what you were thinking about. Okay. Oh, that's what I said. Say more. So you're saying that it's" - }, - { - "start": "06:37.52", - "stop": "06:51.12", - "speaker": "Student", - "dialogue": "similar to what you were thinking? Yeah. Explain more. Um, like, with what I said, like, how many hours it's away and how many miles it takes to get there. Okay." - }, - { - "start": "06:52.00", - "stop": "06:59.92", - "speaker": "Tutor", - "dialogue": "So looking at the map and the graph, explain what is happening during each stage of this journey." - }, - { - "start": "07:01.84", - "stop": "07:52.64", - "speaker": "Student", - "dialogue": "What is happening? Um, on the graph, it says that they were able to drive 50 miles in one hour from point A to point B, and then, um, they were still only able to drive 50 miles in, um, an hour and a half from point B to point C, and then from point C to point D. That's about, that's 100 miles in, like, almost two and a half hours. And then, what do the squiggly lines mean?" - }, - { - "start": "07:52.64", - "stop": "08:00.24", - "speaker": "Tutor", - "dialogue": "Oh, great question. Yeah. Think about that for a minute. What do you think those squiggly lines" - }, - { - "start": "08:00.24", - "stop": "08:22.80", - "speaker": "Student", - "dialogue": "might mean? Um, traffic. Okay. Why do you think it's traffic? Because right here, it's, like, street, and it kind of looks like easy driving and stuff, and then it's here, so it's like, oh, there was an interruption in the drive. Well, I'm gonna, I want to know a little bit more about" - }, - { - "start": "08:22.80", - "stop": "08:28.88", - "speaker": "Tutor", - "dialogue": "that. What makes something an easy drive, and what makes something an interruption in your mind?" - }, - { - "start": "08:29.76", - "stop": "09:00.48", - "speaker": "Student", - "dialogue": "Because it's, like, straight, so it's like, oh, um, like, comparing these two, like, this is straight, so it's like, oh, like, nothing really was stopping the driver, and they were just, like, they just kept going. But here, it looks like the driver was being stopped by something, and there was an interruption in the, in the trip. Okay. So you've been pointing to this blue line." - }, - { - "start": "09:00.48", - "stop": "09:08.48", - "speaker": "Tutor", - "dialogue": "Mm-hmm. Is this blue line representing distance or time or something else?" - }, - { - "start": "09:09.92", - "stop": "09:18.40", - "speaker": "Student", - "dialogue": "Um, I feel like, hmm, let me think about that one. Cool." - }, - { - "start": "09:18.40", - "stop": "09:27.44", - "speaker": "Student", - "dialogue": "Time or distance? I feel like the blue line represents the distance, kind of." - }, - { - "start": "09:27.44", - "stop": "09:46.64", - "speaker": "Student", - "dialogue": "not the distance kinda." - }, - { - "start": "09:57.44", - "stop": "09:59.44", - "speaker": "Tutor", - "dialogue": "What are you thinking?" - }, - { - "start": "09:59.44", - "stop": "10:01.44", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "10:01.44", - "stop": "10:03.44", - "speaker": "Student", - "dialogue": "I'm trying to figure it out." - }, - { - "start": "10:03.44", - "stop": "10:05.44", - "speaker": "Student", - "dialogue": "I'm not very sure." - }, - { - "start": "10:05.44", - "stop": "10:07.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "10:07.44", - "stop": "10:13.44", - "speaker": "Tutor", - "dialogue": "So your brain is saying, all right, there's distance and time here in this situation." - }, - { - "start": "10:13.44", - "stop": "10:19.44", - "speaker": "Tutor", - "dialogue": "The blue line has something to do, you've described, like a, did you say easy drive?" - }, - { - "start": "10:19.44", - "stop": "10:21.44", - "speaker": "Tutor", - "dialogue": "Or an interrupted drive?" - }, - { - "start": "10:21.44", - "stop": "10:23.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "10:23.44", - "stop": "10:27.44", - "speaker": "Tutor", - "dialogue": "Yeah, like the straight lines was like an easy drive." - }, - { - "start": "10:27.44", - "stop": "10:35.44", - "speaker": "Student", - "dialogue": "And then the little squigglies, like, oh, there was an interruption or turbulence in the drive, kind of." - }, - { - "start": "10:35.44", - "stop": "10:37.44", - "speaker": "Student", - "dialogue": "Cool thinking." - }, - { - "start": "10:37.44", - "stop": "10:39.44", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "10:39.44", - "stop": "10:45.44", - "speaker": "Tutor", - "dialogue": "So we're going to dig a little bit deeper into that and try to make sense of what is this thing that the blue line is keeping track of." - }, - { - "start": "10:45.44", - "stop": "10:47.44", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "10:47.44", - "stop": "10:49.44", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "10:49.44", - "stop": "10:51.44", - "speaker": "Tutor", - "dialogue": "So on the map, there's no letters." - }, - { - "start": "10:51.44", - "stop": "10:55.44", - "speaker": "Tutor", - "dialogue": "But there's some letters on the graph." - }, - { - "start": "10:55.44", - "stop": "10:57.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "10:57.44", - "stop": "11:01.44", - "speaker": "Tutor", - "dialogue": "Where do you think those letters on the graph would be located on the map?" - }, - { - "start": "11:01.44", - "stop": "11:07.44", - "speaker": "Tutor", - "dialogue": "And you can use your drawing tool or your text tool, whatever makes sense for you to label." - }, - { - "start": "11:07.44", - "stop": "11:09.44", - "speaker": "Student", - "dialogue": "I could just like point at it and stuff." - }, - { - "start": "11:09.44", - "stop": "11:11.44", - "speaker": "Student", - "dialogue": "I think that's easiest for me." - }, - { - "start": "11:11.44", - "stop": "11:13.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "11:13.44", - "stop": "11:21.44", - "speaker": "Student", - "dialogue": "So I feel like Providence was like right here, because that's a starting point." - }, - { - "start": "11:21.44", - "stop": "11:23.44", - "speaker": "Student", - "dialogue": "And then." - }, - { - "start": "11:23.44", - "stop": "11:27.44", - "speaker": "Tutor", - "dialogue": "So just you're saying then this point would be point A?" - }, - { - "start": "11:27.44", - "stop": "11:29.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "11:29.44", - "stop": "11:31.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "11:31.44", - "stop": "11:35.44", - "speaker": "Student", - "dialogue": "And then 50 miles." - }, - { - "start": "11:35.44", - "stop": "11:37.44", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "11:37.44", - "stop": "11:47.44", - "speaker": "Student", - "dialogue": "Point B." - }, - { - "start": "11:47.44", - "stop": "11:49.44", - "speaker": "Student", - "dialogue": "Because it took four hours." - }, - { - "start": "11:49.44", - "stop": "11:53.44", - "speaker": "Student", - "dialogue": "How many hours did it take to get there?" - }, - { - "start": "11:53.44", - "stop": "11:59.44", - "speaker": "Tutor", - "dialogue": "How could you figure that out?" - }, - { - "start": "11:59.44", - "stop": "12:01.44", - "speaker": "Student", - "dialogue": "I think." - }, - { - "start": "12:01.44", - "stop": "12:05.44", - "speaker": "Student", - "dialogue": "Let me see." - }, - { - "start": "12:05.44", - "stop": "12:11.44", - "speaker": "Student", - "dialogue": "I think it took four hours, and this is where it like." - }, - { - "start": "12:11.44", - "stop": "12:13.44", - "speaker": "Student", - "dialogue": "And point F is like when it's at." - }, - { - "start": "12:13.44", - "stop": "12:17.44", - "speaker": "Student", - "dialogue": "When the person reaches Newark." - }, - { - "start": "12:17.44", - "stop": "12:19.44", - "speaker": "Tutor", - "dialogue": "Point F would be here?" - }, - { - "start": "12:19.44", - "stop": "12:21.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "12:21.44", - "stop": "12:23.44", - "speaker": "Tutor", - "dialogue": "And I saw what you did with your pointer." - }, - { - "start": "12:23.44", - "stop": "12:25.44", - "speaker": "Tutor", - "dialogue": "Were you reading that four hours is right here?" - }, - { - "start": "12:25.44", - "stop": "12:27.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "12:27.44", - "stop": "12:29.44", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "12:29.44", - "stop": "12:31.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "12:31.44", - "stop": "12:36.44", - "speaker": "Student", - "dialogue": "And then point E." - }, - { - "start": "12:36.44", - "stop": "12:41.44", - "speaker": "Student", - "dialogue": "Point E is right here, because it's straight." - }, - { - "start": "12:41.44", - "stop": "12:45.44", - "speaker": "Student", - "dialogue": "And over here is like squiggly and stuff." - }, - { - "start": "12:45.44", - "stop": "12:48.44", - "speaker": "Student", - "dialogue": "It kind of looks like this if it was enlarged." - }, - { - "start": "12:48.44", - "stop": "12:49.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "12:49.44", - "stop": "12:51.44", - "speaker": "Tutor", - "dialogue": "So you're thinking the point E is here?" - }, - { - "start": "12:51.44", - "stop": "12:53.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "12:53.44", - "stop": "12:57.44", - "speaker": "Tutor", - "dialogue": "Is that because this little tail of the road looks like this little tail right here?" - }, - { - "start": "12:57.44", - "stop": "12:59.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "12:59.44", - "stop": "13:03.44", - "speaker": "Tutor", - "dialogue": "So you're saying that this squiggly part is kind of like this squiggly line where?" - }, - { - "start": "13:03.44", - "stop": "13:06.44", - "speaker": "Student", - "dialogue": "Yeah, like right over here-ish." - }, - { - "start": "13:06.44", - "stop": "13:07.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "13:07.44", - "stop": "13:17.44", - "speaker": "Tutor", - "dialogue": "So I'm going to have you think for a minute and make some predictions, and then point to where you want to label points B, C, and D." - }, - { - "start": "13:17.44", - "stop": "13:31.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "13:31.44", - "stop": "14:00.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "14:00.44", - "stop": "14:08.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "14:08.44", - "stop": "14:11.44", - "speaker": "Tutor", - "dialogue": "What are you trying to sort through in your head?" - }, - { - "start": "14:11.44", - "stop": "14:18.44", - "speaker": "Student", - "dialogue": "I'm trying to sort through where the straight points would be, because I don't think they would be, like, all the way up here." - }, - { - "start": "14:18.44", - "stop": "14:26.44", - "speaker": "Student", - "dialogue": "So I'm like maybe the whole theory with, like, all of this being this part was wrong." - }, - { - "start": "14:26.44", - "stop": "14:29.44", - "speaker": "Student", - "dialogue": "I'm trying to figure out what would be right." - }, - { - "start": "14:29.44", - "stop": "14:37.44", - "speaker": "Tutor", - "dialogue": "So you're trying to find, because A to B is straight on the graph, you're trying to find a straight part on the map?" - }, - { - "start": "14:37.44", - "stop": "14:38.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "14:38.44", - "stop": "14:39.44", - "speaker": "Tutor", - "dialogue": "To connect that?" - }, - { - "start": "14:39.44", - "stop": "14:40.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "14:40.44", - "stop": "14:41.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "14:41.44", - "stop": "14:42.44", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "14:42.44", - "stop": "14:44.44", - "speaker": "Tutor", - "dialogue": "That really helps me understand how you're making sense of this." - }, - { - "start": "14:44.44", - "stop": "14:46.44", - "speaker": "Tutor", - "dialogue": "I'm going to type some words up here." - }, - { - "start": "14:46.44", - "stop": "14:48.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "14:48.44", - "stop": "14:51.44", - "speaker": "Tutor", - "dialogue": "And I'm going to type them in purple." - }, - { - "start": "14:51.44", - "stop": "14:53.44", - "speaker": "Tutor", - "dialogue": "We're going to call these our purple power words." - }, - { - "start": "14:53.44", - "stop": "15:00.44", - "speaker": "Tutor", - "dialogue": "So as I ask you questions, I want you to challenge yourself to use these purple power words as much as possible." - }, - { - "start": "15:00.44", - "stop": "15:01.44", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "15:01.44", - "stop": "15:06.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "15:06.44", - "stop": "15:07.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "15:07.44", - "stop": "15:15.44", - "speaker": "Tutor", - "dialogue": "So first we're going to look at just distance." - }, - { - "start": "15:15.44", - "stop": "15:20.44", - "speaker": "Tutor", - "dialogue": "And from A to B, describe to me what is happening with distance." - }, - { - "start": "15:20.44", - "stop": "15:22.44", - "speaker": "Student", - "dialogue": "It's staying the same." - }, - { - "start": "15:22.44", - "stop": "15:24.44", - "speaker": "Tutor", - "dialogue": "And say it in a complete sentence." - }, - { - "start": "15:24.44", - "stop": "15:25.44", - "speaker": "Student", - "dialogue": "Oh, my gosh." - }, - { - "start": "15:25.44", - "stop": "15:26.44", - "speaker": "Student", - "dialogue": "Not staying the same." - }, - { - "start": "15:26.44", - "stop": "15:36.44", - "speaker": "Student", - "dialogue": "I mean, the distance is increasing from zero to 50." - }, - { - "start": "15:36.44", - "stop": "15:37.44", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "15:37.44", - "stop": "15:38.44", - "speaker": "Tutor", - "dialogue": "I'm going to write that up here." - }, - { - "start": "15:38.44", - "stop": "15:45.44", - "speaker": "Tutor", - "dialogue": "So from A to B." - }, - { - "start": "15:45.44", - "stop": "15:48.44", - "speaker": "Student", - "dialogue": "What did you say again?" - }, - { - "start": "15:48.44", - "stop": "15:58.44", - "speaker": "Tutor", - "dialogue": "There's an increase in distance." - }, - { - "start": "15:58.44", - "stop": "15:59.44", - "speaker": "Tutor", - "dialogue": "In distance." - }, - { - "start": "15:59.44", - "stop": "16:04.44", - "speaker": "Tutor", - "dialogue": "Anything else you want to say about it?" - }, - { - "start": "16:04.44", - "stop": "16:06.44", - "speaker": "Tutor", - "dialogue": "Are you happy with this?" - }, - { - "start": "16:06.44", - "stop": "16:07.44", - "speaker": "Tutor", - "dialogue": "I'm happy with that." - }, - { - "start": "16:07.44", - "stop": "16:08.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "16:08.44", - "stop": "16:11.44", - "speaker": "Tutor", - "dialogue": "So from A to B, there is an increase in distance." - }, - { - "start": "16:11.44", - "stop": "16:16.44", - "speaker": "Tutor", - "dialogue": "Now, what's going on with this thing?" - }, - { - "start": "16:16.44", - "stop": "16:19.44", - "speaker": "Tutor", - "dialogue": "What's going on with this thing?" - }, - { - "start": "16:19.44", - "stop": "16:22.44", - "speaker": "Student", - "dialogue": "What's happening from A to B?" - }, - { - "start": "16:22.44", - "stop": "16:28.44", - "speaker": "Student", - "dialogue": "Sorry." - }, - { - "start": "16:28.44", - "stop": "16:30.44", - "speaker": "Student", - "dialogue": "The time." - }, - { - "start": "16:30.44", - "stop": "16:43.44", - "speaker": "Student", - "dialogue": "There's an increase in." - }, - { - "start": "16:43.44", - "stop": "16:46.44", - "speaker": "Tutor", - "dialogue": "So from A to B, there's an increase in distance." - }, - { - "start": "16:46.44", - "stop": "16:49.44", - "speaker": "Tutor", - "dialogue": "And an increase in time." - }, - { - "start": "16:49.44", - "stop": "16:50.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "16:50.44", - "stop": "16:55.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "16:55.44", - "stop": "17:01.44", - "speaker": "Tutor", - "dialogue": "So if I'm on this map." - }, - { - "start": "17:01.44", - "stop": "17:05.44", - "speaker": "Tutor", - "dialogue": "And you said that we're taking the journey and we're starting in Providence and we're driving down this path or interstate." - }, - { - "start": "17:05.44", - "stop": "17:06.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "17:06.44", - "stop": "17:07.44", - "speaker": "Tutor", - "dialogue": "And we end up in Newark." - }, - { - "start": "17:07.44", - "stop": "17:09.44", - "speaker": "Tutor", - "dialogue": "From A to B." - }, - { - "start": "17:09.44", - "stop": "17:11.44", - "speaker": "Tutor", - "dialogue": "If I'm going to." - }, - { - "start": "17:11.44", - "stop": "17:13.44", - "speaker": "Tutor", - "dialogue": "I'm going to go to A." - }, - { - "start": "17:13.44", - "stop": "17:14.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "17:14.44", - "stop": "17:19.44", - "speaker": "Tutor", - "dialogue": "So point B has to be at a place where there isn't." - }, - { - "start": "17:19.44", - "stop": "17:27.44", - "speaker": "Tutor", - "dialogue": "To show an increase in distance and an increase in time." - }, - { - "start": "17:27.44", - "stop": "17:33.44", - "speaker": "Tutor", - "dialogue": "So what it makes sense for B to be located over here." - }, - { - "start": "17:33.44", - "stop": "17:34.44", - "speaker": "Tutor", - "dialogue": "No, no." - }, - { - "start": "17:34.44", - "stop": "17:36.44", - "speaker": "Tutor", - "dialogue": "That's got to show an increase in the journey." - }, - { - "start": "17:36.44", - "stop": "17:42.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "17:42.44", - "stop": "17:46.44", - "speaker": "Student", - "dialogue": "So take your best guess of where you think point B could be located on the map." - }, - { - "start": "17:46.44", - "stop": "17:47.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "17:47.44", - "stop": "17:48.44", - "speaker": "Student", - "dialogue": "I think point B." - }, - { - "start": "17:48.44", - "stop": "17:50.44", - "speaker": "Tutor", - "dialogue": "Would be." - }, - { - "start": "17:50.44", - "stop": "17:51.44", - "speaker": "Student", - "dialogue": "Around the right here." - }, - { - "start": "17:51.44", - "stop": "17:52.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "17:52.44", - "stop": "17:53.44", - "speaker": "Student", - "dialogue": "Why do you want it to go there?" - }, - { - "start": "17:53.44", - "stop": "17:55.44", - "speaker": "Student", - "dialogue": "Because that shows." - }, - { - "start": "17:55.44", - "stop": "17:58.44", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "17:58.44", - "stop": "18:01.44", - "speaker": "Student", - "dialogue": "The driver is moving forward." - }, - { - "start": "18:01.44", - "stop": "18:05.44", - "speaker": "Tutor", - "dialogue": "And that looks like a good enough distance." - }, - { - "start": "18:05.44", - "stop": "18:06.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "18:06.44", - "stop": "18:07.44", - "speaker": "Tutor", - "dialogue": "And you're looking at the straight thing here." - }, - { - "start": "18:07.44", - "stop": "18:08.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "18:08.44", - "stop": "18:09.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "18:09.44", - "stop": "18:10.44", - "speaker": "Tutor", - "dialogue": "So let's also explore this." - }, - { - "start": "18:10.44", - "stop": "18:11.44", - "speaker": "Tutor", - "dialogue": "Deeper." - }, - { - "start": "18:11.44", - "stop": "18:12.44", - "speaker": "Tutor", - "dialogue": "Because you've said now." - }, - { - "start": "18:12.44", - "stop": "18:14.44", - "speaker": "Tutor", - "dialogue": "From A to B." - }, - { - "start": "18:14.44", - "stop": "18:16.44", - "speaker": "Tutor", - "dialogue": "There is an increase in distance." - }, - { - "start": "18:16.44", - "stop": "18:19.44", - "speaker": "Tutor", - "dialogue": "The distance increases by 50 miles." - }, - { - "start": "18:19.44", - "stop": "18:22.44", - "speaker": "Tutor", - "dialogue": "And the time increases by one hour." - }, - { - "start": "18:22.44", - "stop": "18:24.44", - "speaker": "Tutor", - "dialogue": "And something." - }, - { - "start": "18:24.44", - "stop": "18:28.44", - "speaker": "Tutor", - "dialogue": "Is going on here with this line that you noticed earlier." - }, - { - "start": "18:28.44", - "stop": "18:30.44", - "speaker": "Tutor", - "dialogue": "It's this smooth line." - }, - { - "start": "18:30.44", - "stop": "18:31.44", - "speaker": "Tutor", - "dialogue": "So it's an easy drive." - }, - { - "start": "18:31.44", - "stop": "18:32.44", - "speaker": "Tutor", - "dialogue": "I think is the word you used." - }, - { - "start": "18:32.44", - "stop": "18:34.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "18:34.44", - "stop": "18:35.44", - "speaker": "Tutor", - "dialogue": "So." - }, - { - "start": "18:35.44", - "stop": "18:36.44", - "speaker": "Tutor", - "dialogue": "What's easy about it?" - }, - { - "start": "18:36.44", - "stop": "18:39.44", - "speaker": "Tutor", - "dialogue": "What's happening from A to B." - }, - { - "start": "18:39.44", - "stop": "18:42.44", - "speaker": "Student", - "dialogue": "It's just." - }, - { - "start": "18:42.44", - "stop": "18:44.44", - "speaker": "Student", - "dialogue": "It's." - }, - { - "start": "18:44.44", - "stop": "18:55.44", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "18:55.44", - "stop": "18:57.44", - "speaker": "Student", - "dialogue": "It's just like." - }, - { - "start": "18:57.44", - "stop": "19:03.44", - "speaker": "Student", - "dialogue": "An equal." - }, - { - "start": "19:03.44", - "stop": "19:04.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "19:04.44", - "stop": "19:06.44", - "speaker": "Tutor", - "dialogue": "I don't know how to explain it." - }, - { - "start": "19:06.44", - "stop": "19:07.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "19:07.44", - "stop": "19:08.44", - "speaker": "Tutor", - "dialogue": "That's okay." - }, - { - "start": "19:08.44", - "stop": "19:09.44", - "speaker": "Tutor", - "dialogue": "I want your brain to sit with that a little bit." - }, - { - "start": "19:09.44", - "stop": "19:10.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "19:10.44", - "stop": "19:11.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "19:11.44", - "stop": "19:12.44", - "speaker": "Tutor", - "dialogue": "We're going to dig some more here." - }, - { - "start": "19:12.44", - "stop": "19:13.44", - "speaker": "Tutor", - "dialogue": "Where." - }, - { - "start": "19:13.44", - "stop": "19:15.44", - "speaker": "Tutor", - "dialogue": "What is going on from B to C." - }, - { - "start": "19:15.44", - "stop": "19:16.44", - "speaker": "Tutor", - "dialogue": "And again." - }, - { - "start": "19:16.44", - "stop": "19:19.44", - "speaker": "Tutor", - "dialogue": "Use these purple power words." - }, - { - "start": "19:19.44", - "stop": "19:22.44", - "speaker": "Student", - "dialogue": "The distance has stayed the same." - }, - { - "start": "19:22.44", - "stop": "19:26.44", - "speaker": "Student", - "dialogue": "But there is an increase in D." - }, - { - "start": "19:26.44", - "stop": "19:27.44", - "speaker": "Student", - "dialogue": "And time." - }, - { - "start": "19:27.44", - "stop": "19:30.44", - "speaker": "Tutor", - "dialogue": "So what's going on with the car?" - }, - { - "start": "19:30.44", - "stop": "19:33.44", - "speaker": "Tutor", - "dialogue": "If the distance is staying the same." - }, - { - "start": "19:33.44", - "stop": "19:43.44", - "speaker": "Student", - "dialogue": "But there's an increase." - }, - { - "start": "19:43.44", - "stop": "19:47.44", - "speaker": "Student", - "dialogue": "Maybe the car is stopped." - }, - { - "start": "19:47.44", - "stop": "19:49.44", - "speaker": "Tutor", - "dialogue": "Your voice is like." - }, - { - "start": "19:49.44", - "stop": "19:50.44", - "speaker": "Tutor", - "dialogue": "Maybe it's stopped." - }, - { - "start": "19:50.44", - "stop": "19:51.44", - "speaker": "Tutor", - "dialogue": "Are you convinced?" - }, - { - "start": "19:51.44", - "stop": "19:56.44", - "speaker": "Student", - "dialogue": "It's stopped." - }, - { - "start": "19:56.44", - "stop": "19:57.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "19:57.44", - "stop": "20:00.44", - "speaker": "Student", - "dialogue": "I think it's stopped." - }, - { - "start": "20:00.44", - "stop": "20:03.44", - "speaker": "Student", - "dialogue": "I think it's stopped because." - }, - { - "start": "20:03.44", - "stop": "20:06.44", - "speaker": "Student", - "dialogue": "There's been no." - }, - { - "start": "20:06.44", - "stop": "20:08.44", - "speaker": "Student", - "dialogue": "Increase in the amount of distance." - }, - { - "start": "20:08.44", - "stop": "20:12.44", - "speaker": "Student", - "dialogue": "So it's like staying still." - }, - { - "start": "20:12.44", - "stop": "20:13.44", - "speaker": "Student", - "dialogue": "What is." - }, - { - "start": "20:13.44", - "stop": "20:15.44", - "speaker": "Student", - "dialogue": "What are they doing?" - }, - { - "start": "20:15.44", - "stop": "20:18.44", - "speaker": "Tutor", - "dialogue": "Time." - }, - { - "start": "20:18.44", - "stop": "20:29.44", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "20:29.44", - "stop": "20:31.44", - "speaker": "Tutor", - "dialogue": "Maybe they ran out of gas." - }, - { - "start": "20:31.44", - "stop": "20:35.44", - "speaker": "Tutor", - "dialogue": "Could be." - }, - { - "start": "20:35.44", - "stop": "20:39.44", - "speaker": "Tutor", - "dialogue": "Maybe they are also like, maybe there was a car accident." - }, - { - "start": "20:39.44", - "stop": "20:40.44", - "speaker": "Tutor", - "dialogue": "Has completely stopped." - }, - { - "start": "20:40.44", - "stop": "20:42.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "20:42.44", - "stop": "20:44.44", - "speaker": "Tutor", - "dialogue": "But something's gone on." - }, - { - "start": "20:44.44", - "stop": "20:45.44", - "speaker": "Tutor", - "dialogue": "That says the." - }, - { - "start": "20:45.44", - "stop": "20:46.44", - "speaker": "Tutor", - "dialogue": "Distance hasn't changed." - }, - { - "start": "20:46.44", - "stop": "20:48.44", - "speaker": "Tutor", - "dialogue": "And time has increased." - }, - { - "start": "20:48.44", - "stop": "20:51.44", - "speaker": "Tutor", - "dialogue": "So how long was the car stopped for?" - }, - { - "start": "20:51.44", - "stop": "20:53.44", - "speaker": "Tutor", - "dialogue": "Half an hour." - }, - { - "start": "20:53.44", - "stop": "20:54.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "20:54.44", - "stop": "20:57.44", - "speaker": "Student", - "dialogue": "Where would you like to put point C on the map?" - }, - { - "start": "20:57.44", - "stop": "21:00.44", - "speaker": "Student", - "dialogue": "Stay at the same." - }, - { - "start": "21:00.44", - "stop": "21:02.44", - "speaker": "Student", - "dialogue": "Point as B." - }, - { - "start": "21:02.44", - "stop": "21:04.44", - "speaker": "Student", - "dialogue": "Because the car hasn't moved." - }, - { - "start": "21:04.44", - "stop": "21:05.44", - "speaker": "Student", - "dialogue": "So it's still be." - }, - { - "start": "21:05.44", - "stop": "21:07.44", - "speaker": "Tutor", - "dialogue": "Technically at that point." - }, - { - "start": "21:07.44", - "stop": "21:08.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "21:08.44", - "stop": "21:10.44", - "speaker": "Tutor", - "dialogue": "So those are at the same point on the map." - }, - { - "start": "21:10.44", - "stop": "21:11.44", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "21:11.44", - "stop": "21:14.44", - "speaker": "Student", - "dialogue": "What goes on from C to D?" - }, - { - "start": "21:14.44", - "stop": "21:16.44", - "speaker": "Student", - "dialogue": "So." - }, - { - "start": "21:16.44", - "stop": "21:21.44", - "speaker": "Student", - "dialogue": "The car has moved." - }, - { - "start": "21:21.44", - "stop": "21:24.44", - "speaker": "Student", - "dialogue": "And it's now at a hundred miles away." - }, - { - "start": "21:24.44", - "stop": "21:29.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "21:29.44", - "stop": "21:33.44", - "speaker": "Student", - "dialogue": "It is now." - }, - { - "start": "21:33.44", - "stop": "21:36.44", - "speaker": "Student", - "dialogue": "It has been approximately two and a half hours." - }, - { - "start": "21:36.44", - "stop": "21:37.44", - "speaker": "Tutor", - "dialogue": "Since." - }, - { - "start": "21:37.44", - "stop": "21:39.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "21:39.44", - "stop": "21:43.44", - "speaker": "Tutor", - "dialogue": "So from a to B." - }, - { - "start": "21:43.44", - "stop": "21:45.44", - "speaker": "Student", - "dialogue": "To B." - }, - { - "start": "21:45.44", - "stop": "21:47.44", - "speaker": "Student", - "dialogue": "50 miles." - }, - { - "start": "21:47.44", - "stop": "21:49.44", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "21:49.44", - "stop": "21:54.44", - "speaker": "Tutor", - "dialogue": "I want you to label that somehow." - }, - { - "start": "21:54.44", - "stop": "21:58.44", - "speaker": "Tutor", - "dialogue": "You can either do it in the text box up here, or you can label it over here on the map." - }, - { - "start": "21:58.44", - "stop": "22:00.44", - "speaker": "Tutor", - "dialogue": "We're going to keep track of that distance." - }, - { - "start": "22:00.44", - "stop": "22:01.44", - "speaker": "Student", - "dialogue": "From a to B." - }, - { - "start": "22:01.44", - "stop": "22:04.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "22:04.44", - "stop": "22:07.44", - "speaker": "Student", - "dialogue": "Do you want me to like." - }, - { - "start": "22:07.44", - "stop": "22:08.44", - "speaker": "Tutor", - "dialogue": "Like a little mark." - }, - { - "start": "22:08.44", - "stop": "22:11.44", - "speaker": "Tutor", - "dialogue": "Mark me." - }, - { - "start": "22:11.44", - "stop": "22:13.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "22:13.44", - "stop": "22:16.44", - "speaker": "Tutor", - "dialogue": "So if we're going to pretend like my arrow is 50 miles from Providence." - }, - { - "start": "22:16.44", - "stop": "22:17.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "22:17.44", - "stop": "22:20.44", - "speaker": "Tutor", - "dialogue": "Where." - }, - { - "start": "22:20.44", - "stop": "22:23.44", - "speaker": "Tutor", - "dialogue": "So on the map somewhere, where would that 50 miles be?" - }, - { - "start": "22:23.44", - "stop": "22:29.44", - "speaker": "Student", - "dialogue": "Where do you see that 50 miles?" - }, - { - "start": "22:29.44", - "stop": "22:32.44", - "speaker": "Tutor", - "dialogue": "What do you mean?" - }, - { - "start": "22:32.44", - "stop": "22:35.44", - "speaker": "Tutor", - "dialogue": "I, what do you see the 50 miles?" - }, - { - "start": "22:35.44", - "stop": "22:38.44", - "speaker": "Tutor", - "dialogue": "So if we're going to pretend like my arrows, the car." - }, - { - "start": "22:38.44", - "stop": "22:41.44", - "speaker": "Tutor", - "dialogue": "Are pointing to me, right?" - }, - { - "start": "22:41.44", - "stop": "22:42.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "22:42.44", - "stop": "22:44.44", - "speaker": "Tutor", - "dialogue": "Tell me when to stop traveling." - }, - { - "start": "22:44.44", - "stop": "22:47.44", - "speaker": "Tutor", - "dialogue": "When you think that I've traveled a total of 50 miles." - }, - { - "start": "22:47.44", - "stop": "22:50.44", - "speaker": "Tutor", - "dialogue": "And I recognize there's no numbers on this map." - }, - { - "start": "22:50.44", - "stop": "22:53.44", - "speaker": "Tutor", - "dialogue": "This is your estimate of where you think 50 miles would be." - }, - { - "start": "22:53.44", - "stop": "22:54.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "22:54.44", - "stop": "22:56.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "22:56.44", - "stop": "23:00.44", - "speaker": "Student", - "dialogue": "Right there." - }, - { - "start": "23:00.44", - "stop": "23:02.44", - "speaker": "Tutor", - "dialogue": "A little front, like right over here." - }, - { - "start": "23:02.44", - "stop": "23:03.44", - "speaker": "Tutor", - "dialogue": "So right where you put point B." - }, - { - "start": "23:03.44", - "stop": "23:04.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "23:04.44", - "stop": "23:05.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "23:05.44", - "stop": "23:08.44", - "speaker": "Tutor", - "dialogue": "So the line right here." - }, - { - "start": "23:08.44", - "stop": "23:09.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "23:09.44", - "stop": "23:10.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "23:10.44", - "stop": "23:15.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "23:15.44", - "stop": "23:18.44", - "speaker": "Tutor", - "dialogue": "So use your pencil tool then to label 50 miles up here somehow." - }, - { - "start": "23:18.44", - "stop": "23:19.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "23:19.44", - "stop": "23:20.44", - "speaker": "Tutor", - "dialogue": "Yep." - }, - { - "start": "23:20.44", - "stop": "23:24.44", - "speaker": "Tutor", - "dialogue": "There you go." - }, - { - "start": "23:24.44", - "stop": "23:33.44", - "speaker": "Tutor", - "dialogue": "You got to click inside of it to start typing." - }, - { - "start": "23:33.44", - "stop": "23:35.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "23:35.44", - "stop": "23:38.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "23:38.44", - "stop": "23:40.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "23:40.44", - "stop": "23:44.44", - "speaker": "Tutor", - "dialogue": "And how far," - }, - { - "start": "23:44.44", - "stop": "23:48.44", - "speaker": "Student", - "dialogue": "how much distance will the car have traveled when it's traveled the whole trip?" - }, - { - "start": "23:48.44", - "stop": "23:51.44", - "speaker": "Student", - "dialogue": "150 miles." - }, - { - "start": "23:51.44", - "stop": "23:52.44", - "speaker": "Tutor", - "dialogue": "A little more than 150." - }, - { - "start": "23:52.44", - "stop": "23:54.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "23:54.44", - "stop": "23:56.44", - "speaker": "Student", - "dialogue": "So you're saying about from here to here is 50 miles." - }, - { - "start": "23:56.44", - "stop": "23:59.44", - "speaker": "Student", - "dialogue": "Oh," - }, - { - "start": "23:59.44", - "stop": "24:02.44", - "speaker": "Tutor", - "dialogue": "Oh, wait, no, that can't be, it can't be right." - }, - { - "start": "24:02.44", - "stop": "24:04.44", - "speaker": "Student", - "dialogue": "Okay. Okay." - }, - { - "start": "24:04.44", - "stop": "24:05.44", - "speaker": "Student", - "dialogue": "So." - }, - { - "start": "24:05.44", - "stop": "24:08.44", - "speaker": "Student", - "dialogue": "That's like, Like it's." - }, - { - "start": "24:08.44", - "stop": "24:12.44", - "speaker": "Student", - "dialogue": "So." - }, - { - "start": "24:12.44", - "stop": "24:15.44", - "speaker": "Student", - "dialogue": "This could be split into like three sections." - }, - { - "start": "24:15.44", - "stop": "24:18.44", - "speaker": "Student", - "dialogue": "50." - }, - { - "start": "24:18.44", - "stop": "24:20.44", - "speaker": "Student", - "dialogue": "And like, this is too little." - }, - { - "start": "24:20.44", - "stop": "24:24.44", - "speaker": "Student", - "dialogue": "Like this wouldn't be 50 miles." - }, - { - "start": "24:24.44", - "stop": "24:27.44", - "speaker": "Student", - "dialogue": "50 miles and more. So be over like here." - }, - { - "start": "24:27.44", - "stop": "24:29.44", - "speaker": "Tutor", - "dialogue": "And then it would be like over here. So." - }, - { - "start": "24:29.44", - "stop": "24:32.44", - "speaker": "Tutor", - "dialogue": "So you're saying that you want to change your mind." - }, - { - "start": "24:32.44", - "stop": "24:36.44", - "speaker": "Tutor", - "dialogue": "So you're going to click on the, the search bar or your text box." - }, - { - "start": "24:36.44", - "stop": "24:38.44", - "speaker": "Tutor", - "dialogue": "And it sounds like you want to change your mind from where you" - }, - { - "start": "24:38.44", - "stop": "24:40.44", - "speaker": "Tutor", - "dialogue": "originally put BNC. Yeah." - }, - { - "start": "24:40.44", - "stop": "24:41.44", - "speaker": "Tutor", - "dialogue": "Revise your thinking." - }, - { - "start": "24:41.44", - "stop": "24:42.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "24:42.44", - "stop": "24:46.44", - "speaker": "Tutor", - "dialogue": "Do we get to revise our thinking in math?" - }, - { - "start": "24:46.44", - "stop": "24:50.44", - "speaker": "Tutor", - "dialogue": "Huh? Do you get to revise your thinking in math?" - }, - { - "start": "24:50.44", - "stop": "24:54.44", - "speaker": "Tutor", - "dialogue": "Do you get to change your mind in math?" - }, - { - "start": "24:54.44", - "stop": "24:56.44", - "speaker": "Tutor", - "dialogue": "Sometimes. Yeah, absolutely." - }, - { - "start": "24:56.44", - "stop": "24:58.44", - "speaker": "Tutor", - "dialogue": "You do. Yeah." - }, - { - "start": "24:58.44", - "stop": "25:01.44", - "speaker": "Tutor", - "dialogue": "So I'm going to click on the search bar." - }, - { - "start": "25:01.44", - "stop": "25:07.44", - "speaker": "Tutor", - "dialogue": "And I'm going to click on my rough draft thinking." - }, - { - "start": "25:07.44", - "stop": "25:09.44", - "speaker": "Tutor", - "dialogue": "And now I want to revise that and edit my work." - }, - { - "start": "25:09.44", - "stop": "25:12.44", - "speaker": "Tutor", - "dialogue": "And I want B or C to be somewhere else." - }, - { - "start": "25:12.44", - "stop": "25:16.44", - "speaker": "Tutor", - "dialogue": "So I'm going to erase the ones that I label." - }, - { - "start": "25:16.44", - "stop": "25:19.44", - "speaker": "Tutor", - "dialogue": "And you put some new dots on the map." - }, - { - "start": "25:19.44", - "stop": "25:21.44", - "speaker": "Student", - "dialogue": "Label what those dots are in your mind." - }, - { - "start": "25:21.44", - "stop": "25:28.44", - "speaker": "Student", - "dialogue": "So I'm going to label my whiteboard." - }, - { - "start": "25:28.44", - "stop": "25:32.44", - "speaker": "Tutor", - "dialogue": "I think I pressed something on my mouse and I accidentally exited out." - }, - { - "start": "25:32.44", - "stop": "25:33.44", - "speaker": "Student", - "dialogue": "You just clicked off the window. I think." - }, - { - "start": "25:33.44", - "stop": "25:34.44", - "speaker": "Student", - "dialogue": "Cause I can still see you." - }, - { - "start": "25:34.44", - "stop": "25:36.44", - "speaker": "Student", - "dialogue": "You can. Okay. Good." - }, - { - "start": "25:36.44", - "stop": "25:37.44", - "speaker": "Tutor", - "dialogue": "Cause it had like made me exit out." - }, - { - "start": "25:37.44", - "stop": "25:39.44", - "speaker": "Tutor", - "dialogue": "Sorry about that." - }, - { - "start": "25:39.44", - "stop": "25:40.44", - "speaker": "Tutor", - "dialogue": "That's okay. Can you still see the whiteboard?" - }, - { - "start": "25:40.44", - "stop": "25:42.44", - "speaker": "Tutor", - "dialogue": "Yep." - }, - { - "start": "25:42.44", - "stop": "25:44.44", - "speaker": "Student", - "dialogue": "I can still see you too. So we're good." - }, - { - "start": "25:44.44", - "stop": "25:45.44", - "speaker": "Student", - "dialogue": "So now label those dots." - }, - { - "start": "25:45.44", - "stop": "25:49.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "25:49.44", - "stop": "25:52.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "25:52.44", - "stop": "25:55.44", - "speaker": "Student", - "dialogue": "Oh, that's a little bit too big." - }, - { - "start": "25:55.44", - "stop": "25:57.44", - "speaker": "Student", - "dialogue": "Perfect." - }, - { - "start": "25:57.44", - "stop": "25:59.44", - "speaker": "Student", - "dialogue": "Yeah. So that's 15." - }, - { - "start": "25:59.44", - "stop": "26:01.44", - "speaker": "Student", - "dialogue": "That's a hundred." - }, - { - "start": "26:01.44", - "stop": "26:04.44", - "speaker": "Student", - "dialogue": "And that's like one 50." - }, - { - "start": "26:04.44", - "stop": "26:11.44", - "speaker": "Student", - "dialogue": "So I'll delete." - }, - { - "start": "26:11.44", - "stop": "26:18.44", - "speaker": "Student", - "dialogue": "Oh, I know that's still a, oh my gosh." - }, - { - "start": "26:18.44", - "stop": "26:20.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "26:20.44", - "stop": "26:23.44", - "speaker": "Student", - "dialogue": "So that's a." - }, - { - "start": "26:23.44", - "stop": "26:29.44", - "speaker": "Student", - "dialogue": "Then this would be." - }, - { - "start": "26:29.44", - "stop": "26:31.44", - "speaker": "Student", - "dialogue": "And." - }, - { - "start": "26:31.44", - "stop": "26:33.44", - "speaker": "Student", - "dialogue": "See." - }, - { - "start": "26:33.44", - "stop": "26:36.44", - "speaker": "Student", - "dialogue": "And." - }, - { - "start": "26:36.44", - "stop": "26:42.44", - "speaker": "Tutor", - "dialogue": "This would be D." - }, - { - "start": "26:42.44", - "stop": "26:51.44", - "speaker": "Tutor", - "dialogue": "And this would be A." - }, - { - "start": "26:51.44", - "stop": "26:56.44", - "speaker": "Tutor", - "dialogue": "So earlier you wanted this to be a, to B, because you said that this part of the map looks like this part of the graph. It's more straight." - }, - { - "start": "26:56.44", - "stop": "26:57.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "26:57.44", - "stop": "26:59.44", - "speaker": "Tutor", - "dialogue": "So now." - }, - { - "start": "26:59.44", - "stop": "27:01.44", - "speaker": "Tutor", - "dialogue": "Let's explore what's going on here." - }, - { - "start": "27:01.44", - "stop": "27:03.44", - "speaker": "Tutor", - "dialogue": "This is a curvy line on the map." - }, - { - "start": "27:03.44", - "stop": "27:04.44", - "speaker": "Tutor", - "dialogue": "On the road." - }, - { - "start": "27:04.44", - "stop": "27:09.44", - "speaker": "Tutor", - "dialogue": "But it's a straight line on the graph." - }, - { - "start": "27:09.44", - "stop": "27:12.44", - "speaker": "Tutor", - "dialogue": "So what is the map keeping track of and what is the graph keeping track" - }, - { - "start": "27:12.44", - "stop": "27:21.44", - "speaker": "Student", - "dialogue": "of? The map is keeping track of the road." - }, - { - "start": "27:21.44", - "stop": "27:23.44", - "speaker": "Student", - "dialogue": "Maybe." - }, - { - "start": "27:23.44", - "stop": "27:25.44", - "speaker": "Student", - "dialogue": "Like how." - }, - { - "start": "27:25.44", - "stop": "27:30.44", - "speaker": "Student", - "dialogue": "Hello." - }, - { - "start": "27:30.44", - "stop": "27:32.44", - "speaker": "Student", - "dialogue": "And like all the turns and stuff that they have to make." - }, - { - "start": "27:32.44", - "stop": "27:35.44", - "speaker": "Student", - "dialogue": "And." - }, - { - "start": "27:35.44", - "stop": "27:42.44", - "speaker": "Student", - "dialogue": "The map is keeping track of like." - }, - { - "start": "27:42.44", - "stop": "27:45.44", - "speaker": "Tutor", - "dialogue": "I'm not sure. Maybe like how much traffic." - }, - { - "start": "27:45.44", - "stop": "27:46.44", - "speaker": "Tutor", - "dialogue": "It was." - }, - { - "start": "27:46.44", - "stop": "27:50.44", - "speaker": "Tutor", - "dialogue": "Or something." - }, - { - "start": "27:50.44", - "stop": "27:54.44", - "speaker": "Tutor", - "dialogue": "Yeah. So the graph is keep, you've talked about the easy drive or an interrupted drive." - }, - { - "start": "27:54.44", - "stop": "27:57.44", - "speaker": "Tutor", - "dialogue": "So that graph is keeping track of how the car is moving somehow." - }, - { - "start": "27:57.44", - "stop": "28:01.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "28:01.44", - "stop": "28:03.44", - "speaker": "Tutor", - "dialogue": "And you said C is at the same point because distance hasn't changed." - }, - { - "start": "28:03.44", - "stop": "28:05.44", - "speaker": "Tutor", - "dialogue": "So." - }, - { - "start": "28:05.44", - "stop": "28:08.44", - "speaker": "Tutor", - "dialogue": "What's the difference from B to D." - }, - { - "start": "28:08.44", - "stop": "28:09.44", - "speaker": "Student", - "dialogue": "I'm sorry." - }, - { - "start": "28:09.44", - "stop": "28:11.44", - "speaker": "Student", - "dialogue": "C to D." - }, - { - "start": "28:11.44", - "stop": "28:14.44", - "speaker": "Student", - "dialogue": "From C to D." - }, - { - "start": "28:14.44", - "stop": "28:17.44", - "speaker": "Student", - "dialogue": "There is an increase in distance." - }, - { - "start": "28:17.44", - "stop": "28:21.44", - "speaker": "Tutor", - "dialogue": "And an increase in time." - }, - { - "start": "28:21.44", - "stop": "28:23.44", - "speaker": "Tutor", - "dialogue": "There's still that straight line from C to D." - }, - { - "start": "28:23.44", - "stop": "28:25.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "28:25.44", - "stop": "28:30.44", - "speaker": "Tutor", - "dialogue": "What's that easy driver." - }, - { - "start": "28:30.44", - "stop": "28:33.44", - "speaker": "Tutor", - "dialogue": "What's that easy driver." - }, - { - "start": "28:33.44", - "stop": "28:36.44", - "speaker": "Student", - "dialogue": "What's the difference in your mood about C to D." - }, - { - "start": "28:36.44", - "stop": "28:45.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "28:45.44", - "stop": "28:47.44", - "speaker": "Tutor", - "dialogue": "Is the from B to C." - }, - { - "start": "28:47.44", - "stop": "28:48.44", - "speaker": "Tutor", - "dialogue": "You said the car was stopped." - }, - { - "start": "28:48.44", - "stop": "28:51.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "28:51.44", - "stop": "28:54.44", - "speaker": "Student", - "dialogue": "From C to D is the car stopped." - }, - { - "start": "28:54.44", - "stop": "28:56.44", - "speaker": "Tutor", - "dialogue": "Oh, no, the car is moving." - }, - { - "start": "28:56.44", - "stop": "29:00.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "29:00.44", - "stop": "29:06.44", - "speaker": "Student", - "dialogue": "How fast was the car going from B to C." - }, - { - "start": "29:06.44", - "stop": "29:08.44", - "speaker": "Student", - "dialogue": "The car wasn't." - }, - { - "start": "29:08.44", - "stop": "29:09.44", - "speaker": "Student", - "dialogue": "Going at all." - }, - { - "start": "29:09.44", - "stop": "29:14.44", - "speaker": "Student", - "dialogue": "Because." - }, - { - "start": "29:14.44", - "stop": "29:16.44", - "speaker": "Tutor", - "dialogue": "It didn't move in distance and the distance in the same." - }, - { - "start": "29:16.44", - "stop": "29:17.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "29:17.44", - "stop": "29:18.44", - "speaker": "Tutor", - "dialogue": "So the car." - }, - { - "start": "29:18.44", - "stop": "29:20.44", - "speaker": "Tutor", - "dialogue": "Wasn't moving at all." - }, - { - "start": "29:20.44", - "stop": "29:22.44", - "speaker": "Tutor", - "dialogue": "From C to D." - }, - { - "start": "29:22.44", - "stop": "29:23.44", - "speaker": "Tutor", - "dialogue": "The car is moving." - }, - { - "start": "29:23.44", - "stop": "29:25.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "29:25.44", - "stop": "29:31.44", - "speaker": "Student", - "dialogue": "Do you think the car is going at all." - }, - { - "start": "29:31.44", - "stop": "29:33.44", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "29:33.44", - "stop": "29:37.44", - "speaker": "Tutor", - "dialogue": "I don't think so." - }, - { - "start": "29:37.44", - "stop": "29:45.44", - "speaker": "Student", - "dialogue": "What would we need to be able to say how fast the car is going." - }, - { - "start": "29:45.44", - "stop": "29:49.44", - "speaker": "Student", - "dialogue": "The amount of miles per hour." - }, - { - "start": "29:49.44", - "stop": "29:52.44", - "speaker": "Tutor", - "dialogue": "It's going." - }, - { - "start": "29:52.44", - "stop": "29:55.44", - "speaker": "Tutor", - "dialogue": "How fast was the car going." - }, - { - "start": "29:55.44", - "stop": "29:58.44", - "speaker": "Student", - "dialogue": "Per one hour." - }, - { - "start": "29:58.44", - "stop": "30:02.44", - "speaker": "Student", - "dialogue": "Oh, wait, no, no." - }, - { - "start": "30:02.44", - "stop": "30:06.44", - "speaker": "Student", - "dialogue": "What." - }, - { - "start": "30:06.44", - "stop": "30:08.44", - "speaker": "Student", - "dialogue": "I wouldn't give you how fast the car was going." - }, - { - "start": "30:08.44", - "stop": "30:26.44", - "speaker": "Student", - "dialogue": "How fast was the car going." - }, - { - "start": "30:26.44", - "stop": "30:32.44", - "speaker": "Tutor", - "dialogue": "I'm not sure." - }, - { - "start": "30:32.44", - "stop": "30:34.44", - "speaker": "Tutor", - "dialogue": "But something." - }, - { - "start": "30:34.44", - "stop": "30:36.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "30:36.44", - "stop": "30:38.44", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "30:38.44", - "stop": "30:40.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "30:40.44", - "stop": "30:41.44", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "30:41.44", - "stop": "30:43.44", - "speaker": "Student", - "dialogue": "Like exactly." - }, - { - "start": "30:43.44", - "stop": "30:48.44", - "speaker": "Tutor", - "dialogue": "How we would get it." - }, - { - "start": "30:48.44", - "stop": "30:50.44", - "speaker": "Tutor", - "dialogue": "How we would be able to determine how fast the car was going." - }, - { - "start": "30:50.44", - "stop": "30:51.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "30:51.44", - "stop": "30:52.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "30:52.44", - "stop": "30:55.44", - "speaker": "Tutor", - "dialogue": "If we know." - }, - { - "start": "30:55.44", - "stop": "31:00.44", - "speaker": "Tutor", - "dialogue": "So if we say that a car is going 75 miles per hour." - }, - { - "start": "31:00.44", - "stop": "31:02.44", - "speaker": "Tutor", - "dialogue": "That means that a car has traveled 75 miles." - }, - { - "start": "31:02.44", - "stop": "31:05.44", - "speaker": "Tutor", - "dialogue": "In one hour." - }, - { - "start": "31:05.44", - "stop": "31:08.44", - "speaker": "Tutor", - "dialogue": "So the car has traveled 75 miles." - }, - { - "start": "31:08.44", - "stop": "31:11.44", - "speaker": "Tutor", - "dialogue": "In the span of one hour." - }, - { - "start": "31:11.44", - "stop": "31:14.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "31:14.44", - "stop": "31:18.44", - "speaker": "Tutor", - "dialogue": "So anywhere along this graph, do we know anything about." - }, - { - "start": "31:18.44", - "stop": "31:19.44", - "speaker": "Student", - "dialogue": "Miles and hours." - }, - { - "start": "31:19.44", - "stop": "31:24.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "31:24.44", - "stop": "31:28.44", - "speaker": "Student", - "dialogue": "The car is traveling." - }, - { - "start": "31:28.44", - "stop": "31:29.44", - "speaker": "Tutor", - "dialogue": "50 miles per hour." - }, - { - "start": "31:29.44", - "stop": "31:33.44", - "speaker": "Student", - "dialogue": "From where." - }, - { - "start": "31:33.44", - "stop": "31:35.44", - "speaker": "Tutor", - "dialogue": "I don't know." - }, - { - "start": "31:35.44", - "stop": "31:37.44", - "speaker": "Tutor", - "dialogue": "How did you get 50 miles per hour?" - }, - { - "start": "31:37.44", - "stop": "31:39.44", - "speaker": "Tutor", - "dialogue": "Or how did you get." - }, - { - "start": "31:39.44", - "stop": "31:41.44", - "speaker": "Tutor", - "dialogue": "Miles per hour." - }, - { - "start": "31:41.44", - "stop": "31:43.44", - "speaker": "Student", - "dialogue": "How did you get 50 miles per hour from a to B?" - }, - { - "start": "31:43.44", - "stop": "31:47.44", - "speaker": "Student", - "dialogue": "Show me what you were seeing." - }, - { - "start": "31:47.44", - "stop": "31:49.44", - "speaker": "Student", - "dialogue": "I don't think this is from A to B because." - }, - { - "start": "31:49.44", - "stop": "31:51.44", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "31:51.44", - "stop": "31:54.44", - "speaker": "Student", - "dialogue": "But." - }, - { - "start": "31:54.44", - "stop": "31:57.44", - "speaker": "Student", - "dialogue": "Probably great here." - }, - { - "start": "31:57.44", - "stop": "31:58.44", - "speaker": "Tutor", - "dialogue": "Goes up to 50 within an hour." - }, - { - "start": "31:58.44", - "stop": "32:00.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "32:00.44", - "stop": "32:01.44", - "speaker": "Tutor", - "dialogue": "So from a to B." - }, - { - "start": "32:01.44", - "stop": "32:03.44", - "speaker": "Tutor", - "dialogue": "So." - }, - { - "start": "32:03.44", - "stop": "32:04.44", - "speaker": "Tutor", - "dialogue": "The car traveled." - }, - { - "start": "32:04.44", - "stop": "32:10.44", - "speaker": "Tutor", - "dialogue": "50 miles." - }, - { - "start": "32:10.44", - "stop": "32:13.44", - "speaker": "Tutor", - "dialogue": "In the period of." - }, - { - "start": "32:13.44", - "stop": "32:15.44", - "speaker": "Tutor", - "dialogue": "One hour. That's a weird looking five." - }, - { - "start": "32:15.44", - "stop": "32:17.44", - "speaker": "Tutor", - "dialogue": "Sorry." - }, - { - "start": "32:17.44", - "stop": "32:22.44", - "speaker": "Tutor", - "dialogue": "In the period of one hour." - }, - { - "start": "32:22.44", - "stop": "32:32.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "32:32.44", - "stop": "32:53.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "32:53.44", - "stop": "32:58.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "32:58.44", - "stop": "33:01.44", - "speaker": "Student", - "dialogue": "Is your yeah, like a yes. I know this is 50 miles per hour." - }, - { - "start": "33:01.44", - "stop": "33:02.44", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "33:02.44", - "stop": "33:03.44", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "33:03.44", - "stop": "33:05.44", - "speaker": "Student", - "dialogue": "I think it's like." - }, - { - "start": "33:05.44", - "stop": "33:09.44", - "speaker": "Student", - "dialogue": "From a zero." - }, - { - "start": "33:09.44", - "stop": "33:12.44", - "speaker": "Student", - "dialogue": "And then it goes up to 50. So I'm not sure if it would be from here to here." - }, - { - "start": "33:12.44", - "stop": "33:14.44", - "speaker": "Tutor", - "dialogue": "Or like from here to like here." - }, - { - "start": "33:14.44", - "stop": "33:16.44", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "33:16.44", - "stop": "33:17.44", - "speaker": "Student", - "dialogue": "Well, that's." - }, - { - "start": "33:17.44", - "stop": "33:18.44", - "speaker": "Student", - "dialogue": "I think this is right." - }, - { - "start": "33:18.44", - "stop": "33:20.44", - "speaker": "Tutor", - "dialogue": "Yeah, this is right." - }, - { - "start": "33:20.44", - "stop": "33:23.44", - "speaker": "Student", - "dialogue": "You're convinced now." - }, - { - "start": "33:23.44", - "stop": "33:26.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "33:26.44", - "stop": "33:27.44", - "speaker": "Tutor", - "dialogue": "Cause no one else would really make sense." - }, - { - "start": "33:27.44", - "stop": "33:29.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "33:29.44", - "stop": "33:31.44", - "speaker": "Tutor", - "dialogue": "So this line represented." - }, - { - "start": "33:31.44", - "stop": "33:32.44", - "speaker": "Tutor", - "dialogue": "Easy drive." - }, - { - "start": "33:32.44", - "stop": "33:35.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "33:35.44", - "stop": "33:37.44", - "speaker": "Tutor", - "dialogue": "And this line represented." - }, - { - "start": "33:37.44", - "stop": "33:38.44", - "speaker": "Student", - "dialogue": "Interrupted drive." - }, - { - "start": "33:38.44", - "stop": "33:42.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "33:42.44", - "stop": "33:44.44", - "speaker": "Tutor", - "dialogue": "If we know that the car is traveling 50 miles per hour." - }, - { - "start": "33:44.44", - "stop": "33:48.44", - "speaker": "Tutor", - "dialogue": "And we have this straight line here." - }, - { - "start": "33:48.44", - "stop": "33:52.44", - "speaker": "Tutor", - "dialogue": "Yeah, this shows that the car is traveling at a constant rate." - }, - { - "start": "33:52.44", - "stop": "33:55.44", - "speaker": "Tutor", - "dialogue": "Or constant speed." - }, - { - "start": "33:55.44", - "stop": "33:58.44", - "speaker": "Tutor", - "dialogue": "So from a to B, the car is traveling." - }, - { - "start": "33:58.44", - "stop": "34:00.44", - "speaker": "Student", - "dialogue": "At a constant speed." - }, - { - "start": "34:00.44", - "stop": "34:05.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "34:05.44", - "stop": "34:08.44", - "speaker": "Student", - "dialogue": "I think the straight lines." - }, - { - "start": "34:08.44", - "stop": "34:11.44", - "speaker": "Student", - "dialogue": "I present like 50 miles." - }, - { - "start": "34:11.44", - "stop": "34:14.44", - "speaker": "Student", - "dialogue": "Within the hour, because." - }, - { - "start": "34:14.44", - "stop": "34:18.44", - "speaker": "Student", - "dialogue": "From point C." - }, - { - "start": "34:18.44", - "stop": "34:22.44", - "speaker": "Student", - "dialogue": "To point D." - }, - { - "start": "34:22.44", - "stop": "34:24.44", - "speaker": "Tutor", - "dialogue": "That's 50 miles and that's within an hour or two." - }, - { - "start": "34:24.44", - "stop": "34:27.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "34:27.44", - "stop": "34:29.44", - "speaker": "Student", - "dialogue": "And what would you label that as?" - }, - { - "start": "34:29.44", - "stop": "34:33.44", - "speaker": "Student", - "dialogue": "Zero." - }, - { - "start": "34:33.44", - "stop": "34:35.44", - "speaker": "Student", - "dialogue": "Because the car hasn't moved." - }, - { - "start": "34:35.44", - "stop": "34:38.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "34:38.44", - "stop": "34:40.44", - "speaker": "Tutor", - "dialogue": "Yeah, we would label that as zero." - }, - { - "start": "34:40.44", - "stop": "34:42.44", - "speaker": "Tutor", - "dialogue": "Zero." - }, - { - "start": "34:42.44", - "stop": "34:43.44", - "speaker": "Tutor", - "dialogue": "Miles." - }, - { - "start": "34:43.44", - "stop": "34:44.44", - "speaker": "Tutor", - "dialogue": "Per." - }, - { - "start": "34:44.44", - "stop": "34:48.44", - "speaker": "Tutor", - "dialogue": "Hour." - }, - { - "start": "34:48.44", - "stop": "34:50.44", - "speaker": "Tutor", - "dialogue": "So from B to C, the speed." - }, - { - "start": "34:50.44", - "stop": "34:55.44", - "speaker": "Tutor", - "dialogue": "Stays the same." - }, - { - "start": "34:55.44", - "stop": "34:58.44", - "speaker": "Tutor", - "dialogue": "And then from D to E, the distance." - }, - { - "start": "34:58.44", - "stop": "35:03.44", - "speaker": "Tutor", - "dialogue": "What could you say about D to E?" - }, - { - "start": "35:03.44", - "stop": "35:08.44", - "speaker": "Tutor", - "dialogue": "And now you have even more purple power words." - }, - { - "start": "35:08.44", - "stop": "35:12.44", - "speaker": "Tutor", - "dialogue": "So you have the ones that we talked about already to describe how distance is changing." - }, - { - "start": "35:12.44", - "stop": "35:15.44", - "speaker": "Tutor", - "dialogue": "You have the ones to describe how time is changing." - }, - { - "start": "35:15.44", - "stop": "35:19.44", - "speaker": "Tutor", - "dialogue": "And you have started thinking about another." - }, - { - "start": "35:19.44", - "stop": "35:21.44", - "speaker": "Tutor", - "dialogue": "Thing in this situation that we can measure." - }, - { - "start": "35:21.44", - "stop": "35:25.44", - "speaker": "Tutor", - "dialogue": "So we have." - }, - { - "start": "35:25.44", - "stop": "35:29.44", - "speaker": "Student", - "dialogue": "And what's the unit that we use to think about speed?" - }, - { - "start": "35:29.44", - "stop": "35:33.44", - "speaker": "Tutor", - "dialogue": "Miles per hour." - }, - { - "start": "35:33.44", - "stop": "35:37.44", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "35:37.44", - "stop": "35:39.44", - "speaker": "Tutor", - "dialogue": "Now we have speed." - }, - { - "start": "35:39.44", - "stop": "35:42.44", - "speaker": "Tutor", - "dialogue": "That is also a thing that is changing." - }, - { - "start": "35:42.44", - "stop": "35:48.44", - "speaker": "Tutor", - "dialogue": "Or staying the same." - }, - { - "start": "35:48.44", - "stop": "35:51.44", - "speaker": "Student", - "dialogue": "So we have." - }, - { - "start": "35:51.44", - "stop": "36:03.44", - "speaker": "Student", - "dialogue": "From D to E." - }, - { - "start": "36:03.44", - "stop": "36:13.44", - "speaker": "Student", - "dialogue": "Music right here." - }, - { - "start": "36:13.44", - "stop": "36:18.44", - "speaker": "Student", - "dialogue": "And then from D to F." - }, - { - "start": "36:18.44", - "stop": "36:20.44", - "speaker": "Student", - "dialogue": "So then." - }, - { - "start": "36:20.44", - "stop": "36:23.44", - "speaker": "Student", - "dialogue": "That's." - }, - { - "start": "36:23.44", - "stop": "36:28.44", - "speaker": "Student", - "dialogue": "More than an hour." - }, - { - "start": "36:28.44", - "stop": "36:31.44", - "speaker": "Student", - "dialogue": "And." - }, - { - "start": "36:31.44", - "stop": "36:37.44", - "speaker": "Student", - "dialogue": "The distance is increasing." - }, - { - "start": "36:37.44", - "stop": "36:40.44", - "speaker": "Student", - "dialogue": "But it's not the full 50 miles." - }, - { - "start": "36:40.44", - "stop": "36:43.44", - "speaker": "Student", - "dialogue": "So." - }, - { - "start": "36:43.44", - "stop": "36:46.44", - "speaker": "Student", - "dialogue": "D to F." - }, - { - "start": "36:46.44", - "stop": "36:52.44", - "speaker": "Student", - "dialogue": "And that is within." - }, - { - "start": "36:52.44", - "stop": "37:02.44", - "speaker": "Tutor", - "dialogue": "About an hour and 45 minutes." - }, - { - "start": "37:02.44", - "stop": "37:06.44", - "speaker": "Tutor", - "dialogue": "So from D to E." - }, - { - "start": "37:06.44", - "stop": "37:09.44", - "speaker": "Tutor", - "dialogue": "Yeah, explain what is happening with distance." - }, - { - "start": "37:09.44", - "stop": "37:11.44", - "speaker": "Tutor", - "dialogue": "And." - }, - { - "start": "37:11.44", - "stop": "37:13.44", - "speaker": "Student", - "dialogue": "Using these words." - }, - { - "start": "37:13.44", - "stop": "37:16.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "37:16.44", - "stop": "37:19.44", - "speaker": "Student", - "dialogue": "With distance." - }, - { - "start": "37:19.44", - "stop": "37:22.44", - "speaker": "Student", - "dialogue": "That is." - }, - { - "start": "37:22.44", - "stop": "37:25.44", - "speaker": "Student", - "dialogue": "It's increasing." - }, - { - "start": "37:25.44", - "stop": "37:29.44", - "speaker": "Student", - "dialogue": "About 40 miles." - }, - { - "start": "37:29.44", - "stop": "37:33.44", - "speaker": "Student", - "dialogue": "And with time." - }, - { - "start": "37:33.44", - "stop": "37:37.44", - "speaker": "Student", - "dialogue": "There's an increase." - }, - { - "start": "37:37.44", - "stop": "37:40.44", - "speaker": "Student", - "dialogue": "In distance." - }, - { - "start": "37:40.44", - "stop": "37:44.44", - "speaker": "Student", - "dialogue": "And." - }, - { - "start": "37:44.44", - "stop": "38:12.44", - "speaker": "Tutor", - "dialogue": "And." - }, - { - "start": "38:12.44", - "stop": "38:15.44", - "speaker": "Student", - "dialogue": "And." - }, - { - "start": "38:15.44", - "stop": "38:18.44", - "speaker": "Student", - "dialogue": "It takes." - }, - { - "start": "38:18.44", - "stop": "38:22.44", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "38:22.44", - "stop": "38:24.44", - "speaker": "Student", - "dialogue": "Compared to the other." - }, - { - "start": "38:24.44", - "stop": "38:27.44", - "speaker": "Student", - "dialogue": "Like points." - }, - { - "start": "38:27.44", - "stop": "38:30.44", - "speaker": "Student", - "dialogue": "It takes a driver longer." - }, - { - "start": "38:30.44", - "stop": "38:32.44", - "speaker": "Student", - "dialogue": "To get to." - }, - { - "start": "38:32.44", - "stop": "38:38.44", - "speaker": "Student", - "dialogue": "E from point D." - }, - { - "start": "38:38.44", - "stop": "38:44.44", - "speaker": "Student", - "dialogue": "And it takes a driver a little bit longer." - }, - { - "start": "38:44.44", - "stop": "38:47.44", - "speaker": "Student", - "dialogue": "Did I say an hour and 45 minutes?" - }, - { - "start": "38:47.44", - "stop": "38:49.44", - "speaker": "Student", - "dialogue": "I meant an hour and like 15." - }, - { - "start": "38:49.44", - "stop": "38:51.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "38:51.44", - "stop": "38:53.44", - "speaker": "Student", - "dialogue": "So it takes a driver." - }, - { - "start": "38:53.44", - "stop": "38:56.44", - "speaker": "Student", - "dialogue": "About." - }, - { - "start": "38:56.44", - "stop": "38:58.44", - "speaker": "Student", - "dialogue": "15 Minutes longer than usual." - }, - { - "start": "38:58.44", - "stop": "38:59.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "38:59.44", - "stop": "39:02.44", - "speaker": "Tutor", - "dialogue": "And earlier you described." - }, - { - "start": "39:02.44", - "stop": "39:03.44", - "speaker": "Tutor", - "dialogue": "Interrupted drive." - }, - { - "start": "39:03.44", - "stop": "39:05.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "39:05.44", - "stop": "39:08.44", - "speaker": "Tutor", - "dialogue": "So." - }, - { - "start": "39:08.44", - "stop": "39:11.44", - "speaker": "Tutor", - "dialogue": "In terms of speed." - }, - { - "start": "39:11.44", - "stop": "39:16.44", - "speaker": "Student", - "dialogue": "What's happening from D to E with a speed." - }, - { - "start": "39:16.44", - "stop": "39:20.44", - "speaker": "Student", - "dialogue": "The driver's like slowing down." - }, - { - "start": "39:20.44", - "stop": "39:23.44", - "speaker": "Student", - "dialogue": "And then like right here, they go back." - }, - { - "start": "39:23.44", - "stop": "39:26.44", - "speaker": "Student", - "dialogue": "To how they were normally driving." - }, - { - "start": "39:26.44", - "stop": "39:28.44", - "speaker": "Student", - "dialogue": "But then they start slowing down again." - }, - { - "start": "39:28.44", - "stop": "39:30.44", - "speaker": "Tutor", - "dialogue": "So it's not." - }, - { - "start": "39:30.44", - "stop": "39:32.44", - "speaker": "Tutor", - "dialogue": "50 Miles per hour." - }, - { - "start": "39:32.44", - "stop": "39:35.44", - "speaker": "Tutor", - "dialogue": "It's not a constant speed." - }, - { - "start": "39:35.44", - "stop": "39:37.44", - "speaker": "Tutor", - "dialogue": "Or we could think about it as it's not a constant." - }, - { - "start": "39:37.44", - "stop": "39:38.44", - "speaker": "Tutor", - "dialogue": "Rate of change." - }, - { - "start": "39:38.44", - "stop": "39:41.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "39:41.44", - "stop": "39:43.44", - "speaker": "Tutor", - "dialogue": "If it's a constant rate of change." - }, - { - "start": "39:43.44", - "stop": "39:45.44", - "speaker": "Tutor", - "dialogue": "Then we have this." - }, - { - "start": "39:45.44", - "stop": "39:49.44", - "speaker": "Tutor", - "dialogue": "Easy drive or the smooth line." - }, - { - "start": "39:49.44", - "stop": "39:51.44", - "speaker": "Tutor", - "dialogue": "And that means all along from C to D." - }, - { - "start": "39:51.44", - "stop": "39:53.44", - "speaker": "Tutor", - "dialogue": "Or a to B." - }, - { - "start": "39:53.44", - "stop": "39:55.44", - "speaker": "Tutor", - "dialogue": "The car is traveling at a constant speed." - }, - { - "start": "39:55.44", - "stop": "39:57.44", - "speaker": "Tutor", - "dialogue": "It's like they set cruise control." - }, - { - "start": "39:57.44", - "stop": "39:58.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "39:58.44", - "stop": "39:59.44", - "speaker": "Tutor", - "dialogue": "But from D to E." - }, - { - "start": "39:59.44", - "stop": "40:01.44", - "speaker": "Tutor", - "dialogue": "It's not a constant speed." - }, - { - "start": "40:01.44", - "stop": "40:03.44", - "speaker": "Tutor", - "dialogue": "It's a constant speed." - }, - { - "start": "40:03.44", - "stop": "40:05.44", - "speaker": "Tutor", - "dialogue": "So it increases." - }, - { - "start": "40:05.44", - "stop": "40:06.44", - "speaker": "Tutor", - "dialogue": "And then it." - }, - { - "start": "40:06.44", - "stop": "40:07.44", - "speaker": "Tutor", - "dialogue": "Stays the same." - }, - { - "start": "40:07.44", - "stop": "40:10.44", - "speaker": "Tutor", - "dialogue": "And then it increases." - }, - { - "start": "40:10.44", - "stop": "40:12.44", - "speaker": "Tutor", - "dialogue": "So that means that car is stopping and going." - }, - { - "start": "40:12.44", - "stop": "40:13.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "40:13.44", - "stop": "40:14.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "40:14.44", - "stop": "40:15.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "40:15.44", - "stop": "40:16.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "40:16.44", - "stop": "40:17.44", - "speaker": "Tutor", - "dialogue": "So." - }, - { - "start": "40:17.44", - "stop": "40:19.44", - "speaker": "Tutor", - "dialogue": "Earlier." - }, - { - "start": "40:19.44", - "stop": "40:21.44", - "speaker": "Tutor", - "dialogue": "When you were talking about." - }, - { - "start": "40:21.44", - "stop": "40:25.44", - "speaker": "Tutor", - "dialogue": "Let me move these out of the way." - }, - { - "start": "40:25.44", - "stop": "40:29.44", - "speaker": "Tutor", - "dialogue": "Earlier." - }, - { - "start": "40:29.44", - "stop": "40:32.44", - "speaker": "Tutor", - "dialogue": "We talked about how we would look at the speed." - }, - { - "start": "40:32.44", - "stop": "40:35.44", - "speaker": "Tutor", - "dialogue": "And figure out how many miles." - }, - { - "start": "40:35.44", - "stop": "40:38.44", - "speaker": "Tutor", - "dialogue": "And the time of the." - }, - { - "start": "40:38.44", - "stop": "40:42.44", - "speaker": "Tutor", - "dialogue": "Situation and think about hours." - }, - { - "start": "40:42.44", - "stop": "40:48.44", - "speaker": "Tutor", - "dialogue": "And then we said we would explore a little bit about what this blue line was keeping track of." - }, - { - "start": "40:48.44", - "stop": "40:51.44", - "speaker": "Tutor", - "dialogue": "So in your own words, how would you describe." - }, - { - "start": "40:51.44", - "stop": "40:56.44", - "speaker": "Student", - "dialogue": "What that blue line is showing or keeping track of." - }, - { - "start": "40:56.44", - "stop": "41:08.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "41:08.44", - "stop": "41:14.44", - "speaker": "Student", - "dialogue": "The blue line kept track of like the speed." - }, - { - "start": "41:14.44", - "stop": "41:17.44", - "speaker": "Tutor", - "dialogue": "The drivers going." - }, - { - "start": "41:17.44", - "stop": "41:21.44", - "speaker": "Tutor", - "dialogue": "Exactly. And the speed is this thing." - }, - { - "start": "41:21.44", - "stop": "41:25.44", - "speaker": "Tutor", - "dialogue": "That's a relationship of miles to hours." - }, - { - "start": "41:25.44", - "stop": "41:28.44", - "speaker": "Tutor", - "dialogue": "And then we said, okay, let's." - }, - { - "start": "41:28.44", - "stop": "41:31.44", - "speaker": "Tutor", - "dialogue": "Let me move this." - }, - { - "start": "41:31.44", - "stop": "41:36.44", - "speaker": "Tutor", - "dialogue": "A little bit." - }, - { - "start": "41:36.44", - "stop": "41:41.44", - "speaker": "Tutor", - "dialogue": "In this particular situation, we happen to be thinking about distance." - }, - { - "start": "41:41.44", - "stop": "41:45.44", - "speaker": "Tutor", - "dialogue": "And it's a thing that is changing. And so we could measure how it's changing." - }, - { - "start": "41:45.44", - "stop": "41:47.44", - "speaker": "Tutor", - "dialogue": "We could measure how time." - }, - { - "start": "41:47.44", - "stop": "41:51.44", - "speaker": "Tutor", - "dialogue": "In terms of hours is changing." - }, - { - "start": "41:51.44", - "stop": "41:54.44", - "speaker": "Tutor", - "dialogue": "And then what goes on in the middle of the graph." - }, - { - "start": "41:54.44", - "stop": "41:57.44", - "speaker": "Tutor", - "dialogue": "Is the number of hours." - }, - { - "start": "41:57.44", - "stop": "42:01.44", - "speaker": "Tutor", - "dialogue": "Are changing together." - }, - { - "start": "42:01.44", - "stop": "42:03.44", - "speaker": "Tutor", - "dialogue": "So no matter what type of graph you're dealing with." - }, - { - "start": "42:03.44", - "stop": "42:07.44", - "speaker": "Tutor", - "dialogue": "In school or life." - }, - { - "start": "42:07.44", - "stop": "42:10.44", - "speaker": "Tutor", - "dialogue": "Challenge yourself to think about these purple words." - }, - { - "start": "42:10.44", - "stop": "42:13.44", - "speaker": "Tutor", - "dialogue": "As a way to make sense of the situation here." - }, - { - "start": "42:13.44", - "stop": "42:18.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "42:18.44", - "stop": "42:23.44", - "speaker": "Tutor", - "dialogue": "Is this variable increasing, decreasing, or staying the same." - }, - { - "start": "42:23.44", - "stop": "42:27.44", - "speaker": "Tutor", - "dialogue": "And how are they changing in relation to each other." - }, - { - "start": "42:27.44", - "stop": "42:29.44", - "speaker": "Tutor", - "dialogue": "And that's what the middle of the graph." - }, - { - "start": "42:29.44", - "stop": "42:33.44", - "speaker": "Tutor", - "dialogue": "Always describes for us." - }, - { - "start": "42:33.44", - "stop": "42:34.44", - "speaker": "Tutor", - "dialogue": "Make sense." - }, - { - "start": "42:34.44", - "stop": "42:35.44", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "42:35.44", - "stop": "42:36.44", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "42:36.44", - "stop": "42:38.44", - "speaker": "Tutor", - "dialogue": "So, you know, that you're helping us test out this platform." - }, - { - "start": "42:38.44", - "stop": "42:39.44", - "speaker": "Tutor", - "dialogue": "And this way of." - }, - { - "start": "42:39.44", - "stop": "42:42.44", - "speaker": "Tutor", - "dialogue": "Engaging in a math learning experience." - }, - { - "start": "42:42.44", - "stop": "42:46.44", - "speaker": "Tutor", - "dialogue": "So I would love to hear what this experience was like for you." - }, - { - "start": "42:46.44", - "stop": "42:49.44", - "speaker": "Tutor", - "dialogue": "Is there anything that you feel like you learned." - }, - { - "start": "42:49.44", - "stop": "42:53.44", - "speaker": "Student", - "dialogue": "That you feel like you're different about now." - }, - { - "start": "42:53.44", - "stop": "42:58.44", - "speaker": "Student", - "dialogue": "I feel like I learned." - }, - { - "start": "42:58.44", - "stop": "43:01.44", - "speaker": "Student", - "dialogue": "Let me see." - }, - { - "start": "43:01.44", - "stop": "43:05.44", - "speaker": "Student", - "dialogue": "Like how to like." - }, - { - "start": "43:05.44", - "stop": "43:08.44", - "speaker": "Student", - "dialogue": "To reconsider my thoughts on things." - }, - { - "start": "43:08.44", - "stop": "43:10.44", - "speaker": "Student", - "dialogue": "And stuff like when you ask." - }, - { - "start": "43:10.44", - "stop": "43:15.44", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "43:15.44", - "stop": "43:19.44", - "speaker": "Student", - "dialogue": "I'm going to think about this." - }, - { - "start": "43:19.44", - "stop": "43:22.44", - "speaker": "Student", - "dialogue": "Or rethink it out and realize, oh, this might've been wrong." - }, - { - "start": "43:22.44", - "stop": "43:23.44", - "speaker": "Student", - "dialogue": "This might've." - }, - { - "start": "43:23.44", - "stop": "43:25.44", - "speaker": "Student", - "dialogue": "But yeah." - }, - { - "start": "43:25.44", - "stop": "43:27.44", - "speaker": "Student", - "dialogue": "It was very engaging." - }, - { - "start": "43:27.44", - "stop": "43:29.44", - "speaker": "Student", - "dialogue": "And." - }, - { - "start": "43:29.44", - "stop": "43:31.44", - "speaker": "Student", - "dialogue": "Yeah, it just made me think." - }, - { - "start": "43:31.44", - "stop": "43:34.44", - "speaker": "Tutor", - "dialogue": "And stuff." - }, - { - "start": "43:34.44", - "stop": "43:39.44", - "speaker": "Tutor", - "dialogue": "What was helpful for you?" - }, - { - "start": "43:39.44", - "stop": "43:44.44", - "speaker": "Student", - "dialogue": "Or what are some things that we should think about doing differently to make it better?" - }, - { - "start": "43:44.44", - "stop": "44:00.44", - "speaker": "Student", - "dialogue": "What was helpful?" - }, - { - "start": "44:00.44", - "stop": "44:03.44", - "speaker": "Student", - "dialogue": "What was helpful was when." - }, - { - "start": "44:03.44", - "stop": "44:05.44", - "speaker": "Student", - "dialogue": "You would like." - }, - { - "start": "44:05.44", - "stop": "44:07.44", - "speaker": "Student", - "dialogue": "Help me put my thoughts into words." - }, - { - "start": "44:07.44", - "stop": "44:10.44", - "speaker": "Student", - "dialogue": "I kind of feel like jumbled." - }, - { - "start": "44:10.44", - "stop": "44:13.44", - "speaker": "Student", - "dialogue": "And stuff that was very helpful." - }, - { - "start": "44:13.44", - "stop": "44:17.44", - "speaker": "Student", - "dialogue": "And I don't think there's anything I would really change." - }, - { - "start": "44:17.44", - "stop": "44:22.44", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "44:22.44", - "stop": "44:23.44", - "speaker": "Student", - "dialogue": "Thank you so much for joining tonight." - }, - { - "start": "44:23.44", - "stop": "44:27.44", - "speaker": "Tutor", - "dialogue": "Always do that." - }, - { - "start": "44:27.44", - "stop": "44:31.44", - "speaker": "Tutor", - "dialogue": "You are a really deep thinker." - }, - { - "start": "44:31.44", - "stop": "44:33.44", - "speaker": "Tutor", - "dialogue": "And give yourself permission to do that all the time." - }, - { - "start": "44:33.44", - "stop": "44:34.44", - "speaker": "Tutor", - "dialogue": "And question." - }, - { - "start": "44:34.44", - "stop": "44:40.44", - "speaker": "Tutor", - "dialogue": "And make sense of what it is in the situation." - }, - { - "start": "44:40.44", - "stop": "44:46.44", - "speaker": "Student", - "dialogue": "I will definitely do that more in the upcoming school year." - }, - { - "start": "44:46.44", - "stop": "44:48.44", - "speaker": "Tutor", - "dialogue": "Fantastic." - }, - { - "start": "44:48.44", - "stop": "44:51.44", - "speaker": "Tutor", - "dialogue": "And then always challenge yourself to think about what's going on in this graph." - }, - { - "start": "44:51.44", - "stop": "44:52.44", - "speaker": "Tutor", - "dialogue": "In this situation." - }, - { - "start": "44:52.44", - "stop": "44:54.44", - "speaker": "Tutor", - "dialogue": "What does it keep track of?" - }, - { - "start": "44:54.44", - "stop": "44:55.44", - "speaker": "Tutor", - "dialogue": "And what does it mean?" - }, - { - "start": "44:55.44", - "stop": "44:56.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "44:56.44", - "stop": "44:57.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "44:57.44", - "stop": "44:58.44", - "speaker": "Tutor", - "dialogue": "Great." - }, - { - "start": "44:58.44", - "stop": "44:59.44", - "speaker": "Tutor", - "dialogue": "Thank you for joining." - }, - { - "start": "44:59.44", - "stop": "45:01.44", - "speaker": "Tutor", - "dialogue": "Thank you." - }, - { - "start": "45:01.44", - "stop": "45:02.44", - "speaker": "Student", - "dialogue": "Have a good night." - }, - { - "start": "45:02.44", - "stop": "45:03.44", - "speaker": "Student", - "dialogue": "Have a good night." - }, - { - "start": "45:03.44", - "stop": "45:04.44", - "speaker": "Student", - "dialogue": "Bye." - }, - { - "start": "45:04.44", - "stop": "45:05.44", - "speaker": "Student", - "dialogue": "Bye." - }, - { - "start": "45:05.44", - "stop": "45:10.44", - "speaker": "Student", - "dialogue": "Bye." - } -] \ No newline at end of file diff --git a/data/amber/4245.json b/data/amber/4245.json deleted file mode 100644 index a4a5167..0000000 --- a/data/amber/4245.json +++ /dev/null @@ -1,2948 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:05.16", - "speaker": "Tutor", - "dialogue": "Okay, do you see my pointer moving?" - }, - { - "start": "00:05.16", - "stop": "00:06.16", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "00:06.16", - "stop": "00:07.40", - "speaker": "Tutor", - "dialogue": "All right, try to move yours." - }, - { - "start": "00:07.40", - "stop": "00:09.24", - "speaker": "Tutor", - "dialogue": "Let me make sure I can see you too." - }, - { - "start": "00:09.24", - "stop": "00:10.24", - "speaker": "Tutor", - "dialogue": "Awesome." - }, - { - "start": "00:10.24", - "stop": "00:12.04", - "speaker": "Tutor", - "dialogue": "You see the tools on the left-hand side?" - }, - { - "start": "00:12.04", - "stop": "00:13.04", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "00:13.04", - "stop": "00:18.52", - "speaker": "Tutor", - "dialogue": "All right, so we're going to practice using a couple of them because the erase function can get a little bit tricky." - }, - { - "start": "00:18.52", - "stop": "00:21.52", - "speaker": "Tutor", - "dialogue": "The pencil, that's the second one down." - }, - { - "start": "00:21.52", - "stop": "00:27.00", - "speaker": "Tutor", - "dialogue": "Whenever you click on it, right above, you'll see the color box and size box pop up." - }, - { - "start": "00:27.00", - "stop": "00:31.72", - "speaker": "Tutor", - "dialogue": "That's where you can change things if you decide that you want to make something a different color or a different size." - }, - { - "start": "00:31.72", - "stop": "00:39.42", - "speaker": "Tutor", - "dialogue": "And then the T with a, or a box with a T in the center, it's a text box if you would rather type instead of draw." - }, - { - "start": "00:39.42", - "stop": "00:51.96", - "speaker": "Tutor", - "dialogue": "And if you create something and you decide that you change your mind and want to erase it, you use this top arrow to select what it is that you want to erase." - }, - { - "start": "00:51.96", - "stop": "00:56.96", - "speaker": "Tutor", - "dialogue": "And then the arrow with an X to erase exactly what's selected." - }, - { - "start": "00:56.96", - "stop": "01:00.08", - "speaker": "Tutor", - "dialogue": "If you hit the trash can button, it will erase everything." - }, - { - "start": "01:00.08", - "stop": "01:02.48", - "speaker": "Tutor", - "dialogue": "And we don't want to do that because then we can't get your work back." - }, - { - "start": "01:02.48", - "stop": "01:03.48", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:03.48", - "stop": "01:17.10", - "speaker": "Tutor", - "dialogue": "Okay, so practice drawing something and then erasing what you drew." - }, - { - "start": "01:17.10", - "stop": "01:22.88", - "speaker": "Tutor", - "dialogue": "So use this top arrow up here to select what you want to erase." - }, - { - "start": "01:22.88", - "stop": "01:25.68", - "speaker": "Tutor", - "dialogue": "And then once it's selected, you can click the erase button." - }, - { - "start": "01:25.68", - "stop": "01:39.92", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "01:39.92", - "stop": "01:40.92", - "speaker": "Tutor", - "dialogue": "It's a little bit tricky." - }, - { - "start": "01:40.92", - "stop": "01:41.92", - "speaker": "Tutor", - "dialogue": "Makes sense?" - }, - { - "start": "01:41.92", - "stop": "01:42.92", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:42.92", - "stop": "01:47.78", - "speaker": "Tutor", - "dialogue": "You can also close your chat box if it's open to give you some more workspace." - }, - { - "start": "01:47.78", - "stop": "01:50.96", - "speaker": "Tutor", - "dialogue": "Because we'll be talking back and forth like this." - }, - { - "start": "01:50.96", - "stop": "01:56.80", - "speaker": "Tutor", - "dialogue": "And on that note, I will ask you lots of questions, but that doesn't necessarily mean that you have to answer all of them." - }, - { - "start": "01:56.80", - "stop": "01:59.80", - "speaker": "Tutor", - "dialogue": "You just have to think about what you're thinking about." - }, - { - "start": "01:59.80", - "stop": "02:01.64", - "speaker": "Tutor", - "dialogue": "So I'm going to ask you a few questions." - }, - { - "start": "02:01.64", - "stop": "02:04.64", - "speaker": "Tutor", - "dialogue": "And then I'm going to ask you to think about what you're thinking about." - }, - { - "start": "02:04.64", - "stop": "02:07.80", - "speaker": "Tutor", - "dialogue": "And then you can use your chat box to ask questions." - }, - { - "start": "02:07.80", - "stop": "02:12.68", - "speaker": "Tutor", - "dialogue": "And then I want to ask you a few questions and then I'm going to ask you to think about what you're thinking about." - }, - { - "start": "02:12.68", - "stop": "02:16.00", - "speaker": "Tutor", - "dialogue": "So it's nice you can just verbalize it and say, I'm not sure." - }, - { - "start": "02:16.00", - "stop": "02:17.96", - "speaker": "Tutor", - "dialogue": "Give me some time to think." - }, - { - "start": "02:17.96", - "stop": "02:20.46", - "speaker": "Tutor", - "dialogue": "And then I won't interrupt your thinking that way." - }, - { - "start": "02:20.46", - "stop": "02:21.46", - "speaker": "Tutor", - "dialogue": "Cool?" - }, - { - "start": "02:21.46", - "stop": "02:22.46", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "02:22.46", - "stop": "02:23.46", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "02:23.46", - "stop": "02:24.46", - "speaker": "Tutor", - "dialogue": "We're going to get started." - }, - { - "start": "02:24.46", - "stop": "02:43.60", - "speaker": "Student", - "dialogue": "I'm guessing it might be distance related." - }, - { - "start": "02:43.60", - "stop": "02:48.52", - "speaker": "Student", - "dialogue": "What's it called?" - }, - { - "start": "02:48.52", - "stop": "02:49.52", - "speaker": "Student", - "dialogue": "Possibly rate of change?" - }, - { - "start": "02:49.52", - "stop": "02:52.20", - "speaker": "Tutor", - "dialogue": "You said distance related." - }, - { - "start": "02:52.20", - "stop": "02:53.82", - "speaker": "Student", - "dialogue": "And what else?" - }, - { - "start": "02:53.82", - "stop": "02:55.36", - "speaker": "Tutor", - "dialogue": "Possibly rate of change." - }, - { - "start": "02:55.36", - "stop": "02:57.96", - "speaker": "Tutor", - "dialogue": "Something might be changing." - }, - { - "start": "02:57.96", - "stop": "03:05.04", - "speaker": "Tutor", - "dialogue": "What are some things that we might measure in this situation?" - }, - { - "start": "03:05.04", - "stop": "03:07.08", - "speaker": "Student", - "dialogue": "Distance and time ratio." - }, - { - "start": "03:07.08", - "stop": "03:08.24", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:08.24", - "stop": "03:15.40", - "speaker": "Tutor", - "dialogue": "So if you are measuring distance and time ratio, what are some units we might use to" - }, - { - "start": "03:15.40", - "stop": "03:25.88", - "speaker": "Student", - "dialogue": "measure that? Probably like miles per hour." - }, - { - "start": "03:25.88", - "stop": "03:27.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:27.60", - "stop": "03:29.24", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "03:29.24", - "stop": "03:33.80", - "speaker": "Tutor", - "dialogue": "So we would use the miles per hour as a unit?" - }, - { - "start": "03:33.80", - "stop": "03:36.12", - "speaker": "Student", - "dialogue": "Yeah, most likely." - }, - { - "start": "03:36.12", - "stop": "03:41.56", - "speaker": "Tutor", - "dialogue": "Use your arrow to show me what's happening in this situation with the car." - }, - { - "start": "03:41.56", - "stop": "03:45.88", - "speaker": "Student", - "dialogue": "What's it doing?" - }, - { - "start": "03:45.88", - "stop": "03:50.52", - "speaker": "Student", - "dialogue": "It's driving like upwards." - }, - { - "start": "03:50.52", - "stop": "03:51.52", - "speaker": "None", - "dialogue": "Okay." - }, - { - "start": "03:51.52", - "stop": "03:53.96", - "speaker": "Tutor", - "dialogue": "So if we're pretending..." - }, - { - "start": "03:53.96", - "stop": "03:55.96", - "speaker": "Student", - "dialogue": "No, down, sorry." - }, - { - "start": "03:55.96", - "stop": "03:56.96", - "speaker": "Tutor", - "dialogue": "Oh, wait." - }, - { - "start": "03:56.96", - "stop": "04:05.16", - "speaker": "Tutor", - "dialogue": "Is it up or down or could it be both?" - }, - { - "start": "04:05.16", - "stop": "04:07.36", - "speaker": "Student", - "dialogue": "From province to New York." - }, - { - "start": "04:07.36", - "stop": "04:08.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:08.36", - "stop": "04:12.08", - "speaker": "Tutor", - "dialogue": "And it's going to drive through New York City on that interstate." - }, - { - "start": "04:12.08", - "stop": "04:13.08", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "04:13.08", - "stop": "04:14.08", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "04:14.08", - "stop": "04:19.72", - "speaker": "Tutor", - "dialogue": "Now I'm going to uncover something else." - }, - { - "start": "04:19.72", - "stop": "04:28.08", - "speaker": "Tutor", - "dialogue": "And tell me how this is similar or different to what you were thinking about." - }, - { - "start": "04:28.08", - "stop": "04:33.76", - "speaker": "Student", - "dialogue": "It's very similar because it's also a rate of change and it's miles per hour." - }, - { - "start": "04:33.76", - "stop": "04:34.76", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:34.76", - "stop": "04:38.88", - "speaker": "Tutor", - "dialogue": "Show me where you see that miles per hour or that rate of change." - }, - { - "start": "04:38.88", - "stop": "04:50.88", - "speaker": "Student", - "dialogue": "Well, it's talking about on this side, it's the distance in correlation with how much time has gone by in hours." - }, - { - "start": "04:50.88", - "stop": "04:51.88", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:51.88", - "stop": "04:53.88", - "speaker": "Tutor", - "dialogue": "So what's the blue line showing then?" - }, - { - "start": "04:53.88", - "stop": "04:59.52", - "speaker": "Tutor", - "dialogue": "Is it showing miles or is it showing hours or is it showing something else?" - }, - { - "start": "04:59.52", - "stop": "05:04.68", - "speaker": "Student", - "dialogue": "It's showing how many miles the car has moved per hour." - }, - { - "start": "05:04.68", - "stop": "05:05.88", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "05:05.88", - "stop": "05:06.88", - "speaker": "Tutor", - "dialogue": "So you used..." - }, - { - "start": "05:06.88", - "stop": "05:08.16", - "speaker": "Tutor", - "dialogue": "Let me see exactly what it was." - }, - { - "start": "05:08.16", - "stop": "05:11.08", - "speaker": "Tutor", - "dialogue": "You said a distance time ratio." - }, - { - "start": "05:11.08", - "stop": "05:20.48", - "speaker": "Tutor", - "dialogue": "Do you see that ratio anywhere on this graph?" - }, - { - "start": "05:20.48", - "stop": "05:34.16", - "speaker": "Student", - "dialogue": "I suppose like on the letters, how there's zero and zero, 50 to one." - }, - { - "start": "05:34.16", - "stop": "05:35.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "05:35.44", - "stop": "05:40.80", - "speaker": "Tutor", - "dialogue": "So is the ratio just at point B?" - }, - { - "start": "05:40.80", - "stop": "05:45.80", - "speaker": "Tutor", - "dialogue": "Like you can describe a ratio at point B or can you describe a ratio of the blue line" - }, - { - "start": "05:45.80", - "stop": "05:58.52", - "speaker": "Student", - "dialogue": "at all? I think if calculated, there can be a ratio of the entirety of the line." - }, - { - "start": "05:58.52", - "stop": "06:03.36", - "speaker": "Tutor", - "dialogue": "And what would that ratio be telling us about this situation?" - }, - { - "start": "06:03.36", - "stop": "06:06.56", - "speaker": "Student", - "dialogue": "How many hours it would have taken for the..." - }, - { - "start": "06:06.56", - "stop": "06:24.52", - "speaker": "Student", - "dialogue": "Wait, I have to think about this real quick." - }, - { - "start": "06:24.52", - "stop": "06:32.80", - "speaker": "Student", - "dialogue": "Like how many hours it would be taking to get from Providence to Newark?" - }, - { - "start": "06:32.80", - "stop": "06:38.20", - "speaker": "Tutor", - "dialogue": "I thought that just this axis was keeping track of how many hours." - }, - { - "start": "06:38.20", - "stop": "06:40.52", - "speaker": "Tutor", - "dialogue": "Is it also keeping track of a ratio or something?" - }, - { - "start": "06:40.52", - "stop": "06:48.04", - "speaker": "Tutor", - "dialogue": "I'm trying to make sense of how all of that's connected." - }, - { - "start": "06:48.04", - "stop": "06:57.84", - "speaker": "Student", - "dialogue": "One sec." - }, - { - "start": "06:57.84", - "stop": "07:03.92", - "speaker": "Student", - "dialogue": "There might be a third factor to calculate with this graph." - }, - { - "start": "07:03.92", - "stop": "07:10.64", - "speaker": "Student", - "dialogue": "Say more about that." - }, - { - "start": "07:10.64", - "stop": "07:18.32", - "speaker": "Student", - "dialogue": "Like perhaps the speed at which the car is moving." - }, - { - "start": "07:18.32", - "stop": "07:22.68", - "speaker": "Tutor", - "dialogue": "Are we able to see the speed of the car in this?" - }, - { - "start": "07:22.68", - "stop": "07:26.60", - "speaker": "Student", - "dialogue": "No, we're not getting the speed." - }, - { - "start": "07:26.60", - "stop": "07:30.28", - "speaker": "Tutor", - "dialogue": "Are we able to determine the speed of the car?" - }, - { - "start": "07:30.28", - "stop": "07:31.28", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "07:31.28", - "stop": "07:35.08", - "speaker": "Tutor", - "dialogue": "How would we do that?" - }, - { - "start": "07:35.08", - "stop": "07:39.96", - "speaker": "Student", - "dialogue": "We do that by taking a look at how..." - }, - { - "start": "07:39.96", - "stop": "07:47.92", - "speaker": "Student", - "dialogue": "Well, at the graph and how it shows us how much distance it's traveled over these four hours." - }, - { - "start": "07:47.92", - "stop": "07:48.92", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "07:48.92", - "stop": "07:59.32", - "speaker": "Tutor", - "dialogue": "So as it is right now, do you see speed on the graph or are you saying we have enough information to figure out the speed, but it's not on the graph yet?" - }, - { - "start": "07:59.32", - "stop": "08:02.00", - "speaker": "Student", - "dialogue": "We have enough information to figure it out." - }, - { - "start": "08:02.00", - "stop": "08:03.12", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "08:03.12", - "stop": "08:09.48", - "speaker": "Tutor", - "dialogue": "So now using the map and the graph, describe what's happening during each stage of the journey." - }, - { - "start": "08:09.48", - "stop": "08:14.04", - "speaker": "Student", - "dialogue": "By each stage, you mean each hour?" - }, - { - "start": "08:14.04", - "stop": "08:16.40", - "speaker": "Tutor", - "dialogue": "Yeah, each section of the journey." - }, - { - "start": "08:16.40", - "stop": "08:19.88", - "speaker": "Tutor", - "dialogue": "So from like A to B, B to C, and so on." - }, - { - "start": "08:19.88", - "stop": "08:20.88", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "08:20.88", - "stop": "08:27.12", - "speaker": "Student", - "dialogue": "So in the first hour, the car drives 50 miles." - }, - { - "start": "08:27.12", - "stop": "08:36.12", - "speaker": "Student", - "dialogue": "And by point C, which is an hour and 30 minutes, the distance hasn't changed." - }, - { - "start": "08:36.12", - "stop": "08:40.12", - "speaker": "Student", - "dialogue": "So it can be inferred that it probably stopped." - }, - { - "start": "08:40.12", - "stop": "08:52.64", - "speaker": "Student", - "dialogue": "From C to D, D being two hours and 30 minutes, it drove another 50 miles." - }, - { - "start": "08:52.64", - "stop": "09:07.52", - "speaker": "Student", - "dialogue": "And then from D to E, yeah, E. It's another hour, making it three hours and 30 minutes." - }, - { - "start": "09:07.52", - "stop": "09:11.84", - "speaker": "Student", - "dialogue": "And that would be 140 miles." - }, - { - "start": "09:11.84", - "stop": "09:14.08", - "speaker": "Student", - "dialogue": "From E to F, it's..." - }, - { - "start": "09:14.08", - "stop": "09:25.72", - "speaker": "Student", - "dialogue": "Wait, no, no, 130 miles from D to E. It's 130 total." - }, - { - "start": "09:25.72", - "stop": "09:32.64", - "speaker": "Tutor", - "dialogue": "So each of these points can tell us how much distance has passed and how much time has" - }, - { - "start": "09:32.64", - "stop": "09:34.64", - "speaker": "Student", - "dialogue": "passed? Yes." - }, - { - "start": "09:34.64", - "stop": "09:43.40", - "speaker": "Tutor", - "dialogue": "So how come D to E has a bumpy line there, but C to D is a straight line?" - }, - { - "start": "09:43.40", - "stop": "10:09.92", - "speaker": "Student", - "dialogue": "Well if you try to, I guess, say, if you try to proportion the graph in comparison to the image here, you can look at the general patterns in which the trail moves." - }, - { - "start": "10:09.92", - "stop": "10:14.12", - "speaker": "Student", - "dialogue": "So these bumps are probably once they're in New York City." - }, - { - "start": "10:14.12", - "stop": "10:16.12", - "speaker": "Tutor", - "dialogue": "Why would it be when they're in New York City?" - }, - { - "start": "10:16.12", - "stop": "10:18.48", - "speaker": "Student", - "dialogue": "Well, there are a few things." - }, - { - "start": "10:18.48", - "stop": "10:23.40", - "speaker": "Student", - "dialogue": "You can think about the landscape, for one." - }, - { - "start": "10:23.40", - "stop": "10:24.40", - "speaker": "Student", - "dialogue": "I mean, I live in New York City." - }, - { - "start": "10:24.40", - "stop": "10:28.76", - "speaker": "Student", - "dialogue": "I know there's a lot of turns." - }, - { - "start": "10:28.76", - "stop": "10:35.44", - "speaker": "Student", - "dialogue": "It's probably, it's also possibly more crowded, a lot more traffic to drive through." - }, - { - "start": "10:35.44", - "stop": "10:41.88", - "speaker": "Student", - "dialogue": "So I don't know, just a lot of things to take into consideration like those." - }, - { - "start": "10:41.88", - "stop": "10:54.04", - "speaker": "Tutor", - "dialogue": "So specifically with what this graph is keeping track of, what's happening from D to E, and why would that be New York City?" - }, - { - "start": "10:54.04", - "stop": "11:13.80", - "speaker": "Student", - "dialogue": "What's happening is, it's not as per se smooth as the other areas." - }, - { - "start": "11:13.80", - "stop": "11:18.48", - "speaker": "Student", - "dialogue": "It's not, I suppose, as easy to drive through." - }, - { - "start": "11:18.48", - "stop": "11:23.12", - "speaker": "Tutor", - "dialogue": "So like the roads have potholes in them, or there's more turns or things like that?" - }, - { - "start": "11:23.12", - "stop": "11:27.24", - "speaker": "Student", - "dialogue": "Yeah, more turns, most likely." - }, - { - "start": "11:27.24", - "stop": "11:30.20", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "11:30.20", - "stop": "11:35.60", - "speaker": "Tutor", - "dialogue": "Let's now, you've started to think about where some of these points would be." - }, - { - "start": "11:35.60", - "stop": "11:38.58", - "speaker": "Tutor", - "dialogue": "Like you said, D to E is probably that section from New York City." - }, - { - "start": "11:38.58", - "stop": "11:40.08", - "speaker": "Tutor", - "dialogue": "So let's label." - }, - { - "start": "11:40.08", - "stop": "11:42.96", - "speaker": "Tutor", - "dialogue": "Where do you see the points on the map?" - }, - { - "start": "11:42.96", - "stop": "11:47.36", - "speaker": "Tutor", - "dialogue": "Where do you estimate they would be, and why?" - }, - { - "start": "11:47.36", - "stop": "11:59.64", - "speaker": "Student", - "dialogue": "So I see this like ending straight area would be F." - }, - { - "start": "11:59.64", - "stop": "12:11.92", - "speaker": "Student", - "dialogue": "As shown on the graph, since it's right after the city, which we just kind of discussed that it would probably be E, well D to E." - }, - { - "start": "12:11.92", - "stop": "12:12.92", - "speaker": "None", - "dialogue": "Okay." - }, - { - "start": "12:12.92", - "stop": "12:21.08", - "speaker": "Tutor", - "dialogue": "So actually put like a dot, where do you think point F would be on the road?" - }, - { - "start": "12:21.08", - "stop": "12:27.96", - "speaker": "Tutor", - "dialogue": "And leave your F there, yeah, so that we know that that's the label for that point, but where would you actually put that dot as well?" - }, - { - "start": "12:27.96", - "stop": "12:30.96", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "12:30.96", - "stop": "12:47.68", - "speaker": "Student", - "dialogue": "All right, so I'd end E like right here, and that would go to F, that's right here." - }, - { - "start": "12:47.68", - "stop": "12:55.32", - "speaker": "Student", - "dialogue": "And since it starts to get all bumpy at D, D would be right at this point." - }, - { - "start": "12:55.32", - "stop": "13:04.16", - "speaker": "Tutor", - "dialogue": "And your prediction right now is it's bumpy on the graph because there's turns, potholes, something like that in New York City." - }, - { - "start": "13:04.16", - "stop": "13:05.16", - "speaker": "Tutor", - "dialogue": "Most likely." - }, - { - "start": "13:05.16", - "stop": "13:06.16", - "speaker": "None", - "dialogue": "Okay, cool." - }, - { - "start": "13:06.16", - "stop": "13:15.72", - "speaker": "Student", - "dialogue": "And then, so the trickier part would probably be D to C, and from there to A." - }, - { - "start": "13:15.72", - "stop": "13:23.16", - "speaker": "Student", - "dialogue": "But I can take into consideration that there's like a stop right here in between B and C." - }, - { - "start": "13:23.16", - "stop": "13:32.64", - "speaker": "Student", - "dialogue": "So that stop would most likely be where there's what looks like an irrelevant marking." - }, - { - "start": "13:32.64", - "stop": "13:39.28", - "speaker": "Student", - "dialogue": "So I probably think that the stop in between B and C is like somewhere around here." - }, - { - "start": "13:39.28", - "stop": "13:43.88", - "speaker": "Tutor", - "dialogue": "Okay, put your points, where do you think B would be, where would C be?" - }, - { - "start": "13:43.88", - "stop": "13:47.80", - "speaker": "Tutor", - "dialogue": "And the cool thing is we're predicting right now." - }, - { - "start": "13:47.80", - "stop": "13:56.36", - "speaker": "Tutor", - "dialogue": "It's kind of like whenever you're writing a paper, and you write an outline or a rough draft, you're doing some rough draft thinking right now." - }, - { - "start": "13:56.36", - "stop": "13:57.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "13:57.36", - "stop": "14:21.76", - "speaker": "Student", - "dialogue": "I'm going to start from A right here, since A is zero, I can mark that at the starting point." - }, - { - "start": "14:21.76", - "stop": "14:31.24", - "speaker": "Tutor", - "dialogue": "And go ahead and put A right next to that point too, so we can keep track of what those little slashes mean." - }, - { - "start": "14:31.24", - "stop": "15:00.52", - "speaker": "Student", - "dialogue": "All right, and B and C are probably going to be, I'm actually saying in the midsection of these somewhere, which it's harder to tell because from A to like I-95, it's all curved compared to I-95 to New York City, which is straight." - }, - { - "start": "15:00.52", - "stop": "15:09.40", - "speaker": "Student", - "dialogue": "But somewhere halfway I think would be both B and C because they're both 50 miles away from the next point." - }, - { - "start": "15:09.40", - "stop": "15:10.40", - "speaker": "None", - "dialogue": "Okay." - }, - { - "start": "15:10.40", - "stop": "15:16.28", - "speaker": "Student", - "dialogue": "So I'll probably put it like somewhere right there." - }, - { - "start": "15:16.28", - "stop": "15:27.92", - "speaker": "Tutor", - "dialogue": "Okay, so you're thinking like this whole section is about 100 miles and both B and C are about 50, so it's like the midpoint of the trip?" - }, - { - "start": "15:27.92", - "stop": "15:28.92", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "15:28.92", - "stop": "15:29.92", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "15:29.92", - "stop": "15:32.48", - "speaker": "Tutor", - "dialogue": "And you said both B and C are the same point?" - }, - { - "start": "15:32.48", - "stop": "15:35.24", - "speaker": "Student", - "dialogue": "Yeah, since the distance doesn't change." - }, - { - "start": "15:35.24", - "stop": "15:36.24", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "15:36.24", - "stop": "15:40.68", - "speaker": "Tutor", - "dialogue": "So the distance stays the same while the time is still increasing?" - }, - { - "start": "15:40.68", - "stop": "15:41.68", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "15:41.68", - "stop": "15:44.08", - "speaker": "Tutor", - "dialogue": "Okay, so label up B and C." - }, - { - "start": "15:44.08", - "stop": "15:55.08", - "speaker": "None", - "dialogue": "D and E, yeah." - }, - { - "start": "15:55.08", - "stop": "16:34.72", - "speaker": "Tutor", - "dialogue": "And you started to say something about there's curvy lines here and straight lines here of the road, so I'm curious if this is the section that is A to B and it's got curves in it, but from A to B on the graph, it's a smooth line." - }, - { - "start": "16:34.72", - "stop": "16:35.72", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "16:35.72", - "stop": "16:42.00", - "speaker": "Student", - "dialogue": "What's going on there?" - }, - { - "start": "16:42.00", - "stop": "16:49.96", - "speaker": "Student", - "dialogue": "I'd have to generally..." - }, - { - "start": "16:49.96", - "stop": "16:58.08", - "speaker": "Student", - "dialogue": "I can't think of the word." - }, - { - "start": "16:58.08", - "stop": "17:24.20", - "speaker": "Student", - "dialogue": "The only reason it goes as smooth as it does on the graph is because, like in comparison to how New York City works, is that I inferred that there are most likely a lot of turns and more general roadblocks than from A to B." - }, - { - "start": "17:24.20", - "stop": "17:25.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "17:25.20", - "stop": "17:30.20", - "speaker": "Tutor", - "dialogue": "So we're going to dig into that a little bit more, okay?" - }, - { - "start": "17:30.20", - "stop": "17:31.20", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "17:31.20", - "stop": "17:34.72", - "speaker": "Tutor", - "dialogue": "This is some really cool thinking that you're trying to make sense of right now." - }, - { - "start": "17:34.72", - "stop": "17:46.56", - "speaker": "Tutor", - "dialogue": "I'm going to type a few things here." - }, - { - "start": "17:46.56", - "stop": "17:55.52", - "speaker": "Tutor", - "dialogue": "You've been using these words some as well, and we're going to call these the purple power words." - }, - { - "start": "17:55.52", - "stop": "17:58.04", - "speaker": "Tutor", - "dialogue": "I want you to challenge yourself." - }, - { - "start": "17:58.04", - "stop": "18:06.04", - "speaker": "Tutor", - "dialogue": "These are going to be part of our purple power words, and so are these." - }, - { - "start": "18:06.04", - "stop": "18:10.92", - "speaker": "Tutor", - "dialogue": "And then you've also talked about another power word." - }, - { - "start": "18:10.92", - "stop": "18:20.72", - "speaker": "Tutor", - "dialogue": "I'm going to put down here purple, because I think purple power sounds cool." - }, - { - "start": "18:20.72", - "stop": "18:21.72", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "18:21.72", - "stop": "18:22.72", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "18:22.72", - "stop": "18:25.88", - "speaker": "Tutor", - "dialogue": "Talk about speed as well." - }, - { - "start": "18:25.88", - "stop": "18:39.12", - "speaker": "Tutor", - "dialogue": "So we're going to look at just section A to B. And from A to B, describe what is happening using these purple power words." - }, - { - "start": "18:39.12", - "stop": "18:41.92", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "18:41.92", - "stop": "19:03.92", - "speaker": "Student", - "dialogue": "So there's a distance increases as well as the time." - }, - { - "start": "19:03.92", - "stop": "19:13.92", - "speaker": "Tutor", - "dialogue": "Can we say anything about speed?" - }, - { - "start": "19:13.92", - "stop": "19:27.60", - "speaker": "Student", - "dialogue": "Yeah, but I think speed really makes more sense when you're bringing A and B into comparison with other points." - }, - { - "start": "19:27.60", - "stop": "19:40.00", - "speaker": "Tutor", - "dialogue": "So that means you're thinking that speed, just trying to make sure I understand this, that speed is something that can be calculated at a point, but we can't think about the speed of the car during a section of the journey?" - }, - { - "start": "19:40.00", - "stop": "19:56.08", - "speaker": "Student", - "dialogue": "Well, actually, actually, we can calculate the, yeah, we can calculate the speed in which the car moved from A to B being 50 miles per hour." - }, - { - "start": "19:56.08", - "stop": "19:59.08", - "speaker": "Tutor", - "dialogue": "So you just added some stuff here." - }, - { - "start": "19:59.08", - "stop": "20:02.96", - "speaker": "Tutor", - "dialogue": "Okay, so this is in miles per hour." - }, - { - "start": "20:02.96", - "stop": "20:04.28", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "20:04.28", - "stop": "20:08.92", - "speaker": "Tutor", - "dialogue": "So speed is something that we can keep track of in units of miles per hour." - }, - { - "start": "20:08.92", - "stop": "20:15.20", - "speaker": "Tutor", - "dialogue": "And you think that from A to B, we can describe the speed of the car in miles per hour?" - }, - { - "start": "20:15.20", - "stop": "20:16.20", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "20:16.20", - "stop": "20:17.72", - "speaker": "Tutor", - "dialogue": "And what is the speed of the car?" - }, - { - "start": "20:17.72", - "stop": "20:19.52", - "speaker": "Student", - "dialogue": "50 miles per hour." - }, - { - "start": "20:19.52", - "stop": "20:27.72", - "speaker": "Tutor", - "dialogue": "Does the car travel at the same speed the entire section of the journey from A to B?" - }, - { - "start": "20:27.72", - "stop": "21:01.32", - "speaker": "Student", - "dialogue": "Well, that's, it can't, it's not something that can really be figured out, I suppose, because it's not, like the speed can vary, but it would have to, but the car would have to go a certain speed for it to be able to cover 50 miles in that hour." - }, - { - "start": "21:01.32", - "stop": "21:04.04", - "speaker": "Tutor", - "dialogue": "Okay, so from." - }, - { - "start": "21:04.04", - "stop": "21:08.12", - "speaker": "Student", - "dialogue": "So there are points where it could." - }, - { - "start": "21:08.12", - "stop": "21:19.64", - "speaker": "Tutor", - "dialogue": "If the car was varying, if the speed of the car was varying, what would that look like on the graph?" - }, - { - "start": "21:19.64", - "stop": "21:45.64", - "speaker": "Student", - "dialogue": "Well, if it were varying, then it probably would have, I don't think, it wouldn't have changed on the graph because it still ended up covering the 50 in one hour." - }, - { - "start": "21:45.64", - "stop": "21:55.76", - "speaker": "Tutor", - "dialogue": "So you're saying because the distance increased by 50 miles and the time increased by one hour, the speed of the car is 50 miles per hour?" - }, - { - "start": "21:55.76", - "stop": "22:02.76", - "speaker": "Student", - "dialogue": "Most likely, but it still could have varied." - }, - { - "start": "22:02.76", - "stop": "22:11.04", - "speaker": "Student", - "dialogue": "Wait, all right, I think I understand D and E now." - }, - { - "start": "22:11.04", - "stop": "22:16.64", - "speaker": "Student", - "dialogue": "I think it didn't vary because it's a straight line." - }, - { - "start": "22:16.64", - "stop": "22:20.88", - "speaker": "Tutor", - "dialogue": "So you're saying that we can see speed on this graph now?" - }, - { - "start": "22:20.88", - "stop": "22:22.20", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "22:22.20", - "stop": "22:24.80", - "speaker": "Tutor", - "dialogue": "Say more." - }, - { - "start": "22:24.80", - "stop": "23:01.96", - "speaker": "Student", - "dialogue": "Well, if you look at, I'll show you most of D and E for a second because it really helps with the example, since it is New York City and we're still thinking about all the possible turns and whatnot in the city, the speed would actually have to vary, which is probably the cause of the graph's line ending up all bumpy and stuff here." - }, - { - "start": "23:01.96", - "stop": "23:06.04", - "speaker": "Tutor", - "dialogue": "So we're going to do the same thing from D to E. This is really cool thinking you're doing here." - }, - { - "start": "23:06.04", - "stop": "23:09.12", - "speaker": "Tutor", - "dialogue": "Okay, so earlier, can you see what I typed up here in black?" - }, - { - "start": "23:09.12", - "stop": "23:10.12", - "speaker": "Tutor", - "dialogue": "Yep." - }, - { - "start": "23:10.12", - "stop": "23:14.08", - "speaker": "Tutor", - "dialogue": "So you said from A to B, the distance increases and so does the time." - }, - { - "start": "23:14.08", - "stop": "23:15.96", - "speaker": "Tutor", - "dialogue": "Let's add more detail to that." - }, - { - "start": "23:15.96", - "stop": "23:18.18", - "speaker": "Tutor", - "dialogue": "Do you know how much the distance increased?" - }, - { - "start": "23:18.18", - "stop": "23:20.00", - "speaker": "Tutor", - "dialogue": "You know how much the time increased?" - }, - { - "start": "23:20.00", - "stop": "23:25.32", - "speaker": "Tutor", - "dialogue": "And what could you say about speed from A to B?" - }, - { - "start": "23:25.32", - "stop": "23:33.00", - "speaker": "Student", - "dialogue": "The speed has stayed consistent at 50 miles per hour." - }, - { - "start": "23:33.00", - "stop": "23:36.52", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "23:36.52", - "stop": "23:44.92", - "speaker": "Tutor", - "dialogue": "And you said you know from A to B, the car traveled at a constant rate or a constant speed of 50 miles an hour because it has this line." - }, - { - "start": "23:44.92", - "stop": "23:55.36", - "speaker": "Tutor", - "dialogue": "And this linear representation on a graph shows that this thing that's changing and this thing that's changing are changing together at the same rate." - }, - { - "start": "23:55.36", - "stop": "23:56.36", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "23:56.36", - "stop": "23:57.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "23:57.36", - "stop": "24:01.72", - "speaker": "Tutor", - "dialogue": "And then you said, oh, wait, that means D to E. There's something more about D to E then." - }, - { - "start": "24:01.72", - "stop": "24:08.28", - "speaker": "Tutor", - "dialogue": "So I'm going to type what you say about D to E. Again, challenging you to use those purple power words." - }, - { - "start": "24:08.28", - "stop": "24:09.68", - "speaker": "Tutor", - "dialogue": "What's going on?" - }, - { - "start": "24:09.68", - "stop": "24:11.44", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "24:11.44", - "stop": "24:25.24", - "speaker": "Student", - "dialogue": "So the speed both increases and decreases as it covers..." - }, - { - "start": "24:25.24", - "stop": "24:39.64", - "speaker": "Student", - "dialogue": "I have to calculate the exact distance again." - }, - { - "start": "24:39.64", - "stop": "24:55.68", - "speaker": "Student", - "dialogue": "So as the car travels about another 40 miles, the speed varies." - }, - { - "start": "24:55.68", - "stop": "25:00.40", - "speaker": "Student", - "dialogue": "It increases and decreases through New York City." - }, - { - "start": "25:00.40", - "stop": "25:01.40", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "25:01.40", - "stop": "25:02.72", - "speaker": "Tutor", - "dialogue": "And what does the distance do?" - }, - { - "start": "25:02.72", - "stop": "25:08.56", - "speaker": "Tutor", - "dialogue": "Does the distance increase, decrease, or stay the same from D to E?" - }, - { - "start": "25:08.56", - "stop": "25:11.16", - "speaker": "Student", - "dialogue": "Distance increases." - }, - { - "start": "25:11.16", - "stop": "25:15.92", - "speaker": "Tutor", - "dialogue": "As the distance increases by 40 miles." - }, - { - "start": "25:15.92", - "stop": "25:16.92", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "25:16.92", - "stop": "25:17.92", - "speaker": "Tutor", - "dialogue": "And what about the time?" - }, - { - "start": "25:17.92", - "stop": "25:21.40", - "speaker": "Tutor", - "dialogue": "Is the time increasing, decreasing, or staying the same?" - }, - { - "start": "25:21.40", - "stop": "25:23.60", - "speaker": "Student", - "dialogue": "The time increases as well by..." - }, - { - "start": "25:23.60", - "stop": "25:24.60", - "speaker": "Student", - "dialogue": "Let's see." - }, - { - "start": "25:24.60", - "stop": "25:34.20", - "speaker": "Student", - "dialogue": "It goes from two hours and 30 to by an hour." - }, - { - "start": "25:34.20", - "stop": "25:36.56", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "25:36.56", - "stop": "25:42.60", - "speaker": "Tutor", - "dialogue": "So could we..." - }, - { - "start": "25:42.60", - "stop": "25:47.32", - "speaker": "Tutor", - "dialogue": "You said the speed increases and decreases, and that's what this line is showing." - }, - { - "start": "25:47.32", - "stop": "25:58.12", - "speaker": "Tutor", - "dialogue": "Would we be able to calculate the speed of the car from D to E?" - }, - { - "start": "25:58.12", - "stop": "26:00.96", - "speaker": "Student", - "dialogue": "I'm not sure we can." - }, - { - "start": "26:00.96", - "stop": "26:05.64", - "speaker": "Student", - "dialogue": "I mean, we can look at how much distance it covers." - }, - { - "start": "26:05.64", - "stop": "26:21.80", - "speaker": "Student", - "dialogue": "Actually, we can calculate it, but maybe not as one consistent speed, because you can calculate 30 miles in 40 minutes." - }, - { - "start": "26:21.80", - "stop": "26:27.36", - "speaker": "Student", - "dialogue": "I mean, wait, 30 miles in an hour." - }, - { - "start": "26:27.36", - "stop": "26:33.16", - "speaker": "Student", - "dialogue": "But since we do know that the speed changes, we can't get..." - }, - { - "start": "26:33.16", - "stop": "26:36.40", - "speaker": "Student", - "dialogue": "I can't say that the measurement we get is consistent." - }, - { - "start": "26:36.40", - "stop": "26:41.28", - "speaker": "Tutor", - "dialogue": "So would we be able to find the exact speed from D to E, or would it be the average speed?" - }, - { - "start": "26:41.28", - "stop": "26:42.28", - "speaker": "None", - "dialogue": "Average." - }, - { - "start": "26:42.28", - "stop": "26:43.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "26:43.28", - "stop": "26:47.08", - "speaker": "Tutor", - "dialogue": "Yeah, you can find the average speed, and then you also recognize..." - }, - { - "start": "26:47.08", - "stop": "26:52.36", - "speaker": "Tutor", - "dialogue": "But during that time, the car is increasing its speed and then decreasing its speed." - }, - { - "start": "26:52.36", - "stop": "26:56.20", - "speaker": "Tutor", - "dialogue": "And from A to B, the car is traveling at a consistent speed." - }, - { - "start": "26:56.20", - "stop": "26:59.72", - "speaker": "Tutor", - "dialogue": "So now I'm going to go back to my yellow circles." - }, - { - "start": "26:59.72", - "stop": "27:10.32", - "speaker": "Tutor", - "dialogue": "The outcome on the map, it's a curvy line from A to B, but on the graph, it's a straight line." - }, - { - "start": "27:10.32", - "stop": "27:24.36", - "speaker": "Student", - "dialogue": "Well, I believe that the curves could have..." - }, - { - "start": "27:24.36", - "stop": "27:40.40", - "speaker": "Student", - "dialogue": "There's a very well possibility that the curves weren't really much of a problem at all, and that they were able to just keep going at that 50 miles per hour." - }, - { - "start": "27:40.40", - "stop": "27:41.40", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "27:41.40", - "stop": "27:46.40", - "speaker": "Tutor", - "dialogue": "So the math is keeping track of the actual path of the road." - }, - { - "start": "27:46.40", - "stop": "27:51.36", - "speaker": "Tutor", - "dialogue": "There's the actual turns the car is making, but the car is traveling." - }, - { - "start": "27:51.36", - "stop": "27:56.64", - "speaker": "Tutor", - "dialogue": "It's like they set the cruise control, and it's traveling at a set 50 miles an hour." - }, - { - "start": "27:56.64", - "stop": "27:57.64", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "27:57.64", - "stop": "28:01.64", - "speaker": "Tutor", - "dialogue": "Is that possible in real life?" - }, - { - "start": "28:01.64", - "stop": "28:10.24", - "speaker": "Tutor", - "dialogue": "Can a car travel a consistent rate or a constant rate of 50 miles an hour on a curvy road?" - }, - { - "start": "28:10.24", - "stop": "28:11.24", - "speaker": "Student", - "dialogue": "I think so." - }, - { - "start": "28:11.24", - "stop": "28:12.24", - "speaker": "Student", - "dialogue": "I don't drive." - }, - { - "start": "28:12.24", - "stop": "28:13.24", - "speaker": "Tutor", - "dialogue": "Great connection." - }, - { - "start": "28:13.24", - "stop": "28:14.24", - "speaker": "Tutor", - "dialogue": "Like, I don't know." - }, - { - "start": "28:14.24", - "stop": "28:15.24", - "speaker": "Tutor", - "dialogue": "I haven't experienced it." - }, - { - "start": "28:15.24", - "stop": "28:18.78", - "speaker": "Tutor", - "dialogue": "Yeah, that's what cruise control is." - }, - { - "start": "28:18.78", - "stop": "28:23.56", - "speaker": "Tutor", - "dialogue": "You push a button on the car, or trains may do this, for example." - }, - { - "start": "28:23.56", - "stop": "28:29.64", - "speaker": "Tutor", - "dialogue": "The train track may not be a straight path, but they travel at a constant speed." - }, - { - "start": "28:29.64", - "stop": "28:30.64", - "speaker": "Tutor", - "dialogue": "That's possible." - }, - { - "start": "28:30.64", - "stop": "28:31.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "28:31.64", - "stop": "28:36.00", - "speaker": "Student", - "dialogue": "I mean, I believe it could do that at 50 miles per hour." - }, - { - "start": "28:36.00", - "stop": "28:37.00", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "28:37.00", - "stop": "28:47.72", - "speaker": "Tutor", - "dialogue": "And that's why here, even though it's a straight line, it's a relatively straight stretch of the road, the car still is traveling 50 miles an hour again." - }, - { - "start": "28:47.72", - "stop": "28:50.16", - "speaker": "Tutor", - "dialogue": "Or some constant speed." - }, - { - "start": "28:50.16", - "stop": "28:54.52", - "speaker": "Student", - "dialogue": "You know what else?" - }, - { - "start": "28:54.52", - "stop": "29:17.48", - "speaker": "Student", - "dialogue": "The constant speed changes in the city could also be for stoplights, because I assume from A to D and then E to F that it's just a whole bunch of highway, so there aren't really any stoplights or any reason to stop the car." - }, - { - "start": "29:17.48", - "stop": "29:18.48", - "speaker": "Tutor", - "dialogue": "Right." - }, - { - "start": "29:18.48", - "stop": "29:19.48", - "speaker": "Tutor", - "dialogue": "Right, yeah." - }, - { - "start": "29:19.48", - "stop": "29:20.80", - "speaker": "Tutor", - "dialogue": "There's a great connection there." - }, - { - "start": "29:20.80", - "stop": "29:24.12", - "speaker": "Tutor", - "dialogue": "So D to E, yeah, it is New York City." - }, - { - "start": "29:24.12", - "stop": "29:36.28", - "speaker": "Tutor", - "dialogue": "Is it New York City because of its curvy roads and lots of turns, or is it New York City because of the stops and goes and the speed of the car?" - }, - { - "start": "29:36.28", - "stop": "29:39.16", - "speaker": "Student", - "dialogue": "It's because of the stops and-" - }, - { - "start": "29:39.16", - "stop": "29:42.96", - "speaker": "Tutor", - "dialogue": "Yeah. According to what this graph is keeping track of anyways, right?" - }, - { - "start": "29:42.96", - "stop": "29:51.84", - "speaker": "Tutor", - "dialogue": "Because this graph is keeping track of the relationship of distance and time and how those things are changing together." - }, - { - "start": "29:51.84", - "stop": "29:58.44", - "speaker": "Tutor", - "dialogue": "So speed, if we look at this journey, did the car travel at the same speed the entire trip?" - }, - { - "start": "29:58.44", - "stop": "29:59.44", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "29:59.44", - "stop": "30:00.44", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "30:00.44", - "stop": "30:05.00", - "speaker": "Tutor", - "dialogue": "What can you say about how the speed changed throughout the trip?" - }, - { - "start": "30:05.00", - "stop": "30:14.40", - "speaker": "Student", - "dialogue": "The speed has changed in relation to the stops that were made." - }, - { - "start": "30:14.40", - "stop": "30:17.04", - "speaker": "Tutor", - "dialogue": "So from A to B, what's the speed?" - }, - { - "start": "30:17.04", - "stop": "30:20.08", - "speaker": "Tutor", - "dialogue": "What do you know about the speed of the car?" - }, - { - "start": "30:20.08", - "stop": "30:24.12", - "speaker": "Student", - "dialogue": "That it stayed consistent because there wasn't a reason to stop." - }, - { - "start": "30:24.12", - "stop": "30:27.44", - "speaker": "Tutor", - "dialogue": "And what do you know about the speed of the car from B to C?" - }, - { - "start": "30:27.44", - "stop": "30:30.24", - "speaker": "Student", - "dialogue": "That the car took a stop." - }, - { - "start": "30:30.24", - "stop": "30:33.60", - "speaker": "Tutor", - "dialogue": "And what do you know about the speed of the car from C to D?" - }, - { - "start": "30:33.60", - "stop": "30:41.68", - "speaker": "Student", - "dialogue": "That it went consistent again with the same speed as A to B and ultimately had to stop." - }, - { - "start": "30:41.68", - "stop": "30:44.96", - "speaker": "Tutor", - "dialogue": "And what do you know about the speed of the car from D to E?" - }, - { - "start": "30:44.96", - "stop": "30:52.00", - "speaker": "Student", - "dialogue": "That the speed couldn't stay consistent because there were a lot of stops." - }, - { - "start": "30:52.00", - "stop": "30:53.00", - "speaker": "Tutor", - "dialogue": "And E to F?" - }, - { - "start": "30:53.00", - "stop": "30:54.00", - "speaker": "Tutor", - "dialogue": "We haven't looked at that section yet." - }, - { - "start": "30:54.00", - "stop": "30:57.44", - "speaker": "Tutor", - "dialogue": "What do we know about the speed of the car there?" - }, - { - "start": "30:57.44", - "stop": "31:10.56", - "speaker": "Student", - "dialogue": "So E to F, it looks like it follows the same pattern as A to D, being that it's once again the freeway." - }, - { - "start": "31:10.56", - "stop": "31:14.68", - "speaker": "Student", - "dialogue": "So they're able to drive without problem." - }, - { - "start": "31:14.68", - "stop": "31:24.04", - "speaker": "Student", - "dialogue": "Because if you look at E to F, it also looks fairly consistent in speed, though there's not a lot of distance." - }, - { - "start": "31:24.04", - "stop": "31:30.16", - "speaker": "Tutor", - "dialogue": "So the shape of the graph on the inside can tell us if the speed is constant or if it's varying." - }, - { - "start": "31:30.16", - "stop": "31:37.80", - "speaker": "Tutor", - "dialogue": "And you're saying E to F because it again is this smooth line that demonstrates a constant rate." - }, - { - "start": "31:37.80", - "stop": "31:39.62", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "31:39.62", - "stop": "31:49.64", - "speaker": "Tutor", - "dialogue": "So anytime you're looking at graphs, one axis will always tell us one thing that's changing and we can describe how it's changing." - }, - { - "start": "31:49.64", - "stop": "31:53.08", - "speaker": "Tutor", - "dialogue": "If it's increasing, decreasing, or staying the same." - }, - { - "start": "31:53.08", - "stop": "31:59.88", - "speaker": "Tutor", - "dialogue": "The other thing that's changing in the situation will be labeled on the other axis." - }, - { - "start": "31:59.88", - "stop": "32:08.04", - "speaker": "Tutor", - "dialogue": "And what's in the middle is describing the relationship of how these two things are changing together." - }, - { - "start": "32:08.04", - "stop": "32:11.00", - "speaker": "Tutor", - "dialogue": "So we can see speed on this graph." - }, - { - "start": "32:11.00", - "stop": "32:12.00", - "speaker": "Tutor", - "dialogue": "It's the blue line." - }, - { - "start": "32:12.00", - "stop": "32:13.00", - "speaker": "None", - "dialogue": "Does that make sense?" - }, - { - "start": "32:13.00", - "stop": "32:14.00", - "speaker": "None", - "dialogue": "Yep." - }, - { - "start": "32:14.00", - "stop": "32:15.00", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "32:15.00", - "stop": "32:21.00", - "speaker": "Tutor", - "dialogue": "Now you're going to make a prediction and sketch another graph." - }, - { - "start": "32:21.00", - "stop": "32:24.00", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "32:24.00", - "stop": "32:29.00", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "32:29.00", - "stop": "32:57.00", - "speaker": "Student", - "dialogue": "So we'll use this angle for four hours." - }, - { - "start": "32:57.00", - "stop": "33:04.00", - "speaker": "Student", - "dialogue": "One, two." - }, - { - "start": "33:04.00", - "stop": "33:10.00", - "speaker": "None", - "dialogue": "Three, four." - }, - { - "start": "33:10.00", - "stop": "33:35.00", - "speaker": "Student", - "dialogue": "Five, six, seven, eight, nine, 10." - }, - { - "start": "33:35.00", - "stop": "34:01.00", - "speaker": "None", - "dialogue": "11, 12, 13, 14, 15." - }, - { - "start": "34:01.00", - "stop": "34:25.00", - "speaker": "None", - "dialogue": "16, 17, 18, 19, 20." - }, - { - "start": "34:25.00", - "stop": "34:53.00", - "speaker": "Student", - "dialogue": "21, 22, 23, 24." - }, - { - "start": "34:53.00", - "stop": "35:08.00", - "speaker": "Student", - "dialogue": "25, 26, 27, 28, 29, 30." - }, - { - "start": "35:08.00", - "stop": "35:33.00", - "speaker": "Student", - "dialogue": "31, 32, 33, 34, 35." - }, - { - "start": "35:33.00", - "stop": "35:58.00", - "speaker": "None", - "dialogue": "36, 37, 38, 39." - }, - { - "start": "35:58.00", - "stop": "36:23.00", - "speaker": "Tutor", - "dialogue": "40, 41, 42." - }, - { - "start": "36:23.00", - "stop": "36:25.00", - "speaker": "Tutor", - "dialogue": "What are those two dots?" - }, - { - "start": "36:25.00", - "stop": "36:29.00", - "speaker": "Student", - "dialogue": "They're the letters." - }, - { - "start": "36:29.00", - "stop": "36:30.00", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "36:30.00", - "stop": "36:32.00", - "speaker": "Tutor", - "dialogue": "So is that one dot A?" - }, - { - "start": "36:32.00", - "stop": "36:39.00", - "speaker": "Student", - "dialogue": "This one is dot A. After I plant the dots, I'm going to put the letters next to them." - }, - { - "start": "36:39.00", - "stop": "36:40.00", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "36:40.00", - "stop": "36:49.00", - "speaker": "Tutor", - "dialogue": "Before you do that, I want you to explain to me from A to B what's going on with the speed from A to B." - }, - { - "start": "36:49.00", - "stop": "36:51.00", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "36:51.00", - "stop": "37:00.00", - "speaker": "Student", - "dialogue": "So at A, the speed hasn't started moving at all." - }, - { - "start": "37:00.00", - "stop": "37:02.00", - "speaker": "Student", - "dialogue": "So it's just at zero." - }, - { - "start": "37:02.00", - "stop": "37:09.00", - "speaker": "Student", - "dialogue": "And then it starts to, as the time goes up, the speed does as well, reaching point B." - }, - { - "start": "37:09.00", - "stop": "37:15.00", - "speaker": "Student", - "dialogue": "So by the first hour, the car is at 50 miles per hour." - }, - { - "start": "37:15.00", - "stop": "37:22.00", - "speaker": "Tutor", - "dialogue": "Okay, so you said by the first hour, the car is traveling 50 miles per hour." - }, - { - "start": "37:22.00", - "stop": "37:31.00", - "speaker": "Tutor", - "dialogue": "Earlier, you said from A to B, the car travels, the speed stays constant at 50 miles per hour." - }, - { - "start": "37:31.00", - "stop": "37:37.00", - "speaker": "Tutor", - "dialogue": "So from A to B, is the speed increasing gradually up to 50 miles per hour?" - }, - { - "start": "37:37.00", - "stop": "37:45.00", - "speaker": "Tutor", - "dialogue": "Or is the speed of the car staying the same at 50 miles per hour that entire first hour of the trip?" - }, - { - "start": "37:45.00", - "stop": "37:46.00", - "speaker": "Student", - "dialogue": "You know what?" - }, - { - "start": "37:46.00", - "stop": "37:53.00", - "speaker": "Student", - "dialogue": "It's a lot more logical that it starts reaching 50 than just being at 50." - }, - { - "start": "37:53.00", - "stop": "37:58.00", - "speaker": "Tutor", - "dialogue": "In like logical meaning, like in real life, because a car can't instantly be traveling 50 miles an hour?" - }, - { - "start": "37:58.00", - "stop": "37:59.00", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "37:59.00", - "stop": "38:07.00", - "speaker": "Tutor", - "dialogue": "All right, so let's pretend the car was already driving whenever it hit Providence." - }, - { - "start": "38:07.00", - "stop": "38:10.00", - "speaker": "Tutor", - "dialogue": "So it was already traveling." - }, - { - "start": "38:10.00", - "stop": "38:13.00", - "speaker": "Tutor", - "dialogue": "It's coming up from here, 50 miles an hour." - }, - { - "start": "38:13.00", - "stop": "38:19.00", - "speaker": "Tutor", - "dialogue": "And then it was already traveling when it started in Providence." - }, - { - "start": "38:19.00", - "stop": "38:20.00", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "38:20.00", - "stop": "38:25.00", - "speaker": "Tutor", - "dialogue": "Then would it be logical?" - }, - { - "start": "38:25.00", - "stop": "38:36.00", - "speaker": "Student", - "dialogue": "Well, point A start, well, for one, actually, point A on this graph starts at zero hours." - }, - { - "start": "38:36.00", - "stop": "38:45.00", - "speaker": "Student", - "dialogue": "Meaning Providence would probably be the starting point still." - }, - { - "start": "38:45.00", - "stop": "38:57.00", - "speaker": "Student", - "dialogue": "It also says that it hasn't traveled any distance yet." - }, - { - "start": "38:57.00", - "stop": "39:22.00", - "speaker": "Student", - "dialogue": "Oh, wait, wait, never mind. One sec." - }, - { - "start": "39:22.00", - "stop": "39:50.00", - "speaker": "Student", - "dialogue": "I think that if they had started driving before Providence, they may not have been driving at 50 miles per hour already, because at that point they hadn't reached 50 yet, had they?" - }, - { - "start": "39:50.00", - "stop": "39:57.00", - "speaker": "Tutor", - "dialogue": "They hadn't reached the distance of 50." - }, - { - "start": "39:57.00", - "stop": "40:13.00", - "speaker": "Tutor", - "dialogue": "But the car was, whenever you were looking at these lines earlier, you said, if it's a smooth line like this, that means the speed is constant, because the rate of change is constant in that section." - }, - { - "start": "40:13.00", - "stop": "40:20.00", - "speaker": "Tutor", - "dialogue": "So that means five minutes into the trip, the car is going 50 miles an hour, because they set the cruise control." - }, - { - "start": "40:20.00", - "stop": "40:25.00", - "speaker": "Tutor", - "dialogue": "30 minutes into the trip, the car is going 50 miles an hour." - }, - { - "start": "40:25.00", - "stop": "40:37.00", - "speaker": "Tutor", - "dialogue": "It hasn't traveled 50 miles yet, but the speed of the car remains constant." - }, - { - "start": "40:37.00", - "stop": "40:40.00", - "speaker": "Tutor", - "dialogue": "Is that kind of hard to make sense of?" - }, - { - "start": "40:40.00", - "stop": "40:43.00", - "speaker": "Student", - "dialogue": "I'm trying to make sense of it." - }, - { - "start": "40:43.00", - "stop": "40:48.00", - "speaker": "Tutor", - "dialogue": "Yeah, your brain is seeing that this starts right here, right?" - }, - { - "start": "40:48.00", - "stop": "40:52.00", - "speaker": "Tutor", - "dialogue": "So something is zero." - }, - { - "start": "40:52.00", - "stop": "40:58.00", - "speaker": "Tutor", - "dialogue": "The time of the trip is zero, and the distance traveled is zero." - }, - { - "start": "40:58.00", - "stop": "41:02.00", - "speaker": "Tutor", - "dialogue": "But is speed zero?" - }, - { - "start": "41:02.00", - "stop": "41:17.00", - "speaker": "Student", - "dialogue": "I mean, the speed, it could either be 50 or zero, because they very well could have traveled 50 miles before getting to Providence." - }, - { - "start": "41:17.00", - "stop": "41:22.00", - "speaker": "Tutor", - "dialogue": "Let's take this point." - }, - { - "start": "41:22.00", - "stop": "41:32.00", - "speaker": "Tutor", - "dialogue": "How fast is the car going 30 minutes into the trip?" - }, - { - "start": "41:32.00", - "stop": "41:37.00", - "speaker": "Student", - "dialogue": "30 minutes, and they're going 25 miles per hour." - }, - { - "start": "41:37.00", - "stop": "41:40.00", - "speaker": "Tutor", - "dialogue": "How did you get that?" - }, - { - "start": "41:40.00", - "stop": "41:54.00", - "speaker": "Student", - "dialogue": "Well, 30 would be right along here, and where the line hits 30 is right in between zero and 50, which is 25." - }, - { - "start": "41:54.00", - "stop": "42:01.00", - "speaker": "Tutor", - "dialogue": "So they traveled 25 miles in 30 minutes?" - }, - { - "start": "42:01.00", - "stop": "42:06.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "42:06.00", - "stop": "42:13.00", - "speaker": "Tutor", - "dialogue": "And speed is in units of miles per hour." - }, - { - "start": "42:13.00", - "stop": "42:26.00", - "speaker": "Tutor", - "dialogue": "So that means I want to know, if I continue at this same rate, how far will I have traveled in one hour?" - }, - { - "start": "42:26.00", - "stop": "42:32.00", - "speaker": "Student", - "dialogue": "Well, for that, you just multiply them both by two, which is still 50 per hour." - }, - { - "start": "42:32.00", - "stop": "42:52.00", - "speaker": "Tutor", - "dialogue": "Ah, so even at this point, which is 30 minutes into the trip, I've only traveled 25 miles, but my speed is still 50 miles per hour." - }, - { - "start": "42:52.00", - "stop": "43:04.00", - "speaker": "Tutor", - "dialogue": "So this line here, because it is this straight line, that is demonstrating exactly what you said earlier. The speed stays consistent at 50 miles an hour." - }, - { - "start": "43:04.00", - "stop": "43:10.00", - "speaker": "Tutor", - "dialogue": "And that's five minutes into the trip, 30 minutes into the trip, 45 minutes into the trip." - }, - { - "start": "43:10.00", - "stop": "43:16.00", - "speaker": "Tutor", - "dialogue": "This entire section from A to B, the car is traveling 50 miles per hour." - }, - { - "start": "43:16.00", - "stop": "43:20.00", - "speaker": "Tutor", - "dialogue": "How could you show that on your graph?" - }, - { - "start": "43:20.00", - "stop": "43:31.00", - "speaker": "Student", - "dialogue": "Well, I can relocate point A to right here, so that it's still on zero in time, but it's at 50 miles per hour." - }, - { - "start": "43:31.00", - "stop": "43:35.00", - "speaker": "Tutor", - "dialogue": "Okay. Are we allowed to do that? Are we allowed to change our minds and edit in math?" - }, - { - "start": "43:35.00", - "stop": "43:36.00", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "43:36.00", - "stop": "43:49.00", - "speaker": "Tutor", - "dialogue": "Yeah. That's what problem solving is. It's beautiful." - }, - { - "start": "43:49.00", - "stop": "43:53.00", - "speaker": "Student", - "dialogue": "Okay. So it's A, there's B." - }, - { - "start": "43:53.00", - "stop": "44:05.00", - "speaker": "Student", - "dialogue": "Then from B to C, the speed goes to zero, but the distance, right?" - }, - { - "start": "44:05.00", - "stop": "44:20.00", - "speaker": "Student", - "dialogue": "The time goes by three minutes." - }, - { - "start": "44:20.00", - "stop": "44:37.00", - "speaker": "Student", - "dialogue": "I think I'm moving a little too high." - }, - { - "start": "44:37.00", - "stop": "44:55.00", - "speaker": "Student", - "dialogue": "I'm going to change this one." - }, - { - "start": "44:55.00", - "stop": "45:07.00", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "45:07.00", - "stop": "45:09.00", - "speaker": "Tutor", - "dialogue": "So I want you to stop for a second." - }, - { - "start": "45:09.00", - "stop": "45:18.00", - "speaker": "Tutor", - "dialogue": "I heard you saying this is point A, this is point B." - }, - { - "start": "45:18.00", - "stop": "45:23.00", - "speaker": "Tutor", - "dialogue": "Where is the line from A to B?" - }, - { - "start": "45:23.00", - "stop": "45:26.00", - "speaker": "Tutor", - "dialogue": "Or is there one?" - }, - { - "start": "45:26.00", - "stop": "45:29.00", - "speaker": "Student", - "dialogue": "I mean, it would be going straight up." - }, - { - "start": "45:29.00", - "stop": "45:33.00", - "speaker": "Tutor", - "dialogue": "Yeah. Does that feel weird to draw it like that?" - }, - { - "start": "45:33.00", - "stop": "45:34.00", - "speaker": "Student", - "dialogue": "No, not really." - }, - { - "start": "45:34.00", - "stop": "45:44.00", - "speaker": "Tutor", - "dialogue": "Okay, cool. Draw." - }, - { - "start": "45:44.00", - "stop": "45:49.00", - "speaker": "Tutor", - "dialogue": "Okay. Where would B to C?" - }, - { - "start": "45:49.00", - "stop": "45:51.00", - "speaker": "Tutor", - "dialogue": "Where's that line?" - }, - { - "start": "45:51.00", - "stop": "46:10.00", - "speaker": "Student", - "dialogue": "It goes." - }, - { - "start": "46:10.00", - "stop": "46:14.00", - "speaker": "Tutor", - "dialogue": "So is this B or is this C or is this another point?" - }, - { - "start": "46:14.00", - "stop": "46:15.00", - "speaker": "Student", - "dialogue": "It's a C." - }, - { - "start": "46:15.00", - "stop": "46:18.00", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "46:18.00", - "stop": "46:25.00", - "speaker": "Tutor", - "dialogue": "So B to C, earlier you told me the car was stopped." - }, - { - "start": "46:25.00", - "stop": "46:29.00", - "speaker": "Tutor", - "dialogue": "If the car was stopped, how fast is the car going?" - }, - { - "start": "46:29.00", - "stop": "46:31.00", - "speaker": "Student", - "dialogue": "Zero miles per hour." - }, - { - "start": "46:31.00", - "stop": "46:39.00", - "speaker": "Tutor", - "dialogue": "Is it going zero miles per hour just at B, just at C, or this whole time from B to C?" - }, - { - "start": "46:39.00", - "stop": "46:41.00", - "speaker": "Student", - "dialogue": "The whole time." - }, - { - "start": "46:41.00", - "stop": "46:51.00", - "speaker": "Tutor", - "dialogue": "So that means even like an hour and 15 minutes, it's still zero miles per hour?" - }, - { - "start": "46:51.00", - "stop": "46:52.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "46:52.00", - "stop": "46:54.00", - "speaker": "Tutor", - "dialogue": "Okay. Right here?" - }, - { - "start": "46:54.00", - "stop": "46:58.00", - "speaker": "Tutor", - "dialogue": "At an hour and 15 minutes?" - }, - { - "start": "46:58.00", - "stop": "47:06.00", - "speaker": "Tutor", - "dialogue": "You told me the car is going 30-ish miles an hour." - }, - { - "start": "47:06.00", - "stop": "47:12.00", - "speaker": "Student", - "dialogue": "Oh, I'm confusing myself." - }, - { - "start": "47:12.00", - "stop": "47:16.00", - "speaker": "Tutor", - "dialogue": "It's so cool. Your brain is literally growing right now." - }, - { - "start": "47:16.00", - "stop": "47:19.00", - "speaker": "Tutor", - "dialogue": "That, wait, I'm confused. Huh? What?" - }, - { - "start": "47:19.00", - "stop": "47:25.00", - "speaker": "Tutor", - "dialogue": "That's literally your brain making the connections between all of these different things that are changing in this situation." - }, - { - "start": "47:25.00", - "stop": "47:27.00", - "speaker": "Tutor", - "dialogue": "It's so cool." - }, - { - "start": "47:27.00", - "stop": "47:53.00", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "47:53.00", - "stop": "48:01.00", - "speaker": "Student", - "dialogue": "So maybe rather than stop, they're just like coming to a stop?" - }, - { - "start": "48:01.00", - "stop": "48:06.00", - "speaker": "Student", - "dialogue": "So that they're moving slower." - }, - { - "start": "48:06.00", - "stop": "48:12.00", - "speaker": "Tutor", - "dialogue": "As much as I would, you're in such a cool spot right now, but unfortunately we are out of time." - }, - { - "start": "48:12.00", - "stop": "48:13.00", - "speaker": "Student", - "dialogue": "Wow." - }, - { - "start": "48:13.00", - "stop": "48:16.00", - "speaker": "Tutor", - "dialogue": "So we're going to stop right there." - }, - { - "start": "48:16.00", - "stop": "48:22.00", - "speaker": "Tutor", - "dialogue": "And if we were able to work on this tomorrow, this is exactly where we would pick up. So cool." - }, - { - "start": "48:22.00", - "stop": "48:28.00", - "speaker": "Tutor", - "dialogue": "Okay. So you know you are helping us test this platform and what it's like to learn in this way." - }, - { - "start": "48:28.00", - "stop": "48:31.00", - "speaker": "Tutor", - "dialogue": "So I would love to just hear a little bit about your experience." - }, - { - "start": "48:31.00", - "stop": "48:36.00", - "speaker": "Tutor", - "dialogue": "What do you feel like you learned or are thinking differently about now?" - }, - { - "start": "48:36.00", - "stop": "48:53.00", - "speaker": "Student", - "dialogue": "I actually really like it because it stimulated my brain a bit. It really made me think. It made me put logic into this whole example." - }, - { - "start": "48:53.00", - "stop": "49:03.00", - "speaker": "Student", - "dialogue": "And I found myself constantly changing how I was thinking about certain aspects." - }, - { - "start": "49:03.00", - "stop": "49:09.00", - "speaker": "Tutor", - "dialogue": "And that process of constantly changing how you're thinking, that's literally learning." - }, - { - "start": "49:09.00", - "stop": "49:13.00", - "speaker": "Tutor", - "dialogue": "So cool. You were in that really deep state of learning." - }, - { - "start": "49:13.00", - "stop": "49:26.00", - "speaker": "Tutor", - "dialogue": "What do you think that you were thinking about differently?" - }, - { - "start": "49:26.00", - "stop": "49:44.00", - "speaker": "Student", - "dialogue": "As to how I was thinking differently, I was putting myself into somewhat different perspectives as I was trying to figure out how the speed worked." - }, - { - "start": "49:44.00", - "stop": "49:54.00", - "speaker": "Student", - "dialogue": "Like if I were in that car, how would I be moving throughout this trail?" - }, - { - "start": "49:54.00", - "stop": "49:56.00", - "speaker": "Tutor", - "dialogue": "Right. Yeah. So cool." - }, - { - "start": "49:56.00", - "stop": "50:07.00", - "speaker": "Tutor", - "dialogue": "So in any graph that you see, whether it's one you're reading or it's one you are creating, challenge yourself to think with these purple power words." - }, - { - "start": "50:07.00", - "stop": "50:12.00", - "speaker": "Tutor", - "dialogue": "What's the thing that's changing? How is it changing?" - }, - { - "start": "50:12.00", - "stop": "50:17.00", - "speaker": "Tutor", - "dialogue": "And then what's this thing that's changing? How is it changing?" - }, - { - "start": "50:17.00", - "stop": "50:25.00", - "speaker": "Tutor", - "dialogue": "And then how can I show or make sense of how those two things are changing in relationship to each other?" - }, - { - "start": "50:25.00", - "stop": "50:27.00", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "50:27.00", - "stop": "50:28.00", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "50:28.00", - "stop": "50:38.00", - "speaker": "Tutor", - "dialogue": "All right. Cool. Is there anything that you think was helpful that we should keep doing or something that wasn't as helpful that maybe we should change to make it better?" - }, - { - "start": "50:38.00", - "stop": "51:02.00", - "speaker": "Student", - "dialogue": "Something I think was really helpful was the patience and the time to let the tutory, I don't know how to call it, the person who's learning, to help them get a better understanding to try to sit there and take a second to see if they can figure it out on their own before they get the help." - }, - { - "start": "51:02.00", - "stop": "51:05.00", - "speaker": "Tutor", - "dialogue": "Beautiful. Yeah. Mucking around is so much fun." - }, - { - "start": "51:05.00", - "stop": "51:10.00", - "speaker": "Tutor", - "dialogue": "You did a really good job of being patient with yourself too and allowing yourself the time to think deeply." - }, - { - "start": "51:10.00", - "stop": "51:13.00", - "speaker": "Tutor", - "dialogue": "You're a very powerful mathematical thinker." - }, - { - "start": "51:13.00", - "stop": "51:19.00", - "speaker": "Tutor", - "dialogue": "Always allow yourself that time to make sense and wonder and try to make those connections. Okay?" - }, - { - "start": "51:19.00", - "stop": "51:20.00", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "51:20.00", - "stop": "51:23.00", - "speaker": "Tutor", - "dialogue": "All right. Thank you so much for joining." - }, - { - "start": "51:23.00", - "stop": "51:24.00", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "51:24.00", - "stop": "51:25.00", - "speaker": "Tutor", - "dialogue": "All right. Have a good night." - }, - { - "start": "51:25.00", - "stop": "51:38.00", - "speaker": "Student", - "dialogue": "All right. You too." - } -] \ No newline at end of file diff --git a/data/amber/4246.json b/data/amber/4246.json deleted file mode 100644 index 89b70a4..0000000 --- a/data/amber/4246.json +++ /dev/null @@ -1,1604 +0,0 @@ -[ - { - "start": "00:01.64", - "stop": "00:09.16", - "speaker": "Tutor", - "dialogue": "Okay, do you see the tools on the left hand side of your screen, So we're going to practice using some of them." - }, - { - "start": "00:11.80", - "stop": "00:12.72", - "speaker": "Tutor", - "dialogue": "The third one down." - }, - { - "start": "00:12.76", - "stop": "00:13.48", - "speaker": "Tutor", - "dialogue": "That's a pencil." - }, - { - "start": "00:13.88", - "stop": "00:22.88", - "speaker": "Tutor", - "dialogue": "If you click up above, you'll see a color and size box that pops up if you want to change the color or size of anything that you are drawing." - }, - { - "start": "00:23.72", - "stop": "00:23.76", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "00:23.92", - "stop": "00:26.24", - "speaker": "Tutor", - "dialogue": "Then there is a square with a t in it." - }, - { - "start": "00:27.00", - "stop": "00:31.72", - "speaker": "Tutor", - "dialogue": "That's if you would rather insert a textbox and type instead of draw." - }, - { - "start": "00:32.88", - "stop": "00:37.24", - "speaker": "Tutor", - "dialogue": "And then we're going to practice erasing this bottom tool." - }, - { - "start": "00:37.64", - "stop": "00:53.16", - "speaker": "Tutor", - "dialogue": "The trash can don't touch it, cause it will erase everything, And then we can't get your work back, but let's practice drawing something and then I'll show you how to erase it, so you can choose to either type or draw something." - }, - { - "start": "01:08.68", - "stop": "01:11.32", - "speaker": "Tutor", - "dialogue": "and when you click there you go, then perfect." - }, - { - "start": "01:11.84", - "stop": "01:16.72", - "speaker": "Tutor", - "dialogue": "Then if you want to erase what you drew, the top arrow is your select tool." - }, - { - "start": "01:17.20", - "stop": "01:27.04", - "speaker": "Tutor", - "dialogue": "so you select what it is that you want to erase, and then once it's selected, you hit the arrow or the this button down here." - }, - { - "start": "01:27.08", - "stop": "01:31.64", - "speaker": "Tutor", - "dialogue": "That's an arrow with an x in it and that will erase just that thing that's selected." - }, - { - "start": "01:33.08", - "stop": "01:34.88", - "speaker": "Tutor", - "dialogue": "so try to erase your hello." - }, - { - "start": "01:51.80", - "stop": "02:00.04", - "speaker": "Tutor", - "dialogue": "Okay, so are you able to use the top arrow to select it and see like those boxes around it that allows you to move?" - }, - { - "start": "02:00.12", - "stop": "02:02.92", - "speaker": "Student", - "dialogue": "Itct." - }, - { - "start": "02:03.16", - "stop": "02:10.36", - "speaker": "Tutor", - "dialogue": "So once it's selected like that, then there is a button down here that has an arrow with an x in the middle of it." - }, - { - "start": "02:11.56", - "stop": "02:15.00", - "speaker": "Tutor", - "dialogue": "If you click that there you go." - }, - { - "start": "02:16.08", - "stop": "02:16.92", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "02:18.80", - "stop": "02:19.12", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "02:20.24", - "stop": "02:29.00", - "speaker": "Tutor", - "dialogue": "The other thing, you can minimize your chat box and make your screen bigger, Because we won't be using the chat." - }, - { - "start": "02:29.12", - "stop": "02:31.08", - "speaker": "Tutor", - "dialogue": "We'll just be talking back and forth like this." - }, - { - "start": "02:33.92", - "stop": "02:36.00", - "speaker": "Tutor", - "dialogue": "I will ask you lots of questions." - }, - { - "start": "02:37.92", - "stop": "02:43.00", - "speaker": "Tutor", - "dialogue": "Just because I ask you something doesn't mean that it's wrong or that I'm looking for a specific answer." - }, - { - "start": "02:43.32", - "stop": "02:53.68", - "speaker": "Tutor", - "dialogue": "I just want to know more about how you are thinking and then it's hard for me to see your, since I can't see your face" - }, - { - "start": "02:54.44", - "stop": "02:58.08", - "speaker": "Tutor", - "dialogue": "if I ask you a question, And you want some more time to think." - }, - { - "start": "02:58.80", - "stop": "03:03.68", - "speaker": "Tutor", - "dialogue": "Just tell me that so that I don't interrupt your thinking, so, um, I'm not sure." - }, - { - "start": "03:03.84", - "stop": "03:09.68", - "speaker": "Tutor", - "dialogue": "Give me some time to think and then I will stop asking questions so that you can think deeply." - }, - { - "start": "03:09.80", - "stop": "03:14.00", - "speaker": "Tutor", - "dialogue": "Okay, all right, Do you have any questions before we start?" - }, - { - "start": "03:18.60", - "stop": "03:19.68", - "speaker": "Tutor", - "dialogue": "I'm sorry, I can't hear you." - }, - { - "start": "03:19.88", - "stop": "03:21.56", - "speaker": "Tutor", - "dialogue": "Do you have any questions before we start?" - }, - { - "start": "03:24.48", - "stop": "03:27.88", - "speaker": "Tutor", - "dialogue": "Okay, I'm going to change the screen." - }, - { - "start": "03:29.48", - "stop": "03:35.68", - "speaker": "Tutor", - "dialogue": "Do you see something different nowake?" - }, - { - "start": "03:35.72", - "stop": "03:35.76", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "03:35.84", - "stop": "04:21.76", - "speaker": "Tutor", - "dialogue": "Minu to read it and thenen situationkath." - }, - { - "start": "04:21.92", - "stop": "04:21.96", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "04:22.04", - "stop": "04:23.92", - "speaker": "Tutor", - "dialogue": "Do you think is happening in this situation?" - }, - { - "start": "04:32.84", - "stop": "04:39.84", - "speaker": "Student", - "dialogue": "A Crd journey craft in Providence to Ne." - }, - { - "start": "04:39.92", - "stop": "04:54.88", - "speaker": "Student", - "dialogue": "York City, It looks like the a little huddle in between them, like the New York." - }, - { - "start": "04:59.96", - "stop": "05:07.80", - "speaker": "Tutor", - "dialogue": "So there's a car that's going to start driving in Providence, that'll drive down that road and then that puddle that you see there by New York City." - }, - { - "start": "05:08.52", - "stop": "05:09.12", - "speaker": "Tutor", - "dialogue": "That's just like." - }, - { - "start": "05:09.92", - "stop": "05:10.56", - "speaker": "Student", - "dialogue": "Representing." - }, - { - "start": "05:10.68", - "stop": "05:14.64", - "speaker": "Tutor", - "dialogue": "All of New York City, and then they'll keep driving." - }, - { - "start": "05:14.72", - "stop": "05:15.76", - "speaker": "Tutor", - "dialogue": "And where do they end up?" - }, - { - "start": "05:20.84", - "stop": "05:21.80", - "speaker": "Tutor", - "dialogue": "Where do they start" - }, - { - "start": "05:21.88", - "stop": "05:22.48", - "speaker": "Tutor", - "dialogue": "And where do they?" - }, - { - "start": "05:22.68", - "stop": "05:39.96", - "speaker": "Student", - "dialogue": "Ending." - }, - { - "start": "05:40.04", - "stop": "05:42.00", - "speaker": "Tutor", - "dialogue": "Place or they end up in the trip?" - }, - { - "start": "06:00.44", - "stop": "06:03.88", - "speaker": "Tutor", - "dialogue": "Yeah, Providence is where they start, and then Newark is where they end." - }, - { - "start": "06:05.52", - "stop": "06:05.80", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "06:06.60", - "stop": "06:09.76", - "speaker": "Tutor", - "dialogue": "What are some things that we could measure in this situation?" - }, - { - "start": "06:17.16", - "stop": "06:20.36", - "speaker": "Tutor", - "dialogue": "If we units would we use?" - }, - { - "start": "06:38.16", - "stop": "06:44.04", - "speaker": "Tutor", - "dialogue": "So if we wereing to measure the distance between something and this trip, how could I measure that?" - }, - { - "start": "06:44.40", - "stop": "06:45.40", - "speaker": "Tutor", - "dialogue": "What might I use?" - }, - { - "start": "06:56.28", - "stop": "06:56.92", - "speaker": "Tutor", - "dialogue": "What was Adam?" - }, - { - "start": "06:56.96", - "stop": "06:57.72", - "speaker": "Tutor", - "dialogue": "Sorry, I can't hear you." - }, - { - "start": "07:00.20", - "stop": "07:00.64", - "speaker": "Tutor", - "dialogue": "The chart." - }, - { - "start": "07:02.16", - "stop": "07:03.12", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "07:03.56", - "stop": "07:06.84", - "speaker": "Tutor", - "dialogue": "What are some other things that we could measure in this situation?" - }, - { - "start": "07:28.60", - "stop": "07:28.88", - "speaker": "Tutor", - "dialogue": "The what?" - }, - { - "start": "07:31.64", - "stop": "07:31.88", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "07:32.08", - "stop": "07:36.68", - "speaker": "Tutor", - "dialogue": "So we could use a line graph somehow to keep track of something cool." - }, - { - "start": "07:37.32", - "stop": "07:44.52", - "speaker": "Tutor", - "dialogue": "All right, I am going to uncover something and you tell me how it's similar or different to what you were thinking about." - }, - { - "start": "08:03.08", - "stop": "08:23.28", - "speaker": "Tutor", - "dialogue": "Is this similar or different to things you were thinking about measuring which one similar or different." - }, - { - "start": "08:25.32", - "stop": "08:26.28", - "speaker": "Tutor", - "dialogue": "What was similar?" - }, - { - "start": "08:32.52", - "stop": "08:35.88", - "speaker": "Tutor", - "dialogue": "Ah, yeah, so you were thinking about the distance that we could measure." - }, - { - "start": "08:39.12", - "stop": "08:39.96", - "speaker": "Tutor", - "dialogue": "This also has." - }, - { - "start": "08:40.28", - "stop": "08:56.60", - "speaker": "Tutor", - "dialogue": "I'm sorry, Go ahead, okay, so we can also keep track of the time and we would use ours to measure the timek." - }, - { - "start": "08:58.52", - "stop": "08:58.64", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "08:58.72", - "stop": "09:05.92", - "speaker": "Tutor", - "dialogue": "You look at the map and the graph describe what's happening during each stage of the journey." - }, - { - "start": "09:12.48", - "stop": "09:32.32", - "speaker": "Tutor", - "dialogue": "A. are you using headphones or a tablet or just a computer?" - }, - { - "start": "09:34.44", - "stop": "09:35.00", - "speaker": "Tutor", - "dialogue": "A computer?" - }, - { - "start": "09:35.48", - "stop": "09:44.36", - "speaker": "Tutor", - "dialogue": "Do you know where your Mike is on the computer because I can barely hear you." - }, - { - "start": "09:44.64", - "stop": "09:56.04", - "speaker": "Tutor", - "dialogue": "So if you're able to scoop closer or talk closer to the mike, Okay, all right, So you said" - }, - { - "start": "09:56.32", - "stop": "10:18.36", - "speaker": "Tutor", - "dialogue": "What's going on in the journey from A to Okay?" - }, - { - "start": "10:18.48", - "stop": "10:51.72", - "speaker": "Tutor", - "dialogue": "So from A to F, something is going up happening from A to B. Any ideas?" - }, - { - "start": "11:10.44", - "stop": "11:10.72", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "11:11.08", - "stop": "11:14.48", - "speaker": "Tutor", - "dialogue": "So from A to B, the miles are going up." - }, - { - "start": "11:17.12", - "stop": "11:34.44", - "speaker": "Tutor", - "dialogue": "What is happening with the time from A to B. Cool." - }, - { - "start": "11:34.96", - "stop": "11:35.68", - "speaker": "Tutor", - "dialogue": "I'm gonna type" - }, - { - "start": "11:35.76", - "stop": "11:41.00", - "speaker": "Tutor", - "dialogue": "some words up here for you and hang on one second." - }, - { - "start": "11:49.32", - "stop": "12:01.20", - "speaker": "Tutor", - "dialogue": "All right and I challenge you to use these purple words to describe what's happening with these things that are changing in this situation." - }, - { - "start": "12:01.68", - "stop": "12:08.08", - "speaker": "Tutor", - "dialogue": "So we have distance that is changing somehow, and we have time that is changing somehow." - }, - { - "start": "12:09.24", - "stop": "12:14.28", - "speaker": "Tutor", - "dialogue": "So from A to B, What is happening with distance and time?" - }, - { - "start": "12:15.40", - "stop": "12:18.04", - "speaker": "Tutor", - "dialogue": "challenging yourself to use these purple words?" - }, - { - "start": "12:32.04", - "stop": "12:40.88", - "speaker": "Tutor", - "dialogue": "Yeah, be even cool." - }, - { - "start": "12:41.00", - "stop": "12:42.12", - "speaker": "Tutor", - "dialogue": "Be even more specific." - }, - { - "start": "12:42.40", - "stop": "12:43.60", - "speaker": "Tutor", - "dialogue": "What is increasing?" - }, - { - "start": "12:56.44", - "stop": "12:56.76", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "12:57.40", - "stop": "12:57.68", - "speaker": "Tutor", - "dialogue": "is it" - }, - { - "start": "12:58.64", - "stop": "13:01.40", - "speaker": "Tutor", - "dialogue": "what is happening with distance from A to B?" - }, - { - "start": "13:21.20", - "stop": "13:21.52", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "13:21.92", - "stop": "13:25.64", - "speaker": "Tutor", - "dialogue": "So is distance increasing decreasing or staying the same?" - }, - { - "start": "13:32.32", - "stop": "13:32.44", - "speaker": "Tutor", - "dialogue": "Ok?" - }, - { - "start": "13:32.64", - "stop": "13:37.96", - "speaker": "Tutor", - "dialogue": "And even more specifically, you said it's increasing by fifty miles." - }, - { - "start": "13:39.76", - "stop": "13:40.04", - "speaker": "Tutor", - "dialogue": "Oay." - }, - { - "start": "13:41.24", - "stop": "13:47.00", - "speaker": "Tutor", - "dialogue": "I typed what I think you said Red It and see if you want me to change anything." - }, - { - "start": "13:55.56", - "stop": "14:02.48", - "speaker": "Tutor", - "dialogue": "Okay, where do you think points A and B would be located on the map?" - }, - { - "start": "14:18.56", - "stop": "14:25.28", - "speaker": "Tutor", - "dialogue": "And you can use your drawing tools or your typing tools to label where you think point" - }, - { - "start": "14:25.44", - "stop": "14:30.68", - "speaker": "Tutor", - "dialogue": "A should be and where point B should be located on the map." - }, - { - "start": "15:09.72", - "stop": "15:15.52", - "speaker": "Tutor", - "dialogue": "Yeah, if we look up here, the map shows a car journey from Providence, so that means Providence is where we're starting." - }, - { - "start": "15:48.44", - "stop": "15:48.76", - "speaker": "Tutor", - "dialogue": "Nice" - }, - { - "start": "15:50.08", - "stop": "15:53.80", - "speaker": "Tutor", - "dialogue": "And actually, I'm going to make this a little bit bigger." - }, - { - "start": "15:55.84", - "stop": "15:59.88", - "speaker": "Tutor", - "dialogue": "Actually, use a dot and put a dot where you think point" - }, - { - "start": "16:00.00", - "stop": "16:19.76", - "speaker": "Tutor", - "dialogue": "A would be and point B. You can either draw your own dot or you can use mine and pull it over on your end." - }, - { - "start": "16:20.40", - "stop": "16:26.48", - "speaker": "Tutor", - "dialogue": "Did you draw your dots on the map, like on the road or your?" - }, - { - "start": "16:30.96", - "stop": "16:31.44", - "speaker": "Tutor", - "dialogue": "What was that?" - }, - { - "start": "16:34.24", - "stop": "16:37.44", - "speaker": "Tutor", - "dialogue": "Yeah, Where do you think it would be located on the road?" - }, - { - "start": "17:08.80", - "stop": "17:10.20", - "speaker": "Tutor", - "dialogue": "How did you decide to put B?" - }, - { - "start": "17:10.96", - "stop": "17:11.72", - "speaker": "Tutor", - "dialogue": "Where you put it?" - }, - { - "start": "17:32.32", - "stop": "17:33.80", - "speaker": "Tutor", - "dialogue": "Okay, What were you thinking about" - }, - { - "start": "17:33.88", - "stop": "17:35.60", - "speaker": "Tutor", - "dialogue": "To calculate where you thought it would go?" - }, - { - "start": "17:45.24", - "stop": "17:45.44", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "17:45.52", - "stop": "17:50.56", - "speaker": "Tutor", - "dialogue": "So you were trying to estimate about where fifty miles would be Okay." - }, - { - "start": "17:51.12", - "stop": "17:52.48", - "speaker": "Tutor", - "dialogue": "Cool, Keep going." - }, - { - "start": "17:52.68", - "stop": "18:08.40", - "speaker": "Tutor", - "dialogue": "Where do you think Point C would be locateds?" - }, - { - "start": "18:08.60", - "stop": "18:14.80", - "speaker": "Student", - "dialogue": "One and two hours next." - }, - { - "start": "18:29.32", - "stop": "18:31.20", - "speaker": "Tutor", - "dialogue": "Good job of explaining what you're thinking." - }, - { - "start": "18:31.44", - "stop": "18:32.44", - "speaker": "Tutor", - "dialogue": "Yeah, now over here." - }, - { - "start": "18:32.60", - "stop": "18:36.36", - "speaker": "Tutor", - "dialogue": "come over and put where do you think Point C would be and then locate it." - }, - { - "start": "18:37.52", - "stop": "18:37.88", - "speaker": "Tutor", - "dialogue": "I'm sorry." - }, - { - "start": "18:38.00", - "stop": "19:22.12", - "speaker": "Tutor", - "dialogue": "then label it now." - }, - { - "start": "19:22.28", - "stop": "19:26.32", - "speaker": "Tutor", - "dialogue": "same thing like we did for A to B In a complete sentence." - }, - { - "start": "19:26.72", - "stop": "19:27.04", - "speaker": "Tutor", - "dialogue": "Explain" - }, - { - "start": "19:27.16", - "stop": "19:32.12", - "speaker": "Tutor", - "dialogue": "what's going on from B to C using these purple power words." - }, - { - "start": "19:39.12", - "stop": "19:40.12", - "speaker": "Tutor", - "dialogue": "What increased?" - }, - { - "start": "19:48.64", - "stop": "19:50.64", - "speaker": "Tutor", - "dialogue": "Okay, what happened with the distance?" - }, - { - "start": "19:59.84", - "stop": "20:07.48", - "speaker": "Tutor", - "dialogue": "So if the distance stayed the same and the time increased, what's happening with the car from B to C?" - }, - { - "start": "20:26.36", - "stop": "20:28.40", - "speaker": "Tutor", - "dialogue": "Ah, so the car stopped?" - }, - { - "start": "20:28.88", - "stop": "20:30.16", - "speaker": "Tutor", - "dialogue": "It's not moving at all." - }, - { - "start": "20:30.68", - "stop": "20:32.60", - "speaker": "Tutor", - "dialogue": "How long does go ahead?" - }, - { - "start": "20:37.40", - "stop": "20:39.36", - "speaker": "Tutor", - "dialogue": "How long does the car stay stopped?" - }, - { - "start": "20:45.92", - "stop": "20:46.88", - "speaker": "Tutor", - "dialogue": "Okay, Cool." - }, - { - "start": "20:47.36", - "stop": "20:48.84", - "speaker": "Tutor", - "dialogue": "Now, go back and look at the map." - }, - { - "start": "20:53.24", - "stop": "20:59.72", - "speaker": "Tutor", - "dialogue": "Point C. Does it show B to C doing the same thing that you just described?" - }, - { - "start": "21:00.68", - "stop": "21:03.40", - "speaker": "Tutor", - "dialogue": "The time increased and the distance stayed the same." - }, - { - "start": "21:18.48", - "stop": "21:20.84", - "speaker": "Student", - "dialogue": "This is not the map is not by time." - }, - { - "start": "21:24.36", - "stop": "21:25.20", - "speaker": "Student", - "dialogue": "it's not by time." - }, - { - "start": "21:28.56", - "stop": "21:29.28", - "speaker": "Tutor", - "dialogue": "A, what do you mean?" - }, - { - "start": "21:29.36", - "stop": "21:29.52", - "speaker": "Tutor", - "dialogue": "Bby?" - }, - { - "start": "21:29.60", - "stop": "21:30.28", - "speaker": "Tutor", - "dialogue": "That that's cool?" - }, - { - "start": "21:49.72", - "stop": "21:50.00", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "21:52.24", - "stop": "21:53.72", - "speaker": "Tutor", - "dialogue": "So you want to revise your thinking?" - }, - { - "start": "22:10.88", - "stop": "22:12.36", - "speaker": "Tutor", - "dialogue": "Such cool thinking you're doing there." - }, - { - "start": "22:12.48", - "stop": "22:12.84", - "speaker": "Tutor", - "dialogue": "Awesome." - }, - { - "start": "22:12.88", - "stop": "22:14.80", - "speaker": "Tutor", - "dialogue": "Yeah, do we get to change our mind and math?" - }, - { - "start": "22:15.04", - "stop": "22:16.16", - "speaker": "Tutor", - "dialogue": "Can you revise your thinking" - }, - { - "start": "22:18.60", - "stop": "22:18.76", - "speaker": "Tutor", - "dialogue": "Ya?" - }, - { - "start": "22:19.04", - "stop": "22:19.64", - "speaker": "Tutor", - "dialogue": "Absolutely?" - }, - { - "start": "22:19.76", - "stop": "22:20.84", - "speaker": "Tutor", - "dialogue": "So you said" - }, - { - "start": "22:20.92", - "stop": "22:24.08", - "speaker": "Tutor", - "dialogue": "I think Se is here, And then you thought about it and said, Oh, never mind." - }, - { - "start": "22:24.20", - "stop": "22:25.24", - "speaker": "Tutor", - "dialogue": "I want to change my mind." - }, - { - "start": "22:25.92", - "stop": "22:26.20", - "speaker": "Tutor", - "dialogue": "cool." - }, - { - "start": "22:26.48", - "stop": "22:26.80", - "speaker": "Tutor", - "dialogue": "change it." - }, - { - "start": "22:40.44", - "stop": "22:40.92", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "22:41.16", - "stop": "22:44.68", - "speaker": "Tutor", - "dialogue": "As long as you can tell that that's point C and point B. You're labeling it" - }, - { - "start": "22:44.76", - "stop": "22:46.20", - "speaker": "Tutor", - "dialogue": "so you can keep track of your thinking." - }, - { - "start": "23:00.56", - "stop": "23:00.88", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "23:01.92", - "stop": "23:13.44", - "speaker": "Tutor", - "dialogue": "Okay, same thing, I'm going to ask you to keep labeling the points and then I'm going to ask you to justify your thinking about why you put the points where you did using these purple power words" - }, - { - "start": "23:22.12", - "stop": "23:26.64", - "speaker": "Tutor", - "dialogue": "so you can either do d e or f next, whichever one you want." - }, - { - "start": "23:37.72", - "stop": "23:40.08", - "speaker": "Tutor", - "dialogue": "Oops, I'll move this one for you." - }, - { - "start": "23:43.92", - "stop": "23:44.40", - "speaker": "Tutor", - "dialogue": "This one." - }, - { - "start": "23:45.44", - "stop": "23:47.36", - "speaker": "Tutor", - "dialogue": "We're gon to keep covered up for a minuteo." - }, - { - "start": "23:56.12", - "stop": "24:13.36", - "speaker": "Tutor", - "dialogue": "All right, Are you trying to get a textbox" - }, - { - "start": "24:17.32", - "stop": "24:19.40", - "speaker": "Tutor", - "dialogue": "If you want to use itlick on?" - }, - { - "start": "25:27.32", - "stop": "25:29.12", - "speaker": "Tutor", - "dialogue": "Are you typing in the textboox right now?" - }, - { - "start": "25:38.84", - "stop": "25:39.76", - "speaker": "Tutor", - "dialogue": "Was that I can' hear you." - }, - { - "start": "26:06.76", - "stop": "26:08.88", - "speaker": "Tutor", - "dialogue": "Which point are you going to label next?" - }, - { - "start": "26:17.68", - "stop": "26:22.68", - "speaker": "Tutor", - "dialogue": "Put it where you think it needs to gol." - }, - { - "start": "26:22.80", - "stop": "26:22.84", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "26:22.92", - "stop": "26:24.96", - "speaker": "Tutor", - "dialogue": "Were typing also from C to D?" - }, - { - "start": "26:25.20", - "stop": "27:00.00", - "speaker": "Tutor", - "dialogue": "The time is increasing Nice from C to D. the time is increasing." - }, - { - "start": "27:00.80", - "stop": "27:02.96", - "speaker": "Tutor", - "dialogue": "What's going on with a distance from Tod?" - }, - { - "start": "28:01.40", - "stop": "28:04.40", - "speaker": "Tutor", - "dialogue": "I saw you with your arrow pointing to something over here." - }, - { - "start": "28:05.00", - "stop": "28:19.96", - "speaker": "Tutor", - "dialogue": "Were you trying to figure something out when you were doing that or were you just thinking I can, Yup." - }, - { - "start": "28:20.96", - "stop": "28:39.88", - "speaker": "Student", - "dialogue": "Yeah, See is right here, and I thinkt thestance was fift." - }, - { - "start": "28:50.32", - "stop": "28:54.40", - "speaker": "Tutor", - "dialogue": "So, can you tell how much the distance increased from Se." - }, - { - "start": "28:54.60", - "stop": "28:54.64", - "speaker": "Tutor", - "dialogue": "to?" - }, - { - "start": "28:54.80", - "stop": "29:54.88", - "speaker": "Student", - "dialogue": "D. hams." - }, - { - "start": "30:04.44", - "stop": "30:11.24", - "speaker": "Tutor", - "dialogue": "Okay, cool, and I can see how you were figuring that out by counting on the the lines of the graph." - }, - { - "start": "30:11.56", - "stop": "30:12.60", - "speaker": "Tutor", - "dialogue": "Nice by fifty." - }, - { - "start": "30:12.72", - "stop": "30:12.76", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "30:16.16", - "stop": "30:20.32", - "speaker": "Tutor", - "dialogue": "Okayw?" - }, - { - "start": "30:21.56", - "stop": "30:28.88", - "speaker": "Student", - "dialogue": "Show fifty miles on, and once it goesup it goesp." - }, - { - "start": "30:29.80", - "stop": "30:39.12", - "speaker": "Tutor", - "dialogue": "F. nice" - }, - { - "start": "30:39.24", - "stop": "30:39.84", - "speaker": "Tutor", - "dialogue": "explanation." - }, - { - "start": "30:40.28", - "stop": "30:41.12", - "speaker": "Tutor", - "dialogue": "What about time?" - }, - { - "start": "30:41.28", - "stop": "30:44.24", - "speaker": "Tutor", - "dialogue": "Can you tell how much time is increasing from D to D?" - }, - { - "start": "31:24.48", - "stop": "31:25.56", - "speaker": "Tutor", - "dialogue": "What are you thinking about?" - }, - { - "start": "31:36.12", - "stop": "31:44.80", - "speaker": "Student", - "dialogue": "I sea ha taken one and a half mile, one, one miundred, thirty one hour." - }, - { - "start": "31:57.96", - "stop": "32:00.28", - "speaker": "Tutor", - "dialogue": "How so this is one hour and thirty minutes." - }, - { - "start": "32:01.68", - "stop": "32:02.76", - "speaker": "Tutor", - "dialogue": "Where are we at right now" - }, - { - "start": "32:02.84", - "stop": "32:03.28", - "speaker": "Tutor", - "dialogue": "For time?" - }, - { - "start": "32:20.32", - "stop": "32:37.72", - "speaker": "Tutor", - "dialogue": "So if Point D is at two hours and thirty minutes, and point C was at one hour and thirty minutes, how much time increased from C to D? One hour Quo." - }, - { - "start": "32:37.88", - "stop": "32:47.32", - "speaker": "Tutor", - "dialogue": "So you can label it up here from C to D. The time is increasing by some amount, and the distance is increasing by fifty miles." - }, - { - "start": "33:18.76", - "stop": "33:19.68", - "speaker": "Tutor", - "dialogue": "Give me some more room." - }, - { - "start": "33:30.44", - "stop": "33:31.88", - "speaker": "Tutor", - "dialogue": "Which one are you gonna work on now?" - }, - { - "start": "33:39.20", - "stop": "33:40.44", - "speaker": "Tutor", - "dialogue": "I'm gona modle down here." - }, - { - "start": "34:36.36", - "stop": "34:38.72", - "speaker": "Tutor", - "dialogue": "Are you thinking about D to e or e to F?" - }, - { - "start": "34:45.72", - "stop": "35:58.44", - "speaker": "Tutor", - "dialogue": "Okay, nice, I must scoot it up here" - }, - { - "start": "35:58.48", - "stop": "36:03.16", - "speaker": "Tutor", - "dialogue": "so we can see it, So where would you want to put point?" - }, - { - "start": "36:03.32", - "stop": "36:30.16", - "speaker": "Student", - "dialogue": "E is aby." - }, - { - "start": "36:30.60", - "stop": "37:06.80", - "speaker": "Tutor", - "dialogue": "Re, how come you're erasing them?" - }, - { - "start": "37:19.12", - "stop": "37:23.88", - "speaker": "Tutor", - "dialogue": "Ah, so you want that to show more distance" - }, - { - "start": "37:24.00", - "stop": "37:24.16", - "speaker": "Tutor", - "dialogue": "There?" - }, - { - "start": "37:24.68", - "stop": "37:25.88", - "speaker": "Tutor", - "dialogue": "your first thought was too close." - }, - { - "start": "37:26.00", - "stop": "37:49.20", - "speaker": "Tutor", - "dialogue": "You think Now that you've thought about by how much it has increased, He?" - }, - { - "start": "38:07.48", - "stop": "38:11.24", - "speaker": "Tutor", - "dialogue": "yeah, how come Ded E has this squiggly line?" - }, - { - "start": "38:30.72", - "stop": "38:32.12", - "speaker": "Tutor", - "dialogue": "You think it may be a bumpy road?" - }, - { - "start": "38:32.24", - "stop": "38:36.84", - "speaker": "Tutor", - "dialogue": "Is that what you said so?" - }, - { - "start": "38:37.44", - "stop": "38:38.20", - "speaker": "Tutor", - "dialogue": "from D to E?" - }, - { - "start": "38:38.60", - "stop": "38:42.00", - "speaker": "Tutor", - "dialogue": "you said that the distance increased by a total of thirty miles" - }, - { - "start": "38:43.32", - "stop": "38:48.32", - "speaker": "Tutor", - "dialogue": "Is the distance increasing like smoothly like it was here?" - }, - { - "start": "38:48.96", - "stop": "38:50.36", - "speaker": "Tutor", - "dialogue": "Or is what's going on?" - }, - { - "start": "39:01.00", - "stop": "39:10.04", - "speaker": "Tutor", - "dialogue": "Ah, so from D to E, the car is slowing down and then speeding back up, and then slowing down and then speeding back up." - }, - { - "start": "39:11.56", - "stop": "39:18.96", - "speaker": "Tutor", - "dialogue": "And what's happening from C to D is the car slowing down or speeding up, or staying at the same speed?" - }, - { - "start": "39:28.72", - "stop": "39:34.80", - "speaker": "Tutor", - "dialogue": "It's doing whatup?" - }, - { - "start": "39:48.72", - "stop": "39:48.76", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "39:49.08", - "stop": "40:13.04", - "speaker": "Tutor", - "dialogue": "So the distance is definitely increasing from C to D, and the time is definitely increasing from C to D. But for some reason there's this smooth line here and D to E. distance is also increasing and time is also increasing, But it's a bumpy line, so how come" - }, - { - "start": "40:13.12", - "stop": "40:29.92", - "speaker": "Tutor", - "dialogue": "it's a straight line or like a smooth line here, and a bumpy line heres." - }, - { - "start": "40:30.04", - "stop": "40:30.40", - "speaker": "Student", - "dialogue": "Traffic." - }, - { - "start": "40:41.36", - "stop": "40:42.84", - "speaker": "Tutor", - "dialogue": "Ah, like cruise control." - }, - { - "start": "40:44.28", - "stop": "40:48.84", - "speaker": "Tutor", - "dialogue": "Yeah, so this blue line shows from A to B. the car is traveling like" - }, - { - "start": "40:49.00", - "stop": "40:50.08", - "speaker": "Tutor", - "dialogue": "it's on cruise control." - }, - { - "start": "40:50.52", - "stop": "40:55.16", - "speaker": "Tutor", - "dialogue": "No traffic, nice and smooth, And then from B to C, What happens with the car?" - }, - { - "start": "41:00.56", - "stop": "41:02.44", - "speaker": "Tutor", - "dialogue": "Does it slow down or does it completely stop?" - }, - { - "start": "41:03.80", - "stop": "41:12.92", - "speaker": "Tutor", - "dialogue": "Yeah, it completely stops and then from C to D, it travels again nice and smooth like it has cruise control and then D to E. You're right." - }, - { - "start": "41:13.04", - "stop": "41:17.96", - "speaker": "Tutor", - "dialogue": "There might be some traffic that's causing it to stop and go, or speed up and slow down." - }, - { - "start": "41:18.68", - "stop": "41:23.60", - "speaker": "Tutor", - "dialogue": "So where on this journey does it make sense for the car to be and stop and go traffic?" - }, - { - "start": "41:32.96", - "stop": "41:33.00", - "speaker": "Tutor", - "dialogue": "In?" - }, - { - "start": "41:33.36", - "stop": "41:45.16", - "speaker": "Tutor", - "dialogue": "where on this map would it make sense for the car to be in traffic 'cause you said from D to E. the car must be in traffic or something like that, Cause it's speeding up and then slowing down?" - }, - { - "start": "41:55.84", - "stop": "41:57.60", - "speaker": "Student", - "dialogue": "I may be fied wy here." - }, - { - "start": "41:58.48", - "stop": "42:14.28", - "speaker": "Tutor", - "dialogue": "To so, yeah, A I, ninety five is the name of this entire in interstate." - }, - { - "start": "42:15.08", - "stop": "42:23.28", - "speaker": "Tutor", - "dialogue": "this entire road cool." - }, - { - "start": "42:23.48", - "stop": "42:25.84", - "speaker": "Tutor", - "dialogue": "So put, D. I'm sorry, put point" - }, - { - "start": "42:25.88", - "stop": "42:42.32", - "speaker": "Tutor", - "dialogue": "E where you think it is, and then from E to F. is the car traveling at a nice smooth speed?" - }, - { - "start": "42:43.04", - "stop": "42:43.08", - "speaker": "Tutor", - "dialogue": "Or" - }, - { - "start": "42:43.24", - "stop": "42:44.64", - "speaker": "Tutor", - "dialogue": "is it in stop and go traffic?" - }, - { - "start": "42:50.16", - "stop": "42:56.64", - "speaker": "Tutor", - "dialogue": "Okay, So does it make sense for the car to be able to travel smoothly through New York City or through New York City?" - }, - { - "start": "42:56.68", - "stop": "42:58.20", - "speaker": "Tutor", - "dialogue": "Would it be and stop and go traffic?" - }, - { - "start": "43:18.56", - "stop": "43:21.36", - "speaker": "Tutor", - "dialogue": "That's showing a squiggly line in New York City." - }, - { - "start": "43:22.44", - "stop": "43:36.16", - "speaker": "Tutor", - "dialogue": "That's like the actual shape of the road, but the graph is showing the relationship of how distance is changing and how time is changing, so it's showing how fast or slow the car is going." - }, - { - "start": "43:37.64", - "stop": "43:39.88", - "speaker": "Tutor", - "dialogue": "It's not actually showing the shape of the road." - }, - { - "start": "43:40.48", - "stop": "43:43.04", - "speaker": "Tutor", - "dialogue": "It's showin how fast the car is going." - }, - { - "start": "43:46.36", - "stop": "43:47.20", - "speaker": "Tutor", - "dialogue": "Do that make sense?" - }, - { - "start": "43:50.64", - "stop": "43:51.56", - "speaker": "Tutor", - "dialogue": "So where do you think?" - }, - { - "start": "43:51.68", - "stop": "43:52.76", - "speaker": "Tutor", - "dialogue": "That's a great question?" - }, - { - "start": "43:53.72", - "stop": "44:12.68", - "speaker": "Tutor", - "dialogue": "The graph and the map are keeping track of two different things, So for right here, a tob shows a Kirby line, but A to B on the gra ainew." - }, - { - "start": "44:26.40", - "stop": "44:54.60", - "speaker": "Student", - "dialogue": "How the hole had grow be on the grass, Cially, it, it is coming about the time list from ear Ea, on the grass on its traffic, so it shos the." - }, - { - "start": "44:54.80", - "stop": "45:15.08", - "speaker": "Tutor", - "dialogue": "Mo, beautiful, Yes, the map is keeping track of the actual shape of the road, but the graph is keeping track of how distance and time are changing in relationship to each other." - }, - { - "start": "45:16.20", - "stop": "45:17.00", - "speaker": "Tutor", - "dialogue": "That was really cool." - }, - { - "start": "45:17.12", - "stop": "45:19.72", - "speaker": "Tutor", - "dialogue": "Thinking we are almost at a time." - }, - { - "start": "45:19.76", - "stop": "45:24.76", - "speaker": "Tutor", - "dialogue": "so we're going to stop for a minute whenever you see any graph." - }, - { - "start": "45:26.16", - "stop": "45:28.48", - "speaker": "Tutor", - "dialogue": "no matter what is labelled here or here." - }, - { - "start": "45:29.48", - "stop": "45:34.72", - "speaker": "Tutor", - "dialogue": "Challenge yourself to think about what is this thing and how is it Changing" - }, - { - "start": "45:36.00", - "stop": "45:42.48", - "speaker": "Tutor", - "dialogue": "This axes will tell us if this thing is increasing, decreasing or staying the same." - }, - { - "start": "45:43.56", - "stop": "46:12.40", - "speaker": "Tutor", - "dialogue": "This axes will tell us if this thing is increasing, decreasing or staying the same, And then whatever is in the middle of the graph is telling us how these two things are changing in relationship to each other, So the relationship of miles to ours tells us how fast or how slow, or if the car is stopped or if it's going in this particular situation?" - }, - { - "start": "46:13.48", - "stop": "46:14.36", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "46:16.08", - "stop": "46:26.16", - "speaker": "Tutor", - "dialogue": "Yeahko, So you know that you are helping us test out this platform and this way of thinking about learning, so I'd love to hear from you." - }, - { - "start": "46:26.52", - "stop": "46:28.44", - "speaker": "Tutor", - "dialogue": "What was this experience like for you?" - }, - { - "start": "46:29.24", - "stop": "46:34.76", - "speaker": "Tutor", - "dialogue": "Is there anything that you feel like you are thinking about differently now, or something that you learned?" - }, - { - "start": "46:45.32", - "stop": "46:53.92", - "speaker": "Student", - "dialogue": "On butmberny." - }, - { - "start": "47:06.48", - "stop": "47:10.08", - "speaker": "Tutor", - "dialogue": "So it helped you start to think about how those things might be related and get ready for school." - }, - { - "start": "47:17.68", - "stop": "47:29.20", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, and in fact, you're going to see a lot of graphs for the rest of your math and school career, and thinking about how a graph works and making sense of it with these purple" - }, - { - "start": "47:29.32", - "stop": "47:37.36", - "speaker": "Tutor", - "dialogue": "power words will help you make sense of what's going on with the grapht, beyond just plotting points or or finding answers." - }, - { - "start": "47:37.48", - "stop": "47:45.08", - "speaker": "Tutor", - "dialogue": "Ok, Co, what was helpful for you or what do you think we should think about doing differently to make it better?" - }, - { - "start": "48:01.20", - "stop": "48:04.56", - "speaker": "Student", - "dialogue": "I ho the mat display every day." - } -] \ No newline at end of file diff --git a/data/amber/4254.json b/data/amber/4254.json deleted file mode 100644 index fe137e1..0000000 --- a/data/amber/4254.json +++ /dev/null @@ -1,866 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:04.58", - "speaker": "Tutor", - "dialogue": "Okay, we're recording now." - }, - { - "start": "00:04.58", - "stop": "00:07.54", - "speaker": "Tutor", - "dialogue": "First you can close your chat box if you want." - }, - { - "start": "00:07.54", - "stop": "00:08.90", - "speaker": "Tutor", - "dialogue": "We won't be using the chat." - }, - { - "start": "00:08.90", - "stop": "00:13.42", - "speaker": "Tutor", - "dialogue": "We'll be talking back and forth and then that way it gives you more workspace on your screen." - }, - { - "start": "00:13.42", - "stop": "00:14.42", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:14.42", - "stop": "00:18.58", - "speaker": "Tutor", - "dialogue": "On the left-hand side over here, do you see a blue bar with some tools in it?" - }, - { - "start": "00:18.58", - "stop": "00:19.58", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "00:19.58", - "stop": "00:20.58", - "speaker": "Tutor", - "dialogue": "Awesome." - }, - { - "start": "00:20.58", - "stop": "00:23.34", - "speaker": "Tutor", - "dialogue": "So the third one down is a pencil." - }, - { - "start": "00:23.34", - "stop": "00:28.42", - "speaker": "Tutor", - "dialogue": "When you click it to draw, you see a color and size box that pops up." - }, - { - "start": "00:28.42", - "stop": "00:29.42", - "speaker": "Tutor", - "dialogue": "Awesome." - }, - { - "start": "00:29.42", - "stop": "00:30.64", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "00:30.64", - "stop": "00:33.18", - "speaker": "Tutor", - "dialogue": "You can change the color and size if you want." - }, - { - "start": "00:33.18", - "stop": "00:37.82", - "speaker": "Tutor", - "dialogue": "And then we're going to practice erasing what you drew." - }, - { - "start": "00:37.82", - "stop": "00:42.14", - "speaker": "Tutor", - "dialogue": "So to erase, do not touch the trash can button." - }, - { - "start": "00:42.14", - "stop": "00:46.58", - "speaker": "Tutor", - "dialogue": "That will erase everything and we have no way of getting your work back." - }, - { - "start": "00:46.58", - "stop": "00:55.70", - "speaker": "Tutor", - "dialogue": "But if you want to change your mind and erase something, then you need to use the top arrow to select what it is you want to erase." - }, - { - "start": "00:55.70", - "stop": "00:59.34", - "speaker": "Tutor", - "dialogue": "And then yep, you selected it because that allow you to pull it too." - }, - { - "start": "00:59.34", - "stop": "01:03.42", - "speaker": "Tutor", - "dialogue": "Then you can hit the delete button on your screen." - }, - { - "start": "01:03.42", - "stop": "01:11.26", - "speaker": "Tutor", - "dialogue": "I'm sorry, on your keyboard or you can also use this arrow with an X in it." - }, - { - "start": "01:11.26", - "stop": "01:16.42", - "speaker": "Tutor", - "dialogue": "That's also the delete button on the toolbar." - }, - { - "start": "01:16.42", - "stop": "01:25.26", - "speaker": "Tutor", - "dialogue": "And then if you decide you want to type instead of draw, you can hit the box that has a square with a T and that will allow you same thing." - }, - { - "start": "01:25.26", - "stop": "01:29.90", - "speaker": "Tutor", - "dialogue": "You can change the color or size and you can type inside that text box if you want." - }, - { - "start": "01:29.90", - "stop": "01:30.90", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:30.90", - "stop": "01:31.90", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "01:31.90", - "stop": "01:32.90", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "01:32.90", - "stop": "01:37.10", - "speaker": "Tutor", - "dialogue": "And then as we're working together, I'm going to ask you a lot of questions." - }, - { - "start": "01:37.10", - "stop": "01:39.62", - "speaker": "Tutor", - "dialogue": "But that doesn't mean that you have something wrong." - }, - { - "start": "01:39.62", - "stop": "01:47.34", - "speaker": "Tutor", - "dialogue": "Just means the more you can help me understand what you're thinking, the better I can help you learn the next spot." - }, - { - "start": "01:47.34", - "stop": "01:48.34", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "01:48.34", - "stop": "01:49.34", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "01:49.34", - "stop": "01:50.34", - "speaker": "Student", - "dialogue": "That's cool." - }, - { - "start": "01:50.34", - "stop": "01:51.34", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "01:51.34", - "stop": "01:56.10", - "speaker": "Tutor", - "dialogue": "And then final thing, I can't see your face." - }, - { - "start": "01:56.10", - "stop": "01:58.66", - "speaker": "Tutor", - "dialogue": "So I can't read your body language." - }, - { - "start": "01:58.66", - "stop": "02:06.86", - "speaker": "Tutor", - "dialogue": "That means if I ask you a question and you are like, hmm, not sure, want some time to think about it." - }, - { - "start": "02:06.86", - "stop": "02:12.78", - "speaker": "Tutor", - "dialogue": "Just say that out loud so that I know not to keep talking because I don't want to interrupt your thinking." - }, - { - "start": "02:12.78", - "stop": "02:13.78", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "02:13.78", - "stop": "02:14.78", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "02:14.78", - "stop": "02:15.78", - "speaker": "Tutor", - "dialogue": "Here we go." - }, - { - "start": "02:15.78", - "stop": "02:16.78", - "speaker": "Tutor", - "dialogue": "I'm going to change the screen." - }, - { - "start": "02:16.78", - "stop": "02:17.78", - "speaker": "Tutor", - "dialogue": "Do you see something different now?" - }, - { - "start": "02:17.78", - "stop": "02:18.78", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "02:18.78", - "stop": "02:21.78", - "speaker": "Tutor", - "dialogue": "The map?" - }, - { - "start": "02:21.78", - "stop": "02:22.78", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "02:22.78", - "stop": "02:35.78", - "speaker": "Tutor", - "dialogue": "So take a minute to look over the map and read the words and then describe to me what you think is happening in this situation." - }, - { - "start": "02:35.78", - "stop": "02:52.70", - "speaker": "Tutor", - "dialogue": "And it was just like basically measuring the way or like tell you how long it's going to take to get there." - }, - { - "start": "02:52.70", - "stop": "02:53.70", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "02:53.70", - "stop": "02:57.22", - "speaker": "Tutor", - "dialogue": "How long what's going to take to get where?" - }, - { - "start": "02:57.22", - "stop": "02:59.90", - "speaker": "Tutor", - "dialogue": "How long the car journey is to Providence." - }, - { - "start": "02:59.90", - "stop": "03:01.90", - "speaker": "Tutor", - "dialogue": "Where does this journey start?" - }, - { - "start": "03:01.90", - "stop": "03:03.58", - "speaker": "Student", - "dialogue": "New York." - }, - { - "start": "03:03.58", - "stop": "03:05.86", - "speaker": "Tutor", - "dialogue": "Where does the journey end?" - }, - { - "start": "03:05.86", - "stop": "03:06.86", - "speaker": "Student", - "dialogue": "Providence." - }, - { - "start": "03:06.86", - "stop": "03:07.86", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "03:07.86", - "stop": "03:08.86", - "speaker": "Tutor", - "dialogue": "Look at the sentence up here." - }, - { - "start": "03:08.86", - "stop": "03:10.86", - "speaker": "Tutor", - "dialogue": "See if that matches what you predicted." - }, - { - "start": "03:10.86", - "stop": "03:12.86", - "speaker": "Student", - "dialogue": "Oh, I'm stupid." - }, - { - "start": "03:12.86", - "stop": "03:13.86", - "speaker": "Student", - "dialogue": "Sorry." - }, - { - "start": "03:13.86", - "stop": "03:16.98", - "speaker": "Student", - "dialogue": "It starts from Providence and ends in New York." - }, - { - "start": "03:16.98", - "stop": "03:18.90", - "speaker": "Tutor", - "dialogue": "But you don't get to say you're stupid." - }, - { - "start": "03:18.90", - "stop": "03:20.38", - "speaker": "Tutor", - "dialogue": "We're going to rephrase that one." - }, - { - "start": "03:20.38", - "stop": "03:21.38", - "speaker": "Student", - "dialogue": "Oh, I'm sorry." - }, - { - "start": "03:21.38", - "stop": "03:22.38", - "speaker": "Student", - "dialogue": "Sorry." - }, - { - "start": "03:22.38", - "stop": "03:25.10", - "speaker": "Tutor", - "dialogue": "You get to say, oh, I didn't pay attention to that." - }, - { - "start": "03:25.10", - "stop": "03:27.14", - "speaker": "Tutor", - "dialogue": "Or, oh, I'm changing my mind." - }, - { - "start": "03:27.14", - "stop": "03:29.26", - "speaker": "Tutor", - "dialogue": "That's all part of what we get to do together." - }, - { - "start": "03:29.26", - "stop": "03:30.26", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "03:30.26", - "stop": "03:31.26", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:31.26", - "stop": "03:32.26", - "speaker": "Student", - "dialogue": "Sorry." - }, - { - "start": "03:32.26", - "stop": "03:34.26", - "speaker": "Student", - "dialogue": "I apologize." - }, - { - "start": "03:34.26", - "stop": "03:37.26", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "03:37.26", - "stop": "03:39.34", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:39.34", - "stop": "03:40.34", - "speaker": "Tutor", - "dialogue": "So there's a car." - }, - { - "start": "03:40.34", - "stop": "03:42.86", - "speaker": "Tutor", - "dialogue": "It's taking a journey from Providence to Newark." - }, - { - "start": "03:42.86", - "stop": "03:47.18", - "speaker": "Tutor", - "dialogue": "And then you said we could measure how, what did you say was the measure?" - }, - { - "start": "03:47.18", - "stop": "03:49.38", - "speaker": "Tutor", - "dialogue": "How far it's going to be or how long?" - }, - { - "start": "03:49.38", - "stop": "03:54.26", - "speaker": "Tutor", - "dialogue": "If we measured how far or how long, what units would we be using to measure?" - }, - { - "start": "03:54.26", - "stop": "03:55.26", - "speaker": "Student", - "dialogue": "Miles?" - }, - { - "start": "03:55.26", - "stop": "03:56.26", - "speaker": "Student", - "dialogue": "Not miles." - }, - { - "start": "03:56.26", - "stop": "03:57.26", - "speaker": "Student", - "dialogue": "Miles, right?" - }, - { - "start": "03:57.26", - "stop": "04:00.34", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "04:00.34", - "stop": "04:01.34", - "speaker": "Tutor", - "dialogue": "You said miles." - }, - { - "start": "04:01.34", - "stop": "04:02.34", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "04:02.34", - "stop": "04:03.34", - "speaker": "Tutor", - "dialogue": "Is that a question or are you telling me?" - }, - { - "start": "04:03.34", - "stop": "04:08.34", - "speaker": "Tutor", - "dialogue": "It was a question because yards are smaller, right?" - }, - { - "start": "04:08.34", - "stop": "04:09.34", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "04:09.34", - "stop": "04:13.94", - "speaker": "Tutor", - "dialogue": "Yards are like if you stretch your arms out from fingertip to fingertip, that's about a yard." - }, - { - "start": "04:13.94", - "stop": "04:14.94", - "speaker": "Student", - "dialogue": "Oh, wow." - }, - { - "start": "04:14.94", - "stop": "04:15.94", - "speaker": "Student", - "dialogue": "So yeah, miles." - }, - { - "start": "04:15.94", - "stop": "04:17.78", - "speaker": "Student", - "dialogue": "We're counting by miles, I think." - }, - { - "start": "04:17.78", - "stop": "04:21.94", - "speaker": "Tutor", - "dialogue": "We could measure in yards, but it would be a lot of yards." - }, - { - "start": "04:21.94", - "stop": "04:22.94", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "04:22.94", - "stop": "04:23.94", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:23.94", - "stop": "04:25.50", - "speaker": "Tutor", - "dialogue": "So we can measure in miles." - }, - { - "start": "04:25.50", - "stop": "04:30.34", - "speaker": "Tutor", - "dialogue": "Are there anything, is there anything else that we can measure in this situation?" - }, - { - "start": "04:30.34", - "stop": "04:31.34", - "speaker": "Student", - "dialogue": "Kilometers." - }, - { - "start": "04:31.34", - "stop": "04:32.34", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:32.34", - "stop": "04:37.34", - "speaker": "Tutor", - "dialogue": "Anything else that we could keep track of or measure?" - }, - { - "start": "04:37.34", - "stop": "04:38.34", - "speaker": "Student", - "dialogue": "Time?" - }, - { - "start": "04:38.34", - "stop": "04:44.34", - "speaker": "Tutor", - "dialogue": "If we were going to keep track of time, what units would we use to do that?" - }, - { - "start": "04:44.34", - "stop": "04:45.34", - "speaker": "Tutor", - "dialogue": "Hours?" - }, - { - "start": "04:45.34", - "stop": "04:46.34", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "04:46.34", - "stop": "04:50.74", - "speaker": "Student", - "dialogue": "Oh, that's something else." - }, - { - "start": "04:50.74", - "stop": "04:52.82", - "speaker": "Tutor", - "dialogue": "I won't tell you if something's right or wrong." - }, - { - "start": "04:52.82", - "stop": "04:56.46", - "speaker": "Tutor", - "dialogue": "We'll keep thinking until you're convinced that yeah, it's right." - }, - { - "start": "04:56.46", - "stop": "04:58.82", - "speaker": "Tutor", - "dialogue": "I don't know." - }, - { - "start": "04:58.82", - "stop": "05:00.38", - "speaker": "Tutor", - "dialogue": "What are you unsure of?" - }, - { - "start": "05:00.38", - "stop": "05:03.38", - "speaker": "Tutor", - "dialogue": "What are we measuring again?" - }, - { - "start": "05:03.38", - "stop": "05:07.62", - "speaker": "Tutor", - "dialogue": "Right now, you're just thinking about some things that we could measure." - }, - { - "start": "05:07.62", - "stop": "05:11.70", - "speaker": "Tutor", - "dialogue": "So could we measure how long it takes in terms of time?" - }, - { - "start": "05:11.70", - "stop": "05:12.70", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "05:12.70", - "stop": "05:13.70", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "05:13.70", - "stop": "05:16.30", - "speaker": "Tutor", - "dialogue": "Could we measure how far it is in terms of miles?" - }, - { - "start": "05:16.30", - "stop": "05:17.30", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "05:17.30", - "stop": "05:18.30", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "05:18.30", - "stop": "05:19.30", - "speaker": "Tutor", - "dialogue": "Anything else?" - }, - { - "start": "05:19.30", - "stop": "05:20.30", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "05:20.30", - "stop": "05:21.30", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "05:21.30", - "stop": "05:22.30", - "speaker": "Student", - "dialogue": "Wait, am I right?" - }, - { - "start": "05:22.30", - "stop": "05:23.30", - "speaker": "Tutor", - "dialogue": "Oh my goodness." - }, - { - "start": "05:23.30", - "stop": "05:24.30", - "speaker": "Tutor", - "dialogue": "I'm going to love working with you today." - }, - { - "start": "05:24.30", - "stop": "05:25.30", - "speaker": "Tutor", - "dialogue": "We are not kidding." - }, - { - "start": "05:25.30", - "stop": "05:31.90", - "speaker": "Tutor", - "dialogue": "I'm not going to say because you know why?" - }, - { - "start": "05:31.90", - "stop": "05:33.74", - "speaker": "Tutor", - "dialogue": "You're a powerful math thinker." - }, - { - "start": "05:33.74", - "stop": "05:36.70", - "speaker": "Tutor", - "dialogue": "So at your mind, you're like, okay, yeah, I own it." - }, - { - "start": "05:36.70", - "stop": "05:37.98", - "speaker": "Tutor", - "dialogue": "Yes, we could do miles." - }, - { - "start": "05:37.98", - "stop": "05:40.02", - "speaker": "Tutor", - "dialogue": "Yes, we could do time." - }, - { - "start": "05:40.02", - "stop": "05:42.62", - "speaker": "Tutor", - "dialogue": "Because you're the authority of your math learning, not me." - }, - { - "start": "05:42.62", - "stop": "05:44.30", - "speaker": "Tutor", - "dialogue": "Are you convinced?" - }, - { - "start": "05:44.30", - "stop": "05:46.30", - "speaker": "Student", - "dialogue": "Yes, I am convinced." - }, - { - "start": "05:46.30", - "stop": "05:49.30", - "speaker": "Tutor", - "dialogue": "You still said it questioning." - }, - { - "start": "05:49.30", - "stop": "05:51.30", - "speaker": "Student", - "dialogue": "Yes, I'm convinced." - }, - { - "start": "05:51.30", - "stop": "05:54.30", - "speaker": "Student", - "dialogue": "I'm a powerful math thinker." - }, - { - "start": "05:54.30", - "stop": "05:55.30", - "speaker": "Student", - "dialogue": "Yes, I'm convinced." - }, - { - "start": "05:55.30", - "stop": "05:56.30", - "speaker": "Tutor", - "dialogue": "There you go." - }, - { - "start": "05:56.30", - "stop": "05:57.30", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "05:57.30", - "stop": "05:58.30", - "speaker": "Tutor", - "dialogue": "Let's see." - }, - { - "start": "05:58.30", - "stop": "06:00.30", - "speaker": "Tutor", - "dialogue": "How is this similar or different to what you predicted?" - }, - { - "start": "06:00.30", - "stop": "06:02.30", - "speaker": "Tutor", - "dialogue": "It was correct." - }, - { - "start": "06:02.30", - "stop": "06:05.30", - "speaker": "Tutor", - "dialogue": "It's just the X and Y table." - }, - { - "start": "06:05.30", - "stop": "06:08.30", - "speaker": "Tutor", - "dialogue": "You're measuring how long." - }, - { - "start": "06:08.30", - "stop": "06:10.30", - "speaker": "Tutor", - "dialogue": "Go ahead." - }, - { - "start": "06:10.30", - "stop": "06:33.30", - "speaker": "Tutor", - "dialogue": "How long does it take for a kink to occur to a person to disappear into ten minutes?" - } -] \ No newline at end of file diff --git a/data/amber/4265.json b/data/amber/4265.json deleted file mode 100644 index 9cd4e18..0000000 --- a/data/amber/4265.json +++ /dev/null @@ -1,524 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:07.78", - "speaker": "Tutor", - "dialogue": "Okay, so I'll explain a little bit how the tools work and then what it will be like as we work together this morning, okay?" - }, - { - "start": "00:07.78", - "stop": "00:09.74", - "speaker": "Student", - "dialogue": "Yes, okay." - }, - { - "start": "00:09.74", - "stop": "00:14.90", - "speaker": "Tutor", - "dialogue": "On the left-hand side of your screen, there's a blue toolbar." - }, - { - "start": "00:14.90", - "stop": "00:15.90", - "speaker": "Tutor", - "dialogue": "Can you see it?" - }, - { - "start": "00:15.90", - "stop": "00:16.90", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "00:16.90", - "stop": "00:21.90", - "speaker": "Tutor", - "dialogue": "All right, we're going to practice a couple of the tools there that you'll use so you know how to use them." - }, - { - "start": "00:21.90", - "stop": "00:29.64", - "speaker": "Tutor", - "dialogue": "The third button down is a pencil, and when you click on it, a color and size box pops up here." - }, - { - "start": "00:29.64", - "stop": "00:34.20", - "speaker": "Tutor", - "dialogue": "If you'd like to change the color or size of anything that you're drawing." - }, - { - "start": "00:34.20", - "stop": "00:42.60", - "speaker": "Tutor", - "dialogue": "And then there is a square with a T, and that's if you want to type instead of draw anything." - }, - { - "start": "00:42.60", - "stop": "00:45.60", - "speaker": "Tutor", - "dialogue": "And then we're going to practice erasing." - }, - { - "start": "00:45.60", - "stop": "00:47.00", - "speaker": "Tutor", - "dialogue": "So there you go, cool." - }, - { - "start": "00:47.00", - "stop": "00:49.04", - "speaker": "Tutor", - "dialogue": "So you inserted a text box." - }, - { - "start": "00:49.04", - "stop": "01:02.56", - "speaker": "Tutor", - "dialogue": "Now to erase just one thing, you can use the top arrow to select what it is you want to erase and then hit the backspace or delete button on your keyboard." - }, - { - "start": "01:02.56", - "stop": "01:04.08", - "speaker": "Tutor", - "dialogue": "Perfect." - }, - { - "start": "01:04.08", - "stop": "01:06.40", - "speaker": "Tutor", - "dialogue": "Do not hit the trashcan button." - }, - { - "start": "01:06.40", - "stop": "01:11.20", - "speaker": "Tutor", - "dialogue": "If you hit it, everything will be gone and we don't have a way to recover it." - }, - { - "start": "01:11.20", - "stop": "01:13.20", - "speaker": "Tutor", - "dialogue": "Makes sense?" - }, - { - "start": "01:13.20", - "stop": "01:14.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "01:14.20", - "stop": "01:25.24", - "speaker": "Tutor", - "dialogue": "Okay, you can close your chat box because we're just going to be talking back and forth like this and it'll make your workspace a little bit bigger." - }, - { - "start": "01:25.24", - "stop": "01:29.28", - "speaker": "Tutor", - "dialogue": "And as we're working, I'm going to ask you a lot of questions." - }, - { - "start": "01:29.28", - "stop": "01:31.66", - "speaker": "Tutor", - "dialogue": "It doesn't mean that you have something wrong." - }, - { - "start": "01:31.66", - "stop": "01:39.08", - "speaker": "Tutor", - "dialogue": "It just means I want to know more about your thinking or push your thinking to go a little bit deeper or a little bit further." - }, - { - "start": "01:39.08", - "stop": "01:40.08", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "01:40.08", - "stop": "01:41.08", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:41.08", - "stop": "01:49.00", - "speaker": "Tutor", - "dialogue": "And then if I ask you something, because I can't see your face, I can't read your body language." - }, - { - "start": "01:49.00", - "stop": "01:56.60", - "speaker": "Tutor", - "dialogue": "And so if you need more time to think about something, you're like, oh, I'm not sure, or I don't know, I want some more time." - }, - { - "start": "01:56.60", - "stop": "02:01.68", - "speaker": "Tutor", - "dialogue": "Just say that out loud so that I don't interrupt your thinking by continuing to talk." - }, - { - "start": "02:01.68", - "stop": "02:03.80", - "speaker": "Student", - "dialogue": "Okay, thank you." - }, - { - "start": "02:03.80", - "stop": "02:04.80", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "02:04.80", - "stop": "02:05.80", - "speaker": "Tutor", - "dialogue": "Any questions?" - }, - { - "start": "02:05.80", - "stop": "02:06.80", - "speaker": "Student", - "dialogue": "Not really." - }, - { - "start": "02:06.80", - "stop": "02:07.80", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "02:07.80", - "stop": "02:10.88", - "speaker": "Tutor", - "dialogue": "All right, I'm going to change the screen." - }, - { - "start": "02:10.88", - "stop": "02:13.44", - "speaker": "Tutor", - "dialogue": "Do you see something different now?" - }, - { - "start": "02:13.44", - "stop": "02:14.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "02:14.44", - "stop": "02:22.60", - "speaker": "Tutor", - "dialogue": "All right, take a minute to read it, look it over, and then describe what you think is happening in this situation." - }, - { - "start": "02:22.60", - "stop": "02:29.24", - "speaker": "Student", - "dialogue": "There's a map." - }, - { - "start": "02:29.24", - "stop": "02:30.24", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "02:30.24", - "stop": "02:35.88", - "speaker": "Tutor", - "dialogue": "And what's going on with the map?" - }, - { - "start": "02:35.88", - "stop": "02:42.12", - "speaker": "Student", - "dialogue": "It's a path between an area of Rhode Island and New Jersey." - }, - { - "start": "02:42.12", - "stop": "02:43.12", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "02:43.12", - "stop": "02:45.16", - "speaker": "Student", - "dialogue": "And it goes through New York." - }, - { - "start": "02:45.16", - "stop": "02:46.16", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "02:46.16", - "stop": "02:52.28", - "speaker": "Tutor", - "dialogue": "What are some things that we could think about measuring in this situation?" - }, - { - "start": "02:52.28", - "stop": "02:57.04", - "speaker": "Student", - "dialogue": "We could probably measure the distance in miles or something." - }, - { - "start": "02:57.04", - "stop": "03:02.64", - "speaker": "Tutor", - "dialogue": "Okay, so we can measure the distance between places using the units of miles?" - }, - { - "start": "03:02.64", - "stop": "03:04.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:04.20", - "stop": "03:08.00", - "speaker": "Tutor", - "dialogue": "What else could we measure?" - }, - { - "start": "03:08.00", - "stop": "03:11.00", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "03:11.00", - "stop": "03:17.84", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "03:17.84", - "stop": "03:21.20", - "speaker": "Student", - "dialogue": "The time it takes to get there?" - }, - { - "start": "03:21.20", - "stop": "03:25.96", - "speaker": "Tutor", - "dialogue": "If we were going to measure the time, what unit might we use for that?" - }, - { - "start": "03:25.96", - "stop": "03:28.76", - "speaker": "Student", - "dialogue": "Hours, maybe?" - }, - { - "start": "03:28.76", - "stop": "03:35.96", - "speaker": "Tutor", - "dialogue": "Is there anything else that we could think about measuring?" - }, - { - "start": "03:35.96", - "stop": "03:49.84", - "speaker": "Student", - "dialogue": "I don't think so." - }, - { - "start": "03:49.84", - "stop": "03:50.84", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "03:50.84", - "stop": "03:57.88", - "speaker": "Tutor", - "dialogue": "I'm going to uncover something now, and I'd like you to think about how it's similar or different to what you were thinking about." - }, - { - "start": "03:57.88", - "stop": "03:59.88", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "03:59.88", - "stop": "04:01.88", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "04:01.88", - "stop": "04:13.68", - "speaker": "Student", - "dialogue": "Yeah, I mean, it's talking about the time it took and the distance they traveled." - }, - { - "start": "04:13.68", - "stop": "04:14.68", - "speaker": "Tutor", - "dialogue": "You said, oh." - }, - { - "start": "04:14.68", - "stop": "04:16.68", - "speaker": "Tutor", - "dialogue": "What was that oh about?" - }, - { - "start": "04:16.68", - "stop": "04:27.00", - "speaker": "Student", - "dialogue": "Well, I've seen this in the past, so it's uncovered some things I kind of forgot about." - }, - { - "start": "04:27.00", - "stop": "04:31.24", - "speaker": "Tutor", - "dialogue": "Okay, so it was your brain saying, oh, this is kind of familiar." - }, - { - "start": "04:31.24", - "stop": "04:32.24", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "04:32.24", - "stop": "04:34.68", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "04:34.68", - "stop": "04:42.32", - "speaker": "Tutor", - "dialogue": "Taking a look at the map and the graph now, I can see your arrow if you move it." - }, - { - "start": "04:42.32", - "stop": "04:46.92", - "speaker": "Tutor", - "dialogue": "Use your arrow to show how the car travels on the map." - }, - { - "start": "04:46.92", - "stop": "04:50.52", - "speaker": "Student", - "dialogue": "Wait, where's the arrow?" - }, - { - "start": "04:50.52", - "stop": "04:52.52", - "speaker": "Tutor", - "dialogue": "That's your cursor, so your mouse." - }, - { - "start": "04:52.52", - "stop": "04:55.52", - "speaker": "Tutor", - "dialogue": "Can you kind of see it?" - }, - { - "start": "04:55.52", - "stop": "04:56.52", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "04:56.52", - "stop": "05:04.60", - "speaker": "Tutor", - "dialogue": "Yeah, so move it over to the map and show me, pretend like your arrow is the car, and show me how it travels on the map." - }, - { - "start": "05:04.60", - "stop": "05:07.44", - "speaker": "Student", - "dialogue": "Is my arrow moving now?" - }, - { - "start": "05:07.44", - "stop": "05:10.36", - "speaker": "Student", - "dialogue": "I'm on an iPad, so I'm not really sure." - }, - { - "start": "05:10.36", - "stop": "05:11.36", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "05:11.36", - "stop": "05:14.64", - "speaker": "Tutor", - "dialogue": "I see it moving on the graph, but I don't see it moving on the map." - }, - { - "start": "05:14.64", - "stop": "05:17.64", - "speaker": "Tutor", - "dialogue": "Can you slide it over to the map?" - }, - { - "start": "05:17.64", - "stop": "05:18.64", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "05:21.64", - "stop": "05:22.64", - "speaker": "Tutor", - "dialogue": "Oh, are you still there?" - }, - { - "start": "05:22.64", - "stop": "05:23.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "05:23.64", - "stop": "05:24.64", - "speaker": "Student", - "dialogue": "My screen is white." - }, - { - "start": "05:24.64", - "stop": "05:38.12", - "speaker": "Tutor", - "dialogue": "Oh, you probably clicked off of the platform then." - }, - { - "start": "05:38.12", - "stop": "05:44.08", - "speaker": "Tutor", - "dialogue": "Sometimes when you're on an iPad, it's a little bit finicky." - }, - { - "start": "05:44.08", - "stop": "05:51.96", - "speaker": "Tutor", - "dialogue": "Can you click back on to the workspace?" - }, - { - "start": "05:51.96", - "stop": "05:58.40", - "speaker": "Student", - "dialogue": "I mean, I accidentally pressed a button that's like under the select button." - }, - { - "start": "05:58.40", - "stop": "06:00.40", - "speaker": "Student", - "dialogue": "Oh." - } -] \ No newline at end of file diff --git a/data/amber/4275.json b/data/amber/4275.json deleted file mode 100644 index 8fad121..0000000 --- a/data/amber/4275.json +++ /dev/null @@ -1,38 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:06.36", - "speaker": "Tutor", - "dialogue": "Okay, on the left-hand side of your screen, do you see the toolbar that's in blue?" - }, - { - "start": "00:06.36", - "stop": "00:07.36", - "speaker": "Student", - "dialogue": "Yes, I do." - }, - { - "start": "00:07.36", - "stop": "00:10.72", - "speaker": "Tutor", - "dialogue": "All right, we're going to practice using a few of those things." - }, - { - "start": "00:10.72", - "stop": "00:13.58", - "speaker": "Tutor", - "dialogue": "So the third button down is a pencil." - }, - { - "start": "00:13.58", - "stop": "00:17.36", - "speaker": "Tutor", - "dialogue": "If you click on it, a color and size box pops up." - }, - { - "start": "00:17.36", - "stop": "00:42.36", - "speaker": "Tutor", - "dialogue": "If you want to change" - } -] \ No newline at end of file diff --git a/data/amber/4276.json b/data/amber/4276.json deleted file mode 100644 index 7dedcf3..0000000 --- a/data/amber/4276.json +++ /dev/null @@ -1,32 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:02.68", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "00:02.68", - "stop": "00:06.28", - "speaker": "Tutor", - "dialogue": "On the left-hand side of your screen, there is a blue toolbar." - }, - { - "start": "00:06.28", - "stop": "00:11.08", - "speaker": "Tutor", - "dialogue": "We're going to practice using some of those tools so you know how to use them as we're thinking together." - }, - { - "start": "00:11.08", - "stop": "00:23.08", - "speaker": "Tutor", - "dialogue": "If you click on the pencil button, which is the third one down, there'll be a box that pops up with a color and size box if you want to change the color or size of anything that you're drawing." - }, - { - "start": "00:23.08", - "stop": "00:45.62", - "speaker": "Tutor", - "dialogue": "Then there is a..." - } -] \ No newline at end of file diff --git a/data/amber/4279.json b/data/amber/4279.json deleted file mode 100644 index 269e738..0000000 --- a/data/amber/4279.json +++ /dev/null @@ -1,38 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:06.00", - "speaker": "Tutor", - "dialogue": "All right. Do you see the tools on the left-hand side of the screen?" - }, - { - "start": "00:06.00", - "stop": "00:07.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "00:07.00", - "stop": "00:19.00", - "speaker": "Tutor", - "dialogue": "All right. We're going to take a look at those for a minute and practice with a few of them because the erase button gets a little bit tricky, so we want to make sure that we can see all of your work, okay?" - }, - { - "start": "00:19.00", - "stop": "00:31.00", - "speaker": "Tutor", - "dialogue": "So the third button down is a pencil. If you click on that, up above, they'll pop up a color and size box if you want to change the color or size of anything." - }, - { - "start": "00:31.00", - "stop": "00:37.00", - "speaker": "Tutor", - "dialogue": "If you want to type anything, you can use the square with a T." - }, - { - "start": "00:37.00", - "stop": "01:06.00", - "speaker": "Tutor", - "dialogue": "In the middle" - } -] \ No newline at end of file diff --git a/data/amber/4280.json b/data/amber/4280.json deleted file mode 100644 index a7c2c73..0000000 --- a/data/amber/4280.json +++ /dev/null @@ -1,38 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:06.00", - "speaker": "Tutor", - "dialogue": "All right. Do you see the tools on the left-hand side of your screen?" - }, - { - "start": "00:06.00", - "stop": "00:07.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "00:07.00", - "stop": "00:11.00", - "speaker": "Tutor", - "dialogue": "We're going to practice using them a little bit. Can you see my arrow when it moves around?" - }, - { - "start": "00:11.00", - "stop": "00:12.00", - "speaker": "Student", - "dialogue": "Uh-huh." - }, - { - "start": "00:12.00", - "stop": "00:13.00", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "00:13.00", - "stop": "00:42.98", - "speaker": "Tutor", - "dialogue": "The 3rd..." - } -] \ No newline at end of file diff --git a/data/amber/4282.json b/data/amber/4282.json deleted file mode 100644 index 82ba72e..0000000 --- a/data/amber/4282.json +++ /dev/null @@ -1,218 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:07.72", - "speaker": "Tutor", - "dialogue": "Okay, so on the left-hand side of your screen, do you see the blue bar that has tools in it?" - }, - { - "start": "00:07.72", - "stop": "00:08.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "00:08.72", - "stop": "00:11.68", - "speaker": "Tutor", - "dialogue": "Cool, so we're going to practice using a few of those." - }, - { - "start": "00:11.68", - "stop": "00:14.76", - "speaker": "Tutor", - "dialogue": "The third one down is a pencil." - }, - { - "start": "00:14.76", - "stop": "00:19.68", - "speaker": "Tutor", - "dialogue": "If you click it, then a box will pop up here that you can change the color and size." - }, - { - "start": "00:19.68", - "stop": "00:23.16", - "speaker": "Tutor", - "dialogue": "Yep, if you want to change anything there." - }, - { - "start": "00:23.16", - "stop": "00:28.96", - "speaker": "Tutor", - "dialogue": "Then there is a square with a T in the middle." - }, - { - "start": "00:28.96", - "stop": "00:34.40", - "speaker": "Tutor", - "dialogue": "That's the text box." - }, - { - "start": "00:34.40", - "stop": "00:39.96", - "speaker": "Tutor", - "dialogue": "It's a square with a T. Yep, you see how I added a text box?" - }, - { - "start": "00:39.96", - "stop": "00:45.00", - "speaker": "Student", - "dialogue": "Wait, like the square with a T?" - }, - { - "start": "00:45.00", - "stop": "00:46.00", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "00:46.00", - "stop": "00:47.00", - "speaker": "Student", - "dialogue": "Oh, yeah." - }, - { - "start": "00:47.00", - "stop": "00:50.00", - "speaker": "Tutor", - "dialogue": "Exactly, that's if you want to type anything." - }, - { - "start": "00:50.00", - "stop": "00:54.46", - "speaker": "Tutor", - "dialogue": "And then we're going to practice erasing." - }, - { - "start": "00:54.46", - "stop": "00:58.36", - "speaker": "Tutor", - "dialogue": "So the trash can button, do not touch it." - }, - { - "start": "00:58.36", - "stop": "00:59.36", - "speaker": "Student", - "dialogue": "Oh, oh my god." - }, - { - "start": "00:59.36", - "stop": "01:00.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "01:00.36", - "stop": "01:01.36", - "speaker": "Tutor", - "dialogue": "That's okay, that's why we're practicing now." - }, - { - "start": "01:01.36", - "stop": "01:02.36", - "speaker": "Tutor", - "dialogue": "That's what happens." - }, - { - "start": "01:02.36", - "stop": "01:09.28", - "speaker": "Tutor", - "dialogue": "It takes away everything and we don't have a way to get your work back." - }, - { - "start": "01:09.28", - "stop": "01:15.52", - "speaker": "Tutor", - "dialogue": "So if you want to change your mind and erase something though, you need to..." - }, - { - "start": "01:15.52", - "stop": "01:16.52", - "speaker": "Tutor", - "dialogue": "I hear back feet." - }, - { - "start": "01:16.52", - "stop": "01:20.08", - "speaker": "Tutor", - "dialogue": "Do you hear me twice?" - }, - { - "start": "01:20.08", - "stop": "01:22.36", - "speaker": "Student", - "dialogue": "I can hear you, like only once." - }, - { - "start": "01:22.36", - "stop": "01:23.36", - "speaker": "Tutor", - "dialogue": "Only once, that's weird." - }, - { - "start": "01:23.36", - "stop": "01:24.36", - "speaker": "Tutor", - "dialogue": "I hear an echo." - }, - { - "start": "01:24.36", - "stop": "01:25.36", - "speaker": "Student", - "dialogue": "Oh, I think it's from my mic." - }, - { - "start": "01:25.36", - "stop": "01:26.36", - "speaker": "Student", - "dialogue": "I'll wear headphones." - }, - { - "start": "01:26.36", - "stop": "01:28.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "01:28.36", - "stop": "01:30.36", - "speaker": "Student", - "dialogue": "Hello?" - }, - { - "start": "01:30.36", - "stop": "01:40.36", - "speaker": "None", - "dialogue": "Yes, can you still hear me?" - }, - { - "start": "01:40.36", - "stop": "01:41.36", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "01:41.36", - "stop": "01:44.36", - "speaker": "Tutor", - "dialogue": "Nice, that's much better." - }, - { - "start": "01:44.36", - "stop": "01:45.36", - "speaker": "Tutor", - "dialogue": "Thank you so much." - }, - { - "start": "01:45.36", - "stop": "01:46.36", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:46.36", - "stop": "01:58.28", - "speaker": "Tutor", - "dialogue": "All right, so if you want to erase just part of your work, then you use the top arrow, that's your select arrow to select what you want to erase." - } -] \ No newline at end of file diff --git a/data/amber/4285.json b/data/amber/4285.json deleted file mode 100644 index eebb7c0..0000000 --- a/data/amber/4285.json +++ /dev/null @@ -1,2138 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:05.60", - "speaker": "Tutor", - "dialogue": "All right, do you see the blue toolbar on the left-hand side of the screen?" - }, - { - "start": "00:05.60", - "stop": "00:06.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "00:06.60", - "stop": "00:09.00", - "speaker": "Tutor", - "dialogue": "We're going to practice using a few of those things." - }, - { - "start": "00:09.00", - "stop": "00:11.24", - "speaker": "Tutor", - "dialogue": "The third one down is a pencil." - }, - { - "start": "00:11.24", - "stop": "00:12.24", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:12.24", - "stop": "00:16.88", - "speaker": "Tutor", - "dialogue": "Whenever you click on it, you'll see a color and a size box that pops up." - }, - { - "start": "00:16.88", - "stop": "00:20.64", - "speaker": "Tutor", - "dialogue": "So you can draw, change colors and size of things if you'd like." - }, - { - "start": "00:20.64", - "stop": "00:23.56", - "speaker": "Student", - "dialogue": "Oh yeah, I see it up top." - }, - { - "start": "00:23.56", - "stop": "00:24.56", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "00:24.56", - "stop": "00:27.04", - "speaker": "Tutor", - "dialogue": "Okay, and then there is a square with a T." - }, - { - "start": "00:27.04", - "stop": "00:38.56", - "speaker": "Tutor", - "dialogue": "Okay, that's if you want to add text and type instead of draw." - }, - { - "start": "00:38.56", - "stop": "00:41.04", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "00:41.04", - "stop": "00:43.44", - "speaker": "Tutor", - "dialogue": "And then we're going to practice erasing." - }, - { - "start": "00:43.44", - "stop": "00:47.24", - "speaker": "Tutor", - "dialogue": "So this trashcan button, don't touch it." - }, - { - "start": "00:47.24", - "stop": "00:51.88", - "speaker": "Student", - "dialogue": "It's only this one." - }, - { - "start": "00:51.88", - "stop": "00:52.88", - "speaker": "Tutor", - "dialogue": "It's only what one?" - }, - { - "start": "00:52.88", - "stop": "00:57.64", - "speaker": "Student", - "dialogue": "No, no, because I was going to say this one, the remove current selection." - }, - { - "start": "00:57.64", - "stop": "00:59.00", - "speaker": "Tutor", - "dialogue": "Yeah, exactly." - }, - { - "start": "00:59.00", - "stop": "01:01.20", - "speaker": "Tutor", - "dialogue": "So select what you want to erase." - }, - { - "start": "01:01.20", - "stop": "01:05.76", - "speaker": "Tutor", - "dialogue": "And the way you do that is use the top arrow as your select tool." - }, - { - "start": "01:05.76", - "stop": "01:08.52", - "speaker": "Tutor", - "dialogue": "Click on what you want to erase." - }, - { - "start": "01:08.52", - "stop": "01:15.72", - "speaker": "Tutor", - "dialogue": "And then you can either do delete on your keyboard or you can use that arrow with an X in it." - }, - { - "start": "01:15.72", - "stop": "01:16.72", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:16.72", - "stop": "01:18.48", - "speaker": "Tutor", - "dialogue": "Got it?" - }, - { - "start": "01:18.48", - "stop": "01:19.48", - "speaker": "Student", - "dialogue": "Mm-hmm." - }, - { - "start": "01:19.48", - "stop": "01:24.20", - "speaker": "Tutor", - "dialogue": "Okay, you can close your chat box now because we won't be using it." - }, - { - "start": "01:24.20", - "stop": "01:26.52", - "speaker": "Tutor", - "dialogue": "We'll be talking back and forth like this." - }, - { - "start": "01:26.52", - "stop": "01:27.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:27.52", - "stop": "01:31.08", - "speaker": "Tutor", - "dialogue": "And then I am going to be asking you a lot of questions." - }, - { - "start": "01:31.08", - "stop": "01:36.12", - "speaker": "Tutor", - "dialogue": "When I ask you something, it doesn't necessarily mean that you have something wrong." - }, - { - "start": "01:36.12", - "stop": "01:41.76", - "speaker": "Tutor", - "dialogue": "It just means I want to know more about your thinking or I might want to push you to go a little bit deeper with your thinking." - }, - { - "start": "01:41.76", - "stop": "01:42.76", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "01:42.76", - "stop": "01:43.76", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:43.76", - "stop": "01:58.52", - "speaker": "Tutor", - "dialogue": "And also, since I can't see your face, if I ask something and you are like, I don't know, let me think about that, then just say it out loud so that I give you time to think and I don't interrupt you by talking some more." - }, - { - "start": "01:58.52", - "stop": "01:59.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "01:59.52", - "stop": "02:03.96", - "speaker": "Tutor", - "dialogue": "All right, I'm going to turn the page." - }, - { - "start": "02:03.96", - "stop": "02:05.76", - "speaker": "Tutor", - "dialogue": "Do you see something different on your screen now?" - }, - { - "start": "02:05.76", - "stop": "02:10.00", - "speaker": "Student", - "dialogue": "Yeah, a map from Newark to Providence." - }, - { - "start": "02:10.00", - "stop": "02:11.00", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "02:11.00", - "stop": "02:13.28", - "speaker": "Tutor", - "dialogue": "So read the sentence at the top." - }, - { - "start": "02:13.28", - "stop": "02:19.56", - "speaker": "Tutor", - "dialogue": "Look at the map and describe what you think is happening in the situation." - }, - { - "start": "02:19.56", - "stop": "02:24.68", - "speaker": "Student", - "dialogue": "Someone's driving from Providence to Newark using the I-95 highway." - }, - { - "start": "02:24.68", - "stop": "02:25.68", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "02:25.68", - "stop": "02:29.84", - "speaker": "Tutor", - "dialogue": "What are some things that you think we could measure in this situation?" - }, - { - "start": "02:29.84", - "stop": "02:36.24", - "speaker": "Student", - "dialogue": "We could measure length and we can measure displacement." - }, - { - "start": "02:36.24", - "stop": "02:37.24", - "speaker": "Tutor", - "dialogue": "Say more about that." - }, - { - "start": "02:37.24", - "stop": "02:40.00", - "speaker": "Tutor", - "dialogue": "What units would we use or what would we be looking at?" - }, - { - "start": "02:40.00", - "stop": "02:50.96", - "speaker": "Student", - "dialogue": "Well, we could use miles because that's the one we usually use here in New York, or we could use kilometers." - }, - { - "start": "02:50.96", - "stop": "02:55.96", - "speaker": "Tutor", - "dialogue": "And what would we be keeping track of if we used miles or kilometers?" - }, - { - "start": "02:55.96", - "stop": "03:01.60", - "speaker": "Student", - "dialogue": "Would be keeping track of the distance from the Providence to Newark." - }, - { - "start": "03:01.60", - "stop": "03:02.60", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:02.60", - "stop": "03:05.08", - "speaker": "Tutor", - "dialogue": "And what else could we measure?" - }, - { - "start": "03:05.08", - "stop": "03:10.92", - "speaker": "Student", - "dialogue": "We could also measure time for how long it would take to arrive." - }, - { - "start": "03:10.92", - "stop": "03:12.24", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:12.24", - "stop": "03:16.72", - "speaker": "Tutor", - "dialogue": "What unit or units would we use to keep track of time?" - }, - { - "start": "03:16.72", - "stop": "03:21.52", - "speaker": "Student", - "dialogue": "We could use seconds, minutes, or hours, and most likely minutes or hours." - }, - { - "start": "03:21.52", - "stop": "03:22.68", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:22.68", - "stop": "03:25.56", - "speaker": "Tutor", - "dialogue": "So in this situation, you think it's minutes or hours?" - }, - { - "start": "03:25.56", - "stop": "03:29.96", - "speaker": "Student", - "dialogue": "I think, yeah, I think minutes because I don't think it's like a few hours." - }, - { - "start": "03:29.96", - "stop": "03:33.60", - "speaker": "Student", - "dialogue": "If something, it's only going to be like an hour or two." - }, - { - "start": "03:33.60", - "stop": "03:34.60", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:34.60", - "stop": "03:39.20", - "speaker": "Tutor", - "dialogue": "Anything else that we could keep track of or measure?" - }, - { - "start": "03:39.20", - "stop": "03:42.36", - "speaker": "Student", - "dialogue": "We could keep track of velocity." - }, - { - "start": "03:42.36", - "stop": "03:43.36", - "speaker": "Tutor", - "dialogue": "And what would that tell us?" - }, - { - "start": "03:43.36", - "stop": "03:44.36", - "speaker": "Tutor", - "dialogue": "Tell me more about that." - }, - { - "start": "03:44.36", - "stop": "03:48.68", - "speaker": "Student", - "dialogue": "That would tell us like how, the speed of how fast we're going." - }, - { - "start": "03:48.68", - "stop": "03:54.44", - "speaker": "Student", - "dialogue": "So it would be miles per hour or miles per minute." - }, - { - "start": "03:54.44", - "stop": "03:55.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:55.44", - "stop": "03:57.44", - "speaker": "Tutor", - "dialogue": "Anything else?" - }, - { - "start": "03:57.44", - "stop": "03:59.72", - "speaker": "Student", - "dialogue": "I think that's it." - }, - { - "start": "03:59.72", - "stop": "04:00.72", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:00.72", - "stop": "04:04.08", - "speaker": "Tutor", - "dialogue": "I'm going to uncover something and you tell me how it's similar or different to what you were thinking." - }, - { - "start": "04:04.08", - "stop": "04:16.12", - "speaker": "Student", - "dialogue": "It's similar because it's showing us, this is a velocity graph because it's showing us miles per hour." - }, - { - "start": "04:16.12", - "stop": "04:20.52", - "speaker": "Tutor", - "dialogue": "I see miles on there and I see hours, but I'm not understanding velocity." - }, - { - "start": "04:20.52", - "stop": "04:22.56", - "speaker": "Tutor", - "dialogue": "Help me understand where you see velocity." - }, - { - "start": "04:22.56", - "stop": "04:26.12", - "speaker": "Student", - "dialogue": "So you have hours and miles." - }, - { - "start": "04:26.12", - "stop": "04:37.72", - "speaker": "Student", - "dialogue": "So we could find the average from F to A, which would show us how much, how fast the car is going for every hour." - }, - { - "start": "04:37.72", - "stop": "04:44.36", - "speaker": "Student", - "dialogue": "So if we would do it here, it ends at around 150 miles in four hours." - }, - { - "start": "04:44.36", - "stop": "04:54.28", - "speaker": "Student", - "dialogue": "So that would be around, it would be like 37, around 36, 37 miles per hour." - }, - { - "start": "04:54.28", - "stop": "04:55.64", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:55.64", - "stop": "05:00.16", - "speaker": "Tutor", - "dialogue": "So we can only find it from A to F. Is that what you're saying?" - }, - { - "start": "05:00.16", - "stop": "05:03.84", - "speaker": "Tutor", - "dialogue": "Or is it possible to see the speed of the graph right now?" - }, - { - "start": "05:03.84", - "stop": "05:11.00", - "speaker": "Student", - "dialogue": "We could see the speed of the graph, for example, from A to B. That means we're going 50 miles per hour." - }, - { - "start": "05:11.00", - "stop": "05:15.12", - "speaker": "Student", - "dialogue": "Then for half an hour, we're at a stop." - }, - { - "start": "05:15.12", - "stop": "05:23.04", - "speaker": "Student", - "dialogue": "And then from C to D for another hour, we're going again, 50 miles per hour." - }, - { - "start": "05:23.04", - "stop": "05:34.08", - "speaker": "Student", - "dialogue": "And from D to E, so another hour, we're at like, we're 30 miles per hour, but it's a bit squiggly." - }, - { - "start": "05:34.08", - "stop": "05:41.04", - "speaker": "Student", - "dialogue": "And from E to F, that would be 20 miles." - }, - { - "start": "05:41.04", - "stop": "05:47.36", - "speaker": "Student", - "dialogue": "That would be, I'm sorry, that would be 40 miles per hour." - }, - { - "start": "05:47.36", - "stop": "05:48.36", - "speaker": "Tutor", - "dialogue": "You said a lot of stuff there." - }, - { - "start": "05:48.36", - "stop": "05:49.36", - "speaker": "Tutor", - "dialogue": "That was really cool." - }, - { - "start": "05:49.36", - "stop": "05:53.16", - "speaker": "Tutor", - "dialogue": "So I'm going to ask, because I want to make sure I'm understanding how you're thinking about it." - }, - { - "start": "05:53.16", - "stop": "05:56.16", - "speaker": "Tutor", - "dialogue": "From D to E, you said a little squiggly." - }, - { - "start": "05:56.16", - "stop": "05:57.16", - "speaker": "Tutor", - "dialogue": "What do you think is going on?" - }, - { - "start": "05:57.16", - "stop": "05:59.44", - "speaker": "Tutor", - "dialogue": "What does that squiggly represent?" - }, - { - "start": "05:59.44", - "stop": "06:08.32", - "speaker": "Student", - "dialogue": "Maybe like you're driving through roads that have a lot of turns, or you could be in traffic because you're not going at a constant speed." - }, - { - "start": "06:08.32", - "stop": "06:14.76", - "speaker": "Tutor", - "dialogue": "Oh, so the other places are a constant speed, but D and E is not?" - }, - { - "start": "06:14.76", - "stop": "06:17.20", - "speaker": "Tutor", - "dialogue": "I believe so." - }, - { - "start": "06:17.20", - "stop": "06:23.88", - "speaker": "Tutor", - "dialogue": "Does believe so mean like, yeah, I'm certain, or I think so, but I would need to think about that some more to be certain?" - }, - { - "start": "06:23.88", - "stop": "06:26.52", - "speaker": "Student", - "dialogue": "I think so, but I would need to think about it." - }, - { - "start": "06:26.52", - "stop": "06:27.52", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "06:27.52", - "stop": "06:29.72", - "speaker": "Tutor", - "dialogue": "So we'll come back to that." - }, - { - "start": "06:29.72", - "stop": "06:37.44", - "speaker": "Tutor", - "dialogue": "D to E maybe has something to do with traffic or turns or something about constant or non-constant." - }, - { - "start": "06:37.44", - "stop": "06:41.08", - "speaker": "Tutor", - "dialogue": "And then E to F, at first you said 20, and then you changed your mind." - }, - { - "start": "06:41.08", - "stop": "06:42.08", - "speaker": "Tutor", - "dialogue": "Tell me what you were thinking." - }, - { - "start": "06:42.08", - "stop": "06:54.92", - "speaker": "Student", - "dialogue": "Because I accidentally thought it was, because I saw one of those, like one bar space, so I thought it was a whole hour, but it's just half an hour." - }, - { - "start": "06:54.92", - "stop": "07:00.40", - "speaker": "Student", - "dialogue": "And since we go up by 20 miles in half an hour, that means it's 40 miles per hour." - }, - { - "start": "07:00.40", - "stop": "07:04.60", - "speaker": "Tutor", - "dialogue": "You had to calculate it to the unit rate per one hour?" - }, - { - "start": "07:04.60", - "stop": "07:13.36", - "speaker": "Student", - "dialogue": "Yeah, that's because since we're counting in arrows at the bottom, I'm just going to do it per hour." - }, - { - "start": "07:13.36", - "stop": "07:14.36", - "speaker": "Tutor", - "dialogue": "I see." - }, - { - "start": "07:14.36", - "stop": "07:15.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "07:15.36", - "stop": "07:21.28", - "speaker": "Tutor", - "dialogue": "Now, taking a look at the map and the graph, describe what's happening during each stage of the journey." - }, - { - "start": "07:21.28", - "stop": "07:24.80", - "speaker": "Tutor", - "dialogue": "You talked about it on the graph already, but what's going on on the map?" - }, - { - "start": "07:24.80", - "stop": "07:30.16", - "speaker": "Tutor", - "dialogue": "And you can label where you think these things are on the map as well." - }, - { - "start": "07:30.16", - "stop": "08:08.60", - "speaker": "Student", - "dialogue": "So I think, like, so you're going maybe, so maybe like here, you keep on driving for a whole hour, that's where you would get the first part, A to B. So this would be, and this would be B. Then you might, since you're not moving at all for half an hour, then this could also be, you could also put C here, and that's where you're taking a break." - }, - { - "start": "08:08.60", - "stop": "08:30.56", - "speaker": "Student", - "dialogue": "And then here, you drive to maybe around here, so I would say D. And then here, I'm going to put E, because I believe this squiggly line could be like traffic through New York City." - }, - { - "start": "08:30.56", - "stop": "08:35.72", - "speaker": "Student", - "dialogue": "So the squiggly line would be happening around like this area." - }, - { - "start": "08:35.72", - "stop": "08:39.20", - "speaker": "Student", - "dialogue": "And then here at the end, you have F. Okay." - }, - { - "start": "08:39.20", - "stop": "08:42.72", - "speaker": "Student", - "dialogue": "Which is your destination." - }, - { - "start": "08:42.72", - "stop": "08:46.12", - "speaker": "Tutor", - "dialogue": "So you talked about D and E again." - }, - { - "start": "08:46.12", - "stop": "08:50.28", - "speaker": "Tutor", - "dialogue": "I'm going to add some things here, because you've talked about speed." - }, - { - "start": "08:50.28", - "stop": "09:00.40", - "speaker": "Student", - "dialogue": "And I believe that D and E is probably traffic, because you're going through New York City, so you have a ton of traffic." - }, - { - "start": "09:00.40", - "stop": "09:01.40", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "09:01.40", - "stop": "09:11.24", - "speaker": "Tutor", - "dialogue": "How can you be certain that squiggly line represents traffic by just looking at what it keeps track of in this graph?" - }, - { - "start": "09:11.24", - "stop": "09:29.16", - "speaker": "Student", - "dialogue": "Because first of all, the constant speed looks slower than in the other parts of the graph, and also, and like at one point, you're going a bit faster, and at one point, you're stopping, and then at one point, you're going faster." - }, - { - "start": "09:29.16", - "stop": "09:33.84", - "speaker": "Tutor", - "dialogue": "So from, let me put these up here just to make sure I'm understanding you." - }, - { - "start": "09:33.84", - "stop": "09:36.84", - "speaker": "Tutor", - "dialogue": "Let me type these." - }, - { - "start": "09:36.84", - "stop": "10:03.44", - "speaker": "Tutor", - "dialogue": "Okay, so you've talked about a few of these words as well, so I'm just going to keep them up here to make sure I'm understanding your thinking." - }, - { - "start": "10:03.44", - "stop": "10:06.64", - "speaker": "Tutor", - "dialogue": "So you said it's going a bit faster, it's going a bit slower." - }, - { - "start": "10:06.64", - "stop": "10:13.40", - "speaker": "Tutor", - "dialogue": "I'm going to challenge you to describe what is the it, what's the thing?" - }, - { - "start": "10:13.40", - "stop": "10:14.40", - "speaker": "Student", - "dialogue": "The car." - }, - { - "start": "10:14.40", - "stop": "10:15.40", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "10:15.40", - "stop": "10:22.44", - "speaker": "Tutor", - "dialogue": "Now I want you to be able to describe from D to E, what's going on with each of these things we're keeping track of." - }, - { - "start": "10:22.44", - "stop": "10:38.04", - "speaker": "Tutor", - "dialogue": "So you said we have distance in miles on this graph, we have time in hours, we have speed, which we can think about in units of miles per hour, and each of these things, these variables can be increasing, decreasing, or staying the same." - }, - { - "start": "10:38.04", - "stop": "10:43.88", - "speaker": "Tutor", - "dialogue": "So can you describe what's happening from D to E using these purple power words?" - }, - { - "start": "10:43.88", - "stop": "11:10.08", - "speaker": "Student", - "dialogue": "So I would say that the speed is decreasing because the constant speed from earlier compared to earlier now is slower, because you can see this one goes up three of these lines in a whole hour, while here it goes up five." - }, - { - "start": "11:10.08", - "stop": "11:38.52", - "speaker": "Student", - "dialogue": "And also distance is decreasing because if you have a slower speed, that means you're going to travel less miles in the amount of time you have here, which is an hour between D and E. And time also stays the same because, well, you can't move time." - }, - { - "start": "11:38.52", - "stop": "11:41.00", - "speaker": "Student", - "dialogue": "It's still an hour." - }, - { - "start": "11:41.00", - "stop": "11:47.40", - "speaker": "Tutor", - "dialogue": "So you were talking about D to E and how it is changing or staying the same in comparison to C to D." - }, - { - "start": "11:47.40", - "stop": "11:48.40", - "speaker": "Student", - "dialogue": "Mm-hmm." - }, - { - "start": "11:48.40", - "stop": "11:49.40", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "11:49.40", - "stop": "11:50.40", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "11:50.40", - "stop": "11:55.80", - "speaker": "Tutor", - "dialogue": "So if you found the constant speed from D to E, so that means if you found the average speed from D to E, it would be slower?" - }, - { - "start": "11:55.80", - "stop": "11:57.40", - "speaker": "Student", - "dialogue": "It would be slower than C to D." - }, - { - "start": "11:57.40", - "stop": "11:58.40", - "speaker": "Tutor", - "dialogue": "That makes sense." - }, - { - "start": "11:58.40", - "stop": "11:59.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "11:59.40", - "stop": "12:00.40", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "12:00.40", - "stop": "12:07.96", - "speaker": "Tutor", - "dialogue": "Now describe just D to E. Is the distance increasing, decreasing, or staying the same in just the segment from D to E?" - }, - { - "start": "12:07.96", - "stop": "12:14.96", - "speaker": "Student", - "dialogue": "Well, it's increasing because you're going from 100 miles to 130 miles." - }, - { - "start": "12:14.96", - "stop": "12:15.96", - "speaker": "Tutor", - "dialogue": "And what about time?" - }, - { - "start": "12:15.96", - "stop": "12:21.44", - "speaker": "Student", - "dialogue": "Time is also increasing because you're going from two and a half hours to three and a half hours." - }, - { - "start": "12:21.44", - "stop": "12:22.44", - "speaker": "Student", - "dialogue": "I messed up a bit earlier." - }, - { - "start": "12:22.44", - "stop": "12:24.12", - "speaker": "Tutor", - "dialogue": "Ah, I got you." - }, - { - "start": "12:24.12", - "stop": "12:25.12", - "speaker": "Tutor", - "dialogue": "No worries." - }, - { - "start": "12:25.12", - "stop": "12:27.92", - "speaker": "Tutor", - "dialogue": "And then what about speed?" - }, - { - "start": "12:27.92", - "stop": "12:45.32", - "speaker": "Student", - "dialogue": "Speed is decreasing, but it's not decreasing too much because you could see it's decreased from C to D. And it almost looks like at one point it's going a bit faster." - }, - { - "start": "12:45.32", - "stop": "13:07.60", - "speaker": "Student", - "dialogue": "For example, from here to here, you travel around, you travel 20 miles in half an hour, but then from here to here, you only travel 10 miles in half an hour." - }, - { - "start": "13:07.60", - "stop": "13:10.36", - "speaker": "Student", - "dialogue": "That means the speed is decreasing." - }, - { - "start": "13:10.36", - "stop": "13:11.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "13:11.36", - "stop": "13:14.92", - "speaker": "Tutor", - "dialogue": "So from D to E, the speed is not staying the same." - }, - { - "start": "13:14.92", - "stop": "13:16.48", - "speaker": "Tutor", - "dialogue": "It's varying." - }, - { - "start": "13:16.48", - "stop": "13:18.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "13:18.28", - "stop": "13:23.72", - "speaker": "Tutor", - "dialogue": "From C to D, is the speed staying the same or is it varying?" - }, - { - "start": "13:23.72", - "stop": "13:30.84", - "speaker": "Student", - "dialogue": "Yeah, it's a straight line, so that means it's staying the same and it's going at 50 miles per hour." - }, - { - "start": "13:30.84", - "stop": "13:34.16", - "speaker": "Student", - "dialogue": "So yeah, it's staying the same." - }, - { - "start": "13:34.16", - "stop": "13:35.16", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "13:35.16", - "stop": "13:37.60", - "speaker": "Tutor", - "dialogue": "So from C to D, it's going 50 miles an hour, that entire section?" - }, - { - "start": "13:37.60", - "stop": "13:44.28", - "speaker": "Student", - "dialogue": "Yeah, it's going from C to D. Yes, it's going from what I see on the graph." - }, - { - "start": "13:44.28", - "stop": "13:48.56", - "speaker": "Student", - "dialogue": "I see that it's going at 50 miles per hour at a constant speed." - }, - { - "start": "13:48.56", - "stop": "13:49.56", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "13:49.56", - "stop": "13:51.36", - "speaker": "Tutor", - "dialogue": "You do a really good job of explaining how you're thinking about it." - }, - { - "start": "13:51.36", - "stop": "13:52.36", - "speaker": "Tutor", - "dialogue": "This is cool." - }, - { - "start": "13:52.36", - "stop": "13:53.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "13:53.36", - "stop": "13:59.36", - "speaker": "Tutor", - "dialogue": "Now I'm going to uncover something else." - }, - { - "start": "13:59.36", - "stop": "14:08.76", - "speaker": "Tutor", - "dialogue": "And this time you're going to sketch a graph of how time is changing and how speed is changing." - }, - { - "start": "14:08.76", - "stop": "14:11.36", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "14:11.36", - "stop": "14:15.36", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "14:15.36", - "stop": "14:18.84", - "speaker": "Student", - "dialogue": "It's just..." - }, - { - "start": "15:09.44", - "stop": "15:22.92", - "speaker": "Tutor", - "dialogue": "What are you thinking about?" - }, - { - "start": "15:22.92", - "stop": "15:30.40", - "speaker": "Student", - "dialogue": "Is there any chance you could switch time so it's on the bottom and then speed so it's where the time is?" - }, - { - "start": "15:30.40", - "stop": "15:33.08", - "speaker": "Tutor", - "dialogue": "How come your mind wants to change that?" - }, - { - "start": "15:33.08", - "stop": "15:44.96", - "speaker": "Student", - "dialogue": "I think it's easier to understand the graph then because if you do it the way it's happening right now, the graph would look like something like this." - }, - { - "start": "15:44.96", - "stop": "15:52.00", - "speaker": "Student", - "dialogue": "Well if you switched it around, it would look more like something like this." - }, - { - "start": "15:52.00", - "stop": "15:54.96", - "speaker": "Tutor", - "dialogue": "So you're saying I'm used to seeing time on the x-axis." - }, - { - "start": "15:54.96", - "stop": "15:55.96", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "15:55.96", - "stop": "16:00.48", - "speaker": "Tutor", - "dialogue": "And so I like when graphs look a certain way and this way is making me feel uncomfortable." - }, - { - "start": "16:00.48", - "stop": "16:12.04", - "speaker": "Student", - "dialogue": "Yeah, it's more relatable because I usually see time on the x-axis more often." - }, - { - "start": "16:12.04", - "stop": "16:13.04", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "16:13.04", - "stop": "16:16.24", - "speaker": "Tutor", - "dialogue": "And that's how it usually is, especially in school math." - }, - { - "start": "16:16.24", - "stop": "16:23.76", - "speaker": "Tutor", - "dialogue": "But for graphs, a graph just talks about how one thing is changing here and we describe how it's changing." - }, - { - "start": "16:23.76", - "stop": "16:26.60", - "speaker": "Tutor", - "dialogue": "Is it increasing, decreasing, or staying the same?" - }, - { - "start": "16:26.60", - "stop": "16:30.08", - "speaker": "Tutor", - "dialogue": "And then on this axis, there's another thing that's changing." - }, - { - "start": "16:30.08", - "stop": "16:33.80", - "speaker": "Tutor", - "dialogue": "And the graph describes how it's increasing, decreasing, or staying the same." - }, - { - "start": "16:33.80", - "stop": "16:38.04", - "speaker": "Tutor", - "dialogue": "And then what's in the middle is how the two things are changing in relation to each other." - }, - { - "start": "16:38.04", - "stop": "16:47.50", - "speaker": "Tutor", - "dialogue": "So if it's making your brain feel a little bit uncomfortable, I like that because that means it's making your brain exercise a little bit right now to coordinate these two things." - }, - { - "start": "16:47.50", - "stop": "16:54.08", - "speaker": "Tutor", - "dialogue": "So let go of what the graph should look like because of what you've seen before and that time is on the x-axis." - }, - { - "start": "16:54.08", - "stop": "17:00.68", - "speaker": "Tutor", - "dialogue": "What would this graph look like if we graphed these two things together?" - }, - { - "start": "17:00.68", - "stop": "17:05.60", - "speaker": "Student", - "dialogue": "It would look like..." - }, - { - "start": "17:05.60", - "stop": "17:08.28", - "speaker": "Tutor", - "dialogue": "And I know you already did a brief sketch of it." - }, - { - "start": "17:08.28", - "stop": "17:15.68", - "speaker": "Tutor", - "dialogue": "The next thing I'm going to ask you to do is label where is A, where is B, where is C, and so on." - }, - { - "start": "17:15.68", - "stop": "17:21.08", - "speaker": "Tutor", - "dialogue": "And I'm going to ask you, how do you know?" - }, - { - "start": "21:17.62", - "stop": "21:37.90", - "speaker": "Tutor", - "dialogue": "All right, stop right there because we're going to look at just these two sections first." - }, - { - "start": "21:37.90", - "stop": "21:38.90", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "21:38.90", - "stop": "21:51.42", - "speaker": "Tutor", - "dialogue": "So if I can summarize what I think you were doing by what you were drawing, you have a point there and that point represents the line segment DE or AB from O'Leaner." - }, - { - "start": "21:51.42", - "stop": "21:57.42", - "speaker": "Tutor", - "dialogue": "Okay, so you're saying AB is 50 miles at one hour?" - }, - { - "start": "21:57.42", - "stop": "22:02.38", - "speaker": "Student", - "dialogue": "Well, it's 50 miles per hour at one hour." - }, - { - "start": "22:02.38", - "stop": "22:11.50", - "speaker": "Tutor", - "dialogue": "So if we look over here, is the car traveling 50 miles per hour at the one hour mark only?" - }, - { - "start": "22:11.50", - "stop": "22:20.78", - "speaker": "Student", - "dialogue": "No, it's also traveling by that much at the one and a half to a two and a half hour, which is line segment CD." - }, - { - "start": "22:20.78", - "stop": "22:24.06", - "speaker": "Student", - "dialogue": "That's why it's also on a 50 miles per hour." - }, - { - "start": "22:24.06", - "stop": "22:25.06", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "22:25.06", - "stop": "22:33.90", - "speaker": "Tutor", - "dialogue": "At point A, so from A to B, this line is also a straight line like it was from C to D." - }, - { - "start": "22:33.90", - "stop": "22:34.90", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "22:34.90", - "stop": "22:39.78", - "speaker": "Tutor", - "dialogue": "And we haven't really talked about A to B yet, so I want to understand how you're thinking about that." - }, - { - "start": "22:39.78", - "stop": "22:49.22", - "speaker": "Tutor", - "dialogue": "Is the speed of the car from A to B on the map, is it changing or staying the same?" - }, - { - "start": "22:49.22", - "stop": "23:09.86", - "speaker": "Student", - "dialogue": "Based off of that, based off of the map and the graph, I believe it's staying the same because for here, if you look here, you have a constant speed because it's a straight line from zero, zero to one hour and 50 miles." - }, - { - "start": "23:09.86", - "stop": "23:17.74", - "speaker": "Student", - "dialogue": "So if you do 50 miles divided by one hour, it'd be 50 miles for every hour." - }, - { - "start": "23:17.74", - "stop": "23:20.78", - "speaker": "Student", - "dialogue": "So here you have a constant speed from A to B." - }, - { - "start": "23:20.78", - "stop": "23:33.46", - "speaker": "Tutor", - "dialogue": "So if it's a constant speed from A to B, does that mean the car is going 50 miles an hour this entire section of the trip or just at point B?" - }, - { - "start": "23:33.46", - "stop": "23:40.34", - "speaker": "Student", - "dialogue": "No, it's going through that section, the line segment A, B." - }, - { - "start": "23:40.34", - "stop": "23:42.26", - "speaker": "Tutor", - "dialogue": "So this entire section of the trip?" - }, - { - "start": "23:42.26", - "stop": "23:44.90", - "speaker": "Student", - "dialogue": "Yes, it's going 50 miles per hour." - }, - { - "start": "23:44.90", - "stop": "23:45.90", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "23:45.90", - "stop": "23:51.58", - "speaker": "Tutor", - "dialogue": "So that means 10 minutes into the trip, it's going 50 miles an hour, 30 minutes into the trip?" - }, - { - "start": "23:51.58", - "stop": "23:58.94", - "speaker": "Student", - "dialogue": "Yeah, it's still going 50 miles per hour, it just hasn't reached 50 miles in distance yet because it hasn't been an hour." - }, - { - "start": "23:58.94", - "stop": "23:59.94", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "23:59.94", - "stop": "24:19.46", - "speaker": "Tutor", - "dialogue": "So if our graph over here is keeping track of how fast the car is going and how long it's traveling at that speed, from A to B, does what you drew here, is it similar or different to what the graph and the map are saying is happening?" - }, - { - "start": "24:19.46", - "stop": "24:36.14", - "speaker": "Student", - "dialogue": "Yeah, because here you could see that from zero, or wait, from here, it's going from this point over here to here." - }, - { - "start": "24:36.14", - "stop": "24:40.74", - "speaker": "Student", - "dialogue": "So it's 50 miles per hour and then there's one hour." - }, - { - "start": "24:40.74", - "stop": "24:41.74", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "24:41.74", - "stop": "24:43.78", - "speaker": "Student", - "dialogue": "So for one hour, it's going 50 miles per hour." - }, - { - "start": "24:43.78", - "stop": "24:44.90", - "speaker": "Tutor", - "dialogue": "I'm going to go back over here." - }, - { - "start": "24:44.90", - "stop": "24:47.90", - "speaker": "Tutor", - "dialogue": "You told me 10 minutes into the trip, 50 miles an hour." - }, - { - "start": "24:47.90", - "stop": "24:48.90", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "24:48.90", - "stop": "25:01.54", - "speaker": "Tutor", - "dialogue": "So 10 minutes into the trip, 30 minutes into the trip." - }, - { - "start": "25:01.54", - "stop": "25:07.38", - "speaker": "Tutor", - "dialogue": "Here you're telling me 10 minutes into the trip, the car is going like 10 miles an hour." - }, - { - "start": "25:07.38", - "stop": "25:24.70", - "speaker": "Student", - "dialogue": "No, because that's not what I meant to show, because I'm trying to show that where the point is, it's where it's showing, but it's actually still going 50." - }, - { - "start": "25:24.70", - "stop": "25:35.58", - "speaker": "Student", - "dialogue": "This is the miles per hour, so it would show the other things, the other line segments, how fast they're going." - }, - { - "start": "25:35.58", - "stop": "25:42.02", - "speaker": "Student", - "dialogue": "So CD 50, EF, I think that's 40, D 30." - }, - { - "start": "25:42.02", - "stop": "25:43.02", - "speaker": "Tutor", - "dialogue": "I gotcha." - }, - { - "start": "25:43.02", - "stop": "25:54.10", - "speaker": "Tutor", - "dialogue": "And that's why I asked right at those points, because what I see here is at a single point in time from A to B, the car is going 50 miles an hour." - }, - { - "start": "25:54.10", - "stop": "26:01.14", - "speaker": "Tutor", - "dialogue": "But I'm confused because over here you said the car should be going 50 miles an hour for this entire first hour of the trip." - }, - { - "start": "26:01.14", - "stop": "26:04.46", - "speaker": "Student", - "dialogue": "Yeah, it's going for the entire first hour." - }, - { - "start": "26:04.46", - "stop": "26:14.14", - "speaker": "Tutor", - "dialogue": "But over here you show the speed is increasing gradually during the first hour of the trip until it gets to 50 miles an hour." - }, - { - "start": "26:14.14", - "stop": "26:15.14", - "speaker": "Student", - "dialogue": "Yeah, that's wrong." - }, - { - "start": "26:15.14", - "stop": "26:17.14", - "speaker": "Tutor", - "dialogue": "Oh, you want to revise your thinking?" - }, - { - "start": "26:17.14", - "stop": "26:24.42", - "speaker": "Student", - "dialogue": "I just don't know how I would be able to show it on the graph." - }, - { - "start": "26:24.42", - "stop": "26:25.42", - "speaker": "Student", - "dialogue": "Would it be a line graph?" - }, - { - "start": "26:25.42", - "stop": "26:30.42", - "speaker": "Student", - "dialogue": "Can I do it like this?" - }, - { - "start": "26:30.42", - "stop": "26:35.10", - "speaker": "Tutor", - "dialogue": "All right, let's test it." - }, - { - "start": "26:35.10", - "stop": "26:36.10", - "speaker": "Tutor", - "dialogue": "So you made another prediction." - }, - { - "start": "26:36.10", - "stop": "26:38.10", - "speaker": "Tutor", - "dialogue": "This is like when you're writing a paper, right?" - }, - { - "start": "26:38.10", - "stop": "26:43.90", - "speaker": "Tutor", - "dialogue": "You wrote a rough draft, then you revised it, and we're going to go back and reread it and see if we want to change anything." - }, - { - "start": "26:43.90", - "stop": "26:48.50", - "speaker": "Tutor", - "dialogue": "So now you're saying, okay, first I showed the speed gradually increasing." - }, - { - "start": "26:48.50", - "stop": "26:49.50", - "speaker": "Tutor", - "dialogue": "That's not right." - }, - { - "start": "26:49.50", - "stop": "26:51.34", - "speaker": "Tutor", - "dialogue": "I'm going to revise my thinking." - }, - { - "start": "26:51.34", - "stop": "26:53.66", - "speaker": "Tutor", - "dialogue": "Now it's going to have to be maybe a straight line." - }, - { - "start": "26:53.66", - "stop": "26:57.22", - "speaker": "Tutor", - "dialogue": "So you try this and let's test it." - }, - { - "start": "26:57.22", - "stop": "27:01.94", - "speaker": "Tutor", - "dialogue": "10 minutes into the trip." - }, - { - "start": "27:01.94", - "stop": "27:03.90", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "27:03.90", - "stop": "27:09.74", - "speaker": "Student", - "dialogue": "Well, from what I'm showing, it's still 10 miles per hour." - }, - { - "start": "27:09.74", - "stop": "27:18.66", - "speaker": "Tutor", - "dialogue": "So how can you show for the entire first hour the car traveling 50 miles an hour?" - }, - { - "start": "27:18.66", - "stop": "27:26.58", - "speaker": "Student", - "dialogue": "I mean, you could show it like this, but I don't think that would really, like a vertical thing like that." - }, - { - "start": "27:26.58", - "stop": "27:33.42", - "speaker": "Student", - "dialogue": "I don't know if that looks accurate to a regular graph." - }, - { - "start": "27:33.42", - "stop": "27:34.42", - "speaker": "Tutor", - "dialogue": "And I'm going to clarify." - }, - { - "start": "27:34.42", - "stop": "27:38.38", - "speaker": "Tutor", - "dialogue": "It looks accurate to a regular school graph that you've seen so far?" - }, - { - "start": "27:38.38", - "stop": "27:39.38", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "27:39.38", - "stop": "27:42.74", - "speaker": "Tutor", - "dialogue": "Yeah, you may not have seen a graph like this." - }, - { - "start": "27:42.74", - "stop": "27:44.10", - "speaker": "Tutor", - "dialogue": "What is this line showing?" - }, - { - "start": "27:44.10", - "stop": "27:46.74", - "speaker": "Tutor", - "dialogue": "Because we're practicing keeping track of what graphs represent." - }, - { - "start": "27:46.74", - "stop": "27:52.06", - "speaker": "Student", - "dialogue": "Yeah, it's showing that it's going 50 miles per hour for this entire hour." - }, - { - "start": "27:52.06", - "stop": "27:53.06", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "27:53.06", - "stop": "27:54.06", - "speaker": "Tutor", - "dialogue": "So are you convinced?" - }, - { - "start": "27:54.06", - "stop": "27:57.02", - "speaker": "Tutor", - "dialogue": "Or do you need some more time to think?" - }, - { - "start": "27:57.02", - "stop": "27:59.82", - "speaker": "Student", - "dialogue": "I think this one should be right." - }, - { - "start": "27:59.82", - "stop": "28:01.32", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "28:01.32", - "stop": "28:04.66", - "speaker": "Tutor", - "dialogue": "Do you want to add to or revise any other segments?" - }, - { - "start": "28:04.66", - "stop": "28:09.38", - "speaker": "Student", - "dialogue": "Well, here you would have like this." - }, - { - "start": "28:09.38", - "stop": "28:12.90", - "speaker": "Student", - "dialogue": "And here you would also have like this." - }, - { - "start": "28:12.90", - "stop": "28:15.06", - "speaker": "Student", - "dialogue": "And here would be like this." - }, - { - "start": "28:15.06", - "stop": "28:18.06", - "speaker": "Student", - "dialogue": "And then this would be like..." - }, - { - "start": "28:18.06", - "stop": "28:19.06", - "speaker": "Student", - "dialogue": "Oh, wait." - }, - { - "start": "28:19.06", - "stop": "28:20.06", - "speaker": "Student", - "dialogue": "I'm sorry." - }, - { - "start": "28:20.06", - "stop": "28:21.06", - "speaker": "Student", - "dialogue": "This is wrong." - }, - { - "start": "28:21.06", - "stop": "28:41.50", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "28:41.50", - "stop": "29:11.14", - "speaker": "Tutor", - "dialogue": "How come you erased your lines that went all the way down to the x-axis?" - }, - { - "start": "29:11.14", - "stop": "29:18.94", - "speaker": "Student", - "dialogue": "Because it's not going at that speed for the whole four hours." - }, - { - "start": "29:18.94", - "stop": "29:24.74", - "speaker": "Tutor", - "dialogue": "Ah, so you had to pay attention to how long it's traveling at that speed too?" - }, - { - "start": "29:24.74", - "stop": "29:25.66", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "29:25.66", - "stop": "29:38.02", - "speaker": "Tutor", - "dialogue": "Okay, so now I see AB here and BC here, which I think you're talking about this segment is representative of AB?" - }, - { - "start": "29:38.02", - "stop": "29:46.50", - "speaker": "Student", - "dialogue": "Yeah, that segment is representative of AB and that shows that it's going at 50 miles per hour for one hour." - }, - { - "start": "29:46.50", - "stop": "29:57.34", - "speaker": "Student", - "dialogue": "Then here at BC it shows that it's going for half an hour, so from 1 to 1.5 it's going at 0 miles per hour." - }, - { - "start": "29:57.34", - "stop": "30:05.82", - "speaker": "Student", - "dialogue": "Then for CD it shows that from 1.5 to 2.5 it's going at 50 miles per hour as well." - }, - { - "start": "30:05.82", - "stop": "30:14.42", - "speaker": "Student", - "dialogue": "And then here DE it's showing that from 2.5 to 3.5 it's going at 30 miles per hour." - }, - { - "start": "30:14.42", - "stop": "30:29.06", - "speaker": "Student", - "dialogue": "And this one, I'm sorry, this would be from, I believe this would be from 2.5 to 3.6?" - }, - { - "start": "30:29.06", - "stop": "30:43.38", - "speaker": "Student", - "dialogue": "No, yeah, this would be going from 30 miles per hour from 2.5 to 3.5 and then it would be going 40 miles per hour from 3.5 to 4." - }, - { - "start": "30:43.38", - "stop": "30:44.54", - "speaker": "Tutor", - "dialogue": "Ah, okay." - }, - { - "start": "30:44.54", - "stop": "31:03.70", - "speaker": "Tutor", - "dialogue": "Now I'm curious about just point B. Where, and I'll even put a big dot, so this point, point B. Where is that point on your graph?" - }, - { - "start": "31:03.70", - "stop": "31:14.54", - "speaker": "Student", - "dialogue": "Well, I have the entire line segment of BC here on the Y axis on 0 miles per hour." - }, - { - "start": "31:14.54", - "stop": "31:20.50", - "speaker": "Tutor", - "dialogue": "Yeah, and I see that you have AB over here, so that's why I'm curious." - }, - { - "start": "31:20.50", - "stop": "31:22.78", - "speaker": "Tutor", - "dialogue": "Where is point B?" - }, - { - "start": "31:22.78", - "stop": "31:26.10", - "speaker": "Tutor", - "dialogue": "Is that when the car is going 50 miles an hour?" - }, - { - "start": "31:26.10", - "stop": "31:30.74", - "speaker": "Tutor", - "dialogue": "Or is that when the car is going 0 miles an hour or something else?" - }, - { - "start": "31:30.74", - "stop": "31:38.74", - "speaker": "Student", - "dialogue": "Well point B would probably be on where it's going 0 miles per hour because it's the beginning of when it's going 0 miles per hour." - }, - { - "start": "31:38.74", - "stop": "31:43.74", - "speaker": "Tutor", - "dialogue": "Okay, so you're saying point B is here?" - }, - { - "start": "31:43.74", - "stop": "31:46.40", - "speaker": "Student", - "dialogue": "Uh, yes." - }, - { - "start": "31:46.40", - "stop": "31:50.74", - "speaker": "Tutor", - "dialogue": "But over here we still have to describe that this is line segment AB." - }, - { - "start": "31:50.74", - "stop": "31:54.70", - "speaker": "Student", - "dialogue": "Yeah, that's why I put a little line over AB." - }, - { - "start": "31:54.70", - "stop": "31:56.26", - "speaker": "Tutor", - "dialogue": "Yep, I gotcha." - }, - { - "start": "31:56.26", - "stop": "32:02.02", - "speaker": "Tutor", - "dialogue": "And the way that we can write it on a graph is point B is here." - }, - { - "start": "32:02.02", - "stop": "32:05.46", - "speaker": "Tutor", - "dialogue": "It just doesn't include it at 50 miles an hour." - }, - { - "start": "32:05.46", - "stop": "32:08.10", - "speaker": "Tutor", - "dialogue": "So do you know how to show that?" - }, - { - "start": "32:08.10", - "stop": "32:09.82", - "speaker": "Student", - "dialogue": "I don't think so." - }, - { - "start": "32:09.82", - "stop": "32:11.30", - "speaker": "Tutor", - "dialogue": "If you draw an open circle." - }, - { - "start": "32:11.30", - "stop": "32:12.30", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "32:12.30", - "stop": "32:16.86", - "speaker": "Tutor", - "dialogue": "Have you seen that before, like when you're graphing inequalities or something like that?" - }, - { - "start": "32:16.86", - "stop": "32:17.86", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "32:17.86", - "stop": "32:26.38", - "speaker": "Tutor", - "dialogue": "So that means these are all the points from A up to and infinitely close to B, but doesn't include B." - }, - { - "start": "32:26.38", - "stop": "32:27.38", - "speaker": "Student", - "dialogue": "Okay, I understand." - }, - { - "start": "32:27.38", - "stop": "32:32.72", - "speaker": "Tutor", - "dialogue": "At B, the car, you're saying that's the start of when it's going 0 miles an hour." - }, - { - "start": "32:32.72", - "stop": "32:34.98", - "speaker": "Tutor", - "dialogue": "So that would be a closed circle here." - }, - { - "start": "32:34.98", - "stop": "32:35.98", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "32:35.98", - "stop": "32:41.42", - "speaker": "Tutor", - "dialogue": "All right, where would point C be located and how could you show that on your graph?" - }, - { - "start": "32:41.42", - "stop": "32:48.14", - "speaker": "Student", - "dialogue": "So point C here you would have an open circle and then here where it's C, D you would have a closed circle." - }, - { - "start": "32:48.14", - "stop": "32:56.06", - "speaker": "Student", - "dialogue": "Because that's the beginning of it going another 50 miles an hour from line segment C to D." - }, - { - "start": "32:56.06", - "stop": "32:57.06", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "32:57.06", - "stop": "32:58.06", - "speaker": "Tutor", - "dialogue": "Show that." - }, - { - "start": "32:58.06", - "stop": "32:59.06", - "speaker": "Student", - "dialogue": "So it would be..." - }, - { - "start": "32:59.06", - "stop": "33:18.74", - "speaker": "Student", - "dialogue": "And then for..." - }, - { - "start": "33:18.74", - "stop": "33:37.26", - "speaker": "Tutor", - "dialogue": "If straight line..." - }, - { - "start": "34:18.60", - "stop": "34:24.38", - "speaker": "Student", - "dialogue": "or Okay." - }, - { - "start": "34:24.38", - "stop": "34:25.38", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "34:25.38", - "stop": "34:28.38", - "speaker": "Tutor", - "dialogue": "Do you know what kind of graph you just made?" - }, - { - "start": "34:28.38", - "stop": "34:34.38", - "speaker": "Tutor", - "dialogue": "Have you ever seen anything that looks kind of like this?" - }, - { - "start": "34:34.38", - "stop": "34:36.38", - "speaker": "Student", - "dialogue": "I don't think so, no." - }, - { - "start": "34:36.38", - "stop": "34:38.38", - "speaker": "Student", - "dialogue": "I don't think I've seen a graph like this." - }, - { - "start": "34:38.38", - "stop": "34:42.38", - "speaker": "Tutor", - "dialogue": "Have you heard the term piecewise?" - }, - { - "start": "34:42.38", - "stop": "34:46.38", - "speaker": "Student", - "dialogue": "Oh, I haven't done that yet, but I've heard of it before." - }, - { - "start": "34:46.38", - "stop": "34:50.38", - "speaker": "Tutor", - "dialogue": "That's what you just created, was a piecewise graph." - }, - { - "start": "34:50.38", - "stop": "34:51.38", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "34:51.38", - "stop": "35:00.38", - "speaker": "Tutor", - "dialogue": "Piecewise means, and that's why it made your brain feel a little bit funny, because it was like, but wait, graphs are supposed to have these connected lines, right?" - }, - { - "start": "35:00.38", - "stop": "35:07.38", - "speaker": "Tutor", - "dialogue": "And your first sketch, you did something like that, and then you were still trying to connect, even though there were line segments there." - }, - { - "start": "35:07.38", - "stop": "35:12.38", - "speaker": "Tutor", - "dialogue": "And sometimes the points of our graphs don't connect." - }, - { - "start": "35:12.38", - "stop": "35:17.38", - "speaker": "Tutor", - "dialogue": "There's these openings like this, and that was what you just created." - }, - { - "start": "35:17.38", - "stop": "35:25.38", - "speaker": "Tutor", - "dialogue": "And then when you do that, you have to know where is the point included, and where is it an open circle." - }, - { - "start": "35:25.38", - "stop": "35:26.38", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "35:26.38", - "stop": "35:27.38", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "35:27.38", - "stop": "35:28.38", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "35:28.38", - "stop": "35:45.38", - "speaker": "Tutor", - "dialogue": "So now when you get to, and normally, you're right, when you see them in school, they'll be more like this, which was how your brain wanted to do them also at first." - }, - { - "start": "35:45.38", - "stop": "35:52.38", - "speaker": "Student", - "dialogue": "Yeah, because that's how I did them so far, but my teacher didn't call that really like a piecewise." - }, - { - "start": "35:52.38", - "stop": "35:54.38", - "speaker": "Student", - "dialogue": "She called it a line graph." - }, - { - "start": "35:54.38", - "stop": "35:55.38", - "speaker": "Tutor", - "dialogue": "I see." - }, - { - "start": "35:55.38", - "stop": "35:56.38", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "35:56.38", - "stop": "36:03.38", - "speaker": "Tutor", - "dialogue": "So these will end up coming into play whenever you learn about things called piecewise functions and how to graph them." - }, - { - "start": "36:03.38", - "stop": "36:20.38", - "speaker": "Student", - "dialogue": "Yeah, because I remember my math teacher last year, she briefly showed me that, like, because I asked about if we're going to be doing piecewise functions that year, she showed me that they could look like this, and then like that." - }, - { - "start": "36:20.38", - "stop": "36:26.38", - "speaker": "Tutor", - "dialogue": "Yeah, and they'll start to look in all sorts of different ways than what you've seen before." - }, - { - "start": "36:26.38", - "stop": "36:36.38", - "speaker": "Tutor", - "dialogue": "So always, no matter what the situation is with a graph, think about what's the thing we're keeping track of over here, and how is it changing?" - }, - { - "start": "36:36.38", - "stop": "37:08.38", - "speaker": "Tutor", - "dialogue": "What's the thing we're keeping track of" - } -] \ No newline at end of file diff --git a/data/amber/6172022NN.json b/data/amber/6172022NN.json deleted file mode 100644 index 51099b7..0000000 --- a/data/amber/6172022NN.json +++ /dev/null @@ -1,6068 +0,0 @@ -[ - { - "start": "00:00.88", - "stop": "00:02.56", - "speaker": "Tutor", - "dialogue": "All right, cool, we are recording." - }, - { - "start": "00:02.64", - "stop": "00:03.60", - "speaker": "Student", - "dialogue": "Now okay?" - }, - { - "start": "00:03.80", - "stop": "00:09.28", - "speaker": "Tutor", - "dialogue": "You can leave the chat box open if you want, or you can use those arrows to minimize it if you want your screen to be bigger." - }, - { - "start": "00:09.84", - "stop": "00:10.12", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:10.96", - "stop": "00:12.84", - "speaker": "Tutor", - "dialogue": "Cause, most of what we will do is talking." - }, - { - "start": "00:13.44", - "stop": "00:14.52", - "speaker": "Student", - "dialogue": "All right, sounds good." - }, - { - "start": "00:14.72", - "stop": "00:17.76", - "speaker": "Tutor", - "dialogue": "Kem, All right, I am going to change the screen then." - }, - { - "start": "00:18.52", - "stop": "00:18.76", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "00:19.36", - "stop": "00:26.48", - "speaker": "Tutor", - "dialogue": "I take a look at what you see on the screen and then describe to me what you think is happening in this situation." - }, - { - "start": "00:28.16", - "stop": "00:31.68", - "speaker": "Student", - "dialogue": "Um, like in a mathematical standpoint, what the question would be asking?" - }, - { - "start": "00:32.08", - "stop": "00:34.68", - "speaker": "Tutor", - "dialogue": "Whatever it means to you, just what's going on in this situation." - }, - { - "start": "00:35.40", - "stop": "00:36.56", - "speaker": "Student", - "dialogue": "Um, well, it's a math." - }, - { - "start": "00:36.96", - "stop": "00:38.32", - "speaker": "Student", - "dialogue": "It shows I Gu." - }, - { - "start": "00:38.52", - "stop": "00:43.04", - "speaker": "Student", - "dialogue": "a car journey from Providence to New York, New Jersey through New York City." - }, - { - "start": "00:43.20", - "stop": "00:48.12", - "speaker": "Student", - "dialogue": "So I guess it's just showing the way that a car would go if it were to go through New York City." - }, - { - "start": "00:48.76", - "stop": "00:53.24", - "speaker": "Tutor", - "dialogue": "Okay, and then you started off by saying you want me to explain some mathematical things?" - }, - { - "start": "00:54.20", - "stop": "00:57.80", - "speaker": "Tutor", - "dialogue": "Hm, What could you describe as happening here mathematically?" - }, - { - "start": "00:59.08", - "stop": "01:06.16", - "speaker": "Student", - "dialogue": "I mean, I guess it would the amount of miles that it would take to get from New York to provnce to from New York City." - }, - { - "start": "01:07.80", - "stop": "01:10.12", - "speaker": "Tutor", - "dialogue": "The amount of miles say that again, so." - }, - { - "start": "01:10.32", - "stop": "01:16.64", - "speaker": "Student", - "dialogue": "Like the amount of miles that it would take to go from New York to Providence to like if you're traveling through New York City." - }, - { - "start": "01:17.76", - "stop": "01:21.20", - "speaker": "Tutor", - "dialogue": "Okay, so we could measure the amount of miles." - }, - { - "start": "01:21.76", - "stop": "01:21.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "01:22.40", - "stop": "01:24.52", - "speaker": "Tutor", - "dialogue": "What are some other things we might be able to measure?" - }, - { - "start": "01:25.40", - "stop": "01:28.92", - "speaker": "Student", - "dialogue": "The amount of gas that it would take get." - }, - { - "start": "01:29.04", - "stop": "01:30.80", - "speaker": "Tutor", - "dialogue": "There, that's a hot topic these days." - }, - { - "start": "01:33.20", - "stop": "01:33.36", - "speaker": "Student", - "dialogue": "Well." - }, - { - "start": "01:33.60", - "stop": "01:37.24", - "speaker": "Tutor", - "dialogue": "What are some things we would need to know if we wanted to figure out the amount of gas it would take?" - }, - { - "start": "01:38.20", - "stop": "01:44.88", - "speaker": "Student", - "dialogue": "Um, I guess the amount of gas that the car requires, like how much is a full tank for that car?" - }, - { - "start": "01:45.40", - "stop": "01:45.72", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "01:46.84", - "stop": "01:53.20", - "speaker": "Student", - "dialogue": "And I guess the amount that they fill it up every time they go to the like Ga gas station." - }, - { - "start": "01:54.04", - "stop": "01:59.76", - "speaker": "Tutor", - "dialogue": "Okay, so we could measure something related to how much gas it's using based on how many miles we're going." - }, - { - "start": "02:00.48", - "stop": "02:03.92", - "speaker": "Tutor", - "dialogue": "Mhm. Yeah, all right, is there anything else that we can measure in this situation?" - }, - { - "start": "02:05.16", - "stop": "02:21.32", - "speaker": "Student", - "dialogue": "Um, I mean, that's the only thing that comes to mind, but I mean you can also measure how many stops you would have to take for the gas or something of the sort, Anything along the lines of that, I guess, and." - }, - { - "start": "02:21.48", - "stop": "02:26.56", - "speaker": "Tutor", - "dialogue": "If you're traveling with a lot of kids, or that might be a higher number than if you're not, yeah." - }, - { - "start": "02:28.60", - "stop": "02:28.92", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "02:29.56", - "stop": "02:30.68", - "speaker": "Tutor", - "dialogue": "Cool now with." - }, - { - "start": "02:31.24", - "stop": "02:32.00", - "speaker": "Tutor", - "dialogue": "I'm going to." - }, - { - "start": "02:35.36", - "stop": "02:35.72", - "speaker": "Student", - "dialogue": "Remove." - }, - { - "start": "02:35.84", - "stop": "02:36.40", - "speaker": "Tutor", - "dialogue": "Something here?" - }, - { - "start": "02:40.08", - "stop": "02:40.12", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "02:40.24", - "stop": "02:42.36", - "speaker": "Tutor", - "dialogue": "Want you to look at the map and the graph?" - }, - { - "start": "02:44.40", - "stop": "02:45.00", - "speaker": "Student", - "dialogue": "Describe." - }, - { - "start": "02:45.08", - "stop": "02:52.08", - "speaker": "Tutor", - "dialogue": "And explain what is happening during each stage of the journey using the map and the graph." - }, - { - "start": "02:53.92", - "stop": "02:59.80", - "speaker": "Student", - "dialogue": "So, Um, in the first hour, they cover fifty miles." - }, - { - "start": "03:01.32", - "stop": "03:08.08", - "speaker": "Student", - "dialogue": "In the second hour they wait, so that's that's by ten." - }, - { - "start": "03:08.20", - "stop": "03:08.92", - "speaker": "Student", - "dialogue": "It's going so." - }, - { - "start": "03:11.88", - "stop": "03:11.92", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "03:12.24", - "stop": "03:14.60", - "speaker": "Student", - "dialogue": "By the second hour they cover eighty miles." - }, - { - "start": "03:15.44", - "stop": "03:24.00", - "speaker": "Student", - "dialogue": "By the third hour they cover one twenty miles, and by the fourth hour they cover just a bit over one fifty miles, So I guess" - }, - { - "start": "03:24.08", - "stop": "03:27.28", - "speaker": "Student", - "dialogue": "it's I think I might be asking for." - }, - { - "start": "03:27.80", - "stop": "03:29.60", - "speaker": "Student", - "dialogue": "Like what's maybe?" - }, - { - "start": "03:29.88", - "stop": "03:29.92", - "speaker": "Student", - "dialogue": "what?" - }, - { - "start": "03:30.68", - "stop": "03:38.52", - "speaker": "Student", - "dialogue": "The fastest interval of them going there is the amount of miles per hour they're going at." - }, - { - "start": "03:39.44", - "stop": "03:40.24", - "speaker": "Tutor", - "dialogue": "Okay, you might." - }, - { - "start": "03:40.52", - "stop": "03:42.88", - "speaker": "Tutor", - "dialogue": "so you're thinking we might have to figure something out." - }, - { - "start": "03:43.32", - "stop": "03:45.20", - "speaker": "Tutor", - "dialogue": "Yeah, relationship between miles and hours." - }, - { - "start": "03:45.80", - "stop": "03:46.08", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "03:46.92", - "stop": "03:49.16", - "speaker": "Tutor", - "dialogue": "Okay, and you said an interval." - }, - { - "start": "03:50.16", - "stop": "03:50.56", - "speaker": "Student", - "dialogue": "Yeah, what?" - }, - { - "start": "03:51.04", - "stop": "03:53.04", - "speaker": "Tutor", - "dialogue": "Can you help me understand what you mean by interval?" - }, - { - "start": "03:53.88", - "stop": "03:58.64", - "speaker": "Student", - "dialogue": "I mean kind of like from zero to one, one to two, kind of like that." - }, - { - "start": "03:59.40", - "stop": "04:01.12", - "speaker": "Tutor", - "dialogue": "So thinking about intervals of time?" - }, - { - "start": "04:01.68", - "stop": "04:01.72", - "speaker": "Tutor", - "dialogue": "Yeah?" - }, - { - "start": "04:02.24", - "stop": "04:02.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "04:03.00", - "stop": "04:07.56", - "speaker": "Tutor", - "dialogue": "Cool, Yup, and I want you to also think about intervals of the journey." - }, - { - "start": "04:08.52", - "stop": "04:19.48", - "speaker": "Tutor", - "dialogue": "So a section of journey from A to B, Oh, from b to c, C to D. Yeah, what do you notice about the intervals on the journey?" - }, - { - "start": "04:20.56", - "stop": "04:24.52", - "speaker": "Student", - "dialogue": "So from A to C, they're going in a very constant rate." - }, - { - "start": "04:24.68", - "stop": "04:31.32", - "speaker": "Student", - "dialogue": "They're going very like same speed, I guess, and then from B to C, they're not traveling any miles." - }, - { - "start": "04:31.40", - "stop": "04:37.16", - "speaker": "Student", - "dialogue": "They probably took a pit stop or something of the sort, and C to D. it's the same." - }, - { - "start": "04:38.00", - "stop": "04:39.16", - "speaker": "Student", - "dialogue": "It's both cons." - }, - { - "start": "04:39.32", - "stop": "04:49.72", - "speaker": "Student", - "dialogue": "it's also constant and from D to E, it's looks like they took some sort of stops 'cause it's not such a straight line as the A to B and Cd. D is." - }, - { - "start": "04:51.04", - "stop": "04:53.28", - "speaker": "Tutor", - "dialogue": "What do you understand constant to mean?" - }, - { - "start": "04:53.44", - "stop": "04:54.60", - "speaker": "Tutor", - "dialogue": "you've used that a couple of times." - }, - { - "start": "04:54.72", - "stop": "04:55.36", - "speaker": "Tutor", - "dialogue": "What does that mean?" - }, - { - "start": "04:56.00", - "stop": "04:58.12", - "speaker": "Student", - "dialogue": "Constant, meaning that it's meaning that it's like the same." - }, - { - "start": "04:58.24", - "stop": "05:00.68", - "speaker": "Student", - "dialogue": "It doesn't change, doesn't increase or decrease." - }, - { - "start": "05:01.44", - "stop": "05:03.84", - "speaker": "Tutor", - "dialogue": "What's the it that isn't changing?" - }, - { - "start": "05:05.16", - "stop": "05:05.84", - "speaker": "Student", - "dialogue": "The miles." - }, - { - "start": "05:07.60", - "stop": "05:13.84", - "speaker": "Tutor", - "dialogue": "So from A to B, Yeah, distance the car has traveled in miles doesn't change." - }, - { - "start": "05:15.68", - "stop": "05:17.44", - "speaker": "Student", - "dialogue": "From wait, from sorry." - }, - { - "start": "05:17.96", - "stop": "05:19.16", - "speaker": "Student", - "dialogue": "Which points did you say?" - }, - { - "start": "05:19.20", - "stop": "05:21.60", - "speaker": "Tutor", - "dialogue": "Yeah, cool, thank you and do that lots whenever you." - }, - { - "start": "05:21.84", - "stop": "05:27.20", - "speaker": "Tutor", - "dialogue": "Whenever you're unclear of what I'm asking or if you need more, think time, Okay, equal about that, Okay." - }, - { - "start": "05:27.44", - "stop": "05:27.84", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "05:28.68", - "stop": "05:35.28", - "speaker": "Tutor", - "dialogue": "So you said earlier on that, Yeah, from A to B, that interval is constant." - }, - { - "start": "05:35.88", - "stop": "05:44.16", - "speaker": "Student", - "dialogue": "Okay, oh, well, in this constant meaning that it's like the same rate that they're going at like they're going at the same speed." - }, - { - "start": "05:44.32", - "stop": "05:53.04", - "speaker": "Student", - "dialogue": "Kind of the line iss just the straight line as like D to E wouldn't be the same because it's not like a straight line." - }, - { - "start": "05:53.32", - "stop": "05:55.16", - "speaker": "Student", - "dialogue": "That's kind of my thinking, okay?" - }, - { - "start": "05:56.08", - "stop": "06:00.16", - "speaker": "Tutor", - "dialogue": "And how did you think about speed 'cause I don't see speed on this graph?" - }, - { - "start": "06:00.56", - "stop": "06:02.40", - "speaker": "Tutor", - "dialogue": "So how did you make?" - }, - { - "start": "06:02.52", - "stop": "06:04.76", - "speaker": "Tutor", - "dialogue": "I mean of A to Bs being the same speed." - }, - { - "start": "06:06.60", - "stop": "06:12.32", - "speaker": "Student", - "dialogue": "I'm I mean, from like zero to one hour, I just kind of felt it." - }, - { - "start": "06:12.56", - "stop": "06:16.36", - "speaker": "Student", - "dialogue": "It's faster than going like A to B is faster than going to B to C." - }, - { - "start": "06:18.08", - "stop": "06:18.12", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "06:18.52", - "stop": "06:39.16", - "speaker": "Student", - "dialogue": "And like from 'cause A to B, that's the fastest like interval from the letters here, like as compared to D to E, and B to C. And you, I guess you could kind of find the speed by looking at the distance and time that it took." - }, - { - "start": "06:40.16", - "stop": "06:41.40", - "speaker": "Tutor", - "dialogue": "Ah, because what is speed?" - }, - { - "start": "06:42.24", - "stop": "06:43.04", - "speaker": "Student", - "dialogue": "Miles per hour." - }, - { - "start": "06:43.96", - "stop": "06:49.20", - "speaker": "Tutor", - "dialogue": "So it's a relationship between the miles and the hours." - }, - { - "start": "06:50.20", - "stop": "06:52.40", - "speaker": "Tutor", - "dialogue": "Mmhm, So you said something about" - }, - { - "start": "06:52.72", - "stop": "06:56.20", - "speaker": "Tutor", - "dialogue": "It's not increasing or it's staying the same." - }, - { - "start": "06:56.88", - "stop": "06:57.80", - "speaker": "Tutor", - "dialogue": "A you are talking." - }, - { - "start": "06:58.44", - "stop": "07:01.08", - "speaker": "Tutor", - "dialogue": "I want you to be really clear on what do you mean" - }, - { - "start": "07:01.16", - "stop": "07:01.60", - "speaker": "Tutor", - "dialogue": "By the it?" - }, - { - "start": "07:02.24", - "stop": "07:03.76", - "speaker": "Tutor", - "dialogue": "I know you know in your head." - }, - { - "start": "07:04.48", - "stop": "07:13.12", - "speaker": "Tutor", - "dialogue": "Okayz, like when you're saying it, Are you talking about miles, or are you talking about ours, or are you talking about the relationship of miles to ours?" - }, - { - "start": "07:13.56", - "stop": "07:19.08", - "speaker": "Tutor", - "dialogue": "And are they all increasing or are they all decreasing, or are some doing different things at different times?" - }, - { - "start": "07:20.16", - "stop": "07:20.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "07:20.64", - "stop": "07:21.40", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "07:21.84", - "stop": "07:24.44", - "speaker": "Tutor", - "dialogue": "Yep, okay, so we're going to dig into it a little bit more." - }, - { - "start": "07:25.16", - "stop": "07:25.48", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "07:26.44", - "stop": "07:27.92", - "speaker": "Tutor", - "dialogue": "If we go back to the map now." - }, - { - "start": "07:28.96", - "stop": "07:29.28", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "07:29.48", - "stop": "07:31.88", - "speaker": "Tutor", - "dialogue": "Use your cursor to show me." - }, - { - "start": "07:33.56", - "stop": "07:33.72", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "07:33.84", - "stop": "07:36.80", - "speaker": "Tutor", - "dialogue": "Youse understand what the journey looks like." - }, - { - "start": "07:38.76", - "stop": "07:42.20", - "speaker": "Student", - "dialogue": "Wait, so like on the map, Yeah." - }, - { - "start": "07:42.64", - "stop": "07:44.68", - "speaker": "Tutor", - "dialogue": "So where does the car start?" - }, - { - "start": "07:44.96", - "stop": "07:45.96", - "speaker": "Tutor", - "dialogue": "Where does it end?" - }, - { - "start": "07:46.08", - "stop": "07:47.12", - "speaker": "Tutor", - "dialogue": "And what's happening?" - }, - { - "start": "07:48.04", - "stop": "07:54.00", - "speaker": "Student", - "dialogue": "I mean in okay, So car journey from Provence, So it starts, I would." - }, - { - "start": "07:54.12", - "stop": "07:54.56", - "speaker": "Student", - "dialogue": "Can you see?" - }, - { - "start": "07:54.60", - "stop": "07:55.92", - "speaker": "Tutor", - "dialogue": "My cursor, I sure can, Yup." - }, - { - "start": "07:56.12", - "stop": "08:03.36", - "speaker": "Student", - "dialogue": "Okay, so it starts here and then it goes down all the way to Newark?" - }, - { - "start": "08:03.84", - "stop": "08:06.16", - "speaker": "Student", - "dialogue": "Okay, I assume so that'd be point F." - }, - { - "start": "08:07.64", - "stop": "08:08.72", - "speaker": "Tutor", - "dialogue": "Ah, okay, cool label." - }, - { - "start": "08:08.76", - "stop": "08:10.00", - "speaker": "Tutor", - "dialogue": "it put point F there." - }, - { - "start": "08:10.92", - "stop": "08:19.20", - "speaker": "Student", - "dialogue": "So over here, F. Mhm, and I guess I'll put A over here." - }, - { - "start": "08:19.60", - "stop": "08:21.12", - "speaker": "Tutor", - "dialogue": "How did you know A was at the top?" - }, - { - "start": "08:21.20", - "stop": "08:22.80", - "speaker": "Tutor", - "dialogue": "Because A's at the bottom of the graph?" - }, - { - "start": "08:22.96", - "stop": "08:23.68", - "speaker": "Tutor", - "dialogue": "So how did you know that?" - }, - { - "start": "08:24.08", - "stop": "08:29.08", - "speaker": "Tutor", - "dialogue": "Really, we'll see how I see A down here, not up here." - }, - { - "start": "08:30.32", - "stop": "08:37.28", - "speaker": "Student", - "dialogue": "Yeah, but it says the map shows a car journey from Provnce, Rhode Island to New Yark, New Jersey." - }, - { - "start": "08:37.80", - "stop": "08:44.28", - "speaker": "Student", - "dialogue": "So how I was thinking about it is that since the journey starts in Provnce, it would be it would." - }, - { - "start": "08:44.44", - "stop": "08:45.00", - "speaker": "Student", - "dialogue": "that would be a." - }, - { - "start": "08:46.68", - "stop": "08:49.20", - "speaker": "Tutor", - "dialogue": "Right, and I am totally with you." - }, - { - "start": "08:50.16", - "stop": "08:52.04", - "speaker": "Tutor", - "dialogue": "Sometimes I will ask you questions." - }, - { - "start": "08:52.44", - "stop": "09:03.52", - "speaker": "Tutor", - "dialogue": "not because I think you're wrong, Because I want you to go deeper in your explanation, because when you go deeper in your explanation, it helps make sense of how all of this is related deeper." - }, - { - "start": "09:04.44", - "stop": "09:04.76", - "speaker": "Tutor", - "dialogue": "Mhm." - }, - { - "start": "09:04.80", - "stop": "09:05.08", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "09:05.56", - "stop": "09:08.80", - "speaker": "Tutor", - "dialogue": "so just because I ask a question, don't automatically assume that something's wrong." - }, - { - "start": "09:08.92", - "stop": "09:11.76", - "speaker": "Tutor", - "dialogue": "It's just okay, T more about how you're thinking okay?" - }, - { - "start": "09:12.92", - "stop": "09:12.96", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "09:14.04", - "stop": "09:14.72", - "speaker": "Tutor", - "dialogue": "I'm wondering." - }, - { - "start": "09:15.08", - "stop": "09:18.76", - "speaker": "Tutor", - "dialogue": "Yeah, I read up here that it starts in Providence and it ends in Newark." - }, - { - "start": "09:19.76", - "stop": "09:23.56", - "speaker": "Tutor", - "dialogue": "How did you know that was A and not F, because F is at the top here?" - }, - { - "start": "09:24.36", - "stop": "09:28.72", - "speaker": "Student", - "dialogue": "Um, I mean, in this case I didn't look at the at." - }, - { - "start": "09:28.84", - "stop": "09:31.08", - "speaker": "Student", - "dialogue": "like the plotting and the dots on the graph." - }, - { - "start": "09:31.52", - "stop": "09:32.88", - "speaker": "Student", - "dialogue": "instead, I looked at the question." - }, - { - "start": "09:33.16", - "stop": "09:48.64", - "speaker": "Student", - "dialogue": "Since it starts at, it says like car journey from Provnce, and whenever it says from, that's kind of the place of origin, and and then to Newark, So that's the destination and through New York City, so that obviously has to be in the center." - }, - { - "start": "09:49.44", - "stop": "09:53.20", - "speaker": "Tutor", - "dialogue": "But somehow you were looking at the graph because you could have put Z down here." - }, - { - "start": "09:54.64", - "stop": "09:54.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "09:55.24", - "stop": "10:01.00", - "speaker": "Tutor", - "dialogue": "So how did you know that it was F. and that's where it ended, and A was where it started, And you just said a very interesting word." - }, - { - "start": "10:01.24", - "stop": "10:02.56", - "speaker": "Tutor", - "dialogue": "You said place of origin." - }, - { - "start": "10:03.56", - "stop": "10:03.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "10:04.24", - "stop": "10:05.68", - "speaker": "Tutor", - "dialogue": "What else happens on a graph?" - }, - { - "start": "10:06.72", - "stop": "10:08.64", - "speaker": "Student", - "dialogue": "I guess the the end point." - }, - { - "start": "10:11.32", - "stop": "10:11.36", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "10:11.60", - "stop": "10:11.64", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "10:11.76", - "stop": "10:12.44", - "speaker": "Tutor", - "dialogue": "This point called." - }, - { - "start": "10:13.80", - "stop": "10:16.00", - "speaker": "Student", - "dialogue": "The origin, Thero, Zero, Yeah." - }, - { - "start": "10:16.44", - "stop": "10:22.00", - "speaker": "Tutor", - "dialogue": "Yeah, so even though our journey on our map goes top to?" - }, - { - "start": "10:22.48", - "stop": "10:22.52", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "10:23.16", - "stop": "10:27.36", - "speaker": "Tutor", - "dialogue": "Yeah, you knew that the origin on the graph started here." - }, - { - "start": "10:27.92", - "stop": "10:27.96", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "10:28.48", - "stop": "10:28.80", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "10:30.64", - "stop": "10:38.40", - "speaker": "Tutor", - "dialogue": "All right now, I'm going to do my cursor like you did on the map, and I want you to move your cursor over to the graph." - }, - { - "start": "10:39.96", - "stop": "10:40.28", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "10:41.32", - "stop": "10:48.04", - "speaker": "Tutor", - "dialogue": "Okay, so yep, so as I move here, I want you to show me where we would be on the graph." - }, - { - "start": "10:49.48", - "stop": "10:49.56", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "10:49.64", - "stop": "10:49.88", - "speaker": "Tutor", - "dialogue": "Right, So" - }, - { - "start": "10:50.00", - "stop": "10:51.24", - "speaker": "Tutor", - "dialogue": "if I'm right here, where are you" - }, - { - "start": "10:51.32", - "stop": "10:51.60", - "speaker": "Tutor", - "dialogue": "On the gra?" - }, - { - "start": "10:51.80", - "stop": "10:51.96", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "10:52.20", - "stop": "10:53.20", - "speaker": "Student", - "dialogue": "I, I'll be here." - }, - { - "start": "10:53.44", - "stop": "10:53.64", - "speaker": "Student", - "dialogue": "Yup." - }, - { - "start": "10:54.04", - "stop": "10:55.24", - "speaker": "Tutor", - "dialogue": "And if I'm here, where are you?" - }, - { - "start": "10:55.36", - "stop": "10:55.84", - "speaker": "Tutor", - "dialogue": "on the graph?" - }, - { - "start": "10:56.52", - "stop": "10:56.72", - "speaker": "Student", - "dialogue": "Here." - }, - { - "start": "10:56.92", - "stop": "10:59.28", - "speaker": "Tutor", - "dialogue": "All right, So now I'm going to get in the car." - }, - { - "start": "11:00.12", - "stop": "11:01.88", - "speaker": "Tutor", - "dialogue": "I'm gona start in Providence." - }, - { - "start": "11:02.20", - "stop": "11:02.40", - "speaker": "Tutor", - "dialogue": "Yep." - }, - { - "start": "11:03.08", - "stop": "11:03.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "11:03.52", - "stop": "11:04.72", - "speaker": "Tutor", - "dialogue": "And I'm going to start driving." - }, - { - "start": "11:07.44", - "stop": "11:07.48", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "11:07.60", - "stop": "11:08.48", - "speaker": "Tutor", - "dialogue": "Do I need to do there?" - }, - { - "start": "11:09.04", - "stop": "11:10.12", - "speaker": "Student", - "dialogue": "You're going to have to stop." - }, - { - "start": "11:10.52", - "stop": "11:11.76", - "speaker": "Tutor", - "dialogue": "How do you know I have to stop?" - }, - { - "start": "11:12.28", - "stop": "11:21.48", - "speaker": "Student", - "dialogue": "Cause, there's no increase on the distance, but the time is increasing, so that means that they must have taken a stop there for half an hour." - }, - { - "start": "11:21.84", - "stop": "11:28.04", - "speaker": "Tutor", - "dialogue": "Excellent job of talking about both variables and using those words of increasing, decreasing or staying the same." - }, - { - "start": "11:29.24", - "stop": "11:31.64", - "speaker": "Tutor", - "dialogue": "Okay, so I'm stopping and again, what?" - }, - { - "start": "11:32.64", - "stop": "11:33.92", - "speaker": "Student", - "dialogue": "And then we start again." - }, - { - "start": "11:34.32", - "stop": "11:34.56", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "11:35.72", - "stop": "11:59.84", - "speaker": "Student", - "dialogue": "And then I guess we're here at New York, I guess, and it's going to be a rocky or not very the same speed, so there'll be more stops, I guess, And then when you get to E, you just go to F, which is Newark." - }, - { - "start": "12:00.48", - "stop": "12:02.12", - "speaker": "Tutor", - "dialogue": "Okay, do I just go straight there?" - }, - { - "start": "12:03.40", - "stop": "12:06.36", - "speaker": "Student", - "dialogue": "I guess yeah, Eeda F is a a con" - }, - { - "start": "12:06.64", - "stop": "12:08.04", - "speaker": "Student", - "dialogue": "Like this is a straight line." - }, - { - "start": "12:08.72", - "stop": "12:11.96", - "speaker": "Tutor", - "dialogue": "So is it constant, miles or constant, Urs, or cons?" - }, - { - "start": "12:12.16", - "stop": "12:12.80", - "speaker": "Tutor", - "dialogue": "What's constant?" - }, - { - "start": "12:13.76", - "stop": "12:17.04", - "speaker": "Student", - "dialogue": "I'd say the miles and time." - }, - { - "start": "12:18.32", - "stop": "12:22.60", - "speaker": "Tutor", - "dialogue": "So both miles and time are increasing at a constant rate." - }, - { - "start": "12:23.56", - "stop": "12:23.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "12:24.88", - "stop": "12:27.32", - "speaker": "Tutor", - "dialogue": "And I can describe that then as the speed." - }, - { - "start": "12:28.68", - "stop": "12:28.92", - "speaker": "Tutor", - "dialogue": "Is it?" - }, - { - "start": "12:29.04", - "stop": "12:33.84", - "speaker": "Tutor", - "dialogue": "Yeah, okay, cool, um now." - }, - { - "start": "12:35.36", - "stop": "12:35.48", - "speaker": "Student", - "dialogue": "Let." - }, - { - "start": "12:35.56", - "stop": "12:38.52", - "speaker": "Tutor", - "dialogue": "Me think, 'cause you're doing such cool thinking." - }, - { - "start": "12:39.12", - "stop": "12:42.00", - "speaker": "Tutor", - "dialogue": "I wanta s to think about the next question I want to ask you." - }, - { - "start": "12:42.72", - "stop": "12:43.08", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "12:46.88", - "stop": "12:46.92", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "12:47.08", - "stop": "12:47.24", - "speaker": "Student", - "dialogue": "Dom." - }, - { - "start": "12:47.28", - "stop": "12:53.20", - "speaker": "Tutor", - "dialogue": "We do this, so yeah, let's label where do you think B would be on the map?" - }, - { - "start": "12:55.44", - "stop": "13:01.36", - "speaker": "Student", - "dialogue": "Um, oh, okay, uh, I guess somewhere around here, Mhm." - }, - { - "start": "13:02.76", - "stop": "13:03.84", - "speaker": "Tutor", - "dialogue": "Okayut." - }, - { - "start": "13:03.88", - "stop": "13:03.92", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "13:04.96", - "stop": "13:08.48", - "speaker": "Tutor", - "dialogue": "Put a dot where you think the B dot would be on the map." - }, - { - "start": "13:09.52", - "stop": "13:11.92", - "speaker": "Student", - "dialogue": "Wait on the graph." - }, - { - "start": "13:12.16", - "stop": "13:12.60", - "speaker": "Tutor", - "dialogue": "On the map." - }, - { - "start": "13:13.20", - "stop": "13:13.92", - "speaker": "Student", - "dialogue": "Oh, on the map, wait." - }, - { - "start": "13:14.00", - "stop": "13:15.32", - "speaker": "Student", - "dialogue": "So should I erase what I?" - }, - { - "start": "13:16.76", - "stop": "13:18.56", - "speaker": "Tutor", - "dialogue": "If you think that that's where B is, that's fine." - }, - { - "start": "13:18.64", - "stop": "13:23.28", - "speaker": "Tutor", - "dialogue": "I just see B floating off somewhere and so I A know what you're thinking about on the map." - }, - { - "start": "13:23.40", - "stop": "13:23.60", - "speaker": "Tutor", - "dialogue": "Where?" - }, - { - "start": "13:23.68", - "stop": "13:23.84", - "speaker": "Student", - "dialogue": "Is B?" - }, - { - "start": "13:24.12", - "stop": "13:25.92", - "speaker": "Student", - "dialogue": "I guess I'll say someweight here." - }, - { - "start": "13:27.84", - "stop": "13:29.28", - "speaker": "Tutor", - "dialogue": "What's gone on right here?" - }, - { - "start": "13:31.00", - "stop": "13:33.20", - "speaker": "Student", - "dialogue": "They drove to B." - }, - { - "start": "13:33.88", - "stop": "13:39.96", - "speaker": "Tutor", - "dialogue": "Okay, and what can I measure from A to be, or what can I keep track of in this situation mathematically?" - }, - { - "start": "13:40.52", - "stop": "13:41.16", - "speaker": "Student", - "dialogue": "The distance." - }, - { - "start": "13:41.64", - "stop": "13:43.44", - "speaker": "Tutor", - "dialogue": "How much has the distance changed?" - }, - { - "start": "13:43.96", - "stop": "13:44.72", - "speaker": "Student", - "dialogue": "Fifty miles." - }, - { - "start": "13:45.40", - "stop": "13:47.64", - "speaker": "Tutor", - "dialogue": "And how long or how much A?" - }, - { - "start": "13:47.84", - "stop": "13:50.32", - "speaker": "Student", - "dialogue": "Ho so fifty miles per hour." - }, - { - "start": "13:51.40", - "stop": "13:53.84", - "speaker": "Tutor", - "dialogue": "And what does fifty miles per hour describe?" - }, - { - "start": "13:54.60", - "stop": "13:57.12", - "speaker": "Student", - "dialogue": "The distance and time well, the speed." - }, - { - "start": "13:57.64", - "stop": "13:59.08", - "speaker": "Tutor", - "dialogue": "Ah, all of that, doesn't it?" - }, - { - "start": "13:59.64", - "stop": "14:02.44", - "speaker": "Tutor", - "dialogue": "Yeah, because that relationship is what gives us the speed." - }, - { - "start": "14:03.24", - "stop": "14:03.48", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "14:03.76", - "stop": "14:04.04", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "14:08.04", - "stop": "14:08.20", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "14:08.20", - "stop": "14:09.60", - "speaker": "Tutor", - "dialogue": "Going to undo this one now?" - }, - { - "start": "14:12.60", - "stop": "14:14.72", - "speaker": "Student", - "dialogue": "All rightcause." - }, - { - "start": "14:14.76", - "stop": "14:16.36", - "speaker": "Tutor", - "dialogue": "You've been thinking about speed all along?" - }, - { - "start": "14:16.72", - "stop": "14:16.84", - "speaker": "Tutor", - "dialogue": "right?" - }, - { - "start": "14:17.08", - "stop": "14:18.84", - "speaker": "Tutor", - "dialogue": "Yeah, so let's go there now." - }, - { - "start": "14:19.00", - "stop": "14:20.88", - "speaker": "Tutor", - "dialogue": "What is this graph going to keep track of?" - }, - { - "start": "14:21.84", - "stop": "14:24.00", - "speaker": "Student", - "dialogue": "The speed and the time." - }, - { - "start": "14:25.00", - "stop": "14:30.36", - "speaker": "Tutor", - "dialogue": "So speed in relation to time, we're be thinking about how those two things are related together." - }, - { - "start": "14:31.24", - "stop": "14:31.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "14:31.76", - "stop": "14:36.44", - "speaker": "Tutor", - "dialogue": "So is just like we did over here with miles and hours." - }, - { - "start": "14:38.36", - "stop": "14:38.40", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "14:38.76", - "stop": "14:48.92", - "speaker": "Tutor", - "dialogue": "Time, increasing, decreasing or staying the same, and is speed increasing, decreasing or staying the same in this situation?" - }, - { - "start": "14:49.68", - "stop": "14:50.36", - "speaker": "Student", - "dialogue": "In A to B." - }, - { - "start": "14:51.12", - "stop": "14:53.00", - "speaker": "Tutor", - "dialogue": "In the entire journey, oh." - }, - { - "start": "14:53.52", - "stop": "15:01.12", - "speaker": "Student", - "dialogue": "Um, I mean overall, it's increasing, but at certain like, at certain intervals" - }, - { - "start": "15:01.28", - "stop": "15:06.88", - "speaker": "Student", - "dialogue": "it's staying the same or just not being constant, like the same as other ones." - }, - { - "start": "15:09.48", - "stop": "15:09.52", - "speaker": "Tutor", - "dialogue": "So" - }, - { - "start": "15:10.48", - "stop": "15:10.76", - "speaker": "Tutor", - "dialogue": "okay?" - }, - { - "start": "15:11.48", - "stop": "15:15.96", - "speaker": "Student", - "dialogue": "So I guess A, there are different intervals." - }, - { - "start": "15:16.20", - "stop": "15:18.96", - "speaker": "Student", - "dialogue": "Like the different intervals, they relate to each other differently." - }, - { - "start": "15:19.32", - "stop": "15:29.08", - "speaker": "Student", - "dialogue": "As A to B. it's going at a constant speed, but then B to C, it's slowing down the entire journey, but overall the whole graph, it does increase." - }, - { - "start": "15:31.28", - "stop": "15:34.28", - "speaker": "Tutor", - "dialogue": "Where does overall the whole graph increase, and why?" - }, - { - "start": "15:35.16", - "stop": "15:43.00", - "speaker": "Student", - "dialogue": "From plots A to F cause, you can see that the time increases and so does the the miles." - }, - { - "start": "15:43.40", - "stop": "15:49.20", - "speaker": "Student", - "dialogue": "So the hours goes from zero to four and the distance goes from zero to one, fifty miles." - }, - { - "start": "15:49.28", - "stop": "15:52.28", - "speaker": "Student", - "dialogue": "So overall, that would be an increasing graph." - }, - { - "start": "15:52.52", - "stop": "15:53.44", - "speaker": "Tutor", - "dialogue": "What does the speed go?" - }, - { - "start": "15:55.04", - "stop": "15:55.20", - "speaker": "Tutor", - "dialogue": "From" - }, - { - "start": "15:55.28", - "stop": "15:55.32", - "speaker": "Tutor", - "dialogue": "what?" - }, - { - "start": "15:55.52", - "stop": "15:55.72", - "speaker": "Tutor", - "dialogue": "to what?" - }, - { - "start": "15:56.68", - "stop": "15:58.40", - "speaker": "Student", - "dialogue": "Oh, well, I don't." - }, - { - "start": "15:58.88", - "stop": "16:03.84", - "speaker": "Student", - "dialogue": "I don't think you can determine well the total, the total speed." - }, - { - "start": "16:05.64", - "stop": "16:08.52", - "speaker": "Tutor", - "dialogue": "Well, I'm just building off of what you said you said." - }, - { - "start": "16:08.60", - "stop": "16:12.92", - "speaker": "Tutor", - "dialogue": "The time increases the whole time from zero to four." - }, - { - "start": "16:13.60", - "stop": "16:13.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "16:14.08", - "stop": "16:17.00", - "speaker": "Tutor", - "dialogue": "Distance increases the whole time from zero to one fifty." - }, - { - "start": "16:17.24", - "stop": "16:19.36", - "speaker": "Tutor", - "dialogue": "so I hear you describing what's going on over here." - }, - { - "start": "16:20.08", - "stop": "16:20.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "16:21.00", - "stop": "16:23.44", - "speaker": "Tutor", - "dialogue": "Now what's going on over here?" - }, - { - "start": "16:23.56", - "stop": "16:23.72", - "speaker": "Tutor", - "dialogue": "then?" - }, - { - "start": "16:24.44", - "stop": "16:26.92", - "speaker": "Tutor", - "dialogue": "Is time increasing or decreasing?" - }, - { - "start": "16:27.52", - "stop": "16:27.80", - "speaker": "Tutor", - "dialogue": "From what?" - }, - { - "start": "16:28.04", - "stop": "16:28.24", - "speaker": "Tutor", - "dialogue": "to what?" - }, - { - "start": "16:29.16", - "stop": "16:36.84", - "speaker": "Student", - "dialogue": "Time is still increasing, so I guess it would still have to be from zero to four because the time it's still the same on their journey." - }, - { - "start": "16:37.16", - "stop": "16:38.20", - "speaker": "Tutor", - "dialogue": "And what about speed?" - }, - { - "start": "16:39.32", - "stop": "16:41.76", - "speaker": "Student", - "dialogue": "I mean, I guess speed it could go." - }, - { - "start": "16:43.52", - "stop": "16:43.56", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "16:43.68", - "stop": "16:53.84", - "speaker": "Student", - "dialogue": "Mean, I think we would have to find the fastest interval of speed, and that would be the greatest speed and it would probably have to go from well." - }, - { - "start": "16:53.96", - "stop": "16:55.96", - "speaker": "Student", - "dialogue": "It would have to start at zerocause." - }, - { - "start": "16:56.04", - "stop": "17:04.00", - "speaker": "Student", - "dialogue": "That's the slowest time that they have, and I think up to fifty miles per hour." - }, - { - "start": "17:04.96", - "stop": "17:05.96", - "speaker": "Tutor", - "dialogue": "You think that's the fastest" - }, - { - "start": "17:06.00", - "stop": "17:06.40", - "speaker": "Tutor", - "dialogue": "it's gone?" - }, - { - "start": "17:08.12", - "stop": "17:08.44", - "speaker": "Student", - "dialogue": "Maybe." - }, - { - "start": "17:09.60", - "stop": "17:10.44", - "speaker": "Tutor", - "dialogue": "You sound unsure." - }, - { - "start": "17:10.48", - "stop": "17:11.32", - "speaker": "Tutor", - "dialogue": "What are you thinking about?" - }, - { - "start": "17:11.96", - "stop": "17:26.12", - "speaker": "Student", - "dialogue": "I mean I only know from from time stamp zero to one 'cause it covers fifty miles, so that'd be fifty miles an hour, but maybe time C to D would have a faster speed." - }, - { - "start": "17:26.56", - "stop": "17:27.56", - "speaker": "Tutor", - "dialogue": "Uh, so you want some?" - }, - { - "start": "17:28.44", - "stop": "17:31.56", - "speaker": "Tutor", - "dialogue": "I'll give you some time right now then to figure that out, figure out what it." - }, - { - "start": "17:31.68", - "stop": "17:37.28", - "speaker": "Tutor", - "dialogue": "I'll hobb be in each of the intervals, so if you need to write things down to figure that out, go ahead should." - }, - { - "start": "17:37.32", - "stop": "17:38.64", - "speaker": "Student", - "dialogue": "I write it down on the yeah." - }, - { - "start": "17:38.92", - "stop": "17:40.32", - "speaker": "Tutor", - "dialogue": "Write it where I can see it for sure." - }, - { - "start": "17:40.64", - "stop": "17:45.84", - "speaker": "Student", - "dialogue": "All right, okay, wait, is there an eraser?" - }, - { - "start": "17:46.40", - "stop": "17:51.04", - "speaker": "Tutor", - "dialogue": "There is, uh, we're going to experiment with how this works on, Um, an ipad." - }, - { - "start": "17:51.60", - "stop": "17:52.92", - "speaker": "Student", - "dialogue": "But okay, the." - }, - { - "start": "17:53.12", - "stop": "17:56.92", - "speaker": "Tutor", - "dialogue": "Button that's at the bottom of the tools, that has on an arrow with an x in it." - }, - { - "start": "17:58.24", - "stop": "18:00.28", - "speaker": "Student", - "dialogue": "The button at the bottom, Oh." - }, - { - "start": "18:00.68", - "stop": "18:01.64", - "speaker": "Tutor", - "dialogue": "Right above the trash can." - }, - { - "start": "18:02.44", - "stop": "18:04.76", - "speaker": "Student", - "dialogue": "Yeah, remove current selection." - }, - { - "start": "18:05.00", - "stop": "18:07.32", - "speaker": "Tutor", - "dialogue": "So you have to select what you want to erase first." - }, - { - "start": "18:08.68", - "stop": "18:08.88", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "18:09.04", - "stop": "18:09.72", - "speaker": "Tutor", - "dialogue": "Wait, I know." - }, - { - "start": "18:11.84", - "stop": "18:14.24", - "speaker": "Student", - "dialogue": "Oh, okay, there we go." - }, - { - "start": "18:16.20", - "stop": "18:16.56", - "speaker": "Student", - "dialogue": "all right." - }, - { - "start": "18:16.68", - "stop": "18:29.88", - "speaker": "Student", - "dialogue": "So A to B, that's fifty miles per hour, and then B to C. that's zero miles per hour, Cause" - }, - { - "start": "18:30.00", - "stop": "18:32.00", - "speaker": "Student", - "dialogue": "they're not moving anywhere." - }, - { - "start": "18:33.96", - "stop": "18:42.80", - "speaker": "Student", - "dialogue": "So C to D. that's so that's time stamp three over." - }, - { - "start": "18:44.84", - "stop": "19:03.40", - "speaker": "Student", - "dialogue": "Wait, two point five over one point five, So you would do a hundred minus fifty on top over two point five minus one point five." - }, - { - "start": "19:04.68", - "stop": "19:04.92", - "speaker": "Tutor", - "dialogue": "Are you?" - }, - { - "start": "19:05.44", - "stop": "19:06.20", - "speaker": "Tutor", - "dialogue": "Are you doing this" - }, - { - "start": "19:06.36", - "stop": "19:09.28", - "speaker": "Tutor", - "dialogue": "Because you're remembering something that is like a equation?" - }, - { - "start": "19:09.96", - "stop": "19:10.00", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "19:11.40", - "stop": "19:11.44", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "19:11.60", - "stop": "19:12.36", - "speaker": "Tutor", - "dialogue": "It's like, isn't it?" - }, - { - "start": "19:12.68", - "stop": "19:19.92", - "speaker": "Student", - "dialogue": "Yeah, is, isn't it B, B, B, Wa or B, B, two minus b one." - }, - { - "start": "19:20.48", - "stop": "19:21.92", - "speaker": "Student", - "dialogue": "I, I don't remember it." - }, - { - "start": "19:23.08", - "stop": "19:24.16", - "speaker": "Tutor", - "dialogue": "Ah, that's interesting." - }, - { - "start": "19:24.72", - "stop": "19:28.44", - "speaker": "Tutor", - "dialogue": "so you know that there's something to do with a fraction and you might." - }, - { - "start": "19:28.64", - "stop": "19:29.28", - "speaker": "Tutor", - "dialogue": "Oh, one thing, yeah." - }, - { - "start": "19:31.04", - "stop": "19:31.28", - "speaker": "Student", - "dialogue": "Keep." - }, - { - "start": "19:31.32", - "stop": "19:32.48", - "speaker": "Tutor", - "dialogue": "Going, tell me where you got this from." - }, - { - "start": "19:32.60", - "stop": "19:33.08", - "speaker": "Tutor", - "dialogue": "This is cool." - }, - { - "start": "19:33.84", - "stop": "19:41.60", - "speaker": "Student", - "dialogue": "Um, I mean, I was just I remember that it's kind of like finding the slope, so that's kind of my thinking." - }, - { - "start": "19:41.72", - "stop": "19:42.28", - "speaker": "Student", - "dialogue": "and you have to do." - }, - { - "start": "19:43.08", - "stop": "19:49.44", - "speaker": "Student", - "dialogue": "I mean the the greatest minus the S. the greater number minus a smaller." - }, - { - "start": "19:49.52", - "stop": "19:54.28", - "speaker": "Student", - "dialogue": "what number over the other interval of the greater number minus the smaller number." - }, - { - "start": "19:54.72", - "stop": "20:02.72", - "speaker": "Student", - "dialogue": "So I remember something being like B, two minus b, one o o over like a two minus a one." - }, - { - "start": "20:02.92", - "stop": "20:07.80", - "speaker": "Student", - "dialogue": "Maybe I'm completely getting that wrong, but for the most part this." - }, - { - "start": "20:07.96", - "stop": "20:08.68", - "speaker": "Tutor", - "dialogue": "Is so cool to me?" - }, - { - "start": "20:09.00", - "stop": "20:09.20", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "20:09.32", - "stop": "20:10.32", - "speaker": "Tutor", - "dialogue": "so you said" - }, - { - "start": "20:11.00", - "stop": "20:13.00", - "speaker": "Tutor", - "dialogue": "It's kind of like the slope maybe." - }, - { - "start": "20:13.76", - "stop": "20:14.36", - "speaker": "Student", - "dialogue": "Yeah, what?" - }, - { - "start": "20:14.64", - "stop": "20:15.24", - "speaker": "Tutor", - "dialogue": "Is the slope?" - }, - { - "start": "20:16.16", - "stop": "20:18.60", - "speaker": "Student", - "dialogue": "Um, isn't it's I know." - }, - { - "start": "20:18.72", - "stop": "20:20.88", - "speaker": "Student", - "dialogue": "It's like the difference like the change." - }, - { - "start": "20:22.52", - "stop": "20:25.04", - "speaker": "Student", - "dialogue": "I isn't the slope just like the." - }, - { - "start": "20:27.36", - "stop": "20:30.20", - "speaker": "Student", - "dialogue": "It would be the in." - }, - { - "start": "20:30.64", - "stop": "20:30.88", - "speaker": "Student", - "dialogue": "Like the." - }, - { - "start": "20:31.72", - "stop": "20:46.24", - "speaker": "Student", - "dialogue": "in this case it would be the distance divided by the time, So to find that in in interval C, D, it would have to be a hundred minus fifty over two point five minus one point five." - }, - { - "start": "20:46.68", - "stop": "20:49.84", - "speaker": "Tutor", - "dialogue": "Yeah, so the slope is the change in one?" - }, - { - "start": "20:50.20", - "stop": "20:50.24", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "20:51.28", - "stop": "20:51.56", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "20:51.92", - "stop": "21:06.04", - "speaker": "Tutor", - "dialogue": "Over the change in the other variable, ahah from one point to another, Yeah, on that interval, and I mhm, think the thing that you were trying to remember Uhhuh, does it look something like this?" - }, - { - "start": "21:13.72", - "stop": "21:13.76", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "21:16.20", - "stop": "21:16.24", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "21:16.56", - "stop": "21:16.60", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "21:16.80", - "stop": "21:16.96", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "21:17.08", - "stop": "21:17.12", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "21:17.36", - "stop": "21:36.96", - "speaker": "Tutor", - "dialogue": "Is saying is you have point one here or point one, point two, and you're finding the change one to the other on one axis and in the other axis, and the relationship between them is the slope, which in this situation is the." - }, - { - "start": "21:38.08", - "stop": "21:39.16", - "speaker": "Student", - "dialogue": "Speed y." - }, - { - "start": "21:39.80", - "stop": "21:44.32", - "speaker": "Tutor", - "dialogue": "Because it's the change in distance over the change in time, Mhm, oky." - }, - { - "start": "21:45.04", - "stop": "21:53.24", - "speaker": "Student", - "dialogue": "Yup, so that would still be fifty mile pur in that case." - }, - { - "start": "21:53.92", - "stop": "21:56.92", - "speaker": "Tutor", - "dialogue": "So you can go through this formula and write it down." - }, - { - "start": "21:57.48", - "stop": "22:01.56", - "speaker": "Tutor", - "dialogue": "You can also look and say okay, I'm at fifty here, and I e at a hundred." - }, - { - "start": "22:02.72", - "stop": "22:02.76", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "22:02.88", - "stop": "22:04.76", - "speaker": "Tutor", - "dialogue": "That means we traveleed fifty more miles." - }, - { - "start": "22:05.48", - "stop": "22:05.52", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "22:07.96", - "stop": "22:11.68", - "speaker": "Tutor", - "dialogue": "And here I was at an hour and a half, and I ended up at two and a half." - }, - { - "start": "22:12.56", - "stop": "22:12.72", - "speaker": "Student", - "dialogue": "Mh." - }, - { - "start": "22:12.92", - "stop": "22:14.00", - "speaker": "Tutor", - "dialogue": "So altogether that is." - }, - { - "start": "22:14.88", - "stop": "22:15.28", - "speaker": "Student", - "dialogue": "An hour." - }, - { - "start": "22:15.44", - "stop": "22:19.52", - "speaker": "Tutor", - "dialogue": "An increase of an hour, which is what you did here with all of the arithmetic." - }, - { - "start": "22:20.20", - "stop": "22:20.24", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "22:20.68", - "stop": "22:22.80", - "speaker": "Tutor", - "dialogue": "Fifty over one equals fifty miles per hour." - }, - { - "start": "22:23.32", - "stop": "22:23.60", - "speaker": "Tutor", - "dialogue": "Mhmm." - }, - { - "start": "22:23.68", - "stop": "22:26.00", - "speaker": "Tutor", - "dialogue": "Okay, is that helping you connect to what this thing was?" - }, - { - "start": "22:26.52", - "stop": "22:29.52", - "speaker": "Tutor", - "dialogue": "B. I've kind of seen something like that, but I'm not sure." - }, - { - "start": "22:30.24", - "stop": "22:30.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "22:30.80", - "stop": "22:34.88", - "speaker": "Tutor", - "dialogue": "Okay, cool, I'm going to erase my stuff." - }, - { - "start": "22:36.24", - "stop": "22:36.28", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "22:36.44", - "stop": "22:40.80", - "speaker": "Tutor", - "dialogue": "I wrote here, Okay, so you can keep going." - }, - { - "start": "22:41.12", - "stop": "22:44.92", - "speaker": "Tutor", - "dialogue": "So you're saying that from C to D, it is F, the speed?" - }, - { - "start": "22:46.44", - "stop": "22:46.88", - "speaker": "Student", - "dialogue": "Ahah, w." - }, - { - "start": "22:47.64", - "stop": "22:52.48", - "speaker": "Tutor", - "dialogue": "Is the speed the same thing as the slope and same thing as constant rate?" - }, - { - "start": "22:53.12", - "stop": "22:54.68", - "speaker": "Tutor", - "dialogue": "or are those all different things?" - }, - { - "start": "22:55.96", - "stop": "23:04.28", - "speaker": "Student", - "dialogue": "Um, I mean the speed is not the same as the slope, Because isn't the slope the change from?" - }, - { - "start": "23:05.08", - "stop": "23:07.92", - "speaker": "Student", - "dialogue": "Because you can't just have speed for it to be the slope." - }, - { - "start": "23:07.96", - "stop": "23:12.32", - "speaker": "Student", - "dialogue": "You would also need the time, so I don't think you would be the same as the slope." - }, - { - "start": "23:14.36", - "stop": "23:16.36", - "speaker": "Tutor", - "dialogue": "What would you need for it to be the slope?" - }, - { - "start": "23:17.00", - "stop": "23:20.96", - "speaker": "Student", - "dialogue": "You would need both the distance and the time, so then you could find the difference between the two." - }, - { - "start": "23:21.56", - "stop": "23:24.32", - "speaker": "Tutor", - "dialogue": "K, do we have the distance and the time in this situation?" - }, - { - "start": "23:24.96", - "stop": "23:27.96", - "speaker": "Tutor", - "dialogue": "Yes, were you able to find the difference between the two and the situation?" - }, - { - "start": "23:28.56", - "stop": "23:28.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "23:29.32", - "stop": "23:32.64", - "speaker": "Tutor", - "dialogue": "Did you end up with a number that could have also been written?" - }, - { - "start": "23:32.80", - "stop": "23:35.80", - "speaker": "Tutor", - "dialogue": "as Oops, see, I wish I hadn't." - }, - { - "start": "23:35.88", - "stop": "23:37.80", - "speaker": "Tutor", - "dialogue": "I've had with a pencil caause." - }, - { - "start": "23:37.84", - "stop": "23:40.40", - "speaker": "Tutor", - "dialogue": "I'm Rdy, at the mouse and it's a lot more clunky." - }, - { - "start": "23:42.32", - "stop": "23:42.36", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "23:42.52", - "stop": "23:43.04", - "speaker": "Tutor", - "dialogue": "Looks like that." - }, - { - "start": "23:44.12", - "stop": "23:44.16", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "23:45.08", - "stop": "23:45.92", - "speaker": "Tutor", - "dialogue": "And what is M?" - }, - { - "start": "23:47.08", - "stop": "23:47.92", - "speaker": "Student", - "dialogue": "M is a slope." - }, - { - "start": "23:48.44", - "stop": "23:52.00", - "speaker": "Tutor", - "dialogue": "So your thinking here was I'm an Alreda by on the slope." - }, - { - "start": "23:52.60", - "stop": "23:53.00", - "speaker": "Student", - "dialogue": "Ahah." - }, - { - "start": "23:53.40", - "stop": "23:56.20", - "speaker": "Tutor", - "dialogue": "Your answer is fifty miles per hour." - }, - { - "start": "23:56.80", - "stop": "23:56.84", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "23:57.60", - "stop": "24:02.08", - "speaker": "Tutor", - "dialogue": "Is slope the same thing as speed in this situation or are they different?" - }, - { - "start": "24:04.00", - "stop": "24:07.28", - "speaker": "Student", - "dialogue": "I mean, but isn't slope M. So it's the overall?" - }, - { - "start": "24:08.28", - "stop": "24:11.84", - "speaker": "Student", - "dialogue": "Oh, well, okay, yeah, yeah, The the slope is the speed in this case." - }, - { - "start": "24:13.72", - "stop": "24:16.20", - "speaker": "Tutor", - "dialogue": "Are you convinced or are you still wondering?" - }, - { - "start": "24:16.84", - "stop": "24:25.76", - "speaker": "Student", - "dialogue": "No, no, I. I'm convinced, because slope is um, fifty over one and it's fifty miles per hour, so that's the same interval, I guess." - }, - { - "start": "24:27.08", - "stop": "24:30.20", - "speaker": "Tutor", - "dialogue": "And you also described something early on as constant rate?" - }, - { - "start": "24:31.04", - "stop": "24:34.56", - "speaker": "Tutor", - "dialogue": "Yeah, is the constant rate, also the slope of this situation?" - }, - { - "start": "24:35.76", - "stop": "24:37.32", - "speaker": "Student", - "dialogue": "Yeahes." - }, - { - "start": "24:37.60", - "stop": "24:42.56", - "speaker": "Tutor", - "dialogue": "Yes, so you're finding the slope of different line segments in this graph?" - }, - { - "start": "24:43.24", - "stop": "24:43.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "24:43.84", - "stop": "24:49.36", - "speaker": "Tutor", - "dialogue": "Or another way we can say it is, you're figuring out the speed at different parts of this journey." - }, - { - "start": "24:51.20", - "stop": "24:51.24", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "24:51.48", - "stop": "24:57.12", - "speaker": "Tutor", - "dialogue": "The slope the same, the entire journey, or does the slope change?" - }, - { - "start": "24:58.20", - "stop": "24:58.76", - "speaker": "Student", - "dialogue": "The slope." - }, - { - "start": "24:59.72", - "stop": "24:59.96", - "speaker": "Tutor", - "dialogue": "Wait." - }, - { - "start": "25:00.40", - "stop": "25:09.20", - "speaker": "Student", - "dialogue": "Like you mean from interval A to f, correct, Um, I think it's kind of like the same thing as the overall speed." - }, - { - "start": "25:09.56", - "stop": "25:18.16", - "speaker": "Student", - "dialogue": "The The, the slope would be the same from A to F, but between the intervals inside of it it would be different." - }, - { - "start": "25:19.92", - "stop": "25:22.64", - "speaker": "Tutor", - "dialogue": "So the intervals are going to have a different slope." - }, - { - "start": "25:23.32", - "stop": "25:27.44", - "speaker": "Student", - "dialogue": "Yes, but the overall like journey would have the same slope." - }, - { - "start": "25:28.12", - "stop": "25:32.60", - "speaker": "Tutor", - "dialogue": "It would have the same slope if we found the average speed." - }, - { - "start": "25:33.72", - "stop": "25:33.76", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "25:35.16", - "stop": "25:38.68", - "speaker": "Tutor", - "dialogue": "Uhhuh, or we could also do like a line of best fit sometimes if we looked." - }, - { - "start": "25:38.68", - "stop": "25:51.12", - "speaker": "Student", - "dialogue": "At, yeah, kind of well, I was just thinking from point A to point F. That's like one, fifty miles for four hours, so then you could figure it out for one hour." - }, - { - "start": "25:51.52", - "stop": "25:52.68", - "speaker": "Tutor", - "dialogue": "Ah, so you could find?" - }, - { - "start": "25:53.48", - "stop": "25:56.92", - "speaker": "Tutor", - "dialogue": "Yeah, the average speed that we traveled for the entire journey." - }, - { - "start": "25:57.60", - "stop": "25:57.64", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "25:58.64", - "stop": "26:01.36", - "speaker": "Student", - "dialogue": "The A, like the average rate of change, correct?" - }, - { - "start": "26:01.60", - "stop": "26:04.00", - "speaker": "Tutor", - "dialogue": "Yeah, then we could find and it would be a line." - }, - { - "start": "26:05.88", - "stop": "26:05.92", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "26:06.24", - "stop": "26:07.52", - "speaker": "Tutor", - "dialogue": "The way it's written right now." - }, - { - "start": "26:08.84", - "stop": "26:09.72", - "speaker": "Student", - "dialogue": "It's not a line." - }, - { - "start": "26:10.04", - "stop": "26:10.20", - "speaker": "Student", - "dialogue": "It's." - }, - { - "start": "26:10.28", - "stop": "26:13.48", - "speaker": "Tutor", - "dialogue": "Not a line, so that means it doesn't have a constant rate." - }, - { - "start": "26:14.68", - "stop": "26:14.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "26:15.20", - "stop": "26:17.64", - "speaker": "Tutor", - "dialogue": "Or the slope is not the same for the whole." - }, - { - "start": "26:17.72", - "stop": "26:18.92", - "speaker": "Student", - "dialogue": "Journey, Okay?" - }, - { - "start": "26:20.08", - "stop": "26:20.84", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "26:21.16", - "stop": "26:21.20", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "26:21.48", - "stop": "26:21.88", - "speaker": "Student", - "dialogue": "Uhhuh." - }, - { - "start": "26:23.00", - "stop": "26:23.04", - "speaker": "Tutor", - "dialogue": "So" - }, - { - "start": "26:23.28", - "stop": "26:23.56", - "speaker": "Tutor", - "dialogue": "cool?" - }, - { - "start": "26:24.00", - "stop": "26:26.08", - "speaker": "Tutor", - "dialogue": "Okay, So you know the speed from C to D?" - }, - { - "start": "26:26.84", - "stop": "26:26.88", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "26:28.76", - "stop": "26:30.44", - "speaker": "Tutor", - "dialogue": "And why are we finding the speed right now?" - }, - { - "start": "26:31.72", - "stop": "26:40.16", - "speaker": "Student", - "dialogue": "Um, I guess to make the second graph so that you could see the speed forer miles per hour over the time." - }, - { - "start": "26:40.96", - "stop": "26:42.40", - "speaker": "Tutor", - "dialogue": "So, oh, let's talk about." - }, - { - "start": "26:42.48", - "stop": "26:42.52", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "26:43.52", - "stop": "26:46.04", - "speaker": "Tutor", - "dialogue": "The speed for miles per hour over the time." - }, - { - "start": "26:47.24", - "stop": "26:47.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "26:50.08", - "stop": "26:54.04", - "speaker": "Tutor", - "dialogue": "So you know, the speed from A to B is fifty miles per hour." - }, - { - "start": "26:54.68", - "stop": "26:54.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "26:55.20", - "stop": "26:57.60", - "speaker": "Tutor", - "dialogue": "What do you know about the time for that interval?" - }, - { - "start": "26:58.72", - "stop": "26:59.80", - "speaker": "Student", - "dialogue": "It took an hour." - }, - { - "start": "27:01.52", - "stop": "27:07.08", - "speaker": "Tutor", - "dialogue": "So the car was travelling fifty miles per hour for an hour of the trip." - }, - { - "start": "27:09.12", - "stop": "27:09.28", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "27:09.36", - "stop": "27:10.00", - "speaker": "Tutor", - "dialogue": "What happens?" - }, - { - "start": "27:10.88", - "stop": "27:13.96", - "speaker": "Student", - "dialogue": "Then they take a break for half an hour." - }, - { - "start": "27:14.12", - "stop": "27:18.64", - "speaker": "Student", - "dialogue": "They travel zero miles per hour for half an hour, okay?" - }, - { - "start": "27:19.48", - "stop": "27:20.60", - "speaker": "Tutor", - "dialogue": "And then they travel." - }, - { - "start": "27:21.96", - "stop": "27:33.88", - "speaker": "Student", - "dialogue": "And and then they travel fifty, ho, sorry, fifty miles per hour for one hour more, and that leads them to two and a half hours." - }, - { - "start": "27:35.92", - "stop": "27:39.76", - "speaker": "Tutor", - "dialogue": "So right now you know you're going to have to graf speed, and you're going to have to graf time." - }, - { - "start": "27:40.20", - "stop": "27:41.44", - "speaker": "Tutor", - "dialogue": "Yeah, and you're talking about it." - }, - { - "start": "27:42.12", - "stop": "27:45.80", - "speaker": "Tutor", - "dialogue": "Do you want to keep track of how long they've traveled each of these miles?" - }, - { - "start": "27:46.32", - "stop": "27:46.68", - "speaker": "Tutor", - "dialogue": "I'm sorry." - }, - { - "start": "27:46.80", - "stop": "27:50.00", - "speaker": "Tutor", - "dialogue": "Yeah, I did you the so, or do you think you've got it in your head?" - }, - { - "start": "27:50.60", - "stop": "27:55.76", - "speaker": "Student", - "dialogue": "I, I mean, I think I got it in my head, but I could write it down if that makes things easier." - }, - { - "start": "27:55.96", - "stop": "27:57.56", - "speaker": "Tutor", - "dialogue": "It's not making it easier for me." - }, - { - "start": "27:58.00", - "stop": "27:59.32", - "speaker": "Tutor", - "dialogue": "if you don't need to write it." - }, - { - "start": "27:59.44", - "stop": "27:59.96", - "speaker": "Tutor", - "dialogue": "Don't write it." - }, - { - "start": "28:00.44", - "stop": "28:01.80", - "speaker": "Tutor", - "dialogue": "If you do need to write it, write it." - }, - { - "start": "28:02.88", - "stop": "28:05.84", - "speaker": "Student", - "dialogue": "Okay, I mean, I'll so fifty miles per hour." - }, - { - "start": "28:05.96", - "stop": "28:10.48", - "speaker": "Student", - "dialogue": "that's one hour, zero miles hour." - }, - { - "start": "28:10.64", - "stop": "28:18.16", - "speaker": "Student", - "dialogue": "That's half an hour, thirty, and then fifty miles per hour." - }, - { - "start": "28:18.20", - "stop": "28:19.08", - "speaker": "Student", - "dialogue": "that's another hour." - }, - { - "start": "28:22.64", - "stop": "28:22.68", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "28:22.84", - "stop": "28:25.20", - "speaker": "Student", - "dialogue": "Then I didn't calculate D to E" - }, - { - "start": "28:25.36", - "stop": "28:25.52", - "speaker": "Student", - "dialogue": "yet." - }, - { - "start": "28:25.64", - "stop": "28:26.64", - "speaker": "Student", - "dialogue": "Should I do that?" - }, - { - "start": "28:26.84", - "stop": "28:27.40", - "speaker": "Student", - "dialogue": "But it would all." - }, - { - "start": "28:27.52", - "stop": "28:30.12", - "speaker": "Student", - "dialogue": "It would have a weirder slope 'cause" - }, - { - "start": "28:30.20", - "stop": "28:32.16", - "speaker": "Student", - "dialogue": "it's a. It's not a straight line." - }, - { - "start": "28:32.72", - "stop": "28:34.76", - "speaker": "Tutor", - "dialogue": "Ah, dig, dig into that some more." - }, - { - "start": "28:34.92", - "stop": "28:36.64", - "speaker": "Tutor", - "dialogue": "Tell me what you mean by weirder slope." - }, - { - "start": "28:38.08", - "stop": "28:40.12", - "speaker": "Student", - "dialogue": "Yeah, it, it's It's not straight." - }, - { - "start": "28:40.40", - "stop": "28:40.76", - "speaker": "Student", - "dialogue": "it's not." - }, - { - "start": "28:41.00", - "stop": "28:50.72", - "speaker": "Student", - "dialogue": "It's just all curvy, so I guess that means that they would go faster at some points of the ride and slower at others, so it doesn't mean that it would have the same slope." - }, - { - "start": "28:51.44", - "stop": "28:55.24", - "speaker": "Tutor", - "dialogue": "If it doesn't have the same slope, it doesn't have a constant rate, right?" - }, - { - "start": "28:55.76", - "stop": "28:55.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "28:57.20", - "stop": "29:01.12", - "speaker": "Tutor", - "dialogue": "So do you have the ability to find the slope from D to E?" - }, - { - "start": "29:02.04", - "stop": "29:02.96", - "speaker": "Student", - "dialogue": "I don't think so." - }, - { - "start": "29:05.40", - "stop": "29:05.52", - "speaker": "Tutor", - "dialogue": "Mean." - }, - { - "start": "29:05.68", - "stop": "29:08.52", - "speaker": "Student", - "dialogue": "Unless you can draw a straight line and call it a day." - }, - { - "start": "29:10.04", - "stop": "29:13.40", - "speaker": "Tutor", - "dialogue": "So if you drew it a straight line and called it a day, you'd be estimating it." - }, - { - "start": "29:13.88", - "stop": "29:15.24", - "speaker": "Tutor", - "dialogue": "Yeah, right, which you can do?" - }, - { - "start": "29:15.92", - "stop": "29:17.68", - "speaker": "Tutor", - "dialogue": "You can estimate it in this situation." - }, - { - "start": "29:18.12", - "stop": "29:22.28", - "speaker": "Tutor", - "dialogue": "Do you know that there is a way to find the slope of that squiggly line mathematically?" - }, - { - "start": "29:23.16", - "stop": "29:23.28", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "29:23.68", - "stop": "29:24.64", - "speaker": "Tutor", - "dialogue": "A, this is really cool." - }, - { - "start": "29:24.76", - "stop": "29:26.32", - "speaker": "Tutor", - "dialogue": "You'll get into this in higher math." - }, - { - "start": "29:26.68", - "stop": "29:31.16", - "speaker": "Tutor", - "dialogue": "This isn't You Can't find it using the way that you just did right here." - }, - { - "start": "29:32.20", - "stop": "29:32.64", - "speaker": "Student", - "dialogue": "Okay, but?" - }, - { - "start": "29:32.80", - "stop": "29:33.52", - "speaker": "Tutor", - "dialogue": "There is a way." - }, - { - "start": "29:34.40", - "stop": "29:34.88", - "speaker": "Student", - "dialogue": "Oh, there is." - }, - { - "start": "29:35.24", - "stop": "29:39.32", - "speaker": "Tutor", - "dialogue": "There is Yeah, whenever it's not a linear equation." - }, - { - "start": "29:39.52", - "stop": "29:41.44", - "speaker": "Tutor", - "dialogue": "This is the slope of a linear equation." - }, - { - "start": "29:41.64", - "stop": "29:43.44", - "speaker": "Tutor", - "dialogue": "Yeah, what's a linear equation?" - }, - { - "start": "29:44.24", - "stop": "29:46.48", - "speaker": "Student", - "dialogue": "Oh, I mean, a linear means is." - }, - { - "start": "29:47.08", - "stop": "29:49.08", - "speaker": "Student", - "dialogue": "Doesn't it mean that it's just like a straight line?" - }, - { - "start": "29:49.44", - "stop": "29:50.12", - "speaker": "Tutor", - "dialogue": "Kind of yup." - }, - { - "start": "29:50.16", - "stop": "29:53.08", - "speaker": "Tutor", - "dialogue": "And if it's a straight line, that means the slope is." - }, - { - "start": "29:53.92", - "stop": "29:55.76", - "speaker": "Student", - "dialogue": "Constant, like Yeah, constant, yeah." - }, - { - "start": "29:56.40", - "stop": "29:58.96", - "speaker": "Tutor", - "dialogue": "Which is what you've probably worked with a lot up until this point." - }, - { - "start": "29:59.60", - "stop": "29:59.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "30:00.24", - "stop": "30:02.28", - "speaker": "Tutor", - "dialogue": "But we can, we do have grass that look different." - }, - { - "start": "30:02.64", - "stop": "30:07.52", - "speaker": "Student", - "dialogue": "Well, yeah, like parabolas and right sine functions and cosine functions." - }, - { - "start": "30:08.48", - "stop": "30:20.64", - "speaker": "Tutor", - "dialogue": "Ah, yeah, and so you'll get know deeper about how do you use those tools to find the rate of change, or how do you use those tools to describe variables that are changing in relation to each other?" - }, - { - "start": "30:20.88", - "stop": "30:22.44", - "speaker": "Student", - "dialogue": "Yeah, like the period, I guess." - }, - { - "start": "30:23.32", - "stop": "30:27.52", - "speaker": "Tutor", - "dialogue": "Coolsta, okay, so for here we're estimating, so it's cool to estimate" - }, - { - "start": "30:27.68", - "stop": "30:28.88", - "speaker": "Tutor", - "dialogue": "What is the speed?" - }, - { - "start": "30:29.04", - "stop": "30:29.88", - "speaker": "Tutor", - "dialogue": "What estimate do you?" - }, - { - "start": "30:30.96", - "stop": "30:33.28", - "speaker": "Tutor", - "dialogue": "Oh, my goodness, what do you estimate?" - }, - { - "start": "30:33.40", - "stop": "30:34.04", - "speaker": "Tutor", - "dialogue": "The speed be?" - }, - { - "start": "30:35.20", - "stop": "30:35.24", - "speaker": "Tutor", - "dialogue": "M." - }, - { - "start": "30:35.80", - "stop": "30:39.80", - "speaker": "Student", - "dialogue": "Yeah, um, so I, I guess it would." - }, - { - "start": "30:41.28", - "stop": "30:42.48", - "speaker": "Student", - "dialogue": "would it end in the middle?" - }, - { - "start": "30:42.92", - "stop": "30:48.96", - "speaker": "Student", - "dialogue": "Uh, so would it end at three point seven, five, since it doesn't end at a nice number, I guess." - }, - { - "start": "30:49.52", - "stop": "30:50.16", - "speaker": "Tutor", - "dialogue": "You can do that." - }, - { - "start": "30:50.36", - "stop": "30:54.96", - "speaker": "Tutor", - "dialogue": "You can estimate it to Yeah, to be whatever Um time you want it to be." - }, - { - "start": "30:55.52", - "stop": "30:56.48", - "speaker": "Student", - "dialogue": "Should I estimate?" - }, - { - "start": "30:56.92", - "stop": "30:58.96", - "speaker": "Student", - "dialogue": "I guess I'll estimate it at three point five?" - }, - { - "start": "30:59.40", - "stop": "31:22.80", - "speaker": "Student", - "dialogue": "I'll go from plots two point five to three point five, so that'd be another hour and they're increasing by, so Ito'ld be thirty miles an hour, So I'll write that down from D to E. That's thirty mile, thirty miles per hour in one hour." - }, - { - "start": "31:23.16", - "stop": "31:27.04", - "speaker": "Tutor", - "dialogue": "And because, in these other instances, was it an estimate, or was it exact?" - }, - { - "start": "31:27.64", - "stop": "31:28.28", - "speaker": "Student", - "dialogue": "It was exact." - }, - { - "start": "31:28.60", - "stop": "31:32.52", - "speaker": "Tutor", - "dialogue": "So how do you show symbolically that this is about thirty miles per hour?" - }, - { - "start": "31:34.52", - "stop": "31:36.88", - "speaker": "Student", - "dialogue": "Ah, I would write about." - }, - { - "start": "31:37.24", - "stop": "31:37.80", - "speaker": "Tutor", - "dialogue": "That works too." - }, - { - "start": "31:37.96", - "stop": "31:41.68", - "speaker": "Tutor", - "dialogue": "You might also see something like this sometimes where you have like this squiggly." - }, - { - "start": "31:42.20", - "stop": "31:42.40", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "31:42.64", - "stop": "31:43.88", - "speaker": "Student", - "dialogue": "Okay, yeah, yeah." - }, - { - "start": "31:45.32", - "stop": "31:47.80", - "speaker": "Tutor", - "dialogue": "And that's just a hint to yourself that it's not exact." - }, - { - "start": "31:48.56", - "stop": "31:49.76", - "speaker": "Student", - "dialogue": "Uhhuh, okay." - }, - { - "start": "31:50.84", - "stop": "31:51.12", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "31:52.08", - "stop": "31:52.48", - "speaker": "Student", - "dialogue": "Uhhuh." - }, - { - "start": "31:53.44", - "stop": "31:54.40", - "speaker": "Tutor", - "dialogue": "Now e to f." - }, - { - "start": "31:56.20", - "stop": "32:05.12", - "speaker": "Student", - "dialogue": "So, since I like estimated that E ends at three point five, I'll say that E starts at three point five." - }, - { - "start": "32:05.24", - "stop": "32:10.04", - "speaker": "Student", - "dialogue": "So if it goes from three point five to four, that would be." - }, - { - "start": "32:10.64", - "stop": "32:22.00", - "speaker": "Student", - "dialogue": "Oh, sorry, lem, me, delete this part, but oh no, uhh, how did that happen?" - }, - { - "start": "32:22.12", - "stop": "32:22.28", - "speaker": "Student", - "dialogue": "Oh?" - }, - { - "start": "32:22.40", - "stop": "32:24.48", - "speaker": "Tutor", - "dialogue": "This is good feedback for our programmers." - }, - { - "start": "32:24.64", - "stop": "32:25.12", - "speaker": "Tutor", - "dialogue": "You're good." - }, - { - "start": "32:25.72", - "stop": "32:30.16", - "speaker": "Tutor", - "dialogue": "Okay, You probably hit Delete all somehow." - }, - { - "start": "32:30.76", - "stop": "32:31.00", - "speaker": "Student", - "dialogue": "Really?" - }, - { - "start": "32:31.44", - "stop": "32:34.20", - "speaker": "Tutor", - "dialogue": "Yeah, and maybe it's because it's on an ipad." - }, - { - "start": "32:35.52", - "stop": "32:35.84", - "speaker": "Student", - "dialogue": "Maybe." - }, - { - "start": "32:37.16", - "stop": "32:39.92", - "speaker": "Tutor", - "dialogue": "And I don't think I have a way to recover it." - }, - { - "start": "32:40.64", - "stop": "32:41.52", - "speaker": "Student", - "dialogue": "Oh, that's okay." - }, - { - "start": "32:41.64", - "stop": "32:42.96", - "speaker": "Student", - "dialogue": "Hopefully I'll remember it all." - }, - { - "start": "32:43.48", - "stop": "32:43.76", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "32:45.80", - "stop": "32:47.80", - "speaker": "Student", - "dialogue": "We'll see, but from eda" - }, - { - "start": "32:47.92", - "stop": "32:52.96", - "speaker": "Student", - "dialogue": "f, uh, it's thirty miles per hour and they go a half an hour." - }, - { - "start": "32:55.32", - "stop": "32:57.04", - "speaker": "Student", - "dialogue": "I don't know if I should write that down." - }, - { - "start": "32:57.56", - "stop": "32:57.60", - "speaker": "Tutor", - "dialogue": "Not." - }, - { - "start": "32:59.28", - "stop": "32:59.32", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "32:59.52", - "stop": "33:01.56", - "speaker": "Tutor", - "dialogue": "We might end up beracing it, but that's okay." - }, - { - "start": "33:01.64", - "stop": "33:02.76", - "speaker": "Tutor", - "dialogue": "We're experimenting together." - }, - { - "start": "33:03.24", - "stop": "33:04.08", - "speaker": "Tutor", - "dialogue": "Okay, So you said?" - }, - { - "start": "33:04.60", - "stop": "33:05.00", - "speaker": "Tutor", - "dialogue": "How do you know" - }, - { - "start": "33:05.12", - "stop": "33:06.28", - "speaker": "Tutor", - "dialogue": "it's thirty miles per hour?" - }, - { - "start": "33:07.28", - "stop": "33:08.40", - "speaker": "Student", - "dialogue": "Um, oh wait." - }, - { - "start": "33:08.88", - "stop": "33:19.84", - "speaker": "Student", - "dialogue": "I, actually, I don't know why I said that I. no, Um, since it starts over here and ends over here, basically that would be about." - }, - { - "start": "33:20.04", - "stop": "33:23.12", - "speaker": "Student", - "dialogue": "Oh so no, that'd be around ten miles an hour." - }, - { - "start": "33:23.72", - "stop": "33:23.92", - "speaker": "Student", - "dialogue": "right." - }, - { - "start": "33:24.76", - "stop": "33:25.00", - "speaker": "Student", - "dialogue": "wait?" - }, - { - "start": "33:25.16", - "stop": "33:36.08", - "speaker": "Student", - "dialogue": "no, no, no, Um, since that's in half an hour and that's ten miles, so maybe that'd be twenty miles an hour." - }, - { - "start": "33:37.40", - "stop": "33:39.36", - "speaker": "Tutor", - "dialogue": "Are you asking me or are you telling?" - }, - { - "start": "33:39.48", - "stop": "33:41.60", - "speaker": "Student", - "dialogue": "Me, I'm questioning." - }, - { - "start": "33:42.68", - "stop": "33:44.48", - "speaker": "Tutor", - "dialogue": "N more, think time to convince yourself." - }, - { - "start": "33:45.12", - "stop": "33:45.16", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "33:47.20", - "stop": "33:49.24", - "speaker": "Student", - "dialogue": "Okay, um?" - }, - { - "start": "33:51.84", - "stop": "33:51.88", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "33:52.56", - "stop": "33:59.64", - "speaker": "Student", - "dialogue": "Since I did start it at three point five, that'd be over here, and so that would be about ten." - }, - { - "start": "34:01.60", - "stop": "34:07.40", - "speaker": "Student", - "dialogue": "That'd be fifteen miles, so yeah, I I'll say thirty miles an hour." - }, - { - "start": "34:09.72", - "stop": "34:09.88", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "34:09.96", - "stop": "34:10.00", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "34:10.20", - "stop": "34:11.80", - "speaker": "Tutor", - "dialogue": "Convinced is this your final answer?" - }, - { - "start": "34:11.88", - "stop": "34:12.60", - "speaker": "Tutor", - "dialogue": "Are you still thinking?" - }, - { - "start": "34:13.40", - "stop": "34:16.28", - "speaker": "Student", - "dialogue": "Yes, my final answer." - }, - { - "start": "34:17.12", - "stop": "34:19.76", - "speaker": "Tutor", - "dialogue": "So convince me that it's thirty miles an hour then." - }, - { - "start": "34:20.56", - "stop": "34:31.28", - "speaker": "Student", - "dialogue": "Um, so since since I started E at three point five and it ends at four, we know that the three point three point five to four." - }, - { - "start": "34:31.56", - "stop": "34:44.36", - "speaker": "Student", - "dialogue": "that's half an hour over here, so you would have to mu multiply whatever time you get, whatever miles you get by the by two, because half an hour is half of an hour." - }, - { - "start": "34:44.96", - "stop": "34:46.92", - "speaker": "Student", - "dialogue": "So and then from here it's." - }, - { - "start": "34:48.64", - "stop": "34:48.68", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "34:48.80", - "stop": "34:56.64", - "speaker": "Student", - "dialogue": "Mile, ten miles and half, which is fifteen miles, so that'd be then thirty miles an hour." - }, - { - "start": "34:57.80", - "stop": "35:01.16", - "speaker": "Tutor", - "dialogue": "Can you show me with symbols what you did wait with?" - }, - { - "start": "35:01.40", - "stop": "35:02.00", - "speaker": "Student", - "dialogue": "With symbol." - }, - { - "start": "35:02.12", - "stop": "35:03.24", - "speaker": "Tutor", - "dialogue": "With numbers and symbols." - }, - { - "start": "35:04.08", - "stop": "35:07.16", - "speaker": "Student", - "dialogue": "Oh, okay, so um, this is?" - }, - { - "start": "35:08.96", - "stop": "35:09.00", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "35:09.16", - "stop": "35:27.92", - "speaker": "Student", - "dialogue": "Would be three point five to four, so that'd be half an hour, and E is, I would say one, thirty five to one, fifty, so, one fifty minus one, thirty five." - }, - { - "start": "35:28.48", - "stop": "35:29.76", - "speaker": "Student", - "dialogue": "That'd be fifteen." - }, - { - "start": "35:30.92", - "stop": "35:42.68", - "speaker": "Student", - "dialogue": "So and since fifteen is equ to one half of an hour, To make it one hour, you would multiply it by two." - }, - { - "start": "35:44.16", - "stop": "35:44.20", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "35:44.32", - "stop": "35:46.68", - "speaker": "Student", - "dialogue": "Then you would get thirty miles per hour." - }, - { - "start": "35:47.52", - "stop": "35:49.00", - "speaker": "Tutor", - "dialogue": "Ah, that reasoning is really cool." - }, - { - "start": "35:49.44", - "stop": "35:54.84", - "speaker": "Tutor", - "dialogue": "Do you know to something that looks like this with what you just did?" - }, - { - "start": "35:55.60", - "stop": "35:55.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "35:56.20", - "stop": "35:56.64", - "speaker": "Tutor", - "dialogue": "What is this?" - }, - { - "start": "35:58.44", - "stop": "35:58.84", - "speaker": "Student", - "dialogue": "Is it like?" - }, - { - "start": "35:59.80", - "stop": "36:01.32", - "speaker": "Student", - "dialogue": "Isn't it just equal?" - }, - { - "start": "36:01.44", - "stop": "36:02.20", - "speaker": "Student", - "dialogue": "like an equation?" - }, - { - "start": "36:02.76", - "stop": "36:03.72", - "speaker": "Tutor", - "dialogue": "What would you put there?" - }, - { - "start": "36:05.08", - "stop": "36:06.88", - "speaker": "Student", - "dialogue": "W, wait, W, What do you mean?" - }, - { - "start": "36:07.12", - "stop": "36:07.32", - "speaker": "Student", - "dialogue": "wait?" - }, - { - "start": "36:07.48", - "stop": "36:08.00", - "speaker": "Student", - "dialogue": "Put where?" - }, - { - "start": "36:08.92", - "stop": "36:10.80", - "speaker": "Tutor", - "dialogue": "So you talked about a relationship?" - }, - { - "start": "36:11.20", - "stop": "36:19.16", - "speaker": "Tutor", - "dialogue": "Uh, yeah, miles to hours, and somehow you knew that you could multiply by two for each of them like." - }, - { - "start": "36:19.32", - "stop": "36:21.28", - "speaker": "Student", - "dialogue": "It's kind of like a system it is." - }, - { - "start": "36:21.68", - "stop": "36:22.36", - "speaker": "Tutor", - "dialogue": "Yeah, okay." - }, - { - "start": "36:23.08", - "stop": "36:23.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "36:23.88", - "stop": "36:25.44", - "speaker": "Tutor", - "dialogue": "What about if I put?" - }, - { - "start": "36:28.16", - "stop": "36:28.20", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "36:28.36", - "stop": "36:29.76", - "speaker": "Tutor", - "dialogue": "Had fifteen miles here." - }, - { - "start": "36:32.04", - "stop": "36:32.08", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "36:34.56", - "stop": "36:36.32", - "speaker": "Tutor", - "dialogue": "And thirty miles here?" - }, - { - "start": "36:40.28", - "stop": "36:40.32", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "36:40.44", - "stop": "36:41.36", - "speaker": "Tutor", - "dialogue": "Did you have down here?" - }, - { - "start": "36:42.40", - "stop": "36:49.20", - "speaker": "Student", - "dialogue": "You would have the half hour down there, and then on the right hand, it would be an hour." - }, - { - "start": "36:50.76", - "stop": "36:52.48", - "speaker": "Tutor", - "dialogue": "Do you know what this relationship is called?" - }, - { - "start": "36:54.00", - "stop": "36:58.32", - "speaker": "Student", - "dialogue": "Isn't it's like the You would do it?" - }, - { - "start": "36:58.56", - "stop": "36:59.68", - "speaker": "Student", - "dialogue": "It's a system, isn't it?" - }, - { - "start": "37:00.64", - "stop": "37:01.56", - "speaker": "Tutor", - "dialogue": "Why is it a system?" - }, - { - "start": "37:02.52", - "stop": "37:17.40", - "speaker": "Student", - "dialogue": "Because you would have to multiply one side of the like, you would multiply both halves by two to get the part on the right, kind of like cross multiplying in a way." - }, - { - "start": "37:18.24", - "stop": "37:19.36", - "speaker": "Tutor", - "dialogue": "Did you cross multiply?" - }, - { - "start": "37:19.72", - "stop": "37:19.88", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "37:20.20", - "stop": "37:20.32", - "speaker": "Student", - "dialogue": "No" - }, - { - "start": "37:20.52", - "stop": "37:20.56", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "37:20.92", - "stop": "37:21.04", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "37:21.80", - "stop": "37:23.44", - "speaker": "Student", - "dialogue": "No, sorry, not cross multiplication." - }, - { - "start": "37:23.60", - "stop": "37:25.32", - "speaker": "Student", - "dialogue": "just multiplying through the side." - }, - { - "start": "37:26.24", - "stop": "37:26.44", - "speaker": "Tutor", - "dialogue": "Just." - }, - { - "start": "37:27.20", - "stop": "37:31.88", - "speaker": "Student", - "dialogue": "Fifteen times two equals thirty, and point five times two equals one." - }, - { - "start": "37:33.20", - "stop": "37:37.36", - "speaker": "Tutor", - "dialogue": "So this could be called equivalent fractions if it was just fifteen." - }, - { - "start": "37:38.04", - "stop": "37:43.40", - "speaker": "Tutor", - "dialogue": "Okay, right, it can also be call, fifteen miles to a half an hour" - }, - { - "start": "37:44.00", - "stop": "37:44.04", - "speaker": "Tutor", - "dialogue": "That" - }, - { - "start": "37:44.76", - "stop": "37:44.80", - "speaker": "Tutor", - "dialogue": "be." - }, - { - "start": "37:45.12", - "stop": "37:48.52", - "speaker": "Tutor", - "dialogue": "a. Have you heard of words like ratio rate?" - }, - { - "start": "37:49.72", - "stop": "37:49.84", - "speaker": "Tutor", - "dialogue": "right?" - }, - { - "start": "37:49.92", - "stop": "38:03.92", - "speaker": "Tutor", - "dialogue": "Yeah, so what I'm trying to do right now is you have some really cool thinking and just like with the slope thing, you think really deeply, then helping you connect that to the words and formulas and symbols that you're using in class." - }, - { - "start": "38:04.84", - "stop": "38:05.00", - "speaker": "Student", - "dialogue": "Hh." - }, - { - "start": "38:05.52", - "stop": "38:09.28", - "speaker": "Tutor", - "dialogue": "So you thought with ratios and proportions down here?" - }, - { - "start": "38:10.04", - "stop": "38:10.32", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "38:10.72", - "stop": "38:17.76", - "speaker": "Tutor", - "dialogue": "You knew if you knew the relationship of one, you could keep your relationship equal to find the other to be able determine the speed." - }, - { - "start": "38:19.52", - "stop": "38:19.84", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "38:20.76", - "stop": "38:24.32", - "speaker": "Tutor", - "dialogue": "K, So this is a proportionate relationship?" - }, - { - "start": "38:24.96", - "stop": "38:26.64", - "speaker": "Tutor", - "dialogue": "Okay, there are two ratios." - }, - { - "start": "38:27.76", - "stop": "38:28.96", - "speaker": "Tutor", - "dialogue": "there are equal." - }, - { - "start": "38:29.80", - "stop": "38:30.12", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "38:30.84", - "stop": "38:31.16", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "38:31.72", - "stop": "38:31.92", - "speaker": "Tutor", - "dialogue": "Yep." - }, - { - "start": "38:32.12", - "stop": "38:32.48", - "speaker": "Tutor", - "dialogue": "all right." - }, - { - "start": "38:32.68", - "stop": "38:36.36", - "speaker": "Tutor", - "dialogue": "So now I know that you're work erasd." - }, - { - "start": "38:37.64", - "stop": "38:38.16", - "speaker": "Tutor", - "dialogue": "let's try this." - }, - { - "start": "38:38.32", - "stop": "38:40.16", - "speaker": "Tutor", - "dialogue": "What would your graph sketch a graph?" - }, - { - "start": "38:40.96", - "stop": "38:42.48", - "speaker": "Tutor", - "dialogue": "Okay, speed and time." - }, - { - "start": "38:42.68", - "stop": "38:47.96", - "speaker": "Tutor", - "dialogue": "the relationship between those two things that are changing in graph." - }, - { - "start": "38:48.72", - "stop": "38:54.80", - "speaker": "Student", - "dialogue": "Okay, so I guess I want to make it on an the maximum of fifty cause" - }, - { - "start": "38:54.84", - "stop": "38:58.48", - "speaker": "Student", - "dialogue": "that's the fifty, like fifty miles per hours, the fastest that they go." - }, - { - "start": "39:02.84", - "stop": "39:02.88", - "speaker": "Tutor", - "dialogue": "Or?" - }, - { - "start": "39:03.00", - "stop": "39:06.96", - "speaker": "Student", - "dialogue": "Wait, would I want to make the fifty in the beginning or?" - }, - { - "start": "39:10.12", - "stop": "39:10.32", - "speaker": "Tutor", - "dialogue": "Mm." - }, - { - "start": "39:10.96", - "stop": "39:12.76", - "speaker": "Student", - "dialogue": "Wait, can I ask you questions in this?" - }, - { - "start": "39:12.96", - "stop": "39:14.20", - "speaker": "Student", - "dialogue": "Are you allowed to give answers?" - }, - { - "start": "39:14.52", - "stop": "39:15.72", - "speaker": "Tutor", - "dialogue": "You can ask me a question." - }, - { - "start": "39:15.76", - "stop": "39:20.12", - "speaker": "Tutor", - "dialogue": "I don't know if I'll answer, but always allowed to ask questions." - }, - { - "start": "39:20.24", - "stop": "39:20.40", - "speaker": "Tutor", - "dialogue": "yes." - }, - { - "start": "39:21.08", - "stop": "39:32.24", - "speaker": "Student", - "dialogue": "Okay, um, so my thinking is is that if I were to put the fifty in the end, then most of the beginning values would be at the end" - }, - { - "start": "39:32.36", - "stop": "39:35.12", - "speaker": "Student", - "dialogue": "Like, for example, So time?" - }, - { - "start": "39:35.40", - "stop": "39:37.40", - "speaker": "Student", - "dialogue": "I mean, we could still so one." - }, - { - "start": "39:39.56", - "stop": "39:39.80", - "speaker": "Tutor", - "dialogue": "Two." - }, - { - "start": "39:40.64", - "stop": "39:48.00", - "speaker": "Student", - "dialogue": "Three four, but like so, one hour that would just be over here then." - }, - { - "start": "39:50.20", - "stop": "39:50.84", - "speaker": "Tutor", - "dialogue": "Is that allowed?" - }, - { - "start": "39:51.12", - "stop": "39:52.24", - "speaker": "Tutor", - "dialogue": "I hear you asking yoursel?" - }, - { - "start": "39:52.40", - "stop": "39:53.00", - "speaker": "Tutor", - "dialogue": "Is that allowed?" - }, - { - "start": "39:53.92", - "stop": "39:55.80", - "speaker": "Student", - "dialogue": "Yeah, I'm not sure." - }, - { - "start": "39:58.76", - "stop": "40:07.00", - "speaker": "Student", - "dialogue": "Um, but then I just time and I guess so then." - }, - { - "start": "40:09.04", - "stop": "40:09.08", - "speaker": "Tutor", - "dialogue": "But" - }, - { - "start": "40:09.28", - "stop": "40:09.72", - "speaker": "Student", - "dialogue": "How would you?" - }, - { - "start": "40:10.64", - "stop": "40:14.48", - "speaker": "Student", - "dialogue": "Oh, by um, I guess you can make it, Can you?" - }, - { - "start": "40:14.96", - "stop": "40:17.44", - "speaker": "Student", - "dialogue": "I'm thinking if I should make it fifty in the beginning." - }, - { - "start": "40:18.84", - "stop": "40:21.92", - "speaker": "Tutor", - "dialogue": "It's so cool and you're doing an excellent job of explaining." - }, - { - "start": "40:22.20", - "stop": "40:26.48", - "speaker": "Tutor", - "dialogue": "You're think okay and this back and forth of like should I can." - }, - { - "start": "40:26.60", - "stop": "40:28.20", - "speaker": "Tutor", - "dialogue": "I. I don't know." - }, - { - "start": "40:28.72", - "stop": "40:35.24", - "speaker": "Tutor", - "dialogue": "that means you are in the sweet spot of learning right now, so I am not going to rob you of the opportunity to learn." - }, - { - "start": "40:35.84", - "stop": "40:38.72", - "speaker": "Tutor", - "dialogue": "I want you to give yourself some more time to question." - }, - { - "start": "40:38.88", - "stop": "40:43.48", - "speaker": "Tutor", - "dialogue": "Think back and forth and sketch what you think like." - }, - { - "start": "40:43.72", - "stop": "40:44.72", - "speaker": "Tutor", - "dialogue": "Can it start over here?" - }, - { - "start": "40:45.20", - "stop": "40:45.36", - "speaker": "Tutor", - "dialogue": "Hm?" - }, - { - "start": "40:45.40", - "stop": "40:47.20", - "speaker": "Tutor", - "dialogue": "I've never sen graphs that start over here." - }, - { - "start": "40:47.80", - "stop": "40:47.84", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "40:48.72", - "stop": "40:52.56", - "speaker": "Tutor", - "dialogue": "When I think about this relationship, it starts over here, so trust yourself." - }, - { - "start": "40:53.44", - "stop": "40:53.72", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "40:58.88", - "stop": "40:58.92", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "40:59.08", - "stop": "41:07.80", - "speaker": "Student", - "dialogue": "I mean first, I'm just going to fill this out and you know what I will make my graft this waycause." - }, - { - "start": "41:08.56", - "stop": "41:11.84", - "speaker": "Student", - "dialogue": "It's my graph, my rule." - }, - { - "start": "41:12.52", - "stop": "41:15.72", - "speaker": "Tutor", - "dialogue": "Y you all the time?" - }, - { - "start": "41:17.72", - "stop": "41:28.88", - "speaker": "Student", - "dialogue": "Y, so and then so, fifty miles per hours for one hour, and then I guess for half hour we would go to zero." - }, - { - "start": "41:29.96", - "stop": "41:44.68", - "speaker": "Student", - "dialogue": "I'm thinking Caause from intervals one to one point five, S, B to C. It state it, it's at zero miles per hour, so I'm guessing it'll go like that." - }, - { - "start": "41:46.00", - "stop": "41:49.36", - "speaker": "Student", - "dialogue": "Um, and then from C to D. that's." - }, - { - "start": "41:52.04", - "stop": "41:52.24", - "speaker": "Tutor", - "dialogue": "One." - }, - { - "start": "41:52.36", - "stop": "41:58.88", - "speaker": "Student", - "dialogue": "Point five to two point five and that ends up, so that's also fifty miles per hour." - }, - { - "start": "41:59.00", - "stop": "42:03.12", - "speaker": "Student", - "dialogue": "So if two point five is here, it would end up somewhere around here." - }, - { - "start": "42:05.12", - "stop": "42:09.88", - "speaker": "Student", - "dialogue": "And then I forgot what I said from D to E. but I'll I'll figure it out shortly." - }, - { - "start": "42:10.40", - "stop": "42:13.12", - "speaker": "Student", - "dialogue": "I think I said thirty miles per hour as well." - }, - { - "start": "42:13.28", - "stop": "42:13.64", - "speaker": "Tutor", - "dialogue": "You did." - }, - { - "start": "42:14.40", - "stop": "42:23.12", - "speaker": "Student", - "dialogue": "Okay, Okay, good, so then this ends at interval three point five, and so that would be over here" - }, - { - "start": "42:23.80", - "stop": "42:30.96", - "speaker": "Student", - "dialogue": "And then it's also thirty miles per hour for the last interval, which is at four." - }, - { - "start": "42:32.32", - "stop": "42:37.12", - "speaker": "Student", - "dialogue": "So y, this is my not very graphy graph." - }, - { - "start": "42:37.56", - "stop": "42:38.92", - "speaker": "Tutor", - "dialogue": "Wh, is it not very graphy?" - }, - { - "start": "42:40.20", - "stop": "42:52.48", - "speaker": "Student", - "dialogue": "Um, because it doesn't look like a typical graph, There is no increase anywhere or like, I mean, it doesn't look like a typical graph to me" - }, - { - "start": "42:52.72", - "stop": "42:55.56", - "speaker": "Student", - "dialogue": "Because it doesn't look like the graph on the right." - }, - { - "start": "42:56.04", - "stop": "43:01.24", - "speaker": "Student", - "dialogue": "You can't really connect the points and you would see something increasing or decreasing." - }, - { - "start": "43:01.48", - "stop": "43:03.20", - "speaker": "Student", - "dialogue": "It's just plots." - }, - { - "start": "43:04.52", - "stop": "43:06.36", - "speaker": "Tutor", - "dialogue": "And why is it just plots in your mind?" - }, - { - "start": "43:07.84", - "stop": "43:15.40", - "speaker": "Student", - "dialogue": "I mean because if you connect the all the dots, it won't, you won't get anything that that even resembles a line, do." - }, - { - "start": "43:15.60", - "stop": "43:17.28", - "speaker": "Tutor", - "dialogue": "Graphs always have to look like a line." - }, - { - "start": "43:18.28", - "stop": "43:22.48", - "speaker": "Student", - "dialogue": "No, this could just be a little Sca." - }, - { - "start": "43:22.64", - "stop": "43:24.60", - "speaker": "Student", - "dialogue": "I guess scattered in that sense." - }, - { - "start": "43:25.76", - "stop": "43:26.84", - "speaker": "Tutor", - "dialogue": "It could be a scatter plot." - }, - { - "start": "43:26.92", - "stop": "43:27.96", - "speaker": "Tutor", - "dialogue": "That's one way to think about it." - }, - { - "start": "43:28.60", - "stop": "43:28.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "43:29.12", - "stop": "43:33.68", - "speaker": "Tutor", - "dialogue": "And I recognize you probably see graphs that usually start from the origin." - }, - { - "start": "43:34.32", - "stop": "43:37.00", - "speaker": "Tutor", - "dialogue": "Yeah, and they usually are a line of some sort, right?" - }, - { - "start": "43:37.56", - "stop": "43:37.88", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "43:39.48", - "stop": "43:43.20", - "speaker": "Tutor", - "dialogue": "But just n they don't always have to start from the origin." - }, - { - "start": "43:43.76", - "stop": "43:44.60", - "speaker": "Tutor", - "dialogue": "Yeah, and they don't" - }, - { - "start": "43:44.68", - "stop": "43:45.76", - "speaker": "Tutor", - "dialogue": "Alwys have to be a line." - }, - { - "start": "43:46.64", - "stop": "43:46.68", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "43:47.28", - "stop": "43:49.76", - "speaker": "Tutor", - "dialogue": "Trust yourself if the graph looks something different." - }, - { - "start": "43:50.36", - "stop": "43:57.12", - "speaker": "Tutor", - "dialogue": "Okay even if it's different than what you've experienced usually before M. Okay, so you have a dot here?" - }, - { - "start": "43:58.20", - "stop": "43:58.24", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "43:59.68", - "stop": "44:04.04", - "speaker": "Tutor", - "dialogue": "This dot says fifty miles per hour at one hour." - }, - { - "start": "44:07.36", - "stop": "44:07.56", - "speaker": "Student", - "dialogue": "When?" - }, - { - "start": "44:07.88", - "stop": "44:19.60", - "speaker": "Tutor", - "dialogue": "You were describing this situation to me and you wrote down here, You said, From A to B. the car is travelling fifty miles per hour for an hour." - }, - { - "start": "44:20.64", - "stop": "44:20.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "44:21.12", - "stop": "44:25.52", - "speaker": "Tutor", - "dialogue": "So that means at thirty minutes into the trip, how fast is the car going?" - }, - { - "start": "44:27.08", - "stop": "44:30.24", - "speaker": "Student", - "dialogue": "Oh so butut wouldn't it still be going fifty miles an hour?" - }, - { - "start": "44:30.40", - "stop": "44:32.12", - "speaker": "Tutor", - "dialogue": "Yeahcause, it's going at a constant rate." - }, - { - "start": "44:32.52", - "stop": "44:37.84", - "speaker": "Tutor", - "dialogue": "Yeah, so your dot here shows me fifty miles an hour at the one hour mark." - }, - { - "start": "44:38.36", - "stop": "44:40.12", - "speaker": "Student", - "dialogue": "So then, would it also have to be here?" - }, - { - "start": "44:41.28", - "stop": "44:42.44", - "speaker": "Tutor", - "dialogue": "And what about at ten minutes?" - }, - { - "start": "44:42.52", - "stop": "44:43.64", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "44:44.48", - "stop": "44:46.92", - "speaker": "Student", - "dialogue": "So it would just be dots everywhere here." - }, - { - "start": "44:47.12", - "stop": "44:48.80", - "speaker": "Tutor", - "dialogue": "Would be, and those dots?" - }, - { - "start": "44:49.84", - "stop": "44:50.68", - "speaker": "Student", - "dialogue": "They could be a line." - }, - { - "start": "44:50.84", - "stop": "44:51.36", - "speaker": "Student", - "dialogue": "they could be." - }, - { - "start": "44:53.24", - "stop": "44:53.52", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "44:54.20", - "stop": "44:56.88", - "speaker": "Student", - "dialogue": "So and then would you connect it then to two?" - }, - { - "start": "44:57.28", - "stop": "44:58.08", - "speaker": "Student", - "dialogue": "Well, the Sec." - }, - { - "start": "44:58.72", - "stop": "45:03.96", - "speaker": "Tutor", - "dialogue": "So stop for a second and don't try to force yourself into saying Okay, What kind of graphs have I looked at before about?" - }, - { - "start": "45:04.00", - "stop": "45:05.20", - "speaker": "Tutor", - "dialogue": "Because you're learning something new." - }, - { - "start": "45:05.48", - "stop": "45:05.64", - "speaker": "Tutor", - "dialogue": "Oka." - }, - { - "start": "45:05.96", - "stop": "45:10.92", - "speaker": "Tutor", - "dialogue": "Yeah, so I want you to connect the graph with what you've been saying verbally." - }, - { - "start": "45:12.20", - "stop": "45:12.48", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "45:12.72", - "stop": "45:15.76", - "speaker": "Tutor", - "dialogue": "From B to C, how would you describe that verbally?" - }, - { - "start": "45:16.56", - "stop": "45:18.72", - "speaker": "Tutor", - "dialogue": "and then what would you show that on the graph?" - }, - { - "start": "45:19.76", - "stop": "45:29.64", - "speaker": "Student", - "dialogue": "Okay, so B to C, that's half an hour, so from one to one point five" - }, - { - "start": "45:30.88", - "stop": "45:36.04", - "speaker": "Student", - "dialogue": "and it's at zero miles per hour, so it would just be." - }, - { - "start": "45:37.04", - "stop": "45:46.24", - "speaker": "Student", - "dialogue": "Oh, so would you, I. I'm thinking that you would draw a point at one and then connect the fifty over as a line." - }, - { - "start": "45:46.80", - "stop": "45:54.84", - "speaker": "Student", - "dialogue": "It's like a horizontal line from from this one fifty mark to just one zero, or like zero one." - }, - { - "start": "45:55.24", - "stop": "45:56.80", - "speaker": "Tutor", - "dialogue": "In this case, show me what you mean." - }, - { - "start": "45:57.44", - "stop": "45:59.48", - "speaker": "Student", - "dialogue": "So I'm scared that." - }, - { - "start": "45:59.52", - "stop": "46:00.36", - "speaker": "Student", - "dialogue": "Do I make this wrong?" - }, - { - "start": "46:00.40", - "stop": "46:02.24", - "speaker": "Student", - "dialogue": "though I'm not going to be able to erase it." - }, - { - "start": "46:02.68", - "stop": "46:02.96", - "speaker": "Tutor", - "dialogue": "I'll he." - }, - { - "start": "46:03.16", - "stop": "46:04.92", - "speaker": "Tutor", - "dialogue": "I'll help you erase it, okay?" - }, - { - "start": "46:05.00", - "stop": "46:09.28", - "speaker": "Student", - "dialogue": "Wnt, too, so I'm thinking like this, and then it would be able to increase here." - }, - { - "start": "46:10.76", - "stop": "46:14.80", - "speaker": "Tutor", - "dialogue": "So this is saying cars driving fifty miles per hour for an hour?" - }, - { - "start": "46:15.36", - "stop": "46:16.72", - "speaker": "Tutor", - "dialogue": "Yeah, then what happens?" - }, - { - "start": "46:17.36", - "stop": "46:20.64", - "speaker": "Student", - "dialogue": "Then it goes to zero miles per hour." - }, - { - "start": "46:20.88", - "stop": "46:24.44", - "speaker": "Student", - "dialogue": "but but it doesn't increase the like distance." - }, - { - "start": "46:25.24", - "stop": "46:27.72", - "speaker": "Tutor", - "dialogue": "So that means the car instantly." - }, - { - "start": "46:28.72", - "stop": "46:28.88", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "46:29.68", - "stop": "46:33.12", - "speaker": "Tutor", - "dialogue": "Mhm, K, and then this line tells us what's happening." - }, - { - "start": "46:33.56", - "stop": "46:37.56", - "speaker": "Student", - "dialogue": "It stays at zero miles per hour for half an hour, beautiful." - }, - { - "start": "46:37.56", - "stop": "46:40.12", - "speaker": "Tutor", - "dialogue": "And you did a good job of talking about both variables at the same time." - }, - { - "start": "46:40.20", - "stop": "46:40.72", - "speaker": "Tutor", - "dialogue": "Always do that." - }, - { - "start": "46:40.96", - "stop": "46:44.24", - "speaker": "Tutor", - "dialogue": "Think about both variables at the same time and how they're related to each other." - }, - { - "start": "46:44.92", - "stop": "46:45.20", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "46:45.48", - "stop": "46:46.56", - "speaker": "Tutor", - "dialogue": "Okay, now, what?" - }, - { - "start": "46:47.68", - "stop": "47:11.92", - "speaker": "Student", - "dialogue": "Um, so from here you want to look at C to D, which is, it goes fifty miles an hour for an hour, So I mean so from mile, I guess you would have to just draw the line increasing a bit from the zero point to the fifty miles per hour." - }, - { - "start": "47:12.40", - "stop": "47:14.32", - "speaker": "Tutor", - "dialogue": "Why would you have to draw that line increasing a bit?" - }, - { - "start": "47:15.60", - "stop": "47:36.56", - "speaker": "Student", - "dialogue": "Because you, it would have, Oh, or or not, you would make the same horizontal line 'cause it starts again drastically at point five, So I mean it would go to here and then from here." - }, - { - "start": "47:36.96", - "stop": "47:38.64", - "speaker": "Tutor", - "dialogue": "So a second from here to?" - }, - { - "start": "47:38.76", - "stop": "47:40.12", - "speaker": "Student", - "dialogue": "Here, Yeah, if it's a." - }, - { - "start": "47:40.20", - "stop": "47:41.32", - "speaker": "Tutor", - "dialogue": "Stright horizontal line." - }, - { - "start": "47:41.44", - "stop": "47:43.44", - "speaker": "Tutor", - "dialogue": "What does that mean about the speed right here?" - }, - { - "start": "47:44.48", - "stop": "47:50.68", - "speaker": "Student", - "dialogue": "It still at zero, so wait, wait." - }, - { - "start": "47:50.76", - "stop": "48:00.88", - "speaker": "Student", - "dialogue": "but since it's still at one Well, since it's still at zero miles per hour, it goes from zero miles per hour to fifty miles per hour drastically." - }, - { - "start": "48:01.76", - "stop": "48:08.36", - "speaker": "Tutor", - "dialogue": "Yeah, and if you do a horizontal wy, yours, it went there instantly, which it cu." - }, - { - "start": "48:08.56", - "stop": "48:11.16", - "speaker": "Tutor", - "dialogue": "We don't know about the acceleration and all these things right." - }, - { - "start": "48:11.60", - "stop": "48:15.48", - "speaker": "Tutor", - "dialogue": "I was asking you to describe your graph in terms of these variables and you're doing a great job." - }, - { - "start": "48:16.04", - "stop": "48:18.16", - "speaker": "Student", - "dialogue": "Okay, Okay, so I guess then it wait." - }, - { - "start": "48:18.28", - "stop": "48:22.00", - "speaker": "Student", - "dialogue": "so then wouldn't it be the like, a more of a gradual line?" - }, - { - "start": "48:22.92", - "stop": "48:28.28", - "speaker": "Tutor", - "dialogue": "In this real situation, probably can a car go from zero to fifty instantly." - }, - { - "start": "48:29.88", - "stop": "48:30.00", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "48:30.60", - "stop": "48:37.76", - "speaker": "Tutor", - "dialogue": "No, it would probably, but this is a sketch anyways, and your, your line isn't completely straight, right?" - }, - { - "start": "48:38.28", - "stop": "48:38.32", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "48:38.84", - "stop": "48:48.12", - "speaker": "Tutor", - "dialogue": "But it's more of the verbal understanding of that that you know, if it's a horizontal line, that means it was an instant, zero, oh miles per hour to fifty if it's got as." - }, - { - "start": "48:48.60", - "stop": "48:51.20", - "speaker": "Student", - "dialogue": "Yeah, so should I draw this line connecting to the dot?" - }, - { - "start": "48:51.64", - "stop": "48:52.00", - "speaker": "Tutor", - "dialogue": "I don't know." - }, - { - "start": "48:52.08", - "stop": "48:52.12", - "speaker": "Tutor", - "dialogue": "you." - }, - { - "start": "48:52.24", - "stop": "48:52.48", - "speaker": "Tutor", - "dialogue": "tell me." - }, - { - "start": "48:53.44", - "stop": "48:54.72", - "speaker": "Student", - "dialogue": "I mean I think I should." - }, - { - "start": "48:54.96", - "stop": "48:57.60", - "speaker": "Student", - "dialogue": "How do I erase this without erasing everything?" - }, - { - "start": "48:57.84", - "stop": "48:59.76", - "speaker": "Tutor", - "dialogue": "What do you want to erase Point with your cursor." - }, - { - "start": "49:00.48", - "stop": "49:05.44", - "speaker": "Student", - "dialogue": "Uh, I would want to erase all of this iind of this line." - }, - { - "start": "49:05.92", - "stop": "49:08.48", - "speaker": "Tutor", - "dialogue": "So I, I hit the tall arrow button." - }, - { - "start": "49:09.12", - "stop": "49:12.80", - "speaker": "Tutor", - "dialogue": "Yeah, lick on just that segment and then I have the erase." - }, - { - "start": "49:13.76", - "stop": "49:16.92", - "speaker": "Student", - "dialogue": "Oh, see, I thought I did that before." - }, - { - "start": "49:17.40", - "stop": "49:20.88", - "speaker": "Tutor", - "dialogue": "And you, honestly, I think are the first person I've worked with on an ipad?" - }, - { - "start": "49:21.60", - "stop": "49:24.28", - "speaker": "Tutor", - "dialogue": "Okay, so it might be doing something different on the ipad." - }, - { - "start": "49:24.84", - "stop": "49:28.16", - "speaker": "Student", - "dialogue": "Yeah, ipads are alway always the last to." - }, - { - "start": "49:28.92", - "stop": "49:30.32", - "speaker": "Tutor", - "dialogue": "Let's try something real quick." - }, - { - "start": "49:30.88", - "stop": "49:31.12", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "49:31.64", - "stop": "49:34.28", - "speaker": "Tutor", - "dialogue": "Um, no, I want to do it at the end of the session." - }, - { - "start": "49:34.84", - "stop": "49:35.08", - "speaker": "Tutor", - "dialogue": "okay?" - }, - { - "start": "49:35.92", - "stop": "49:36.24", - "speaker": "Student", - "dialogue": "Sounds." - }, - { - "start": "49:36.32", - "stop": "49:39.04", - "speaker": "Tutor", - "dialogue": "Good, um, 'cause we'll test the tech on that end, but right now" - }, - { - "start": "49:39.08", - "stop": "49:40.00", - "speaker": "Tutor", - "dialogue": "it's finished with your math." - }, - { - "start": "49:40.52", - "stop": "49:54.24", - "speaker": "Student", - "dialogue": "Okay, so I'm going to make this line go here and then so from now we're at D. so from D to E, it goes to thirty miles per hour, but it goes slowly." - }, - { - "start": "49:55.00", - "stop": "50:04.04", - "speaker": "Student", - "dialogue": "I mean, not not drastically, So he would, You can make another not completely horizontal line, but just to connect the two dots." - }, - { - "start": "50:07.68", - "stop": "50:07.72", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "50:07.92", - "stop": "50:13.52", - "speaker": "Student", - "dialogue": "Then, from here, since it stays a thirty mile hour, but I guess more constantly" - }, - { - "start": "50:13.60", - "stop": "50:16.20", - "speaker": "Student", - "dialogue": "you can just connect these top two ones." - }, - { - "start": "50:17.64", - "stop": "50:20.28", - "speaker": "Tutor", - "dialogue": "And that saying that it was the average speed of thirty." - }, - { - "start": "50:20.72", - "stop": "50:24.44", - "speaker": "Tutor", - "dialogue": "Yeah, if I wanted to show the speed fluctuating, what would I do on that segment?" - }, - { - "start": "50:25.72", - "stop": "50:25.84", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "50:28.20", - "stop": "50:28.40", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "50:29.24", - "stop": "50:30.88", - "speaker": "Student", - "dialogue": "Actually, I'm not." - }, - { - "start": "50:31.08", - "stop": "50:36.60", - "speaker": "Student", - "dialogue": "I got to think about that for a second, 'cause isn't the speed flunctuat fluctuating from?" - }, - { - "start": "50:38.64", - "stop": "50:38.68", - "speaker": "Tutor", - "dialogue": "D." - }, - { - "start": "50:39.00", - "stop": "50:45.96", - "speaker": "Student", - "dialogue": "To e, oh, I mean, I guess then you would have to draw more points." - }, - { - "start": "50:47.48", - "stop": "50:47.64", - "speaker": "Tutor", - "dialogue": "Just." - }, - { - "start": "50:47.68", - "stop": "50:48.92", - "speaker": "Student", - "dialogue": "Like zigzag points." - }, - { - "start": "50:50.08", - "stop": "50:51.52", - "speaker": "Tutor", - "dialogue": "Okay, you do them." - }, - { - "start": "50:52.76", - "stop": "50:54.32", - "speaker": "Student", - "dialogue": "Wait so from D. to." - }, - { - "start": "50:54.44", - "stop": "50:56.92", - "speaker": "Tutor", - "dialogue": "E, I don't know where do you want the zigzags on why." - }, - { - "start": "50:57.92", - "stop": "51:16.16", - "speaker": "Student", - "dialogue": "Probably from D to Eve, but that'll be hard to show 'cause it's not a straight line, but I guess it would be something like that if it was to show that sometimes it's going faster and other times slower." - }, - { - "start": "51:18.60", - "stop": "51:19.32", - "speaker": "Tutor", - "dialogue": "You convinced?" - }, - { - "start": "51:21.20", - "stop": "51:22.16", - "speaker": "Student", - "dialogue": "No, what?" - }, - { - "start": "51:22.32", - "stop": "51:23.04", - "speaker": "Tutor", - "dialogue": "Are you unsure of?" - }, - { - "start": "51:24.28", - "stop": "51:27.88", - "speaker": "Student", - "dialogue": "How fast they're going at some points, and how slow they're going at others." - }, - { - "start": "51:28.24", - "stop": "51:29.48", - "speaker": "Tutor", - "dialogue": "Because you want to be exact." - }, - { - "start": "51:30.24", - "stop": "51:30.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "51:30.60", - "stop": "51:32.60", - "speaker": "Tutor", - "dialogue": "Yeah, and this is just a sketch, So you're Oke." - }, - { - "start": "51:32.68", - "stop": "51:34.60", - "speaker": "Student", - "dialogue": "Okay, all right, so I guess" - }, - { - "start": "51:34.64", - "stop": "51:35.40", - "speaker": "Student", - "dialogue": "this is good enough." - }, - { - "start": "51:36.36", - "stop": "51:37.72", - "speaker": "Tutor", - "dialogue": "Is it hard for you to do good enough?" - }, - { - "start": "51:38.76", - "stop": "51:38.80", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "51:39.00", - "stop": "51:39.88", - "speaker": "Tutor", - "dialogue": "Bit, I can tell." - }, - { - "start": "51:41.44", - "stop": "51:41.48", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "51:42.76", - "stop": "51:43.20", - "speaker": "Tutor", - "dialogue": "Yeah, cool." - }, - { - "start": "51:43.28", - "stop": "51:43.48", - "speaker": "Tutor", - "dialogue": "wait" - }, - { - "start": "51:43.52", - "stop": "51:43.56", - "speaker": "Tutor", - "dialogue": "for." - }, - { - "start": "51:43.72", - "stop": "51:46.08", - "speaker": "Tutor", - "dialogue": "Well, a good job of pushing yourself out of your comfort zone." - }, - { - "start": "51:47.20", - "stop": "51:53.76", - "speaker": "Tutor", - "dialogue": "All right, Um, just for the final part, can you label where a b, c, d, E and f would be on the new graph that you created?" - }, - { - "start": "51:54.68", - "stop": "51:59.28", - "speaker": "Student", - "dialogue": "All right, So A is here to?" - }, - { - "start": "52:00.08", - "stop": "52:02.84", - "speaker": "Student", - "dialogue": "I guess B would have multiple points." - }, - { - "start": "52:04.52", - "stop": "52:10.24", - "speaker": "Student", - "dialogue": "Why I'm thinking, Because B, it's from B is over." - }, - { - "start": "52:10.64", - "stop": "52:14.88", - "speaker": "Student", - "dialogue": "Oh, so I guess B would be here as well, but it would also be over here." - }, - { - "start": "52:17.00", - "stop": "52:17.20", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "52:17.56", - "stop": "52:18.12", - "speaker": "Student", - "dialogue": "Oh, I do't." - }, - { - "start": "52:18.72", - "stop": "52:23.12", - "speaker": "Student", - "dialogue": "this whole line is. Oh, so wait to a." - }, - { - "start": "52:26.52", - "stop": "52:26.72", - "speaker": "Tutor", - "dialogue": "Wait." - }, - { - "start": "52:26.88", - "stop": "52:28.40", - "speaker": "Student", - "dialogue": "I'm scared to delete." - }, - { - "start": "52:28.48", - "stop": "52:29.76", - "speaker": "Tutor", - "dialogue": "Some, what do you want to delete?" - }, - { - "start": "52:30.44", - "stop": "52:33.64", - "speaker": "Student", - "dialogue": "This, this B that I'm magically moving." - }, - { - "start": "52:34.24", - "stop": "52:35.60", - "speaker": "Tutor", - "dialogue": "I'm gonn to click on it and delete it." - }, - { - "start": "52:35.64", - "stop": "52:36.64", - "speaker": "Student", - "dialogue": "For you, okay?" - }, - { - "start": "52:38.36", - "stop": "52:38.48", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "52:38.60", - "stop": "52:41.72", - "speaker": "Student", - "dialogue": "Right, so I guess then this line is B." - }, - { - "start": "52:43.92", - "stop": "52:43.96", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "52:44.72", - "stop": "52:45.16", - "speaker": "Student", - "dialogue": "Line is." - }, - { - "start": "52:48.28", - "stop": "52:48.48", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "52:48.64", - "stop": "52:54.08", - "speaker": "Student", - "dialogue": "Wait, um, I gota wait." - }, - { - "start": "52:54.32", - "stop": "52:59.40", - "speaker": "Student", - "dialogue": "So if the first point is a A?" - }, - { - "start": "53:02.40", - "stop": "53:02.84", - "speaker": "Tutor", - "dialogue": "Wouldn't?" - }, - { - "start": "53:04.24", - "stop": "53:12.80", - "speaker": "Student", - "dialogue": "The first, this be, the point, would be A. The line would be a B. So then?" - }, - { - "start": "53:15.40", - "stop": "53:15.52", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "53:15.64", - "stop": "53:20.76", - "speaker": "Student", - "dialogue": "But then, this, this point, this point over here would be B still." - }, - { - "start": "53:23.52", - "stop": "53:23.56", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "53:23.64", - "stop": "53:26.04", - "speaker": "Student", - "dialogue": "Guess two points on this graph could be B." - }, - { - "start": "53:28.48", - "stop": "53:28.80", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "53:30.16", - "stop": "53:39.40", - "speaker": "Student", - "dialogue": "It has to show that, I mean in, since the speed for miles, it doesn't just stop at fif." - }, - { - "start": "53:39.60", - "stop": "53:54.56", - "speaker": "Student", - "dialogue": "It has to go to zero, so it has to start somewhere and end, so this speed of miles per hour has to end at the time of one and at speed of zero, I guess." - }, - { - "start": "53:56.04", - "stop": "54:00.48", - "speaker": "Tutor", - "dialogue": "And I hear you talking about a line segment, too, So you're saying Yeah, This line segment is a B." - }, - { - "start": "54:01.16", - "stop": "54:02.04", - "speaker": "Student", - "dialogue": "Yes, and so, I guess." - }, - { - "start": "54:02.08", - "stop": "54:04.04", - "speaker": "Tutor", - "dialogue": "This linal segment is B, C, B." - }, - { - "start": "54:04.24", - "stop": "54:08.72", - "speaker": "Student", - "dialogue": "C, Mhm, So I guess this whole this whole entire T. Okay?" - }, - { - "start": "54:08.84", - "stop": "54:08.88", - "speaker": "Student", - "dialogue": "So" - }, - { - "start": "54:10.40", - "stop": "54:11.08", - "speaker": "Student", - "dialogue": "B, C's this on?" - }, - { - "start": "54:11.20", - "stop": "54:19.24", - "speaker": "Student", - "dialogue": "I'm just going to label them a B. So's b, C. So I guess this whole line is just b like, 'cause that's technically would be the point." - }, - { - "start": "54:19.96", - "stop": "54:26.16", - "speaker": "Tutor", - "dialogue": "Here, because you're saying it's instantaneous, it can't be going fifty miles an hour, and then zero yeahre, at the same time." - }, - { - "start": "54:26.68", - "stop": "54:30.12", - "speaker": "Student", - "dialogue": "Uhhuh, okay, and then this li." - }, - { - "start": "54:30.44", - "stop": "54:37.40", - "speaker": "Student", - "dialogue": "I guess the second point would then be C over here, and C would be here as well." - }, - { - "start": "54:38.84", - "stop": "54:44.40", - "speaker": "Tutor", - "dialogue": "If this happens, H, how can C be in both of those places at once in this scenario?" - }, - { - "start": "54:44.88", - "stop": "54:49.24", - "speaker": "Student", - "dialogue": "It's I guess the same way as wait." - }, - { - "start": "54:49.40", - "stop": "54:50.24", - "speaker": "Student", - "dialogue": "Is it the same?" - }, - { - "start": "54:50.48", - "stop": "54:52.32", - "speaker": "Student", - "dialogue": "No, it's no." - }, - { - "start": "54:52.44", - "stop": "54:54.88", - "speaker": "Student", - "dialogue": "it's not that would have to be D, then, cause" - }, - { - "start": "54:55.08", - "stop": "55:05.44", - "speaker": "Student", - "dialogue": "it's not the same way as B is, So it would be C here and then C. D here and then 'cause D starts, it goes to E and then to F." - }, - { - "start": "55:06.96", - "stop": "55:08.48", - "speaker": "Tutor", - "dialogue": "And what's happening from C to D?" - }, - { - "start": "55:09.80", - "stop": "55:17.44", - "speaker": "Student", - "dialogue": "C. Oh, from C to D, it's just slowly increasing from zero miles an hour to fifty miles an hour." - }, - { - "start": "55:18.36", - "stop": "55:20.32", - "speaker": "Tutor", - "dialogue": "And is that what's happening here from C. D?" - }, - { - "start": "55:22.84", - "stop": "55:29.68", - "speaker": "Student", - "dialogue": "No, it's going at a constant rate of fifty miles, pur so." - }, - { - "start": "55:31.56", - "stop": "55:31.80", - "speaker": "Tutor", - "dialogue": "Would?" - }, - { - "start": "55:31.88", - "stop": "55:39.52", - "speaker": "Student", - "dialogue": "It also have to have just a point of being at, like a straight line of being at fifty." - }, - { - "start": "55:40.24", - "stop": "55:44.48", - "speaker": "Tutor", - "dialogue": "This is a deep physics question, right, Yes, how you think about it?" - }, - { - "start": "55:44.56", - "stop": "55:46.80", - "speaker": "Tutor", - "dialogue": "So we're not so hung up on that detail." - }, - { - "start": "55:46.88", - "stop": "55:47.40", - "speaker": "Tutor", - "dialogue": "It's just more." - }, - { - "start": "55:47.48", - "stop": "55:51.32", - "speaker": "Tutor", - "dialogue": "can you describe what's going on in your graph, which you're doing a great job of?" - }, - { - "start": "55:52.16", - "stop": "55:53.72", - "speaker": "Student", - "dialogue": "Okay, so myo graph?" - }, - { - "start": "55:54.24", - "stop": "55:55.16", - "speaker": "Student", - "dialogue": "there's no physics." - }, - { - "start": "55:56.80", - "stop": "55:57.40", - "speaker": "Tutor", - "dialogue": "In my graph." - }, - { - "start": "55:57.48", - "stop": "55:58.28", - "speaker": "Student", - "dialogue": "It's just lines." - }, - { - "start": "55:59.00", - "stop": "56:04.56", - "speaker": "Tutor", - "dialogue": "In your graph, you're saying it's possible to go from zero to fifty miles an hour instantly." - }, - { - "start": "56:05.16", - "stop": "56:05.32", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "56:06.24", - "stop": "56:07.32", - "speaker": "Tutor", - "dialogue": "In your right works." - }, - { - "start": "56:08.20", - "stop": "56:08.36", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "56:09.40", - "stop": "56:09.80", - "speaker": "Tutor", - "dialogue": "So where?" - }, - { - "start": "56:11.48", - "stop": "56:14.80", - "speaker": "Student", - "dialogue": "Let just say that, C. D, we're already going at fifty miles an hour." - }, - { - "start": "56:14.92", - "stop": "56:16.16", - "speaker": "Student", - "dialogue": "It's whole entire line." - }, - { - "start": "56:16.84", - "stop": "56:17.16", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "56:18.52", - "stop": "56:18.56", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "56:20.28", - "stop": "56:23.44", - "speaker": "Tutor", - "dialogue": "Where would C and D the way you wrote it?" - }, - { - "start": "56:23.68", - "stop": "56:23.88", - "speaker": "Student", - "dialogue": "Here." - }, - { - "start": "56:24.44", - "stop": "56:33.12", - "speaker": "Tutor", - "dialogue": "Yeah, you're increasing gradually to fifty miles an hour if you want to show in your world that C and D is fifty miles an hour the whole time." - }, - { - "start": "56:33.96", - "stop": "56:39.52", - "speaker": "Student", - "dialogue": "Yeah, so maybe my world has so much physics that I have to go so gradually." - }, - { - "start": "56:43.00", - "stop": "56:43.36", - "speaker": "Tutor", - "dialogue": "Aight." - }, - { - "start": "56:43.60", - "stop": "56:43.76", - "speaker": "Student", - "dialogue": "Well." - }, - { - "start": "56:44.04", - "stop": "56:55.36", - "speaker": "Tutor", - "dialogue": "Lucky for you we're out of time, so okay and by the bell right, but you did an excellent job of describing how you're thinking and making exeriens of these relationships." - }, - { - "start": "56:56.32", - "stop": "56:56.60", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "56:56.96", - "stop": "56:59.36", - "speaker": "Tutor", - "dialogue": "Question for you, what was this?" - }, - { - "start": "56:59.64", - "stop": "56:59.68", - "speaker": "Tutor", - "dialogue": "Li?" - }, - { - "start": "56:59.92", - "stop": "57:02.32", - "speaker": "Tutor", - "dialogue": "oh, lem, me test techal quick." - }, - { - "start": "57:02.96", - "stop": "57:03.28", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "57:04.96", - "stop": "57:09.72", - "speaker": "Tutor", - "dialogue": "Try to click on just that thing that I drew at the top and eras just it." - }, - { - "start": "57:10.28", - "stop": "57:12.48", - "speaker": "Tutor", - "dialogue": "So top arrow on the loose." - }, - { - "start": "57:12.56", - "stop": "57:12.96", - "speaker": "Tutor", - "dialogue": "I did it." - }, - { - "start": "57:13.56", - "stop": "57:13.92", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "57:14.64", - "stop": "57:18.64", - "speaker": "Tutor", - "dialogue": "So you have to just make sure that you have whatever it is you want to erase clicked." - }, - { - "start": "57:19.76", - "stop": "57:20.04", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "57:20.64", - "stop": "57:26.40", - "speaker": "Tutor", - "dialogue": "All right, so now, as a learner today, what was this experience like for you?" - }, - { - "start": "57:27.36", - "stop": "57:27.40", - "speaker": "Tutor", - "dialogue": "it?" - }, - { - "start": "57:27.56", - "stop": "57:36.12", - "speaker": "Student", - "dialogue": "Was different because I mean I do normal tutoring for math be'cause I mean regents, but um?" - }, - { - "start": "57:37.52", - "stop": "57:37.56", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "57:37.80", - "stop": "57:43.40", - "speaker": "Student", - "dialogue": "It was just weird that I wasn't getting answers when I was confused that I kind of had to work it out myself." - }, - { - "start": "57:43.60", - "stop": "57:49.16", - "speaker": "Student", - "dialogue": "Normally if I'm confused about something like, my tutor will go through it with me and kind of give me" - }, - { - "start": "57:49.28", - "stop": "57:53.24", - "speaker": "Student", - "dialogue": "the answers instead of like me fully figuring out how to do it." - }, - { - "start": "57:54.16", - "stop": "57:57.08", - "speaker": "Tutor", - "dialogue": "Ah, so what are the pros and cons for you as a learner with that?" - }, - { - "start": "57:57.80", - "stop": "58:02.12", - "speaker": "Student", - "dialogue": "I mean for me, the pro prose being that, I mean I get to learn better." - }, - { - "start": "58:02.32", - "stop": "58:07.12", - "speaker": "Student", - "dialogue": "I. I think if I'm not given answers, because when I am given answers, I kind of feel like okay." - }, - { - "start": "58:07.32", - "stop": "58:08.60", - "speaker": "Student", - "dialogue": "Now I, I get." - }, - { - "start": "58:08.76", - "stop": "58:13.04", - "speaker": "Student", - "dialogue": "I get it, but I don't know why or how or when I would have to use this." - }, - { - "start": "58:13.48", - "stop": "58:15.44", - "speaker": "Student", - "dialogue": "so this kind of made me deep diye." - }, - { - "start": "58:15.60", - "stop": "58:19.64", - "speaker": "Student", - "dialogue": "think the only con that I would possibly see is that this is time consuming." - }, - { - "start": "58:19.84", - "stop": "58:24.60", - "speaker": "Student", - "dialogue": "If Ive to figure it out all myself, like, just one question would take a long time." - }, - { - "start": "58:25.04", - "stop": "58:25.08", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "58:25.60", - "stop": "58:26.96", - "speaker": "Tutor", - "dialogue": "Learning takes time, doesn't it?" - }, - { - "start": "58:27.64", - "stop": "58:27.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "58:28.24", - "stop": "58:33.80", - "speaker": "Tutor", - "dialogue": "Finding the answer to a problem or being shown an answer to a problem can be quicker." - }, - { - "start": "58:34.48", - "stop": "58:34.52", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "58:35.00", - "stop": "58:38.48", - "speaker": "Tutor", - "dialogue": "So it depends on the situation of which one we want to prioritize." - }, - { - "start": "58:39.20", - "stop": "58:39.48", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "58:39.88", - "stop": "58:44.00", - "speaker": "Tutor", - "dialogue": "Any feedback for me, things that would have been more helpful for you as a learner." - }, - { - "start": "58:44.64", - "stop": "58:46.32", - "speaker": "Student", - "dialogue": "No, I. I think it was really helpful." - }, - { - "start": "58:46.52", - "stop": "58:48.92", - "speaker": "Student", - "dialogue": "I. I. I like that you didn't give me any answers." - }, - { - "start": "58:49.04", - "stop": "58:54.08", - "speaker": "Student", - "dialogue": "That really made me think critically, and just, I guess think more than I normally would." - }, - { - "start": "58:54.76", - "stop": "59:00.00", - "speaker": "Tutor", - "dialogue": "What are some things that you thought about or things that you feel like you learned or made sensi of or clarified?" - }, - { - "start": "59:01.00", - "stop": "59:06.88", - "speaker": "Student", - "dialogue": "I mean, I definitely remembered the formula for slope yea, and I guess" - }, - { - "start": "59:07.04", - "stop": "59:15.08", - "speaker": "Student", - "dialogue": "just in general that graphs, they don't always have to look conventional or they don't always have that same linear function." - }, - { - "start": "59:15.92", - "stop": "59:16.68", - "speaker": "Tutor", - "dialogue": "What do graphs do?" - }, - { - "start": "59:16.80", - "stop": "59:16.92", - "speaker": "Tutor", - "dialogue": "then?" - }, - { - "start": "59:17.04", - "stop": "59:18.16", - "speaker": "Tutor", - "dialogue": "what's the purpose of a graph?" - }, - { - "start": "59:19.56", - "stop": "59:25.96", - "speaker": "Student", - "dialogue": "Just to show a sample of data, I guess with, like visually, see the sample of data." - }, - { - "start": "59:26.96", - "stop": "59:32.32", - "speaker": "Tutor", - "dialogue": "Yet they visually describe how two things are changing in relation to each other." - }, - { - "start": "59:33.52", - "stop": "59:37.24", - "speaker": "Tutor", - "dialogue": "So here you always have something on the Ex axis that's changing." - }, - { - "start": "59:38.00", - "stop": "59:40.64", - "speaker": "Tutor", - "dialogue": "You always have something on the Y axis that's changing." - }, - { - "start": "59:41.28", - "stop": "59:42.48", - "speaker": "Tutor", - "dialogue": "It might be increasing." - }, - { - "start": "59:42.68", - "stop": "59:45.16", - "speaker": "Tutor", - "dialogue": "it might be decreasing, or it might be staying the same." - }, - { - "start": "59:46.84", - "stop": "59:46.88", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "59:47.12", - "stop": "59:55.56", - "speaker": "Tutor", - "dialogue": "The inside, this is showing you how these two things that are changing are changing in relation to each other." - }, - { - "start": "59:56.64", - "stop": "59:56.84", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "59:56.96", - "stop": "59:59.64", - "speaker": "Tutor", - "dialogue": "And are they changing at a constant rate or not?" - }, - { - "start": "10:00:00.48", - "stop": "10:00:02.80", - "speaker": "Tutor", - "dialogue": "Or are is one changing while the other is not?" - }, - { - "start": "10:00:03.32", - "stop": "10:00:06.68", - "speaker": "Tutor", - "dialogue": "That's what a graph helps us make sense of pictorially." - }, - { - "start": "10:00:07.44", - "stop": "10:00:07.84", - "speaker": "Student", - "dialogue": "Ahuh." - }, - { - "start": "10:00:08.40", - "stop": "10:00:13.08", - "speaker": "Tutor", - "dialogue": "So always remember that in any type of graph you're working with what's the situation?" - }, - { - "start": "10:00:14.48", - "stop": "10:00:15.32", - "speaker": "Tutor", - "dialogue": "What are the units?" - }, - { - "start": "10:00:16.32", - "stop": "10:00:19.56", - "speaker": "Tutor", - "dialogue": "What's changing or saying the same?" - }, - { - "start": "10:00:19.80", - "stop": "10:00:21.96", - "speaker": "Tutor", - "dialogue": "And how are they changing in relation to each other?" - }, - { - "start": "10:00:22.20", - "stop": "10:00:25.96", - "speaker": "Tutor", - "dialogue": "And that will help you with any type of mathematical graphs that you come encounter." - }, - { - "start": "10:00:26.04", - "stop": "10:00:27.12", - "speaker": "Student", - "dialogue": "With all right?" - }, - { - "start": "10:00:27.80", - "stop": "10:00:28.76", - "speaker": "Tutor", - "dialogue": "Cool y." - }, - { - "start": "10:00:29.16", - "stop": "10:00:29.40", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "10:00:29.64", - "stop": "10:00:31.20", - "speaker": "Tutor", - "dialogue": "I thank you so much for helping." - }, - { - "start": "10:00:31.60", - "stop": "10:00:33.12", - "speaker": "Tutor", - "dialogue": "All right, Sure, have a good day." - } -] \ No newline at end of file diff --git a/data/amber/6212022AK.json b/data/amber/6212022AK.json deleted file mode 100644 index c53e8a7..0000000 --- a/data/amber/6212022AK.json +++ /dev/null @@ -1,3752 +0,0 @@ -[ - { - "start": "00:01.68", - "stop": "00:04.24", - "speaker": "Tutor", - "dialogue": "Right, perfect, can you see something on your screen?" - }, - { - "start": "00:05.12", - "stop": "00:05.28", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "00:06.76", - "stop": "00:07.80", - "speaker": "Tutor", - "dialogue": "Do what do you see?" - }, - { - "start": "00:09.28", - "stop": "00:11.68", - "speaker": "Student", - "dialogue": "I only see one diagram though that's." - }, - { - "start": "00:11.76", - "stop": "00:12.08", - "speaker": "Tutor", - "dialogue": "Perfect." - }, - { - "start": "00:12.24", - "stop": "00:13.64", - "speaker": "Tutor", - "dialogue": "That's what you should see right now." - }, - { - "start": "00:15.16", - "stop": "00:22.08", - "speaker": "Tutor", - "dialogue": "Okay, so I'm going to ask you to read the words that you see on the page and explain to me" - }, - { - "start": "00:22.28", - "stop": "00:24.64", - "speaker": "Tutor", - "dialogue": "what you understand is happening in this situation." - }, - { - "start": "00:26.68", - "stop": "00:26.84", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "00:28.52", - "stop": "00:28.56", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "00:28.64", - "stop": "00:34.08", - "speaker": "Student", - "dialogue": "Map shows a car journey from Providence, R. I to Newark, New Jersey to New York City." - }, - { - "start": "00:37.60", - "stop": "00:39.32", - "speaker": "Tutor", - "dialogue": "So what's happening in this situation?" - }, - { - "start": "00:41.32", - "stop": "00:49.24", - "speaker": "Student", - "dialogue": "Okay, so a car is traveling from Providence between New York City to Newark, New Jersey." - }, - { - "start": "00:51.24", - "stop": "00:55.36", - "speaker": "Tutor", - "dialogue": "What are some things that we might be able to measure in this journey?" - }, - { - "start": "01:04.88", - "stop": "01:05.20", - "speaker": "Student", - "dialogue": "States." - }, - { - "start": "01:07.12", - "stop": "01:07.28", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "01:07.32", - "stop": "01:07.56", - "speaker": "Student", - "dialogue": "Would?" - }, - { - "start": "01:07.60", - "stop": "01:08.64", - "speaker": "Tutor", - "dialogue": "We measure the distance." - }, - { - "start": "01:08.76", - "stop": "01:09.88", - "speaker": "Tutor", - "dialogue": "What unit would we use?" - }, - { - "start": "01:17.60", - "stop": "01:18.80", - "speaker": "Student", - "dialogue": "Oh, say, use a graph." - }, - { - "start": "01:19.72", - "stop": "01:23.12", - "speaker": "Tutor", - "dialogue": "Okay, we could use a graph to show that distance." - }, - { - "start": "01:23.28", - "stop": "01:23.68", - "speaker": "Tutor", - "dialogue": "For sure." - }, - { - "start": "01:23.92", - "stop": "01:34.96", - "speaker": "Tutor", - "dialogue": "Yeah, if we're going to measure the distance from Providence to Newark, for example, would we measure it in how many steps it takes us to get there?" - }, - { - "start": "01:36.20", - "stop": "01:38.12", - "speaker": "Tutor", - "dialogue": "Would we measure it in something else?" - }, - { - "start": "01:48.12", - "stop": "01:48.32", - "speaker": "Student", - "dialogue": "Since?" - }, - { - "start": "01:48.44", - "stop": "01:48.64", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "01:48.68", - "stop": "01:59.04", - "speaker": "Student", - "dialogue": "Seeing I ninety five, I was thinking that we could multiply ninety-five by three, since there's three landmarks." - }, - { - "start": "02:00.12", - "stop": "02:03.00", - "speaker": "Tutor", - "dialogue": "Ah, what would that ninety-five be keeping track of?" - }, - { - "start": "02:03.20", - "stop": "02:03.56", - "speaker": "Tutor", - "dialogue": "Do you know?" - }, - { - "start": "02:05.80", - "stop": "02:09.40", - "speaker": "Student", - "dialogue": "I know's the engine state of that, but I clearly don't know." - }, - { - "start": "02:09.92", - "stop": "02:10.12", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "02:10.56", - "stop": "02:13.00", - "speaker": "Tutor", - "dialogue": "And it was so cool when we're working together." - }, - { - "start": "02:14.52", - "stop": "02:18.56", - "speaker": "Tutor", - "dialogue": "It's cool not to know things, cause that means that you get to learn things right." - }, - { - "start": "02:18.96", - "stop": "02:21.32", - "speaker": "Tutor", - "dialogue": "If you know everything, then we're not going to learn anything." - }, - { - "start": "02:22.00", - "stop": "02:22.32", - "speaker": "Student", - "dialogue": "Nope." - }, - { - "start": "02:22.56", - "stop": "02:25.40", - "speaker": "Tutor", - "dialogue": "Yeah, so as we're working, love to hear that more too." - }, - { - "start": "02:25.52", - "stop": "02:26.72", - "speaker": "Tutor", - "dialogue": "like, I'm not sure about this" - }, - { - "start": "02:27.08", - "stop": "02:30.08", - "speaker": "Tutor", - "dialogue": "or I don't know about this, or I think it might be this." - }, - { - "start": "02:30.36", - "stop": "02:32.60", - "speaker": "Tutor", - "dialogue": "It's okay to take those risks, okay?" - }, - { - "start": "02:34.08", - "stop": "02:34.20", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "02:34.32", - "stop": "02:37.52", - "speaker": "Tutor", - "dialogue": "Right, so we're going to measure distance" - }, - { - "start": "02:37.68", - "stop": "02:42.76", - "speaker": "Tutor", - "dialogue": "you've said, But we're not quite sure how we would measure that distance yet." - }, - { - "start": "02:46.08", - "stop": "02:46.68", - "speaker": "Tutor", - "dialogue": "Is that true?" - }, - { - "start": "02:47.76", - "stop": "02:48.32", - "speaker": "Tutor", - "dialogue": "It's true." - }, - { - "start": "02:48.64", - "stop": "02:51.20", - "speaker": "Tutor", - "dialogue": "Okay, anything else that we could measure?" - }, - { - "start": "02:59.08", - "stop": "03:03.84", - "speaker": "Student", - "dialogue": "I'll say measure the lak between New Yark and New York City, I guess." - }, - { - "start": "03:04.52", - "stop": "03:06.16", - "speaker": "Tutor", - "dialogue": "What was what the length mean?" - }, - { - "start": "03:06.32", - "stop": "03:07.16", - "speaker": "Tutor", - "dialogue": "Tell me more about that." - }, - { - "start": "03:08.88", - "stop": "03:14.16", - "speaker": "Student", - "dialogue": "Mean likeum, The lake is the border of between New York City and New Jersey." - }, - { - "start": "03:15.68", - "stop": "03:19.12", - "speaker": "Tutor", - "dialogue": "Okay, what about?" - }, - { - "start": "03:21.92", - "stop": "03:22.16", - "speaker": "Tutor", - "dialogue": "let me?" - }, - { - "start": "03:22.72", - "stop": "03:24.04", - "speaker": "Tutor", - "dialogue": "Um, let's try this one." - }, - { - "start": "03:24.36", - "stop": "03:26.56", - "speaker": "Tutor", - "dialogue": "I'm really interested to hear how you think about this." - }, - { - "start": "03:28.12", - "stop": "03:31.52", - "speaker": "Tutor", - "dialogue": "If you put your actually, No, I'm gonna change my mind." - }, - { - "start": "03:31.88", - "stop": "03:35.88", - "speaker": "Tutor", - "dialogue": "See you get to change your mind and I get to change my mind, too cool." - }, - { - "start": "03:36.52", - "stop": "03:36.80", - "speaker": "Tutor", - "dialogue": "cool." - }, - { - "start": "03:37.08", - "stop": "03:45.48", - "speaker": "Tutor", - "dialogue": "All right, I'm going to uncover this one and now we have a map." - }, - { - "start": "03:46.84", - "stop": "04:00.16", - "speaker": "Tutor", - "dialogue": "endigraph, Describe and explain what is happening during each stage of the journey as you look and make sense of the graph and the map." - }, - { - "start": "04:05.60", - "stop": "04:10.08", - "speaker": "Student", - "dialogue": "According to my calculations of what I see under graph, I see that." - }, - { - "start": "04:12.64", - "stop": "04:12.68", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "04:12.88", - "stop": "04:18.60", - "speaker": "Student", - "dialogue": "Takes one hour to get from Pe A to point B within fifty miles." - }, - { - "start": "04:20.72", - "stop": "04:23.12", - "speaker": "Tutor", - "dialogue": "Are you seeing that on the map or the graph?" - }, - { - "start": "04:24.24", - "stop": "04:24.80", - "speaker": "Student", - "dialogue": "The graph." - }, - { - "start": "04:25.40", - "stop": "04:27.84", - "speaker": "Tutor", - "dialogue": "Okay, what else do you see?" - }, - { - "start": "04:33.44", - "stop": "04:42.76", - "speaker": "Student", - "dialogue": "Okay, I see that B and C is at a constant rate, since the car hasn't moved for the half hour from one." - }, - { - "start": "04:45.16", - "stop": "04:46.12", - "speaker": "Tutor", - "dialogue": "Constant rate." - }, - { - "start": "04:46.40", - "stop": "04:47.24", - "speaker": "Tutor", - "dialogue": "What does that mean?" - }, - { - "start": "04:49.52", - "stop": "04:55.80", - "speaker": "Student", - "dialogue": "It means like if something doesn't move, it stays on a certain point on to Exax syst." - }, - { - "start": "04:57.20", - "stop": "05:03.52", - "speaker": "Tutor", - "dialogue": "Okay, so you make sense of constant rate as something that doesn't move?" - }, - { - "start": "05:05.08", - "stop": "05:05.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "05:09.20", - "stop": "05:11.60", - "speaker": "Tutor", - "dialogue": "You're helping me understand how you think right now." - }, - { - "start": "05:14.36", - "stop": "05:14.40", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "05:14.72", - "stop": "05:21.88", - "speaker": "Tutor", - "dialogue": "About from A to B is that a constant rate?" - }, - { - "start": "05:27.92", - "stop": "05:29.84", - "speaker": "Student", - "dialogue": "Let me look aut the graph for a minute, Sure." - }, - { - "start": "05:30.92", - "stop": "05:31.20", - "speaker": "Tutor", - "dialogue": "Thanks." - }, - { - "start": "05:48.72", - "stop": "05:55.04", - "speaker": "Student", - "dialogue": "I would say yesky." - }, - { - "start": "05:55.56", - "stop": "05:55.60", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "05:56.28", - "stop": "05:59.28", - "speaker": "Student", - "dialogue": "The reason why I say it's constant because." - }, - { - "start": "06:02.56", - "stop": "06:02.60", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "06:02.84", - "stop": "06:06.80", - "speaker": "Student", - "dialogue": "Use the rice overrun method in school when I use graphs and things like that." - }, - { - "start": "06:09.84", - "stop": "06:09.88", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "06:11.48", - "stop": "06:12.04", - "speaker": "Student", - "dialogue": "I see." - }, - { - "start": "06:13.88", - "stop": "06:13.92", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "06:14.20", - "stop": "06:19.12", - "speaker": "Student", - "dialogue": "I go two units and I go up five units." - }, - { - "start": "06:24.28", - "stop": "06:25.96", - "speaker": "Tutor", - "dialogue": "And that makes it a constant rate." - }, - { - "start": "06:27.04", - "stop": "06:27.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "06:28.80", - "stop": "06:38.24", - "speaker": "Tutor", - "dialogue": "So a constant rate in your mind has something to do with rise over run, has something to do with graphs, and has something to do with not moving." - }, - { - "start": "06:43.16", - "stop": "06:45.36", - "speaker": "Student", - "dialogue": "Um, actually, I don't know." - }, - { - "start": "06:45.72", - "stop": "06:46.80", - "speaker": "Student", - "dialogue": "I forgot what it's called." - }, - { - "start": "06:46.92", - "stop": "06:49.80", - "speaker": "Student", - "dialogue": "When a line doesn't move, two units don't move." - }, - { - "start": "06:50.16", - "stop": "06:51.60", - "speaker": "Student", - "dialogue": "Stay the same on x. xs." - }, - { - "start": "06:52.64", - "stop": "07:00.00", - "speaker": "Tutor", - "dialogue": "Ah, so there's something special about that, B to C, and yes, you get, maye a constant rate, or it may be called something else." - }, - { - "start": "07:02.08", - "stop": "07:03.36", - "speaker": "Student", - "dialogue": "It may be called something else." - }, - { - "start": "07:03.64", - "stop": "07:04.32", - "speaker": "Student", - "dialogue": "Yes, okay." - }, - { - "start": "07:04.80", - "stop": "07:13.64", - "speaker": "Tutor", - "dialogue": "Cool aesollight, I'm we're going to um, take a look at the map" - }, - { - "start": "07:13.80", - "stop": "07:18.52", - "speaker": "Tutor", - "dialogue": "now, cause you've done some cool talking about the graph and on the map." - }, - { - "start": "07:19.00", - "stop": "07:30.52", - "speaker": "Tutor", - "dialogue": "Want you to take your cursor and show me the trace along the map to show how the car moves in the journey?" - }, - { - "start": "07:36.12", - "stop": "07:37.20", - "speaker": "Student", - "dialogue": "'mkise my arrow." - }, - { - "start": "07:37.28", - "stop": "07:40.00", - "speaker": "Tutor", - "dialogue": "I sure can yet explain to me what you're doing as you move it." - }, - { - "start": "07:42.72", - "stop": "07:48.92", - "speaker": "Student", - "dialogue": "Okay, Som, as a move from Providence or I, I see, M that the line is making." - }, - { - "start": "07:50.00", - "stop": "07:51.32", - "speaker": "Student", - "dialogue": "The line is kind of crooked." - }, - { - "start": "07:57.00", - "stop": "07:57.12", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "07:57.24", - "stop": "08:04.64", - "speaker": "Student", - "dialogue": "The way it's make its way to New York City, the line is actually really crooked going to New Jersey." - }, - { - "start": "08:06.88", - "stop": "08:10.96", - "speaker": "Tutor", - "dialogue": "And if this is a map, what is that line representing?" - }, - { - "start": "08:14.16", - "stop": "08:15.40", - "speaker": "Student", - "dialogue": "A nonconstant rate." - }, - { - "start": "08:16.60", - "stop": "08:19.56", - "speaker": "Tutor", - "dialogue": "Ah, so you think something about rate might be on the map, too." - }, - { - "start": "08:21.76", - "stop": "08:27.72", - "speaker": "Tutor", - "dialogue": "K. We're going to pretend like this line that you just drew is a road." - }, - { - "start": "08:29.92", - "stop": "08:32.52", - "speaker": "Tutor", - "dialogue": "And if this is a map, we're going to start." - }, - { - "start": "08:32.88", - "stop": "08:33.48", - "speaker": "Tutor", - "dialogue": "Yep, right there." - }, - { - "start": "08:33.52", - "stop": "08:33.76", - "speaker": "Tutor", - "dialogue": "Where you?" - }, - { - "start": "08:34.12", - "stop": "08:34.64", - "speaker": "Tutor", - "dialogue": "That's your car." - }, - { - "start": "08:34.80", - "stop": "08:36.56", - "speaker": "Tutor", - "dialogue": "So we're going to turn like your arrow is your car." - }, - { - "start": "08:37.12", - "stop": "08:38.40", - "speaker": "Tutor", - "dialogue": "You start in Providence." - }, - { - "start": "08:38.76", - "stop": "08:43.64", - "speaker": "Tutor", - "dialogue": "You drive your car along this road and you're right." - }, - { - "start": "08:43.72", - "stop": "08:44.28", - "speaker": "Tutor", - "dialogue": "It's not straight." - }, - { - "start": "08:44.36", - "stop": "08:45.92", - "speaker": "Tutor", - "dialogue": "It's kind of bumpy and curby, right?" - }, - { - "start": "08:46.52", - "stop": "08:46.76", - "speaker": "Student", - "dialogue": "Yup." - }, - { - "start": "08:47.04", - "stop": "08:50.84", - "speaker": "Tutor", - "dialogue": "Yup, and then we go through New York City, and there's some more curves." - }, - { - "start": "08:51.36", - "stop": "08:53.72", - "speaker": "Tutor", - "dialogue": "And then where do we end up in this journey?" - }, - { - "start": "08:54.84", - "stop": "08:55.64", - "speaker": "Tutor", - "dialogue": "Where does it end?" - }, - { - "start": "08:58.64", - "stop": "08:59.20", - "speaker": "Student", - "dialogue": "It ends." - }, - { - "start": "09:01.44", - "stop": "09:01.48", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "09:01.84", - "stop": "09:03.96", - "speaker": "Student", - "dialogue": "Um, a few miles towards Newark." - }, - { - "start": "09:05.64", - "stop": "09:07.24", - "speaker": "Tutor", - "dialogue": "So we're going to start in Providence." - }, - { - "start": "09:07.36", - "stop": "09:10.08", - "speaker": "Tutor", - "dialogue": "We're going to drive on the road, and we're going to end up in Newark." - }, - { - "start": "09:10.64", - "stop": "09:12.20", - "speaker": "Tutor", - "dialogue": "That's what the map is Showing us" - }, - { - "start": "09:14.24", - "stop": "09:15.20", - "speaker": "Tutor", - "dialogue": "Any questions on that?" - }, - { - "start": "09:17.40", - "stop": "09:17.52", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "09:19.56", - "stop": "09:24.92", - "speaker": "Tutor", - "dialogue": "Okay, so now I am going to move along the map, just like you did." - }, - { - "start": "09:26.12", - "stop": "09:42.92", - "speaker": "Tutor", - "dialogue": "I'm going to be the car on the map, And while I'm moving, I want you to have your arrow on the graph, and you show me where your arrow would be on the graph, dependent on where I am on the map." - }, - { - "start": "09:44.00", - "stop": "09:44.16", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "09:44.64", - "stop": "09:51.76", - "speaker": "Tutor", - "dialogue": "Okay, so if I am up here in Providence, where would your arrow be on the graph that represents the start of the journey?" - }, - { - "start": "09:53.00", - "stop": "10:01.00", - "speaker": "Tutor", - "dialogue": "Okay, and if I'm down here in Newark, where would your arrow be on the graph on point F?" - }, - { - "start": "10:01.60", - "stop": "10:02.88", - "speaker": "Tutor", - "dialogue": "That's the end of the journey." - }, - { - "start": "10:03.76", - "stop": "10:04.24", - "speaker": "Tutor", - "dialogue": "K soonow." - }, - { - "start": "10:04.24", - "stop": "10:05.28", - "speaker": "Tutor", - "dialogue": "I'm going to go back to the start." - }, - { - "start": "10:06.44", - "stop": "10:06.92", - "speaker": "Tutor", - "dialogue": "You got." - }, - { - "start": "10:07.04", - "stop": "10:10.72", - "speaker": "Tutor", - "dialogue": "Yep, and I'm driving driving driving." - }, - { - "start": "10:10.88", - "stop": "10:12.72", - "speaker": "Tutor", - "dialogue": "Where would your as I move?" - }, - { - "start": "10:13.80", - "stop": "10:15.40", - "speaker": "Tutor", - "dialogue": "Where would your arrow need to be?" - }, - { - "start": "10:15.96", - "stop": "10:17.72", - "speaker": "Tutor", - "dialogue": "So you think, Ah, what's happening here?" - }, - { - "start": "10:22.40", - "stop": "10:23.64", - "speaker": "Student", - "dialogue": "You're moving moving." - }, - { - "start": "10:24.04", - "stop": "10:27.48", - "speaker": "Tutor", - "dialogue": "Can you be more specific about what you know about how we're moving?" - }, - { - "start": "10:29.04", - "stop": "10:32.44", - "speaker": "Student", - "dialogue": "You're moving really oddly like not even in a straight line." - }, - { - "start": "10:32.88", - "stop": "10:40.52", - "speaker": "Tutor", - "dialogue": "Not in a straight line, so how come the road is not in a straight line over here, but the graph is a straight line." - }, - { - "start": "10:53.04", - "stop": "10:53.28", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "10:53.36", - "stop": "10:53.40", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "10:53.72", - "stop": "11:01.88", - "speaker": "Student", - "dialogue": "The reason why it's not it's in the glitch line is because you're making adjustments towards your destination." - }, - { - "start": "11:06.20", - "stop": "11:10.36", - "speaker": "Tutor", - "dialogue": "O, let me help see if I understand what you're saying there." - }, - { - "start": "11:10.52", - "stop": "11:15.48", - "speaker": "Tutor", - "dialogue": "so it'll help me if you draw some things over on this map, so I can really understand your thinking." - }, - { - "start": "11:17.72", - "stop": "11:20.88", - "speaker": "Tutor", - "dialogue": "What where would we label Point A on the map?" - }, - { - "start": "11:23.36", - "stop": "11:24.76", - "speaker": "Tutor", - "dialogue": "Can you use the tools to label?" - }, - { - "start": "11:24.80", - "stop": "11:24.84", - "speaker": "Tutor", - "dialogue": "It?" - }, - { - "start": "11:25.40", - "stop": "11:27.84", - "speaker": "Tutor", - "dialogue": "Can either use the text-box or the drawing tool." - }, - { - "start": "11:28.72", - "stop": "11:28.96", - "speaker": "Student", - "dialogue": "Sure." - }, - { - "start": "11:36.56", - "stop": "11:42.32", - "speaker": "Tutor", - "dialogue": "And now we're going to label A, where would point B be located?" - }, - { - "start": "11:53.28", - "stop": "11:54.80", - "speaker": "Tutor", - "dialogue": "Can you put a dot on the map" - }, - { - "start": "11:55.00", - "stop": "11:57.08", - "speaker": "Tutor", - "dialogue": "For where you think that point would be?" - }, - { - "start": "12:04.72", - "stop": "12:08.00", - "speaker": "Tutor", - "dialogue": "What does B represent on the graph?" - }, - { - "start": "12:11.72", - "stop": "12:21.28", - "speaker": "Student", - "dialogue": "Bent, the total miles have gone when X is one, which is one hour of driving." - }, - { - "start": "12:22.12", - "stop": "12:32.48", - "speaker": "Tutor", - "dialogue": "So at point B, the car has traveleed fifty miles and the car has been on the road for a period of one hour." - }, - { - "start": "12:33.44", - "stop": "12:33.60", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "12:34.20", - "stop": "12:38.60", - "speaker": "Tutor", - "dialogue": "Ok, where do you see Ab on the map?" - }, - { - "start": "12:45.00", - "stop": "12:49.80", - "speaker": "Student", - "dialogue": "I see Ab in the first um, crooked curve." - }, - { - "start": "12:50.92", - "stop": "12:53.68", - "speaker": "Tutor", - "dialogue": "Okay, so is it this?" - }, - { - "start": "12:54.24", - "stop": "12:55.12", - "speaker": "Tutor", - "dialogue": "Oh, I don't want that." - }, - { - "start": "12:57.72", - "stop": "12:58.68", - "speaker": "Tutor", - "dialogue": "I want this tool." - }, - { - "start": "13:01.80", - "stop": "13:13.68", - "speaker": "Tutor", - "dialogue": "So if I were to make this line purple for a B, can you show where that segment is represented on the map also in purple?" - }, - { - "start": "13:17.72", - "stop": "13:17.88", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "13:20.64", - "stop": "13:25.32", - "speaker": "Tutor", - "dialogue": "Cool, so use your drawing tool and change the colur to purple and draw it on the map." - }, - { - "start": "13:41.40", - "stop": "13:41.44", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "13:41.52", - "stop": "13:41.80", - "speaker": "Tutor", - "dialogue": "Can't?" - }, - { - "start": "13:41.92", - "stop": "13:45.12", - "speaker": "Student", - "dialogue": "Change to colorando the market thing." - }, - { - "start": "13:45.28", - "stop": "13:45.68", - "speaker": "Student", - "dialogue": "it doesn't." - }, - { - "start": "13:45.80", - "stop": "13:48.40", - "speaker": "Tutor", - "dialogue": "Okay, up at the top there's a little." - }, - { - "start": "13:50.12", - "stop": "13:52.32", - "speaker": "Tutor", - "dialogue": "Do you see my my pointer right here?" - }, - { - "start": "13:52.80", - "stop": "13:57.64", - "speaker": "Tutor", - "dialogue": "Yes, right above it do you see a a rectangle that says color." - }, - { - "start": "14:00.96", - "stop": "14:02.80", - "speaker": "Student", - "dialogue": "I don't see anything like that, okay?" - }, - { - "start": "14:03.20", - "stop": "14:07.04", - "speaker": "Tutor", - "dialogue": "Then you tell me what to draw purple on the map and I'll draw it for you." - }, - { - "start": "14:09.52", - "stop": "14:10.44", - "speaker": "Tutor", - "dialogue": "Jummy dry here." - }, - { - "start": "14:14.76", - "stop": "14:14.80", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "14:15.16", - "stop": "14:15.28", - "speaker": "Student", - "dialogue": "Um?" - }, - { - "start": "14:15.52", - "stop": "14:17.76", - "speaker": "Student", - "dialogue": "you talk about between A and B, right, correct?" - }, - { - "start": "14:19.20", - "stop": "14:19.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "14:19.56", - "stop": "14:20.80", - "speaker": "Student", - "dialogue": "So you go up?" - }, - { - "start": "14:22.92", - "stop": "14:23.08", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "14:24.08", - "stop": "14:24.44", - "speaker": "Student", - "dialogue": "Right there." - }, - { - "start": "14:24.56", - "stop": "14:25.48", - "speaker": "Tutor", - "dialogue": "Tell me when to stop." - }, - { - "start": "14:27.08", - "stop": "14:27.36", - "speaker": "Tutor", - "dialogue": "stop." - }, - { - "start": "14:27.84", - "stop": "14:28.04", - "speaker": "Tutor", - "dialogue": "Ah" - }, - { - "start": "14:28.28", - "stop": "14:28.56", - "speaker": "Tutor", - "dialogue": "coqol." - }, - { - "start": "14:28.84", - "stop": "14:30.16", - "speaker": "Tutor", - "dialogue": "Okay, So Ab" - }, - { - "start": "14:30.48", - "stop": "14:34.76", - "speaker": "Tutor", - "dialogue": "on the graph is represented by Ab" - }, - { - "start": "14:34.96", - "stop": "14:36.04", - "speaker": "Tutor", - "dialogue": "on the map over here." - }, - { - "start": "14:37.96", - "stop": "14:38.20", - "speaker": "Tutor", - "dialogue": "That's what." - }, - { - "start": "14:38.60", - "stop": "14:38.64", - "speaker": "Tutor", - "dialogue": "Es" - }, - { - "start": "14:39.04", - "stop": "14:39.32", - "speaker": "Tutor", - "dialogue": "cool." - }, - { - "start": "14:39.56", - "stop": "14:40.84", - "speaker": "Tutor", - "dialogue": "Okay, So keep going." - }, - { - "start": "14:41.24", - "stop": "14:46.84", - "speaker": "Tutor", - "dialogue": "Can you label B C on Maphm?" - }, - { - "start": "14:55.60", - "stop": "14:57.72", - "speaker": "Tutor", - "dialogue": "Where would C be located?" - }, - { - "start": "15:21.20", - "stop": "15:22.60", - "speaker": "Tutor", - "dialogue": "And how did you decide to put" - }, - { - "start": "15:22.72", - "stop": "15:23.16", - "speaker": "Tutor", - "dialogue": "Se there?" - }, - { - "start": "15:25.48", - "stop": "15:30.80", - "speaker": "Student", - "dialogue": "Because in between being seen the graph, it doesn't move up or down." - }, - { - "start": "15:31.80", - "stop": "15:33.72", - "speaker": "Tutor", - "dialogue": "You said it doesn't move." - }, - { - "start": "15:34.36", - "stop": "15:35.60", - "speaker": "Tutor", - "dialogue": "What does not move." - }, - { - "start": "15:37.64", - "stop": "15:40.08", - "speaker": "Student", - "dialogue": "I'm saying that the Y axis doesn't move O." - }, - { - "start": "15:40.52", - "stop": "15:46.08", - "speaker": "Tutor", - "dialogue": "That ax, okay, So that the Y axis is not changing." - }, - { - "start": "15:47.40", - "stop": "15:53.12", - "speaker": "Tutor", - "dialogue": "That means miles are not increasing and they're not decreasing." - }, - { - "start": "15:53.92", - "stop": "15:56.04", - "speaker": "Tutor", - "dialogue": "True miles are just staying the same." - }, - { - "start": "15:59.04", - "stop": "15:59.16", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "15:59.72", - "stop": "16:04.88", - "speaker": "Tutor", - "dialogue": "So if the miles are staying, the same has the car traveleed at all." - }, - { - "start": "16:05.80", - "stop": "16:05.92", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "16:08.48", - "stop": "16:11.00", - "speaker": "Tutor", - "dialogue": "I am curious about sea being right here." - }, - { - "start": "16:11.60", - "stop": "16:12.96", - "speaker": "Student", - "dialogue": "Out to look at it again, Oh" - }, - { - "start": "16:13.08", - "stop": "16:13.28", - "speaker": "Student", - "dialogue": "cool." - }, - { - "start": "16:13.56", - "stop": "16:15.52", - "speaker": "Tutor", - "dialogue": "You want to change your mind or revise your thinking?" - }, - { - "start": "16:16.00", - "stop": "16:16.12", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:16.64", - "stop": "16:18.04", - "speaker": "Tutor", - "dialogue": "Are we allowed to do that Enouth?" - }, - { - "start": "16:18.20", - "stop": "16:19.72", - "speaker": "Tutor", - "dialogue": "Can we change our mind and revise?" - }, - { - "start": "16:21.08", - "stop": "16:21.72", - "speaker": "Student", - "dialogue": "Yes, we could." - }, - { - "start": "16:22.00", - "stop": "16:22.16", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:22.64", - "stop": "16:24.08", - "speaker": "Tutor", - "dialogue": "Absolutely all the time." - }, - { - "start": "16:24.16", - "stop": "16:26.68", - "speaker": "Tutor", - "dialogue": "that's what happens when we're learning solving." - }, - { - "start": "16:27.36", - "stop": "16:29.08", - "speaker": "Tutor", - "dialogue": "All right, So you want to change your mind?" - }, - { - "start": "16:29.20", - "stop": "16:30.52", - "speaker": "Tutor", - "dialogue": "Where do you want to put Sa now?" - }, - { - "start": "16:34.20", - "stop": "16:35.96", - "speaker": "Tutor", - "dialogue": "And how come you decided to put sea there?" - }, - { - "start": "16:38.56", - "stop": "16:41.04", - "speaker": "Student", - "dialogue": "Because the car hasn't moved in the half hour." - }, - { - "start": "16:43.20", - "stop": "16:46.20", - "speaker": "Tutor", - "dialogue": "So the distance has stayed the same." - }, - { - "start": "16:47.96", - "stop": "16:48.12", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:48.48", - "stop": "16:51.92", - "speaker": "Tutor", - "dialogue": "Has the time also stayed the same or has it changed?" - }, - { - "start": "16:52.48", - "stop": "16:53.72", - "speaker": "Student", - "dialogue": "It's changed, though in." - }, - { - "start": "16:53.84", - "stop": "16:55.12", - "speaker": "Tutor", - "dialogue": "What way has it changed?" - }, - { - "start": "16:56.32", - "stop": "17:01.00", - "speaker": "Student", - "dialogue": "It changed, the time went up a half thirty minutes." - }, - { - "start": "17:02.04", - "stop": "17:18.56", - "speaker": "Tutor", - "dialogue": "And as we're talking about this situation, there's some words I want you to think about challenging yourself to use, and they are increasing, increasing or staying the same." - }, - { - "start": "17:20.00", - "stop": "17:21.36", - "speaker": "Student", - "dialogue": "Yes, got it okay?" - }, - { - "start": "17:23.44", - "stop": "17:28.16", - "speaker": "Tutor", - "dialogue": "All right, So now we have point B labeled and point C labeled." - }, - { - "start": "17:28.96", - "stop": "17:32.36", - "speaker": "Tutor", - "dialogue": "Where would point D be located on the map?" - }, - { - "start": "17:32.64", - "stop": "17:39.96", - "speaker": "Tutor", - "dialogue": "And you know I'm going to ask you to think about why when you describe it to me." - }, - { - "start": "17:53.92", - "stop": "17:55.52", - "speaker": "Tutor", - "dialogue": "Is that your prediction where your arrow is?" - }, - { - "start": "17:55.64", - "stop": "17:56.52", - "speaker": "Tutor", - "dialogue": "Or are you still thinking?" - }, - { - "start": "17:58.08", - "stop": "17:59.40", - "speaker": "Student", - "dialogue": "Yes, just my prediction." - }, - { - "start": "17:59.76", - "stop": "18:00.80", - "speaker": "Tutor", - "dialogue": "Okay, you can put." - }, - { - "start": "18:01.00", - "stop": "18:01.80", - "speaker": "Tutor", - "dialogue": "Yup, You can label it." - }, - { - "start": "18:01.92", - "stop": "18:09.60", - "speaker": "Tutor", - "dialogue": "You can put the dot there and label D all right now" - }, - { - "start": "18:09.92", - "stop": "18:23.88", - "speaker": "Tutor", - "dialogue": "Whenever you answer this question, challenge yourself to use, increasing, decreasing, staying the same, and words and words like miles and distance and time and hours." - }, - { - "start": "18:26.80", - "stop": "18:26.84", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "18:27.08", - "stop": "18:27.40", - "speaker": "Tutor", - "dialogue": "Go ahead." - }, - { - "start": "18:27.48", - "stop": "18:28.24", - "speaker": "Tutor", - "dialogue": "Why is D there?" - }, - { - "start": "18:29.76", - "stop": "18:32.72", - "speaker": "Student", - "dialogue": "According to the graph from unit C to D." - }, - { - "start": "18:35.24", - "stop": "18:35.28", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "18:35.44", - "stop": "18:36.80", - "speaker": "Student", - "dialogue": "Seen in the graph that?" - }, - { - "start": "18:38.40", - "stop": "18:38.44", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "18:38.60", - "stop": "18:43.04", - "speaker": "Student", - "dialogue": "Miles increases by fifty miles again." - }, - { - "start": "18:45.32", - "stop": "18:45.56", - "speaker": "Tutor", - "dialogue": "While." - }, - { - "start": "18:45.64", - "stop": "18:49.32", - "speaker": "Student", - "dialogue": "The time increases by about an hour." - }, - { - "start": "18:50.76", - "stop": "18:54.48", - "speaker": "Tutor", - "dialogue": "Ah, that was so cool you." - }, - { - "start": "18:55.20", - "stop": "18:58.92", - "speaker": "Tutor", - "dialogue": "You even said Um things like units in there." - }, - { - "start": "18:59.20", - "stop": "19:03.28", - "speaker": "Tutor", - "dialogue": "That's really powerful math language and thinking, you also used words like." - }, - { - "start": "19:03.60", - "stop": "19:05.36", - "speaker": "Tutor", - "dialogue": "About, how come you knew" - }, - { - "start": "19:05.40", - "stop": "19:08.84", - "speaker": "Tutor", - "dialogue": "it was about an hour this time instead of exactly an hour?" - }, - { - "start": "19:10.28", - "stop": "19:22.56", - "speaker": "Student", - "dialogue": "Okay, so when I look at the graph from one and a half, I see the D lands on the exxes of near two and a half." - }, - { - "start": "19:23.72", - "stop": "19:24.08", - "speaker": "Student", - "dialogue": "That's holl." - }, - { - "start": "19:24.12", - "stop": "19:24.64", - "speaker": "Student", - "dialogue": "I could tell." - }, - { - "start": "19:24.96", - "stop": "19:25.16", - "speaker": "Student", - "dialogue": "okay." - }, - { - "start": "19:25.24", - "stop": "19:28.12", - "speaker": "Tutor", - "dialogue": "So that's what let you know that it was an about and not an exact." - }, - { - "start": "19:28.96", - "stop": "19:29.08", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "19:29.48", - "stop": "19:38.40", - "speaker": "Tutor", - "dialogue": "Okay now, segment D to e, something different is happening here." - }, - { - "start": "19:39.68", - "stop": "19:40.32", - "speaker": "Tutor", - "dialogue": "What' going on?" - }, - { - "start": "19:45.56", - "stop": "19:51.12", - "speaker": "Student", - "dialogue": "Okay, so from D to e, the line is so crooked even on the graph." - }, - { - "start": "19:53.32", - "stop": "19:53.56", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "19:55.00", - "stop": "19:55.68", - "speaker": "Student", - "dialogue": "I know, right." - }, - { - "start": "19:58.20", - "stop": "19:59.36", - "speaker": "Tutor", - "dialogue": "What's happening there?" - }, - { - "start": "19:59.48", - "stop": "20:04.44", - "speaker": "Tutor", - "dialogue": "We've seen some straight lines on the graph, Some curby lines on the map." - }, - { - "start": "20:04.60", - "stop": "20:06.60", - "speaker": "Tutor", - "dialogue": "I'm still not entirely sure how come" - }, - { - "start": "20:06.68", - "stop": "20:09.44", - "speaker": "Tutor", - "dialogue": "they can be curvey on the map and straight on the graph." - }, - { - "start": "20:11.44", - "stop": "20:14.20", - "speaker": "Tutor", - "dialogue": "But now we have some curvey lines on the graph too." - }, - { - "start": "20:15.24", - "stop": "20:29.08", - "speaker": "Tutor", - "dialogue": "What do you think is happening from D to E and again, challenge yourself to think about this in terms of distance or miles, time or hours, and increasing, decreasing, or staying the same." - }, - { - "start": "20:34.96", - "stop": "20:46.84", - "speaker": "Student", - "dialogue": "Ok, according to my calculations from units D to E, I see that since the line is crooked, I could tell that this person has made plenty of stops." - }, - { - "start": "20:50.04", - "stop": "20:51.48", - "speaker": "Tutor", - "dialogue": "How'd you know there were stops there?" - }, - { - "start": "20:54.44", - "stop": "21:01.00", - "speaker": "Student", - "dialogue": "Because usually, when you stop, the mileds kind of decrease decrease." - }, - { - "start": "21:02.68", - "stop": "21:07.48", - "speaker": "Tutor", - "dialogue": "When you stop, the miles increase, decrease or stay the same." - }, - { - "start": "21:09.60", - "stop": "21:10.84", - "speaker": "Student", - "dialogue": "When you stop, right, yeah." - }, - { - "start": "21:11.12", - "stop": "21:13.04", - "speaker": "Tutor", - "dialogue": "When you stop, what happens with the miles?" - }, - { - "start": "21:16.84", - "stop": "21:22.60", - "speaker": "Student", - "dialogue": "Okay now, when you stop, Miles, actuly stay the same of what you've done so far." - }, - { - "start": "21:23.16", - "stop": "21:30.56", - "speaker": "Tutor", - "dialogue": "Okay, and when the car stops, the miles stay the same about hours." - }, - { - "start": "21:31.28", - "stop": "21:33.92", - "speaker": "Tutor", - "dialogue": "If the car is stopped, what's happening with the hours?" - }, - { - "start": "21:34.56", - "stop": "21:36.80", - "speaker": "Student", - "dialogue": "The hours and non stop they keep increasing." - }, - { - "start": "21:37.76", - "stop": "21:47.32", - "speaker": "Tutor", - "dialogue": "Ah, so hours continue to increase, and distance sometimes stays the same." - }, - { - "start": "21:48.12", - "stop": "21:48.28", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "21:49.12", - "stop": "21:54.20", - "speaker": "Tutor", - "dialogue": "Is distance staying the same for the entire segment of Dte?" - }, - { - "start": "21:57.12", - "stop": "21:57.24", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "21:58.32", - "stop": "21:59.36", - "speaker": "Tutor", - "dialogue": "So say more about that." - }, - { - "start": "22:00.16", - "stop": "22:01.28", - "speaker": "Tutor", - "dialogue": "Go deeper with distance." - }, - { - "start": "22:01.36", - "stop": "22:02.80", - "speaker": "Tutor", - "dialogue": "What's happening with distance and?" - }, - { - "start": "22:06.92", - "stop": "22:10.88", - "speaker": "Student", - "dialogue": "The distance is increasing even though it's crooked." - }, - { - "start": "22:14.28", - "stop": "22:18.88", - "speaker": "Tutor", - "dialogue": "So is it increasing the whole time at the same rate?" - }, - { - "start": "22:19.80", - "stop": "22:28.64", - "speaker": "Tutor", - "dialogue": "or is it increasing sume, then stopping, increasing sum, then stopping, increasing sum, then stopping?" - }, - { - "start": "22:32.36", - "stop": "22:34.80", - "speaker": "Student", - "dialogue": "Oky, I see how it really works for." - }, - { - "start": "22:35.56", - "stop": "22:45.88", - "speaker": "Student", - "dialogue": "So in D to e, the miles is increasing, but the car stopping increasing the miles is the car stopping." - }, - { - "start": "22:46.32", - "stop": "22:46.48", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "22:47.96", - "stop": "22:48.16", - "speaker": "Tutor", - "dialogue": "That's" - }, - { - "start": "22:48.20", - "stop": "22:48.72", - "speaker": "Student", - "dialogue": "What I think?" - }, - { - "start": "22:49.32", - "stop": "22:53.56", - "speaker": "Tutor", - "dialogue": "As of the car, if we were to pretend to be the car from D to E." - }, - { - "start": "22:55.04", - "stop": "22:55.28", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "22:55.84", - "stop": "22:59.56", - "speaker": "Tutor", - "dialogue": "Would I be driving like with cruise control on and just goo?" - }, - { - "start": "23:01.96", - "stop": "23:07.28", - "speaker": "Tutor", - "dialogue": "or would I be driving Urch, driving arch, driving Arch." - }, - { - "start": "23:09.52", - "stop": "23:11.68", - "speaker": "Tutor", - "dialogue": "What's happening with the car from D to E?" - }, - { - "start": "23:15.76", - "stop": "23:19.44", - "speaker": "Student", - "dialogue": "Okay, I'm've an idea of the car like." - }, - { - "start": "23:21.92", - "stop": "23:21.96", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "23:22.24", - "stop": "23:22.28", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "23:22.32", - "stop": "23:24.52", - "speaker": "Tutor", - "dialogue": "Do tell me about it or show me or both." - }, - { - "start": "23:27.64", - "stop": "23:27.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "23:30.00", - "stop": "23:30.04", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "23:30.12", - "stop": "23:39.24", - "speaker": "Student", - "dialogue": "Could tell that the line is crooked because the car has moved by miles while the hours go up, but stopping every time." - }, - { - "start": "23:43.24", - "stop": "23:50.64", - "speaker": "Tutor", - "dialogue": "So is it moving smooth and constant, or is it moving in a different way?" - }, - { - "start": "23:51.28", - "stop": "23:52.68", - "speaker": "Student", - "dialogue": "It's moving in a different way." - }, - { - "start": "23:53.76", - "stop": "23:55.72", - "speaker": "Tutor", - "dialogue": "What about from C to D?" - }, - { - "start": "23:56.88", - "stop": "23:59.04", - "speaker": "Tutor", - "dialogue": "is the car moving constant?" - }, - { - "start": "24:00.16", - "stop": "24:02.00", - "speaker": "Tutor", - "dialogue": "or is it moving in a different way?" - }, - { - "start": "24:02.60", - "stop": "24:03.84", - "speaker": "Student", - "dialogue": "It's moving constantly." - }, - { - "start": "24:04.76", - "stop": "24:07.32", - "speaker": "Tutor", - "dialogue": "So you talked about constant in the beginning." - }, - { - "start": "24:08.44", - "stop": "24:12.56", - "speaker": "Tutor", - "dialogue": "What does it mean for the car to move constant or constantly?" - }, - { - "start": "24:17.12", - "stop": "24:18.48", - "speaker": "Student", - "dialogue": "I got to find a definition." - }, - { - "start": "24:19.08", - "stop": "24:21.72", - "speaker": "Student", - "dialogue": "Okay, so constant rate is a?" - }, - { - "start": "24:25.44", - "stop": "24:26.64", - "speaker": "Tutor", - "dialogue": "Hang on and stop for a second." - }, - { - "start": "24:26.96", - "stop": "24:34.24", - "speaker": "Tutor", - "dialogue": "Ate when you said Find a definition, Are you thinking in your head to find that definition or are you looking somewhere to find that definition?" - }, - { - "start": "24:34.48", - "stop": "24:35.44", - "speaker": "Student", - "dialogue": "Thinking my head for it." - }, - { - "start": "24:35.84", - "stop": "24:38.40", - "speaker": "Tutor", - "dialogue": "Beautiful, That's all I want to do when we're working together." - }, - { - "start": "24:38.52", - "stop": "24:39.40", - "speaker": "Tutor", - "dialogue": "It's what's in your head." - }, - { - "start": "24:39.56", - "stop": "24:40.64", - "speaker": "Tutor", - "dialogue": "That's it okay." - }, - { - "start": "24:40.96", - "stop": "24:43.04", - "speaker": "Tutor", - "dialogue": "So look for that definition in your head." - }, - { - "start": "24:43.08", - "stop": "24:44.08", - "speaker": "Tutor", - "dialogue": "What is constant rate?" - }, - { - "start": "24:44.64", - "stop": "24:46.40", - "speaker": "Student", - "dialogue": "It's a good slope into graph." - }, - { - "start": "24:47.24", - "stop": "24:48.24", - "speaker": "Tutor", - "dialogue": "It's a good slope." - }, - { - "start": "24:49.08", - "stop": "24:49.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "24:49.96", - "stop": "24:51.52", - "speaker": "Tutor", - "dialogue": "Tell me what you mean by good slope." - }, - { - "start": "24:53.20", - "stop": "25:00.08", - "speaker": "Student", - "dialogue": "It's a. It's a good straight glack graph without any messy lines, messy plots." - }, - { - "start": "25:01.32", - "stop": "25:05.52", - "speaker": "Tutor", - "dialogue": "So it's a straight line and not a kurby line?" - }, - { - "start": "25:05.64", - "stop": "25:06.88", - "speaker": "Tutor", - "dialogue": "Is that what you mean by messy?" - }, - { - "start": "25:07.52", - "stop": "25:07.68", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "25:08.24", - "stop": "25:16.36", - "speaker": "Tutor", - "dialogue": "Ok, so a constant rate on a graph looks like a straight or a smooth line?" - }, - { - "start": "25:17.80", - "stop": "25:17.96", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "25:19.16", - "stop": "25:19.88", - "speaker": "Tutor", - "dialogue": "How do you know that?" - }, - { - "start": "25:22.76", - "stop": "25:24.92", - "speaker": "Tutor", - "dialogue": "what did you pull up in your head to remember that?" - }, - { - "start": "25:26.92", - "stop": "25:33.04", - "speaker": "Student", - "dialogue": "For instance, I used the rifle run method to see if it's costin or not." - }, - { - "start": "25:35.76", - "stop": "25:38.04", - "speaker": "Tutor", - "dialogue": "Ah, and I can see what you're doing with your arrow." - }, - { - "start": "25:38.12", - "stop": "25:48.12", - "speaker": "Tutor", - "dialogue": "There were you counting to see if I move over the same amount in one direction and up the same amount in one direction" - }, - { - "start": "25:48.16", - "stop": "25:49.52", - "speaker": "Tutor", - "dialogue": "And up were you trying to count that?" - }, - { - "start": "25:50.44", - "stop": "25:51.28", - "speaker": "Student", - "dialogue": "Yes, yeah." - }, - { - "start": "25:51.76", - "stop": "25:55.16", - "speaker": "Tutor", - "dialogue": "What did you end up counting with this rise over one method?" - }, - { - "start": "25:55.40", - "stop": "25:58.60", - "speaker": "Tutor", - "dialogue": "And I'm really interested in what this rise over one thing even means." - }, - { - "start": "25:59.20", - "stop": "25:59.80", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "26:02.48", - "stop": "26:02.68", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "26:02.76", - "stop": "26:06.44", - "speaker": "Student", - "dialogue": "So if you go to the Ex axes, it is the run." - }, - { - "start": "26:21.16", - "stop": "26:21.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "26:21.52", - "stop": "26:26.96", - "speaker": "Student", - "dialogue": "So the run is one, You go up three." - }, - { - "start": "26:29.32", - "stop": "26:29.48", - "speaker": "Tutor", - "dialogue": "Run." - }, - { - "start": "26:29.64", - "stop": "26:30.76", - "speaker": "Student", - "dialogue": "One, you go up." - }, - { - "start": "26:55.24", - "stop": "26:55.44", - "speaker": "Tutor", - "dialogue": "That's" - }, - { - "start": "26:55.48", - "stop": "26:58.04", - "speaker": "Student", - "dialogue": "All I have to say about the rise over run method." - }, - { - "start": "26:58.44", - "stop": "27:00.76", - "speaker": "Tutor", - "dialogue": "Okay, so it sounds like in your mind" - }, - { - "start": "27:01.32", - "stop": "27:09.80", - "speaker": "Tutor", - "dialogue": "you know constant rate and rise over run method are somehow related to lines and somehow related to this situation." - }, - { - "start": "27:11.28", - "stop": "27:11.44", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "27:14.88", - "stop": "27:16.72", - "speaker": "Tutor", - "dialogue": "Let's let's dig into that a little bit more." - }, - { - "start": "27:17.88", - "stop": "27:21.04", - "speaker": "Tutor", - "dialogue": "if I were to find the rise." - }, - { - "start": "27:21.48", - "stop": "27:26.76", - "speaker": "Tutor", - "dialogue": "If I were to do the rise over run method for A to B. what would I get?" - }, - { - "start": "27:39.44", - "stop": "27:39.68", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "27:39.76", - "stop": "27:39.80", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "27:40.08", - "stop": "27:41.88", - "speaker": "Student", - "dialogue": "For my run, I get." - }, - { - "start": "27:43.76", - "stop": "27:44.00", - "speaker": "Tutor", - "dialogue": "Zero." - }, - { - "start": "27:44.08", - "stop": "27:47.24", - "speaker": "Student", - "dialogue": "Point five, I go up and I get." - }, - { - "start": "27:50.28", - "stop": "27:50.52", - "speaker": "Tutor", - "dialogue": "Hold." - }, - { - "start": "27:50.64", - "stop": "27:50.68", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "27:54.84", - "stop": "27:55.00", - "speaker": "Tutor", - "dialogue": "Two." - }, - { - "start": "27:55.12", - "stop": "28:04.52", - "speaker": "Student", - "dialogue": "Point five, you, um, right, you run again, Zero point five and you go up two point five." - }, - { - "start": "28:08.84", - "stop": "28:08.88", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "28:08.96", - "stop": "28:10.00", - "speaker": "Student", - "dialogue": "It x to say for that." - }, - { - "start": "28:11.72", - "stop": "28:18.56", - "speaker": "Tutor", - "dialogue": "So you would get some number two point fivewot." - }, - { - "start": "28:19.52", - "stop": "28:20.24", - "speaker": "Student", - "dialogue": "Zero point five." - }, - { - "start": "28:21.60", - "stop": "28:28.48", - "speaker": "Tutor", - "dialogue": "I'm going to write this down two point five over zero point five." - }, - { - "start": "28:29.52", - "stop": "28:29.68", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "28:34.52", - "stop": "28:38.48", - "speaker": "Tutor", - "dialogue": "Two point five what and zero point five whats?" - }, - { - "start": "28:45.00", - "stop": "28:46.92", - "speaker": "Student", - "dialogue": "Ok, zero point five hours." - }, - { - "start": "28:50.40", - "stop": "28:50.44", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "28:50.68", - "stop": "28:51.64", - "speaker": "Student", - "dialogue": "Point five miles." - }, - { - "start": "28:57.16", - "stop": "28:58.04", - "speaker": "Tutor", - "dialogue": "Miles and hours." - }, - { - "start": "28:58.12", - "stop": "28:59.04", - "speaker": "Tutor", - "dialogue": "how did you get those?" - }, - { - "start": "29:01.48", - "stop": "29:07.40", - "speaker": "Student", - "dialogue": "When I used to running Rightll, run method earlier, the X is the hours." - }, - { - "start": "29:09.20", - "stop": "29:09.24", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "29:09.40", - "stop": "29:19.12", - "speaker": "Student", - "dialogue": "Counted zero, and for Theo, point five, I went up in the rice method in the rise." - }, - { - "start": "29:21.08", - "stop": "29:21.44", - "speaker": "Tutor", - "dialogue": "Yp." - }, - { - "start": "29:21.68", - "stop": "29:22.76", - "speaker": "Student", - "dialogue": "Represents the miles." - }, - { - "start": "29:23.16", - "stop": "29:25.56", - "speaker": "Tutor", - "dialogue": "Ok, and you're saying two point five miles?" - }, - { - "start": "29:26.84", - "stop": "29:27.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "29:28.60", - "stop": "29:36.80", - "speaker": "Tutor", - "dialogue": "Earlier, when we were talking, you said thatyo said something about fifty miles and something about one hour." - }, - { - "start": "29:37.56", - "stop": "29:50.32", - "speaker": "Tutor", - "dialogue": "When I asked you to think about Point B. How does that fifty miles and one hour connect to what you wrote up here?" - }, - { - "start": "29:58.08", - "stop": "30:00.08", - "speaker": "Student", - "dialogue": "It's actually twenty point five." - }, - { - "start": "30:00.48", - "stop": "30:01.48", - "speaker": "Student", - "dialogue": "That's my mistake." - }, - { - "start": "30:02.20", - "stop": "30:03.60", - "speaker": "Tutor", - "dialogue": "Do you want to change something again?" - }, - { - "start": "30:04.40", - "stop": "30:06.40", - "speaker": "Student", - "dialogue": "It was just aserre to add up to to two." - }, - { - "start": "30:07.52", - "stop": "30:16.32", - "speaker": "Tutor", - "dialogue": "Ah, so it was two point five if each one of these units was worth one, but each of these units is not worth one." - }, - { - "start": "30:17.28", - "stop": "30:17.92", - "speaker": "Student", - "dialogue": "It's worth ten." - }, - { - "start": "30:18.04", - "stop": "30:18.56", - "speaker": "Student", - "dialogue": "each line." - }, - { - "start": "30:18.76", - "stop": "30:19.96", - "speaker": "Student", - "dialogue": "Actually, it's worth ten." - }, - { - "start": "30:20.36", - "stop": "30:35.80", - "speaker": "Tutor", - "dialogue": "And so it sounds like what you are doing is trying to find the change in the amount of time and the change in the amount of miles that is passed from A to this point." - }, - { - "start": "30:37.88", - "stop": "30:37.92", - "speaker": "Student", - "dialogue": "Es." - }, - { - "start": "30:38.24", - "stop": "30:41.32", - "speaker": "Tutor", - "dialogue": "Yes, Ok, do we have to go to this point?" - }, - { - "start": "30:42.08", - "stop": "30:51.16", - "speaker": "Tutor", - "dialogue": "or can we describe this change in distance and change in hours from point A to point B?" - }, - { - "start": "30:54.04", - "stop": "30:59.04", - "speaker": "Student", - "dialogue": "Um, we could leave that point because it's the mark of the change." - }, - { - "start": "30:59.76", - "stop": "31:01.52", - "speaker": "Student", - "dialogue": "That's how to the rise over run method." - }, - { - "start": "31:03.24", - "stop": "31:03.28", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "31:03.48", - "stop": "31:07.16", - "speaker": "Student", - "dialogue": "Divide the line into a seg two segments, or." - }, - { - "start": "31:09.56", - "stop": "31:13.56", - "speaker": "Tutor", - "dialogue": "Do you and you think you have to divide that line into two segments?" - }, - { - "start": "31:16.08", - "stop": "31:16.24", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "31:17.52", - "stop": "31:22.68", - "speaker": "Tutor", - "dialogue": "O, we could find the Riseover Run method." - }, - { - "start": "31:23.40", - "stop": "31:28.36", - "speaker": "Tutor", - "dialogue": "And when you say this method, do you know that Riseover Run can be described with another word?" - }, - { - "start": "31:30.60", - "stop": "31:30.64", - "speaker": "Tutor", - "dialogue": "Or" - }, - { - "start": "31:30.68", - "stop": "31:33.00", - "speaker": "Tutor", - "dialogue": "do you know another word that's related to Rise and Run?" - }, - { - "start": "31:34.60", - "stop": "31:36.68", - "speaker": "Student", - "dialogue": "I'll have another name for that method." - }, - { - "start": "31:36.96", - "stop": "31:38.32", - "speaker": "Tutor", - "dialogue": "Have you ever heard of slope?" - }, - { - "start": "31:39.52", - "stop": "31:39.68", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "31:40.56", - "stop": "31:41.72", - "speaker": "Tutor", - "dialogue": "What does slope mean?" - }, - { - "start": "31:42.88", - "stop": "31:44.36", - "speaker": "Student", - "dialogue": "Slope is the line of a graph." - }, - { - "start": "31:45.24", - "stop": "31:46.44", - "speaker": "Tutor", - "dialogue": "The line of a graph." - }, - { - "start": "31:47.68", - "stop": "31:47.84", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "31:48.48", - "stop": "31:52.24", - "speaker": "Tutor", - "dialogue": "Oky, the slope is a little bit more than the line of a graph." - }, - { - "start": "31:54.04", - "stop": "32:02.76", - "speaker": "Tutor", - "dialogue": "The slope is connected to what you're talking about here with this rise over one, rise over run." - }, - { - "start": "32:06.68", - "stop": "32:08.12", - "speaker": "Student", - "dialogue": "Why equals M X plus B?" - }, - { - "start": "32:08.80", - "stop": "32:10.44", - "speaker": "Tutor", - "dialogue": "Actuly, Oh, what is Wy?" - }, - { - "start": "32:11.04", - "stop": "32:11.84", - "speaker": "Tutor", - "dialogue": "Wy equals Mx" - }, - { - "start": "32:11.88", - "stop": "32:13.12", - "speaker": "Tutor", - "dialogue": "plus B Is something else" - }, - { - "start": "32:13.20", - "stop": "32:14.08", - "speaker": "Tutor", - "dialogue": "that's related to slope." - }, - { - "start": "32:14.12", - "stop": "32:14.48", - "speaker": "Tutor", - "dialogue": "You're right." - }, - { - "start": "32:14.80", - "stop": "32:17.28", - "speaker": "Tutor", - "dialogue": "It's connected, but we're going to make sense of this." - }, - { - "start": "32:17.68", - "stop": "32:23.56", - "speaker": "Tutor", - "dialogue": "These words that you've used right here, this rise run, slope and constant rate, okay?" - }, - { - "start": "32:24.48", - "stop": "32:24.64", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "32:24.84", - "stop": "32:29.60", - "speaker": "Tutor", - "dialogue": "Then we could build on that to figure out this Y equals M. x, pls, B thing, too, But we're gonna." - }, - { - "start": "32:30.12", - "stop": "32:32.96", - "speaker": "Tutor", - "dialogue": "We're not there yet cool." - }, - { - "start": "32:34.12", - "stop": "32:34.40", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "32:34.68", - "stop": "32:40.60", - "speaker": "Tutor", - "dialogue": "All right, so in this situation I don't see rise or run" - }, - { - "start": "32:40.92", - "stop": "32:44.32", - "speaker": "Tutor", - "dialogue": "on this graph, I see point A and point B." - }, - { - "start": "32:47.68", - "stop": "32:52.00", - "speaker": "Student", - "dialogue": "You're not supposed to see the run rise over run thing ino graph." - }, - { - "start": "32:52.28", - "stop": "32:52.60", - "speaker": "Tutor", - "dialogue": "I'm not." - }, - { - "start": "32:53.44", - "stop": "32:53.72", - "speaker": "Student", - "dialogue": "Nope." - }, - { - "start": "32:54.16", - "stop": "32:56.32", - "speaker": "Tutor", - "dialogue": "Then why do I even need to know Rise and run." - }, - { - "start": "32:57.32", - "stop": "33:02.76", - "speaker": "Student", - "dialogue": "Because it's an important strategy to do when you're looking for a slope." - }, - { - "start": "33:04.72", - "stop": "33:08.44", - "speaker": "Tutor", - "dialogue": "And why would I need to look what is the slope in this situation?" - }, - { - "start": "33:08.64", - "stop": "33:10.88", - "speaker": "Tutor", - "dialogue": "Or why would it matter for me to find the slope?" - }, - { - "start": "33:13.76", - "stop": "33:16.72", - "speaker": "Student", - "dialogue": "Se could find the equation of the graph actually." - }, - { - "start": "33:19.40", - "stop": "33:21.92", - "speaker": "Tutor", - "dialogue": "And what would the equation help me with her?" - }, - { - "start": "33:22.04", - "stop": "33:22.28", - "speaker": "Tutor", - "dialogue": "Tell me." - }, - { - "start": "33:24.96", - "stop": "33:30.88", - "speaker": "Student", - "dialogue": "For instance, on a test to give you a question like solved this, solve the equation of the graph." - }, - { - "start": "33:34.72", - "stop": "33:42.88", - "speaker": "Tutor", - "dialogue": "So it sounds like you've had a lot of practice solving and finding rise and run and slope and equations." - }, - { - "start": "33:44.32", - "stop": "33:44.48", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "33:44.76", - "stop": "33:51.64", - "speaker": "Tutor", - "dialogue": "What I'm going to challenge you to do right now is to make sense of what is the slope in this situation." - }, - { - "start": "33:51.96", - "stop": "33:52.76", - "speaker": "Tutor", - "dialogue": "What does it mean?" - }, - { - "start": "33:54.72", - "stop": "33:54.92", - "speaker": "Tutor", - "dialogue": "Ok?" - }, - { - "start": "33:55.80", - "stop": "33:56.08", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "33:56.28", - "stop": "34:02.84", - "speaker": "Tutor", - "dialogue": "So if I said, what is the slope between point A and point B?" - }, - { - "start": "34:06.72", - "stop": "34:07.00", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "34:07.40", - "stop": "34:08.28", - "speaker": "Tutor", - "dialogue": "What would you tell me?" - }, - { - "start": "34:11.52", - "stop": "34:12.20", - "speaker": "Student", - "dialogue": "Just a second." - }, - { - "start": "34:12.64", - "stop": "34:38.96", - "speaker": "Tutor", - "dialogue": "Sure, are you writing some things down?" - }, - { - "start": "34:40.96", - "stop": "34:43.12", - "speaker": "Student", - "dialogue": "I'm just calculating in my head." - }, - { - "start": "34:43.36", - "stop": "34:46.56", - "speaker": "Tutor", - "dialogue": "Okay, good cause if you need to write anything, write it on here so I can see it." - }, - { - "start": "34:47.24", - "stop": "34:48.24", - "speaker": "Student", - "dialogue": "Okay, got you." - }, - { - "start": "35:27.16", - "stop": "35:27.56", - "speaker": "Tutor", - "dialogue": "Excuse." - }, - { - "start": "35:27.60", - "stop": "35:28.88", - "speaker": "Student", - "dialogue": "Me, this is an emergency." - }, - { - "start": "35:29.08", - "stop": "35:30.84", - "speaker": "Student", - "dialogue": "I need to go to the bathroom really quick." - }, - { - "start": "35:31.16", - "stop": "35:32.32", - "speaker": "Student", - "dialogue": "Sure, thank." - }, - { - "start": "35:32.36", - "stop": "38:32.64", - "speaker": "Tutor", - "dialogue": "You, I just realized I was muted." - }, - { - "start": "38:33.24", - "stop": "38:34.80", - "speaker": "Tutor", - "dialogue": "Okay, I see what you are doing." - }, - { - "start": "38:34.88", - "stop": "38:36.04", - "speaker": "Tutor", - "dialogue": "You're writing some things there." - }, - { - "start": "38:38.04", - "stop": "38:38.08", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "38:38.36", - "stop": "38:41.48", - "speaker": "Tutor", - "dialogue": "I want you to remember these words we were challenging ourselves with." - }, - { - "start": "38:42.40", - "stop": "38:42.52", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "38:42.84", - "stop": "38:53.40", - "speaker": "Tutor", - "dialogue": "Increasing, decreasing or staying the same, I want you to look just at point A to B. So remember that segment that we drew over here in purple." - }, - { - "start": "38:54.48", - "stop": "38:54.60", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "38:56.24", - "stop": "39:06.16", - "speaker": "Tutor", - "dialogue": "How describe to me what's happening with the distance and the time from A to B using these words." - }, - { - "start": "39:08.24", - "stop": "39:16.40", - "speaker": "Student", - "dialogue": "The miles increase increases by fifty, while the hours the hour increases by one." - }, - { - "start": "39:19.12", - "stop": "39:28.08", - "speaker": "Tutor", - "dialogue": "So as the distance increases fifty miles, the hour increases by one hour." - }, - { - "start": "39:29.20", - "stop": "39:35.76", - "speaker": "Tutor", - "dialogue": "so in fifty miles it has taken the car one hour to travel fifty miles." - }, - { - "start": "39:36.72", - "stop": "39:37.60", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "39:38.44", - "stop": "39:38.60", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "39:40.48", - "stop": "39:42.08", - "speaker": "Tutor", - "dialogue": "Do you know what I just wrote here?" - }, - { - "start": "39:47.80", - "stop": "39:52.56", - "speaker": "Student", - "dialogue": "Okay, you're right about the rise of a runting the time." - }, - { - "start": "39:54.12", - "stop": "39:54.16", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "39:54.28", - "stop": "40:00.40", - "speaker": "Student", - "dialogue": "Miles rises by fifty, while the hour runs by one." - }, - { - "start": "40:01.32", - "stop": "40:05.16", - "speaker": "Tutor", - "dialogue": "Ah, you just described what the slope is of that line." - }, - { - "start": "40:06.80", - "stop": "40:15.28", - "speaker": "Tutor", - "dialogue": "The slope describes the relationship between the two variables and how they're changing." - }, - { - "start": "40:17.40", - "stop": "40:26.80", - "speaker": "Tutor", - "dialogue": "So from A to B, that entire section of the journey the car traveled fifty miles in one hour." - }, - { - "start": "40:28.84", - "stop": "40:33.08", - "speaker": "Tutor", - "dialogue": "We could also use that information to describe how fast the car is going." - }, - { - "start": "40:36.40", - "stop": "40:38.88", - "speaker": "Tutor", - "dialogue": "How fast is the car going from A to B?" - }, - { - "start": "40:46.08", - "stop": "40:47.64", - "speaker": "Student", - "dialogue": "Fifty miles per hour, yeah." - }, - { - "start": "40:49.08", - "stop": "41:03.48", - "speaker": "Tutor", - "dialogue": "And fifty miles per hour is the real life situation, and mathematically, we can also describe that as the slope of that segment." - }, - { - "start": "41:06.24", - "stop": "41:06.28", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "41:06.44", - "stop": "41:08.60", - "speaker": "Tutor", - "dialogue": "You've also noticed this line is straight." - }, - { - "start": "41:10.28", - "stop": "41:17.56", - "speaker": "Tutor", - "dialogue": "So is that a constant speed that the car is traveling, or is the car starting and stopping starting and stopping?" - }, - { - "start": "41:18.84", - "stop": "41:21.12", - "speaker": "Student", - "dialogue": "A constant speed that the car travelling." - }, - { - "start": "41:21.60", - "stop": "41:36.00", - "speaker": "Tutor", - "dialogue": "So we could also say this car is travelling at a constant rate, the slope and the constant rate, and the speed." - }, - { - "start": "41:37.72", - "stop": "41:39.16", - "speaker": "Tutor", - "dialogue": "How are all of those related?" - }, - { - "start": "41:44.80", - "stop": "41:46.68", - "speaker": "Student", - "dialogue": "How are lines A and B related?" - }, - { - "start": "41:47.24", - "stop": "41:50.72", - "speaker": "Tutor", - "dialogue": "Right, how is constant rate?" - }, - { - "start": "41:52.28", - "stop": "41:54.32", - "speaker": "Tutor", - "dialogue": "slope and speed?" - }, - { - "start": "41:55.48", - "stop": "41:56.68", - "speaker": "Tutor", - "dialogue": "How are those things related?" - }, - { - "start": "41:56.72", - "stop": "41:58.60", - "speaker": "Tutor", - "dialogue": "I'll write those words down here while you're thinking." - }, - { - "start": "42:00.04", - "stop": "42:03.04", - "speaker": "Student", - "dialogue": "Ok, the reason why they're related is because." - }, - { - "start": "42:05.16", - "stop": "42:05.40", - "speaker": "Tutor", - "dialogue": "Since?" - }, - { - "start": "42:05.56", - "stop": "42:20.72", - "speaker": "Student", - "dialogue": "From zero in the Y axes, fifty miles increases while an hour increases from the exxes, which divides and gets fifty miles per hour." - }, - { - "start": "42:24.72", - "stop": "42:34.56", - "speaker": "Tutor", - "dialogue": "And the words that you've used for all of this constant rate slope speed are those different things, or are they the same thing in this situation?" - }, - { - "start": "42:35.48", - "stop": "42:36.84", - "speaker": "Student", - "dialogue": "They're the same in the situation." - }, - { - "start": "42:37.00", - "stop": "42:37.40", - "speaker": "Student", - "dialogue": "they are the." - }, - { - "start": "42:37.44", - "stop": "42:44.92", - "speaker": "Tutor", - "dialogue": "Same in the situation, Ok, so let's describe B to C using these words." - }, - { - "start": "42:45.04", - "stop": "42:47.88", - "speaker": "Tutor", - "dialogue": "Now, is it a constant rate from B to C?" - }, - { - "start": "42:49.92", - "stop": "42:50.08", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "42:51.32", - "stop": "42:51.64", - "speaker": "Tutor", - "dialogue": "Why not?" - }, - { - "start": "42:53.84", - "stop": "42:55.32", - "speaker": "Student", - "dialogue": "There is whit's not because." - }, - { - "start": "42:57.96", - "stop": "42:58.00", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "42:58.12", - "stop": "42:59.44", - "speaker": "Student", - "dialogue": "Mild stays the same." - }, - { - "start": "42:59.76", - "stop": "43:04.60", - "speaker": "Student", - "dialogue": "The car hasn't moved for a half an hour now from one hour." - }, - { - "start": "43:05.80", - "stop": "43:16.00", - "speaker": "Tutor", - "dialogue": "Ok, so we would say the car traveled zero miles in a half an hour." - }, - { - "start": "43:18.60", - "stop": "43:18.76", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "43:19.64", - "stop": "43:30.08", - "speaker": "Tutor", - "dialogue": "So the slope of this line would be zero, True." - }, - { - "start": "43:30.52", - "stop": "43:34.80", - "speaker": "Tutor", - "dialogue": "And is that line increasing, decreasing, or staying the same?" - }, - { - "start": "43:35.92", - "stop": "43:36.64", - "speaker": "Student", - "dialogue": "Staying the same." - }, - { - "start": "43:37.16", - "stop": "43:44.36", - "speaker": "Tutor", - "dialogue": "So when the slope is zero, we would say that the distance is staying the same." - }, - { - "start": "43:45.24", - "stop": "43:49.48", - "speaker": "Tutor", - "dialogue": "Yep, it's staying the same at a constant rate." - }, - { - "start": "43:49.64", - "stop": "43:54.48", - "speaker": "Tutor", - "dialogue": "Still, it's not changing or it's not going up and down up and down, right?" - }, - { - "start": "43:55.48", - "stop": "43:55.64", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "43:55.72", - "stop": "43:56.48", - "speaker": "Tutor", - "dialogue": "Cind that slope." - }, - { - "start": "43:56.52", - "stop": "43:56.80", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "43:57.32", - "stop": "44:04.12", - "speaker": "Tutor", - "dialogue": "If we looked at the slope from C to D, do you predict it as a constant rate or not constant?" - }, - { - "start": "44:04.96", - "stop": "44:06.72", - "speaker": "Student", - "dialogue": "I predict that it's a constant rate." - }, - { - "start": "44:06.92", - "stop": "44:07.40", - "speaker": "Tutor", - "dialogue": "How come?" - }, - { - "start": "44:08.88", - "stop": "44:11.40", - "speaker": "Student", - "dialogue": "Because the line has Um." - }, - { - "start": "44:13.12", - "stop": "44:13.16", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "44:13.24", - "stop": "44:17.48", - "speaker": "Student", - "dialogue": "Could tell that the line has a constant rate because it's going increasing." - }, - { - "start": "44:17.76", - "stop": "44:20.00", - "speaker": "Student", - "dialogue": "It's going up straight, the miles." - }, - { - "start": "44:20.56", - "stop": "44:23.40", - "speaker": "Tutor", - "dialogue": "Right, so we would be able to find the slope of that line." - }, - { - "start": "44:24.60", - "stop": "44:24.76", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "44:25.12", - "stop": "44:44.44", - "speaker": "Tutor", - "dialogue": "Because it's a constant rate, and the slope would describe the speed of the car in this situation, Because it's the relationship of distance to time, or it's the relationship of miles to hours, which is exactly how we measure speed." - }, - { - "start": "44:46.68", - "stop": "44:48.00", - "speaker": "Tutor", - "dialogue": "What about from D to E?" - }, - { - "start": "44:48.84", - "stop": "44:50.16", - "speaker": "Tutor", - "dialogue": "Is that a constant rate?" - }, - { - "start": "44:51.08", - "stop": "44:51.40", - "speaker": "Student", - "dialogue": "Noe." - }, - { - "start": "44:51.76", - "stop": "45:00.96", - "speaker": "Tutor", - "dialogue": "It is not so we, with what we know about this riseover run method, we couldn't find the slope of this line." - }, - { - "start": "45:02.80", - "stop": "45:11.60", - "speaker": "Tutor", - "dialogue": "We can later on in math with some other tools, but not right now with just rise and run, because it is not a constant rate." - }, - { - "start": "45:14.12", - "stop": "45:15.32", - "speaker": "Tutor", - "dialogue": "What about E to F?" - }, - { - "start": "45:17.80", - "stop": "45:18.44", - "speaker": "Student", - "dialogue": "Is a constant?" - }, - { - "start": "45:19.12", - "stop": "45:19.96", - "speaker": "Tutor", - "dialogue": "It's a constant." - }, - { - "start": "45:20.04", - "stop": "45:20.08", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "45:21.12", - "stop": "45:26.20", - "speaker": "Student", - "dialogue": "It's a constant rate because it's going up without any adjustments that." - }, - { - "start": "45:26.44", - "stop": "45:31.72", - "speaker": "Tutor", - "dialogue": "The line so visually it's a constant rate because it's that smooth line." - }, - { - "start": "45:33.48", - "stop": "45:37.92", - "speaker": "Tutor", - "dialogue": "Yes, and we could also find the slope of it and the slope would describe the speed." - }, - { - "start": "45:43.00", - "stop": "45:43.28", - "speaker": "Student", - "dialogue": "Your." - }, - { - "start": "45:43.68", - "stop": "45:45.56", - "speaker": "Tutor", - "dialogue": "Oh, I wish we had all day." - }, - { - "start": "45:45.92", - "stop": "45:47.80", - "speaker": "Tutor", - "dialogue": "I love learning about math with you." - }, - { - "start": "45:49.16", - "stop": "45:52.68", - "speaker": "Tutor", - "dialogue": "I'm going to ask one more question." - }, - { - "start": "45:53.28", - "stop": "45:57.28", - "speaker": "Tutor", - "dialogue": "Sure if we go back to using our arrows here" - }, - { - "start": "45:58.84", - "stop": "46:03.28", - "speaker": "Tutor", - "dialogue": "and I put my arrow on the map, and you put your arrow on the graph." - }, - { - "start": "46:04.48", - "stop": "46:07.80", - "speaker": "Tutor", - "dialogue": "Let's do em together and use our words to describe what's happening." - }, - { - "start": "46:07.84", - "stop": "46:08.08", - "speaker": "Tutor", - "dialogue": "Be caause." - }, - { - "start": "46:08.16", - "stop": "46:12.84", - "speaker": "Tutor", - "dialogue": "The map and the graph are representing the same situation in two different ways." - }, - { - "start": "46:12.88", - "stop": "46:13.28", - "speaker": "Tutor", - "dialogue": "Aren't they?" - }, - { - "start": "46:13.84", - "stop": "46:14.08", - "speaker": "Tutor", - "dialogue": "Yup?" - }, - { - "start": "46:14.32", - "stop": "46:27.92", - "speaker": "Tutor", - "dialogue": "all right, So let's go from A to B and from A to B. distance is increasing and time is increasing, and we're traveling at a constant rate." - }, - { - "start": "46:29.24", - "stop": "46:37.40", - "speaker": "Tutor", - "dialogue": "The speed is fifty miles per hour from B to C. What could you say about B to C?" - }, - { - "start": "46:38.64", - "stop": "46:40.04", - "speaker": "Student", - "dialogue": "It's a non constant rate." - }, - { - "start": "46:41.72", - "stop": "46:43.44", - "speaker": "Tutor", - "dialogue": "What is the slope of B?" - }, - { - "start": "46:46.16", - "stop": "46:46.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "46:46.32", - "stop": "46:47.20", - "speaker": "Tutor", - "dialogue": "It's kind of interesting." - }, - { - "start": "46:47.88", - "stop": "46:48.92", - "speaker": "Tutor", - "dialogue": "Is it a constant rate?" - }, - { - "start": "46:49.04", - "stop": "46:49.24", - "speaker": "Tutor", - "dialogue": "Is it?" - }, - { - "start": "46:49.96", - "stop": "46:50.12", - "speaker": "Tutor", - "dialogue": "does" - }, - { - "start": "46:50.20", - "stop": "46:51.48", - "speaker": "Tutor", - "dialogue": "it still have that smooth line" - }, - { - "start": "46:51.68", - "stop": "46:52.88", - "speaker": "Tutor", - "dialogue": "And can we find the slope?" - }, - { - "start": "46:54.12", - "stop": "46:55.68", - "speaker": "Tutor", - "dialogue": "It's a special slope, isn't it?" - }, - { - "start": "46:55.76", - "stop": "46:57.00", - "speaker": "Tutor", - "dialogue": "Because it's a slope of zero?" - }, - { - "start": "46:59.36", - "stop": "47:00.60", - "speaker": "Tutor", - "dialogue": "What about C to D?" - }, - { - "start": "47:03.52", - "stop": "47:08.28", - "speaker": "Tutor", - "dialogue": "I'm going to drive on the road and it's a curvey line, but on the map it's a straight line." - }, - { - "start": "47:09.20", - "stop": "47:09.64", - "speaker": "Tutor", - "dialogue": "I'm sorry" - }, - { - "start": "47:09.76", - "stop": "47:10.84", - "speaker": "Tutor", - "dialogue": "I'd said that backwards." - }, - { - "start": "47:11.28", - "stop": "47:17.96", - "speaker": "Tutor", - "dialogue": "I'm going to drive on the map and it's a curvey line, but that same segment on the graph is a straight line." - }, - { - "start": "47:18.40", - "stop": "47:18.88", - "speaker": "Tutor", - "dialogue": "How come?" - }, - { - "start": "47:21.28", - "stop": "47:22.64", - "speaker": "Student", - "dialogue": "It's a straight line because." - }, - { - "start": "47:25.84", - "stop": "47:25.88", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "47:26.00", - "stop": "47:27.88", - "speaker": "Student", - "dialogue": "Car moves without any adjustments." - }, - { - "start": "47:29.28", - "stop": "47:32.16", - "speaker": "Tutor", - "dialogue": "I'm going to challenge you to use some of these words that we've typed up there." - }, - { - "start": "47:32.64", - "stop": "47:40.68", - "speaker": "Tutor", - "dialogue": "Say more about how the car moves, and why is the line this straight line on the graph?" - }, - { - "start": "47:43.00", - "stop": "47:48.20", - "speaker": "Student", - "dialogue": "In the graph, from segment C to D, the miles increase fifty." - }, - { - "start": "47:49.40", - "stop": "47:55.92", - "speaker": "Student", - "dialogue": "While the hours are one point five to two point five, which is an hour." - }, - { - "start": "47:56.80", - "stop": "47:58.08", - "speaker": "Student", - "dialogue": "It's the same constant rate." - }, - { - "start": "47:58.44", - "stop": "48:00.44", - "speaker": "Tutor", - "dialogue": "It's travelling at a constant rate, isn't it?" - }, - { - "start": "48:00.52", - "stop": "48:02.28", - "speaker": "Tutor", - "dialogue": "So that does that mean we could find the slope?" - }, - { - "start": "48:03.40", - "stop": "48:03.64", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "48:04.08", - "stop": "48:05.92", - "speaker": "Tutor", - "dialogue": "And the slope would describe the." - }, - { - "start": "48:07.52", - "stop": "48:11.32", - "speaker": "Student", - "dialogue": "The slope would describe the speed, the speed." - }, - { - "start": "48:11.48", - "stop": "48:13.76", - "speaker": "Tutor", - "dialogue": "And how fast it's going beautiful?" - }, - { - "start": "48:15.04", - "stop": "48:15.92", - "speaker": "Tutor", - "dialogue": "What about D to E?" - }, - { - "start": "48:19.04", - "stop": "48:23.04", - "speaker": "Student", - "dialogue": "Segment D to E is definitely not a constant." - }, - { - "start": "48:23.84", - "stop": "48:36.48", - "speaker": "Tutor", - "dialogue": "Not a constant rate, because distance increases and then it stops and then it's not increasing at the same rate the entire section of that trip." - }, - { - "start": "48:37.92", - "stop": "48:37.96", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "48:38.08", - "stop": "48:43.76", - "speaker": "Tutor", - "dialogue": "Means the car is starting stopping, So that also means what's happening with our speed from D to E?" - }, - { - "start": "48:45.64", - "stop": "48:47.84", - "speaker": "Student", - "dialogue": "Our speed decreases." - }, - { - "start": "48:49.00", - "stop": "48:51.76", - "speaker": "Tutor", - "dialogue": "That speed is not staying the same the whole time." - }, - { - "start": "48:52.28", - "stop": "48:57.92", - "speaker": "Tutor", - "dialogue": "Nope, it speeds up and then it stops its yup, stops, Yup, and then the final one Eda F." - }, - { - "start": "49:01.28", - "stop": "49:02.32", - "speaker": "Student", - "dialogue": "T, F is constant." - }, - { - "start": "49:02.92", - "stop": "49:04.32", - "speaker": "Student", - "dialogue": "We could find them the rate." - }, - { - "start": "49:05.44", - "stop": "49:09.12", - "speaker": "Tutor", - "dialogue": "And if we could find the constant rate, we would also know the." - }, - { - "start": "49:10.52", - "stop": "49:10.84", - "speaker": "Student", - "dialogue": "Speed." - }, - { - "start": "49:11.12", - "stop": "49:21.48", - "speaker": "Tutor", - "dialogue": "And we would also know the speed because these are all the describing the same thing in the situation with different words." - }, - { - "start": "49:22.80", - "stop": "49:24.16", - "speaker": "Tutor", - "dialogue": "Col, cool." - }, - { - "start": "49:24.68", - "stop": "49:27.20", - "speaker": "Tutor", - "dialogue": "What was this experience like for you to day?" - }, - { - "start": "49:29.76", - "stop": "49:31.88", - "speaker": "Student", - "dialogue": "Pretty much my background knowledge." - }, - { - "start": "49:34.08", - "stop": "49:39.76", - "speaker": "Tutor", - "dialogue": "What do you feel like you learned or you thought about to-day in a different way?" - }, - { - "start": "49:42.80", - "stop": "49:43.48", - "speaker": "Student", - "dialogue": "I've learned that." - }, - { - "start": "49:47.32", - "stop": "49:47.60", - "speaker": "Tutor", - "dialogue": "Here's." - }, - { - "start": "49:47.68", - "stop": "49:52.28", - "speaker": "Student", - "dialogue": "One thing I learned that the constant rate defines speed." - }, - { - "start": "49:53.76", - "stop": "50:01.12", - "speaker": "Tutor", - "dialogue": "A speed Y can be describing a constant rate, and they're also connected to slope somehow." - }, - { - "start": "50:04.32", - "stop": "50:04.64", - "speaker": "Student", - "dialogue": "Slope." - }, - { - "start": "50:04.72", - "stop": "50:06.68", - "speaker": "Tutor", - "dialogue": "Is more than just finding rise or run?" - }, - { - "start": "50:07.32", - "stop": "50:16.00", - "speaker": "Tutor", - "dialogue": "It can describe what's happening in a situation, or it can describe the relationship between two other things that are changing." - }, - { - "start": "50:20.24", - "stop": "50:24.04", - "speaker": "Tutor", - "dialogue": "All right, Thank you so much for joining to-day and for helping us learn." - }, - { - "start": "50:24.36", - "stop": "50:27.16", - "speaker": "Tutor", - "dialogue": "I've really enjoyed getting to know how you think about things." - }, - { - "start": "50:29.48", - "stop": "50:30.48", - "speaker": "Tutor", - "dialogue": "You have a good day." - }, - { - "start": "50:31.16", - "stop": "50:31.52", - "speaker": "Student", - "dialogue": "You, too." - } -] \ No newline at end of file diff --git a/data/amber/6222022IT.json b/data/amber/6222022IT.json deleted file mode 100644 index e5f6454..0000000 --- a/data/amber/6222022IT.json +++ /dev/null @@ -1,4148 +0,0 @@ -[ - { - "start": "00:02.96", - "stop": "00:04.52", - "speaker": "Tutor", - "dialogue": "Okay, you ready?" - }, - { - "start": "00:05.52", - "stop": "00:05.76", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "00:05.92", - "stop": "00:10.60", - "speaker": "Tutor", - "dialogue": "Cool, so explain to me what you see on your screen now." - }, - { - "start": "00:11.32", - "stop": "00:19.36", - "speaker": "Student", - "dialogue": "Well, I see a map and it says it's a a map of a car journey from Providence, R. I to New York, New Jersey through New York City." - }, - { - "start": "00:20.00", - "stop": "00:24.12", - "speaker": "Tutor", - "dialogue": "Okay, So what explain what you think's happening in this situation?" - }, - { - "start": "00:24.88", - "stop": "00:24.92", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "00:25.08", - "stop": "00:27.52", - "speaker": "Student", - "dialogue": "Think it's like showing almost like directions." - }, - { - "start": "00:28.76", - "stop": "00:30.08", - "speaker": "Tutor", - "dialogue": "What do you mean by that like?" - }, - { - "start": "00:30.32", - "stop": "00:32.92", - "speaker": "Student", - "dialogue": "They're showing specifically the highway, I ninety five." - }, - { - "start": "00:33.68", - "stop": "00:37.52", - "speaker": "Tutor", - "dialogue": "Okay, and highway I, Ninety five connects." - }, - { - "start": "00:37.56", - "stop": "00:37.60", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "00:39.00", - "stop": "00:41.16", - "speaker": "Student", - "dialogue": "It connects like New York City to New Jersey." - }, - { - "start": "00:42.12", - "stop": "00:44.04", - "speaker": "Tutor", - "dialogue": "So there's going to be a journey of a car." - }, - { - "start": "00:44.76", - "stop": "00:48.68", - "speaker": "Tutor", - "dialogue": "it's going to be driving, and it's going to take a trip along this map." - }, - { - "start": "00:49.56", - "stop": "00:49.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "00:50.80", - "stop": "00:53.40", - "speaker": "Tutor", - "dialogue": "All right now if I remove this." - }, - { - "start": "00:57.44", - "stop": "00:57.68", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "00:58.84", - "stop": "01:00.04", - "speaker": "Tutor", - "dialogue": "Did you see what I removed?" - }, - { - "start": "01:00.92", - "stop": "01:01.48", - "speaker": "Student", - "dialogue": "Yeah, I did." - }, - { - "start": "01:03.64", - "stop": "01:06.56", - "speaker": "Tutor", - "dialogue": "Because I wanted to ask you one more question first, so we'll try it." - }, - { - "start": "01:06.64", - "stop": "01:12.24", - "speaker": "Tutor", - "dialogue": "Okay, Yeah, um, and I'm just modeling for you making mistakes, because that's part of the learning process of." - }, - { - "start": "01:12.32", - "stop": "01:12.72", - "speaker": "Student", - "dialogue": "Course, yeah." - }, - { - "start": "01:14.44", - "stop": "01:19.32", - "speaker": "Tutor", - "dialogue": "Um, all right, So what are some things that you think we might be able to measure in this journey?" - }, - { - "start": "01:20.12", - "stop": "01:23.92", - "speaker": "Student", - "dialogue": "I think we'd be able to measure like the miles and like stuff like that." - }, - { - "start": "01:26.16", - "stop": "01:32.52", - "speaker": "Tutor", - "dialogue": "And if we're measuring miles, talk to me more about miles of what within this situation." - }, - { - "start": "01:33.52", - "stop": "01:35.40", - "speaker": "Student", - "dialogue": "Miles of like, uh, the journey." - }, - { - "start": "01:37.68", - "stop": "01:39.76", - "speaker": "Tutor", - "dialogue": "So would you measure miles the entire way?" - }, - { - "start": "01:40.40", - "stop": "01:41.52", - "speaker": "Student", - "dialogue": "Yeah, like mile." - }, - { - "start": "01:41.64", - "stop": "01:44.16", - "speaker": "Student", - "dialogue": "Yeah, cause it's like it seems to be following one path." - }, - { - "start": "01:45.16", - "stop": "01:47.28", - "speaker": "Tutor", - "dialogue": "Okay, is there any?" - }, - { - "start": "01:47.40", - "stop": "01:53.52", - "speaker": "Tutor", - "dialogue": "and if we're measuring miles, do you know what thing we would be keeping track of with units of a mile?" - }, - { - "start": "01:54.72", - "stop": "01:56.36", - "speaker": "Student", - "dialogue": "Um, like hours." - }, - { - "start": "01:57.80", - "stop": "01:58.64", - "speaker": "Tutor", - "dialogue": "Say more about hours." - }, - { - "start": "01:58.68", - "stop": "01:59.64", - "speaker": "Tutor", - "dialogue": "What does that keep track?" - }, - { - "start": "01:59.72", - "stop": "02:00.72", - "speaker": "Student", - "dialogue": "Of time." - }, - { - "start": "02:01.36", - "stop": "02:04.04", - "speaker": "Tutor", - "dialogue": "Okay, so we could use hours to keep track of time." - }, - { - "start": "02:04.72", - "stop": "02:07.48", - "speaker": "Student", - "dialogue": "Uhhuh, Um, maybe like even minutes." - }, - { - "start": "02:08.96", - "stop": "02:12.92", - "speaker": "Tutor", - "dialogue": "Yeah, and if we're measuring in miles or minutes, what do you mean about time?" - }, - { - "start": "02:13.08", - "stop": "02:15.04", - "speaker": "Tutor", - "dialogue": "what would we be thinking about in this situation?" - }, - { - "start": "02:16.24", - "stop": "02:20.64", - "speaker": "Student", - "dialogue": "Um, like how long it would take to get from one destination to another, Okay?" - }, - { - "start": "02:20.72", - "stop": "02:21.88", - "speaker": "Tutor", - "dialogue": "So how much time it would take?" - }, - { - "start": "02:22.48", - "stop": "02:27.24", - "speaker": "Tutor", - "dialogue": "Mhm, So we could use minuture hours to keep track of time." - }, - { - "start": "02:27.88", - "stop": "02:30.24", - "speaker": "Tutor", - "dialogue": "If we use miles, what are we keeping track of?" - }, - { - "start": "02:31.96", - "stop": "02:32.92", - "speaker": "Student", - "dialogue": "Like the distance?" - }, - { - "start": "02:35.40", - "stop": "02:41.28", - "speaker": "Tutor", - "dialogue": "So we might be thinking about some things along distance miles, time and hours cut." - }, - { - "start": "02:42.32", - "stop": "02:44.48", - "speaker": "Tutor", - "dialogue": "Now is when I really wanted to uncover this." - }, - { - "start": "02:47.20", - "stop": "02:47.28", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "02:47.36", - "stop": "02:58.40", - "speaker": "Tutor", - "dialogue": "Right, so if you look at the map and the graph, describe and explain what is happening during each stage of his journey, making sense of both the graph and the map." - }, - { - "start": "02:59.72", - "stop": "03:00.32", - "speaker": "Student", - "dialogue": "Oky, so like?" - }, - { - "start": "03:00.72", - "stop": "03:07.24", - "speaker": "Student", - "dialogue": "Um, I'm going to say that like so, the farther the distance, the longer and hours it would take to get there." - }, - { - "start": "03:09.04", - "stop": "03:12.20", - "speaker": "Tutor", - "dialogue": "So there's a relationship between distance and hours?" - }, - { - "start": "03:12.88", - "stop": "03:12.92", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "03:14.48", - "stop": "03:14.80", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "03:18.40", - "stop": "03:18.44", - "speaker": "Tutor", - "dialogue": "Do?" - }, - { - "start": "03:18.56", - "stop": "03:18.60", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "03:18.68", - "stop": "03:20.36", - "speaker": "Tutor", - "dialogue": "See that there's some letters on the graph." - }, - { - "start": "03:21.08", - "stop": "03:21.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:21.32", - "stop": "03:23.16", - "speaker": "Tutor", - "dialogue": "I do. What do you think those things mean?" - }, - { - "start": "03:23.76", - "stop": "03:28.16", - "speaker": "Student", - "dialogue": "Maybe like, um, like, Um, almost like, Um, like, Um." - }, - { - "start": "03:28.44", - "stop": "03:29.32", - "speaker": "Student", - "dialogue": "How do I explain this?" - }, - { - "start": "03:29.60", - "stop": "03:33.32", - "speaker": "Student", - "dialogue": "Like points in the miles, Like Um, What's the word?" - }, - { - "start": "03:35.32", - "stop": "03:35.48", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "03:37.56", - "stop": "03:39.40", - "speaker": "Student", - "dialogue": "Like, um, almost like landmarks like." - }, - { - "start": "03:40.64", - "stop": "03:45.00", - "speaker": "Tutor", - "dialogue": "Mm, So different, Um spots of the journey?" - }, - { - "start": "03:45.16", - "stop": "03:45.20", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "03:45.80", - "stop": "03:46.36", - "speaker": "Student", - "dialogue": "Something like that?" - }, - { - "start": "03:46.56", - "stop": "03:46.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:47.12", - "stop": "03:58.12", - "speaker": "Tutor", - "dialogue": "Okay, so if we looked at A to B, for example on the graph, what would be happening on the map during that time?" - }, - { - "start": "04:00.40", - "stop": "04:02.76", - "speaker": "Student", - "dialogue": "Um, you like?" - }, - { - "start": "04:03.12", - "stop": "04:06.80", - "speaker": "Student", - "dialogue": "Um, If you travel like fifty miles, it has taken an hour." - }, - { - "start": "04:07.60", - "stop": "04:09.48", - "speaker": "Tutor", - "dialogue": "Okay, so keep with that thinking." - }, - { - "start": "04:10.08", - "stop": "04:16.44", - "speaker": "Tutor", - "dialogue": "If you have, if you look at the graph, it's keeping track of some things in this journey." - }, - { - "start": "04:17.04", - "stop": "04:20.04", - "speaker": "Tutor", - "dialogue": "And then there's a picture of the journey with the map." - }, - { - "start": "04:20.92", - "stop": "04:28.08", - "speaker": "Tutor", - "dialogue": "What's happening during each section of the journey from A to b, b to C, C to D all about?" - }, - { - "start": "04:28.88", - "stop": "04:30.32", - "speaker": "Student", - "dialogue": "Um, the time increases like." - }, - { - "start": "04:31.40", - "stop": "04:31.72", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:33.64", - "stop": "04:33.96", - "speaker": "Student", - "dialogue": "Anything?" - }, - { - "start": "04:34.00", - "stop": "04:35.20", - "speaker": "Tutor", - "dialogue": "Else that you notice is going on." - }, - { - "start": "04:36.52", - "stop": "04:38.32", - "speaker": "Student", - "dialogue": "Um, not really." - }, - { - "start": "04:39.12", - "stop": "04:43.68", - "speaker": "Student", - "dialogue": "I only see like the time is just increasing with how how much the miles increase?" - }, - { - "start": "04:45.32", - "stop": "04:47.96", - "speaker": "Tutor", - "dialogue": "Okay, so time and miles are increasing?" - }, - { - "start": "04:48.60", - "stop": "04:48.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "04:52.00", - "stop": "04:55.96", - "speaker": "Tutor", - "dialogue": "Where if we look at the words of this problem?" - }, - { - "start": "04:59.32", - "stop": "04:59.52", - "speaker": "Student", - "dialogue": "Read." - }, - { - "start": "04:59.60", - "stop": "05:00.56", - "speaker": "Tutor", - "dialogue": "Those words again for me." - }, - { - "start": "05:02.16", - "stop": "05:08.80", - "speaker": "Student", - "dialogue": "Do you mean like the map shows a car journey from Providence, Rr, Yeah, to Newark, New Jersey, through New York City." - }, - { - "start": "05:09.52", - "stop": "05:14.96", - "speaker": "Tutor", - "dialogue": "So on the map, use your cursor to show how the car travels." - }, - { - "start": "05:16.08", - "stop": "05:20.76", - "speaker": "Student", - "dialogue": "Okay, so it'd be like like?" - }, - { - "start": "05:24.64", - "stop": "05:27.76", - "speaker": "Tutor", - "dialogue": "And the graph is also representing the journey." - }, - { - "start": "05:28.20", - "stop": "05:30.64", - "speaker": "Tutor", - "dialogue": "Show how show how the car travels there." - }, - { - "start": "05:31.88", - "stop": "05:34.92", - "speaker": "Student", - "dialogue": "Oh yeah, I, still, it would start from the top, wouldn't it?" - }, - { - "start": "05:35.80", - "stop": "05:36.20", - "speaker": "Tutor", - "dialogue": "I don't know." - }, - { - "start": "05:36.64", - "stop": "05:38.76", - "speaker": "Tutor", - "dialogue": "how can you tell if it starts from the top fro the bottom." - }, - { - "start": "05:40.32", - "stop": "05:48.44", - "speaker": "Student", - "dialogue": "Because like, since the map is starting from the top, unless we're starting from, Like actually from here, Because zero's like the beginning." - }, - { - "start": "05:50.60", - "stop": "05:52.88", - "speaker": "Tutor", - "dialogue": "Zero's the beginning of what in the situation?" - }, - { - "start": "05:53.56", - "stop": "05:54.88", - "speaker": "Student", - "dialogue": "Of the entire journey." - }, - { - "start": "05:56.12", - "stop": "05:56.52", - "speaker": "Tutor", - "dialogue": "Sore." - }, - { - "start": "05:56.64", - "stop": "05:57.80", - "speaker": "Student", - "dialogue": "Starting from Providence." - }, - { - "start": "05:59.16", - "stop": "06:04.60", - "speaker": "Tutor", - "dialogue": "So the map shows the starting here or here?" - }, - { - "start": "06:05.88", - "stop": "06:06.80", - "speaker": "Student", - "dialogue": "I think right here." - }, - { - "start": "06:08.28", - "stop": "06:12.28", - "speaker": "Tutor", - "dialogue": "Okay, and where does the graft St. show the journey starting?" - }, - { - "start": "06:13.56", - "stop": "06:14.56", - "speaker": "Student", - "dialogue": "Um, right here." - }, - { - "start": "06:16.08", - "stop": "06:16.40", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "06:17.36", - "stop": "06:27.20", - "speaker": "Tutor", - "dialogue": "so now I am going to move my cursor on the map, and you move your cursor to where that is on the graph." - }, - { - "start": "06:28.56", - "stop": "06:33.20", - "speaker": "Tutor", - "dialogue": "Okay, Okay, so if I am here, where would your cursor be?" - }, - { - "start": "06:34.00", - "stop": "06:34.16", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "06:34.24", - "stop": "06:35.16", - "speaker": "Tutor", - "dialogue": "Here, okay?" - }, - { - "start": "06:37.20", - "stop": "06:37.44", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "06:37.56", - "stop": "06:39.88", - "speaker": "Tutor", - "dialogue": "Do you think this would be?" - }, - { - "start": "06:41.08", - "stop": "06:43.84", - "speaker": "Student", - "dialogue": "I think it would be like about right here." - }, - { - "start": "06:45.08", - "stop": "06:45.56", - "speaker": "Tutor", - "dialogue": "How come?" - }, - { - "start": "06:46.68", - "stop": "06:51.12", - "speaker": "Student", - "dialogue": "Because like, we moved like a certain distance and seems to like add up." - }, - { - "start": "06:52.96", - "stop": "06:57.36", - "speaker": "Tutor", - "dialogue": "Okay, so are you looking at the distance from the end of the journey to there?" - }, - { - "start": "06:59.04", - "stop": "07:00.08", - "speaker": "Student", - "dialogue": "Yeah, something like that." - }, - { - "start": "07:00.72", - "stop": "07:06.84", - "speaker": "Tutor", - "dialogue": "Okay if I start driving up here, where would your cursor be?" - }, - { - "start": "07:07.72", - "stop": "07:07.84", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "07:07.92", - "stop": "07:10.48", - "speaker": "Tutor", - "dialogue": "Here, okay, so now we're going to trace the path of the car." - }, - { - "start": "07:10.64", - "stop": "07:11.64", - "speaker": "Tutor", - "dialogue": "I'm going to do it on the map." - }, - { - "start": "07:12.32", - "stop": "07:18.08", - "speaker": "Tutor", - "dialogue": "You move it on the grafh as I do it, and wherever you think it needs to be read again." - }, - { - "start": "07:19.56", - "stop": "07:19.72", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "07:19.88", - "stop": "07:22.32", - "speaker": "Tutor", - "dialogue": "Driving, have you started driving yet?" - }, - { - "start": "07:25.24", - "stop": "07:25.28", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "07:25.44", - "stop": "07:26.20", - "speaker": "Tutor", - "dialogue": "Happens right there." - }, - { - "start": "07:27.60", - "stop": "07:34.12", - "speaker": "Student", - "dialogue": "There's like the letter C, so I think it's like the thing that we mentioned earlier where it's like a stop or something." - }, - { - "start": "07:35.08", - "stop": "07:36.28", - "speaker": "Tutor", - "dialogue": "Why do you think it's a stop?" - }, - { - "start": "07:37.12", - "stop": "07:37.88", - "speaker": "Tutor", - "dialogue": "Why maybe it'cuse" - }, - { - "start": "07:38.88", - "stop": "07:41.28", - "speaker": "Student", - "dialogue": "Maybe it's a new destination or something like that." - }, - { - "start": "07:42.36", - "stop": "07:46.68", - "speaker": "Tutor", - "dialogue": "So C could represent a new destination or a point on the graph somewhere." - }, - { - "start": "07:47.28", - "stop": "07:51.96", - "speaker": "Student", - "dialogue": "Yeah, okay, it could, Oh yeah, like a new city or something like that." - }, - { - "start": "07:52.36", - "stop": "07:54.08", - "speaker": "Tutor", - "dialogue": "Okay, what do you think?" - }, - { - "start": "07:55.56", - "stop": "07:56.12", - "speaker": "Tutor", - "dialogue": "B to C?" - }, - { - "start": "07:56.68", - "stop": "07:57.60", - "speaker": "Tutor", - "dialogue": "This line segment?" - }, - { - "start": "07:58.16", - "stop": "07:59.28", - "speaker": "Tutor", - "dialogue": "What does it represent?" - }, - { - "start": "08:00.24", - "stop": "08:06.76", - "speaker": "Student", - "dialogue": "Like another like a, another segment of the Deust, like from the from point B, like city B to city C." - }, - { - "start": "08:07.28", - "stop": "08:11.72", - "speaker": "Tutor", - "dialogue": "Okay, so maybe those cities aren't marked on here, but they exist somewhere." - }, - { - "start": "08:12.32", - "stop": "08:12.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "08:13.04", - "stop": "08:14.72", - "speaker": "Tutor", - "dialogue": "Okay and then if I keep going?" - }, - { - "start": "08:19.48", - "stop": "08:19.52", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "08:19.76", - "stop": "08:20.36", - "speaker": "Tutor", - "dialogue": "Happens there." - }, - { - "start": "08:22.12", - "stop": "08:23.52", - "speaker": "Student", - "dialogue": "There's also another letter." - }, - { - "start": "08:24.72", - "stop": "08:25.96", - "speaker": "Tutor", - "dialogue": "What letter are you looking at?" - }, - { - "start": "08:26.68", - "stop": "08:26.72", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "08:28.32", - "stop": "08:34.96", - "speaker": "Tutor", - "dialogue": "So there's a letter D and a letter E. What happening in this segment between D and E?" - }, - { - "start": "08:35.68", - "stop": "08:38.76", - "speaker": "Student", - "dialogue": "It seems to be like changing, alternating what's?" - }, - { - "start": "08:39.00", - "stop": "08:41.04", - "speaker": "Tutor", - "dialogue": "Changing you're right, Something is changing there." - }, - { - "start": "08:41.72", - "stop": "08:45.28", - "speaker": "Student", - "dialogue": "Maybe like the hours, like, or maybe in minutes, something like that." - }, - { - "start": "08:46.92", - "stop": "08:47.32", - "speaker": "Tutor", - "dialogue": "Say more." - }, - { - "start": "08:47.36", - "stop": "08:48.04", - "speaker": "Tutor", - "dialogue": "What do you mean by that?" - }, - { - "start": "08:49.24", - "stop": "08:51.20", - "speaker": "Student", - "dialogue": "Like the distance is changing." - }, - { - "start": "08:54.72", - "stop": "08:57.96", - "speaker": "Tutor", - "dialogue": "Is just the distance changing there or no, like the Ti?" - }, - { - "start": "08:58.16", - "stop": "09:01.28", - "speaker": "Student", - "dialogue": "Dis di, I think distance and time." - }, - { - "start": "09:01.76", - "stop": "09:02.60", - "speaker": "Tutor", - "dialogue": "They're both changing." - }, - { - "start": "09:03.20", - "stop": "09:06.40", - "speaker": "Student", - "dialogue": "Yeah, it's like slightly going down and and up again." - }, - { - "start": "09:07.08", - "stop": "09:10.04", - "speaker": "Tutor", - "dialogue": "When you said it is slightly going down, that's really cool." - }, - { - "start": "09:10.40", - "stop": "09:12.68", - "speaker": "Tutor", - "dialogue": "Be specific about what it is." - }, - { - "start": "09:13.24", - "stop": "09:13.88", - "speaker": "Tutor", - "dialogue": "Is it the car?" - }, - { - "start": "09:14.52", - "stop": "09:15.40", - "speaker": "Tutor", - "dialogue": "is it, the distance?" - }, - { - "start": "09:15.64", - "stop": "09:17.28", - "speaker": "Tutor", - "dialogue": "is it miles, is it time?" - }, - { - "start": "09:17.80", - "stop": "09:21.48", - "speaker": "Tutor", - "dialogue": "there's lots of things on this map, so be specific on what is it?" - }, - { - "start": "09:22.52", - "stop": "09:24.56", - "speaker": "Student", - "dialogue": "I say like the hours specifically." - }, - { - "start": "09:25.92", - "stop": "09:29.80", - "speaker": "Tutor", - "dialogue": "The hours are increasing, decreasing or staying the same." - }, - { - "start": "09:30.52", - "stop": "09:35.56", - "speaker": "Student", - "dialogue": "They're increasing and decreasing, I think, but overall they're mostly increasing." - }, - { - "start": "09:36.96", - "stop": "09:39.96", - "speaker": "Tutor", - "dialogue": "The hours are mostly increasing or the miles are mostly increasing." - }, - { - "start": "09:40.52", - "stop": "09:41.08", - "speaker": "Student", - "dialogue": "The hours." - }, - { - "start": "09:41.64", - "stop": "09:41.92", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "09:43.64", - "stop": "09:43.84", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "09:44.28", - "stop": "09:49.64", - "speaker": "Tutor", - "dialogue": "C to D are the miles increasing, decreasing or staying the." - }, - { - "start": "09:49.72", - "stop": "09:51.48", - "speaker": "Student", - "dialogue": "Same, they're increasing." - }, - { - "start": "09:52.88", - "stop": "09:54.44", - "speaker": "Tutor", - "dialogue": "Is the distance I'm sorry?" - }, - { - "start": "09:54.64", - "stop": "09:58.68", - "speaker": "Tutor", - "dialogue": "Is the um hours increasing or decreasing or staying the same?" - }, - { - "start": "09:59.28", - "stop": "10:00.04", - "speaker": "Student", - "dialogue": "They're increasing." - }, - { - "start": "10:00.24", - "stop": "10:06.28", - "speaker": "Tutor", - "dialogue": "Increasing, those are some words I challenge you to use as we're working together today." - }, - { - "start": "10:06.36", - "stop": "10:10.08", - "speaker": "Tutor", - "dialogue": "Okay, increasing?" - }, - { - "start": "10:15.00", - "stop": "10:15.28", - "speaker": "Student", - "dialogue": "Saying." - }, - { - "start": "10:15.48", - "stop": "10:15.92", - "speaker": "Tutor", - "dialogue": "The same." - }, - { - "start": "10:18.00", - "stop": "10:18.32", - "speaker": "Student", - "dialogue": "Oky." - }, - { - "start": "10:19.36", - "stop": "10:24.52", - "speaker": "Tutor", - "dialogue": "And then also challenge yourself to use the other words that are on here when you think of saying it." - }, - { - "start": "10:25.52", - "stop": "10:29.36", - "speaker": "Tutor", - "dialogue": "That helps me understand how you're thinking and helps me understand how to help you learn." - }, - { - "start": "10:32.92", - "stop": "10:34.40", - "speaker": "Student", - "dialogue": "Excuse me, I didn't hear you that well." - }, - { - "start": "10:34.44", - "stop": "10:35.32", - "speaker": "Student", - "dialogue": "It was like cutting off." - }, - { - "start": "10:35.64", - "stop": "10:40.32", - "speaker": "Tutor", - "dialogue": "Oh, whenever we're working together to-day can you hear me now?" - }, - { - "start": "10:41.04", - "stop": "10:41.56", - "speaker": "Student", - "dialogue": "Y, I can." - }, - { - "start": "10:42.08", - "stop": "10:52.28", - "speaker": "Tutor", - "dialogue": "I challenge you to use these words, increasing, decreasing, staying the same, and also words like distance or miles and time or hours." - }, - { - "start": "10:53.44", - "stop": "10:53.72", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "10:54.04", - "stop": "10:56.00", - "speaker": "Tutor", - "dialogue": "Okay, yeah, all right." - }, - { - "start": "10:56.16", - "stop": "10:57.16", - "speaker": "Tutor", - "dialogue": "So now, let's" - }, - { - "start": "10:59.56", - "stop": "10:59.76", - "speaker": "Student", - "dialogue": "Look." - }, - { - "start": "10:59.92", - "stop": "11:01.60", - "speaker": "Tutor", - "dialogue": "Again, you told me" - }, - { - "start": "11:01.84", - "stop": "11:04.60", - "speaker": "Tutor", - "dialogue": "if my cursor is here, Where are you on the graph?" - }, - { - "start": "11:06.40", - "stop": "11:08.36", - "speaker": "Student", - "dialogue": "Right here, okay?" - }, - { - "start": "11:08.92", - "stop": "11:15.36", - "speaker": "Tutor", - "dialogue": "So let's label these letters and segments on the map." - }, - { - "start": "11:17.84", - "stop": "11:18.12", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "11:18.48", - "stop": "11:19.00", - "speaker": "Tutor", - "dialogue": "You sew." - }, - { - "start": "11:22.76", - "stop": "11:22.80", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "11:22.88", - "stop": "11:24.64", - "speaker": "Tutor", - "dialogue": "Can use the tools on the left- haand side." - }, - { - "start": "11:25.00", - "stop": "11:27.24", - "speaker": "Tutor", - "dialogue": "And where would you put a?" - }, - { - "start": "11:28.40", - "stop": "11:30.20", - "speaker": "Student", - "dialogue": "A would be like right here, O." - }, - { - "start": "11:31.72", - "stop": "11:32.64", - "speaker": "Tutor", - "dialogue": "And then keep going." - }, - { - "start": "11:40.92", - "stop": "11:42.24", - "speaker": "Student", - "dialogue": "Um, the entire thing just." - }, - { - "start": "11:42.32", - "stop": "11:45.20", - "speaker": "Tutor", - "dialogue": "Disappear, A did." - }, - { - "start": "11:46.20", - "stop": "11:47.84", - "speaker": "Student", - "dialogue": "Ya did for me al my hearen." - }, - { - "start": "11:49.60", - "stop": "11:52.16", - "speaker": "Tutor", - "dialogue": "M, let me try." - }, - { - "start": "11:54.92", - "stop": "11:54.96", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "11:55.08", - "stop": "11:55.76", - "speaker": "Tutor", - "dialogue": "You say it now." - }, - { - "start": "11:56.24", - "stop": "11:56.96", - "speaker": "Student", - "dialogue": "Yeah, it's back." - }, - { - "start": "11:57.24", - "stop": "11:57.56", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "12:00.96", - "stop": "12:03.08", - "speaker": "Student", - "dialogue": "Um, but now my tools are gone." - }, - { - "start": "12:05.84", - "stop": "12:06.16", - "speaker": "Tutor", - "dialogue": "Something?" - }, - { - "start": "12:06.24", - "stop": "12:06.28", - "speaker": "Student", - "dialogue": "With." - }, - { - "start": "12:06.40", - "stop": "12:08.12", - "speaker": "Tutor", - "dialogue": "Your ipad just got hitdden then." - }, - { - "start": "12:08.80", - "stop": "12:09.76", - "speaker": "Student", - "dialogue": "Yeah, it must have been." - }, - { - "start": "12:11.88", - "stop": "12:12.00", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "12:14.52", - "stop": "12:14.72", - "speaker": "Student", - "dialogue": "Try." - }, - { - "start": "12:14.80", - "stop": "12:18.72", - "speaker": "Tutor", - "dialogue": "To click like on the gray part of the screen, maybe, and see if they come back." - }, - { - "start": "12:20.64", - "stop": "12:21.88", - "speaker": "Student", - "dialogue": "No, it's not working." - }, - { - "start": "12:31.04", - "stop": "12:31.08", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "12:31.36", - "stop": "12:31.68", - "speaker": "Student", - "dialogue": "Wonder." - }, - { - "start": "12:33.48", - "stop": "12:33.52", - "speaker": "Tutor", - "dialogue": "Ca." - }, - { - "start": "12:33.68", - "stop": "12:33.72", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "12:33.80", - "stop": "12:37.88", - "speaker": "Tutor", - "dialogue": "Try clicking on the white part of the white part of the screen and seeing if that works if they come back." - }, - { - "start": "12:39.52", - "stop": "12:40.68", - "speaker": "Student", - "dialogue": "No, it didn't come back." - }, - { - "start": "12:41.12", - "stop": "12:43.92", - "speaker": "Tutor", - "dialogue": "I just saw you move your cursor, move your cursor on the white." - }, - { - "start": "12:44.20", - "stop": "12:46.08", - "speaker": "Tutor", - "dialogue": "Yeah, but there's no tools." - }, - { - "start": "12:46.92", - "stop": "12:48.04", - "speaker": "Student", - "dialogue": "Yeah, there's no tools." - }, - { - "start": "12:50.64", - "stop": "12:50.84", - "speaker": "Tutor", - "dialogue": "Hm." - }, - { - "start": "12:51.76", - "stop": "12:52.72", - "speaker": "Tutor", - "dialogue": "Well, how about we do this?" - }, - { - "start": "12:53.28", - "stop": "12:57.28", - "speaker": "Tutor", - "dialogue": "You put your cursor where you want me to label, and I'll label for you." - }, - { - "start": "12:58.04", - "stop": "13:01.52", - "speaker": "Student", - "dialogue": "Okay, so as I said here, A would be right here." - }, - { - "start": "13:01.88", - "stop": "13:08.40", - "speaker": "Student", - "dialogue": "Okay and then I think B would be about, Um, like somewhere right here all." - }, - { - "start": "13:08.52", - "stop": "13:12.36", - "speaker": "Tutor", - "dialogue": "Right, so I'm goning to put a point here right where yours is a." - }, - { - "start": "13:13.00", - "stop": "13:14.36", - "speaker": "Student", - "dialogue": "B, yep." - }, - { - "start": "13:16.68", - "stop": "13:17.00", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "13:17.68", - "stop": "13:20.32", - "speaker": "Student", - "dialogue": "Okay, and then C would be like right here about." - }, - { - "start": "13:21.60", - "stop": "13:26.52", - "speaker": "Tutor", - "dialogue": "And why would C be tell me why you put B where you did and why you put C?" - }, - { - "start": "13:28.04", - "stop": "13:37.04", - "speaker": "Student", - "dialogue": "Well, I sort of, because like B and C seem to have a less distance between them compared to the other Um points, so I would say like about there." - }, - { - "start": "13:37.88", - "stop": "13:42.96", - "speaker": "Tutor", - "dialogue": "And when you say less distance, are you looking at this part right here?" - }, - { - "start": "13:43.48", - "stop": "13:44.28", - "speaker": "Student", - "dialogue": "Yeah, that part." - }, - { - "start": "13:44.48", - "stop": "13:46.72", - "speaker": "Tutor", - "dialogue": "And that represents the distance between B and C." - }, - { - "start": "13:47.88", - "stop": "13:53.36", - "speaker": "Student", - "dialogue": "Yeah, so yeah, I like the hours as well cause the distance seems to stay constant." - }, - { - "start": "13:54.72", - "stop": "13:59.28", - "speaker": "Tutor", - "dialogue": "So if the distance from B to C is constant, what does that mean?" - }, - { - "start": "14:00.64", - "stop": "14:01.12", - "speaker": "Student", - "dialogue": "The, Um." - }, - { - "start": "14:01.24", - "stop": "14:02.44", - "speaker": "Student", - "dialogue": "the distance didn't change at." - }, - { - "start": "14:02.48", - "stop": "14:08.24", - "speaker": "Tutor", - "dialogue": "All, if the distance did not change at all, where is the car from B to C?" - }, - { - "start": "14:09.40", - "stop": "14:11.48", - "speaker": "Student", - "dialogue": "Me, it would be like right next to B, wouldn't it?" - }, - { - "start": "14:12.56", - "stop": "14:13.40", - "speaker": "Tutor", - "dialogue": "Is that a question?" - }, - { - "start": "14:13.76", - "stop": "14:14.52", - "speaker": "Tutor", - "dialogue": "Are you convinced?" - }, - { - "start": "14:14.68", - "stop": "14:15.32", - "speaker": "Tutor", - "dialogue": "Are you still think?" - }, - { - "start": "14:15.40", - "stop": "14:17.20", - "speaker": "Student", - "dialogue": "I'm like I'm still kind of thinking it" - }, - { - "start": "14:17.36", - "stop": "14:18.04", - "speaker": "Student", - "dialogue": "Thiss confusing me." - }, - { - "start": "14:18.16", - "stop": "14:22.24", - "speaker": "Student", - "dialogue": "but I would saying maybe, 'cause like the distance isn't changing, so that means the car isn't moving." - }, - { - "start": "14:23.12", - "stop": "14:28.08", - "speaker": "Tutor", - "dialogue": "And if the car isn't moving from B to C, where would point C be?" - }, - { - "start": "14:29.08", - "stop": "14:31.28", - "speaker": "Student", - "dialogue": "Or so it would be like, right next to B." - }, - { - "start": "14:32.56", - "stop": "14:33.68", - "speaker": "Tutor", - "dialogue": "Would it be right next to B?" - }, - { - "start": "14:34.24", - "stop": "14:35.48", - "speaker": "Tutor", - "dialogue": "like Yeah here." - }, - { - "start": "14:36.16", - "stop": "14:37.72", - "speaker": "Student", - "dialogue": "Yeah, like right there, So?" - }, - { - "start": "14:37.88", - "stop": "14:40.08", - "speaker": "Tutor", - "dialogue": "The car jumped off the road over to here." - }, - { - "start": "14:40.20", - "stop": "14:42.40", - "speaker": "Student", - "dialogue": "No, No, like maybe on be." - }, - { - "start": "14:42.60", - "stop": "14:43.80", - "speaker": "Student", - "dialogue": "I'm not sure how to explain it." - }, - { - "start": "14:43.92", - "stop": "14:45.80", - "speaker": "Student", - "dialogue": "Ah, but it would definitely be the same." - }, - { - "start": "14:46.80", - "stop": "14:50.20", - "speaker": "Tutor", - "dialogue": "So I'man a pause for a minute because you said I don't know." - }, - { - "start": "14:50.32", - "stop": "14:51.12", - "speaker": "Tutor", - "dialogue": "you're confusing me." - }, - { - "start": "14:51.36", - "stop": "14:54.04", - "speaker": "Tutor", - "dialogue": "And that's honestly what I say is cool." - }, - { - "start": "14:54.60", - "stop": "14:56.92", - "speaker": "Tutor", - "dialogue": "That means that your brain is trying to make sense of this." - }, - { - "start": "14:57.52", - "stop": "14:59.44", - "speaker": "Tutor", - "dialogue": "That's actually the process of learning." - }, - { - "start": "14:59.88", - "stop": "15:03.00", - "speaker": "Tutor", - "dialogue": "So when you feel confused, cool, lean into it." - }, - { - "start": "15:03.20", - "stop": "15:05.12", - "speaker": "Tutor", - "dialogue": "Say my brain is growing right now down." - }, - { - "start": "15:06.96", - "stop": "15:07.00", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "15:07.28", - "stop": "15:12.68", - "speaker": "Tutor", - "dialogue": "I am asking you if you're convinced because I want you to make sense of this versus me." - }, - { - "start": "15:12.88", - "stop": "15:13.12", - "speaker": "Tutor", - "dialogue": "Tell you." - }, - { - "start": "15:15.24", - "stop": "15:15.36", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "15:15.48", - "stop": "15:23.24", - "speaker": "Tutor", - "dialogue": "Right, So M, at first you said Point C was here, Then you said maybe it's here, and then you said maybe it's on B." - }, - { - "start": "15:25.88", - "stop": "15:25.92", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "15:26.44", - "stop": "15:31.48", - "speaker": "Tutor", - "dialogue": "You can take as much time as you want to think about that and then you tell me where you want me to put it." - }, - { - "start": "15:32.40", - "stop": "16:04.64", - "speaker": "Student", - "dialogue": "Okay, the thing I'm confused about is how like the distance between the two points are the same and like like the distance is the same, but the hours are different." - }, - { - "start": "16:05.24", - "stop": "16:05.48", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "16:06.04", - "stop": "16:11.40", - "speaker": "Tutor", - "dialogue": "So let's go back to overhear from B to C. What is happening?" - }, - { - "start": "16:11.60", - "stop": "16:12.28", - "speaker": "Tutor", - "dialogue": "With distance" - }, - { - "start": "16:12.96", - "stop": "16:13.16", - "speaker": "Tutor", - "dialogue": "They're" - }, - { - "start": "16:13.28", - "stop": "16:14.00", - "speaker": "Student", - "dialogue": "Staying the same." - }, - { - "start": "16:14.56", - "stop": "16:23.96", - "speaker": "Tutor", - "dialogue": "And from B to C, what is happening with hoursur'?" - }, - { - "start": "16:24.08", - "stop": "16:26.32", - "speaker": "Student", - "dialogue": "Like O chanin." - }, - { - "start": "16:26.80", - "stop": "16:27.36", - "speaker": "Tutor", - "dialogue": "It changed." - }, - { - "start": "16:27.60", - "stop": "16:27.96", - "speaker": "Tutor", - "dialogue": "How did it?" - }, - { - "start": "16:28.16", - "stop": "16:30.12", - "speaker": "Tutor", - "dialogue": "Yeah, did it increase or decrease?" - }, - { - "start": "16:31.04", - "stop": "16:31.52", - "speaker": "Student", - "dialogue": "Increased." - }, - { - "start": "16:32.24", - "stop": "16:39.80", - "speaker": "Tutor", - "dialogue": "It, Inc, so distance stayed the same while hours increased." - }, - { - "start": "16:41.08", - "stop": "16:41.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "16:42.00", - "stop": "16:48.08", - "speaker": "Tutor", - "dialogue": "So what does that mean happened with the car if the distance stayed the same, but the hours increased?" - }, - { - "start": "16:49.12", - "stop": "16:51.32", - "speaker": "Student", - "dialogue": "Maybe it means like the car didn't even move at all." - }, - { - "start": "16:51.84", - "stop": "16:53.36", - "speaker": "Student", - "dialogue": "It disk stayed in the same di." - }, - { - "start": "16:53.76", - "stop": "16:57.00", - "speaker": "Tutor", - "dialogue": "And if it stayed in the same spot, what do we know about the hours?" - }, - { - "start": "16:57.04", - "stop": "16:58.04", - "speaker": "Tutor", - "dialogue": "and what does that tell us?" - }, - { - "start": "17:00.44", - "stop": "17:03.20", - "speaker": "Student", - "dialogue": "Maybe the hours probably stayed the same as well." - }, - { - "start": "17:04.96", - "stop": "17:05.36", - "speaker": "Tutor", - "dialogue": "I don't know." - }, - { - "start": "17:05.44", - "stop": "17:06.92", - "speaker": "Tutor", - "dialogue": "are you questioning or are you convinced?" - }, - { - "start": "17:07.60", - "stop": "17:13.72", - "speaker": "Student", - "dialogue": "No, 'cause like the from point B to C, B starts at one hour, and like C is one point five." - }, - { - "start": "17:14.80", - "stop": "17:19.64", - "speaker": "Tutor", - "dialogue": "So did time stay the same or did it increase or decrease it?" - }, - { - "start": "17:19.84", - "stop": "17:20.36", - "speaker": "Student", - "dialogue": "Increased." - }, - { - "start": "17:21.60", - "stop": "17:29.56", - "speaker": "Tutor", - "dialogue": "So the car was not moving because distance did not increase, but time did increase." - }, - { - "start": "17:31.44", - "stop": "17:31.48", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "17:32.24", - "stop": "17:33.88", - "speaker": "Tutor", - "dialogue": "So that means the car was doing what?" - }, - { - "start": "17:34.16", - "stop": "17:34.72", - "speaker": "Tutor", - "dialogue": "For how long?" - }, - { - "start": "17:35.56", - "stop": "17:36.88", - "speaker": "Student", - "dialogue": "Is just parking or something?" - }, - { - "start": "17:37.12", - "stop": "17:39.80", - "speaker": "Tutor", - "dialogue": "Yeah, might have been like a car accident or something." - }, - { - "start": "17:40.40", - "stop": "17:41.76", - "speaker": "Tutor", - "dialogue": "Yeah, or it parked." - }, - { - "start": "17:41.88", - "stop": "17:46.92", - "speaker": "Tutor", - "dialogue": "but for all we know is that the car did not move for thirty minutes." - }, - { - "start": "17:48.28", - "stop": "17:48.56", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "17:49.28", - "stop": "17:54.36", - "speaker": "Tutor", - "dialogue": "So one variable stayed the same, one variable increased." - }, - { - "start": "17:55.36", - "stop": "17:59.48", - "speaker": "Student", - "dialogue": "Thex, the X variable increased and the Y variable lakes stayed the same." - }, - { - "start": "17:59.68", - "stop": "18:00.00", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "18:00.48", - "stop": "18:04.68", - "speaker": "Tutor", - "dialogue": "so how do we show where point C would be located on the map?" - }, - { - "start": "18:06.04", - "stop": "18:09.28", - "speaker": "Student", - "dialogue": "Like on, like literally, right next to B, where B is?" - }, - { - "start": "18:10.68", - "stop": "18:12.88", - "speaker": "Tutor", - "dialogue": "I don't hear any questioning in your voice any more." - }, - { - "start": "18:13.40", - "stop": "18:13.44", - "speaker": "Tutor", - "dialogue": "yeah." - }, - { - "start": "18:13.72", - "stop": "18:14.44", - "speaker": "Student", - "dialogue": "I hear you hel." - }, - { - "start": "18:14.88", - "stop": "18:15.84", - "speaker": "Tutor", - "dialogue": "I hear you saying yes." - }, - { - "start": "18:16.00", - "stop": "18:18.20", - "speaker": "Tutor", - "dialogue": "This is where it is and I know it is that true." - }, - { - "start": "18:18.84", - "stop": "18:18.88", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "18:19.32", - "stop": "18:19.56", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "18:20.16", - "stop": "18:20.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "18:21.56", - "stop": "18:21.80", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "18:22.88", - "stop": "18:27.60", - "speaker": "Tutor", - "dialogue": "Now this point that we already had, tell me where you want it to be for D." - }, - { - "start": "18:29.36", - "stop": "18:31.40", - "speaker": "Student", - "dialogue": "We, I would say like right about here." - }, - { - "start": "18:33.92", - "stop": "18:34.08", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "18:34.12", - "stop": "18:34.28", - "speaker": "Student", - "dialogue": "Here." - }, - { - "start": "18:34.92", - "stop": "18:34.96", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "18:35.88", - "stop": "18:36.16", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "18:38.92", - "stop": "18:38.96", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "18:39.08", - "stop": "18:39.32", - "speaker": "Student", - "dialogue": "How'd" - }, - { - "start": "18:39.36", - "stop": "18:40.32", - "speaker": "Tutor", - "dialogue": "You choose to put it there." - }, - { - "start": "18:41.08", - "stop": "18:43.72", - "speaker": "Student", - "dialogue": "Because it was like right near the um, bumpy part." - }, - { - "start": "18:44.72", - "stop": "18:46.36", - "speaker": "Tutor", - "dialogue": "And what's the bumpy part represent?" - }, - { - "start": "18:47.24", - "stop": "18:52.16", - "speaker": "Student", - "dialogue": "The time and distance and the road specifically." - }, - { - "start": "18:53.32", - "stop": "18:56.32", - "speaker": "Tutor", - "dialogue": "And time and distance is also being represented here." - }, - { - "start": "18:57.80", - "stop": "18:57.84", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "18:58.80", - "stop": "19:01.40", - "speaker": "Tutor", - "dialogue": "But why is this line straight?" - }, - { - "start": "19:03.08", - "stop": "19:04.48", - "speaker": "Student", - "dialogue": "Because a state constant." - }, - { - "start": "19:05.28", - "stop": "19:06.48", - "speaker": "Tutor", - "dialogue": "What state constant?" - }, - { - "start": "19:07.16", - "stop": "19:08.32", - "speaker": "Student", - "dialogue": "The time and distance." - }, - { - "start": "19:11.08", - "stop": "19:13.80", - "speaker": "Student", - "dialogue": "Well, not Yeah, like the time pretty much, didn't really it." - }, - { - "start": "19:14.08", - "stop": "19:15.48", - "speaker": "Student", - "dialogue": "It wasn't fluctuating as much." - }, - { - "start": "19:15.56", - "stop": "19:18.52", - "speaker": "Student", - "dialogue": "It was like steadily increasing such like, same as the distance." - }, - { - "start": "19:19.28", - "stop": "19:32.80", - "speaker": "Tutor", - "dialogue": "Ah, so when the distance is increasing at the constant rate, and time is increasing at the constant rate, nothing is fluctuating, I think is the the word I heard you say." - }, - { - "start": "19:33.36", - "stop": "19:33.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "19:34.44", - "stop": "19:37.00", - "speaker": "Tutor", - "dialogue": "So what does that mean as going on with the car right here?" - }, - { - "start": "19:38.32", - "stop": "19:39.80", - "speaker": "Student", - "dialogue": "It's like steadily moving." - }, - { - "start": "19:40.40", - "stop": "19:42.20", - "speaker": "Student", - "dialogue": "There's like no stops and such, yeah." - }, - { - "start": "19:42.44", - "stop": "19:46.52", - "speaker": "Tutor", - "dialogue": "It steadily moving, is it moving faster and then slower?" - }, - { - "start": "19:49.76", - "stop": "19:49.96", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "19:50.08", - "stop": "19:50.16", - "speaker": "Student", - "dialogue": "no." - }, - { - "start": "19:50.28", - "stop": "19:50.56", - "speaker": "Student", - "dialogue": "it's like." - }, - { - "start": "19:50.72", - "stop": "19:54.12", - "speaker": "Student", - "dialogue": "It's it going like for point from point d to point E about." - }, - { - "start": "19:54.20", - "stop": "19:56.12", - "speaker": "Student", - "dialogue": "It's like going faster and slower." - }, - { - "start": "19:57.28", - "stop": "20:00.60", - "speaker": "Tutor", - "dialogue": "So for point D to point e, is it?" - }, - { - "start": "20:02.80", - "stop": "20:03.08", - "speaker": "Student", - "dialogue": "Moving." - }, - { - "start": "20:03.16", - "stop": "20:05.84", - "speaker": "Tutor", - "dialogue": "At a constant rate or not a constant rate?" - }, - { - "start": "20:06.44", - "stop": "20:07.60", - "speaker": "Student", - "dialogue": "Not a constant rate." - }, - { - "start": "20:12.48", - "stop": "20:17.48", - "speaker": "Tutor", - "dialogue": "From point C to point B, is it moving at a constant rate or not a constant rate?" - }, - { - "start": "20:18.20", - "stop": "20:18.24", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "20:18.48", - "stop": "20:18.88", - "speaker": "Student", - "dialogue": "Constant." - }, - { - "start": "20:19.08", - "stop": "20:21.88", - "speaker": "Tutor", - "dialogue": "Rate, and how can you tell by looking at the map" - }, - { - "start": "20:22.00", - "stop": "20:25.44", - "speaker": "Tutor", - "dialogue": "And remember, I'm going to challenge you to use these words." - }, - { - "start": "20:26.20", - "stop": "20:27.56", - "speaker": "Tutor", - "dialogue": "These words, and these words." - }, - { - "start": "20:28.16", - "stop": "20:30.12", - "speaker": "Tutor", - "dialogue": "What makes it moving at a constant rate?" - }, - { - "start": "20:31.12", - "stop": "20:38.52", - "speaker": "Student", - "dialogue": "So the line between C and D is likes increasing steadily from fro from distance and mile and time." - }, - { - "start": "20:40.96", - "stop": "20:41.00", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "20:41.68", - "stop": "20:41.88", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "20:42.12", - "stop": "20:48.92", - "speaker": "Tutor", - "dialogue": "Distance increases, time also increases at the same constant rate." - }, - { - "start": "20:50.36", - "stop": "20:50.52", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "20:52.36", - "stop": "20:56.36", - "speaker": "Tutor", - "dialogue": "And from D to E, it is not a constant rate, Because why?" - }, - { - "start": "20:57.76", - "stop": "21:03.28", - "speaker": "Student", - "dialogue": "Because like the distance and time is like, is Um, decreasing and increasing at the same time?" - }, - { - "start": "21:04.68", - "stop": "21:09.12", - "speaker": "Tutor", - "dialogue": "Show me where you see distance and time decreasing at the same time." - }, - { - "start": "21:11.32", - "stop": "21:12.96", - "speaker": "Student", - "dialogue": "Like right here on the map." - }, - { - "start": "21:13.68", - "stop": "21:15.12", - "speaker": "Tutor", - "dialogue": "On the graphh." - }, - { - "start": "21:15.20", - "stop": "21:17.04", - "speaker": "Student", - "dialogue": "On the graph, like right here." - }, - { - "start": "21:19.72", - "stop": "21:21.28", - "speaker": "Tutor", - "dialogue": "What happened when it went right here?" - }, - { - "start": "21:21.64", - "stop": "21:22.24", - "speaker": "Tutor", - "dialogue": "this, this." - }, - { - "start": "21:22.76", - "stop": "21:24.24", - "speaker": "Student", - "dialogue": "This, it's going." - }, - { - "start": "21:24.44", - "stop": "21:26.28", - "speaker": "Student", - "dialogue": "A, It's increasing and decreasing." - }, - { - "start": "21:26.96", - "stop": "21:33.44", - "speaker": "Tutor", - "dialogue": "What is increasing and what is decreasing, And remember, I'm going to challenge you to use these." - }, - { - "start": "21:34.48", - "stop": "21:45.60", - "speaker": "Student", - "dialogue": "So, Um, the distance increases, but and then the time like decreases, But then like when you move on, as the distance is increasing, But so is the time." - }, - { - "start": "21:45.64", - "stop": "21:47.76", - "speaker": "Student", - "dialogue": "and then like repeats, but it's not constant." - }, - { - "start": "21:49.04", - "stop": "21:49.68", - "speaker": "Tutor", - "dialogue": "So the car?" - }, - { - "start": "21:49.96", - "stop": "21:53.44", - "speaker": "Tutor", - "dialogue": "is it moving at a nice fluid, constant rate?" - }, - { - "start": "21:54.48", - "stop": "21:57.76", - "speaker": "Tutor", - "dialogue": "or is it starting and stopping or speeding up and slowing down?" - }, - { - "start": "21:58.44", - "stop": "22:01.64", - "speaker": "Student", - "dialogue": "It's like starting and stopping and speeding slowing do." - }, - { - "start": "22:03.24", - "stop": "22:06.56", - "speaker": "Tutor", - "dialogue": "Okay, we are almost finished with our points." - }, - { - "start": "22:07.00", - "stop": "22:08.92", - "speaker": "Tutor", - "dialogue": "Where do you want E and F to be?" - }, - { - "start": "22:10.84", - "stop": "22:12.28", - "speaker": "Student", - "dialogue": "E would be right here." - }, - { - "start": "22:20.40", - "stop": "22:21.68", - "speaker": "Tutor", - "dialogue": "And where would F be?" - }, - { - "start": "22:22.44", - "stop": "22:23.64", - "speaker": "Student", - "dialogue": "At the end right here." - }, - { - "start": "22:27.44", - "stop": "22:27.96", - "speaker": "Tutor", - "dialogue": "And is that?" - }, - { - "start": "22:31.32", - "stop": "22:31.68", - "speaker": "Student", - "dialogue": "Because." - }, - { - "start": "22:32.48", - "stop": "22:32.52", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "22:34.64", - "stop": "22:35.00", - "speaker": "Student", - "dialogue": "Section." - }, - { - "start": "22:35.64", - "stop": "22:37.40", - "speaker": "Tutor", - "dialogue": "Is about as long as this section?" - }, - { - "start": "22:38.92", - "stop": "22:43.04", - "speaker": "Student", - "dialogue": "Yeah, but also because it seems to be like the, the road seems straighter." - }, - { - "start": "22:44.48", - "stop": "22:47.60", - "speaker": "Tutor", - "dialogue": "Okay, so let's pay attention to what's happening when the road is straight or not." - }, - { - "start": "22:51.04", - "stop": "22:51.08", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "22:52.76", - "stop": "22:56.52", - "speaker": "Tutor", - "dialogue": "I'm in a use purple, so if we look it here." - }, - { - "start": "22:58.72", - "stop": "22:58.92", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "22:59.00", - "stop": "22:59.44", - "speaker": "Tutor", - "dialogue": "A to B." - }, - { - "start": "23:01.84", - "stop": "23:02.00", - "speaker": "Student", - "dialogue": "Think." - }, - { - "start": "23:02.04", - "stop": "23:08.40", - "speaker": "Tutor", - "dialogue": "About what's happening with the car here, and where would this purple line be on the map?" - }, - { - "start": "23:12.60", - "stop": "23:15.00", - "speaker": "Student", - "dialogue": "Oh, from our point A to be here." - }, - { - "start": "23:17.08", - "stop": "23:17.76", - "speaker": "Tutor", - "dialogue": "That's where it would be." - }, - { - "start": "23:17.84", - "stop": "23:19.60", - "speaker": "Tutor", - "dialogue": "That's where you want me to draw the purple line." - }, - { - "start": "23:21.96", - "stop": "23:22.00", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "23:22.24", - "stop": "23:27.64", - "speaker": "Tutor", - "dialogue": "How come the purple line is curvey on the map, but it's straight on the graph?" - }, - { - "start": "23:29.08", - "stop": "23:35.92", - "speaker": "Student", - "dialogue": "May, because, like um, maybe because the road is actually separate from the graph, because the graph is representing distance and time." - }, - { - "start": "23:38.32", - "stop": "23:40.40", - "speaker": "Tutor", - "dialogue": "So it's separate but somehow connected." - }, - { - "start": "23:41.24", - "stop": "23:41.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "23:41.56", - "stop": "23:44.24", - "speaker": "Tutor", - "dialogue": "What's the relationship between the map and the graph?" - }, - { - "start": "23:45.36", - "stop": "23:50.88", - "speaker": "Student", - "dialogue": "Because the road could repre like the map will show like the road could be different." - }, - { - "start": "23:51.08", - "stop": "24:00.36", - "speaker": "Student", - "dialogue": "The road could be like, like contains, stopping, and then like speeding up, and such, which makes it like, not as constant compared to like roads that are straighter." - }, - { - "start": "24:02.76", - "stop": "24:09.48", - "speaker": "Tutor", - "dialogue": "Do you see A to B as being constant, T, or not constant?" - }, - { - "start": "24:10.08", - "stop": "24:11.32", - "speaker": "Student", - "dialogue": "I think itnt." - }, - { - "start": "24:12.24", - "stop": "24:17.84", - "speaker": "Tutor", - "dialogue": "So if it's constant, what does that mean in terms of miles and hours?" - }, - { - "start": "24:19.28", - "stop": "24:22.88", - "speaker": "Student", - "dialogue": "The miles and hours are both steadily increasing." - }, - { - "start": "24:23.92", - "stop": "24:30.48", - "speaker": "Tutor", - "dialogue": "And if they're both steadily increasing, is the car, tell me what is happening with the car's speed." - }, - { - "start": "24:31.64", - "stop": "24:35.60", - "speaker": "Student", - "dialogue": "The cars speed is like increasing, going fluidly as you." - }, - { - "start": "24:38.32", - "stop": "24:42.96", - "speaker": "Tutor", - "dialogue": "Is the car's speed increasing, decreasing or staying the same?" - }, - { - "start": "24:44.40", - "stop": "24:45.20", - "speaker": "Student", - "dialogue": "It's increasing." - }, - { - "start": "24:45.68", - "stop": "24:46.36", - "speaker": "Tutor", - "dialogue": "From A to B." - }, - { - "start": "24:47.36", - "stop": "24:47.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "24:48.76", - "stop": "24:49.64", - "speaker": "Tutor", - "dialogue": "And how do you know that?" - }, - { - "start": "24:51.12", - "stop": "24:53.96", - "speaker": "Student", - "dialogue": "Go on the graph because it's like going upwards." - }, - { - "start": "24:56.64", - "stop": "24:59.68", - "speaker": "Tutor", - "dialogue": "I don't see speed on this graph." - }, - { - "start": "25:00.32", - "stop": "25:02.64", - "speaker": "Tutor", - "dialogue": "I only see miles and hours." - }, - { - "start": "25:03.28", - "stop": "25:05.36", - "speaker": "Tutor", - "dialogue": "Does that give us information about the speed?" - }, - { - "start": "25:08.00", - "stop": "25:08.04", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "25:08.16", - "stop": "25:09.16", - "speaker": "Tutor", - "dialogue": "Doesn't it?" - }, - { - "start": "25:09.28", - "stop": "25:09.44", - "speaker": "Tutor", - "dialogue": "does?" - }, - { - "start": "25:09.92", - "stop": "25:09.96", - "speaker": "Tutor", - "dialogue": "it?" - }, - { - "start": "25:10.00", - "stop": "25:10.28", - "speaker": "Tutor", - "dialogue": "Doesn't" - }, - { - "start": "25:10.36", - "stop": "25:12.08", - "speaker": "Tutor", - "dialogue": "That would be a completely different graph." - }, - { - "start": "25:12.84", - "stop": "25:13.52", - "speaker": "Student", - "dialogue": "Yeah, I guess so." - }, - { - "start": "25:16.64", - "stop": "25:16.92", - "speaker": "Tutor", - "dialogue": "Where?" - }, - { - "start": "25:17.36", - "stop": "25:17.56", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "25:24.24", - "stop": "25:24.44", - "speaker": "Tutor", - "dialogue": "Where?" - }, - { - "start": "25:24.48", - "stop": "25:24.68", - "speaker": "Student", - "dialogue": "Would?" - }, - { - "start": "25:24.76", - "stop": "25:27.36", - "speaker": "Tutor", - "dialogue": "This line segment be the screen one from B to C." - }, - { - "start": "25:30.80", - "stop": "25:32.00", - "speaker": "Student", - "dialogue": "M like gright here." - }, - { - "start": "25:39.52", - "stop": "25:39.60", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "25:39.68", - "stop": "25:39.84", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "25:39.84", - "stop": "25:40.44", - "speaker": "Tutor", - "dialogue": "Your pointer is." - }, - { - "start": "25:41.28", - "stop": "25:41.32", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "25:45.84", - "stop": "25:51.12", - "speaker": "Tutor", - "dialogue": "Because at this point the car is just not changing distance, it's only changing time." - }, - { - "start": "25:52.32", - "stop": "25:56.40", - "speaker": "Student", - "dialogue": "Yeah, cause it's like, as you said, Par, like parking or something, staying still." - }, - { - "start": "25:57.04", - "stop": "26:01.80", - "speaker": "Tutor", - "dialogue": "Okay, what about from C to Z?" - }, - { - "start": "26:02.12", - "stop": "26:02.84", - "speaker": "Tutor", - "dialogue": "Where would that be?" - }, - { - "start": "26:05.88", - "stop": "26:06.72", - "speaker": "Student", - "dialogue": "Wre you here." - }, - { - "start": "26:11.24", - "stop": "26:11.76", - "speaker": "Tutor", - "dialogue": "So again?" - }, - { - "start": "26:14.00", - "stop": "26:14.04", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "26:14.16", - "stop": "26:16.08", - "speaker": "Tutor", - "dialogue": "Car is driving on this curved road." - }, - { - "start": "26:18.08", - "stop": "26:18.12", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "26:18.36", - "stop": "26:23.20", - "speaker": "Tutor", - "dialogue": "The line that is keeping track of distance and time is straight." - }, - { - "start": "26:24.28", - "stop": "26:26.20", - "speaker": "Tutor", - "dialogue": "I am still confused on how that can be." - }, - { - "start": "26:28.76", - "stop": "26:32.68", - "speaker": "Student", - "dialogue": "Perhaps because the graph is just showing distance and hours." - }, - { - "start": "26:34.80", - "stop": "26:38.52", - "speaker": "Tutor", - "dialogue": "So what is happening with distance and hours from C to D?" - }, - { - "start": "26:39.60", - "stop": "26:42.32", - "speaker": "Student", - "dialogue": "From C to d, the distance and hours are increasing." - }, - { - "start": "26:44.84", - "stop": "26:48.24", - "speaker": "Tutor", - "dialogue": "And you told me they were increasing at a constant rate or not a constant rate?" - }, - { - "start": "26:48.60", - "stop": "26:49.20", - "speaker": "Student", - "dialogue": "A constant." - }, - { - "start": "26:49.40", - "stop": "26:56.00", - "speaker": "Tutor", - "dialogue": "Rate, so if they're increasing at a constant rate, that means for every certain amount of miles." - }, - { - "start": "26:58.08", - "stop": "26:58.12", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "26:58.28", - "stop": "27:00.80", - "speaker": "Tutor", - "dialogue": "Takes the car the same amount of time to go there." - }, - { - "start": "27:02.96", - "stop": "27:03.08", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "27:03.16", - "stop": "27:06.40", - "speaker": "Tutor", - "dialogue": "Long does it take the car to go from C to D?" - }, - { - "start": "27:10.08", - "stop": "27:10.52", - "speaker": "Student", - "dialogue": "Um, it?" - }, - { - "start": "27:10.76", - "stop": "27:16.52", - "speaker": "Student", - "dialogue": "so the C is at one point five hours, and D stops at about like two point four." - }, - { - "start": "27:16.68", - "stop": "27:17.28", - "speaker": "Student", - "dialogue": "something like that." - }, - { - "start": "27:18.00", - "stop": "27:18.96", - "speaker": "Tutor", - "dialogue": "You can estimate it." - }, - { - "start": "27:20.56", - "stop": "27:25.64", - "speaker": "Student", - "dialogue": "I would say from C to D would take about three point, something, three point seven hours." - }, - { - "start": "27:26.52", - "stop": "27:29.40", - "speaker": "Tutor", - "dialogue": "And where do you see the three point seven hours at?" - }, - { - "start": "27:29.44", - "stop": "27:30.72", - "speaker": "Tutor", - "dialogue": "How did you get three point seven?" - }, - { - "start": "27:31.76", - "stop": "27:36.20", - "speaker": "Student", - "dialogue": "Since you asked for like a total amount of time, I guess I, I did one point five plus" - }, - { - "start": "27:36.28", - "stop": "27:37.84", - "speaker": "Student", - "dialogue": "whatever, D would be like two point." - }, - { - "start": "27:40.08", - "stop": "27:43.32", - "speaker": "Tutor", - "dialogue": "So earlier you said these points could be like towns on the map?" - }, - { - "start": "27:44.04", - "stop": "27:48.84", - "speaker": "Tutor", - "dialogue": "Yeah, so we've been in town C, and now we travel to town" - }, - { - "start": "27:49.24", - "stop": "27:53.68", - "speaker": "Tutor", - "dialogue": "D, How long did it take us to get from C to D?" - }, - { - "start": "28:11.24", - "stop": "28:12.68", - "speaker": "Student", - "dialogue": "Three point eight hours in tot." - }, - { - "start": "28:14.92", - "stop": "28:18.08", - "speaker": "Tutor", - "dialogue": "From C to d, your prediction is three point eight hours." - }, - { - "start": "28:18.68", - "stop": "28:18.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "28:22.12", - "stop": "28:29.68", - "speaker": "Tutor", - "dialogue": "And with your cursor, show me where you see three point eight hours on the like, How did you get three point eight where those numbers come from?" - }, - { - "start": "28:30.84", - "stop": "28:45.52", - "speaker": "Student", - "dialogue": "Well, you said, like the total amount of time it would take you to go from C to D. so I took one point five, which is right here, and I went from D, and I estimated like about two point three, and then I added the two Um numbers." - }, - { - "start": "28:47.44", - "stop": "28:48.48", - "speaker": "Tutor", - "dialogue": "Okay, so right here?" - }, - { - "start": "28:49.48", - "stop": "28:49.52", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "28:50.40", - "stop": "28:52.44", - "speaker": "Tutor", - "dialogue": "Is one point five?" - }, - { - "start": "28:54.24", - "stop": "28:54.28", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "28:54.52", - "stop": "28:57.84", - "speaker": "Tutor", - "dialogue": "Right here's." - }, - { - "start": "28:57.88", - "stop": "28:58.04", - "speaker": "Student", - "dialogue": "Two." - }, - { - "start": "28:58.08", - "stop": "28:58.88", - "speaker": "Tutor", - "dialogue": "Point five hours." - }, - { - "start": "28:59.60", - "stop": "28:59.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "29:01.48", - "stop": "29:05.12", - "speaker": "Tutor", - "dialogue": "So this is one point five hours from when?" - }, - { - "start": "29:07.80", - "stop": "29:08.32", - "speaker": "Student", - "dialogue": "Excuse me." - }, - { - "start": "29:09.28", - "stop": "29:09.32", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "29:09.56", - "stop": "29:09.92", - "speaker": "Tutor", - "dialogue": "What does this?" - }, - { - "start": "29:10.08", - "stop": "29:11.40", - "speaker": "Tutor", - "dialogue": "one point five hours mean?" - }, - { - "start": "29:13.56", - "stop": "29:17.36", - "speaker": "Student", - "dialogue": "That's like when it, when it like in the time and the journey where it started." - }, - { - "start": "29:17.92", - "stop": "29:22.84", - "speaker": "Tutor", - "dialogue": "Yeah, one point five hours is how long it took us to get from A to C." - }, - { - "start": "29:27.24", - "stop": "29:27.28", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "29:27.64", - "stop": "29:28.80", - "speaker": "Tutor", - "dialogue": "Now we are at sea." - }, - { - "start": "29:32.12", - "stop": "29:32.16", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "29:32.36", - "stop": "29:42.08", - "speaker": "Tutor", - "dialogue": "We were driving for an hour an hour, then we stopped for half an hour, and now we're ready to get back on the road and we go to D." - }, - { - "start": "29:45.28", - "stop": "29:45.32", - "speaker": "Student", - "dialogue": "D." - }, - { - "start": "29:45.88", - "stop": "29:57.48", - "speaker": "Tutor", - "dialogue": "You said is at two point five, Is that two and a half hours from the beginning of our trip, or two and a half hours from C to D?" - }, - { - "start": "29:59.56", - "stop": "30:00.32", - "speaker": "Student", - "dialogue": "From C to D." - }, - { - "start": "30:01.64", - "stop": "30:05.24", - "speaker": "Tutor", - "dialogue": "So from this section to this section is two and a half." - }, - { - "start": "30:07.24", - "stop": "30:07.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "30:09.68", - "stop": "30:13.40", - "speaker": "Tutor", - "dialogue": "How long does it take to get from the beginning all the way over to D?" - }, - { - "start": "30:19.36", - "stop": "30:26.36", - "speaker": "Student", - "dialogue": "Oh, if we're talking about how, it's just from c to d, in total, like the amount of hours, it would be like an hour between the distance." - }, - { - "start": "30:27.44", - "stop": "30:34.08", - "speaker": "Tutor", - "dialogue": "So from point C to point D, it takes one hour." - }, - { - "start": "30:35.12", - "stop": "30:35.16", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "30:36.88", - "stop": "30:41.72", - "speaker": "Tutor", - "dialogue": "From point A to point D is two and a half hours." - }, - { - "start": "30:42.68", - "stop": "30:42.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "30:43.52", - "stop": "30:48.76", - "speaker": "Tutor", - "dialogue": "So we have to be careful of where we're talking about our startingpoint coming from, Huh?" - }, - { - "start": "30:52.16", - "stop": "30:52.32", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "30:53.08", - "stop": "30:54.60", - "speaker": "Tutor", - "dialogue": "We'll do one more thing." - }, - { - "start": "31:05.32", - "stop": "31:05.60", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "31:05.96", - "stop": "31:14.20", - "speaker": "Tutor", - "dialogue": "So let's think about this from A to B. How much time and how much distance has passed from A to B?" - }, - { - "start": "31:16.52", - "stop": "31:17.00", - "speaker": "Student", - "dialogue": "An hour." - }, - { - "start": "31:17.80", - "stop": "31:18.32", - "speaker": "Tutor", - "dialogue": "One hour." - }, - { - "start": "31:19.16", - "stop": "31:19.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "31:20.04", - "stop": "31:21.84", - "speaker": "Tutor", - "dialogue": "And how much distance has passed?" - }, - { - "start": "31:23.28", - "stop": "31:24.64", - "speaker": "Student", - "dialogue": "This is fifty miles." - }, - { - "start": "31:28.20", - "stop": "31:34.88", - "speaker": "Tutor", - "dialogue": "So from A to B, the car travelled fifty miles." - }, - { - "start": "31:39.12", - "stop": "31:39.16", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "31:39.32", - "stop": "31:40.56", - "speaker": "Tutor", - "dialogue": "It took how many hours?" - }, - { - "start": "31:41.48", - "stop": "31:42.48", - "speaker": "Student", - "dialogue": "Inn hour, one hour." - }, - { - "start": "31:43.68", - "stop": "31:44.52", - "speaker": "Tutor", - "dialogue": "In one hour." - }, - { - "start": "31:47.36", - "stop": "31:47.40", - "speaker": "Student", - "dialogue": "With." - }, - { - "start": "31:47.64", - "stop": "31:51.96", - "speaker": "Tutor", - "dialogue": "That information, would you be able to tell me how fast the car was traveling?" - }, - { - "start": "32:00.00", - "stop": "32:00.84", - "speaker": "Student", - "dialogue": "I, I think so." - }, - { - "start": "32:01.16", - "stop": "32:07.68", - "speaker": "Student", - "dialogue": "Yeah, partially like, because if it's if it's driving fifty miles in an hour, I think you could determine the speed." - }, - { - "start": "32:08.16", - "stop": "32:09.56", - "speaker": "Tutor", - "dialogue": "How would you determine the speed?" - }, - { - "start": "32:11.88", - "stop": "32:14.96", - "speaker": "Student", - "dialogue": "Um, something like it would be like the average rate of change so like." - }, - { - "start": "32:22.60", - "stop": "32:22.76", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "32:22.80", - "stop": "32:29.84", - "speaker": "Student", - "dialogue": "Not sure how to explain it, but like if it took fifty min, fifty, if it took an hour to travel fifty miles then." - }, - { - "start": "32:37.16", - "stop": "32:42.12", - "speaker": "Tutor", - "dialogue": "What unit do we use to describe speed when we're Tim Miles?" - }, - { - "start": "32:42.68", - "stop": "32:43.52", - "speaker": "Student", - "dialogue": "Miles per hour." - }, - { - "start": "32:44.20", - "stop": "32:46.08", - "speaker": "Tutor", - "dialogue": "Ah, so speed?" - }, - { - "start": "32:47.00", - "stop": "32:50.20", - "speaker": "Tutor", - "dialogue": "I just want to change colors because it seems funhm." - }, - { - "start": "32:51.28", - "stop": "32:51.32", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "32:51.68", - "stop": "32:52.04", - "speaker": "Tutor", - "dialogue": "Speed." - }, - { - "start": "32:56.80", - "stop": "32:56.84", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "32:56.92", - "stop": "32:59.72", - "speaker": "Tutor", - "dialogue": "Kept track in miles per hour." - }, - { - "start": "33:02.04", - "stop": "33:02.44", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "33:03.32", - "stop": "33:04.60", - "speaker": "Tutor", - "dialogue": "Per hour." - }, - { - "start": "33:06.76", - "stop": "33:06.80", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "33:06.96", - "stop": "33:16.80", - "speaker": "Tutor", - "dialogue": "If I know how many miles it takes something to go, and I know how many that is in relationship to one hour, then I can determine the speed." - }, - { - "start": "33:17.04", - "stop": "33:31.36", - "speaker": "Tutor", - "dialogue": "So if I say a airplane is travelling three hundred miles per hour, that means it travels a distance of three hundred miles in the amount of time of one hour." - }, - { - "start": "33:33.08", - "stop": "33:33.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "33:34.20", - "stop": "33:38.12", - "speaker": "Tutor", - "dialogue": "So, could you tell me what the speed is of the car from A to B?" - }, - { - "start": "33:39.68", - "stop": "33:41.88", - "speaker": "Student", - "dialogue": "So it would be going off fifty miles per hour." - }, - { - "start": "33:42.24", - "stop": "33:50.64", - "speaker": "Tutor", - "dialogue": "A, So if we know the distance and we know the hours, the relationship between them tells us the speed." - }, - { - "start": "33:52.08", - "stop": "33:52.28", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "33:52.36", - "stop": "33:52.40", - "speaker": "Student", - "dialogue": "yeah." - }, - { - "start": "33:53.80", - "stop": "33:56.92", - "speaker": "Tutor", - "dialogue": "How fast is the car going from B to C?" - }, - { - "start": "34:01.28", - "stop": "34:06.32", - "speaker": "Student", - "dialogue": "Um, it's going like like, Um?" - }, - { - "start": "34:15.80", - "stop": "34:15.88", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "34:15.96", - "stop": "34:17.40", - "speaker": "Student", - "dialogue": "Wouldn't it be going like ten?" - }, - { - "start": "34:18.16", - "stop": "34:21.28", - "speaker": "Student", - "dialogue": "The distance stayed the same so it wouldn't be moving at." - }, - { - "start": "34:21.36", - "stop": "34:28.56", - "speaker": "Tutor", - "dialogue": "All so, if the distance stayed the same, what number would we use to say how many miles the car has traveled?" - }, - { - "start": "34:29.36", - "stop": "34:30.16", - "speaker": "Student", - "dialogue": "Zero miles pro." - }, - { - "start": "34:30.36", - "stop": "34:35.24", - "speaker": "Tutor", - "dialogue": "It has traveled zero miles in not a full hour." - }, - { - "start": "34:35.40", - "stop": "34:40.44", - "speaker": "Tutor", - "dialogue": "In this one It is a ha, ye so, the speed." - }, - { - "start": "34:43.76", - "stop": "34:43.96", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "34:44.04", - "stop": "34:45.32", - "speaker": "Tutor", - "dialogue": "Not moving, so you're right." - }, - { - "start": "34:45.44", - "stop": "34:48.60", - "speaker": "Tutor", - "dialogue": "it is zero miles per hour." - }, - { - "start": "34:51.48", - "stop": "34:55.12", - "speaker": "Tutor", - "dialogue": "What is the speed of the car from C to D?" - }, - { - "start": "35:04.16", - "stop": "35:06.40", - "speaker": "Student", - "dialogue": "Umly, about sixty miles per hour." - }, - { - "start": "35:06.72", - "stop": "35:07.68", - "speaker": "Tutor", - "dialogue": "And how did you get that?" - }, - { - "start": "35:08.56", - "stop": "35:12.04", - "speaker": "Student", - "dialogue": "Because the increments is going up in increments of ten mmhm." - }, - { - "start": "35:13.08", - "stop": "35:13.12", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "35:13.36", - "stop": "35:20.40", - "speaker": "Student", - "dialogue": "I calculated from point C, which is ten, twenty, thirty, forty, fifty, and sixty a point." - }, - { - "start": "35:21.48", - "stop": "35:27.20", - "speaker": "Tutor", - "dialogue": "So that means the car traveled the distance increased by sixty miles." - }, - { - "start": "35:29.12", - "stop": "35:29.16", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "35:29.36", - "stop": "35:35.60", - "speaker": "Tutor", - "dialogue": "The time that it took to do that was one hour, so the speed is sixty miles per hour." - }, - { - "start": "35:38.68", - "stop": "35:38.72", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "35:38.88", - "stop": "35:42.68", - "speaker": "Tutor", - "dialogue": "If it's a straight line and it's moving at a constant rate." - }, - { - "start": "35:45.04", - "stop": "35:45.20", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "35:45.28", - "stop": "35:48.48", - "speaker": "Tutor", - "dialogue": "We would say the speed of the car is constant." - }, - { - "start": "35:49.40", - "stop": "35:55.28", - "speaker": "Tutor", - "dialogue": "Is it starting and stopping, slowing or or getting faster, or is it driving at the same speed?" - }, - { - "start": "35:56.24", - "stop": "35:57.20", - "speaker": "Student", - "dialogue": "Is to driving at the?" - }, - { - "start": "35:57.24", - "stop": "35:58.92", - "speaker": "Tutor", - "dialogue": "Same speed driving at the same speed." - }, - { - "start": "35:59.16", - "stop": "36:00.92", - "speaker": "Tutor", - "dialogue": "Yup all right now, let's look at E and F." - }, - { - "start": "36:05.32", - "stop": "36:05.36", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "36:05.40", - "stop": "36:06.68", - "speaker": "Tutor", - "dialogue": "You think the speed would be there?" - }, - { - "start": "36:10.52", - "stop": "36:16.28", - "speaker": "Student", - "dialogue": "Like about like ten miles?" - }, - { - "start": "36:17.48", - "stop": "36:23.92", - "speaker": "Tutor", - "dialogue": "So the car traveled ten miles in what amount of time?" - }, - { - "start": "36:25.80", - "stop": "36:32.52", - "speaker": "Student", - "dialogue": "In less like, I'd say thirty minutes, Poplo." - }, - { - "start": "36:33.04", - "stop": "36:41.84", - "speaker": "Tutor", - "dialogue": "Okay, now, to figure out the speed, I have to know the relationship of miles to one hour." - }, - { - "start": "36:43.32", - "stop": "36:43.36", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "36:43.64", - "stop": "36:47.12", - "speaker": "Tutor", - "dialogue": "Is telling us the miles it took to travel in half an hour?" - }, - { - "start": "36:49.36", - "stop": "36:49.48", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "36:49.56", - "stop": "36:52.08", - "speaker": "Tutor", - "dialogue": "Could we use that to figure out this speed?" - }, - { - "start": "36:59.36", - "stop": "37:03.16", - "speaker": "Student", - "dialogue": "So it's like it's telling us that maybe in an hour it would be" - }, - { - "start": "37:03.72", - "stop": "37:09.20", - "speaker": "Student", - "dialogue": "if it traveled twenty miles in an hour, it would be able to travel twenty miles." - }, - { - "start": "37:10.08", - "stop": "37:13.92", - "speaker": "Tutor", - "dialogue": "Ah, so if it takes ten miles to go a half hour." - }, - { - "start": "37:15.56", - "stop": "37:15.80", - "speaker": "Student", - "dialogue": "Which?" - }, - { - "start": "37:15.88", - "stop": "37:18.64", - "speaker": "Tutor", - "dialogue": "I wish you could draw these things to see how you're thinking." - }, - { - "start": "37:20.80", - "stop": "37:20.84", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "37:21.04", - "stop": "37:22.04", - "speaker": "Tutor", - "dialogue": "If you, it takes." - }, - { - "start": "37:25.64", - "stop": "37:25.84", - "speaker": "Student", - "dialogue": "Ten." - }, - { - "start": "37:27.08", - "stop": "37:27.44", - "speaker": "Tutor", - "dialogue": "Miles." - }, - { - "start": "37:30.16", - "stop": "37:30.20", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "37:30.36", - "stop": "37:30.92", - "speaker": "Tutor", - "dialogue": "Half an hour." - }, - { - "start": "37:32.28", - "stop": "37:32.32", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "37:32.88", - "stop": "37:35.76", - "speaker": "Tutor", - "dialogue": "The whole hour would be another ten miles." - }, - { - "start": "37:38.76", - "stop": "37:38.80", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "37:40.00", - "stop": "37:43.04", - "speaker": "Tutor", - "dialogue": "You said twenty miles in one hour." - }, - { - "start": "37:44.08", - "stop": "37:44.12", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "37:45.88", - "stop": "37:50.00", - "speaker": "Tutor", - "dialogue": "And that would help us know that the speed is twenty miles per hour." - }, - { - "start": "37:51.48", - "stop": "37:51.52", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "37:54.80", - "stop": "37:54.84", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "37:55.00", - "stop": "37:56.56", - "speaker": "Tutor", - "dialogue": "This relationship called a math." - }, - { - "start": "37:56.72", - "stop": "37:57.04", - "speaker": "Tutor", - "dialogue": "Do you know?" - }, - { - "start": "37:58.60", - "stop": "38:00.92", - "speaker": "Student", - "dialogue": "A, would it be like an average rate of change?" - }, - { - "start": "38:01.84", - "stop": "38:09.32", - "speaker": "Tutor", - "dialogue": "The average rate of change is actually the speed you have figured out the average rate of change." - }, - { - "start": "38:09.36", - "stop": "38:11.24", - "speaker": "Tutor", - "dialogue": "It's also sometimes called a slope." - }, - { - "start": "38:14.60", - "stop": "38:14.64", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "38:14.84", - "stop": "38:23.80", - "speaker": "Tutor", - "dialogue": "In this situation you found a slope of these different lines, But when I have two things like this, This thinking that you used here, cause you came up with twenty." - }, - { - "start": "38:24.80", - "stop": "38:26.24", - "speaker": "Tutor", - "dialogue": "You used this thinking here." - }, - { - "start": "38:26.56", - "stop": "38:31.96", - "speaker": "Tutor", - "dialogue": "Do you know what this relationship is called when you have these two numbers in a line, a equal sign and all of that?" - }, - { - "start": "38:33.40", - "stop": "38:34.32", - "speaker": "Student", - "dialogue": "Uh, I'm not sure." - }, - { - "start": "38:34.56", - "stop": "38:35.72", - "speaker": "Student", - "dialogue": "Maybe like a percentage." - }, - { - "start": "38:36.48", - "stop": "38:38.48", - "speaker": "Tutor", - "dialogue": "Yeah, you're thinking A, it's something to do with fractions." - }, - { - "start": "38:38.60", - "stop": "38:39.40", - "speaker": "Tutor", - "dialogue": "Right this?" - }, - { - "start": "38:39.68", - "stop": "38:40.64", - "speaker": "Tutor", - "dialogue": "you have powerful thinking." - }, - { - "start": "38:40.72", - "stop": "38:42.76", - "speaker": "Tutor", - "dialogue": "I just want you to be able to communicate what that is." - }, - { - "start": "38:42.88", - "stop": "38:49.96", - "speaker": "Tutor", - "dialogue": "So what you were doing here was using equivalent fractions or a proportionate relationship." - }, - { - "start": "38:50.80", - "stop": "38:52.08", - "speaker": "Tutor", - "dialogue": "Do those words sound mear?" - }, - { - "start": "38:52.96", - "stop": "38:53.28", - "speaker": "Student", - "dialogue": "It does." - }, - { - "start": "38:53.76", - "stop": "38:54.60", - "speaker": "Tutor", - "dialogue": "Or a ratio?" - }, - { - "start": "38:56.28", - "stop": "38:56.40", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "38:56.52", - "stop": "39:06.92", - "speaker": "Tutor", - "dialogue": "Yeah, you were thinking about the ratio of miles to ours, and you used equivalent ratios, which is a proportionate relationship." - }, - { - "start": "39:10.20", - "stop": "39:10.24", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "39:10.36", - "stop": "39:11.16", - "speaker": "Tutor", - "dialogue": "Think it's pretty cool?" - }, - { - "start": "39:11.20", - "stop": "39:12.04", - "speaker": "Tutor", - "dialogue": "Do you think it's cool?" - }, - { - "start": "39:12.68", - "stop": "39:13.16", - "speaker": "Student", - "dialogue": "Yeah, it is." - }, - { - "start": "39:13.48", - "stop": "39:13.88", - "speaker": "Student", - "dialogue": "I remember." - }, - { - "start": "39:13.96", - "stop": "39:20.24", - "speaker": "Student", - "dialogue": "I recall learning about this in like seventh grade, but because of Covid, we got like classes got cut short." - }, - { - "start": "39:20.92", - "stop": "39:33.08", - "speaker": "Tutor", - "dialogue": "Yeah, and sometimes W, in class they'll use words and then you find some answers, but you're not really making sense of what the word is that they're using, right?" - }, - { - "start": "39:33.88", - "stop": "39:34.64", - "speaker": "Student", - "dialogue": "Yes, sometimes." - }, - { - "start": "39:34.88", - "stop": "39:47.40", - "speaker": "Tutor", - "dialogue": "So I wanted you to be able to see here that when you talk about constant rate, you're talking about a rate of change or a slope or speed, those are all the same thinking." - }, - { - "start": "39:49.12", - "stop": "39:49.28", - "speaker": "Student", - "dialogue": "When?" - }, - { - "start": "39:49.28", - "stop": "39:51.12", - "speaker": "Tutor", - "dialogue": "You're finding these equivalent relationships." - }, - { - "start": "39:51.20", - "stop": "39:52.04", - "speaker": "Tutor", - "dialogue": "They are ratios." - }, - { - "start": "39:53.44", - "stop": "39:55.12", - "speaker": "Tutor", - "dialogue": "We're not going to go to the third one." - }, - { - "start": "39:55.20", - "stop": "39:57.32", - "speaker": "Tutor", - "dialogue": "Since you can't use your your drawing tool." - }, - { - "start": "39:57.40", - "stop": "39:58.80", - "speaker": "Tutor", - "dialogue": "Have you been able to get the tools back?" - }, - { - "start": "39:59.36", - "stop": "40:00.12", - "speaker": "Student", - "dialogue": "No, this shall not." - }, - { - "start": "40:00.32", - "stop": "40:01.12", - "speaker": "Tutor", - "dialogue": "Back, No, Ok." - }, - { - "start": "40:01.36", - "stop": "40:03.44", - "speaker": "Tutor", - "dialogue": "That's good feedback for us in the team Caause." - }, - { - "start": "40:03.48", - "stop": "40:09.76", - "speaker": "Tutor", - "dialogue": "You're also helping us learn how to use this platform better, so I will make sure that they know that maybe on a ipad" - }, - { - "start": "40:09.92", - "stop": "40:11.56", - "speaker": "Tutor", - "dialogue": "the tools disappear sometimes." - }, - { - "start": "40:12.32", - "stop": "40:12.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "40:13.00", - "stop": "40:14.36", - "speaker": "Tutor", - "dialogue": "Oka, cool." - }, - { - "start": "40:14.68", - "stop": "40:16.24", - "speaker": "Tutor", - "dialogue": "what was this experience like for you?" - }, - { - "start": "40:17.04", - "stop": "40:18.08", - "speaker": "Student", - "dialogue": "I think it was very fun." - }, - { - "start": "40:18.20", - "stop": "40:18.64", - "speaker": "Student", - "dialogue": "It helped me." - }, - { - "start": "40:18.76", - "stop": "40:20.20", - "speaker": "Student", - "dialogue": "it really like open my mind." - }, - { - "start": "40:21.24", - "stop": "40:22.48", - "speaker": "Tutor", - "dialogue": "Open your mind in what way?" - }, - { - "start": "40:23.04", - "stop": "40:28.80", - "speaker": "Student", - "dialogue": "And like to like, learn like actually, like, like relating graphs to a map or something like that." - }, - { - "start": "40:29.84", - "stop": "40:32.28", - "speaker": "Tutor", - "dialogue": "Yeah, sometimes we think about em as two different things, huh?" - }, - { - "start": "40:33.00", - "stop": "40:33.04", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "40:33.80", - "stop": "40:37.28", - "speaker": "Tutor", - "dialogue": "But yeah, you spent a lot of time doing an excellent job of making sense of." - }, - { - "start": "40:37.44", - "stop": "40:39.60", - "speaker": "Tutor", - "dialogue": "how come it's a kurby line here, But it's a straight line." - }, - { - "start": "40:39.68", - "stop": "40:39.96", - "speaker": "Tutor", - "dialogue": "Thre." - }, - { - "start": "40:40.40", - "stop": "40:42.68", - "speaker": "Tutor", - "dialogue": "And does the map start up here, Or" - }, - { - "start": "40:42.72", - "stop": "40:45.28", - "speaker": "Tutor", - "dialogue": "do they start down here and really thinking about what?" - }, - { - "start": "40:45.56", - "stop": "40:45.60", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "40:45.96", - "stop": "40:46.00", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "40:46.96", - "stop": "40:49.12", - "speaker": "Tutor", - "dialogue": "My final question for you was what do graphs?" - }, - { - "start": "40:50.28", - "stop": "40:51.20", - "speaker": "Tutor", - "dialogue": "Why do we have graphs?" - }, - { - "start": "40:51.24", - "stop": "40:52.48", - "speaker": "Tutor", - "dialogue": "Then what do they keep track of?" - }, - { - "start": "40:52.56", - "stop": "40:53.36", - "speaker": "Tutor", - "dialogue": "what do they represent?" - }, - { - "start": "40:54.16", - "stop": "40:57.52", - "speaker": "Student", - "dialogue": "To keep track of like the time miles, stuff like that." - }, - { - "start": "40:58.36", - "stop": "41:05.68", - "speaker": "Tutor", - "dialogue": "Yeah, a graph like shows how something is changing on an Exx axis, so time is changing." - }, - { - "start": "41:05.84", - "stop": "41:06.24", - "speaker": "Tutor", - "dialogue": "Somehow." - }, - { - "start": "41:07.00", - "stop": "41:11.88", - "speaker": "Tutor", - "dialogue": "It shows us how something on the Y axis is changing, so distance is changing." - }, - { - "start": "41:12.68", - "stop": "41:19.00", - "speaker": "Tutor", - "dialogue": "and what's in the middle of the graph tells us how these two things are changing in relation to each other." - }, - { - "start": "41:21.16", - "stop": "41:21.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "41:21.40", - "stop": "41:23.24", - "speaker": "Tutor", - "dialogue": "Whenever you see graphs, think about this." - }, - { - "start": "41:23.80", - "stop": "41:24.76", - "speaker": "Tutor", - "dialogue": "What's increasing?" - }, - { - "start": "41:25.48", - "stop": "41:27.80", - "speaker": "Tutor", - "dialogue": "What's decreasing, What's staying" - }, - { - "start": "41:27.88", - "stop": "41:32.80", - "speaker": "Tutor", - "dialogue": "The same, And how are they changing to get cool?" - }, - { - "start": "41:33.56", - "stop": "41:34.36", - "speaker": "Student", - "dialogue": "Yeah, that's cool." - }, - { - "start": "41:35.04", - "stop": "41:41.36", - "speaker": "Tutor", - "dialogue": "All right, thank you so much for helping us out to-day and I hope you have a wonderful rest of your day." - }, - { - "start": "41:41.96", - "stop": "41:43.20", - "speaker": "Student", - "dialogue": "Okay, thank you, you two." - }, - { - "start": "41:43.40", - "stop": "41:43.72", - "speaker": "Student", - "dialogue": "All right?" - } -] \ No newline at end of file diff --git a/data/amber/6232022DPG.json b/data/amber/6232022DPG.json deleted file mode 100644 index 9ba43c0..0000000 --- a/data/amber/6232022DPG.json +++ /dev/null @@ -1,2474 +0,0 @@ -[ - { - "start": "00:00.84", - "stop": "00:09.16", - "speaker": "Tutor", - "dialogue": "Cool, I am Goninga, Turn the page and you tell me what you see and understand is happening on this page." - }, - { - "start": "00:10.80", - "stop": "00:19.56", - "speaker": "Student", - "dialogue": "Okay, Mm, it's showing a passage from." - }, - { - "start": "00:21.04", - "stop": "00:25.40", - "speaker": "Student", - "dialogue": "Well, what a car did to go from Providence to New Newark." - }, - { - "start": "00:26.16", - "stop": "00:27.52", - "speaker": "Tutor", - "dialogue": "Okay, what did the car do?" - }, - { - "start": "00:29.60", - "stop": "00:36.28", - "speaker": "Student", - "dialogue": "It took the I nin, ah, I, ninety five, Okay, and then yeah." - }, - { - "start": "00:36.64", - "stop": "00:37.20", - "speaker": "Tutor", - "dialogue": "No, go ahead." - }, - { - "start": "00:37.24", - "stop": "00:37.92", - "speaker": "Tutor", - "dialogue": "I interrupted you." - }, - { - "start": "00:38.08", - "stop": "00:38.48", - "speaker": "Tutor", - "dialogue": "I'm sorry." - }, - { - "start": "00:38.96", - "stop": "00:48.76", - "speaker": "Student", - "dialogue": "Oh it, it drove through I ninety five, and then they drove through New York City to the New Jersey Turnpike, and then they took that to Newark." - }, - { - "start": "00:49.52", - "stop": "00:53.44", - "speaker": "Tutor", - "dialogue": "Cool, what are some things that we could measure in this journey?" - }, - { - "start": "00:56.00", - "stop": "01:02.04", - "speaker": "Student", - "dialogue": "Uh, the like the line from Um." - }, - { - "start": "01:02.80", - "stop": "01:04.68", - "speaker": "Student", - "dialogue": "Newark to Providence." - }, - { - "start": "01:05.60", - "stop": "01:09.20", - "speaker": "Tutor", - "dialogue": "Okay, and if we were goning to measure that line, how would we measure it?" - }, - { - "start": "01:22.40", - "stop": "01:22.96", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "01:23.28", - "stop": "01:23.56", - "speaker": "Student", - "dialogue": "Really." - }, - { - "start": "01:24.52", - "stop": "01:25.32", - "speaker": "Student", - "dialogue": "maybe inches." - }, - { - "start": "01:25.84", - "stop": "01:26.12", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "01:26.52", - "stop": "01:28.16", - "speaker": "Tutor", - "dialogue": "So we can measure the line in inches." - }, - { - "start": "01:29.16", - "stop": "01:29.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "01:30.24", - "stop": "01:32.60", - "speaker": "Tutor", - "dialogue": "Anything else you think about that we could measure?" - }, - { - "start": "01:34.64", - "stop": "01:43.24", - "speaker": "Student", - "dialogue": "Um, maybe the miles from Newark to Province or provndence to Newark." - }, - { - "start": "01:44.36", - "stop": "01:46.32", - "speaker": "Tutor", - "dialogue": "And how would we measure the miles?" - }, - { - "start": "01:47.24", - "stop": "01:47.28", - "speaker": "Tutor", - "dialogue": "Like?" - }, - { - "start": "01:47.44", - "stop": "01:49.04", - "speaker": "Tutor", - "dialogue": "what would we be keeping track of there?" - }, - { - "start": "02:07.04", - "stop": "02:10.08", - "speaker": "Student", - "dialogue": "How many times they went to a new place like From Uh" - }, - { - "start": "02:10.28", - "stop": "02:11.64", - "speaker": "Student", - "dialogue": "ninety five to New York City?" - }, - { - "start": "02:12.28", - "stop": "02:18.20", - "speaker": "Tutor", - "dialogue": "Okay, so we can measure the miles or different times different places that we visit." - }, - { - "start": "02:20.16", - "stop": "02:20.88", - "speaker": "Student", - "dialogue": "Yesk." - }, - { - "start": "02:22.00", - "stop": "02:33.68", - "speaker": "Tutor", - "dialogue": "Now I'm going to uncover something, and when I uncover it, I want you to look at the map and the graph and describe and explain what is happening during each stage of the journey." - }, - { - "start": "02:38.76", - "stop": "02:51.76", - "speaker": "Student", - "dialogue": "A A would be W. wait, A would be provindence, and then they stay." - }, - { - "start": "02:52.04", - "stop": "02:53.56", - "speaker": "Student", - "dialogue": "They wait." - }, - { - "start": "02:53.68", - "stop": "02:54.32", - "speaker": "Student", - "dialogue": "The's miles." - }, - { - "start": "02:54.44", - "stop": "03:05.68", - "speaker": "Student", - "dialogue": "Okay, They drove fifty miles from Providence to the I ninety five, which is B, and then they stayed on that for." - }, - { - "start": "03:07.80", - "stop": "03:07.96", - "speaker": "Tutor", - "dialogue": "One." - }, - { - "start": "03:08.04", - "stop": "03:11.04", - "speaker": "Student", - "dialogue": "And a half, they stayed on the I. ninety five for one and a half hours." - }, - { - "start": "03:12.08", - "stop": "03:12.52", - "speaker": "Student", - "dialogue": "No wait." - }, - { - "start": "03:13.00", - "stop": "03:14.24", - "speaker": "Student", - "dialogue": "they stayed stationary." - }, - { - "start": "03:15.16", - "stop": "03:15.88", - "speaker": "Student", - "dialogue": "Wait, did they." - }, - { - "start": "03:17.20", - "stop": "03:17.72", - "speaker": "Student", - "dialogue": "they stayed?" - }, - { - "start": "03:18.00", - "stop": "03:19.88", - "speaker": "Student", - "dialogue": "They stayed on the nine, ninety five for an hour." - }, - { - "start": "03:21.00", - "stop": "03:49.92", - "speaker": "Student", - "dialogue": "We no for thirty minutes, and then they made it to New York City, and then they kept driving until they made it to D, which is the New Jersey Turnpike, and that took Um, fifty, two hundred fifty miles, And then once they made it to New Jersey Turnfike, they kept going." - }, - { - "start": "03:51.40", - "stop": "03:51.52", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "03:53.20", - "stop": "04:01.48", - "speaker": "Student", - "dialogue": "they kept going until they made wait, wait, Providence on ninety five, New York City." - }, - { - "start": "04:03.52", - "stop": "04:07.92", - "speaker": "Student", - "dialogue": "Unless okay, wait, it is Providence." - }, - { - "start": "04:08.32", - "stop": "04:27.60", - "speaker": "Student", - "dialogue": "And then they took that to the A. I. ninety five, and then they stayed stationary for thirty minutes and then they continued to to to D, which is New York City." - }, - { - "start": "04:28.64", - "stop": "04:30.40", - "speaker": "Student", - "dialogue": "And then they took that road." - }, - { - "start": "04:31.52", - "stop": "04:39.76", - "speaker": "Student", - "dialogue": "They kept going until they made it to E, which is the New Jersey Turnfike, and then they kept going after that to F, which is New Yark." - }, - { - "start": "04:41.36", - "stop": "04:44.32", - "speaker": "Tutor", - "dialogue": "So, first of all, it was really cool every time" - }, - { - "start": "04:44.32", - "stop": "04:46.12", - "speaker": "Tutor", - "dialogue": "you go like wait, wait, is it?" - }, - { - "start": "04:46.36", - "stop": "04:46.96", - "speaker": "Tutor", - "dialogue": "huh, Be caause." - }, - { - "start": "04:47.00", - "stop": "04:48.68", - "speaker": "Tutor", - "dialogue": "You were going deeper in your thinking" - }, - { - "start": "04:49.12", - "stop": "04:49.92", - "speaker": "Tutor", - "dialogue": "that was awesome." - }, - { - "start": "04:50.08", - "stop": "04:50.80", - "speaker": "Tutor", - "dialogue": "Continue to do that." - }, - { - "start": "04:50.96", - "stop": "04:54.68", - "speaker": "Tutor", - "dialogue": "Okay and I hear you trying to make sense of." - }, - { - "start": "04:55.28", - "stop": "04:56.88", - "speaker": "Tutor", - "dialogue": "There are some of these stops." - }, - { - "start": "04:57.68", - "stop": "05:00.32", - "speaker": "Tutor", - "dialogue": "these letters on the map somewhere" - }, - { - "start": "05:01.40", - "stop": "05:04.48", - "speaker": "Tutor", - "dialogue": "And you're you're thinking about where those letters would be on the map." - }, - { - "start": "05:04.92", - "stop": "05:05.52", - "speaker": "Tutor", - "dialogue": "Is that correct?" - }, - { - "start": "05:06.24", - "stop": "05:07.12", - "speaker": "Student", - "dialogue": "Yes, all right." - }, - { - "start": "05:07.48", - "stop": "05:09.40", - "speaker": "Tutor", - "dialogue": "And you said at I ninety five." - }, - { - "start": "05:09.56", - "stop": "05:11.96", - "speaker": "Tutor", - "dialogue": "One thing I want to clarify here is I ninety five." - }, - { - "start": "05:12.08", - "stop": "05:15.88", - "speaker": "Tutor", - "dialogue": "Is this entire route, not just that one spot?" - }, - { - "start": "05:17.88", - "stop": "05:18.16", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "05:18.80", - "stop": "05:23.80", - "speaker": "Tutor", - "dialogue": "Yes, okay, so you said that you thought that Providence was at point?" - }, - { - "start": "05:23.96", - "stop": "05:26.44", - "speaker": "Tutor", - "dialogue": "Eh, How come" - }, - { - "start": "05:26.88", - "stop": "05:31.16", - "speaker": "Tutor", - "dialogue": "it's Providence is at the top of the map, but it's at the bottom of the graph." - }, - { - "start": "05:34.52", - "stop": "05:37.28", - "speaker": "Student", - "dialogue": "Becau, That's where they started." - }, - { - "start": "05:37.88", - "stop": "05:39.92", - "speaker": "Tutor", - "dialogue": "How did you know that's where they started?" - }, - { - "start": "05:42.44", - "stop": "06:00.28", - "speaker": "Student", - "dialogue": "Wit, because it says, the map shows a car journey from Providence to Ne Newark, and the road shows that it's going downnd andaro." - }, - { - "start": "06:03.40", - "stop": "06:06.28", - "speaker": "Tutor", - "dialogue": "How come F isn't Providence?" - }, - { - "start": "06:06.80", - "stop": "06:11.92", - "speaker": "Tutor", - "dialogue": "So if I were thinking that F is up here because Providence is up here." - }, - { - "start": "06:13.08", - "stop": "06:14.76", - "speaker": "Tutor", - "dialogue": "Hm, it sounds like you disagree with that." - }, - { - "start": "06:15.84", - "stop": "06:17.24", - "speaker": "Tutor", - "dialogue": "Convince me that I'm wrong." - }, - { - "start": "06:18.88", - "stop": "06:37.00", - "speaker": "Student", - "dialogue": "Because if they started out Providence, they couldn't have traveled one hundred fifty miles from Providence to Providence, so then A would have to be Providence, since they had to travel from Providence to Newark, which would actually take some time in hours, A in miles." - }, - { - "start": "06:37.96", - "stop": "06:39.96", - "speaker": "Tutor", - "dialogue": "Ah, so what has happened at point F?" - }, - { - "start": "06:40.36", - "stop": "06:42.04", - "speaker": "Tutor", - "dialogue": "That's different than what's happened at point A." - }, - { - "start": "06:44.60", - "stop": "06:51.32", - "speaker": "Student", - "dialogue": "They travele to about one hundred fifty miles from Providence to Newark." - }, - { - "start": "06:52.36", - "stop": "06:53.08", - "speaker": "Tutor", - "dialogue": "Oky, So" - }, - { - "start": "06:53.36", - "stop": "06:54.96", - "speaker": "Tutor", - "dialogue": "where does the graph start?" - }, - { - "start": "06:55.40", - "stop": "06:56.56", - "speaker": "Tutor", - "dialogue": "Do you know what that is called?" - }, - { - "start": "06:57.84", - "stop": "06:58.76", - "speaker": "Student", - "dialogue": "The origin it." - }, - { - "start": "06:58.96", - "stop": "07:06.72", - "speaker": "Tutor", - "dialogue": "Is, and the origin is saying zero time has passed in zero distance, and in this situation it's province." - }, - { - "start": "07:06.88", - "stop": "07:07.96", - "speaker": "Tutor", - "dialogue": "So that's the other thing I'll do." - }, - { - "start": "07:08.16", - "stop": "07:09.32", - "speaker": "Tutor", - "dialogue": "I'll ask you questions." - }, - { - "start": "07:09.84", - "stop": "07:11.72", - "speaker": "Tutor", - "dialogue": "Just because I ask you a question doesn't mean" - }, - { - "start": "07:11.80", - "stop": "07:13.08", - "speaker": "Tutor", - "dialogue": "I think what you said is wrong." - }, - { - "start": "07:13.36", - "stop": "07:15.12", - "speaker": "Tutor", - "dialogue": "I want you to go deeper in your thinking." - }, - { - "start": "07:16.56", - "stop": "07:16.84", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "07:17.56", - "stop": "07:17.72", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "07:18.08", - "stop": "07:18.40", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "07:18.60", - "stop": "07:22.48", - "speaker": "Tutor", - "dialogue": "So now let's label that label where you see these points on the map." - }, - { - "start": "07:22.60", - "stop": "07:25.48", - "speaker": "Tutor", - "dialogue": "you talked about em, but now actually draw them." - }, - { - "start": "07:28.56", - "stop": "07:30.12", - "speaker": "Student", - "dialogue": "Draw the names." - }, - { - "start": "07:30.84", - "stop": "07:38.44", - "speaker": "Tutor", - "dialogue": "Yeah, so you said Providence is point a, So put label point A on the map at Providence." - }, - { - "start": "07:39.28", - "stop": "08:00.80", - "speaker": "Student", - "dialogue": "O, and thenift aight here." - }, - { - "start": "08:15.12", - "stop": "08:51.08", - "speaker": "Student", - "dialogue": "Um, okay, Okay, Okay, so we shall have to leave." - }, - { - "start": "09:03.04", - "stop": "09:05.52", - "speaker": "Tutor", - "dialogue": "Oky, so I?" - }, - { - "start": "09:07.56", - "stop": "09:07.68", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "09:07.80", - "stop": "09:09.32", - "speaker": "Tutor", - "dialogue": "See that point A is right here." - }, - { - "start": "09:11.00", - "stop": "09:13.40", - "speaker": "Tutor", - "dialogue": "Can you put the actual point on the map?" - }, - { - "start": "09:13.56", - "stop": "09:14.72", - "speaker": "Tutor", - "dialogue": "Now next to your labels." - }, - { - "start": "09:14.88", - "stop": "09:19.92", - "speaker": "Tutor", - "dialogue": "Where would the point be for point B, and point C, and so on." - }, - { - "start": "09:21.44", - "stop": "09:22.16", - "speaker": "Student", - "dialogue": "Like condition." - }, - { - "start": "09:23.12", - "stop": "09:32.76", - "speaker": "Tutor", - "dialogue": "Yeah, because I'm not sure where you are seeing B. Like is B over here or over here or over here?" - }, - { - "start": "09:33.52", - "stop": "09:37.36", - "speaker": "Tutor", - "dialogue": "Like where do you actually see the point?" - }, - { - "start": "09:37.92", - "stop": "09:38.84", - "speaker": "Tutor", - "dialogue": "Be on the map." - }, - { - "start": "10:16.76", - "stop": "10:19.08", - "speaker": "Student", - "dialogue": "Deep deep here." - }, - { - "start": "10:28.60", - "stop": "10:28.92", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "10:29.76", - "stop": "10:36.84", - "speaker": "Tutor", - "dialogue": "Okay, now, help help me understand how you knew where to put Point B, for example." - }, - { - "start": "10:39.24", - "stop": "10:39.40", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "10:39.44", - "stop": "10:40.56", - "speaker": "Tutor", - "dialogue": "Did you put it where you put it?" - }, - { - "start": "10:42.16", - "stop": "10:56.88", - "speaker": "Student", - "dialogue": "Um, well, I've ust kinda like went halfway from Providence to where it says Uh, ninety five, And then I just chose that as B." - }, - { - "start": "10:58.48", - "stop": "11:11.12", - "speaker": "Tutor", - "dialogue": "And then I notice that B en I use a litt of color here from A to B along the road, So if the car is driving along here, it's not a straight road." - }, - { - "start": "11:11.32", - "stop": "11:12.32", - "speaker": "Tutor", - "dialogue": "It's not a straight line." - }, - { - "start": "11:12.84", - "stop": "11:14.24", - "speaker": "Tutor", - "dialogue": "Do you agree or disagree with that?" - }, - { - "start": "11:15.20", - "stop": "11:16.20", - "speaker": "Student", - "dialogue": "Agree, okay?" - }, - { - "start": "11:16.48", - "stop": "11:20.48", - "speaker": "Tutor", - "dialogue": "Then how come on the graph from A to B?" - }, - { - "start": "11:21.04", - "stop": "11:21.96", - "speaker": "Tutor", - "dialogue": "It's a straight line." - }, - { - "start": "11:24.44", - "stop": "11:37.28", - "speaker": "Student", - "dialogue": "Because the never stopped, so the distant miles, even if it's not straight, they would have made the same amount of miles, so it doesn't like turn, because they didn't stop from A to B." - }, - { - "start": "11:39.28", - "stop": "11:40.28", - "speaker": "Tutor", - "dialogue": "They didn't stop now." - }, - { - "start": "11:40.32", - "stop": "11:42.44", - "speaker": "Tutor", - "dialogue": "I'm goinga put some words up here." - }, - { - "start": "11:56.24", - "stop": "11:56.56", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "11:56.96", - "stop": "11:58.76", - "speaker": "Tutor", - "dialogue": "So you started to talk about Miles?" - }, - { - "start": "12:00.64", - "stop": "12:00.68", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "12:00.76", - "stop": "12:02.16", - "speaker": "Tutor", - "dialogue": "You're talking about something." - }, - { - "start": "12:02.32", - "stop": "12:03.00", - "speaker": "Tutor", - "dialogue": "didn't stop." - }, - { - "start": "12:03.84", - "stop": "12:24.04", - "speaker": "Tutor", - "dialogue": "so in your explanation to me, use the words either miles or distance, time or hours, and increasing, decreasing or staying the same to justify why this line is straight even though this line is curvy." - }, - { - "start": "12:27.16", - "stop": "12:34.12", - "speaker": "Student", - "dialogue": "So from point A to B, the distance and time increased." - }, - { - "start": "12:37.96", - "stop": "12:38.64", - "speaker": "Student", - "dialogue": "Stay the same." - }, - { - "start": "12:42.12", - "stop": "12:42.16", - "speaker": "Student", - "dialogue": "what?" - }, - { - "start": "12:42.48", - "stop": "12:43.76", - "speaker": "Tutor", - "dialogue": "No, would you whisper" - }, - { - "start": "12:44.12", - "stop": "12:44.52", - "speaker": "Tutor", - "dialogue": "That was cool." - }, - { - "start": "12:44.56", - "stop": "12:45.28", - "speaker": "Tutor", - "dialogue": "Would you whisper?" - }, - { - "start": "12:45.76", - "stop": "12:47.28", - "speaker": "Student", - "dialogue": "I said did is stay the same." - }, - { - "start": "12:48.12", - "stop": "12:50.16", - "speaker": "Tutor", - "dialogue": "What's the it that you're thinking about when you?" - }, - { - "start": "12:50.76", - "stop": "12:55.20", - "speaker": "Student", - "dialogue": "Di, did the miles stay the same?" - }, - { - "start": "12:57.64", - "stop": "13:04.36", - "speaker": "Student", - "dialogue": "Okay, No, no, no, no, okay, A, from A to B. the distance and time increased" - }, - { - "start": "13:05.84", - "stop": "13:16.40", - "speaker": "Student", - "dialogue": "so it would be S. a straight line in Seat of like curving, because they stayed on a steady pace." - }, - { - "start": "13:17.20", - "stop": "13:23.88", - "speaker": "Tutor", - "dialogue": "Ah, so distance and time are increasing at a steady pace." - }, - { - "start": "13:25.80", - "stop": "13:26.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "13:26.80", - "stop": "13:36.00", - "speaker": "Tutor", - "dialogue": "So as distance is increasing, time is also increasing, and you're saying they're increasing at a steady pace?" - }, - { - "start": "13:38.08", - "stop": "13:38.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "13:38.56", - "stop": "13:38.72", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "13:39.08", - "stop": "13:39.12", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "13:39.44", - "stop": "13:41.16", - "speaker": "Tutor", - "dialogue": "Just making sure I understand what you're saying." - }, - { - "start": "13:42.80", - "stop": "13:42.84", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "13:43.04", - "stop": "13:50.20", - "speaker": "Tutor", - "dialogue": "You know a math word that describes what you just said in very cool thinking words." - }, - { - "start": "13:50.92", - "stop": "13:59.80", - "speaker": "Tutor", - "dialogue": "What does it mean when one thing is changing in relation to the other thing at the same pace?" - }, - { - "start": "14:02.12", - "stop": "14:03.48", - "speaker": "Student", - "dialogue": "A direct relationship." - }, - { - "start": "14:03.72", - "stop": "14:05.44", - "speaker": "Tutor", - "dialogue": "Yeah, there is a direct relationship." - }, - { - "start": "14:07.32", - "stop": "14:07.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "14:07.60", - "stop": "14:11.40", - "speaker": "Tutor", - "dialogue": "Is it a constant relationship or not constant?" - }, - { - "start": "14:16.56", - "stop": "14:19.28", - "speaker": "Student", - "dialogue": "From Ad, to be its Constan, Ah." - }, - { - "start": "14:19.76", - "stop": "14:22.36", - "speaker": "Tutor", - "dialogue": "You, your tone tells me you're not quite sure." - }, - { - "start": "14:23.24", - "stop": "14:24.52", - "speaker": "Student", - "dialogue": "No, yeah, cool." - }, - { - "start": "14:24.68", - "stop": "14:25.28", - "speaker": "Tutor", - "dialogue": "That's awesome." - }, - { - "start": "14:25.52", - "stop": "14:27.08", - "speaker": "Tutor", - "dialogue": "We're going to explore this tomorrow, okay?" - }, - { - "start": "14:27.84", - "stop": "14:28.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "14:29.16", - "stop": "14:30.04", - "speaker": "Tutor", - "dialogue": "We'll come back to it." - }, - { - "start": "14:31.48", - "stop": "14:41.20", - "speaker": "Tutor", - "dialogue": "I am curious about why you put C where you put C on the map, and again when you convince me why you put it where you did use" - }, - { - "start": "14:41.52", - "stop": "14:51.12", - "speaker": "Tutor", - "dialogue": "these words in your justification, distance, time or miles, hours, increasing, decreasing or staying the same." - }, - { - "start": "14:53.64", - "stop": "14:54.68", - "speaker": "Student", - "dialogue": "I can I change your." - }, - { - "start": "14:55.12", - "stop": "14:56.76", - "speaker": "Tutor", - "dialogue": "S. oh, that's a great question." - }, - { - "start": "14:56.88", - "stop": "14:59.24", - "speaker": "Tutor", - "dialogue": "Are you allowed to change your mind in math?" - }, - { - "start": "15:01.84", - "stop": "15:02.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "15:02.48", - "stop": "15:08.12", - "speaker": "Tutor", - "dialogue": "Absolutely yes, if you want to change and revise your thinking at any point, do it." - }, - { - "start": "15:14.96", - "stop": "15:19.80", - "speaker": "Student", - "dialogue": "If they stayed the same distance, then it should be the same place." - }, - { - "start": "15:21.80", - "stop": "15:25.32", - "speaker": "Student", - "dialogue": "So then be in sea." - }, - { - "start": "15:27.08", - "stop": "15:37.08", - "speaker": "Student", - "dialogue": "O. It wish the hours that changed of the distance, okay, aait ut to the point to the same place." - }, - { - "start": "15:39.68", - "stop": "15:45.44", - "speaker": "Tutor", - "dialogue": "It is so cool because you whisper out loud whenever you're thinking and it's amazing." - }, - { - "start": "15:46.04", - "stop": "15:46.88", - "speaker": "Tutor", - "dialogue": "Continue to do that." - }, - { - "start": "15:47.32", - "stop": "15:56.44", - "speaker": "Tutor", - "dialogue": "Will you say it loud for me now so that I can be sure that I heard what I thought I heard and why you changed your mind and put C where you put it?" - }, - { - "start": "16:00.24", - "stop": "16:00.40", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:08.64", - "stop": "16:17.76", - "speaker": "Tutor", - "dialogue": "So why a C right next to B, and use those words, distance or time, miles or hours, increasing, decreasing or staying the same." - }, - { - "start": "16:18.48", - "stop": "16:36.04", - "speaker": "Student", - "dialogue": "Oky, so from B to C, The the, the distance stays the same, but the hours increased." - }, - { - "start": "16:40.44", - "stop": "16:41.36", - "speaker": "Tutor", - "dialogue": "So what does that mean?" - }, - { - "start": "16:41.48", - "stop": "16:43.64", - "speaker": "Tutor", - "dialogue": "Why is that spot the exact same then?" - }, - { - "start": "16:45.08", - "stop": "16:48.36", - "speaker": "Student", - "dialogue": "That means that they were stationary for thirty minutes." - }, - { - "start": "16:49.36", - "stop": "16:58.16", - "speaker": "Tutor", - "dialogue": "The car didn't move at all for thirty minutes, but that variable of time still continued to increase cool stuff." - }, - { - "start": "16:58.52", - "stop": "16:59.64", - "speaker": "Tutor", - "dialogue": "All right now." - }, - { - "start": "16:59.88", - "stop": "17:02.68", - "speaker": "Tutor", - "dialogue": "See to D. Why did you?" - }, - { - "start": "17:04.68", - "stop": "17:04.96", - "speaker": "Student", - "dialogue": "Put." - }, - { - "start": "17:05.44", - "stop": "17:11.04", - "speaker": "Tutor", - "dialogue": "D, right here again, you know, use those power wordsk." - }, - { - "start": "17:12.56", - "stop": "17:27.68", - "speaker": "Student", - "dialogue": "So from Okay C to D, the miles increased by fifty, and the time increased by and about an hour." - }, - { - "start": "17:29.64", - "stop": "17:30.04", - "speaker": "Tutor", - "dialogue": "Oay." - }, - { - "start": "17:30.16", - "stop": "17:39.56", - "speaker": "Student", - "dialogue": "Fm, ya, and yeah, See the miles increased and the miles." - }, - { - "start": "17:40.64", - "stop": "17:40.80", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "17:45.72", - "stop": "17:51.72", - "speaker": "Student", - "dialogue": "as the miles increased, the time increased." - }, - { - "start": "17:53.84", - "stop": "17:55.44", - "speaker": "Tutor", - "dialogue": "Did they increase earlier?" - }, - { - "start": "17:55.52", - "stop": "17:56.80", - "speaker": "Tutor", - "dialogue": "You described it as a pace?" - }, - { - "start": "17:57.76", - "stop": "18:01.16", - "speaker": "Tutor", - "dialogue": "Talk to me more about how they increased in relation to each other." - }, - { - "start": "18:03.12", - "stop": "18:08.12", - "speaker": "Student", - "dialogue": "Okay, so oh no, it might be the other way." - }, - { - "start": "18:09.00", - "stop": "18:34.20", - "speaker": "Student", - "dialogue": "Okay, as the time as the time increased, the distance increased because as the hours went from an hour, thirty minutes to two hours, the well, two hours and thirty minutes, the distance went up because they were on a constant pace, direct relationship." - }, - { - "start": "18:34.92", - "stop": "18:37.72", - "speaker": "Tutor", - "dialogue": "What does that constant pace or direct relationship mean?" - }, - { - "start": "18:37.80", - "stop": "18:38.68", - "speaker": "Tutor", - "dialogue": "What are you sayin with that?" - }, - { - "start": "18:41.52", - "stop": "18:45.76", - "speaker": "Student", - "dialogue": "It means the didn't go faster or slow down." - }, - { - "start": "18:46.12", - "stop": "18:48.76", - "speaker": "Student", - "dialogue": "They stayed at the same speed." - }, - { - "start": "18:55.96", - "stop": "18:59.96", - "speaker": "Student", - "dialogue": "distance distance travelled per hour." - }, - { - "start": "19:01.36", - "stop": "19:06.32", - "speaker": "Tutor", - "dialogue": "So the amount of distance travelled per hour was constant." - }, - { - "start": "19:07.32", - "stop": "19:09.28", - "speaker": "Tutor", - "dialogue": "We can call that a constant rate." - }, - { - "start": "19:10.64", - "stop": "19:19.44", - "speaker": "Tutor", - "dialogue": "And in this situation you used the word that describes the relationship between miles and hours, and that is speed." - }, - { - "start": "19:20.84", - "stop": "19:26.48", - "speaker": "Tutor", - "dialogue": "So from C to D, you are saying the car travelld at a constant rate." - }, - { - "start": "19:27.32", - "stop": "19:33.96", - "speaker": "Tutor", - "dialogue": "Another way to say that is the car travel at the same speed from C to D." - }, - { - "start": "19:36.28", - "stop": "19:36.68", - "speaker": "Student", - "dialogue": "Cools." - }, - { - "start": "19:37.04", - "stop": "19:37.80", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "19:38.44", - "stop": "19:39.32", - "speaker": "Student", - "dialogue": "Yes, Ok?" - }, - { - "start": "19:40.08", - "stop": "19:43.40", - "speaker": "Tutor", - "dialogue": "Now, D to e, something's different here." - }, - { - "start": "19:43.84", - "stop": "19:44.52", - "speaker": "Tutor", - "dialogue": "What's different?" - }, - { - "start": "19:47.36", - "stop": "19:58.44", - "speaker": "Student", - "dialogue": "The well, the mile, the distance in the time increased, but thepeed changed." - }, - { - "start": "19:59.88", - "stop": "19:59.92", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "20:00.00", - "stop": "20:04.84", - "speaker": "Student", - "dialogue": "Wasn't contant, It wasn't constant." - }, - { - "start": "20:05.12", - "stop": "20:08.04", - "speaker": "Tutor", - "dialogue": "How do you know the speed was not constant from D to E?" - }, - { - "start": "20:08.92", - "stop": "20:16.28", - "speaker": "Student", - "dialogue": "Because if it was, if it was the same, it would be Um." - }, - { - "start": "20:16.60", - "stop": "20:24.00", - "speaker": "Student", - "dialogue": "it would be a straight line instead of like a squaggy line, which means ity went faster or this slowed down." - }, - { - "start": "20:25.40", - "stop": "20:28.64", - "speaker": "Tutor", - "dialogue": "Ah, so from D to e, it's not a constant rate of change." - }, - { - "start": "20:30.24", - "stop": "20:30.28", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "20:30.64", - "stop": "20:35.44", - "speaker": "Tutor", - "dialogue": "Varies, and you're recognizing that means that the car speed is changing." - }, - { - "start": "20:35.76", - "stop": "20:41.60", - "speaker": "Tutor", - "dialogue": "It's increasing or decreasing, increasing or decreasing, but it's not staying constant." - }, - { - "start": "20:42.12", - "stop": "20:45.76", - "speaker": "Tutor", - "dialogue": "And then you said something about a straight line can help you tell that onograph." - }, - { - "start": "20:46.44", - "stop": "20:53.00", - "speaker": "Tutor", - "dialogue": "Do you mean a straight line like B to C, or a straight line like A to B, or both?" - }, - { - "start": "20:53.28", - "stop": "20:57.92", - "speaker": "Tutor", - "dialogue": "What do you mean straight line in relationship to constant?" - }, - { - "start": "20:59.44", - "stop": "21:11.32", - "speaker": "Student", - "dialogue": "A straight line from Aight to B, because from A to B, it shows that the distance is increasing and the time is increasing, but the car stayed at the same speed at a constant rate." - }, - { - "start": "21:11.80", - "stop": "21:21.88", - "speaker": "Student", - "dialogue": "But it's not a straight line from D to E, because the speed either increased or decreased while the miles and time were increasing." - }, - { - "start": "21:23.00", - "stop": "21:26.12", - "speaker": "Tutor", - "dialogue": "What about from B to C?" - }, - { - "start": "21:26.80", - "stop": "21:30.04", - "speaker": "Tutor", - "dialogue": "Do you think this is a constant rate of change or not constant?" - }, - { - "start": "21:36.32", - "stop": "21:42.96", - "speaker": "Student", - "dialogue": "Not constant because the distance didn't change as the hours as the time increased." - }, - { - "start": "21:43.56", - "stop": "21:46.36", - "speaker": "Tutor", - "dialogue": "Did the speed change at all from B to C?" - }, - { - "start": "21:48.00", - "stop": "21:49.96", - "speaker": "Student", - "dialogue": "No, the cardin move." - }, - { - "start": "21:50.28", - "stop": "21:54.92", - "speaker": "Tutor", - "dialogue": "It didn't move, So is the speed varying or is it staying constant?" - }, - { - "start": "21:56.28", - "stop": "21:57.16", - "speaker": "Student", - "dialogue": "Staying constant." - }, - { - "start": "22:00.16", - "stop": "22:03.12", - "speaker": "Tutor", - "dialogue": "Interesting, K, Dda, E, you say is not constant." - }, - { - "start": "22:03.24", - "stop": "22:04.24", - "speaker": "Tutor", - "dialogue": "The speed is going to vary." - }, - { - "start": "22:04.32", - "stop": "22:05.12", - "speaker": "Tutor", - "dialogue": "What about Eda F?" - }, - { - "start": "22:07.56", - "stop": "22:08.28", - "speaker": "Student", - "dialogue": "It's constant." - }, - { - "start": "22:08.48", - "stop": "22:11.00", - "speaker": "Student", - "dialogue": "as the distance increases, the time increases." - }, - { - "start": "22:12.28", - "stop": "22:15.32", - "speaker": "Tutor", - "dialogue": "Nice words, Nice using those altogether, Always do that." - }, - { - "start": "22:15.40", - "stop": "22:20.72", - "speaker": "Tutor", - "dialogue": "when you're working with graphs, this axis tells us how one thing is changing." - }, - { - "start": "22:21.80", - "stop": "22:26.52", - "speaker": "Tutor", - "dialogue": "This axis tells us how another thing is changing what's going on in the middle." - }, - { - "start": "22:26.68", - "stop": "22:38.32", - "speaker": "Tutor", - "dialogue": "tells us how they are changing in relation to each other, and these are the words that can help you think about describing how those two things are changing in relation to each other." - }, - { - "start": "22:40.64", - "stop": "22:40.80", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "22:41.04", - "stop": "22:41.80", - "speaker": "Tutor", - "dialogue": "Do that make sense?" - }, - { - "start": "22:42.48", - "stop": "22:43.12", - "speaker": "Student", - "dialogue": "Yes, Ok?" - }, - { - "start": "22:43.64", - "stop": "22:46.60", - "speaker": "Tutor", - "dialogue": "So now we're going to go a little bit deeper." - }, - { - "start": "22:48.52", - "stop": "22:48.76", - "speaker": "Student", - "dialogue": "You've?" - }, - { - "start": "22:48.92", - "stop": "22:51.32", - "speaker": "Tutor", - "dialogue": "Started thinking about this and that was really cool." - }, - { - "start": "22:51.64", - "stop": "22:55.80", - "speaker": "Tutor", - "dialogue": "You're starting to make sense of speed and what's happening in this graph." - }, - { - "start": "22:59.80", - "stop": "22:59.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "23:00.04", - "stop": "23:19.60", - "speaker": "Tutor", - "dialogue": "Now I'd like you to think about what would a new graph look like if we were going to grap the speed of the car in relationship to itnight, Like from B to C, you have said the car stayed stationary for thirty minutes, So what would its speed be?" - }, - { - "start": "23:23.52", - "stop": "23:26.48", - "speaker": "Student", - "dialogue": "The shing own there." - }, - { - "start": "23:26.52", - "stop": "23:28.96", - "speaker": "Student", - "dialogue": "Would it would stay the same." - }, - { - "start": "23:29.08", - "stop": "23:30.08", - "speaker": "Student", - "dialogue": "The car is inactive." - }, - { - "start": "23:30.36", - "stop": "23:34.20", - "speaker": "Tutor", - "dialogue": "Correct, and if I asked you, how fast is the car going from B to C?" - }, - { - "start": "23:36.20", - "stop": "23:36.56", - "speaker": "Student", - "dialogue": "Uhh." - }, - { - "start": "23:37.00", - "stop": "23:37.20", - "speaker": "Tutor", - "dialogue": "Zero." - }, - { - "start": "23:37.32", - "stop": "23:38.04", - "speaker": "Student", - "dialogue": "Miles per hour." - }, - { - "start": "23:38.64", - "stop": "23:40.08", - "speaker": "Tutor", - "dialogue": "Your icon just disappeared." - }, - { - "start": "23:41.00", - "stop": "23:41.80", - "speaker": "Tutor", - "dialogue": "I thought you left." - }, - { - "start": "23:41.84", - "stop": "23:42.32", - "speaker": "Tutor", - "dialogue": "You're still here." - }, - { - "start": "23:42.40", - "stop": "23:44.64", - "speaker": "Tutor", - "dialogue": "Let me, will you move your um mouse real quick?" - }, - { - "start": "23:48.36", - "stop": "23:48.96", - "speaker": "Student", - "dialogue": "Can you see it?" - }, - { - "start": "23:49.20", - "stop": "23:49.76", - "speaker": "Tutor", - "dialogue": "I cannot." - }, - { - "start": "23:52.04", - "stop": "23:57.72", - "speaker": "Student", - "dialogue": "Oh, should I leave and join Bark?" - }, - { - "start": "23:58.04", - "stop": "23:58.12", - "speaker": "Student", - "dialogue": "Um?" - }, - { - "start": "23:58.60", - "stop": "23:58.92", - "speaker": "Tutor", - "dialogue": "Try this." - }, - { - "start": "23:59.20", - "stop": "23:59.36", - "speaker": "Tutor", - "dialogue": "Try" - }, - { - "start": "23:59.44", - "stop": "24:00.96", - "speaker": "Tutor", - "dialogue": "to. Oh, Now you're back on." - }, - { - "start": "24:01.60", - "stop": "24:02.72", - "speaker": "Tutor", - "dialogue": "Did you do something different?" - }, - { - "start": "24:03.52", - "stop": "24:07.32", - "speaker": "Student", - "dialogue": "No, the sken the screen turned turn blank interesting." - }, - { - "start": "24:07.64", - "stop": "24:10.80", - "speaker": "Tutor", - "dialogue": "Okay, that's good for us to know and that was at thirty seven." - }, - { - "start": "24:12.48", - "stop": "24:14.32", - "speaker": "Tutor", - "dialogue": "All right, I'll let the tech team know that, too." - }, - { - "start": "24:14.76", - "stop": "24:31.24", - "speaker": "Tutor", - "dialogue": "Um, so yeah, you have said it would be zero miles per hour because the car is stationary and it did that for thirty minutes, so I want you to think about the entire journey now and sketch a graph of what you think it would look like if we're sketching the relationship between speed and time." - }, - { - "start": "24:32.76", - "stop": "24:35.16", - "speaker": "Student", - "dialogue": "Are you still showing the graph discreetly?" - }, - { - "start": "24:35.48", - "stop": "24:36.32", - "speaker": "Student", - "dialogue": "The paper's white." - }, - { - "start": "24:36.92", - "stop": "24:40.48", - "speaker": "Tutor", - "dialogue": "Oh, yep, let's try this." - }, - { - "start": "24:48.56", - "stop": "24:48.80", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "24:51.00", - "stop": "24:51.12", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "24:51.16", - "stop": "24:51.20", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "24:51.40", - "stop": "24:51.84", - "speaker": "Tutor", - "dialogue": "Kidding me?" - }, - { - "start": "24:55.20", - "stop": "24:55.24", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "24:55.44", - "stop": "24:56.00", - "speaker": "Tutor", - "dialogue": "Disappeared." - }, - { - "start": "24:58.80", - "stop": "24:58.92", - "speaker": "Student", - "dialogue": "Let." - }, - { - "start": "24:59.00", - "stop": "25:01.84", - "speaker": "Tutor", - "dialogue": "Me, see if anybody can hop on our call right now, okay?" - }, - { - "start": "25:02.76", - "stop": "25:03.08", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "25:03.68", - "stop": "25:06.12", - "speaker": "Tutor", - "dialogue": "Cause you're at such a cool part of learning right now." - }, - { - "start": "25:17.32", - "stop": "25:17.56", - "speaker": "Student", - "dialogue": "Hang." - }, - { - "start": "25:17.64", - "stop": "25:17.88", - "speaker": "Tutor", - "dialogue": "Tie." - }, - { - "start": "25:18.00", - "stop": "25:19.56", - "speaker": "Tutor", - "dialogue": "let me send them a message real quick." - }, - { - "start": "26:31.08", - "stop": "26:32.92", - "speaker": "Tutor", - "dialogue": "Okay, They just tagged." - }, - { - "start": "26:33.08", - "stop": "26:39.16", - "speaker": "Tutor", - "dialogue": "I. T. Did you know you're getting to help us learn how this plasm is working" - }, - { - "start": "26:39.24", - "stop": "26:40.28", - "speaker": "Tutor", - "dialogue": "For more students, too." - }, - { - "start": "26:41.68", - "stop": "26:42.40", - "speaker": "Student", - "dialogue": "Y, yeah." - }, - { - "start": "26:43.68", - "stop": "26:46.28", - "speaker": "Tutor", - "dialogue": "So thank you for helping us on multiple levels." - }, - { - "start": "26:46.64", - "stop": "27:01.44", - "speaker": "Tutor", - "dialogue": "Something interesting just happened with the tech that's been happening, so I wanted them to see it live if they can, and also I don't want you to log out and log back in, because I don't know if that means you're going to lose your work and you were at a really cool spot of making sense of this next graph." - }, - { - "start": "27:03.68", - "stop": "27:03.72", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "27:03.96", - "stop": "27:05.08", - "speaker": "Tutor", - "dialogue": "Thank you for being patient." - }, - { - "start": "27:21.20", - "stop": "27:21.72", - "speaker": "Student", - "dialogue": "Somebody's" - }, - { - "start": "27:21.80", - "stop": "27:21.96", - "speaker": "Tutor", - "dialogue": "Here." - }, - { - "start": "27:23.88", - "stop": "27:24.52", - "speaker": "Student", - "dialogue": "Hey, g, how A?" - }, - { - "start": "27:24.60", - "stop": "27:26.12", - "speaker": "Tutor", - "dialogue": "You doing thans forp on?" - }, - { - "start": "27:26.80", - "stop": "27:26.84", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "27:27.24", - "stop": "27:27.84", - "speaker": "Student", - "dialogue": "Let me see." - }, - { - "start": "27:28.00", - "stop": "27:31.44", - "speaker": "Student", - "dialogue": "I'm going to try adding myself as a teacher and see if I can." - }, - { - "start": "27:31.48", - "stop": "27:32.56", - "speaker": "Tutor", - "dialogue": "See your controls, too." - }, - { - "start": "27:39.36", - "stop": "27:39.40", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "27:39.52", - "stop": "27:41.36", - "speaker": "Tutor", - "dialogue": "You understand what I'm describing happens." - }, - { - "start": "27:43.00", - "stop": "27:47.32", - "speaker": "Student", - "dialogue": "I think so what I'm seeing right now is like a tiny white rectangle in the middle of the board." - }, - { - "start": "27:47.48", - "stop": "27:48.28", - "speaker": "Student", - "dialogue": "Is that what you were seying?" - }, - { - "start": "27:48.52", - "stop": "27:48.56", - "speaker": "Student", - "dialogue": "I?" - }, - { - "start": "27:48.76", - "stop": "27:53.36", - "speaker": "Tutor", - "dialogue": "Still see the the big white screen, but it's just locked like I can't." - }, - { - "start": "27:53.56", - "stop": "27:55.56", - "speaker": "Tutor", - "dialogue": "When I try to hit the arrows before and back." - }, - { - "start": "27:55.64", - "stop": "27:57.64", - "speaker": "Tutor", - "dialogue": "it's given me the circle with a line through it." - }, - { - "start": "27:58.08", - "stop": "27:59.44", - "speaker": "Tutor", - "dialogue": "They're like what, Shut off?" - }, - { - "start": "27:59.56", - "stop": "28:06.52", - "speaker": "Tutor", - "dialogue": "I can't do it, and this happens sometimes when it times out like if we're not using it, but we were actively riding on it and then it just shut down." - }, - { - "start": "28:08.28", - "stop": "28:12.64", - "speaker": "Student", - "dialogue": "I see, okay, um, okay, I just gave myself teacher permission." - }, - { - "start": "28:12.76", - "stop": "28:13.20", - "speaker": "Student", - "dialogue": "Let me try." - }, - { - "start": "28:13.44", - "stop": "28:14.48", - "speaker": "Tutor", - "dialogue": "Rejoining." - }, - { - "start": "28:14.56", - "stop": "28:34.80", - "speaker": "Student", - "dialogue": "And eight?" - }, - { - "start": "28:49.64", - "stop": "28:50.28", - "speaker": "Student", - "dialogue": "Um, I'm gonna." - }, - { - "start": "28:50.32", - "stop": "28:50.92", - "speaker": "Tutor", - "dialogue": "Try up putting." - }, - { - "start": "28:50.96", - "stop": "28:54.44", - "speaker": "Student", - "dialogue": "Another ped F and see if that does anything." - }, - { - "start": "29:25.88", - "stop": "29:25.92", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "29:26.16", - "stop": "29:26.32", - "speaker": "Student", - "dialogue": "That's" - }, - { - "start": "29:26.40", - "stop": "29:27.16", - "speaker": "Tutor", - "dialogue": "One of the old Pd." - }, - { - "start": "29:27.28", - "stop": "29:27.52", - "speaker": "Tutor", - "dialogue": "Fs." - }, - { - "start": "29:28.96", - "stop": "29:29.00", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "29:29.28", - "stop": "29:29.88", - "speaker": "Tutor", - "dialogue": "They showed." - }, - { - "start": "29:33.44", - "stop": "29:34.32", - "speaker": "Student", - "dialogue": "So, are you?" - }, - { - "start": "29:34.48", - "stop": "29:35.00", - "speaker": "Tutor", - "dialogue": "Using a different." - }, - { - "start": "29:35.12", - "stop": "29:35.80", - "speaker": "Student", - "dialogue": "Version of this now?" - }, - { - "start": "29:36.00", - "stop": "29:37.12", - "speaker": "Student", - "dialogue": "Yeah, what's" - }, - { - "start": "29:38.28", - "stop": "29:39.72", - "speaker": "Tutor", - "dialogue": "Do you want me to try to upload it?" - }, - { - "start": "29:41.64", - "stop": "29:42.36", - "speaker": "Student", - "dialogue": "Yeah, let me see." - }, - { - "start": "29:42.48", - "stop": "29:44.32", - "speaker": "Student", - "dialogue": "I'll give you back presenter permissions." - }, - { - "start": "29:45.28", - "stop": "29:45.40", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "29:49.24", - "stop": "29:50.28", - "speaker": "Student", - "dialogue": "Think I've got the older." - }, - { - "start": "29:50.32", - "stop": "29:51.00", - "speaker": "Tutor", - "dialogue": "Pediaphon." - }, - { - "start": "29:51.32", - "stop": "29:55.36", - "speaker": "Student", - "dialogue": "On page three and page four, if you try to re-upload that the current." - }, - { - "start": "29:55.48", - "stop": "29:56.84", - "speaker": "Tutor", - "dialogue": "Version that you have it might default." - }, - { - "start": "29:57.00", - "stop": "29:58.44", - "speaker": "Student", - "dialogue": "To page five." - }, - { - "start": "30:02.80", - "stop": "30:07.72", - "speaker": "Tutor", - "dialogue": "But everything that we have written on it so far, there's no way of going back to that." - }, - { - "start": "30:10.48", - "stop": "30:14.72", - "speaker": "Student", - "dialogue": "See, see about this version, and then what happens if we?" - }, - { - "start": "30:14.92", - "stop": "30:15.40", - "speaker": "Tutor", - "dialogue": "Moved back." - }, - { - "start": "30:15.60", - "stop": "30:15.64", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "30:17.12", - "stop": "30:19.84", - "speaker": "Tutor", - "dialogue": "It would have been on page two was where it had it uploaded." - }, - { - "start": "30:21.00", - "stop": "30:23.12", - "speaker": "Student", - "dialogue": "On page two has it frozen Um." - }, - { - "start": "30:31.44", - "stop": "30:33.12", - "speaker": "Tutor", - "dialogue": "Me go to page two or page onew." - }, - { - "start": "30:48.20", - "stop": "30:53.96", - "speaker": "Student", - "dialogue": "Gotcha okay, let me try taking a video of this and then I'll send it directly to Zach, and then I'll see if there's something" - }, - { - "start": "30:54.00", - "stop": "30:56.32", - "speaker": "Student", - "dialogue": "he can do on the back end to recover what was on slide, too." - }, - { - "start": "30:58.08", - "stop": "30:59.32", - "speaker": "Tutor", - "dialogue": "Right now, shuld we end the." - }, - { - "start": "31:03.12", - "stop": "31:08.12", - "speaker": "Student", - "dialogue": "Um, I would stay on for now to see if there's a quick solution, and I'll get Zack to let you know." - }, - { - "start": "31:22.92", - "stop": "31:23.96", - "speaker": "Tutor", - "dialogue": "Devon, are you still there?" - }, - { - "start": "31:25.20", - "stop": "31:26.16", - "speaker": "Student", - "dialogue": "Yes, sorry." - }, - { - "start": "31:26.68", - "stop": "31:27.32", - "speaker": "Tutor", - "dialogue": "No, you're good." - }, - { - "start": "31:27.56", - "stop": "31:28.64", - "speaker": "Tutor", - "dialogue": "Thank you for being patient." - }, - { - "start": "31:28.92", - "stop": "31:30.48", - "speaker": "Tutor", - "dialogue": "I can't go to any of the pages now." - }, - { - "start": "31:30.56", - "stop": "31:33.56", - "speaker": "Tutor", - "dialogue": "Are you able to click on any of the pages at the back?" - }, - { - "start": "31:35.28", - "stop": "31:37.20", - "speaker": "Student", - "dialogue": "No, it has the block dot." - }, - { - "start": "31:37.84", - "stop": "31:39.16", - "speaker": "Tutor", - "dialogue": "Yeah, is that what that's called?" - }, - { - "start": "31:39.40", - "stop": "31:41.24", - "speaker": "Tutor", - "dialogue": "I just caed it a circle with a line through it." - }, - { - "start": "31:44.84", - "stop": "31:46.48", - "speaker": "Student", - "dialogue": "I'm just going to upload one more Pd." - }, - { - "start": "31:46.72", - "stop": "32:00.76", - "speaker": "Student", - "dialogue": "F, just to show Um in the video as an example, cause it looks like when I upload a new Pdf, I'm able to a block eye kind disappears." - }, - { - "start": "32:00.76", - "stop": "32:01.28", - "speaker": "Tutor", - "dialogue": "So when I click?" - }, - { - "start": "32:01.36", - "stop": "32:11.24", - "speaker": "Student", - "dialogue": "This, se, how strange what's going on is when you upload a new Pdf, then you're able to navigate between." - }, - { - "start": "32:11.28", - "stop": "32:11.76", - "speaker": "Tutor", - "dialogue": "The pages." - }, - { - "start": "32:12.88", - "stop": "32:14.96", - "speaker": "Student", - "dialogue": "But then, if you scrol back to page two, it looks." - }, - { - "start": "32:15.00", - "stop": "32:15.64", - "speaker": "Tutor", - "dialogue": "Like it's kind of." - }, - { - "start": "32:16.44", - "stop": "32:16.80", - "speaker": "Student", - "dialogue": "Walking." - }, - { - "start": "32:19.08", - "stop": "32:22.04", - "speaker": "Tutor", - "dialogue": "What's interesting is is the first time it's happened mid session." - }, - { - "start": "32:22.68", - "stop": "32:26.92", - "speaker": "Tutor", - "dialogue": "Usually it happens before a session starts, and I thought it was just because I a sit in idle too long." - }, - { - "start": "32:28.68", - "stop": "32:28.72", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "32:28.96", - "stop": "32:30.08", - "speaker": "Tutor", - "dialogue": "This was not idle at all." - }, - { - "start": "32:30.12", - "stop": "32:30.92", - "speaker": "Tutor", - "dialogue": "It was very active." - }, - { - "start": "33:36.00", - "stop": "33:36.24", - "speaker": "Tutor", - "dialogue": "James." - }, - { - "start": "33:36.28", - "stop": "33:36.52", - "speaker": "Tutor", - "dialogue": "Shall" - }, - { - "start": "33:36.52", - "stop": "33:37.64", - "speaker": "Tutor", - "dialogue": "we have Devin lock out?" - }, - { - "start": "33:43.52", - "stop": "33:43.64", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "33:44.40", - "stop": "33:48.72", - "speaker": "Tutor", - "dialogue": "I'm only asking because the session was going to end in about five minutes anyways, because I have another one." - }, - { - "start": "33:49.64", - "stop": "33:50.64", - "speaker": "Tutor", - "dialogue": "Oh, I see, I see." - }, - { - "start": "33:51.52", - "stop": "33:57.72", - "speaker": "Student", - "dialogue": "Um, yeah, if there's a repair that's required, I would imagine it would take a little bit longer than five minutes, Um?" - }, - { - "start": "33:59.52", - "stop": "33:59.56", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "33:59.68", - "stop": "34:00.92", - "speaker": "Student", - "dialogue": "If you want to wrap up, that's fine." - }, - { - "start": "34:01.00", - "stop": "34:02.40", - "speaker": "Student", - "dialogue": "If you want to reschedule, that's okay." - }, - { - "start": "34:03.00", - "stop": "34:10.32", - "speaker": "Tutor", - "dialogue": "Ok, I'm not sure what that looks like, Devon, but I will contact the person who does the rescheduling and then she can communicate with you accordingly." - }, - { - "start": "34:10.44", - "stop": "34:14.68", - "speaker": "Tutor", - "dialogue": "Okay, Okay, thank you so much for your patience and it was pretty cool" - }, - { - "start": "34:14.76", - "stop": "34:17.92", - "speaker": "Tutor", - "dialogue": "you were doing some awesome thinkings and no matter what happens, continue with that, okay?" - }, - { - "start": "34:19.52", - "stop": "34:19.56", - "speaker": "Student", - "dialogue": "Have?" - }, - { - "start": "34:19.64", - "stop": "34:21.68", - "speaker": "Tutor", - "dialogue": "A good afternoonye." - }, - { - "start": "36:22.24", - "stop": "36:24.04", - "speaker": "Student", - "dialogue": "Okay, Embery, I sent that video to Zack." - }, - { - "start": "36:24.36", - "stop": "36:28.84", - "speaker": "Student", - "dialogue": "The explanation I gave is basically the page that you and the student were actively working on froze." - }, - { - "start": "36:29.20", - "stop": "36:29.52", - "speaker": "Tutor", - "dialogue": "Basically." - }, - { - "start": "36:29.60", - "stop": "36:30.08", - "speaker": "Student", - "dialogue": "While you guys." - }, - { - "start": "36:30.12", - "stop": "36:30.76", - "speaker": "Tutor", - "dialogue": "Were writing on it?" - }, - { - "start": "36:31.44", - "stop": "36:32.28", - "speaker": "Tutor", - "dialogue": "Ah, and the buttons." - }, - { - "start": "36:32.32", - "stop": "36:34.52", - "speaker": "Student", - "dialogue": "To switch, the pages became blocked out and you were unable to." - }, - { - "start": "36:34.56", - "stop": "36:36.72", - "speaker": "Tutor", - "dialogue": "Navigate that, um, and then it looked like." - }, - { - "start": "36:36.76", - "stop": "36:39.92", - "speaker": "Student", - "dialogue": "If you uploaded a new pedia F, that allowed you to switch pages, but you would." - }, - { - "start": "36:40.44", - "stop": "36:42.44", - "speaker": "Student", - "dialogue": "If you scrolled back to page two, it froze again." - }, - { - "start": "36:43.44", - "stop": "36:46.36", - "speaker": "Student", - "dialogue": "Um, we want to see if there's a way to E revercover the student progress there." - }, - { - "start": "36:47.28", - "stop": "36:47.56", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "36:49.36", - "stop": "36:49.40", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "36:49.56", - "stop": "36:52.44", - "speaker": "Tutor", - "dialogue": "Then I have another one that starts in fifteen minutes." - }, - { - "start": "36:52.96", - "stop": "36:55.12", - "speaker": "Tutor", - "dialogue": "Should I continue on with it or do" - }, - { - "start": "36:55.24", - "stop": "36:56.56", - "speaker": "Tutor", - "dialogue": "we wait until this gets fixed?" - }, - { - "start": "36:58.92", - "stop": "37:04.00", - "speaker": "Student", - "dialogue": "I would say give that one a try, 'cause I'm not sure if it's going to affect it in that specific session." - }, - { - "start": "37:04.88", - "stop": "37:05.04", - "speaker": "Student", - "dialogue": "Um?" - }, - { - "start": "37:07.88", - "stop": "37:07.96", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "37:08.04", - "stop": "37:08.28", - "speaker": "Student", - "dialogue": "It does." - }, - { - "start": "37:08.36", - "stop": "37:08.92", - "speaker": "Tutor", - "dialogue": "Begin to happen." - }, - { - "start": "37:09.04", - "stop": "37:12.24", - "speaker": "Student", - "dialogue": "Let me know thoughright." - }, - { - "start": "37:12.32", - "stop": "37:14.24", - "speaker": "Tutor", - "dialogue": "Thank you for hopping on so quickly, Yeah." - }, - { - "start": "37:14.52", - "stop": "37:14.92", - "speaker": "Student", - "dialogue": "For sure?" - }, - { - "start": "37:15.52", - "stop": "37:16.40", - "speaker": "Tutor", - "dialogue": "Have a good afternoon." - } -] \ No newline at end of file diff --git a/data/amber/6242022JZ.json b/data/amber/6242022JZ.json deleted file mode 100644 index 24d4fd0..0000000 --- a/data/amber/6242022JZ.json +++ /dev/null @@ -1,2300 +0,0 @@ -[ - { - "start": "00:00.80", - "stop": "00:13.16", - "speaker": "Student", - "dialogue": "Okay, we are recording now, so I'm gonna go to this page and take a second to read, and and look at the screen and then tell me what you think is happening in this situation." - }, - { - "start": "00:33.24", - "stop": "00:35.84", - "speaker": "Tutor", - "dialogue": "Ah, is there supposed to be a question or?" - }, - { - "start": "00:36.40", - "stop": "00:40.72", - "speaker": "Student", - "dialogue": "I just want you to tell me what you think is going on in this situation." - }, - { - "start": "00:43.00", - "stop": "00:47.36", - "speaker": "Tutor", - "dialogue": "Uh, probably gonna be like a distance question." - }, - { - "start": "00:49.08", - "stop": "00:49.60", - "speaker": "Student", - "dialogue": "Tell me more." - }, - { - "start": "00:49.68", - "stop": "00:50.12", - "speaker": "Student", - "dialogue": "What do you mean?" - }, - { - "start": "00:50.16", - "stop": "00:51.28", - "speaker": "Student", - "dialogue": "Bboyt a distance question." - }, - { - "start": "00:52.28", - "stop": "01:06.00", - "speaker": "Tutor", - "dialogue": "Er, I would say like um, could be like calculating the uher like a a distance, uh rate time question from like uh, each uh city." - }, - { - "start": "01:07.28", - "stop": "01:13.44", - "speaker": "Student", - "dialogue": "Okay, so sounds like you're thinking about some things you might be able to measure in this situation." - }, - { - "start": "01:14.24", - "stop": "01:14.28", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "01:14.84", - "stop": "01:18.64", - "speaker": "Student", - "dialogue": "Okay, so you said you could measure distance rate time?" - }, - { - "start": "01:19.88", - "stop": "01:20.52", - "speaker": "Student", - "dialogue": "Is that what I heard?" - }, - { - "start": "01:20.56", - "stop": "01:21.44", - "speaker": "Tutor", - "dialogue": "You say y." - }, - { - "start": "01:22.60", - "stop": "01:24.12", - "speaker": "Student", - "dialogue": "Are there other things you could measure?" - }, - { - "start": "01:25.64", - "stop": "01:43.52", - "speaker": "Tutor", - "dialogue": "Ah, I mean, uh, tho those are the first few I could think of." - }, - { - "start": "01:45.12", - "stop": "01:49.64", - "speaker": "Student", - "dialogue": "I use your cursor to show me the path that the car takes." - }, - { - "start": "01:51.72", - "stop": "01:52.00", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "01:57.36", - "stop": "01:57.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "01:57.56", - "stop": "01:57.60", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "01:57.68", - "stop": "01:59.68", - "speaker": "Student", - "dialogue": "Starts in Providence and ends in Newark." - }, - { - "start": "02:00.72", - "stop": "02:00.88", - "speaker": "Tutor", - "dialogue": "Ok." - }, - { - "start": "02:01.40", - "stop": "02:02.84", - "speaker": "Student", - "dialogue": "Now I'm going to remove this one." - }, - { - "start": "02:04.80", - "stop": "02:04.84", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "02:05.00", - "stop": "02:13.00", - "speaker": "Student", - "dialogue": "As you take a look at that, describe and explain what is happening during each stage of the journey." - }, - { - "start": "02:13.40", - "stop": "02:15.76", - "speaker": "Student", - "dialogue": "as you make sense of the graph and the map." - }, - { - "start": "02:41.52", - "stop": "03:18.04", - "speaker": "Tutor", - "dialogue": "Uh, so Uh, in the first hour, Um, there's a. It's like A. They're traveling at a rate of uh, fifty miles an hour, right from A to B, and then from B to C. there's short stop of uh, half an hour, and then C to D is also a constant uh, movement, Uh, from fifty uh to a hundred, and then Dta, E is like more of a scattered motion, not not constant, and then Ta F is more of a constant motion." - }, - { - "start": "03:20.36", - "stop": "03:22.20", - "speaker": "Student", - "dialogue": "So you've talked about some really cool words" - }, - { - "start": "03:22.24", - "stop": "03:22.36", - "speaker": "Student", - "dialogue": "Here?" - }, - { - "start": "03:22.44", - "stop": "03:28.92", - "speaker": "Student", - "dialogue": "you've said Constant motion, and you've said Not Constant motion, and also travelling at a rate." - }, - { - "start": "03:30.32", - "stop": "03:32.44", - "speaker": "Student", - "dialogue": "How do each of those phrases?" - }, - { - "start": "03:33.16", - "stop": "03:34.88", - "speaker": "Student", - "dialogue": "How are they related in your mind?" - }, - { - "start": "03:39.40", - "stop": "03:44.48", - "speaker": "Tutor", - "dialogue": "Ah, so I guess constant motion is." - }, - { - "start": "03:45.08", - "stop": "03:45.12", - "speaker": "Tutor", - "dialogue": "Uh." - }, - { - "start": "03:48.40", - "stop": "03:52.88", - "speaker": "Tutor", - "dialogue": "It's like it's like more of like a movement on like a highway, right it?" - }, - { - "start": "03:53.16", - "stop": "04:07.28", - "speaker": "Tutor", - "dialogue": "it's like Uh, The the speed is like around the same and then uh, like the scattered motion from D to E is like something like going loco." - }, - { - "start": "04:09.16", - "stop": "04:10.60", - "speaker": "Student", - "dialogue": "Yeah, what's going loco there?" - }, - { - "start": "04:10.76", - "stop": "04:12.08", - "speaker": "Student", - "dialogue": "And what I want you to think about" - }, - { - "start": "04:12.12", - "stop": "04:12.16", - "speaker": "Student", - "dialogue": "With" - }, - { - "start": "04:12.28", - "stop": "04:13.36", - "speaker": "Student", - "dialogue": "what's going loco there?" - }, - { - "start": "04:13.64", - "stop": "04:17.68", - "speaker": "Student", - "dialogue": "I challenge you to use these words." - }, - { - "start": "04:21.00", - "stop": "04:21.04", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "04:25.00", - "stop": "04:25.56", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "04:29.72", - "stop": "04:30.28", - "speaker": "Tutor", - "dialogue": "Increasing." - }, - { - "start": "04:30.92", - "stop": "04:30.96", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "04:31.20", - "stop": "04:31.52", - "speaker": "Tutor", - "dialogue": "Staying." - }, - { - "start": "04:31.64", - "stop": "04:33.24", - "speaker": "Student", - "dialogue": "The same, so I agree with you." - }, - { - "start": "04:33.56", - "stop": "04:34.60", - "speaker": "Student", - "dialogue": "Something's loco there." - }, - { - "start": "04:42.12", - "stop": "04:42.24", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "04:42.32", - "stop": "04:51.64", - "speaker": "Student", - "dialogue": "Can you go deeper with your local explanation using either distance, miles, time hours, increasing, decreasing and staying the same?" - }, - { - "start": "04:52.64", - "stop": "04:56.52", - "speaker": "Tutor", - "dialogue": "Uh, So in in the local Uh, there's Uh." - }, - { - "start": "04:58.24", - "stop": "05:08.32", - "speaker": "Tutor", - "dialogue": "variation in in the Uh, increase, slash, uh, decrease of Uh, the miles per hour, Uh." - }, - { - "start": "05:12.72", - "stop": "05:13.00", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "05:15.28", - "stop": "05:15.32", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "05:16.68", - "stop": "05:20.56", - "speaker": "Student", - "dialogue": "You're saying miles per hour, so you're kind of combining both of those." - }, - { - "start": "05:20.92", - "stop": "05:31.20", - "speaker": "Student", - "dialogue": "So what I want to know first is distance, is it increasing, decreasing or staying the same, And then time is it increasing, decreasing or staying the same." - }, - { - "start": "05:31.88", - "stop": "05:34.96", - "speaker": "Student", - "dialogue": "And then can you talk about both of them together" - }, - { - "start": "05:35.40", - "stop": "05:38.64", - "speaker": "Student", - "dialogue": "Like as distance is doing something, time is doing something." - }, - { - "start": "05:40.12", - "stop": "05:44.88", - "speaker": "Tutor", - "dialogue": "Uh, so as so, so distance uh on the graph is Uh" - }, - { - "start": "05:45.60", - "stop": "05:46.12", - "speaker": "Tutor", - "dialogue": "increasing." - }, - { - "start": "05:46.36", - "stop": "05:54.68", - "speaker": "Tutor", - "dialogue": "and Uh, so is the time so Uh, while while the time Uh increases to the amount of uh, distance also increases." - }, - { - "start": "05:55.36", - "stop": "05:57.84", - "speaker": "Student", - "dialogue": "And are they increasing at what you've used?" - }, - { - "start": "05:58.28", - "stop": "06:04.08", - "speaker": "Student", - "dialogue": "These other words, are they increasing at a constant motion or a constant rate, or is that uh?" - }, - { - "start": "06:05.20", - "stop": "06:12.40", - "speaker": "Tutor", - "dialogue": "From D to E, A, it's not really constant, as as in, like A to b, C to D." - }, - { - "start": "06:13.44", - "stop": "06:20.84", - "speaker": "Student", - "dialogue": "Okay, so from C to D is the distance and time increasing, decreasing or staying the same?" - }, - { - "start": "06:22.12", - "stop": "06:27.44", - "speaker": "Tutor", - "dialogue": "A, it's also a. The distance is also increasing as the time increases." - }, - { - "start": "06:28.64", - "stop": "06:40.08", - "speaker": "Student", - "dialogue": "And so from C to D, those increase at a constant rate, and from D to E, this locomotion is telling us that Az." - }, - { - "start": "06:41.60", - "stop": "06:46.92", - "speaker": "Student", - "dialogue": "they're both still gradually increasing, but not at the same rate." - }, - { - "start": "06:47.88", - "stop": "06:47.92", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "06:48.80", - "stop": "06:58.40", - "speaker": "Student", - "dialogue": "And then you've also used the word speed are rate speed and constant motion, The same thing in your mind, or are they different?" - }, - { - "start": "07:00.20", - "stop": "07:17.44", - "speaker": "Tutor", - "dialogue": "Oh, I would say, uh, rate and speed are are basically the the same thing, but uh speed, I I guess is more generally used to describe like uh, movement of like, uh, vehicles and stuff." - }, - { - "start": "07:18.52", - "stop": "07:18.56", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "07:18.80", - "stop": "07:21.80", - "speaker": "Tutor", - "dialogue": "Well, well, rate rate is like, I guess more general." - }, - { - "start": "07:23.28", - "stop": "07:29.00", - "speaker": "Student", - "dialogue": "Yeah, so rate can describe how any two things are changing in relation to each other." - }, - { - "start": "07:29.16", - "stop": "07:30.76", - "speaker": "Student", - "dialogue": "It doesn't have to be distance or time." - }, - { - "start": "07:31.68", - "stop": "07:32.72", - "speaker": "Student", - "dialogue": "It cond be different variables." - }, - { - "start": "07:33.08", - "stop": "07:40.72", - "speaker": "Student", - "dialogue": "Speed happens to be the rate in this situation because it's a relationship of miles and hours." - }, - { - "start": "07:43.04", - "stop": "07:48.28", - "speaker": "Student", - "dialogue": "Okay, So now where do you see this journey?" - }, - { - "start": "07:48.52", - "stop": "07:48.56", - "speaker": "Student", - "dialogue": "Like" - }, - { - "start": "07:48.76", - "stop": "07:53.60", - "speaker": "Student", - "dialogue": "Each of these points in these segments, Where do you think they would be located on the map?" - }, - { - "start": "07:54.28", - "stop": "07:56.48", - "speaker": "Student", - "dialogue": "and you can start labeling some stuff over there?" - }, - { - "start": "08:26.96", - "stop": "08:27.08", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "08:27.12", - "stop": "08:27.16", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "08:27.20", - "stop": "08:28.96", - "speaker": "Tutor", - "dialogue": "You want me to ah libbele?" - }, - { - "start": "08:29.56", - "stop": "08:36.72", - "speaker": "Student", - "dialogue": "I just want you to help me see how you think about the relationship between the map and the graph." - }, - { - "start": "08:37.24", - "stop": "08:46.76", - "speaker": "Student", - "dialogue": "So you did some really cool explaining over here that and you use things like constant motion, And and Um, then over here it" - }, - { - "start": "08:47.16", - "stop": "08:51.20", - "speaker": "Student", - "dialogue": "the speed is increasing and decreasing, so I have a sense of how you make sense of this graph." - }, - { - "start": "08:52.76", - "stop": "08:52.80", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "08:53.04", - "stop": "08:56.00", - "speaker": "Student", - "dialogue": "Graph represents what's going on on the journey on the map." - }, - { - "start": "08:57.92", - "stop": "08:57.96", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "08:58.24", - "stop": "09:01.96", - "speaker": "Student", - "dialogue": "How do you make sense of the relationship between the map and the graph?" - }, - { - "start": "09:03.84", - "stop": "09:16.08", - "speaker": "Tutor", - "dialogue": "So I would sit at A and B, A to B is, I guess like some portion of Uh, the highway and then B. C. It's like a resting stop." - }, - { - "start": "09:16.16", - "stop": "09:31.60", - "speaker": "Tutor", - "dialogue": "I guess like right here and then C. A D is continuing on the I ninety five and then D to E's like Uh, the local path right here and then Uh, the New Jersey" - }, - { - "start": "09:31.68", - "stop": "09:36.56", - "speaker": "Tutor", - "dialogue": "Turnpike is also basically like a highwa, so I'd say that's like Eda F." - }, - { - "start": "09:38.16", - "stop": "09:40.52", - "speaker": "Student", - "dialogue": "How did you know the local path was in New York City?" - }, - { - "start": "09:42.12", - "stop": "09:47.84", - "speaker": "Tutor", - "dialogue": "Uh, because the the I ninety five, Uh, that's all highway." - }, - { - "start": "09:47.96", - "stop": "09:53.36", - "speaker": "Tutor", - "dialogue": "so it's uh, mostly constant, Uh speed, and then Uh, New Jersey" - }, - { - "start": "09:53.40", - "stop": "10:02.48", - "speaker": "Tutor", - "dialogue": "Turnpike is also like, basically like a highway, so I would just say that the local path would be in New." - }, - { - "start": "10:02.56", - "stop": "10:05.00", - "speaker": "Student", - "dialogue": "York, What's going on in New York?" - }, - { - "start": "10:05.16", - "stop": "10:06.08", - "speaker": "Student", - "dialogue": "Is it a locopath?" - }, - { - "start": "10:06.24", - "stop": "10:15.08", - "speaker": "Student", - "dialogue": "Because the cars like turning on streets like, Help me understand why you know the locopath is New York, based on that D to e locopart." - }, - { - "start": "10:24.20", - "stop": "10:33.88", - "speaker": "Tutor", - "dialogue": "Um, A, I guess." - }, - { - "start": "10:34.08", - "stop": "10:37.40", - "speaker": "Tutor", - "dialogue": "Uh, like Tda E New York." - }, - { - "start": "10:37.56", - "stop": "10:40.36", - "speaker": "Tutor", - "dialogue": "Uh, maybe there's There's more traffic." - }, - { - "start": "10:45.36", - "stop": "10:49.52", - "speaker": "Student", - "dialogue": "And if there's more traffic, what does that mean about the cars distance and time?" - }, - { - "start": "10:50.88", - "stop": "10:58.52", - "speaker": "Tutor", - "dialogue": "A slower Uh, a less amount of Uh, miles, covered in Uh, the same amount of time." - }, - { - "start": "10:59.56", - "stop": "11:04.00", - "speaker": "Student", - "dialogue": "And are they goning to be able to go at a constant rate or a constant speed in New York City?" - }, - { - "start": "11:05.84", - "stop": "11:15.08", - "speaker": "Tutor", - "dialogue": "Uh, not necessarily, because uh, like, even if uh, you're on a highway, Uh, there's still going to be like constant stops." - }, - { - "start": "11:16.08", - "stop": "11:20.12", - "speaker": "Tutor", - "dialogue": "Like, like, the motion won't won't be constant." - }, - { - "start": "11:20.76", - "stop": "11:24.96", - "speaker": "Student", - "dialogue": "Yeah, and you said something about a stop here?" - }, - { - "start": "11:25.76", - "stop": "11:27.48", - "speaker": "Student", - "dialogue": "Yeah, how did you know that was a stop?" - }, - { - "start": "11:28.36", - "stop": "11:30.64", - "speaker": "Tutor", - "dialogue": "Uh, ba, C, there's no Uh." - }, - { - "start": "11:31.00", - "stop": "11:32.04", - "speaker": "Tutor", - "dialogue": "change in distance." - }, - { - "start": "11:34.52", - "stop": "11:36.76", - "speaker": "Student", - "dialogue": "Is time staying the same there as well?" - }, - { - "start": "11:37.48", - "stop": "11:39.08", - "speaker": "Tutor", - "dialogue": "Ah, time is increasing." - }, - { - "start": "11:39.72", - "stop": "11:47.08", - "speaker": "Student", - "dialogue": "Do you see any part of the graph from D to E, where you could point to and say I think the car stopped right here?" - }, - { - "start": "11:50.64", - "stop": "11:55.68", - "speaker": "Tutor", - "dialogue": "To e, no, I, it seems like it's a gradually going up." - }, - { - "start": "11:57.04", - "stop": "12:01.52", - "speaker": "Student", - "dialogue": "What do you think was happening right here?" - }, - { - "start": "12:03.64", - "stop": "12:03.80", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "12:03.84", - "stop": "12:05.68", - "speaker": "Student", - "dialogue": "I'ma raise that so you can look closer." - }, - { - "start": "12:17.64", - "stop": "12:17.80", - "speaker": "Tutor", - "dialogue": "Did?" - }, - { - "start": "12:17.88", - "stop": "12:21.12", - "speaker": "Student", - "dialogue": "The car ever come to a complete stop from D to E." - }, - { - "start": "12:22.48", - "stop": "12:25.88", - "speaker": "Tutor", - "dialogue": "Ah, did you circle right here?" - }, - { - "start": "12:26.64", - "stop": "12:27.72", - "speaker": "Student", - "dialogue": "We can talk about that one." - }, - { - "start": "12:29.68", - "stop": "12:32.28", - "speaker": "Tutor", - "dialogue": "O, well, it doesn't look like." - }, - { - "start": "12:32.36", - "stop": "12:33.92", - "speaker": "Tutor", - "dialogue": "Uh, it came to a complete stop." - }, - { - "start": "12:34.20", - "stop": "12:37.44", - "speaker": "Student", - "dialogue": "How would you be able to tell by the graph if it came to a complete stop?" - }, - { - "start": "12:38.36", - "stop": "12:43.84", - "speaker": "Tutor", - "dialogue": "If uh, theres no increase in distance, but uh time is increasing." - }, - { - "start": "12:44.16", - "stop": "12:47.44", - "speaker": "Student", - "dialogue": "So would that be a straight horizontal or a straight vertical linev?" - }, - { - "start": "12:47.64", - "stop": "12:48.88", - "speaker": "Tutor", - "dialogue": "Is straight horizontal Co?" - }, - { - "start": "12:50.76", - "stop": "12:54.00", - "speaker": "Student", - "dialogue": "Um, one more thing here and then I'm going to uncover something else." - }, - { - "start": "12:54.84", - "stop": "12:56.24", - "speaker": "Student", - "dialogue": "Help me, I think you said." - }, - { - "start": "12:57.80", - "stop": "12:57.84", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "12:58.08", - "stop": "13:04.00", - "speaker": "Student", - "dialogue": "Is like A, and this is B, and the part that you circled was A to B." - }, - { - "start": "13:04.92", - "stop": "13:04.96", - "speaker": "Tutor", - "dialogue": "Y." - }, - { - "start": "13:05.96", - "stop": "13:08.36", - "speaker": "Student", - "dialogue": "And then I see A to B on the graph over here." - }, - { - "start": "13:10.28", - "stop": "13:10.44", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "13:10.56", - "stop": "13:18.72", - "speaker": "Student", - "dialogue": "Come, it's a curvey line on the map, but it's a straight line on the graph if it's representing the same part of the journey." - }, - { - "start": "13:19.84", - "stop": "13:41.60", - "speaker": "Tutor", - "dialogue": "Ah, so the graph is uh, referred to the distance covered and not like the route or like, like the speed Uh, of the journey from A to B. Uh, The the graph is uh, talking about the speed from A to B, not the the path it takes." - }, - { - "start": "13:43.24", - "stop": "13:53.12", - "speaker": "Student", - "dialogue": "M. so the path wasn't a straight line, but the speed was a constant speed or a constant rate." - }, - { - "start": "13:53.80", - "stop": "13:53.84", - "speaker": "Tutor", - "dialogue": "Y." - }, - { - "start": "13:54.68", - "stop": "14:01.84", - "speaker": "Student", - "dialogue": "So I can be driving on a Kirby road at the same speed the whole time now." - }, - { - "start": "14:08.60", - "stop": "14:08.64", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "14:08.84", - "stop": "14:10.76", - "speaker": "Student", - "dialogue": "Are we going to be keeping track of in this graph?" - }, - { - "start": "14:20.20", - "stop": "14:20.52", - "speaker": "Tutor", - "dialogue": "Speed." - }, - { - "start": "14:20.80", - "stop": "14:20.84", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "14:21.36", - "stop": "14:21.72", - "speaker": "Tutor", - "dialogue": "Time." - }, - { - "start": "14:22.12", - "stop": "14:25.12", - "speaker": "Student", - "dialogue": "Yeah, so the car?" - }, - { - "start": "14:27.36", - "stop": "14:27.56", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "14:27.84", - "stop": "14:32.32", - "speaker": "Student", - "dialogue": "A to f is the car travelling the same speed this entire journey." - }, - { - "start": "14:33.44", - "stop": "14:34.08", - "speaker": "Tutor", - "dialogue": "No, no." - }, - { - "start": "14:35.48", - "stop": "14:39.36", - "speaker": "Student", - "dialogue": "So what I'd like you to do now is sketch what you think the graph would look like" - }, - { - "start": "14:39.92", - "stop": "14:45.20", - "speaker": "Student", - "dialogue": "That keeps track of speed, the relationship between speed and time." - }, - { - "start": "14:56.68", - "stop": "14:59.92", - "speaker": "Tutor", - "dialogue": "O." - }, - { - "start": "15:16.56", - "stop": "15:16.80", - "speaker": "Student", - "dialogue": "Eight." - }, - { - "start": "15:45.52", - "stop": "15:45.68", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "15:45.76", - "stop": "15:46.12", - "speaker": "Student", - "dialogue": "Strik." - }, - { - "start": "15:46.48", - "stop": "15:46.92", - "speaker": "Tutor", - "dialogue": "Lapl." - }, - { - "start": "15:47.64", - "stop": "15:49.28", - "speaker": "Student", - "dialogue": "Yeah, that would be helpful." - }, - { - "start": "15:49.32", - "stop": "15:53.96", - "speaker": "Student", - "dialogue": "so that 'cause graphs communicate to people right what the relationship is." - }, - { - "start": "15:54.12", - "stop": "15:54.92", - "speaker": "Student", - "dialogue": "So O." - }, - { - "start": "15:55.84", - "stop": "15:56.20", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "15:56.40", - "stop": "16:16.00", - "speaker": "Student", - "dialogue": "Communicating what you mean by that line there with a label of what it represents on the horizontal axis would be very helpfulap." - }, - { - "start": "16:37.92", - "stop": "17:51.24", - "speaker": "Tutor", - "dialogue": "I, oh, wit de sin puh." - }, - { - "start": "18:38.08", - "stop": "18:38.32", - "speaker": "Student", - "dialogue": "Uhh." - }, - { - "start": "18:38.60", - "stop": "18:39.80", - "speaker": "Tutor", - "dialogue": "Y something like that?" - }, - { - "start": "18:42.04", - "stop": "18:42.32", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "18:44.96", - "stop": "18:45.08", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "18:45.12", - "stop": "18:47.92", - "speaker": "Student", - "dialogue": "You ready to talk about it, or are you still thinking and creating?" - }, - { - "start": "18:48.40", - "stop": "18:50.60", - "speaker": "Tutor", - "dialogue": "Ah, I, I think I'm ready you." - }, - { - "start": "18:50.76", - "stop": "18:51.00", - "speaker": "Student", - "dialogue": "Ready?" - }, - { - "start": "18:52.36", - "stop": "18:59.12", - "speaker": "Student", - "dialogue": "okay, So when you were on the map and I asked you to take the cursor and show me the path that the car takes." - }, - { - "start": "19:00.16", - "stop": "19:04.32", - "speaker": "Student", - "dialogue": "In words, we could say, the car started in Providence, stopped." - }, - { - "start": "19:04.84", - "stop": "19:06.04", - "speaker": "Student", - "dialogue": "Then it drove at a constant." - }, - { - "start": "19:06.40", - "stop": "19:06.52", - "speaker": "Student", - "dialogue": "Right." - }, - { - "start": "19:06.72", - "stop": "19:09.32", - "speaker": "Student", - "dialogue": "These things that we've been talking about made it through New York City." - }, - { - "start": "19:09.44", - "stop": "19:28.56", - "speaker": "Student", - "dialogue": "There were some stop and go or slowing and speeding up, and then to Newark, And then when you talked about the graph, you talked about it being Um, a constant speed or a constant motion, and then stopping for a period of time, and then constant motion and loco, and then constant motion again or constant rate." - }, - { - "start": "19:29.32", - "stop": "19:35.88", - "speaker": "Student", - "dialogue": "take me through your graph that you just create it and explain the journey to me and how it's represented in your graph." - }, - { - "start": "19:37.36", - "stop": "19:40.64", - "speaker": "Tutor", - "dialogue": "Okay, so M a can circulary?" - }, - { - "start": "19:40.76", - "stop": "19:50.88", - "speaker": "Tutor", - "dialogue": "Yeah, so this section, uh, it's from Uh, zero hours to one hour, which is uh, same right here, zero to one." - }, - { - "start": "19:51.64", - "stop": "19:52.04", - "speaker": "Tutor", - "dialogue": "and uh." - }, - { - "start": "19:52.28", - "stop": "19:58.68", - "speaker": "Tutor", - "dialogue": "this is a constant, Uh, constant speed of Uh, around fifty, 'cause fifty miles one hour." - }, - { - "start": "19:59.72", - "stop": "20:08.16", - "speaker": "Tutor", - "dialogue": "So this's fifty right here and then there's a stop from Uh one to one point five, so one hour to one and a half." - }, - { - "start": "20:09.00", - "stop": "20:16.64", - "speaker": "Tutor", - "dialogue": "and uh, this right here would be Uh, zero miles per hour, and then over here" - }, - { - "start": "20:16.76", - "stop": "20:29.84", - "speaker": "Tutor", - "dialogue": "from C. d, Uh, it's also around Uh, fifty miles per hour from one and a half hour, Uh to two and a half, so one and a half to two and a half, and then right" - }, - { - "start": "20:29.92", - "stop": "20:30.08", - "speaker": "Tutor", - "dialogue": "here" - }, - { - "start": "20:30.20", - "stop": "20:34.00", - "speaker": "Tutor", - "dialogue": "we have the uh, like the jittery motion" - }, - { - "start": "20:34.28", - "stop": "20:42.12", - "speaker": "Tutor", - "dialogue": "like stop and go and uh, it's like around twenty five miles per hour at Es." - }, - { - "start": "20:42.56", - "stop": "20:44.28", - "speaker": "Tutor", - "dialogue": "That's like my uh, rough estimate." - }, - { - "start": "20:45.56", - "stop": "20:48.68", - "speaker": "Tutor", - "dialogue": "and uh, because it's like stop, stop and go." - }, - { - "start": "20:48.96", - "stop": "20:58.76", - "speaker": "Tutor", - "dialogue": "Uh, it's like uh, varied speed at varied times and then Ether, f uh's also aro." - }, - { - "start": "21:03.56", - "stop": "21:05.08", - "speaker": "Student", - "dialogue": "Arereait." - }, - { - "start": "21:05.40", - "stop": "21:08.00", - "speaker": "Tutor", - "dialogue": "Wait, I think, Ex a meaning." - }, - { - "start": "21:08.24", - "stop": "21:09.08", - "speaker": "Student", - "dialogue": "Yeah, are you here?" - }, - { - "start": "21:09.24", - "stop": "21:09.96", - "speaker": "Student", - "dialogue": "Can you still hear me?" - }, - { - "start": "21:11.28", - "stop": "21:12.36", - "speaker": "Tutor", - "dialogue": "Yeah, I, I can hear you." - }, - { - "start": "21:12.80", - "stop": "21:17.92", - "speaker": "Student", - "dialogue": "I don't know what happened, but you said Eda F. It's also around and then your sound cut out." - }, - { - "start": "21:19.32", - "stop": "21:21.00", - "speaker": "Tutor", - "dialogue": "Uh, Wh, did I catch you?" - }, - { - "start": "21:21.12", - "stop": "21:22.32", - "speaker": "Tutor", - "dialogue": "the original Oh." - }, - { - "start": "21:22.68", - "stop": "21:23.68", - "speaker": "Student", - "dialogue": "It happened again." - }, - { - "start": "21:24.84", - "stop": "21:28.08", - "speaker": "Student", - "dialogue": "Okay, this is a tech glitch, so hold tight for a second." - }, - { - "start": "21:28.12", - "stop": "21:31.28", - "speaker": "Student", - "dialogue": "I'm gona tag the tech guys and one of them will hop on the call with us." - }, - { - "start": "21:32.04", - "stop": "22:41.84", - "speaker": "Student", - "dialogue": "Okay, you can't say anything again." - }, - { - "start": "22:42.88", - "stop": "22:43.64", - "speaker": "Tutor", - "dialogue": "Uh, ya, it." - }, - { - "start": "22:44.24", - "stop": "22:46.68", - "speaker": "Tutor", - "dialogue": "it's just the white screen." - }, - { - "start": "22:49.36", - "stop": "22:53.00", - "speaker": "Student", - "dialogue": "Um, yup and say okay when I." - }, - { - "start": "22:57.56", - "stop": "22:57.60", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "22:57.72", - "stop": "22:58.20", - "speaker": "Student", - "dialogue": "Can't say it." - }, - { - "start": "22:58.32", - "stop": "22:58.84", - "speaker": "Student", - "dialogue": "Not either." - }, - { - "start": "23:28.84", - "stop": "23:29.04", - "speaker": "Tutor", - "dialogue": "Hm." - }, - { - "start": "23:31.32", - "stop": "23:31.44", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "23:31.56", - "stop": "23:31.68", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "23:31.72", - "stop": "23:32.68", - "speaker": "Student", - "dialogue": "I just sent them the." - }, - { - "start": "23:35.28", - "stop": "23:35.32", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "23:35.88", - "stop": "23:37.72", - "speaker": "Student", - "dialogue": "The nine one one help slack." - }, - { - "start": "23:40.20", - "stop": "23:44.44", - "speaker": "Student", - "dialogue": "Um, do you know that you're helping us also test out the technology in the platform of all of this?" - }, - { - "start": "23:45.16", - "stop": "23:46.04", - "speaker": "Tutor", - "dialogue": "Ah, yeah, yes." - }, - { - "start": "23:46.08", - "stop": "23:48.84", - "speaker": "Student", - "dialogue": "So, thank you for being patient as we as we work through this." - }, - { - "start": "23:48.92", - "stop": "23:49.92", - "speaker": "Student", - "dialogue": "We really help you helping us." - }, - { - "start": "23:49.96", - "stop": "23:50.00", - "speaker": "Student", - "dialogue": "Lo." - }, - { - "start": "23:50.52", - "stop": "23:51.72", - "speaker": "Student", - "dialogue": "thank you for helping us, Ser." - }, - { - "start": "23:52.72", - "stop": "23:52.76", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "23:55.44", - "stop": "23:55.56", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "23:55.72", - "stop": "23:55.84", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "23:55.92", - "stop": "23:58.36", - "speaker": "Student", - "dialogue": "It looks like somebody joined us." - }, - { - "start": "23:59.84", - "stop": "24:01.04", - "speaker": "Tutor", - "dialogue": "Hey, amber, hello." - }, - { - "start": "24:01.72", - "stop": "24:02.20", - "speaker": "Student", - "dialogue": "Hey, hey." - }, - { - "start": "24:02.92", - "stop": "24:09.76", - "speaker": "Tutor", - "dialogue": "A, can you try reuploading a another blank version of the Pd F that you were using before just to see what happens?" - }, - { - "start": "24:14.76", - "stop": "24:14.80", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "24:14.88", - "stop": "24:15.12", - "speaker": "Tutor", - "dialogue": "Can't?" - }, - { - "start": "24:15.40", - "stop": "24:16.40", - "speaker": "Student", - "dialogue": "Oh wait, then it did." - }, - { - "start": "24:16.92", - "stop": "24:18.40", - "speaker": "Student", - "dialogue": "It just stuled for a second." - }, - { - "start": "24:22.52", - "stop": "24:22.60", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "24:22.72", - "stop": "24:23.80", - "speaker": "Student", - "dialogue": "Right, It's on page three." - }, - { - "start": "24:25.92", - "stop": "24:26.08", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "24:26.16", - "stop": "24:27.28", - "speaker": "Student", - "dialogue": "So there we go, and then?" - }, - { - "start": "24:27.44", - "stop": "24:28.00", - "speaker": "Tutor", - "dialogue": "Let me see." - }, - { - "start": "24:28.24", - "stop": "24:29.76", - "speaker": "Tutor", - "dialogue": "I'm not sure if I'm going to be able to." - }, - { - "start": "24:31.24", - "stop": "24:32.52", - "speaker": "Student", - "dialogue": "Recover what you've" - }, - { - "start": "24:32.64", - "stop": "24:35.16", - "speaker": "Tutor", - "dialogue": "Written on it so far, let me take a look just because." - }, - { - "start": "24:36.12", - "stop": "24:36.16", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "24:36.24", - "stop": "24:37.20", - "speaker": "Tutor", - "dialogue": "Don't know if the recording." - }, - { - "start": "24:37.32", - "stop": "24:37.80", - "speaker": "Student", - "dialogue": "Generates." - }, - { - "start": "24:38.00", - "stop": "24:52.24", - "speaker": "Tutor", - "dialogue": "Now or later, Yes, so the recording." - }, - { - "start": "24:52.44", - "stop": "24:52.72", - "speaker": "Student", - "dialogue": "Uh, it." - }, - { - "start": "24:52.84", - "stop": "24:55.64", - "speaker": "Tutor", - "dialogue": "Doesn't actually create until the session." - }, - { - "start": "24:55.88", - "stop": "24:57.24", - "speaker": "Student", - "dialogue": "Ends, so that's how I was able." - }, - { - "start": "24:57.28", - "stop": "24:59.04", - "speaker": "Tutor", - "dialogue": "To get the progress back from." - }, - { - "start": "24:59.80", - "stop": "25:00.24", - "speaker": "Student", - "dialogue": "A your." - }, - { - "start": "25:00.28", - "stop": "25:03.56", - "speaker": "Tutor", - "dialogue": "Other student with uh, um, that you were having with yesterday." - }, - { - "start": "25:04.00", - "stop": "25:04.12", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "25:04.16", - "stop": "25:07.32", - "speaker": "Tutor", - "dialogue": "I just downloaded the recording and got a screenshot of his progress on the board." - }, - { - "start": "25:07.40", - "stop": "25:07.72", - "speaker": "Tutor", - "dialogue": "so far." - }, - { - "start": "25:08.56", - "stop": "25:10.04", - "speaker": "Tutor", - "dialogue": "Um, so, if you'd like, I would be able." - }, - { - "start": "25:10.08", - "stop": "25:12.24", - "speaker": "Student", - "dialogue": "To do that after this with the recording that's going." - }, - { - "start": "25:12.28", - "stop": "25:14.16", - "speaker": "Tutor", - "dialogue": "On with this session, too, um?" - }, - { - "start": "25:15.08", - "stop": "25:16.80", - "speaker": "Student", - "dialogue": "We are almost finished." - }, - { - "start": "25:17.32", - "stop": "25:22.04", - "speaker": "Student", - "dialogue": "We're at the very end, so I just recreated the last thing that he was um, helping me with right now." - }, - { - "start": "25:23.08", - "stop": "25:26.80", - "speaker": "Student", - "dialogue": "Okay, but I do separate from this." - }, - { - "start": "25:27.04", - "stop": "25:29.04", - "speaker": "Student", - "dialogue": "We have some other session scheduled today" - }, - { - "start": "25:29.08", - "stop": "25:31.12", - "speaker": "Student", - "dialogue": "And if this is going to continue, I don't know that it." - }, - { - "start": "25:32.04", - "stop": "25:32.68", - "speaker": "Student", - "dialogue": "Do you know what I mean?" - }, - { - "start": "25:32.80", - "stop": "25:33.68", - "speaker": "Student", - "dialogue": "We need to think about it." - }, - { - "start": "25:33.72", - "stop": "25:35.32", - "speaker": "Student", - "dialogue": "Does it make sense to continue right now or not?" - }, - { - "start": "25:36.04", - "stop": "25:36.16", - "speaker": "Tutor", - "dialogue": "Let." - }, - { - "start": "25:36.24", - "stop": "25:36.96", - "speaker": "Student", - "dialogue": "Me, get in contact." - }, - { - "start": "25:37.00", - "stop": "25:39.28", - "speaker": "Tutor", - "dialogue": "With Zack and see if he has an idea as to what's." - }, - { - "start": "25:39.36", - "stop": "25:39.96", - "speaker": "Student", - "dialogue": "Going on and?" - }, - { - "start": "25:40.04", - "stop": "25:42.24", - "speaker": "Tutor", - "dialogue": "Then I'll also take the recording from the session and I'll add." - }, - { - "start": "25:42.24", - "stop": "25:43.16", - "speaker": "Student", - "dialogue": "It to the bug report." - }, - { - "start": "25:43.24", - "stop": "25:44.36", - "speaker": "Tutor", - "dialogue": "That we have ongoing in this." - }, - { - "start": "25:45.00", - "stop": "25:47.24", - "speaker": "Student", - "dialogue": "For the issue, it generally happens right." - }, - { - "start": "25:47.32", - "stop": "25:52.04", - "speaker": "Student", - "dialogue": "about thirty minues, Okay, thirty minutes in Y so close to the end." - }, - { - "start": "25:52.44", - "stop": "25:53.52", - "speaker": "Student", - "dialogue": "Yeah, D." - }, - { - "start": "25:53.72", - "stop": "25:55.04", - "speaker": "Tutor", - "dialogue": "Ys, I guess, but it shouldn't be happening." - }, - { - "start": "25:55.48", - "stop": "25:56.04", - "speaker": "Student", - "dialogue": "Good stuff." - }, - { - "start": "25:56.44", - "stop": "25:56.72", - "speaker": "Student", - "dialogue": "I know." - }, - { - "start": "25:57.84", - "stop": "26:00.40", - "speaker": "Student", - "dialogue": "That's why I don't want to do another one if it's going to keep doing itcause." - }, - { - "start": "26:01.16", - "stop": "26:02.64", - "speaker": "Student", - "dialogue": "Yeah, okay." - }, - { - "start": "26:03.20", - "stop": "26:07.44", - "speaker": "Tutor", - "dialogue": "All right, I'll notify Zak'll, let you guys finish up, because I know I don't want to disturb the learning process, but I." - }, - { - "start": "26:07.76", - "stop": "26:07.96", - "speaker": "Student", - "dialogue": "I G." - }, - { - "start": "26:13.24", - "stop": "26:13.36", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "26:13.48", - "stop": "26:16.52", - "speaker": "Student", - "dialogue": "Right, this was the last part that you were explaining, right?" - }, - { - "start": "26:17.32", - "stop": "26:17.36", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "26:19.04", - "stop": "26:21.84", - "speaker": "Student", - "dialogue": "And how did you know that this went back up?" - }, - { - "start": "26:22.00", - "stop": "26:24.48", - "speaker": "Student", - "dialogue": "Did you have it right on fifty, or did you have it at a different spot?" - }, - { - "start": "26:26.08", - "stop": "26:34.00", - "speaker": "Tutor", - "dialogue": "Uhh, I had it around fifty, but uh w on one." - }, - { - "start": "26:47.96", - "stop": "26:50.96", - "speaker": "Tutor", - "dialogue": "I think it might be a bit over fifty actually." - }, - { - "start": "26:51.40", - "stop": "26:51.60", - "speaker": "Student", - "dialogue": "Tell." - }, - { - "start": "26:54.84", - "stop": "27:06.68", - "speaker": "Tutor", - "dialogue": "Uh, so around E to F. it's around Uh, one, thirty five to one fifty, which is uh fifteen." - }, - { - "start": "27:07.72", - "stop": "27:14.36", - "speaker": "Tutor", - "dialogue": "And then that's like a quarter of an hour, so that it's going to be around sixty miles per hour." - }, - { - "start": "27:15.12", - "stop": "27:19.96", - "speaker": "Student", - "dialogue": "Can you write down on the top what you just said with Thatd?" - }, - { - "start": "27:20.08", - "stop": "27:22.88", - "speaker": "Student", - "dialogue": "it was something with fifty and a quarter and that was cool." - }, - { - "start": "27:24.12", - "stop": "27:28.40", - "speaker": "Tutor", - "dialogue": "Okay, so right here, one thirty five." - }, - { - "start": "27:32.36", - "stop": "27:34.04", - "speaker": "Tutor", - "dialogue": "Here it it." - }, - { - "start": "27:34.28", - "stop": "27:38.00", - "speaker": "Tutor", - "dialogue": "It's a bit over one fifty, but I'm just gonna use one fifty." - }, - { - "start": "27:39.76", - "stop": "27:39.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "27:40.44", - "stop": "27:56.52", - "speaker": "Tutor", - "dialogue": "Fifteen and divided by point two, Five, because uh, I's a quarter of an hour, so it's like around sixty miles per hour." - }, - { - "start": "27:59.68", - "stop": "28:01.44", - "speaker": "Student", - "dialogue": "Okay, so that line will be a little bit higher." - }, - { - "start": "28:02.00", - "stop": "28:02.04", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "28:02.72", - "stop": "28:03.00", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "28:04.64", - "stop": "28:04.68", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "28:04.84", - "stop": "28:06.92", - "speaker": "Student", - "dialogue": "Do an excellent job of explaining how you're thinking." - }, - { - "start": "28:08.36", - "stop": "28:16.72", - "speaker": "Student", - "dialogue": "I'd really curious about where you would label point B. If I asked you to put that point on your graph." - }, - { - "start": "28:17.20", - "stop": "28:18.08", - "speaker": "Student", - "dialogue": "Where would you put B?" - }, - { - "start": "28:18.96", - "stop": "28:30.28", - "speaker": "Tutor", - "dialogue": "Point B would be a right here." - }, - { - "start": "28:31.16", - "stop": "28:32.00", - "speaker": "Tutor", - "dialogue": "Can you see the tot?" - }, - { - "start": "28:32.12", - "stop": "28:32.28", - "speaker": "Tutor", - "dialogue": "It's?" - }, - { - "start": "28:32.56", - "stop": "28:34.20", - "speaker": "Student", - "dialogue": "Kind of tiny, You can do a different color." - }, - { - "start": "28:34.28", - "stop": "28:35.84", - "speaker": "Student", - "dialogue": "Do you know how to change the color up on top?" - }, - { - "start": "28:36.32", - "stop": "28:38.36", - "speaker": "Tutor", - "dialogue": "Uhh, oh, I see it." - }, - { - "start": "28:45.56", - "stop": "28:47.44", - "speaker": "Tutor", - "dialogue": "I would say like exactly on the one." - }, - { - "start": "28:48.08", - "stop": "28:49.60", - "speaker": "Student", - "dialogue": "That's where B would be located." - }, - { - "start": "28:50.32", - "stop": "28:50.96", - "speaker": "Tutor", - "dialogue": "Yeahll." - }, - { - "start": "28:51.04", - "stop": "28:53.68", - "speaker": "Student", - "dialogue": "Right, I'm going to put it there so that I can see it." - }, - { - "start": "28:53.80", - "stop": "28:56.32", - "speaker": "Student", - "dialogue": "So you're saying like where I put the purple?" - }, - { - "start": "28:58.04", - "stop": "28:58.24", - "speaker": "Tutor", - "dialogue": "Oh" - }, - { - "start": "28:58.32", - "stop": "28:58.36", - "speaker": "Tutor", - "dialogue": "yeah." - }, - { - "start": "28:58.92", - "stop": "29:01.00", - "speaker": "Student", - "dialogue": "That would be point B." - }, - { - "start": "29:02.68", - "stop": "29:02.72", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "29:04.92", - "stop": "29:05.92", - "speaker": "Student", - "dialogue": "What point would this be?" - }, - { - "start": "29:12.84", - "stop": "29:27.80", - "speaker": "Tutor", - "dialogue": "Uh, that point, uh, uh, I would say would be like A. It's like approaching B. but Uh doesn't fully get to be like, kind of like an Asm tote." - }, - { - "start": "29:28.68", - "stop": "29:30.40", - "speaker": "Student", - "dialogue": "So this would be like an open circle." - }, - { - "start": "29:31.12", - "stop": "29:37.32", - "speaker": "Student", - "dialogue": "It doesn't include B. But this would be a closed circle because it actually includes point B." - }, - { - "start": "29:38.32", - "stop": "29:38.36", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "29:38.76", - "stop": "29:43.44", - "speaker": "Student", - "dialogue": "And this is everything right up as close as you can get to B, but not exactly B." - }, - { - "start": "29:44.24", - "stop": "29:45.16", - "speaker": "Tutor", - "dialogue": "Yeah, what?" - }, - { - "start": "29:45.44", - "stop": "29:46.44", - "speaker": "Student", - "dialogue": "Happens with the car." - }, - { - "start": "29:47.28", - "stop": "29:54.56", - "speaker": "Student", - "dialogue": "If we're thinking about this modeling the car situation, What would happen with the car from here to here?" - }, - { - "start": "29:56.04", - "stop": "29:59.04", - "speaker": "Tutor", - "dialogue": "Uh, uh, it slows down." - }, - { - "start": "29:59.24", - "stop": "30:03.48", - "speaker": "Tutor", - "dialogue": "Uh, it it breaks until Uh, like it it reaches." - }, - { - "start": "30:03.76", - "stop": "30:04.88", - "speaker": "Tutor", - "dialogue": "Uh, it comes to stop." - }, - { - "start": "30:06.40", - "stop": "30:10.24", - "speaker": "Student", - "dialogue": "Is there any deceleration or is it an instantaneous stop?" - }, - { - "start": "30:11.20", - "stop": "30:14.76", - "speaker": "Tutor", - "dialogue": "Uh, well, it, it appears to be Uh instantaneous." - }, - { - "start": "30:16.32", - "stop": "30:18.32", - "speaker": "Student", - "dialogue": "It appears to be here and in your graph." - }, - { - "start": "30:19.88", - "stop": "30:20.20", - "speaker": "Tutor", - "dialogue": "Uh, yeah." - }, - { - "start": "30:21.04", - "stop": "30:25.72", - "speaker": "Student", - "dialogue": "Yeah, and mathematically that's what you've modeled here right is that it's instantaneous." - }, - { - "start": "30:26.24", - "stop": "30:27.84", - "speaker": "Student", - "dialogue": "Yeah, can graphs look like this?" - }, - { - "start": "30:28.80", - "stop": "30:34.56", - "speaker": "Student", - "dialogue": "Have you graphs that look like this before where you have some lines in open circles and closed circles and they're kind of all over." - }, - { - "start": "30:34.96", - "stop": "30:35.12", - "speaker": "Student", - "dialogue": "Or do?" - }, - { - "start": "30:35.24", - "stop": "30:40.24", - "speaker": "Student", - "dialogue": "graphs always have to be connected either like that or you know like that or something?" - }, - { - "start": "30:42.12", - "stop": "30:45.00", - "speaker": "Tutor", - "dialogue": "They don't a have to be a connected." - }, - { - "start": "30:45.64", - "stop": "30:47.96", - "speaker": "Student", - "dialogue": "Have you dealt with graphs that were not connected before?" - }, - { - "start": "30:49.16", - "stop": "30:49.20", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "30:52.32", - "stop": "30:53.48", - "speaker": "Student", - "dialogue": "Like the one that you created?" - }, - { - "start": "30:56.00", - "stop": "30:58.24", - "speaker": "Tutor", - "dialogue": "I would kind of be like a peacewise." - }, - { - "start": "30:58.52", - "stop": "30:58.72", - "speaker": "Tutor", - "dialogue": "ah." - }, - { - "start": "30:58.88", - "stop": "30:59.64", - "speaker": "Student", - "dialogue": "Yep, that's the word." - }, - { - "start": "30:59.72", - "stop": "31:02.04", - "speaker": "Student", - "dialogue": "I was wondering if you had experience with that before." - }, - { - "start": "31:02.84", - "stop": "31:04.64", - "speaker": "Student", - "dialogue": "Yep, that's cool." - }, - { - "start": "31:05.60", - "stop": "31:06.56", - "speaker": "Student", - "dialogue": "Well, thank you." - }, - { - "start": "31:07.24", - "stop": "31:08.72", - "speaker": "Student", - "dialogue": "so Oh, I have one more question for you" - }, - { - "start": "31:08.80", - "stop": "31:12.40", - "speaker": "Student", - "dialogue": "then, since you're using these fancy words like peacefis and asymptotes and all that." - }, - { - "start": "31:14.36", - "stop": "31:14.48", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "31:14.56", - "stop": "31:21.56", - "speaker": "Student", - "dialogue": "Do you understand slope on this graph and can you find slope of any segment on that graph?" - }, - { - "start": "31:22.84", - "stop": "31:49.68", - "speaker": "Tutor", - "dialogue": "Slope uh, well from like like the slopes that look constant like a B, C, d d, b, T, C, Mmhmm, e, f, Uh, take the difference of Uh, the the top point, or like the the second point, and then uh, divide it by the difference in the hours." - }, - { - "start": "31:50.64", - "stop": "31:52.40", - "speaker": "Student", - "dialogue": "Which is what you did to find the speed?" - }, - { - "start": "31:53.16", - "stop": "31:53.20", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "31:53.68", - "stop": "32:03.96", - "speaker": "Student", - "dialogue": "Right, so yeah, so the speed is the slope at those segments and you are talking about how to find the slope of a linear equation where you do the change in Y over the change in X?" - }, - { - "start": "32:04.60", - "stop": "32:04.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "32:05.52", - "stop": "32:05.56", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "32:05.72", - "stop": "32:09.08", - "speaker": "Student", - "dialogue": "About that local part, can you find the slope of De?" - }, - { - "start": "32:10.16", - "stop": "32:10.20", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "32:13.76", - "stop": "32:13.80", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "32:13.96", - "stop": "32:36.92", - "speaker": "Tutor", - "dialogue": "Could roughly uh, estimate it, but um, it'd be scattered, but uh, if you were to zoom in on each portion, uh, I think, uh, uh, you would zoom in like forever, so you, you can't exactly calculate the slope of each single portionause, The the speed is always going to be varying." - }, - { - "start": "32:37.12", - "stop": "32:38.16", - "speaker": "Student", - "dialogue": "You can approximate it." - }, - { - "start": "32:38.80", - "stop": "32:41.20", - "speaker": "Student", - "dialogue": "Yeah, have you taken calculus yet?" - }, - { - "start": "32:42.04", - "stop": "32:45.04", - "speaker": "Tutor", - "dialogue": "Oh, I have a P. L. B, C next year you do." - }, - { - "start": "32:45.80", - "stop": "32:55.64", - "speaker": "Student", - "dialogue": "Yeah, as you're thinking through some of your calculus learning, I challenge you to think about this local part and think about how it connects in your learning next year." - }, - { - "start": "32:55.88", - "stop": "33:01.72", - "speaker": "Tutor", - "dialogue": "O, So I, I haven't actually taken a precuk yet." - }, - { - "start": "33:02.00", - "stop": "33:07.08", - "speaker": "Tutor", - "dialogue": "A, so like next year I, I have a pre kauk and a Pkauk together." - }, - { - "start": "33:07.60", - "stop": "33:11.00", - "speaker": "Student", - "dialogue": "Ah, so continue thinking about in those classes." - }, - { - "start": "33:11.36", - "stop": "33:14.48", - "speaker": "Student", - "dialogue": "How are these things changing in relation to each other?" - }, - { - "start": "33:15.40", - "stop": "33:17.32", - "speaker": "Student", - "dialogue": "And how does my graph show that?" - }, - { - "start": "33:18.32", - "stop": "33:30.00", - "speaker": "Student", - "dialogue": "And then also could I find the exact slope of d to e or not, And why we're not going to go into that today, But that's your your thinking homework for next year." - }, - { - "start": "33:31.92", - "stop": "33:32.12", - "speaker": "Tutor", - "dialogue": "Got?" - }, - { - "start": "33:32.16", - "stop": "33:32.20", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "33:34.56", - "stop": "33:34.68", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "33:34.80", - "stop": "33:38.84", - "speaker": "Student", - "dialogue": "Right, cool, thank you so much for joining today and for being patient as we had that tech glitch." - }, - { - "start": "33:39.52", - "stop": "33:42.16", - "speaker": "Student", - "dialogue": "I really appreciate you helping us out." - }, - { - "start": "33:43.08", - "stop": "33:43.20", - "speaker": "Tutor", - "dialogue": "No" - }, - { - "start": "33:43.28", - "stop": "33:43.56", - "speaker": "Tutor", - "dialogue": "problem." - }, - { - "start": "33:43.88", - "stop": "33:44.44", - "speaker": "Student", - "dialogue": "Have a good day." - }, - { - "start": "33:45.08", - "stop": "33:46.08", - "speaker": "Tutor", - "dialogue": "You too, bye bye." - } -] \ No newline at end of file diff --git a/data/amber/7112022AC.json b/data/amber/7112022AC.json deleted file mode 100644 index 01c6525..0000000 --- a/data/amber/7112022AC.json +++ /dev/null @@ -1,3770 +0,0 @@ -[ - { - "start": "00:00.56", - "stop": "00:01.12", - "speaker": "Tutor", - "dialogue": "There we go." - }, - { - "start": "00:03.28", - "stop": "00:14.92", - "speaker": "Tutor", - "dialogue": "Sop to me what you see on the screen and what you under thisp." - }, - { - "start": "00:20.88", - "stop": "00:20.92", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "00:21.08", - "stop": "00:21.12", - "speaker": "Tutor", - "dialogue": "Do?" - }, - { - "start": "00:21.20", - "stop": "00:21.24", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "00:21.32", - "stop": "00:21.48", - "speaker": "Tutor", - "dialogue": "Think." - }, - { - "start": "00:21.60", - "stop": "00:21.64", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "00:21.76", - "stop": "00:28.84", - "speaker": "Tutor", - "dialogue": "Happening in this situation with this map they're traveling, Say more, traveling from where or how." - }, - { - "start": "00:31.84", - "stop": "00:32.04", - "speaker": "Student", - "dialogue": "They're" - }, - { - "start": "00:32.20", - "stop": "00:38.16", - "speaker": "Tutor", - "dialogue": "Travelling from New Jersey to New York, Ok, and where are they going to start?" - }, - { - "start": "00:49.40", - "stop": "00:49.44", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "00:49.56", - "stop": "00:49.88", - "speaker": "Tutor", - "dialogue": "You're right." - }, - { - "start": "00:49.92", - "stop": "00:50.88", - "speaker": "Tutor", - "dialogue": "they're going to get in a car." - }, - { - "start": "00:51.28", - "stop": "00:57.60", - "speaker": "Tutor", - "dialogue": "They're going to take a journey, and they're going to drive from one place to another on this map." - }, - { - "start": "01:00.04", - "stop": "01:00.08", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "01:00.24", - "stop": "01:04.44", - "speaker": "Tutor", - "dialogue": "Are some things that we might be able to measure in this journey?" - }, - { - "start": "01:07.12", - "stop": "01:07.16", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "01:07.40", - "stop": "01:07.56", - "speaker": "Tutor", - "dialogue": "Rol." - }, - { - "start": "01:09.36", - "stop": "01:09.52", - "speaker": "Student", - "dialogue": "Tell." - }, - { - "start": "01:09.56", - "stop": "01:11.20", - "speaker": "Tutor", - "dialogue": "Me more, what do you mean by the route?" - }, - { - "start": "01:12.80", - "stop": "01:12.84", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "01:13.08", - "stop": "01:21.24", - "speaker": "Tutor", - "dialogue": "The distance between where they're traveling from, Okay, so we can measure distance on the route." - }, - { - "start": "01:22.56", - "stop": "01:24.36", - "speaker": "Tutor", - "dialogue": "Yeah, anything else that we could measure?" - }, - { - "start": "01:31.76", - "stop": "01:31.80", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "01:31.96", - "stop": "01:32.40", - "speaker": "Tutor", - "dialogue": "Miles." - }, - { - "start": "01:34.32", - "stop": "01:34.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "01:34.56", - "stop": "01:38.12", - "speaker": "Tutor", - "dialogue": "The miles would be keeping track of the distan." - }, - { - "start": "01:38.28", - "stop": "01:38.76", - "speaker": "Tutor", - "dialogue": "The distance." - }, - { - "start": "01:38.96", - "stop": "01:41.12", - "speaker": "Tutor", - "dialogue": "Okay, anything else?" - }, - { - "start": "01:49.48", - "stop": "01:49.52", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "01:49.64", - "stop": "01:52.96", - "speaker": "Tutor", - "dialogue": "We can measure the distance that they travel in terms of miles." - }, - { - "start": "01:54.72", - "stop": "01:57.60", - "speaker": "Tutor", - "dialogue": "Now, I'm going to uncover something else." - }, - { - "start": "01:59.84", - "stop": "02:00.08", - "speaker": "Student", - "dialogue": "There's" - }, - { - "start": "02:00.16", - "stop": "02:11.16", - "speaker": "Tutor", - "dialogue": "A map and a graph now describe and explain what is happening during each stage of the journey as you make sense of the graph and the map." - }, - { - "start": "02:13.16", - "stop": "02:13.20", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "02:13.40", - "stop": "02:16.44", - "speaker": "Tutor", - "dialogue": "Is increasing that's cool?" - }, - { - "start": "02:16.60", - "stop": "02:21.24", - "speaker": "Tutor", - "dialogue": "What's the it that is increasing the distant." - }, - { - "start": "02:22.96", - "stop": "02:23.12", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "02:23.16", - "stop": "02:28.00", - "speaker": "Tutor", - "dialogue": "You show me how you see that it's increasing and where you see that increase." - }, - { - "start": "02:31.72", - "stop": "02:31.76", - "speaker": "Student", - "dialogue": "Uh?" - }, - { - "start": "02:32.04", - "stop": "02:38.68", - "speaker": "Tutor", - "dialogue": "The letter that's showing Okay, point to it with your cursor, so I can just make sure I understand Okay." - }, - { - "start": "02:38.76", - "stop": "02:45.04", - "speaker": "Tutor", - "dialogue": "So from A to B, Yeah, the distance is increasingkn." - }, - { - "start": "02:45.28", - "stop": "02:45.48", - "speaker": "Student", - "dialogue": "Keep." - }, - { - "start": "02:45.56", - "stop": "02:49.84", - "speaker": "Tutor", - "dialogue": "Going, what else do you see or notice about the map and the graph?" - }, - { - "start": "02:51.12", - "stop": "02:51.24", - "speaker": "Tutor", - "dialogue": "Um?" - }, - { - "start": "02:51.40", - "stop": "02:56.52", - "speaker": "Tutor", - "dialogue": "from hour one to and a half, Um, it didn't increase This." - }, - { - "start": "02:56.64", - "stop": "02:57.40", - "speaker": "Tutor", - "dialogue": "Stay this same." - }, - { - "start": "02:58.72", - "stop": "02:58.76", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "02:59.08", - "stop": "03:00.12", - "speaker": "Tutor", - "dialogue": "What didn't increase?" - }, - { - "start": "03:02.56", - "stop": "03:02.60", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "03:02.76", - "stop": "03:03.80", - "speaker": "Tutor", - "dialogue": "Distance, the distance?" - }, - { - "start": "03:03.96", - "stop": "03:16.88", - "speaker": "Tutor", - "dialogue": "Okay, so it stayed the same from B to C. So did they travel any miles from B to C? No, No, Okay, then what happened and then starting from D to E?" - }, - { - "start": "03:33.28", - "stop": "03:33.56", - "speaker": "Student", - "dialogue": "Starting." - }, - { - "start": "03:33.60", - "stop": "03:34.96", - "speaker": "Tutor", - "dialogue": "From D to E, what happens?" - }, - { - "start": "03:38.56", - "stop": "03:38.80", - "speaker": "Student", - "dialogue": "There's" - }, - { - "start": "03:38.92", - "stop": "03:41.56", - "speaker": "Tutor", - "dialogue": "Like a little between them?" - }, - { - "start": "03:41.80", - "stop": "03:44.68", - "speaker": "Tutor", - "dialogue": "Yeah, what do you think that squi line means?" - }, - { - "start": "03:47.72", - "stop": "03:47.76", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "03:47.88", - "stop": "03:48.08", - "speaker": "Tutor", - "dialogue": "They're" - }, - { - "start": "03:48.76", - "stop": "03:50.52", - "speaker": "Tutor", - "dialogue": "They're increasing and decreasing." - }, - { - "start": "03:50.68", - "stop": "03:52.92", - "speaker": "Tutor", - "dialogue": "It's not at the same rate." - }, - { - "start": "03:54.00", - "stop": "04:01.68", - "speaker": "Tutor", - "dialogue": "Ah, so because it's squiggly, there's an increase in a decrease, so it's not a constant rate." - }, - { - "start": "04:01.92", - "stop": "04:05.64", - "speaker": "Tutor", - "dialogue": "Do you see a constant rate anywhere else where the increase is happening?" - }, - { - "start": "04:07.16", - "stop": "04:07.32", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "04:07.44", - "stop": "04:13.60", - "speaker": "Tutor", - "dialogue": "E to F, from E to f, it's constant or not, Co, B to C is constant." - }, - { - "start": "04:16.76", - "stop": "04:16.80", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "04:17.08", - "stop": "04:19.20", - "speaker": "Tutor", - "dialogue": "E to F and B to C is constant." - }, - { - "start": "04:19.28", - "stop": "04:22.44", - "speaker": "Tutor", - "dialogue": "Are there any other constant, increases or decreases or rates?" - }, - { - "start": "04:25.76", - "stop": "04:25.96", - "speaker": "Student", - "dialogue": "Only." - }, - { - "start": "04:26.16", - "stop": "04:27.52", - "speaker": "Tutor", - "dialogue": "B and C is constant." - }, - { - "start": "04:30.00", - "stop": "04:30.04", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "04:30.36", - "stop": "04:52.28", - "speaker": "Tutor", - "dialogue": "From B to C, the distance is constant, but from and from D to E, the distance is not constant, But what would you say about C to D is the distance increasing at a constant rate, or not a constant rate there?" - }, - { - "start": "04:55.20", - "stop": "04:55.24", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "04:55.44", - "stop": "04:57.32", - "speaker": "Tutor", - "dialogue": "Is not increasing in a constant rate?" - }, - { - "start": "04:57.72", - "stop": "05:00.16", - "speaker": "Tutor", - "dialogue": "How come what would make it be at a constant rate?" - }, - { - "start": "05:02.00", - "stop": "05:02.24", - "speaker": "Student", - "dialogue": "You're" - }, - { - "start": "05:02.28", - "stop": "05:05.52", - "speaker": "Tutor", - "dialogue": "Not going the same mild per hour." - }, - { - "start": "05:07.44", - "stop": "05:07.60", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "05:07.72", - "stop": "05:09.24", - "speaker": "Tutor", - "dialogue": "You just talked about something different." - }, - { - "start": "05:09.28", - "stop": "05:10.40", - "speaker": "Tutor", - "dialogue": "Now you're talking about hours." - }, - { - "start": "05:10.52", - "stop": "05:12.92", - "speaker": "Tutor", - "dialogue": "Tell me where you see hours, and what's happening with that." - }, - { - "start": "05:16.12", - "stop": "05:16.28", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "05:16.32", - "stop": "05:20.08", - "speaker": "Tutor", - "dialogue": "They're not going at the same distant per miles." - }, - { - "start": "05:22.84", - "stop": "05:22.88", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "05:23.36", - "stop": "05:27.20", - "speaker": "Tutor", - "dialogue": "Now you switched it, So is it distance per miles or distance per hour?" - }, - { - "start": "05:27.36", - "stop": "05:32.32", - "speaker": "Tutor", - "dialogue": "Are those the same thing or different per hours per miles per miles?" - }, - { - "start": "05:32.48", - "stop": "05:41.64", - "speaker": "Tutor", - "dialogue": "Okay, so from C to D are the miles increasing decreasing or staying the same increasing increasing." - }, - { - "start": "05:42.48", - "stop": "05:45.56", - "speaker": "Tutor", - "dialogue": "But you're saying they're not increasing at a constant rate." - }, - { - "start": "05:46.28", - "stop": "05:50.48", - "speaker": "Tutor", - "dialogue": "It's only constant from B to C. Yeah, because it's flat." - }, - { - "start": "05:50.68", - "stop": "05:51.36", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "05:51.48", - "stop": "05:53.08", - "speaker": "Tutor", - "dialogue": "we're going to experiment with that some more." - }, - { - "start": "05:53.68", - "stop": "05:54.48", - "speaker": "Tutor", - "dialogue": "We'll come back to it." - }, - { - "start": "05:54.64", - "stop": "05:54.88", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "05:56.00", - "stop": "06:07.20", - "speaker": "Tutor", - "dialogue": "I'm going ask you now to use your cursor to go to the map and show how the car is moving in this journey." - }, - { - "start": "06:20.88", - "stop": "06:21.16", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "06:21.64", - "stop": "06:23.20", - "speaker": "Tutor", - "dialogue": "So you started in Newark?" - }, - { - "start": "06:24.32", - "stop": "06:26.08", - "speaker": "Tutor", - "dialogue": "Yeah, and went all the way up to Providence." - }, - { - "start": "06:27.88", - "stop": "06:31.20", - "speaker": "Tutor", - "dialogue": "That's one way the car could travel in this situation." - }, - { - "start": "06:31.52", - "stop": "06:33.96", - "speaker": "Tutor", - "dialogue": "The car is actually going to be starting in Providence." - }, - { - "start": "06:36.84", - "stop": "06:36.88", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "06:37.84", - "stop": "06:39.40", - "speaker": "Tutor", - "dialogue": "Let's pretend that we get in a car." - }, - { - "start": "06:39.64", - "stop": "06:42.80", - "speaker": "Tutor", - "dialogue": "We're in Providence now, and show me how the car would travel." - }, - { - "start": "06:51.52", - "stop": "06:51.56", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "06:51.64", - "stop": "06:52.44", - "speaker": "Tutor", - "dialogue": "It going to travel." - }, - { - "start": "06:52.96", - "stop": "06:55.60", - "speaker": "Tutor", - "dialogue": "You stopped a little bit, and I didn't know if that's because you were." - }, - { - "start": "06:55.72", - "stop": "06:55.88", - "speaker": "Tutor", - "dialogue": "just." - }, - { - "start": "06:55.96", - "stop": "06:56.08", - "speaker": "Tutor", - "dialogue": "you know." - }, - { - "start": "06:56.20", - "stop": "06:57.52", - "speaker": "Tutor", - "dialogue": "the mouse is a little bit tricky." - }, - { - "start": "06:57.88", - "stop": "07:05.16", - "speaker": "Tutor", - "dialogue": "Or if you were trying to show me, Is the car goinga travel at the same all way down, or is it going to change at all?" - }, - { - "start": "07:21.24", - "stop": "07:21.52", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "07:21.72", - "stop": "07:25.36", - "speaker": "Tutor", - "dialogue": "Now use your words to tell me what's happening as you're moving your cursor." - }, - { - "start": "07:39.88", - "stop": "07:39.92", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "07:40.12", - "stop": "07:46.80", - "speaker": "Tutor", - "dialogue": "It's always cool to say I'm not sure or I need some more time to think, N." - }, - { - "start": "08:10.16", - "stop": "08:10.32", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "08:10.36", - "stop": "08:11.36", - "speaker": "Tutor", - "dialogue": "You repeat the question." - }, - { - "start": "08:11.72", - "stop": "08:24.00", - "speaker": "Tutor", - "dialogue": "Sure, Yes, So you are pretending to be the car, and I'm asking you, as you think about the map and the graph, how would the car be traveling?" - }, - { - "start": "08:24.20", - "stop": "08:27.16", - "speaker": "Tutor", - "dialogue": "show me how the car is traveling using your cursor." - }, - { - "start": "08:28.96", - "stop": "08:29.00", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "08:29.16", - "stop": "08:40.08", - "speaker": "Tutor", - "dialogue": "Then use your words to explain why, like, for example, on the graph, you told me something happens at B to C. How could you show that on the map?" - }, - { - "start": "08:44.60", - "stop": "08:44.80", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "08:44.92", - "stop": "08:47.40", - "speaker": "Tutor", - "dialogue": "A to B, they go really fast and then." - }, - { - "start": "08:49.28", - "stop": "08:49.32", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "08:49.44", - "stop": "08:53.00", - "speaker": "Tutor", - "dialogue": "Then when it gets to hour one, they start." - }, - { - "start": "08:55.04", - "stop": "08:55.48", - "speaker": "Student", - "dialogue": "Traveling." - }, - { - "start": "08:55.68", - "stop": "08:56.92", - "speaker": "Tutor", - "dialogue": "At the same mile." - }, - { - "start": "09:06.32", - "stop": "09:06.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "09:06.48", - "stop": "09:06.68", - "speaker": "Tutor", - "dialogue": "Then." - }, - { - "start": "09:06.80", - "stop": "09:07.00", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "09:07.40", - "stop": "09:08.12", - "speaker": "Tutor", - "dialogue": "D to e." - }, - { - "start": "09:19.92", - "stop": "09:20.08", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "09:20.16", - "stop": "09:21.24", - "speaker": "Tutor", - "dialogue": "From E to f." - }, - { - "start": "09:27.68", - "stop": "09:27.80", - "speaker": "Student", - "dialogue": "They." - }, - { - "start": "09:28.08", - "stop": "09:30.04", - "speaker": "Tutor", - "dialogue": "Start to increase their miile." - }, - { - "start": "09:31.04", - "stop": "09:37.48", - "speaker": "Tutor", - "dialogue": "Okay, so as you're driving along here, you're thinking about how the distance is changing." - }, - { - "start": "09:37.72", - "stop": "09:38.68", - "speaker": "Tutor", - "dialogue": "Is what I hear you saying." - }, - { - "start": "09:39.44", - "stop": "09:57.08", - "speaker": "Tutor", - "dialogue": "You're thinking about they, the distance they're driving some miles and then they get to a point and the miles stop or they stay the same and then the miles increase some more, and then something happens at that squiggly line and then from E to F. the miles increase some more." - }, - { - "start": "09:57.60", - "stop": "09:58.44", - "speaker": "Tutor", - "dialogue": "Is that what you're saying?" - }, - { - "start": "09:59.20", - "stop": "10:00.08", - "speaker": "Tutor", - "dialogue": "Yeah, cool." - }, - { - "start": "10:00.44", - "stop": "10:03.28", - "speaker": "Tutor", - "dialogue": "Now we're going to do the same thing thinking about time." - }, - { - "start": "10:04.20", - "stop": "10:13.44", - "speaker": "Tutor", - "dialogue": "So you have been explaining how distance and miles change in this situation, and you're using some really good math language that I want you to keep using." - }, - { - "start": "10:13.64", - "stop": "10:21.16", - "speaker": "Tutor", - "dialogue": "I'm going to type them up here so we can remember, and that is increasing, decreasing or staying the same." - }, - { - "start": "10:24.36", - "stop": "10:24.52", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "10:25.20", - "stop": "10:36.04", - "speaker": "Tutor", - "dialogue": "So you've talked about distance from A to B is increasing distance from B to C is staying the same distance from C to D is increasing." - }, - { - "start": "10:37.00", - "stop": "10:40.76", - "speaker": "Tutor", - "dialogue": "Something happens here and then E to f. distance is increasing." - }, - { - "start": "10:41.64", - "stop": "10:50.68", - "speaker": "Tutor", - "dialogue": "And I want you to use that same thing to talk about this variable as you think about what's happening with time in this situation from each of these segments." - }, - { - "start": "10:50.84", - "stop": "10:53.72", - "speaker": "Tutor", - "dialogue": "Is it increasing, decreasing or staying the same?" - }, - { - "start": "10:54.52", - "stop": "10:55.72", - "speaker": "Tutor", - "dialogue": "Do you understand the question?" - }, - { - "start": "10:57.72", - "stop": "10:57.76", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "10:58.32", - "stop": "10:58.48", - "speaker": "Tutor", - "dialogue": "Ok." - }, - { - "start": "11:34.16", - "stop": "11:34.32", - "speaker": "Student", - "dialogue": "Tell." - }, - { - "start": "11:34.36", - "stop": "11:35.80", - "speaker": "Tutor", - "dialogue": "Me what you're thinking about right now?" - }, - { - "start": "11:38.76", - "stop": "11:38.96", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "11:39.32", - "stop": "11:39.64", - "speaker": "Tutor", - "dialogue": "Time." - }, - { - "start": "11:43.16", - "stop": "11:43.28", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "11:43.36", - "stop": "11:47.68", - "speaker": "Tutor", - "dialogue": "Time goes by. The distance is increasing." - }, - { - "start": "11:48.96", - "stop": "11:51.72", - "speaker": "Tutor", - "dialogue": "Ah, so now you're starting to think about em both together." - }, - { - "start": "11:53.72", - "stop": "11:53.96", - "speaker": "Student", - "dialogue": "Let's." - }, - { - "start": "11:54.60", - "stop": "11:56.28", - "speaker": "Tutor", - "dialogue": "We're going to get to that that's really cool." - }, - { - "start": "11:57.16", - "stop": "12:02.44", - "speaker": "Tutor", - "dialogue": "Just describe time from A to B. What happens from A to b with time?" - }, - { - "start": "12:10.40", - "stop": "12:10.60", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "12:10.68", - "stop": "12:13.04", - "speaker": "Tutor", - "dialogue": "It increase, decrease, or stay the same." - }, - { - "start": "12:16.76", - "stop": "12:16.80", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "12:17.08", - "stop": "12:21.48", - "speaker": "Tutor", - "dialogue": "Increase, so time increases from A to B." - }, - { - "start": "12:23.16", - "stop": "12:23.36", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "12:23.48", - "stop": "12:27.92", - "speaker": "Tutor", - "dialogue": "B to C does time increase decrease or stay the same?" - }, - { - "start": "12:30.16", - "stop": "12:30.28", - "speaker": "Student", - "dialogue": "They." - }, - { - "start": "12:30.44", - "stop": "12:31.48", - "speaker": "Tutor", - "dialogue": "Stay the same Ok." - }, - { - "start": "12:31.80", - "stop": "12:34.60", - "speaker": "Tutor", - "dialogue": "Keep going and then from C to D." - }, - { - "start": "12:36.48", - "stop": "12:36.52", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "12:36.76", - "stop": "12:47.24", - "speaker": "Tutor", - "dialogue": "They increase and from D to E, they increase and decrease at the same time, and from E to F, they increase." - }, - { - "start": "12:48.16", - "stop": "12:50.20", - "speaker": "Tutor", - "dialogue": "And what's the way you're describing" - }, - { - "start": "12:50.28", - "stop": "12:52.64", - "speaker": "Tutor", - "dialogue": "when you say E to f, they increase." - }, - { - "start": "12:52.84", - "stop": "12:54.84", - "speaker": "Tutor", - "dialogue": "What increases the mile?" - }, - { - "start": "12:55.96", - "stop": "12:56.96", - "speaker": "Tutor", - "dialogue": "What about time?" - }, - { - "start": "13:10.96", - "stop": "13:11.20", - "speaker": "Student", - "dialogue": "Time." - }, - { - "start": "13:11.28", - "stop": "13:12.72", - "speaker": "Tutor", - "dialogue": "Increase to Okay." - }, - { - "start": "13:13.28", - "stop": "13:18.16", - "speaker": "Tutor", - "dialogue": "So in a complete sentence using the variable of time." - }, - { - "start": "13:20.68", - "stop": "13:20.84", - "speaker": "Student", - "dialogue": "Tell." - }, - { - "start": "13:20.88", - "stop": "13:24.08", - "speaker": "Tutor", - "dialogue": "Me, what happens with time from C to D?" - }, - { - "start": "13:27.80", - "stop": "13:27.84", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "13:28.04", - "stop": "13:31.84", - "speaker": "Tutor", - "dialogue": "Time increases as the mile increas beautiful." - }, - { - "start": "13:32.48", - "stop": "13:34.20", - "speaker": "Tutor", - "dialogue": "Now we're going to yep, put that together." - }, - { - "start": "13:34.72", - "stop": "13:50.12", - "speaker": "Tutor", - "dialogue": "So instead of saying it or they, I know, in your mind you're thinking about something, but I, I can't tell what it is right unless you tell me you're talking about miles or distance or time or hours." - }, - { - "start": "13:51.52", - "stop": "13:51.64", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "13:51.72", - "stop": "13:52.32", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "13:53.72", - "stop": "13:54.40", - "speaker": "Tutor", - "dialogue": "So do you know how?" - }, - { - "start": "13:54.48", - "stop": "13:58.08", - "speaker": "Tutor", - "dialogue": "in math at the end of a story problem they always say, label your answer." - }, - { - "start": "13:59.76", - "stop": "13:59.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "13:59.96", - "stop": "14:04.12", - "speaker": "Tutor", - "dialogue": "They're like, Did you get fourteen cats or fourteen dogs or fourteen hours?" - }, - { - "start": "14:04.32", - "stop": "14:04.36", - "speaker": "Tutor", - "dialogue": "Or" - }, - { - "start": "14:04.84", - "stop": "14:05.60", - "speaker": "Tutor", - "dialogue": "what's the label?" - }, - { - "start": "14:05.80", - "stop": "14:06.60", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "14:07.20", - "stop": "14:11.00", - "speaker": "Tutor", - "dialogue": "Yeah, I want you, whether we're working together or any time" - }, - { - "start": "14:11.04", - "stop": "14:12.12", - "speaker": "Tutor", - "dialogue": "you're thinking about math." - }, - { - "start": "14:12.60", - "stop": "14:22.64", - "speaker": "Tutor", - "dialogue": "What are you keeping track of whenever you are talking about the amount of something, so always talk about the like." - }, - { - "start": "14:23.96", - "stop": "14:27.04", - "speaker": "Tutor", - "dialogue": "The time is increasing instead of it or they." - }, - { - "start": "14:27.48", - "stop": "14:28.60", - "speaker": "Tutor", - "dialogue": "It'll really help grow." - }, - { - "start": "14:28.76", - "stop": "14:29.88", - "speaker": "Tutor", - "dialogue": "That part of your math brain." - }, - { - "start": "14:30.44", - "stop": "14:31.28", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "14:31.92", - "stop": "14:33.36", - "speaker": "Tutor", - "dialogue": "Yeah, okay, cool." - }, - { - "start": "14:33.44", - "stop": "14:36.04", - "speaker": "Tutor", - "dialogue": "you're doing a great job of helping me understand how you're thinking." - }, - { - "start": "14:36.12", - "stop": "14:36.80", - "speaker": "Tutor", - "dialogue": "This is awesome." - }, - { - "start": "14:37.76", - "stop": "14:42.96", - "speaker": "Tutor", - "dialogue": "All right, So now we're going to start labeling the mapcause." - }, - { - "start": "14:43.00", - "stop": "14:43.84", - "speaker": "Tutor", - "dialogue": "There's a lot going on" - }, - { - "start": "14:43.96", - "stop": "14:50.08", - "speaker": "Tutor", - "dialogue": "here, right, you said as distance or as yeah, as distance in is increasing." - }, - { - "start": "14:50.44", - "stop": "14:51.80", - "speaker": "Tutor", - "dialogue": "Time is also increasing." - }, - { - "start": "14:52.28", - "stop": "14:53.68", - "speaker": "Tutor", - "dialogue": "Oh, there's a lot to keep track of." - }, - { - "start": "14:53.88", - "stop": "14:55.32", - "speaker": "Tutor", - "dialogue": "So let's go back to our map." - }, - { - "start": "14:56.68", - "stop": "15:00.80", - "speaker": "Tutor", - "dialogue": "And where would point A be on the map?" - }, - { - "start": "15:02.40", - "stop": "15:02.64", - "speaker": "Tutor", - "dialogue": "And you?" - }, - { - "start": "15:03.32", - "stop": "15:06.68", - "speaker": "Tutor", - "dialogue": "Yep, you can use the pencil drawing or the text drawing to label it." - }, - { - "start": "15:10.96", - "stop": "15:11.00", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "15:11.12", - "stop": "15:12.72", - "speaker": "Tutor", - "dialogue": "The text tool, I guess I should say." - }, - { - "start": "15:15.84", - "stop": "15:16.12", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "15:16.24", - "stop": "15:19.56", - "speaker": "Tutor", - "dialogue": "I see your point now, because we're going to be labeling a lot of points." - }, - { - "start": "15:20.96", - "stop": "15:23.76", - "speaker": "Tutor", - "dialogue": "Write what letter that is, so we can remember it when we come back." - }, - { - "start": "15:30.08", - "stop": "15:30.20", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "15:30.28", - "stop": "15:31.40", - "speaker": "Tutor", - "dialogue": "Right, keep going." - }, - { - "start": "15:31.88", - "stop": "15:37.12", - "speaker": "Tutor", - "dialogue": "Keep labeling the map to show where you see the relationship between the map and the graph." - }, - { - "start": "15:41.92", - "stop": "15:42.12", - "speaker": "Student", - "dialogue": "Over." - }, - { - "start": "15:42.24", - "stop": "15:42.40", - "speaker": "Tutor", - "dialogue": "Here." - }, - { - "start": "16:29.56", - "stop": "16:29.72", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "16:29.96", - "stop": "16:32.08", - "speaker": "Tutor", - "dialogue": "Using any of the words that I'm circling." - }, - { - "start": "16:34.24", - "stop": "16:34.44", - "speaker": "Student", - "dialogue": "Help." - }, - { - "start": "16:34.52", - "stop": "16:38.32", - "speaker": "Tutor", - "dialogue": "Me understand why you put the pointsre them." - }, - { - "start": "17:05.60", - "stop": "17:05.64", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "17:05.76", - "stop": "17:06.84", - "speaker": "Tutor", - "dialogue": "You understand the question?" - }, - { - "start": "17:09.24", - "stop": "17:12.00", - "speaker": "Tutor", - "dialogue": "Yep, so at any point you can tell me wait." - }, - { - "start": "17:12.12", - "stop": "17:14.12", - "speaker": "Tutor", - "dialogue": "I'm not sure or okay." - }, - { - "start": "17:14.24", - "stop": "17:15.00", - "speaker": "Tutor", - "dialogue": "Let me think about that." - }, - { - "start": "17:15.16", - "stop": "17:16.08", - "speaker": "Tutor", - "dialogue": "I need some more time." - }, - { - "start": "17:16.52", - "stop": "17:18.88", - "speaker": "Tutor", - "dialogue": "or I'm not sure what you're askingcuse." - }, - { - "start": "17:19.08", - "stop": "17:20.40", - "speaker": "Tutor", - "dialogue": "is totally your time, okay?" - }, - { - "start": "17:22.52", - "stop": "17:22.56", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "17:24.12", - "stop": "17:33.28", - "speaker": "Tutor", - "dialogue": "You did a great job of predicting where you think some points would be, and you labeled from the graph to the map." - }, - { - "start": "17:34.04", - "stop": "17:59.76", - "speaker": "Tutor", - "dialogue": "Now I'm asking you to justify why you put your points where you did and as you describe why you put your point, For example, A, I put point a here because blank, I put point b here, because blank, and try to use some of these words that I circled in your as you justify it to me." - }, - { - "start": "18:02.12", - "stop": "18:02.44", - "speaker": "Student", - "dialogue": "Point." - }, - { - "start": "18:02.68", - "stop": "18:07.72", - "speaker": "Tutor", - "dialogue": "Is increasing because the route shows." - }, - { - "start": "18:15.52", - "stop": "18:15.96", - "speaker": "Student", - "dialogue": "Shows." - }, - { - "start": "18:16.12", - "stop": "18:17.36", - "speaker": "Tutor", - "dialogue": "Like a little." - }, - { - "start": "18:32.72", - "stop": "18:32.76", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "18:33.04", - "stop": "18:35.52", - "speaker": "Tutor", - "dialogue": "Point A is right here, and what's happening right here." - }, - { - "start": "18:38.52", - "stop": "18:38.76", - "speaker": "Student", - "dialogue": "Point." - }, - { - "start": "18:38.84", - "stop": "18:41.80", - "speaker": "Tutor", - "dialogue": "As starting point, exactly great thinking." - }, - { - "start": "18:42.36", - "stop": "18:47.08", - "speaker": "Tutor", - "dialogue": "so point A is where this journey starts on the map." - }, - { - "start": "18:48.00", - "stop": "18:49.08", - "speaker": "Tutor", - "dialogue": "It starts in Providence." - }, - { - "start": "18:49.08", - "stop": "18:49.32", - "speaker": "Tutor", - "dialogue": "Be caause." - }, - { - "start": "18:49.36", - "stop": "18:52.24", - "speaker": "Tutor", - "dialogue": "That's what it tells us up here on the graph." - }, - { - "start": "18:52.64", - "stop": "18:53.88", - "speaker": "Tutor", - "dialogue": "It starts at the origin." - }, - { - "start": "18:56.64", - "stop": "18:56.84", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "18:57.00", - "stop": "18:59.68", - "speaker": "Tutor", - "dialogue": "B, why did you put B where you put it?" - }, - { - "start": "19:02.00", - "stop": "19:02.32", - "speaker": "Student", - "dialogue": "Because." - }, - { - "start": "19:02.40", - "stop": "19:08.44", - "speaker": "Tutor", - "dialogue": "It shows the distance, and on the map it shows a little curve." - }, - { - "start": "19:11.20", - "stop": "19:11.24", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "19:11.60", - "stop": "19:13.04", - "speaker": "Tutor", - "dialogue": "This curve meant something to you." - }, - { - "start": "19:14.00", - "stop": "19:20.56", - "speaker": "Tutor", - "dialogue": "Yeah, it shows that they're traveling Ok, and they're travelling all along." - }, - { - "start": "19:21.00", - "stop": "19:24.28", - "speaker": "Tutor", - "dialogue": "This is a road or the highway or the interstate." - }, - { - "start": "19:24.68", - "stop": "19:26.16", - "speaker": "Tutor", - "dialogue": "Thats taking them on their journey." - }, - { - "start": "19:26.56", - "stop": "19:32.96", - "speaker": "Tutor", - "dialogue": "So there's a curve in the road, but there's not a curve on the graph." - }, - { - "start": "19:33.96", - "stop": "19:34.68", - "speaker": "Tutor", - "dialogue": "Does that matter?" - }, - { - "start": "19:38.76", - "stop": "19:41.60", - "speaker": "Student", - "dialogue": "Yeahan." - }, - { - "start": "19:43.84", - "stop": "19:43.88", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "19:44.24", - "stop": "19:44.48", - "speaker": "Student", - "dialogue": "Road." - }, - { - "start": "19:44.64", - "stop": "19:44.80", - "speaker": "Tutor", - "dialogue": "Does?" - }, - { - "start": "19:44.92", - "stop": "19:45.20", - "speaker": "Student", - "dialogue": "Matter." - }, - { - "start": "19:45.28", - "stop": "19:46.08", - "speaker": "Tutor", - "dialogue": "Because it shows." - }, - { - "start": "19:48.84", - "stop": "19:48.88", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "19:49.96", - "stop": "20:01.92", - "speaker": "Tutor", - "dialogue": "They're'm" - }, - { - "start": "20:02.28", - "stop": "20:02.44", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "20:02.48", - "stop": "20:02.88", - "speaker": "Tutor", - "dialogue": "Not sure." - }, - { - "start": "20:04.72", - "stop": "20:09.92", - "speaker": "Tutor", - "dialogue": "So you put point B here because there's a curve and you said it shows that they're traveling." - }, - { - "start": "20:10.72", - "stop": "20:12.48", - "speaker": "Tutor", - "dialogue": "Yeah, how far have they traveled?" - }, - { - "start": "20:14.44", - "stop": "20:14.80", - "speaker": "Student", - "dialogue": "Fifty." - }, - { - "start": "20:14.88", - "stop": "20:15.20", - "speaker": "Tutor", - "dialogue": "Miles." - }, - { - "start": "20:17.36", - "stop": "20:17.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "20:17.76", - "stop": "20:19.84", - "speaker": "Tutor", - "dialogue": "Label that so we can keep track of that too." - }, - { - "start": "20:20.48", - "stop": "20:23.68", - "speaker": "Tutor", - "dialogue": "From A to B, they traveled fifty miles." - }, - { - "start": "20:33.32", - "stop": "20:33.36", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "20:33.52", - "stop": "20:35.08", - "speaker": "Tutor", - "dialogue": "Have great handwriting with a mouse." - }, - { - "start": "20:36.56", - "stop": "20:37.04", - "speaker": "Tutor", - "dialogue": "Way to go." - }, - { - "start": "20:38.48", - "stop": "20:42.12", - "speaker": "Tutor", - "dialogue": "Okay, so from A to B, they traveled fifty miles." - }, - { - "start": "20:44.48", - "stop": "20:44.52", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "20:44.64", - "stop": "20:46.60", - "speaker": "Tutor", - "dialogue": "Then you put point C down here." - }, - { - "start": "20:48.64", - "stop": "20:48.88", - "speaker": "Student", - "dialogue": "Keep." - }, - { - "start": "20:48.96", - "stop": "20:52.44", - "speaker": "Tutor", - "dialogue": "Going explain to me why point C is there, and what would you label?" - }, - { - "start": "20:57.40", - "stop": "20:57.72", - "speaker": "Student", - "dialogue": "Fifty." - }, - { - "start": "20:57.80", - "stop": "21:01.96", - "speaker": "Tutor", - "dialogue": "Miles, how do you know they traveleed another fifty miles from B to C?" - }, - { - "start": "21:14.80", - "stop": "21:15.12", - "speaker": "Student", - "dialogue": "Because." - }, - { - "start": "21:15.24", - "stop": "21:20.80", - "speaker": "Tutor", - "dialogue": "It shows a constant rate and and C is not." - }, - { - "start": "21:24.32", - "stop": "21:24.36", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "21:24.68", - "stop": "21:29.56", - "speaker": "Tutor", - "dialogue": "Is pointed C's on Um, fifty miles on the graund." - }, - { - "start": "21:29.96", - "stop": "21:33.16", - "speaker": "Tutor", - "dialogue": "Ah, so it's right here Earlier." - }, - { - "start": "21:33.32", - "stop": "21:37.68", - "speaker": "Tutor", - "dialogue": "when we were talking, you said from B to C, they stayed the same" - }, - { - "start": "21:38.88", - "stop": "21:43.16", - "speaker": "Tutor", - "dialogue": "And when I asked you how many miles that was you said that wasn't any miles." - }, - { - "start": "21:45.52", - "stop": "21:45.56", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "21:45.80", - "stop": "21:46.44", - "speaker": "Tutor", - "dialogue": "Which is it?" - }, - { - "start": "21:46.80", - "stop": "21:54.12", - "speaker": "Tutor", - "dialogue": "did they travel fifty miles from B to Ca, Or did the car stay the same and not travel any miles from B to C?" - }, - { - "start": "21:54.64", - "stop": "21:59.56", - "speaker": "Tutor", - "dialogue": "This is really cool thinking the car didn't travel, stayed at fifty miles." - }, - { - "start": "22:00.16", - "stop": "22:04.60", - "speaker": "Tutor", - "dialogue": "Ah, So it from B to C. it didn't travel." - }, - { - "start": "22:04.88", - "stop": "22:06.24", - "speaker": "Tutor", - "dialogue": "It stayed at Milemrker." - }, - { - "start": "22:06.80", - "stop": "22:08.04", - "speaker": "Tutor", - "dialogue": "Fifty, Is what you're saying." - }, - { - "start": "22:08.68", - "stop": "22:13.36", - "speaker": "Tutor", - "dialogue": "Yeah, Okay, so would C be located here?" - }, - { - "start": "22:15.68", - "stop": "22:15.72", - "speaker": "Student", - "dialogue": "S." - }, - { - "start": "22:15.92", - "stop": "22:17.04", - "speaker": "Tutor", - "dialogue": "Would be located Would be." - }, - { - "start": "22:18.64", - "stop": "22:25.36", - "speaker": "Tutor", - "dialogue": "tell me why it can be at the same point, Because they didn't travel any miles." - }, - { - "start": "22:25.92", - "stop": "22:27.52", - "speaker": "Tutor", - "dialogue": "Cool, good explanation." - }, - { - "start": "22:28.40", - "stop": "22:29.24", - "speaker": "Tutor", - "dialogue": "You can change it." - }, - { - "start": "22:29.48", - "stop": "22:31.08", - "speaker": "Tutor", - "dialogue": "Are we allowed to change our minds in math?" - }, - { - "start": "22:33.32", - "stop": "22:33.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "22:33.72", - "stop": "22:38.24", - "speaker": "Tutor", - "dialogue": "Yeah, it's just like when we're writing a paper, or we're creating something in art." - }, - { - "start": "22:39.04", - "stop": "22:41.24", - "speaker": "Tutor", - "dialogue": "If we want to change it, we can change." - }, - { - "start": "22:41.28", - "stop": "22:44.32", - "speaker": "Tutor", - "dialogue": "It can change our draft and evolve, so go cool." - }, - { - "start": "22:44.64", - "stop": "22:46.84", - "speaker": "Tutor", - "dialogue": "So remember when we talked about how to use the eraser tool?" - }, - { - "start": "22:51.80", - "stop": "22:52.04", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "22:52.40", - "stop": "22:56.16", - "speaker": "Tutor", - "dialogue": "So you want to click on the top arrow?" - }, - { - "start": "22:56.76", - "stop": "22:58.16", - "speaker": "Tutor", - "dialogue": "That's going to be the select tool?" - }, - { - "start": "22:58.64", - "stop": "23:03.40", - "speaker": "Tutor", - "dialogue": "Select what you want to erase and then click the erase button." - }, - { - "start": "23:04.40", - "stop": "23:04.84", - "speaker": "Tutor", - "dialogue": "There you go." - }, - { - "start": "23:06.36", - "stop": "23:10.48", - "speaker": "Tutor", - "dialogue": "perfect O, or you can just move your seat to where you want it now." - }, - { - "start": "23:22.36", - "stop": "23:22.64", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "23:22.80", - "stop": "23:27.60", - "speaker": "Tutor", - "dialogue": "Okay, so B and C are at the same point, because the car has traveled fifty miles." - }, - { - "start": "23:30.68", - "stop": "23:30.92", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "23:31.64", - "stop": "23:35.00", - "speaker": "Tutor", - "dialogue": "Would point D be located and hy?" - }, - { - "start": "23:36.44", - "stop": "23:36.48", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "23:36.84", - "stop": "23:40.48", - "speaker": "Tutor", - "dialogue": "They located here because they." - }, - { - "start": "23:43.32", - "stop": "23:43.68", - "speaker": "Student", - "dialogue": "Because." - }, - { - "start": "23:47.04", - "stop": "23:47.08", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "23:47.24", - "stop": "23:47.48", - "speaker": "Student", - "dialogue": "Mile." - }, - { - "start": "23:47.68", - "stop": "23:58.48", - "speaker": "Tutor", - "dialogue": "Increase by how much Iy by fifty miles beautiful and you correct, You caught yourself, Huh, you said they, and then you went Miles." - }, - { - "start": "23:58.60", - "stop": "23:59.28", - "speaker": "Tutor", - "dialogue": "That was awesome." - }, - { - "start": "24:00.12", - "stop": "24:02.12", - "speaker": "Tutor", - "dialogue": "so label how you want it to label here." - }, - { - "start": "24:19.48", - "stop": "24:19.80", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "24:22.00", - "stop": "24:22.04", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "24:23.68", - "stop": "24:23.80", - "speaker": "Student", - "dialogue": "May." - }, - { - "start": "24:23.84", - "stop": "24:24.80", - "speaker": "Tutor", - "dialogue": "Ask you a quick question." - }, - { - "start": "24:25.12", - "stop": "24:28.56", - "speaker": "Tutor", - "dialogue": "Is the fifty miles right at this point, or is the fifty miles" - }, - { - "start": "24:28.76", - "stop": "24:34.48", - "speaker": "Tutor", - "dialogue": "this entire section of road from C to D. the entire section cool?" - }, - { - "start": "24:34.56", - "stop": "24:36.16", - "speaker": "Tutor", - "dialogue": "I just want to see how you say it cool." - }, - { - "start": "24:36.20", - "stop": "24:36.84", - "speaker": "Tutor", - "dialogue": "Now keep going." - }, - { - "start": "24:39.92", - "stop": "24:39.96", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "24:40.28", - "stop": "24:50.96", - "speaker": "Tutor", - "dialogue": "D Es plotted here because it shows that they increase, but also decrease the, and they also stay at the same." - }, - { - "start": "24:54.20", - "stop": "24:54.40", - "speaker": "Student", - "dialogue": "Rate." - }, - { - "start": "24:54.88", - "stop": "24:56.12", - "speaker": "Tutor", - "dialogue": "Because over here." - }, - { - "start": "24:58.84", - "stop": "24:58.88", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "24:59.04", - "stop": "25:01.48", - "speaker": "Tutor", - "dialogue": "Different from this." - }, - { - "start": "25:03.44", - "stop": "25:03.68", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "25:03.76", - "stop": "25:07.04", - "speaker": "Tutor", - "dialogue": "So you're saying a lot in here and I want to make sure I really understand it?" - }, - { - "start": "25:08.20", - "stop": "25:10.52", - "speaker": "Tutor", - "dialogue": "You said they stay the same and it's different." - }, - { - "start": "25:10.60", - "stop": "25:13.96", - "speaker": "Tutor", - "dialogue": "Can you be more specific with what's the same and what's different?" - }, - { - "start": "25:17.04", - "stop": "25:17.16", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "25:17.24", - "stop": "25:25.48", - "speaker": "Tutor", - "dialogue": "From D to E, the miles change, they, um, increase and decrease." - }, - { - "start": "25:27.80", - "stop": "25:28.12", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "25:29.00", - "stop": "25:34.20", - "speaker": "Tutor", - "dialogue": "Overall, from D to E, how much does the car increase in miles?" - }, - { - "start": "25:43.76", - "stop": "25:44.04", - "speaker": "Student", - "dialogue": "About." - }, - { - "start": "25:44.16", - "stop": "25:52.92", - "speaker": "Tutor", - "dialogue": "A hundred and forty miles Did they go A hundred and forty miles just from D to E. Oh forty mile, about forty miles." - }, - { - "start": "25:53.04", - "stop": "26:00.32", - "speaker": "Tutor", - "dialogue": "Ah, so they've gone a hundred and forty miles from the entire start, but D to E is only about forty miles." - }, - { - "start": "26:02.20", - "stop": "26:02.48", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "26:02.80", - "stop": "26:04.72", - "speaker": "Tutor", - "dialogue": "K, so you can label that how you want to." - }, - { - "start": "26:21.12", - "stop": "26:21.16", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "26:21.32", - "stop": "26:22.32", - "speaker": "Tutor", - "dialogue": "Then from E to f." - }, - { - "start": "26:24.80", - "stop": "26:24.84", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "26:25.16", - "stop": "26:26.96", - "speaker": "Tutor", - "dialogue": "To shows an increase." - }, - { - "start": "26:31.40", - "stop": "26:31.56", - "speaker": "Student", - "dialogue": "By." - }, - { - "start": "26:31.68", - "stop": "26:32.08", - "speaker": "Tutor", - "dialogue": "How much?" - }, - { - "start": "26:35.48", - "stop": "26:36.08", - "speaker": "Student", - "dialogue": "Abouten." - }, - { - "start": "26:40.20", - "stop": "26:40.40", - "speaker": "Tutor", - "dialogue": "Good." - }, - { - "start": "26:40.52", - "stop": "26:40.68", - "speaker": "Student", - "dialogue": "Job." - }, - { - "start": "26:40.76", - "stop": "26:41.84", - "speaker": "Tutor", - "dialogue": "Of using those mathwords." - }, - { - "start": "26:51.92", - "stop": "26:51.96", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "26:52.20", - "stop": "26:54.60", - "speaker": "Tutor", - "dialogue": "You have labeled how the distance." - }, - { - "start": "26:56.56", - "stop": "26:56.60", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "26:56.80", - "stop": "27:07.64", - "speaker": "Tutor", - "dialogue": "Miles has increased in different sections of the journey and the graph is keeping track of how distance is changing on this vertical axis." - }, - { - "start": "27:09.88", - "stop": "27:09.92", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "27:10.24", - "stop": "27:12.16", - "speaker": "Tutor", - "dialogue": "Is happening on the horizontal axis?" - }, - { - "start": "27:15.92", - "stop": "27:16.16", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "27:16.24", - "stop": "27:17.08", - "speaker": "Tutor", - "dialogue": "Happening down here." - }, - { - "start": "27:19.92", - "stop": "27:19.96", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "27:20.16", - "stop": "27:31.12", - "speaker": "Tutor", - "dialogue": "Hours increasing, so the horizontal axis is keeping track of how hours are changing, and you're telling me that the hours are increasing." - }, - { - "start": "27:36.40", - "stop": "27:36.44", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "27:36.60", - "stop": "27:38.52", - "speaker": "Tutor", - "dialogue": "They increase in each section." - }, - { - "start": "27:40.24", - "stop": "27:40.44", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "27:40.56", - "stop": "27:48.04", - "speaker": "Tutor", - "dialogue": "A to b, B to c, C to D, and so on, they increase one hour and." - }, - { - "start": "27:59.16", - "stop": "27:59.20", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "27:59.44", - "stop": "28:01.16", - "speaker": "Tutor", - "dialogue": "Increase one hour." - }, - { - "start": "28:06.64", - "stop": "28:06.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "28:07.12", - "stop": "28:11.52", - "speaker": "Tutor", - "dialogue": "Hours increase by one hour from where?" - }, - { - "start": "28:16.08", - "stop": "28:16.12", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "28:16.28", - "stop": "28:19.92", - "speaker": "Tutor", - "dialogue": "Distance, where you show me where you're seeing" - }, - { - "start": "28:19.96", - "stop": "28:23.12", - "speaker": "Tutor", - "dialogue": "The one hour I hear right there." - }, - { - "start": "28:23.32", - "stop": "28:29.00", - "speaker": "Tutor", - "dialogue": "Okay, so when you use a different color, let's use purple." - }, - { - "start": "28:33.16", - "stop": "28:33.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "28:33.72", - "stop": "28:35.56", - "speaker": "Tutor", - "dialogue": "Hours go from zero to one." - }, - { - "start": "28:38.24", - "stop": "28:38.44", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "28:38.60", - "stop": "28:40.12", - "speaker": "Tutor", - "dialogue": "Point A to point B." - }, - { - "start": "28:42.24", - "stop": "28:42.28", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "28:42.48", - "stop": "28:52.08", - "speaker": "Tutor", - "dialogue": "That means from point A to point B. It took the car one hour to travel from point A to point B." - }, - { - "start": "28:54.48", - "stop": "28:54.64", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "28:54.72", - "stop": "28:55.32", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "28:56.60", - "stop": "29:01.92", - "speaker": "Tutor", - "dialogue": "Ok, and then what happens from point B to point C with ours?" - }, - { - "start": "29:03.60", - "stop": "29:03.80", - "speaker": "Student", - "dialogue": "Our." - }, - { - "start": "29:04.12", - "stop": "29:04.32", - "speaker": "Tutor", - "dialogue": "One." - }, - { - "start": "29:06.68", - "stop": "29:06.84", - "speaker": "Student", - "dialogue": "Our." - }, - { - "start": "29:07.08", - "stop": "29:21.72", - "speaker": "Tutor", - "dialogue": "One and two they stay at the same rate, so from point B to point C, point C would be right there, Rn in a half hour." - }, - { - "start": "29:22.60", - "stop": "29:26.56", - "speaker": "Tutor", - "dialogue": "So how long did it take the car to go from point B to point C?" - }, - { - "start": "29:31.52", - "stop": "29:31.72", - "speaker": "Student", - "dialogue": "Half." - }, - { - "start": "29:31.80", - "stop": "29:33.36", - "speaker": "Tutor", - "dialogue": "An hour, half an hour cool." - }, - { - "start": "29:33.84", - "stop": "29:38.20", - "speaker": "Tutor", - "dialogue": "How long does it take the car to go from point C to point D?" - }, - { - "start": "29:44.92", - "stop": "29:45.04", - "speaker": "Student", - "dialogue": "An." - }, - { - "start": "29:45.08", - "stop": "29:46.12", - "speaker": "Tutor", - "dialogue": "Hour and third minute." - }, - { - "start": "29:46.76", - "stop": "29:47.72", - "speaker": "Tutor", - "dialogue": "show me how you see it." - }, - { - "start": "29:49.52", - "stop": "29:49.64", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "29:49.84", - "stop": "29:58.04", - "speaker": "Tutor", - "dialogue": "St. C starts from half an hour in T, and in two and a half hour." - }, - { - "start": "29:58.48", - "stop": "30:02.96", - "speaker": "Tutor", - "dialogue": "So you're looking from this point to this point." - }, - { - "start": "30:03.80", - "stop": "30:04.96", - "speaker": "Tutor", - "dialogue": "Yeah, yup cool." - }, - { - "start": "30:05.44", - "stop": "30:06.92", - "speaker": "Tutor", - "dialogue": "except this is not a half an hour." - }, - { - "start": "30:08.36", - "stop": "30:09.48", - "speaker": "Tutor", - "dialogue": "What does that keep track?" - }, - { - "start": "30:09.60", - "stop": "30:10.20", - "speaker": "Tutor", - "dialogue": "What is that one?" - }, - { - "start": "30:11.76", - "stop": "30:12.00", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "30:12.08", - "stop": "30:17.28", - "speaker": "Tutor", - "dialogue": "In between one and two, one and a ha, Yeahi, exactly." - }, - { - "start": "30:17.40", - "stop": "30:20.60", - "speaker": "Tutor", - "dialogue": "so that's one point five and that's two point five." - }, - { - "start": "30:21.28", - "stop": "30:24.52", - "speaker": "Tutor", - "dialogue": "So how long does it take the car to go from point C to point D?" - }, - { - "start": "30:25.72", - "stop": "30:26.20", - "speaker": "Tutor", - "dialogue": "One hour?" - }, - { - "start": "30:26.60", - "stop": "30:26.88", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "30:27.56", - "stop": "30:28.88", - "speaker": "Tutor", - "dialogue": "How long does so?" - }, - { - "start": "30:29.28", - "stop": "30:38.16", - "speaker": "Tutor", - "dialogue": "time continues to increase and we look down here on the horizontal axis to see by how much, just like you were doing over here." - }, - { - "start": "30:38.32", - "stop": "30:39.36", - "speaker": "Tutor", - "dialogue": "To look at the distance." - }, - { - "start": "30:40.32", - "stop": "30:44.36", - "speaker": "Tutor", - "dialogue": "Now, we can also keep track of time in this gcraph at the same." - }, - { - "start": "30:46.04", - "stop": "30:46.16", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "30:46.20", - "stop": "30:46.84", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "30:50.32", - "stop": "30:50.68", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "30:51.12", - "stop": "30:52.44", - "speaker": "Tutor", - "dialogue": "I'm so proud of you for saying" - }, - { - "start": "30:52.48", - "stop": "30:53.92", - "speaker": "Tutor", - "dialogue": "I don't get it okay." - }, - { - "start": "30:54.32", - "stop": "31:01.84", - "speaker": "Tutor", - "dialogue": "So you have done a lot of thinking and a lot of work about distance and miles, and you've been paying attention to this axis." - }, - { - "start": "31:03.08", - "stop": "31:13.00", - "speaker": "Tutor", - "dialogue": "I want you to do the same thing now and pay attention to this axis, because it's also keeping track of how the car is traveling." - }, - { - "start": "31:13.72", - "stop": "31:15.44", - "speaker": "Tutor", - "dialogue": "It's just keeping track of the time." - }, - { - "start": "31:17.40", - "stop": "31:17.56", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "31:17.64", - "stop": "31:18.24", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "31:22.80", - "stop": "31:22.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "31:23.16", - "stop": "31:25.84", - "speaker": "Tutor", - "dialogue": "Let's look from A to B. You already mes." - }, - { - "start": "31:26.04", - "stop": "31:27.44", - "speaker": "Tutor", - "dialogue": "You already labeled the miles" - }, - { - "start": "31:28.44", - "stop": "31:30.96", - "speaker": "Tutor", - "dialogue": "Now, let's label the time and let's do it in purple." - }, - { - "start": "31:34.12", - "stop": "31:34.16", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "31:34.28", - "stop": "31:35.48", - "speaker": "Tutor", - "dialogue": "You know how to change your color." - }, - { - "start": "31:37.36", - "stop": "31:37.40", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "31:37.56", - "stop": "31:39.36", - "speaker": "Tutor", - "dialogue": "Don't so when you click on the pencil." - }, - { - "start": "31:41.40", - "stop": "31:41.76", - "speaker": "Student", - "dialogue": "Above." - }, - { - "start": "31:41.84", - "stop": "31:46.04", - "speaker": "Tutor", - "dialogue": "Like where the words are for the map, you'll see a little box that says color." - }, - { - "start": "31:51.16", - "stop": "31:51.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "31:51.44", - "stop": "31:55.40", - "speaker": "Tutor", - "dialogue": "Over here from A to B, we've measured and kept track of the miles." - }, - { - "start": "31:55.60", - "stop": "31:57.88", - "speaker": "Tutor", - "dialogue": "Now, I want you to also keep track of the time." - }, - { - "start": "32:08.40", - "stop": "32:08.44", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "32:08.56", - "stop": "32:15.20", - "speaker": "Tutor", - "dialogue": "If you don't want to spell it all out, you can just do one h or one h, r or something mathematicians love to abbreviate." - }, - { - "start": "32:17.92", - "stop": "32:18.16", - "speaker": "Student", - "dialogue": "Going." - }, - { - "start": "32:18.40", - "stop": "32:23.76", - "speaker": "Tutor", - "dialogue": "From B to C, how much is the time increasing, decreasing or staying the same?" - }, - { - "start": "33:24.12", - "stop": "33:27.44", - "speaker": "Tutor", - "dialogue": "And is it F? Exactly Thirty minutes or about thirty." - }, - { - "start": "33:30.52", - "stop": "33:30.80", - "speaker": "Student", - "dialogue": "About." - }, - { - "start": "33:30.92", - "stop": "33:31.72", - "speaker": "Tutor", - "dialogue": "Thirty minutes, yeah." - }, - { - "start": "33:40.16", - "stop": "33:40.32", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "33:40.44", - "stop": "33:48.72", - "speaker": "Tutor", - "dialogue": "You started to do this earlier and I said we'll come back to it, and you started to talk about time and distance in the same sentence." - }, - { - "start": "33:49.68", - "stop": "34:03.12", - "speaker": "Tutor", - "dialogue": "So you have a bunch of labels over here and some stuff over here, and let's see if we can describe what's happening from A to B, talking about miles and hours in the same sentence." - }, - { - "start": "34:10.68", - "stop": "34:10.84", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "34:11.08", - "stop": "34:23.12", - "speaker": "Tutor", - "dialogue": "Time increases, The miles also increase cool, and you can even be more specific how much does the miles increase and how much does the hours increase from A to B." - }, - { - "start": "34:24.88", - "stop": "34:25.08", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "34:25.24", - "stop": "34:31.76", - "speaker": "Tutor", - "dialogue": "A to B, it takes one hour and thirty minute toar." - }, - { - "start": "34:34.48", - "stop": "34:34.68", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "34:34.88", - "stop": "34:35.48", - "speaker": "Tutor", - "dialogue": "A to B." - }, - { - "start": "34:37.72", - "stop": "34:37.76", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "34:37.92", - "stop": "34:41.12", - "speaker": "Tutor", - "dialogue": "Takes one hour and thirty minute to travel fifty miles." - }, - { - "start": "34:41.52", - "stop": "34:47.20", - "speaker": "Tutor", - "dialogue": "Ah so from A to B. As miles increase, so does the hours." - }, - { - "start": "34:47.80", - "stop": "34:51.52", - "speaker": "Tutor", - "dialogue": "and you're saying you can travel from A to B fifty miles." - }, - { - "start": "34:51.84", - "stop": "34:52.76", - "speaker": "Tutor", - "dialogue": "In how much time?" - }, - { - "start": "34:52.80", - "stop": "35:00.76", - "speaker": "Tutor", - "dialogue": "did you say One hour and Ty minute in one hour in one hour or one hour and thirty minutes, which one one hour in one hour?" - }, - { - "start": "35:01.76", - "stop": "35:05.40", - "speaker": "Tutor", - "dialogue": "So the car travelled fifty miles in one hour?" - }, - { - "start": "35:06.20", - "stop": "35:08.56", - "speaker": "Tutor", - "dialogue": "Was it at a constant rate or not constant?" - }, - { - "start": "35:11.60", - "stop": "35:11.64", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "35:11.76", - "stop": "35:13.08", - "speaker": "Tutor", - "dialogue": "Is not a constant rate?" - }, - { - "start": "35:14.28", - "stop": "35:16.04", - "speaker": "Tutor", - "dialogue": "What does a constant rate mean to you?" - }, - { - "start": "35:17.96", - "stop": "35:18.00", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "35:18.16", - "stop": "35:23.00", - "speaker": "Tutor", - "dialogue": "Doesn't move A. So actually, that's really cool." - }, - { - "start": "35:23.08", - "stop": "35:23.68", - "speaker": "Tutor", - "dialogue": "That's helpful." - }, - { - "start": "35:24.08", - "stop": "35:26.24", - "speaker": "Tutor", - "dialogue": "A constant rate can actually be moving." - }, - { - "start": "35:26.40", - "stop": "35:26.68", - "speaker": "Tutor", - "dialogue": "Also." - }, - { - "start": "35:27.76", - "stop": "35:34.00", - "speaker": "Tutor", - "dialogue": "If your car is moving at a constant rate, it means you're moving at the same speed." - }, - { - "start": "35:36.60", - "stop": "35:36.72", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "35:36.80", - "stop": "35:38.64", - "speaker": "Tutor", - "dialogue": "You're walking at a constant rate." - }, - { - "start": "35:39.20", - "stop": "35:48.36", - "speaker": "Tutor", - "dialogue": "It means that you are walking at the same speed for a certain amount of distance, So constant rate can also mean something's moving." - }, - { - "start": "35:51.88", - "stop": "35:52.04", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "35:52.20", - "stop": "36:05.84", - "speaker": "Tutor", - "dialogue": "D to E, it is not constant because it increases the decreases, and stays the same, but A to B. The smooth line here means it's a constant rate of change." - }, - { - "start": "36:06.76", - "stop": "36:12.68", - "speaker": "Tutor", - "dialogue": "As the distance increases, the time increases at the same rate." - }, - { - "start": "36:14.76", - "stop": "36:14.92", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "36:15.00", - "stop": "36:15.60", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "36:17.12", - "stop": "36:21.68", - "speaker": "Tutor", - "dialogue": "So from C to D, is it a constant rate of change or not a constant rate?" - }, - { - "start": "36:32.12", - "stop": "36:32.16", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "36:32.32", - "stop": "36:33.92", - "speaker": "Tutor", - "dialogue": "Is not an a constanant rate?" - }, - { - "start": "36:34.28", - "stop": "36:34.48", - "speaker": "Tutor", - "dialogue": "why?" - }, - { - "start": "36:46.48", - "stop": "36:46.52", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "36:46.68", - "stop": "36:59.96", - "speaker": "Tutor", - "dialogue": "Is not movingm?" - }, - { - "start": "37:00.04", - "stop": "37:00.08", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "37:00.36", - "stop": "37:00.40", - "speaker": "Tutor", - "dialogue": "To." - }, - { - "start": "37:14.76", - "stop": "37:14.80", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "37:16.88", - "stop": "37:17.00", - "speaker": "Tutor", - "dialogue": "By." - }, - { - "start": "37:17.24", - "stop": "37:17.52", - "speaker": "Student", - "dialogue": "Thirty." - }, - { - "start": "37:17.64", - "stop": "37:20.36", - "speaker": "Tutor", - "dialogue": "Mile, how do we measure speed?" - }, - { - "start": "37:23.48", - "stop": "37:23.64", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "37:23.76", - "stop": "37:25.60", - "speaker": "Tutor", - "dialogue": "Looking at the X axis." - }, - { - "start": "37:27.48", - "stop": "37:27.80", - "speaker": "Student", - "dialogue": "Actually." - }, - { - "start": "37:27.88", - "stop": "37:35.80", - "speaker": "Tutor", - "dialogue": "For the speed we have to look at both, Have you heard anybody ever talk about speed for cars or for walking or running or trains?" - }, - { - "start": "37:39.16", - "stop": "37:43.80", - "speaker": "Tutor", - "dialogue": "They'll talk about how fast a car could go, or how slow something has happened?" - }, - { - "start": "37:44.52", - "stop": "37:46.52", - "speaker": "Tutor", - "dialogue": "Do you know what unit we measure speed in?" - }, - { - "start": "37:54.48", - "stop": "37:54.84", - "speaker": "Student", - "dialogue": "Kilome." - }, - { - "start": "37:55.52", - "stop": "37:57.12", - "speaker": "Tutor", - "dialogue": "We could measure it in kilometers, Ye." - }, - { - "start": "37:57.24", - "stop": "37:57.48", - "speaker": "Tutor", - "dialogue": "we can." - }, - { - "start": "37:57.56", - "stop": "37:59.12", - "speaker": "Tutor", - "dialogue": "also in the United States." - }, - { - "start": "37:59.28", - "stop": "38:01.12", - "speaker": "Tutor", - "dialogue": "we usually measure it with a car." - }, - { - "start": "38:02.72", - "stop": "38:07.24", - "speaker": "Tutor", - "dialogue": "You know how, Um on the side of the road, they'll have signs that tell you what the speed limit is." - }, - { - "start": "38:09.20", - "stop": "38:10.68", - "speaker": "Tutor", - "dialogue": "Do you know what that speed is?" - }, - { - "start": "38:11.12", - "stop": "38:14.44", - "speaker": "Tutor", - "dialogue": "What is it just miles, or is it just ours, or is it something else?" - }, - { - "start": "38:14.88", - "stop": "38:17.96", - "speaker": "Tutor", - "dialogue": "When they say the speed limit is fifty five, What does that mean?" - }, - { - "start": "38:21.04", - "stop": "38:21.08", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "38:21.24", - "stop": "38:22.76", - "speaker": "Tutor", - "dialogue": "Is only in O a certain area?" - }, - { - "start": "38:23.12", - "stop": "38:25.96", - "speaker": "Tutor", - "dialogue": "Yeah, and it's fifty five miles." - }, - { - "start": "38:29.48", - "stop": "38:29.68", - "speaker": "Student", - "dialogue": "Her." - }, - { - "start": "38:31.12", - "stop": "38:31.40", - "speaker": "Tutor", - "dialogue": "Hour." - }, - { - "start": "38:35.84", - "stop": "38:35.88", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "38:36.04", - "stop": "38:46.16", - "speaker": "Tutor", - "dialogue": "If we know how far a car has travelled in miles, and we know that amount of distance per one hour, that would tell us the speed." - }, - { - "start": "38:47.52", - "stop": "38:55.76", - "speaker": "Tutor", - "dialogue": "so from A to B, do we know how many miles the car has traveled fifty miles, and how many hours?" - }, - { - "start": "38:55.92", - "stop": "39:11.04", - "speaker": "Tutor", - "dialogue": "or do we know the time that it took to get from A to B, one hour, one hour, So we know fifty miles and it took one hour, so we would describe that as fifty." - }, - { - "start": "39:12.88", - "stop": "39:13.28", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "39:13.92", - "stop": "39:15.04", - "speaker": "Tutor", - "dialogue": "Per hour." - }, - { - "start": "39:17.24", - "stop": "39:17.48", - "speaker": "Student", - "dialogue": "That's" - }, - { - "start": "39:17.56", - "stop": "39:23.04", - "speaker": "Tutor", - "dialogue": "The speed of the car, it's the relationship between the miles and the hours." - }, - { - "start": "39:25.80", - "stop": "39:25.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "39:26.20", - "stop": "39:34.64", - "speaker": "Tutor", - "dialogue": "This car from A to B traveled fifty miles per hour at that constant speed for that entire hour." - }, - { - "start": "39:36.24", - "stop": "39:36.44", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "39:36.56", - "stop": "39:39.36", - "speaker": "Tutor", - "dialogue": "B to C, what is the speed of the car?" - }, - { - "start": "39:43.88", - "stop": "39:44.12", - "speaker": "Student", - "dialogue": "Zero." - }, - { - "start": "39:44.28", - "stop": "39:53.44", - "speaker": "Tutor", - "dialogue": "Miles, zero miles Perzeroro." - }, - { - "start": "39:54.48", - "stop": "39:56.56", - "speaker": "Tutor", - "dialogue": "we want to figure out how many that is per hour." - }, - { - "start": "40:01.96", - "stop": "40:02.16", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "40:02.24", - "stop": "40:02.92", - "speaker": "Tutor", - "dialogue": "Still going to be?" - }, - { - "start": "40:07.24", - "stop": "40:07.28", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "40:07.40", - "stop": "40:08.32", - "speaker": "Tutor", - "dialogue": "Can times by?" - }, - { - "start": "40:11.28", - "stop": "40:11.48", - "speaker": "Student", - "dialogue": "Two." - }, - { - "start": "40:13.24", - "stop": "40:16.60", - "speaker": "Tutor", - "dialogue": "Times by two, it's still going to be zero miles per hour." - }, - { - "start": "40:18.64", - "stop": "40:18.68", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "40:18.84", - "stop": "40:20.96", - "speaker": "Tutor", - "dialogue": "Would the speed of the car be from C to D?" - }, - { - "start": "40:24.92", - "stop": "40:25.08", - "speaker": "Student", - "dialogue": "Ff." - }, - { - "start": "40:27.28", - "stop": "40:27.64", - "speaker": "Tutor", - "dialogue": "Label it." - }, - { - "start": "40:52.32", - "stop": "40:52.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "40:52.52", - "stop": "40:56.28", - "speaker": "Tutor", - "dialogue": "It's travelling at a constant speed of fifty miles per hour." - }, - { - "start": "40:56.40", - "stop": "40:59.68", - "speaker": "Tutor", - "dialogue": "For that fhull hour, What happens from D to E?" - }, - { - "start": "41:05.52", - "stop": "41:05.68", - "speaker": "Student", - "dialogue": "Per." - }, - { - "start": "41:09.20", - "stop": "41:09.24", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "41:09.84", - "stop": "41:10.28", - "speaker": "Student", - "dialogue": "Travels." - }, - { - "start": "41:10.44", - "stop": "41:11.16", - "speaker": "Tutor", - "dialogue": "Forty miles." - }, - { - "start": "41:16.00", - "stop": "41:16.04", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "41:16.16", - "stop": "41:18.88", - "speaker": "Tutor", - "dialogue": "Takes one hour and thirty minutes to travel forty miles." - }, - { - "start": "41:20.60", - "stop": "41:20.84", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "41:21.32", - "stop": "41:25.84", - "speaker": "Tutor", - "dialogue": "And if we want to talk about it as a speed, it has to be per one hour." - }, - { - "start": "41:28.88", - "stop": "41:29.04", - "speaker": "Student", - "dialogue": "Did?" - }, - { - "start": "41:29.12", - "stop": "41:32.56", - "speaker": "Tutor", - "dialogue": "It go that same speed the whole time, or did it change?" - }, - { - "start": "41:36.40", - "stop": "41:36.44", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "41:36.68", - "stop": "41:42.16", - "speaker": "Tutor", - "dialogue": "Change, Yeah, the squiggly line means that it went faster and then slower, and then faster and then slower." - }, - { - "start": "41:44.92", - "stop": "41:44.96", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "41:45.08", - "stop": "41:46.28", - "speaker": "Tutor", - "dialogue": "Then from E to f." - }, - { - "start": "41:51.88", - "stop": "41:52.04", - "speaker": "Student", - "dialogue": "Did?" - }, - { - "start": "41:52.16", - "stop": "41:54.36", - "speaker": "Tutor", - "dialogue": "It ten miles." - }, - { - "start": "41:57.08", - "stop": "41:57.12", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "41:57.48", - "stop": "42:00.60", - "speaker": "Tutor", - "dialogue": "Half an hour, so let's try to figure out the speed from." - }, - { - "start": "42:09.04", - "stop": "42:09.16", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "42:09.24", - "stop": "42:11.92", - "speaker": "Tutor", - "dialogue": "You label how many miles per how much time." - }, - { - "start": "42:14.12", - "stop": "42:14.28", - "speaker": "Student", - "dialogue": "Ten." - }, - { - "start": "42:19.88", - "stop": "42:20.00", - "speaker": "Tutor", - "dialogue": "An." - }, - { - "start": "42:20.04", - "stop": "42:20.24", - "speaker": "Student", - "dialogue": "Hour." - }, - { - "start": "42:25.84", - "stop": "42:25.88", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "42:26.04", - "stop": "42:26.08", - "speaker": "Student", - "dialogue": "We." - }, - { - "start": "42:26.16", - "stop": "42:26.76", - "speaker": "Tutor", - "dialogue": "Could write it." - }, - { - "start": "42:28.76", - "stop": "42:28.80", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "42:29.04", - "stop": "42:30.36", - "speaker": "Tutor", - "dialogue": "This, if it's half an hour." - }, - { - "start": "42:33.48", - "stop": "42:33.52", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "42:33.72", - "stop": "42:38.00", - "speaker": "Tutor", - "dialogue": "To figure out the speed, it has to be per one hour." - }, - { - "start": "42:40.24", - "stop": "42:40.28", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "42:40.44", - "stop": "42:43.36", - "speaker": "Tutor", - "dialogue": "If a car can go ten miles in a half hour." - }, - { - "start": "42:45.28", - "stop": "42:45.44", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "42:45.52", - "stop": "42:48.64", - "speaker": "Tutor", - "dialogue": "Far can the car go in one hour." - }, - { - "start": "42:52.80", - "stop": "42:53.08", - "speaker": "Student", - "dialogue": "Twenty." - }, - { - "start": "42:53.20", - "stop": "42:54.52", - "speaker": "Tutor", - "dialogue": "Miles beautiful." - }, - { - "start": "42:57.96", - "stop": "42:58.00", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "42:58.20", - "stop": "42:59.88", - "speaker": "Tutor", - "dialogue": "Is called a proportion?" - }, - { - "start": "43:01.36", - "stop": "43:02.28", - "speaker": "Tutor", - "dialogue": "These look familiar." - }, - { - "start": "43:03.20", - "stop": "43:06.60", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, so you just figured out the speed" - }, - { - "start": "43:07.28", - "stop": "43:10.00", - "speaker": "Tutor", - "dialogue": "If you know, It went ten miles in a half hour." - }, - { - "start": "43:11.36", - "stop": "43:15.28", - "speaker": "Tutor", - "dialogue": "The speed of the car, Caause speed always has to be per one hour." - }, - { - "start": "43:17.28", - "stop": "43:17.32", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "43:17.40", - "stop": "43:19.52", - "speaker": "Tutor", - "dialogue": "Speed of the car, there would be twenty miles per." - }, - { - "start": "43:21.00", - "stop": "43:21.24", - "speaker": "Student", - "dialogue": "Hour." - }, - { - "start": "43:22.28", - "stop": "43:23.04", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "43:24.16", - "stop": "43:25.96", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, cool." - }, - { - "start": "43:26.52", - "stop": "43:27.24", - "speaker": "Tutor", - "dialogue": "okay, we." - }, - { - "start": "43:27.64", - "stop": "43:32.84", - "speaker": "Tutor", - "dialogue": "You have done so much thinking to-day and we are out of time." - }, - { - "start": "43:33.96", - "stop": "43:36.84", - "speaker": "Tutor", - "dialogue": "but I would love to hear from you what this experience was like for you." - }, - { - "start": "43:43.64", - "stop": "43:43.76", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "43:43.84", - "stop": "43:44.64", - "speaker": "Tutor", - "dialogue": "Did it feel?" - }, - { - "start": "43:46.76", - "stop": "43:46.80", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "43:47.28", - "stop": "43:48.56", - "speaker": "Tutor", - "dialogue": "Do this together today." - }, - { - "start": "43:51.36", - "stop": "43:51.48", - "speaker": "Student", - "dialogue": "There." - }, - { - "start": "43:51.56", - "stop": "43:53.04", - "speaker": "Tutor", - "dialogue": "Was a lot of thinking I had to do?" - }, - { - "start": "43:54.24", - "stop": "43:55.80", - "speaker": "Tutor", - "dialogue": "Yeah, you were doing a ton of thinking." - }, - { - "start": "43:57.08", - "stop": "43:57.92", - "speaker": "Tutor", - "dialogue": "Does your head hurt?" - }, - { - "start": "43:59.52", - "stop": "44:01.40", - "speaker": "Tutor", - "dialogue": "Oh, then I didn't push you far enough." - }, - { - "start": "44:01.48", - "stop": "44:01.80", - "speaker": "Tutor", - "dialogue": "darn't, it?" - }, - { - "start": "44:03.72", - "stop": "44:09.00", - "speaker": "Tutor", - "dialogue": "What would be helpful for us to know as we are working with other students like you?" - }, - { - "start": "44:10.52", - "stop": "44:10.56", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "44:10.80", - "stop": "44:13.44", - "speaker": "Tutor", - "dialogue": "Problems like this in this virtual way." - }, - { - "start": "44:13.80", - "stop": "44:14.76", - "speaker": "Tutor", - "dialogue": "What's helpful for you?" - }, - { - "start": "44:23.08", - "stop": "44:23.12", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "44:23.24", - "stop": "44:24.16", - "speaker": "Tutor", - "dialogue": "What's not helpful?" - }, - { - "start": "44:42.60", - "stop": "44:42.80", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "44:42.88", - "stop": "44:43.36", - "speaker": "Tutor", - "dialogue": "Not sure?" - }, - { - "start": "44:43.72", - "stop": "44:44.80", - "speaker": "Tutor", - "dialogue": "Okay, That's cool." - }, - { - "start": "44:46.76", - "stop": "44:46.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "44:47.52", - "stop": "44:52.28", - "speaker": "Tutor", - "dialogue": "What is something you feel like you thought aboutorought about differently or learn today?" - }, - { - "start": "45:00.36", - "stop": "45:00.40", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "45:00.68", - "stop": "45:09.12", - "speaker": "Tutor", - "dialogue": "Learned that point, A starts from the top of the bottom, and then one more thing." - }, - { - "start": "45:10.04", - "stop": "45:12.88", - "speaker": "Tutor", - "dialogue": "What's something else you thought about differently or learned to-day" - }, - { - "start": "45:15.68", - "stop": "45:16.20", - "speaker": "Student", - "dialogue": "Constant." - }, - { - "start": "45:16.84", - "stop": "45:20.00", - "speaker": "Tutor", - "dialogue": "Is not just staying the same?" - }, - { - "start": "45:21.92", - "stop": "45:22.16", - "speaker": "Student", - "dialogue": "Else." - } -] \ No newline at end of file diff --git a/data/amber/7112022EX.json b/data/amber/7112022EX.json deleted file mode 100644 index 6f2562a..0000000 --- a/data/amber/7112022EX.json +++ /dev/null @@ -1,4412 +0,0 @@ -[ - { - "start": "00:00.16", - "stop": "00:06.84", - "speaker": "Student", - "dialogue": "Okay, I'll change the screen and you can read what's on the screen and then explain to me" - }, - { - "start": "00:07.04", - "stop": "00:10.08", - "speaker": "Student", - "dialogue": "what you understand is happening in the situation." - }, - { - "start": "00:12.00", - "stop": "00:12.04", - "speaker": "Tutor", - "dialogue": "Er." - }, - { - "start": "00:19.56", - "stop": "00:19.84", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:19.96", - "stop": "00:20.00", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "00:20.20", - "stop": "00:43.04", - "speaker": "Student", - "dialogue": "It's saying there's a car and it's moving from Providence, So that's the first point, and uh, going to New Ark, and uh, it's not asking you, Um a question, but I'm assuming it's something about the route" - }, - { - "start": "00:43.12", - "stop": "00:44.44", - "speaker": "Student", - "dialogue": "it takes to get there." - }, - { - "start": "00:44.96", - "stop": "00:45.56", - "speaker": "Student", - "dialogue": "Ah, cool." - }, - { - "start": "00:45.92", - "stop": "00:49.64", - "speaker": "Student", - "dialogue": "So yeah, what are some things that we could measure in this situation?" - }, - { - "start": "00:52.24", - "stop": "00:52.28", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "00:53.24", - "stop": "00:55.32", - "speaker": "Student", - "dialogue": "You can measure like right" - }, - { - "start": "00:55.36", - "stop": "00:57.76", - "speaker": "Student", - "dialogue": "now we have no information about the path." - }, - { - "start": "00:58.56", - "stop": "01:11.24", - "speaker": "Student", - "dialogue": "but if given um, some like measurements like the distance from Providence to Newark, or like, maybe there's also New York City in the middle." - }, - { - "start": "01:12.40", - "stop": "01:18.20", - "speaker": "Student", - "dialogue": "Um, So maybe like we could indirectly find the distance from Providence to Newark." - }, - { - "start": "01:19.24", - "stop": "01:29.08", - "speaker": "Student", - "dialogue": "Um, there's also like, Uh, You could see the amount of time, Maybe like the amount time it takes from Providence to New Yark." - }, - { - "start": "01:31.04", - "stop": "01:31.08", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "01:31.24", - "stop": "01:33.40", - "speaker": "Student", - "dialogue": "We could measure distance between places." - }, - { - "start": "01:33.84", - "stop": "01:34.96", - "speaker": "Student", - "dialogue": "we could measure the time." - }, - { - "start": "01:35.32", - "stop": "01:39.20", - "speaker": "Student", - "dialogue": "What are some units we would use to keep track of distance and time?" - }, - { - "start": "01:40.72", - "stop": "01:40.76", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "01:41.16", - "stop": "01:46.48", - "speaker": "Student", - "dialogue": "Distance could be measured in meters, inches, feet." - }, - { - "start": "01:47.20", - "stop": "01:47.88", - "speaker": "Student", - "dialogue": "I'm assuming" - }, - { - "start": "01:48.00", - "stop": "02:03.40", - "speaker": "Student", - "dialogue": "it's not going to be in really small units since New Ark and Providence is pretty far away, and for uh time you can measure in hours and seconds." - }, - { - "start": "02:04.60", - "stop": "02:08.60", - "speaker": "Student", - "dialogue": "So you said you were assuming that distance wouldn't be really small units." - }, - { - "start": "02:09.52", - "stop": "02:10.00", - "speaker": "Student", - "dialogue": "What do I?" - }, - { - "start": "02:10.32", - "stop": "02:13.16", - "speaker": "Student", - "dialogue": "What do you predict we're going to be measuring distance?" - }, - { - "start": "02:13.44", - "stop": "02:16.52", - "speaker": "Student", - "dialogue": "What unit I'm I'm predicting." - }, - { - "start": "02:16.68", - "stop": "02:22.56", - "speaker": "Student", - "dialogue": "Maybe like, uh, miles, maybe or uh meters." - }, - { - "start": "02:23.20", - "stop": "02:26.96", - "speaker": "Student", - "dialogue": "Okay, anything else besides Ur kilometers?" - }, - { - "start": "02:27.28", - "stop": "02:29.56", - "speaker": "Student", - "dialogue": "Maybe like larger units." - }, - { - "start": "02:30.00", - "stop": "02:32.16", - "speaker": "Student", - "dialogue": "Yeah, something probably bigger than a centimeter." - }, - { - "start": "02:32.28", - "stop": "02:33.84", - "speaker": "Student", - "dialogue": "Though, yeah, right." - }, - { - "start": "02:34.48", - "stop": "02:38.96", - "speaker": "Student", - "dialogue": "okay, so distance and time are two things that you've mentioned." - }, - { - "start": "02:39.00", - "stop": "02:41.76", - "speaker": "Student", - "dialogue": "two variables that we could measure any other variables." - }, - { - "start": "02:42.40", - "stop": "02:43.68", - "speaker": "Student", - "dialogue": "Any other things we could measure." - }, - { - "start": "02:44.84", - "stop": "02:48.32", - "speaker": "Student", - "dialogue": "You can measure the rate as well." - }, - { - "start": "02:49.32", - "stop": "02:51.48", - "speaker": "Student", - "dialogue": "Maybe it's like Um." - }, - { - "start": "02:53.48", - "stop": "02:53.52", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "02:53.76", - "stop": "02:56.20", - "speaker": "Student", - "dialogue": "The speed of the car, or?" - }, - { - "start": "02:58.12", - "stop": "02:58.28", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "03:02.60", - "stop": "03:02.80", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "03:06.56", - "stop": "03:06.68", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "03:06.84", - "stop": "03:07.00", - "speaker": "Student", - "dialogue": "Rate." - }, - { - "start": "03:07.80", - "stop": "03:07.92", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "03:08.04", - "stop": "03:10.32", - "speaker": "Student", - "dialogue": "Rate and speed the same thing, or are they different things?" - }, - { - "start": "03:11.20", - "stop": "03:16.88", - "speaker": "Student", - "dialogue": "Well, rate is different, rate is distance over time." - }, - { - "start": "03:19.48", - "stop": "03:19.52", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "03:20.28", - "stop": "03:27.04", - "speaker": "Student", - "dialogue": "It's like the ratio, kind of like how it's like how fast is going Okay." - }, - { - "start": "03:27.56", - "stop": "03:31.64", - "speaker": "Student", - "dialogue": "So rate you said is different than speed because it's dis." - }, - { - "start": "03:31.80", - "stop": "03:31.92", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "03:32.04", - "stop": "03:36.32", - "speaker": "Student", - "dialogue": "A rate rate is like speed, but it's not time." - }, - { - "start": "03:38.24", - "stop": "03:38.48", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "03:39.08", - "stop": "03:48.20", - "speaker": "Student", - "dialogue": "Yeah, so speed is a type of rate or right, like a unit of rate that we could be measuring, but there's lots of different rates" - }, - { - "start": "03:48.28", - "stop": "03:58.92", - "speaker": "Student", - "dialogue": "we could be looking at, But if we're looking at distance and time, then the relationship between those would be described as the speed or the rate, but that would." - }, - { - "start": "03:59.00", - "stop": "04:00.36", - "speaker": "Student", - "dialogue": "Yeah, yeah, that's what you're saying." - }, - { - "start": "04:00.44", - "stop": "04:01.96", - "speaker": "Student", - "dialogue": "They would be the same thing in the situation." - }, - { - "start": "04:04.36", - "stop": "04:04.40", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "04:05.68", - "stop": "04:07.00", - "speaker": "Student", - "dialogue": "Okay, cool." - }, - { - "start": "04:07.32", - "stop": "04:13.00", - "speaker": "Student", - "dialogue": "so let's I'mna uncover something and you reflect on how it was similar or different to what your predictions were." - }, - { - "start": "04:16.12", - "stop": "04:16.32", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "04:16.44", - "stop": "04:17.24", - "speaker": "Student", - "dialogue": "It's like grass." - }, - { - "start": "04:18.56", - "stop": "04:24.40", - "speaker": "Student", - "dialogue": "Okay, Okay, so it's talking about time and distanceum." - }, - { - "start": "04:24.56", - "stop": "04:26.24", - "speaker": "Student", - "dialogue": "Was it similar or different to your predictions?" - }, - { - "start": "04:26.32", - "stop": "04:26.96", - "speaker": "Student", - "dialogue": "It was pretty." - }, - { - "start": "04:27.04", - "stop": "04:31.84", - "speaker": "Student", - "dialogue": "It's pretty similar like it's The units are in hours and miles." - }, - { - "start": "04:33.48", - "stop": "04:35.48", - "speaker": "Student", - "dialogue": "What point but the?" - }, - { - "start": "04:36.80", - "stop": "04:39.24", - "speaker": "Student", - "dialogue": "So the blue line?" - }, - { - "start": "04:40.28", - "stop": "04:40.44", - "speaker": "Student", - "dialogue": "Um?" - }, - { - "start": "04:42.44", - "stop": "04:42.68", - "speaker": "Tutor", - "dialogue": "It's" - }, - { - "start": "04:43.12", - "stop": "04:43.48", - "speaker": "Student", - "dialogue": "Giving." - }, - { - "start": "04:45.96", - "stop": "04:46.28", - "speaker": "Tutor", - "dialogue": "Different." - }, - { - "start": "04:46.40", - "stop": "04:49.92", - "speaker": "Student", - "dialogue": "Intervals, so uh, let me see." - }, - { - "start": "04:54.04", - "stop": "04:54.08", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "04:54.24", - "stop": "04:58.44", - "speaker": "Student", - "dialogue": "Think it's It's talking about the speed of. Maybe like a vehicle." - }, - { - "start": "04:59.00", - "stop": "05:00.32", - "speaker": "Student", - "dialogue": "Like the speed it's going." - }, - { - "start": "05:01.96", - "stop": "05:02.08", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "05:04.32", - "stop": "05:04.36", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "05:04.56", - "stop": "05:07.36", - "speaker": "Student", - "dialogue": "In different time frames, so?" - }, - { - "start": "05:09.52", - "stop": "05:09.76", - "speaker": "Tutor", - "dialogue": "'cause" - }, - { - "start": "05:09.84", - "stop": "05:11.08", - "speaker": "Student", - "dialogue": "Like you see that it's not like" - }, - { - "start": "05:11.28", - "stop": "05:17.40", - "speaker": "Student", - "dialogue": "At constant um, constant speed, the beginning is the beginning." - }, - { - "start": "05:18.52", - "stop": "05:23.52", - "speaker": "Student", - "dialogue": "Like the slopes are different, and from D to e, it's kind of wiggly." - }, - { - "start": "05:25.12", - "stop": "05:26.44", - "speaker": "Student", - "dialogue": "What does that mean from D to E" - }, - { - "start": "05:26.68", - "stop": "05:27.96", - "speaker": "Student", - "dialogue": "if it's being wiggly there?" - }, - { - "start": "05:29.96", - "stop": "05:30.00", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "05:30.56", - "stop": "05:35.76", - "speaker": "Student", - "dialogue": "It probably means that there is an inconsistent speed." - }, - { - "start": "05:36.80", - "stop": "05:37.40", - "speaker": "Student", - "dialogue": "Yeah, oh." - }, - { - "start": "05:39.44", - "stop": "05:39.56", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "05:39.60", - "stop": "05:41.36", - "speaker": "Student", - "dialogue": "Would we describe that in terms of rate?" - }, - { - "start": "05:44.24", - "stop": "05:44.28", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "05:45.52", - "stop": "05:45.80", - "speaker": "Student", - "dialogue": "There's" - }, - { - "start": "05:48.16", - "stop": "05:48.52", - "speaker": "Tutor", - "dialogue": "Different." - }, - { - "start": "05:48.76", - "stop": "05:52.72", - "speaker": "Student", - "dialogue": "Rates, so is it a constant rate between D and E or not?" - }, - { - "start": "05:52.88", - "stop": "05:55.28", - "speaker": "Student", - "dialogue": "a constant rate, not a constant?" - }, - { - "start": "05:55.64", - "stop": "05:57.96", - "speaker": "Student", - "dialogue": "You also mention slope is the." - }, - { - "start": "05:58.28", - "stop": "06:02.28", - "speaker": "Student", - "dialogue": "Can you find the slope of different intervals of this trip?" - }, - { - "start": "06:03.16", - "stop": "06:08.68", - "speaker": "Student", - "dialogue": "Ahuh, so from eight a b M. let me just see eight a B." - }, - { - "start": "06:10.92", - "stop": "06:10.96", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "06:11.20", - "stop": "06:15.72", - "speaker": "Student", - "dialogue": "It's rise over run, so it's fifty over one." - }, - { - "start": "06:16.12", - "stop": "06:19.60", - "speaker": "Student", - "dialogue": "so it's fifty miles per hour." - }, - { - "start": "06:21.92", - "stop": "06:21.96", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "06:22.28", - "stop": "06:24.52", - "speaker": "Student", - "dialogue": "And the slope is fifty." - }, - { - "start": "06:26.80", - "stop": "06:26.84", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "06:27.24", - "stop": "06:28.36", - "speaker": "Student", - "dialogue": "From B to C." - }, - { - "start": "06:31.52", - "stop": "06:31.68", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "06:33.16", - "stop": "06:35.68", - "speaker": "Student", - "dialogue": "So from B to C, it's a ho." - }, - { - "start": "06:36.04", - "stop": "06:37.32", - "speaker": "Student", - "dialogue": "It's a horizontal line." - }, - { - "start": "06:37.80", - "stop": "06:43.88", - "speaker": "Student", - "dialogue": "And what that means is the Uh speed doesn't Inc. increase." - }, - { - "start": "06:47.00", - "stop": "06:47.12", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "06:50.96", - "stop": "06:51.08", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "06:51.32", - "stop": "06:51.36", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "06:51.52", - "stop": "06:52.40", - "speaker": "Student", - "dialogue": "Stays the same." - }, - { - "start": "06:56.40", - "stop": "06:56.56", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "07:05.32", - "stop": "07:05.44", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "07:05.68", - "stop": "07:05.88", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "07:07.08", - "stop": "07:09.88", - "speaker": "Student", - "dialogue": "C a D. it's." - }, - { - "start": "07:13.84", - "stop": "07:13.88", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "07:14.84", - "stop": "07:21.32", - "speaker": "Student", - "dialogue": "Fifty over around two point five, I think." - }, - { - "start": "07:24.48", - "stop": "07:24.60", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "07:26.64", - "stop": "07:26.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "07:27.08", - "stop": "07:27.12", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "07:27.36", - "stop": "07:29.80", - "speaker": "Student", - "dialogue": "Would be hang on." - }, - { - "start": "07:30.08", - "stop": "07:30.76", - "speaker": "Student", - "dialogue": "you said fifty." - }, - { - "start": "07:30.84", - "stop": "07:30.88", - "speaker": "Student", - "dialogue": "what?" - }, - { - "start": "07:31.08", - "stop": "07:31.92", - "speaker": "Student", - "dialogue": "and two point five." - }, - { - "start": "07:32.04", - "stop": "07:32.08", - "speaker": "Student", - "dialogue": "what?" - }, - { - "start": "07:32.36", - "stop": "07:33.72", - "speaker": "Student", - "dialogue": "Make sure you're always describing." - }, - { - "start": "07:33.92", - "stop": "07:38.96", - "speaker": "Student", - "dialogue": "Oh that you're fifty fifty miles over two point five hours." - }, - { - "start": "07:39.60", - "stop": "07:40.48", - "speaker": "Student", - "dialogue": "Where are you seen?" - }, - { - "start": "07:40.96", - "stop": "07:43.20", - "speaker": "Student", - "dialogue": "The fifty hours or the fifty miles?" - }, - { - "start": "07:46.20", - "stop": "07:46.40", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "07:46.60", - "stop": "08:07.96", - "speaker": "Student", - "dialogue": "So I'm looking at the graph right now, Mhm, and it's uh, from C to D. The rise is fifty miles like I can market it, so the distance increases by fifty miles." - }, - { - "start": "08:09.04", - "stop": "08:15.80", - "speaker": "Student", - "dialogue": "Yeah, Oka the time it's uh." - }, - { - "start": "08:17.04", - "stop": "08:20.88", - "speaker": "Student", - "dialogue": "Oh, Well way, it's around two, I think." - }, - { - "start": "08:24.36", - "stop": "08:24.40", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "08:24.60", - "stop": "08:27.28", - "speaker": "Student", - "dialogue": "From here to here it's around." - }, - { - "start": "08:27.44", - "stop": "08:30.16", - "speaker": "Student", - "dialogue": "Let's like two point five minus one point five." - }, - { - "start": "08:30.32", - "stop": "08:31.40", - "speaker": "Student", - "dialogue": "So it's around two." - }, - { - "start": "08:33.00", - "stop": "08:33.72", - "speaker": "Student", - "dialogue": "So I jus." - }, - { - "start": "08:34.32", - "stop": "08:36.92", - "speaker": "Student", - "dialogue": "so I guess the was wrong when I said two point five." - }, - { - "start": "08:37.32", - "stop": "08:38.08", - "speaker": "Student", - "dialogue": "What do you think it is?" - }, - { - "start": "08:39.96", - "stop": "08:40.00", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "08:41.52", - "stop": "08:44.84", - "speaker": "Student", - "dialogue": "Fifty or so around twenty five is the slope." - }, - { - "start": "08:47.44", - "stop": "08:47.48", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "08:48.04", - "stop": "08:59.24", - "speaker": "Student", - "dialogue": "Tell me how much you see the hours increasing from C to d, C to D increasing by one hour." - }, - { - "start": "09:00.64", - "stop": "09:17.44", - "speaker": "Student", - "dialogue": "So from Ca to De, Oh, the pianer travels fifty miles, or the distance increases by fifty miles, and from C to D, the time increases by by one one hour." - }, - { - "start": "09:17.72", - "stop": "09:23.00", - "speaker": "Student", - "dialogue": "Ok, and how does that help you know anything about slope or rate or speed?" - }, - { - "start": "09:25.08", - "stop": "09:25.12", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "09:26.40", - "stop": "09:28.52", - "speaker": "Student", - "dialogue": "Then we know the Um." - }, - { - "start": "09:29.08", - "stop": "09:31.64", - "speaker": "Student", - "dialogue": "we know the slope is fifty." - }, - { - "start": "09:31.92", - "stop": "09:57.88", - "speaker": "Student", - "dialogue": "Like Oh, this similar to A to B. Actually, the slope is the same and uh, the slope is fifty, but the rate is Um, fifty miles per hour, And I mean yeah, and the speed is Ah, soo, fifty miles per hour." - }, - { - "start": "09:59.96", - "stop": "10:00.00", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "10:00.92", - "stop": "10:01.92", - "speaker": "Student", - "dialogue": "Is the sope therate?" - }, - { - "start": "10:02.04", - "stop": "10:05.16", - "speaker": "Student", - "dialogue": "What's the relationship between the slope, the rate and the speed?" - }, - { - "start": "10:10.84", - "stop": "10:10.96", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "10:11.56", - "stop": "10:13.80", - "speaker": "Student", - "dialogue": "The slope, the rate, the speed." - }, - { - "start": "10:14.60", - "stop": "10:16.76", - "speaker": "Student", - "dialogue": "I, I think they all mean the same thing." - }, - { - "start": "10:18.12", - "stop": "10:21.28", - "speaker": "Student", - "dialogue": "Do they always mean the same thing, or just the same thing in this situation?" - }, - { - "start": "10:23.76", - "stop": "10:23.92", - "speaker": "Tutor", - "dialogue": "Well." - }, - { - "start": "10:24.12", - "stop": "10:26.64", - "speaker": "Student", - "dialogue": "I know it means the same thing in this situation." - }, - { - "start": "10:27.00", - "stop": "10:29.84", - "speaker": "Student", - "dialogue": "Um, let me think about like in general, beautiful." - }, - { - "start": "10:50.24", - "stop": "10:50.28", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "10:50.88", - "stop": "10:57.72", - "speaker": "Student", - "dialogue": "I think rate and speed, so like in this situation the rate is talking about Um." - }, - { - "start": "10:57.88", - "stop": "11:03.76", - "speaker": "Student", - "dialogue": "distance over time, and that's Um, related to speed we like." - }, - { - "start": "11:03.96", - "stop": "11:08.68", - "speaker": "Student", - "dialogue": "Sometimes rates don't have to be about like speed." - }, - { - "start": "11:09.64", - "stop": "11:11.12", - "speaker": "Student", - "dialogue": "Like how fast something is going." - }, - { - "start": "11:11.96", - "stop": "11:14.04", - "speaker": "Student", - "dialogue": "They could also be about Um." - }, - { - "start": "11:16.56", - "stop": "11:16.76", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "11:16.80", - "stop": "11:21.28", - "speaker": "Student", - "dialogue": "Trying to think of an example right now, the rates can also be about." - }, - { - "start": "11:23.92", - "stop": "11:24.04", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "11:36.60", - "stop": "11:36.64", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "11:36.80", - "stop": "11:36.92", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "11:37.04", - "stop": "11:39.44", - "speaker": "Student", - "dialogue": "Much money you earn per hour, Mm." - }, - { - "start": "11:40.84", - "stop": "11:40.88", - "speaker": "Tutor", - "dialogue": "But" - }, - { - "start": "11:41.04", - "stop": "11:45.28", - "speaker": "Student", - "dialogue": "That wouldn't be like how fast you're going, or and that's like what speed is?" - }, - { - "start": "11:46.20", - "stop": "11:54.64", - "speaker": "Student", - "dialogue": "Ah, so yeah, so all of these describe the relationship between the two variables that we're thinking about." - }, - { - "start": "11:55.88", - "stop": "11:55.92", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "11:56.08", - "stop": "11:59.80", - "speaker": "Student", - "dialogue": "We have a variable of distance in this situation, a variable of time." - }, - { - "start": "12:00.64", - "stop": "12:02.40", - "speaker": "Student", - "dialogue": "That means both of those things are increasing." - }, - { - "start": "12:02.60", - "stop": "12:03.52", - "speaker": "Student", - "dialogue": "I'm sorry not increasing." - }, - { - "start": "12:03.72", - "stop": "12:24.28", - "speaker": "Student", - "dialogue": "Both of those things are changing, and the way that they change together is described by the slope or the rate, and in this specific situation speed happens to be the way we think about the relationship of miles and hours together." - }, - { - "start": "12:25.88", - "stop": "12:25.92", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "12:26.08", - "stop": "12:28.44", - "speaker": "Student", - "dialogue": "Example that you gave of money per week." - }, - { - "start": "12:29.68", - "stop": "12:51.12", - "speaker": "Student", - "dialogue": "That would mean that one variable is money, the other variable is time in terms of week, And then the graph in the middle would describe the relationship between those two things, and we could find the rate if it was constant or not, and we could find the slope, but we wouldn't be able to find the speed." - }, - { - "start": "12:53.32", - "stop": "12:53.36", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "12:53.44", - "stop": "12:54.48", - "speaker": "Student", - "dialogue": "That what you're saying at all?" - }, - { - "start": "12:54.96", - "stop": "12:57.52", - "speaker": "Student", - "dialogue": "Yeah, you N that I summarize your thinking." - }, - { - "start": "12:58.08", - "stop": "13:05.64", - "speaker": "Student", - "dialogue": "Yeah, okay, just want to make sure I'm clear and remember you are the authority of your math, So if I missspeak in any way, please correct me." - }, - { - "start": "13:07.16", - "stop": "13:08.64", - "speaker": "Student", - "dialogue": "Can Ca." - }, - { - "start": "13:09.12", - "stop": "13:09.40", - "speaker": "Student", - "dialogue": "all right?" - }, - { - "start": "13:09.52", - "stop": "13:11.48", - "speaker": "Student", - "dialogue": "So you've talked about rate?" - }, - { - "start": "13:11.64", - "stop": "13:15.88", - "speaker": "Student", - "dialogue": "I want to know what you think about, constant rate or not a constant rate." - }, - { - "start": "13:18.48", - "stop": "13:18.52", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "13:18.88", - "stop": "13:24.92", - "speaker": "Student", - "dialogue": "Constant rate is when the rate is a Sta." - }, - { - "start": "13:25.24", - "stop": "13:34.60", - "speaker": "Student", - "dialogue": "the rate stays the same the throughout the whole graph, I guess, and if it's not a constant rate." - }, - { - "start": "13:36.68", - "stop": "13:36.88", - "speaker": "Tutor", - "dialogue": "There." - }, - { - "start": "13:37.00", - "stop": "13:40.36", - "speaker": "Student", - "dialogue": "Are different rates uh, throughout the graph?" - }, - { - "start": "13:40.56", - "stop": "13:44.52", - "speaker": "Student", - "dialogue": "So like this one this graph isn't Um." - }, - { - "start": "13:44.72", - "stop": "13:47.04", - "speaker": "Student", - "dialogue": "The rate is not constant in this graph" - }, - { - "start": "13:48.52", - "stop": "13:53.68", - "speaker": "Student", - "dialogue": "Because the the line is not Um." - }, - { - "start": "13:54.00", - "stop": "13:54.24", - "speaker": "Student", - "dialogue": "There's" - }, - { - "start": "13:54.88", - "stop": "13:57.60", - "speaker": "Student", - "dialogue": "There's not one single line like it's" - }, - { - "start": "13:58.24", - "stop": "14:06.36", - "speaker": "Student", - "dialogue": "It's like there are different slopes in the line, so the slope has to be the same for the whole graph in order for it to have a constant rate." - }, - { - "start": "14:07.12", - "stop": "14:13.96", - "speaker": "Student", - "dialogue": "Yeah, Exactly what if I just wanted to look at certain intervals, So from A to B, Is that a constant rate?" - }, - { - "start": "14:15.40", - "stop": "14:17.84", - "speaker": "Student", - "dialogue": "Yes, Because the slope is the same." - }, - { - "start": "14:18.16", - "stop": "14:19.28", - "speaker": "Student", - "dialogue": "What about from D to E?" - }, - { - "start": "14:21.00", - "stop": "14:21.16", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "14:21.32", - "stop": "14:23.92", - "speaker": "Student", - "dialogue": "D to e. uh, it's not a line." - }, - { - "start": "14:24.08", - "stop": "14:24.88", - "speaker": "Student", - "dialogue": "It's um." - }, - { - "start": "14:25.36", - "stop": "14:27.24", - "speaker": "Student", - "dialogue": "it's a bunch of wiggilies." - }, - { - "start": "14:27.92", - "stop": "14:30.96", - "speaker": "Student", - "dialogue": "Yeah, so that's not a constant rate." - }, - { - "start": "14:31.56", - "stop": "14:34.48", - "speaker": "Student", - "dialogue": "What's happening from D to E in this situation?" - }, - { - "start": "14:37.12", - "stop": "14:37.16", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "14:37.68", - "stop": "14:47.72", - "speaker": "Student", - "dialogue": "So the rate is like constantly changing the Sl, since like the slope is um, not consistent like." - }, - { - "start": "14:50.00", - "stop": "14:50.16", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "14:51.00", - "stop": "14:51.92", - "speaker": "Student", - "dialogue": "So probably the." - }, - { - "start": "14:54.28", - "stop": "14:54.72", - "speaker": "Tutor", - "dialogue": "Probably." - }, - { - "start": "14:55.04", - "stop": "15:02.80", - "speaker": "Student", - "dialogue": "The well, in this situation, the speed is constantly Um, changing back and forth." - }, - { - "start": "15:04.60", - "stop": "15:04.64", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "15:04.96", - "stop": "15:09.12", - "speaker": "Student", - "dialogue": "Is the speed increasing decreasing, staying the same?" - }, - { - "start": "15:11.04", - "stop": "15:11.24", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "15:11.52", - "stop": "15:12.00", - "speaker": "Student", - "dialogue": "D to e." - }, - { - "start": "15:14.20", - "stop": "15:14.40", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "15:14.60", - "stop": "15:17.88", - "speaker": "Student", - "dialogue": "D to y the speed?" - }, - { - "start": "15:18.32", - "stop": "15:21.76", - "speaker": "Student", - "dialogue": "Okay, the speed is." - }, - { - "start": "15:28.32", - "stop": "15:28.56", - "speaker": "Tutor", - "dialogue": "Still." - }, - { - "start": "15:28.72", - "stop": "15:37.56", - "speaker": "Student", - "dialogue": "Increasing, uh, just like the like, the speed is in still increasing, but like the Uh." - }, - { - "start": "15:40.24", - "stop": "15:40.28", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "15:40.64", - "stop": "15:46.20", - "speaker": "Student", - "dialogue": "Rate at which it increases is not Con, is not consistent." - }, - { - "start": "15:48.12", - "stop": "15:48.16", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "15:48.36", - "stop": "15:50.32", - "speaker": "Student", - "dialogue": "Is beautiful math language now?" - }, - { - "start": "15:50.40", - "stop": "15:54.76", - "speaker": "Student", - "dialogue": "I want you to tell me about it in the terms of this situation, Specifically the math." - }, - { - "start": "15:55.80", - "stop": "15:59.16", - "speaker": "Student", - "dialogue": "What's going on from D to E in this situation?" - }, - { - "start": "16:01.16", - "stop": "16:01.20", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "16:02.04", - "stop": "16:03.20", - "speaker": "Student", - "dialogue": "I in." - }, - { - "start": "16:03.68", - "stop": "16:09.24", - "speaker": "Student", - "dialogue": "since since it says it's a car uny, so I'm assuming the car is not." - }, - { - "start": "16:09.96", - "stop": "16:15.16", - "speaker": "Student", - "dialogue": "It's like maybe there's like a red light, or maybe like the car is running out of fuel or something." - }, - { - "start": "16:15.60", - "stop": "16:23.48", - "speaker": "Student", - "dialogue": "And it's like it like there's like a, maybe like A. S. A slow down and then maybe it comes faster." - }, - { - "start": "16:23.88", - "stop": "16:33.16", - "speaker": "Student", - "dialogue": "Maybe like there's a highway and then it goes back to like local driving, And that could make the car like change speeds." - }, - { - "start": "16:33.48", - "stop": "16:37.56", - "speaker": "Student", - "dialogue": "Ah, so it wouldn't be driving at a constant rate or a constant speed." - }, - { - "start": "16:37.88", - "stop": "16:40.60", - "speaker": "Student", - "dialogue": "It'd be starting and stopping or speeding up and slowing down." - }, - { - "start": "16:41.72", - "stop": "16:45.44", - "speaker": "Student", - "dialogue": "But from A to B, is the car driving at the same speed?" - }, - { - "start": "16:46.04", - "stop": "16:48.92", - "speaker": "Student", - "dialogue": "Or is it changing from A to B?" - }, - { - "start": "16:49.32", - "stop": "16:50.96", - "speaker": "Student", - "dialogue": "It's driving at the same speed." - }, - { - "start": "16:52.12", - "stop": "16:52.24", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "16:52.40", - "stop": "16:58.76", - "speaker": "Student", - "dialogue": "so now take all of that cool thinking and show me how you see the graph and the map as being related." - }, - { - "start": "16:59.24", - "stop": "17:04.92", - "speaker": "Student", - "dialogue": "So can you label what's happening on the map from the information you have on the graph?" - }, - { - "start": "17:07.56", - "stop": "17:07.76", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "17:08.24", - "stop": "17:11.00", - "speaker": "Student", - "dialogue": "Ok, let's see so." - }, - { - "start": "17:13.64", - "stop": "17:13.68", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "17:13.92", - "stop": "17:20.00", - "speaker": "Student", - "dialogue": "All all of this is probably on the graph, but let me see Um." - }, - { - "start": "17:22.24", - "stop": "17:22.48", - "speaker": "Tutor", - "dialogue": "Since?" - }, - { - "start": "17:22.64", - "stop": "17:26.36", - "speaker": "Student", - "dialogue": "We, I guess I'm going to estimate like." - }, - { - "start": "17:28.88", - "stop": "17:28.92", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "17:29.16", - "stop": "17:30.48", - "speaker": "Student", - "dialogue": "There are Ata B." - }, - { - "start": "17:32.28", - "stop": "17:32.72", - "speaker": "Tutor", - "dialogue": "Ba." - }, - { - "start": "17:33.00", - "stop": "17:33.04", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "17:36.04", - "stop": "17:36.08", - "speaker": "Tutor", - "dialogue": "C." - }, - { - "start": "17:50.00", - "stop": "17:50.20", - "speaker": "Student", - "dialogue": "Kay." - }, - { - "start": "17:52.36", - "stop": "17:52.40", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "17:52.72", - "stop": "17:52.92", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "17:53.16", - "stop": "17:53.68", - "speaker": "Tutor", - "dialogue": "Estimating." - }, - { - "start": "17:53.88", - "stop": "17:54.08", - "speaker": "Student", - "dialogue": "Caause." - }, - { - "start": "17:54.24", - "stop": "17:54.48", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "17:54.52", - "stop": "17:54.56", - "speaker": "Student", - "dialogue": "Not." - }, - { - "start": "17:55.04", - "stop": "17:55.48", - "speaker": "Tutor", - "dialogue": "Hoops." - }, - { - "start": "18:01.08", - "stop": "18:01.40", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "18:02.92", - "stop": "18:02.96", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "18:03.24", - "stop": "18:03.48", - "speaker": "Student", - "dialogue": "Point." - }, - { - "start": "18:03.60", - "stop": "18:03.64", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "18:04.04", - "stop": "18:05.24", - "speaker": "Student", - "dialogue": "Is Providence?" - }, - { - "start": "18:07.12", - "stop": "18:07.40", - "speaker": "Tutor", - "dialogue": "Point." - }, - { - "start": "18:07.52", - "stop": "18:09.72", - "speaker": "Student", - "dialogue": "B is somewhere." - }, - { - "start": "18:10.44", - "stop": "18:11.68", - "speaker": "Student", - "dialogue": "This is fifty miles." - }, - { - "start": "18:17.40", - "stop": "18:17.68", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "18:19.40", - "stop": "18:19.64", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "18:21.16", - "stop": "18:21.20", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "18:21.32", - "stop": "18:23.84", - "speaker": "Student", - "dialogue": "There a undu isn't" - }, - { - "start": "18:24.12", - "stop": "18:25.44", - "speaker": "Student", - "dialogue": "Do you want to erase something?" - }, - { - "start": "18:26.24", - "stop": "18:26.76", - "speaker": "Student", - "dialogue": "Yeah, I would." - }, - { - "start": "18:26.88", - "stop": "18:27.56", - "speaker": "Student", - "dialogue": "I didn't like." - }, - { - "start": "18:27.84", - "stop": "18:29.40", - "speaker": "Student", - "dialogue": "I didn't erase anything." - }, - { - "start": "18:29.44", - "stop": "18:31.56", - "speaker": "Student", - "dialogue": "I w. Ijust press Sf." - }, - { - "start": "18:31.76", - "stop": "18:32.56", - "speaker": "Student", - "dialogue": "for asing" - }, - { - "start": "18:33.40", - "stop": "18:34.04", - "speaker": "Student", - "dialogue": "If you like Mi." - }, - { - "start": "18:34.60", - "stop": "18:35.68", - "speaker": "Student", - "dialogue": "Can you still see the map?" - }, - { - "start": "18:37.16", - "stop": "18:38.04", - "speaker": "Student", - "dialogue": "Um, let's see." - }, - { - "start": "18:44.72", - "stop": "18:44.88", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "18:44.96", - "stop": "18:45.72", - "speaker": "Student", - "dialogue": "No, I can see it." - }, - { - "start": "18:45.96", - "stop": "18:46.20", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "18:46.32", - "stop": "18:47.80", - "speaker": "Student", - "dialogue": "You might have just clicked off of your." - }, - { - "start": "18:48.00", - "stop": "18:52.04", - "speaker": "Student", - "dialogue": "like, Yeah, I think I might have zoomed in or something, but it's fine now." - }, - { - "start": "18:57.72", - "stop": "18:57.84", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "18:57.96", - "stop": "19:01.56", - "speaker": "Student", - "dialogue": "Right, so A to B, fifty miles." - }, - { - "start": "19:03.72", - "stop": "19:03.76", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "19:04.04", - "stop": "19:07.72", - "speaker": "Student", - "dialogue": "To C, So that was a stop." - }, - { - "start": "19:07.96", - "stop": "19:09.36", - "speaker": "Student", - "dialogue": "So um?" - }, - { - "start": "19:11.36", - "stop": "19:11.40", - "speaker": "Tutor", - "dialogue": "C." - }, - { - "start": "19:11.80", - "stop": "19:15.32", - "speaker": "Student", - "dialogue": "Like C is probably I don't know how I'm gona." - }, - { - "start": "19:18.76", - "stop": "19:18.80", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "19:21.00", - "stop": "19:21.04", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "19:21.28", - "stop": "19:21.32", - "speaker": "Tutor", - "dialogue": "C." - }, - { - "start": "19:21.76", - "stop": "19:31.28", - "speaker": "Student", - "dialogue": "I guess since like B to c, uh, didn't like they didn't travel any further distance, they, they probably stopped there, maybe to like rest or something." - }, - { - "start": "19:31.64", - "stop": "19:32.60", - "speaker": "Student", - "dialogue": "How long did they stop?" - }, - { - "start": "19:32.68", - "stop": "19:32.92", - "speaker": "Tutor", - "dialogue": "There for." - }, - { - "start": "19:34.12", - "stop": "19:36.72", - "speaker": "Student", - "dialogue": "They stopped there for half an hour." - }, - { - "start": "19:40.04", - "stop": "19:40.48", - "speaker": "Student", - "dialogue": "Keep going." - }, - { - "start": "19:40.64", - "stop": "19:43.40", - "speaker": "Student", - "dialogue": "You did a great job of thinking and labeling." - }, - { - "start": "19:45.64", - "stop": "19:45.96", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "19:46.28", - "stop": "19:48.16", - "speaker": "Student", - "dialogue": "So from C a D?" - }, - { - "start": "19:50.84", - "stop": "19:51.04", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "19:51.12", - "stop": "19:52.12", - "speaker": "Student", - "dialogue": "Maybe turn here." - }, - { - "start": "19:54.24", - "stop": "19:54.28", - "speaker": "Tutor", - "dialogue": "C." - }, - { - "start": "19:54.52", - "stop": "19:59.72", - "speaker": "Student", - "dialogue": "A D, that is also fifty miles." - }, - { - "start": "20:06.28", - "stop": "20:06.40", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "20:06.52", - "stop": "20:11.76", - "speaker": "Student", - "dialogue": "Right and from D. to." - }, - { - "start": "20:35.56", - "stop": "20:35.80", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "20:47.08", - "stop": "20:47.20", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "20:47.24", - "stop": "20:47.28", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "20:47.48", - "stop": "20:47.68", - "speaker": "Student", - "dialogue": "Using." - }, - { - "start": "20:47.76", - "stop": "20:47.92", - "speaker": "Tutor", - "dialogue": "Those." - }, - { - "start": "20:48.00", - "stop": "20:52.32", - "speaker": "Student", - "dialogue": "To see the axies, Yeah, I was trying to like ver." - }, - { - "start": "20:52.72", - "stop": "20:52.88", - "speaker": "Student", - "dialogue": "um." - }, - { - "start": "20:57.08", - "stop": "20:57.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "20:57.56", - "stop": "20:58.88", - "speaker": "Student", - "dialogue": "Sirnds, very." - }, - { - "start": "20:58.92", - "stop": "20:59.16", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "21:01.20", - "stop": "21:01.96", - "speaker": "Student", - "dialogue": "I wasn't letting you." - }, - { - "start": "21:02.16", - "stop": "21:03.20", - "speaker": "Student", - "dialogue": "Are you trying to make it bigger?" - }, - { - "start": "21:04.08", - "stop": "21:05.96", - "speaker": "Student", - "dialogue": "Yeah, if I coldn't, that's fine." - }, - { - "start": "21:06.00", - "stop": "21:07.56", - "speaker": "Student", - "dialogue": "You should be able to let me see." - }, - { - "start": "21:11.72", - "stop": "21:11.76", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "21:13.08", - "stop": "21:15.04", - "speaker": "Student", - "dialogue": "Oh, there you have to pull on the end of it." - }, - { - "start": "21:15.64", - "stop": "21:17.20", - "speaker": "Student", - "dialogue": "W. can I select what you have?" - }, - { - "start": "21:17.52", - "stop": "21:19.08", - "speaker": "Student", - "dialogue": "Yep, let me unselect it." - }, - { - "start": "21:19.16", - "stop": "21:19.84", - "speaker": "Student", - "dialogue": "Then I think you can." - }, - { - "start": "21:20.40", - "stop": "21:22.64", - "speaker": "Student", - "dialogue": "Oh, now I can Okay." - }, - { - "start": "21:29.32", - "stop": "21:29.76", - "speaker": "Tutor", - "dialogue": "Oops." - }, - { - "start": "21:40.48", - "stop": "21:41.64", - "speaker": "Student", - "dialogue": "Nice, so that's." - }, - { - "start": "21:43.52", - "stop": "21:43.56", - "speaker": "Tutor", - "dialogue": "O." - }, - { - "start": "21:45.16", - "stop": "21:50.80", - "speaker": "Student", - "dialogue": "Okay, so I know that's around one hundred ten." - }, - { - "start": "21:50.96", - "stop": "21:51.28", - "speaker": "Tutor", - "dialogue": "Hundred." - }, - { - "start": "21:55.04", - "stop": "21:56.00", - "speaker": "Student", - "dialogue": "Maybe like thirty." - }, - { - "start": "21:56.76", - "stop": "22:05.04", - "speaker": "Student", - "dialogue": "It looks like it's around a hundred thirty nine somewhere there, so a hundred thirty nine." - }, - { - "start": "22:08.76", - "stop": "22:08.80", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "22:09.44", - "stop": "22:14.96", - "speaker": "Student", - "dialogue": "That'll bethirteance of thirtye." - }, - { - "start": "22:15.24", - "stop": "22:15.64", - "speaker": "Tutor", - "dialogue": "Miles." - }, - { - "start": "22:19.00", - "stop": "22:19.20", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "22:19.72", - "stop": "22:19.96", - "speaker": "Tutor", - "dialogue": "That's" - }, - { - "start": "22:20.04", - "stop": "22:20.08", - "speaker": "Student", - "dialogue": "Not." - }, - { - "start": "22:28.20", - "stop": "22:28.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "22:28.52", - "stop": "22:33.80", - "speaker": "Student", - "dialogue": "So, my, my gra, my um, labeling is not really to scale, but." - }, - { - "start": "22:35.80", - "stop": "22:36.32", - "speaker": "Tutor", - "dialogue": "Let's see." - }, - { - "start": "22:51.52", - "stop": "22:55.16", - "speaker": "Student", - "dialogue": "And then, lastly, Ea, to is." - }, - { - "start": "22:57.36", - "stop": "22:57.84", - "speaker": "Tutor", - "dialogue": "Eleven." - }, - { - "start": "23:05.72", - "stop": "23:05.84", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "23:05.88", - "stop": "23:05.92", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "23:06.12", - "stop": "23:24.00", - "speaker": "Student", - "dialogue": "And we also don't know what the total distance from Uh, New Ark to Uh, I mean from Providence to Newark is, so I'm not really sure if a hundred fifty from like A to F is like the whole thing from Providence to New Yark." - }, - { - "start": "23:25.04", - "stop": "23:25.88", - "speaker": "Student", - "dialogue": "We're gona assume" - }, - { - "start": "23:26.04", - "stop": "23:28.32", - "speaker": "Student", - "dialogue": "we're gonna assume it is okay." - }, - { - "start": "23:31.52", - "stop": "23:31.56", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "23:31.80", - "stop": "23:36.68", - "speaker": "Student", - "dialogue": "That's my graph, also like Uh, I, I get that like." - }, - { - "start": "23:37.76", - "stop": "23:41.68", - "speaker": "Student", - "dialogue": "I don't know why, but like eleven miles is the same as thirty nine." - }, - { - "start": "23:41.96", - "stop": "23:47.36", - "speaker": "Student", - "dialogue": "The like, the marking and the graph, like eleven miles is the same as thirty nine miles." - }, - { - "start": "23:48.12", - "stop": "23:50.12", - "speaker": "Student", - "dialogue": "But I'm not sure how you change it." - }, - { - "start": "23:50.52", - "stop": "23:54.36", - "speaker": "Student", - "dialogue": "So you, If you, if it was easier to erace, you would say" - }, - { - "start": "23:54.56", - "stop": "23:58.16", - "speaker": "Student", - "dialogue": "I actually want to make the distance between these points on the map." - }, - { - "start": "23:59.28", - "stop": "24:00.28", - "speaker": "Student", - "dialogue": "Yeah, like smaller." - }, - { - "start": "24:00.44", - "stop": "24:02.92", - "speaker": "Student", - "dialogue": "Yeah, like that works." - }, - { - "start": "24:03.04", - "stop": "24:03.68", - "speaker": "Student", - "dialogue": "You're explaining it." - }, - { - "start": "24:03.80", - "stop": "24:05.12", - "speaker": "Student", - "dialogue": "I understand what you mean by that." - }, - { - "start": "24:05.28", - "stop": "24:05.80", - "speaker": "Student", - "dialogue": "That's cool." - }, - { - "start": "24:06.64", - "stop": "24:09.64", - "speaker": "Student", - "dialogue": "Um, I am curious about." - }, - { - "start": "24:11.16", - "stop": "24:20.12", - "speaker": "Student", - "dialogue": "Let's look at A to b. For example, Onm, On the map, it's a curvey line from A to B, but on the graph it's a straight line." - }, - { - "start": "24:23.04", - "stop": "24:23.08", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "24:24.48", - "stop": "24:27.64", - "speaker": "Student", - "dialogue": "So on the graph." - }, - { - "start": "24:29.76", - "stop": "24:29.96", - "speaker": "Tutor", - "dialogue": "It's" - }, - { - "start": "24:30.16", - "stop": "24:31.48", - "speaker": "Student", - "dialogue": "Not really talking about." - }, - { - "start": "24:33.00", - "stop": "24:34.88", - "speaker": "Student", - "dialogue": "It's talking about the distance like." - }, - { - "start": "24:37.88", - "stop": "24:37.92", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "24:40.48", - "stop": "24:40.52", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "24:40.72", - "stop": "24:40.76", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "24:40.92", - "stop": "24:47.72", - "speaker": "Student", - "dialogue": "The the line doesn't have to be straight, because like uh, wait, let me try Sle." - }, - { - "start": "24:48.56", - "stop": "24:48.84", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "24:50.88", - "stop": "24:50.92", - "speaker": "Tutor", - "dialogue": "On." - }, - { - "start": "24:51.20", - "stop": "24:51.88", - "speaker": "Student", - "dialogue": "The grash." - }, - { - "start": "24:55.64", - "stop": "24:55.68", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "24:56.08", - "stop": "25:01.80", - "speaker": "Student", - "dialogue": "Dis like the distance isn't talking about the, It doesn't have to be straight because." - }, - { - "start": "25:04.48", - "stop": "25:04.52", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "25:05.32", - "stop": "25:16.12", - "speaker": "Student", - "dialogue": "It's like how much you traveled, but like, not necessarily, Uh, the shape of the path you traveled so." - }, - { - "start": "25:19.16", - "stop": "25:19.28", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "25:20.36", - "stop": "25:29.60", - "speaker": "Student", - "dialogue": "Like on the actual road you, there's going to be a lot of curves and um like different curves." - }, - { - "start": "25:29.84", - "stop": "25:36.68", - "speaker": "Student", - "dialogue": "But like that doesn't like that doesn't mean that on the graph you." - }, - { - "start": "25:38.36", - "stop": "25:38.40", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "25:38.64", - "stop": "25:42.92", - "speaker": "Student", - "dialogue": "Mark the distance while the whill, the rate." - }, - { - "start": "25:43.04", - "stop": "25:52.32", - "speaker": "Student", - "dialogue": "Oh, actually, No, this, this fline is talking about the Uh, like the rate at which the car travels." - }, - { - "start": "25:55.04", - "stop": "25:55.08", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "25:56.52", - "stop": "25:56.80", - "speaker": "Student", - "dialogue": "It's not." - }, - { - "start": "25:57.08", - "stop": "26:02.68", - "speaker": "Student", - "dialogue": "It's not really talking about the dist like it's not talking about the distance like this blue line." - }, - { - "start": "26:03.84", - "stop": "26:13.20", - "speaker": "Student", - "dialogue": "And so yeah, So if the blue line isn't really talking about the distance and the blue line isn't really talking about the shape of the road." - }, - { - "start": "26:13.96", - "stop": "26:15.56", - "speaker": "Student", - "dialogue": "What is the blue line talking about?" - }, - { - "start": "26:15.60", - "stop": "26:17.92", - "speaker": "Student", - "dialogue": "Then it's talkingb" - }, - { - "start": "26:18.16", - "stop": "26:21.16", - "speaker": "Student", - "dialogue": "Well, in the situation, it's talking about the speed of the car." - }, - { - "start": "26:22.92", - "stop": "26:35.56", - "speaker": "Student", - "dialogue": "So in any graph, the stuff that's going on in the middle is talking about the relationship between the two variables that are being graphed." - }, - { - "start": "26:36.68", - "stop": "26:46.92", - "speaker": "Student", - "dialogue": "So the relationship between distance and time is what this blue line represents, And you did a good job of saying it doesn't represent the actual shape of the road." - }, - { - "start": "26:47.44", - "stop": "26:53.40", - "speaker": "Student", - "dialogue": "It represents the relationship between these two things that we're measuring or keeping track of in this situation." - }, - { - "start": "26:54.72", - "stop": "27:00.92", - "speaker": "Student", - "dialogue": "Yeah, yeah, always always think about that with graphs." - }, - { - "start": "27:02.08", - "stop": "27:07.44", - "speaker": "Student", - "dialogue": "What's going on in the middle is describing the relationship between how these two things are changing." - }, - { - "start": "27:09.88", - "stop": "27:10.00", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "27:10.12", - "stop": "27:10.20", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "27:10.32", - "stop": "27:11.08", - "speaker": "Student", - "dialogue": "Does that makes sense?" - }, - { - "start": "27:12.36", - "stop": "27:17.12", - "speaker": "Student", - "dialogue": "Yep, Okay, So on that note, I'm going to ask you to create a graph." - }, - { - "start": "27:17.24", - "stop": "27:20.60", - "speaker": "Student", - "dialogue": "Now, Any predictions about what I want you to graph?" - }, - { - "start": "27:24.08", - "stop": "27:24.20", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "27:26.16", - "stop": "27:26.52", - "speaker": "Student", - "dialogue": "Ay." - }, - { - "start": "27:26.64", - "stop": "27:26.88", - "speaker": "Tutor", - "dialogue": "Graph." - }, - { - "start": "27:27.00", - "stop": "27:28.48", - "speaker": "Student", - "dialogue": "For this problem, right, it is." - }, - { - "start": "27:46.64", - "stop": "27:46.68", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "27:46.88", - "stop": "27:47.12", - "speaker": "Student", - "dialogue": "Maybe." - }, - { - "start": "27:47.28", - "stop": "27:47.32", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "27:47.52", - "stop": "27:56.76", - "speaker": "Student", - "dialogue": "A a similar graph, but um, like, Maybe it'll be like labeled Uh." - }, - { - "start": "27:59.52", - "stop": "27:59.56", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "27:59.76", - "stop": "28:00.56", - "speaker": "Student", - "dialogue": "Instead of uh?" - }, - { - "start": "28:08.72", - "stop": "28:08.76", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "28:08.96", - "stop": "28:12.48", - "speaker": "Student", - "dialogue": "Instead of a line, I mean, I'm not sure if first problem." - }, - { - "start": "28:12.68", - "stop": "28:38.16", - "speaker": "Student", - "dialogue": "if the blue line, the blue, uh, line uh is if it's a line, Sgment or a line, but for like the, If it's like a similar graph, I probably put like a little dot at the end at point, maybe, and that'll like, represent the total like that, and then I'll label it like uh, the." - }, - { - "start": "28:41.56", - "stop": "28:41.68", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "28:42.48", - "stop": "28:43.68", - "speaker": "Student", - "dialogue": "To like, I'll La." - }, - { - "start": "28:43.96", - "stop": "28:44.60", - "speaker": "Student", - "dialogue": "I'll label it." - }, - { - "start": "28:45.64", - "stop": "28:56.60", - "speaker": "Student", - "dialogue": "I'll label the graph, Maybe a J, like the journey from Providence to New York, And then like I put, I'll put like a line segment" - }, - { - "start": "28:56.72", - "stop": "29:05.08", - "speaker": "Student", - "dialogue": "instead, So like I'll put like a dot at the end over here, Cause that would help you because you were unsure of where it ended and if that was the total distance." - }, - { - "start": "29:06.20", - "stop": "29:15.12", - "speaker": "Student", - "dialogue": "Yeah, okay, you are going to get to label some dots, seg our points and segments and stuff in the situation." - }, - { - "start": "29:16.88", - "stop": "29:17.04", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "29:17.08", - "stop": "29:18.80", - "speaker": "Student", - "dialogue": "Yeah, and there's also like New York City." - }, - { - "start": "29:19.28", - "stop": "29:19.52", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "29:20.20", - "stop": "29:21.12", - "speaker": "Student", - "dialogue": "so now?" - }, - { - "start": "29:23.36", - "stop": "29:23.40", - "speaker": "Tutor", - "dialogue": "With." - }, - { - "start": "29:23.64", - "stop": "29:40.56", - "speaker": "Student", - "dialogue": "The map with what you know about the distance and the time and the rates and speeds and slopes, create a graph, a sketch of what you think it would look like to represent the relationship between hours and speed in this situation." - }, - { - "start": "29:41.64", - "stop": "29:42.72", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "30:04.04", - "stop": "30:04.08", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "30:04.40", - "stop": "30:10.04", - "speaker": "Student", - "dialogue": "Usually, time is on is the independent variable, but now it's like the dependent variable." - }, - { - "start": "30:10.76", - "stop": "30:12.88", - "speaker": "Student", - "dialogue": "Ooh, that's powerful." - }, - { - "start": "30:13.16", - "stop": "30:16.40", - "speaker": "Student", - "dialogue": "Does time always have to be the independent?" - }, - { - "start": "30:19.40", - "stop": "30:19.44", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "30:20.80", - "stop": "30:23.20", - "speaker": "Student", - "dialogue": "No, because in a S graph, it is what?" - }, - { - "start": "30:23.36", - "stop": "30:29.76", - "speaker": "Student", - "dialogue": "if it wasn't on this graph before this before I uncovered this, Would you tell me time always has to be on the X axis?" - }, - { - "start": "30:31.56", - "stop": "30:31.60", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "30:31.72", - "stop": "30:41.92", - "speaker": "Student", - "dialogue": "Mean, if you a, if I didn't think about it, I'd probably say yes, because like most graphs, uh, they show time as the axis." - }, - { - "start": "30:43.24", - "stop": "30:43.28", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "30:43.92", - "stop": "30:49.04", - "speaker": "Student", - "dialogue": "And in fact, some teachers or some books may say that it has to be on the Ex" - }, - { - "start": "30:49.24", - "stop": "30:51.20", - "speaker": "Student", - "dialogue": "axis, But that's not true." - }, - { - "start": "30:51.68", - "stop": "30:55.32", - "speaker": "Student", - "dialogue": "It can go on the Y axis, just like this one." - }, - { - "start": "30:55.64", - "stop": "30:57.60", - "speaker": "Student", - "dialogue": "And because, what do we talk about?" - }, - { - "start": "30:57.80", - "stop": "31:00.08", - "speaker": "Student", - "dialogue": "What does what happens in the middle of a graph?" - }, - { - "start": "31:01.64", - "stop": "31:01.84", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "31:01.92", - "stop": "31:11.68", - "speaker": "Student", - "dialogue": "It's a relationship between Um, the the X and the I, Exactly So" - }, - { - "start": "31:11.96", - "stop": "31:20.40", - "speaker": "Student", - "dialogue": "In that instance, then if we are just grapping the relationship between time and speed, either could go on either axis." - }, - { - "start": "31:20.72", - "stop": "31:22.12", - "speaker": "Student", - "dialogue": "That's a cool observation you made." - }, - { - "start": "31:25.52", - "stop": "31:25.76", - "speaker": "Tutor", - "dialogue": "It'll" - }, - { - "start": "31:25.80", - "stop": "31:32.56", - "speaker": "Student", - "dialogue": "Feel a little funky because you're used to it being on the X axis, right, Hm, but it's going to make your brain think in a deeper way." - }, - { - "start": "31:35.36", - "stop": "31:35.68", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "31:35.72", - "stop": "31:44.28", - "speaker": "Student", - "dialogue": "I'm going to grap the y, f, um axis first, I, I'm gonna just label it 'cause I, um." - }, - { - "start": "31:44.56", - "stop": "31:52.64", - "speaker": "Student", - "dialogue": "I'm still not sure about X right now, so why time?" - }, - { - "start": "31:53.28", - "stop": "31:54.72", - "speaker": "Student", - "dialogue": "so I'm we." - }, - { - "start": "32:02.44", - "stop": "32:02.48", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "32:02.72", - "stop": "32:03.00", - "speaker": "Student", - "dialogue": "Probably." - }, - { - "start": "32:03.12", - "stop": "32:03.32", - "speaker": "Tutor", - "dialogue": "Wait." - }, - { - "start": "32:03.48", - "stop": "32:12.20", - "speaker": "Student", - "dialogue": "Let me just see recenth." - }, - { - "start": "32:12.68", - "stop": "32:12.72", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "32:12.92", - "stop": "32:17.00", - "speaker": "Student", - "dialogue": "Happen againk." - }, - { - "start": "32:34.20", - "stop": "32:34.48", - "speaker": "Tutor", - "dialogue": "Two." - }, - { - "start": "32:56.32", - "stop": "32:56.64", - "speaker": "Student", - "dialogue": "Time." - }, - { - "start": "32:58.88", - "stop": "32:58.92", - "speaker": "Tutor", - "dialogue": "M." - }, - { - "start": "33:27.40", - "stop": "33:27.44", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "33:27.64", - "stop": "33:27.68", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "33:27.84", - "stop": "33:28.16", - "speaker": "Student", - "dialogue": "Remember?" - }, - { - "start": "33:28.28", - "stop": "33:28.44", - "speaker": "Tutor", - "dialogue": "When?" - }, - { - "start": "33:28.48", - "stop": "33:31.88", - "speaker": "Student", - "dialogue": "We were talking about the uh speed." - }, - { - "start": "33:32.60", - "stop": "33:33.96", - "speaker": "Student", - "dialogue": "I remember, we talked like." - }, - { - "start": "33:34.20", - "stop": "33:42.56", - "speaker": "Student", - "dialogue": "I think the fastest speed we talked about was like fifty fifty miles per hour, so." - }, - { - "start": "33:44.76", - "stop": "33:44.80", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "33:44.92", - "stop": "33:47.44", - "speaker": "Student", - "dialogue": "Think I'm goinga label this Ffty." - }, - { - "start": "33:51.56", - "stop": "33:51.60", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "34:15.60", - "stop": "34:15.84", - "speaker": "Student", - "dialogue": "Two." - }, - { - "start": "34:58.80", - "stop": "34:59.16", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "35:12.60", - "stop": "35:12.84", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "36:04.32", - "stop": "36:04.36", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "36:16.24", - "stop": "36:16.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "36:16.68", - "stop": "36:16.72", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "36:16.96", - "stop": "36:17.00", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "36:17.24", - "stop": "36:17.28", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "36:18.24", - "stop": "36:18.56", - "speaker": "Student", - "dialogue": "Second." - }, - { - "start": "36:18.72", - "stop": "36:18.96", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "36:19.00", - "stop": "36:19.04", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "36:19.24", - "stop": "36:19.28", - "speaker": "Tutor", - "dialogue": "For." - }, - { - "start": "36:19.68", - "stop": "36:19.72", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "36:19.88", - "stop": "36:20.16", - "speaker": "Tutor", - "dialogue": "First." - }, - { - "start": "36:20.44", - "stop": "36:20.68", - "speaker": "Student", - "dialogue": "Hour." - }, - { - "start": "36:21.52", - "stop": "36:21.56", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "36:22.36", - "stop": "36:25.28", - "speaker": "Student", - "dialogue": "I know that the speed is fifty." - }, - { - "start": "36:26.96", - "stop": "36:31.32", - "speaker": "Student", - "dialogue": "Uh, but for the second hour I think I'm like confused" - }, - { - "start": "36:32.24", - "stop": "36:42.44", - "speaker": "Student", - "dialogue": "if it's talking about, Um, the interval like uh, one to two, or like the total like zero, towo, two." - }, - { - "start": "36:44.72", - "stop": "36:44.76", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "36:45.24", - "stop": "36:47.52", - "speaker": "Student", - "dialogue": "From B to C." - }, - { - "start": "36:49.36", - "stop": "36:49.48", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "36:49.64", - "stop": "36:55.36", - "speaker": "Student", - "dialogue": "Much time is increasing, decreasing or staying the same, And how much?" - }, - { - "start": "36:55.84", - "stop": "36:57.36", - "speaker": "Student", - "dialogue": "whats the speed from B to C?" - }, - { - "start": "36:59.76", - "stop": "36:59.96", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "37:00.08", - "stop": "37:08.36", - "speaker": "Student", - "dialogue": "B to C, the speed is zero and the time is." - }, - { - "start": "37:10.44", - "stop": "37:10.48", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "37:10.72", - "stop": "37:11.64", - "speaker": "Student", - "dialogue": "Zero point five." - }, - { - "start": "37:13.52", - "stop": "37:13.56", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "37:13.80", - "stop": "37:17.60", - "speaker": "Student", - "dialogue": "That means for how long did the cargo wet speed?" - }, - { - "start": "37:19.48", - "stop": "37:19.72", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "37:21.08", - "stop": "37:33.72", - "speaker": "Student", - "dialogue": "So the car goes for half an hour at zero miles per hour, So how could you show that in your grash?" - }, - { - "start": "37:42.32", - "stop": "37:42.36", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "37:43.72", - "stop": "37:43.76", - "speaker": "Student", - "dialogue": "N." - }, - { - "start": "37:43.96", - "stop": "37:44.00", - "speaker": "Tutor", - "dialogue": "S." - }, - { - "start": "37:44.36", - "stop": "37:44.68", - "speaker": "Student", - "dialogue": "This is." - }, - { - "start": "37:52.52", - "stop": "37:52.76", - "speaker": "Tutor", - "dialogue": "Hold." - }, - { - "start": "37:52.88", - "stop": "37:52.92", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "38:04.20", - "stop": "38:04.24", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "38:04.48", - "stop": "38:04.76", - "speaker": "Student", - "dialogue": "Hold." - }, - { - "start": "38:04.84", - "stop": "38:04.88", - "speaker": "Tutor", - "dialogue": "On." - }, - { - "start": "38:05.36", - "stop": "38:05.48", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "38:06.60", - "stop": "38:06.64", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "38:06.88", - "stop": "38:07.24", - "speaker": "Student", - "dialogue": "Need it." - }, - { - "start": "38:18.72", - "stop": "38:18.96", - "speaker": "Tutor", - "dialogue": "Sorry." - }, - { - "start": "38:19.16", - "stop": "38:19.20", - "speaker": "Student", - "dialogue": "My." - }, - { - "start": "38:19.32", - "stop": "38:19.56", - "speaker": "Tutor", - "dialogue": "Brother." - }, - { - "start": "38:19.68", - "stop": "38:22.32", - "speaker": "Student", - "dialogue": "Needa something from myh, no worries." - }, - { - "start": "38:25.92", - "stop": "38:26.00", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "38:26.12", - "stop": "38:27.76", - "speaker": "Student", - "dialogue": "Right, need a be?" - }, - { - "start": "38:38.04", - "stop": "38:38.08", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "38:51.80", - "stop": "38:51.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "38:52.08", - "stop": "38:52.12", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "38:52.32", - "stop": "38:52.56", - "speaker": "Student", - "dialogue": "Point." - }, - { - "start": "38:52.68", - "stop": "38:52.72", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "38:52.80", - "stop": "38:58.84", - "speaker": "Student", - "dialogue": "You wrote here, Mhm, Andn you have A to B. explain to me what that means to you." - }, - { - "start": "39:01.32", - "stop": "39:01.36", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "39:02.72", - "stop": "39:05.32", - "speaker": "Student", - "dialogue": "A to B is talking about." - }, - { - "start": "39:07.44", - "stop": "39:07.48", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "39:09.16", - "stop": "39:14.36", - "speaker": "Student", - "dialogue": "First, like interval, so at the from A to B." - }, - { - "start": "39:16.72", - "stop": "39:16.76", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "39:18.16", - "stop": "39:29.56", - "speaker": "Student", - "dialogue": "Speed, the speed is fifty miles per hour, and the time it, the time from eight to be is one hour." - }, - { - "start": "39:31.04", - "stop": "39:40.08", - "speaker": "Student", - "dialogue": "so a point right here says at the one hour mark, the car is going fifty miles an hour." - }, - { - "start": "39:41.84", - "stop": "39:51.52", - "speaker": "Student", - "dialogue": "What you described in words was the car is travelling fifty miles per hour for one hour." - }, - { - "start": "39:56.44", - "stop": "39:56.48", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "39:56.64", - "stop": "40:00.72", - "speaker": "Student", - "dialogue": "Single point shows a single moment in time." - }, - { - "start": "40:02.56", - "stop": "40:06.52", - "speaker": "Student", - "dialogue": "How can you show the car going fifty miles an hour?" - }, - { - "start": "40:09.24", - "stop": "40:09.28", - "speaker": "Tutor", - "dialogue": "For." - }, - { - "start": "40:10.32", - "stop": "40:11.72", - "speaker": "Student", - "dialogue": "An hour's worth of time." - }, - { - "start": "40:17.24", - "stop": "40:17.28", - "speaker": "Tutor", - "dialogue": "M." - }, - { - "start": "40:23.00", - "stop": "40:23.20", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "40:23.40", - "stop": "40:23.44", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "40:23.92", - "stop": "40:28.36", - "speaker": "Student", - "dialogue": "Maybe I can't do, so I don't think that's right now, so." - }, - { - "start": "40:30.60", - "stop": "40:30.88", - "speaker": "Tutor", - "dialogue": "Maybe." - }, - { - "start": "40:30.96", - "stop": "40:38.64", - "speaker": "Student", - "dialogue": "Like, I need one point for A, and like one point for B, and then I can connect it with like a line." - }, - { - "start": "40:39.00", - "stop": "40:41.12", - "speaker": "Student", - "dialogue": "Yeah, how can you show that same interval?" - }, - { - "start": "40:42.92", - "stop": "40:42.96", - "speaker": "Tutor", - "dialogue": "But" - }, - { - "start": "40:43.12", - "stop": "40:44.20", - "speaker": "Student", - "dialogue": "You talked about over here." - }, - { - "start": "40:44.32", - "stop": "40:50.00", - "speaker": "Student", - "dialogue": "That's cool thinking because an interval is made up of point A and point B, and everything's in between it." - }, - { - "start": "40:51.28", - "stop": "40:53.00", - "speaker": "Student", - "dialogue": "How can you show that in your graph?" - }, - { - "start": "40:54.40", - "stop": "40:55.60", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "40:59.12", - "stop": "40:59.48", - "speaker": "Tutor", - "dialogue": "Slow." - }, - { - "start": "41:29.48", - "stop": "41:29.80", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "41:31.28", - "stop": "41:31.32", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "41:31.92", - "stop": "41:32.16", - "speaker": "Student", - "dialogue": "Maybe." - }, - { - "start": "41:32.28", - "stop": "41:32.32", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "41:32.44", - "stop": "41:34.20", - "speaker": "Student", - "dialogue": "This one ouight be like B." - }, - { - "start": "41:36.72", - "stop": "41:36.84", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "41:45.52", - "stop": "41:45.56", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "41:45.76", - "stop": "41:45.96", - "speaker": "Tutor", - "dialogue": "Then." - }, - { - "start": "41:46.88", - "stop": "41:47.16", - "speaker": "Student", - "dialogue": "Hey." - }, - { - "start": "41:51.96", - "stop": "41:52.00", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "41:59.84", - "stop": "42:00.00", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "42:00.08", - "stop": "42:00.32", - "speaker": "Tutor", - "dialogue": "Here." - }, - { - "start": "42:07.28", - "stop": "42:07.32", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "42:07.52", - "stop": "42:07.64", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "42:07.76", - "stop": "42:08.68", - "speaker": "Student", - "dialogue": "A is right there." - }, - { - "start": "42:09.20", - "stop": "42:10.96", - "speaker": "Student", - "dialogue": "That's telling me cool." - }, - { - "start": "42:11.08", - "stop": "42:13.44", - "speaker": "Student", - "dialogue": "I see a point A and a point B and an interval." - }, - { - "start": "42:13.80", - "stop": "42:18.92", - "speaker": "Student", - "dialogue": "So now let's look and see what that is being described as Point A is." - }, - { - "start": "42:19.36", - "stop": "42:21.64", - "speaker": "Student", - "dialogue": "The car would bed, traveling how fast." - }, - { - "start": "42:23.68", - "stop": "42:23.72", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "42:24.24", - "stop": "42:31.40", - "speaker": "Student", - "dialogue": "Zero, a milestrower, and then somewhere in between." - }, - { - "start": "42:33.48", - "stop": "42:33.88", - "speaker": "Tutor", - "dialogue": "Starting." - }, - { - "start": "42:34.16", - "stop": "42:37.68", - "speaker": "Student", - "dialogue": "And one hour into the trip the car is going this fast." - }, - { - "start": "42:38.76", - "stop": "42:39.48", - "speaker": "Student", - "dialogue": "How fast is it" - }, - { - "start": "42:41.64", - "stop": "42:42.44", - "speaker": "Student", - "dialogue": "it's going?" - }, - { - "start": "42:48.08", - "stop": "42:48.32", - "speaker": "Tutor", - "dialogue": "Thirty." - }, - { - "start": "42:48.44", - "stop": "42:58.92", - "speaker": "Student", - "dialogue": "Miles per hour, but over here you told me that from point A to point B, or this entire part of the journey, the cars traveling fifty miles an hour." - }, - { - "start": "43:00.80", - "stop": "43:00.96", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "43:01.08", - "stop": "43:02.52", - "speaker": "Student", - "dialogue": "So that doesn't make sense." - }, - { - "start": "43:05.52", - "stop": "43:05.72", - "speaker": "Tutor", - "dialogue": "Hm." - }, - { - "start": "43:07.00", - "stop": "43:07.84", - "speaker": "Student", - "dialogue": "Oh, I get it." - }, - { - "start": "43:08.16", - "stop": "43:11.52", - "speaker": "Student", - "dialogue": "so maybe oh, hold on." - }, - { - "start": "43:12.80", - "stop": "43:22.64", - "speaker": "Student", - "dialogue": "so maybe I'll move point a. like um, point A would be would form like a horizontal line with point B." - }, - { - "start": "43:24.96", - "stop": "43:25.08", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "43:37.36", - "stop": "43:37.56", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "43:39.24", - "stop": "43:39.76", - "speaker": "Tutor", - "dialogue": "Fifteen." - }, - { - "start": "43:51.16", - "stop": "43:51.40", - "speaker": "Student", - "dialogue": "Would?" - }, - { - "start": "43:51.48", - "stop": "43:51.52", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "43:51.64", - "stop": "43:59.40", - "speaker": "Student", - "dialogue": "Be like a vertical line like, 'cause, like at any point it has to be fifty miles per hour." - }, - { - "start": "44:02.08", - "stop": "44:02.24", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "44:02.28", - "stop": "44:02.96", - "speaker": "Student", - "dialogue": "You asking me?" - }, - { - "start": "44:05.12", - "stop": "44:12.00", - "speaker": "Student", - "dialogue": "uh, I'm just um thinking thinking I'm not goinga rob you of the opportunity to make sense of it yourself, so you keep." - }, - { - "start": "44:12.12", - "stop": "44:12.36", - "speaker": "Tutor", - "dialogue": "Thinking." - }, - { - "start": "44:13.72", - "stop": "44:15.64", - "speaker": "Student", - "dialogue": "Why would it be a vertical line in your mind?" - }, - { - "start": "44:24.08", - "stop": "44:24.12", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "44:24.52", - "stop": "44:36.60", - "speaker": "Student", - "dialogue": "This suld be like A and then uh B. us one hour, Uh, Like, kind of like that because the speed is like always fifty." - }, - { - "start": "44:39.04", - "stop": "44:39.08", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "44:39.32", - "stop": "44:40.36", - "speaker": "Student", - "dialogue": "Then the time." - }, - { - "start": "44:42.44", - "stop": "44:42.48", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "44:42.72", - "stop": "44:45.44", - "speaker": "Student", - "dialogue": "Like, yeah, I think it's I. I'm pretty sure it's like this." - }, - { - "start": "44:46.72", - "stop": "44:47.84", - "speaker": "Student", - "dialogue": "Have you convinced yourself?" - }, - { - "start": "44:48.44", - "stop": "44:49.80", - "speaker": "Student", - "dialogue": "Yeah, all right, you're good to go." - }, - { - "start": "44:50.04", - "stop": "44:50.52", - "speaker": "Student", - "dialogue": "Keep going." - }, - { - "start": "44:53.68", - "stop": "44:53.80", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "44:53.88", - "stop": "44:55.32", - "speaker": "Student", - "dialogue": "Right, So from B a C?" - }, - { - "start": "45:44.36", - "stop": "45:44.68", - "speaker": "Tutor", - "dialogue": "Sree." - }, - { - "start": "45:59.24", - "stop": "45:59.60", - "speaker": "Student", - "dialogue": "Mmmm." - }, - { - "start": "46:11.72", - "stop": "46:12.00", - "speaker": "Tutor", - "dialogue": "God." - }, - { - "start": "48:23.52", - "stop": "48:23.84", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "48:25.00", - "stop": "48:28.96", - "speaker": "Student", - "dialogue": "You did such a good job of writing and moving as you were thinking, and what you were thinking." - }, - { - "start": "48:30.40", - "stop": "48:30.44", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "48:30.64", - "stop": "48:33.64", - "speaker": "Student", - "dialogue": "Have one or almost at a time, but I have two." - }, - { - "start": "48:33.76", - "stop": "48:38.32", - "speaker": "Student", - "dialogue": "I think final questions for you, can grass look like this?" - }, - { - "start": "48:57.20", - "stop": "48:57.24", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "48:57.36", - "stop": "48:57.40", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "48:57.52", - "stop": "48:57.56", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "48:57.68", - "stop": "48:59.84", - "speaker": "Student", - "dialogue": "Think is it okay for grass to look like this?" - }, - { - "start": "49:02.72", - "stop": "49:02.88", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "49:02.96", - "stop": "49:03.96", - "speaker": "Student", - "dialogue": "Sorry, I think I think." - }, - { - "start": "49:04.28", - "stop": "49:05.64", - "speaker": "Student", - "dialogue": "Um, you cut out on my end." - }, - { - "start": "49:05.80", - "stop": "49:06.24", - "speaker": "Student", - "dialogue": "Oh, sorry." - }, - { - "start": "49:06.56", - "stop": "49:07.36", - "speaker": "Student", - "dialogue": "Can you hear me now?" - }, - { - "start": "49:07.84", - "stop": "49:10.76", - "speaker": "Student", - "dialogue": "Yeah, yeah, yeah, is it okay for graphs to look like this?" - }, - { - "start": "49:13.08", - "stop": "49:13.12", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "49:13.36", - "stop": "49:17.24", - "speaker": "Student", - "dialogue": "I think that it is because well, I know" - }, - { - "start": "49:17.40", - "stop": "49:26.40", - "speaker": "Student", - "dialogue": "there are different types of graphs out there, Um, depending on like the purpose, like what the graph is trying to show." - }, - { - "start": "49:28.92", - "stop": "49:28.96", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "49:29.08", - "stop": "49:29.20", - "speaker": "Student", - "dialogue": "Mean." - }, - { - "start": "49:31.04", - "stop": "49:31.48", - "speaker": "Tutor", - "dialogue": "Personally." - }, - { - "start": "49:31.56", - "stop": "49:44.92", - "speaker": "Student", - "dialogue": "I don't think I would like I would relate to this kind of graph because it's kind of hard to understand for me because I don't see these kind of um kinds of graphs very often." - }, - { - "start": "49:47.20", - "stop": "49:47.24", - "speaker": "Tutor", - "dialogue": "But" - }, - { - "start": "49:47.76", - "stop": "49:53.84", - "speaker": "Student", - "dialogue": "I don't think there's like anything like wrong with it, so I guess" - }, - { - "start": "49:53.92", - "stop": "49:54.52", - "speaker": "Student", - "dialogue": "it's okay" - }, - { - "start": "49:54.92", - "stop": "49:59.40", - "speaker": "Student", - "dialogue": "And when we talked earlier, what does the graph keep track of it?" - }, - { - "start": "49:59.52", - "stop": "50:06.44", - "speaker": "Student", - "dialogue": "Here is keeping track of the relationship between speed and time." - }, - { - "start": "50:06.88", - "stop": "50:08.04", - "speaker": "Student", - "dialogue": "And does your graph do that?" - }, - { - "start": "50:09.64", - "stop": "50:12.04", - "speaker": "Student", - "dialogue": "Yeah, yeah, you save this interval." - }, - { - "start": "50:12.20", - "stop": "50:14.00", - "speaker": "Student", - "dialogue": "It's the speed for this amount of time." - }, - { - "start": "50:14.24", - "stop": "50:16.40", - "speaker": "Student", - "dialogue": "This interval is this speed for this amount of time." - }, - { - "start": "50:16.88", - "stop": "50:17.76", - "speaker": "Student", - "dialogue": "These graphs." - }, - { - "start": "50:17.92", - "stop": "50:21.48", - "speaker": "Student", - "dialogue": "You've never seen graphs like this, but yet no, I never." - }, - { - "start": "50:22.24", - "stop": "50:26.24", - "speaker": "Student", - "dialogue": "You will see Em as you continue on and they have a special name." - }, - { - "start": "50:26.36", - "stop": "50:34.56", - "speaker": "Student", - "dialogue": "They're called piecewise functions or pecewise graphs, so whenever you get to that you'll be like, Yeah, graphs can look like that" - }, - { - "start": "50:35.16", - "stop": "50:43.00", - "speaker": "Student", - "dialogue": "Just means that for us, just like over here it wasn't a nice straight line and you said it didn't have the same slope throughout." - }, - { - "start": "50:43.96", - "stop": "50:46.08", - "speaker": "Student", - "dialogue": "That's why it looks a little bit different over here." - }, - { - "start": "50:47.56", - "stop": "50:47.60", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "50:47.72", - "stop": "50:51.80", - "speaker": "Student", - "dialogue": "You'll work with those a lot as you move on, and then your final thinking question." - }, - { - "start": "50:53.08", - "stop": "50:59.40", - "speaker": "Student", - "dialogue": "Can B this point and B be this point at the same time?" - }, - { - "start": "51:00.92", - "stop": "51:01.08", - "speaker": "Tutor", - "dialogue": "Can?" - }, - { - "start": "51:01.24", - "stop": "51:05.32", - "speaker": "Student", - "dialogue": "D be this point and this point at the exact same time." - }, - { - "start": "51:10.20", - "stop": "51:10.40", - "speaker": "Tutor", - "dialogue": "Mm." - }, - { - "start": "51:10.96", - "stop": "51:11.00", - "speaker": "Student", - "dialogue": "Uh?" - }, - { - "start": "51:16.76", - "stop": "51:16.96", - "speaker": "Tutor", - "dialogue": "Well." - }, - { - "start": "51:18.52", - "stop": "51:23.56", - "speaker": "Student", - "dialogue": "Do you okay, so I'm think I think I like the way, kind of like do." - }, - { - "start": "51:28.92", - "stop": "51:29.16", - "speaker": "Tutor", - "dialogue": "It's" - }, - { - "start": "51:34.72", - "stop": "51:34.76", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "51:35.12", - "stop": "51:35.28", - "speaker": "Tutor", - "dialogue": "At." - }, - { - "start": "51:35.48", - "stop": "51:37.44", - "speaker": "Student", - "dialogue": "The same time." - }, - { - "start": "51:39.52", - "stop": "51:39.68", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "51:48.60", - "stop": "51:48.64", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "51:48.88", - "stop": "51:48.92", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "51:49.00", - "stop": "51:53.24", - "speaker": "Student", - "dialogue": "Don't I think this is like the only way I could think about it?" - }, - { - "start": "51:53.68", - "stop": "52:02.84", - "speaker": "Student", - "dialogue": "Like think of writing D. since like D is like kind of the middle, like the trans transition between like two different speeds." - }, - { - "start": "52:03.80", - "stop": "52:09.04", - "speaker": "Student", - "dialogue": "So like I, if you make D one point, I don't think that's possible." - }, - { - "start": "52:10.60", - "stop": "52:21.64", - "speaker": "Student", - "dialogue": "Um, considering, like the speed of Uh, the speed of D to E and the speed of D to C is different" - }, - { - "start": "52:22.32", - "stop": "52:24.52", - "speaker": "Student", - "dialogue": "Like you can't put the D in the middle." - }, - { - "start": "52:25.04", - "stop": "52:42.48", - "speaker": "Student", - "dialogue": "Is that like change, like the speed in between C to E, and like when you start creating these graphs, you'll have some that have a closed circle and some that have an open circle for D. And what that means is" - }, - { - "start": "52:42.60", - "stop": "52:54.96", - "speaker": "Student", - "dialogue": "it includes every single point up in two, really really close to D, but not exactly D. If it's an open circle and in Df, it's a closed circle is included down here." - }, - { - "start": "52:56.68", - "stop": "52:56.96", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "52:58.00", - "stop": "53:01.28", - "speaker": "Student", - "dialogue": "I see right we like." - }, - { - "start": "53:01.68", - "stop": "53:02.40", - "speaker": "Student", - "dialogue": "Does that mean?" - }, - { - "start": "53:02.92", - "stop": "53:15.68", - "speaker": "Student", - "dialogue": "So if you have like a like open circle, Um, and like a closed circle on Um, the other D, does that does that mean like?" - }, - { - "start": "53:18.56", - "stop": "53:18.60", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "53:18.72", - "stop": "53:20.24", - "speaker": "Student", - "dialogue": "You just plot d once." - }, - { - "start": "53:20.92", - "stop": "53:21.44", - "speaker": "Student", - "dialogue": "Yeah, you." - }, - { - "start": "53:22.56", - "stop": "53:24.44", - "speaker": "Student", - "dialogue": "you would still plot it in both spots" - }, - { - "start": "53:24.84", - "stop": "53:26.16", - "speaker": "Student", - "dialogue": "Like this is a technical math thing." - }, - { - "start": "53:26.20", - "stop": "53:33.64", - "speaker": "Student", - "dialogue": "You'd plot it in both spots to let us know that it's everything like infinitely close to D, but doesn't include" - }, - { - "start": "53:33.80", - "stop": "53:35.16", - "speaker": "Student", - "dialogue": "d. Oh, I see." - }, - { - "start": "53:35.32", - "stop": "53:37.72", - "speaker": "Student", - "dialogue": "so like D is like one point and like" - }, - { - "start": "53:38.56", - "stop": "53:41.08", - "speaker": "Student", - "dialogue": "So you don't like include D twice and the graph." - }, - { - "start": "53:41.48", - "stop": "53:42.64", - "speaker": "Student", - "dialogue": "Yeah, and." - }, - { - "start": "53:44.64", - "stop": "53:44.68", - "speaker": "Tutor", - "dialogue": "In." - }, - { - "start": "53:44.88", - "stop": "53:55.80", - "speaker": "Student", - "dialogue": "This particular situation, the way you drew this means the car is going fifty miles an hour, and then immediately stops and goes to hundred miles an hour" - }, - { - "start": "53:57.00", - "stop": "53:58.68", - "speaker": "Student", - "dialogue": "With physics, Can that really happen?" - }, - { - "start": "54:00.56", - "stop": "54:00.72", - "speaker": "Tutor", - "dialogue": "Can?" - }, - { - "start": "54:01.40", - "stop": "54:04.24", - "speaker": "Student", - "dialogue": "No, like there's going to be some deceleration right." - }, - { - "start": "54:04.84", - "stop": "54:06.04", - "speaker": "Student", - "dialogue": "So there is a lot more." - }, - { - "start": "54:06.08", - "stop": "54:07.68", - "speaker": "Student", - "dialogue": "And that's what's really cool about this graph." - }, - { - "start": "54:07.76", - "stop": "54:09.76", - "speaker": "Student", - "dialogue": "You could draw it and ride it a lot of different ways." - }, - { - "start": "54:09.84", - "stop": "54:12.80", - "speaker": "Student", - "dialogue": "It's just a matter of how you're describing that relationship." - }, - { - "start": "54:13.16", - "stop": "54:21.48", - "speaker": "Student", - "dialogue": "So the way you drew it is that we are pretending that this is a car that can instantly stop and then instantly go from" - }, - { - "start": "54:21.60", - "stop": "54:23.92", - "speaker": "Student", - "dialogue": "zero miles an hour to fifty miles an hour." - }, - { - "start": "54:28.84", - "stop": "54:28.88", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "54:28.96", - "stop": "54:30.64", - "speaker": "Student", - "dialogue": "Don't think that's fossil right now." - }, - { - "start": "54:31.24", - "stop": "54:33.72", - "speaker": "Student", - "dialogue": "No, but did you draw the relationship of the intervals?" - }, - { - "start": "54:34.60", - "stop": "54:37.60", - "speaker": "Student", - "dialogue": "Yep, that's the intervals and the speed that it's going at those time." - }, - { - "start": "54:37.64", - "stop": "54:41.76", - "speaker": "Student", - "dialogue": "It's also assuming the car is already going fifty miles an hour when it starts the journey." - }, - { - "start": "54:43.28", - "stop": "54:44.96", - "speaker": "Student", - "dialogue": "Mhm, so cool." - }, - { - "start": "54:45.20", - "stop": "54:51.44", - "speaker": "Student", - "dialogue": "I think graphs are pretty cool and fun because they tell a story depending on how you write them and how you draw them." - }, - { - "start": "54:51.96", - "stop": "55:06.64", - "speaker": "Student", - "dialogue": "Yeah, I think I think I learn a lot 'cause like I honestly, I never thought like I never loved graphs like this way, Like I never even heard about these graphs before, and I think it's really cool that I learned something new awesome." - }, - { - "start": "55:06.80", - "stop": "55:11.28", - "speaker": "Student", - "dialogue": "So whenever you're in class and they start talking about peace wise, and you're like, Oh, that's like the car." - }, - { - "start": "55:11.52", - "stop": "55:12.16", - "speaker": "Student", - "dialogue": "The speed thing." - }, - { - "start": "55:12.40", - "stop": "55:13.32", - "speaker": "Student", - "dialogue": "I know what that means." - }, - { - "start": "55:13.80", - "stop": "55:16.84", - "speaker": "Student", - "dialogue": "and you'll and then you'll also be asking yourself." - }, - { - "start": "55:16.88", - "stop": "55:18.12", - "speaker": "Student", - "dialogue": "Can e be in both spots?" - }, - { - "start": "55:18.48", - "stop": "55:19.68", - "speaker": "Student", - "dialogue": "Can e be in both spots?" - }, - { - "start": "55:19.84", - "stop": "55:22.12", - "speaker": "Student", - "dialogue": "No, where is it in this particular situation" - }, - { - "start": "55:22.40", - "stop": "55:29.68", - "speaker": "Student", - "dialogue": "And that's the one that's a closed circle and an open circle is the one that's everything infinitely close to it, but not exactly including it." - }, - { - "start": "55:31.68", - "stop": "55:32.00", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "55:33.12", - "stop": "55:33.44", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "55:34.00", - "stop": "55:34.12", - "speaker": "Student", - "dialogue": "all" - }, - { - "start": "55:34.24", - "stop": "55:34.36", - "speaker": "Student", - "dialogue": "right." - }, - { - "start": "55:34.44", - "stop": "55:37.28", - "speaker": "Student", - "dialogue": "Well, thank you so much for helping us." - }, - { - "start": "55:38.24", - "stop": "55:50.60", - "speaker": "Student", - "dialogue": "And if there's anything else that would be helpful for us to know, Um, in this situation or in this, you know, being learning on this platform or working with me, what is helpful for you and what wasn't helpful?" - }, - { - "start": "55:51.52", - "stop": "55:52.72", - "speaker": "Student", - "dialogue": "Do you have any feedback for us?" - }, - { - "start": "55:54.04", - "stop": "55:56.88", - "speaker": "Student", - "dialogue": "Um, I think I, I, I, kind of for me." - }, - { - "start": "55:57.04", - "stop": "55:59.92", - "speaker": "Student", - "dialogue": "I like this format, like of teaching." - }, - { - "start": "56:01.96", - "stop": "56:02.00", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "56:03.00", - "stop": "56:18.88", - "speaker": "Student", - "dialogue": "I feel like if um, like if you're struggling in school or you want like a head start in math, Like these classes are really interesting and I would definitely look forward to another lesson awesome." - }, - { - "start": "56:20.32", - "stop": "56:20.52", - "speaker": "Tutor", - "dialogue": "Well." - } -] \ No newline at end of file diff --git a/data/amber/7122022BC.json b/data/amber/7122022BC.json deleted file mode 100644 index 59d262c..0000000 --- a/data/amber/7122022BC.json +++ /dev/null @@ -1,3638 +0,0 @@ -[ - { - "start": "00:01.92", - "stop": "00:05.04", - "speaker": "Tutor", - "dialogue": "Okay, you should see something different on your screen." - }, - { - "start": "00:05.20", - "stop": "00:07.00", - "speaker": "Tutor", - "dialogue": "Now take a look at it." - }, - { - "start": "00:07.88", - "stop": "00:10.68", - "speaker": "Tutor", - "dialogue": "read it, and then explain to me" - }, - { - "start": "00:10.84", - "stop": "00:13.36", - "speaker": "Tutor", - "dialogue": "what you think is happening in this situation." - }, - { - "start": "00:24.04", - "stop": "00:38.08", - "speaker": "Student", - "dialogue": "A, is it just a path of a car journey from Providence, R, I to Newark, N J, through New York City, Y." - }, - { - "start": "00:38.64", - "stop": "00:42.32", - "speaker": "Tutor", - "dialogue": "I're going to start in Providence and drive down through Newark." - }, - { - "start": "00:43.16", - "stop": "00:49.24", - "speaker": "Tutor", - "dialogue": "What are some things that you think you might be able to measure in this situation as the car takes this journey?" - }, - { - "start": "00:50.12", - "stop": "00:51.56", - "speaker": "Student", - "dialogue": "The length of the car, I." - }, - { - "start": "00:53.12", - "stop": "00:53.80", - "speaker": "Tutor", - "dialogue": "Say more about that." - }, - { - "start": "00:53.88", - "stop": "00:55.24", - "speaker": "Tutor", - "dialogue": "What do you mean by the length of the car?" - }, - { - "start": "00:56.44", - "stop": "00:57.76", - "speaker": "Student", - "dialogue": "Or like how long it takes." - }, - { - "start": "00:59.60", - "stop": "01:02.80", - "speaker": "Tutor", - "dialogue": "What unit would you be using to measure that?" - }, - { - "start": "01:03.76", - "stop": "01:12.48", - "speaker": "Student", - "dialogue": "Um, miles, Okay." - }, - { - "start": "01:13.52", - "stop": "01:19.04", - "speaker": "Tutor", - "dialogue": "So we can measure the miles it takes to get from somewhere to somewhere else." - }, - { - "start": "01:20.72", - "stop": "01:20.76", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "01:21.04", - "stop": "01:22.40", - "speaker": "Tutor", - "dialogue": "Else could we measure?" - }, - { - "start": "01:30.16", - "stop": "01:30.44", - "speaker": "Student", - "dialogue": "Length." - }, - { - "start": "01:31.60", - "stop": "01:32.24", - "speaker": "Tutor", - "dialogue": "Length of what?" - }, - { - "start": "01:36.32", - "stop": "01:37.04", - "speaker": "Student", - "dialogue": "The car ride." - }, - { - "start": "01:38.04", - "stop": "01:39.04", - "speaker": "Student", - "dialogue": "sorry, I just woke." - }, - { - "start": "01:39.16", - "stop": "01:41.52", - "speaker": "Tutor", - "dialogue": "Up, go topologizing." - }, - { - "start": "01:41.92", - "stop": "01:46.44", - "speaker": "Tutor", - "dialogue": "Nope, and um, I'll ask you lots of questions as we're working together" - }, - { - "start": "01:47.00", - "stop": "01:50.72", - "speaker": "Tutor", - "dialogue": "And it doesn't necessarily mean that you have something wrong or anything like that." - }, - { - "start": "01:50.88", - "stop": "01:54.24", - "speaker": "Tutor", - "dialogue": "It just means I want to know more about how you're thinking or" - }, - { - "start": "01:54.60", - "stop": "01:57.76", - "speaker": "Tutor", - "dialogue": "I want to push you to go deeper in your thinking." - }, - { - "start": "01:58.96", - "stop": "02:04.04", - "speaker": "Tutor", - "dialogue": "It's also always okay to say I'm not sure, or since I can't see your face" - }, - { - "start": "02:04.64", - "stop": "02:09.88", - "speaker": "Tutor", - "dialogue": "if I ask you something, and you're like, Um, I want to think about that, then just verbalize that say I need." - }, - { - "start": "02:10.08", - "stop": "02:11.20", - "speaker": "Tutor", - "dialogue": "I need some time to think about." - }, - { - "start": "02:11.24", - "stop": "02:11.28", - "speaker": "Student", - "dialogue": "It" - }, - { - "start": "02:11.84", - "stop": "02:12.16", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "02:12.24", - "stop": "02:13.08", - "speaker": "Tutor", - "dialogue": "And that's cool, too." - }, - { - "start": "02:13.24", - "stop": "02:14.40", - "speaker": "Tutor", - "dialogue": "I don't expect you know." - }, - { - "start": "02:14.60", - "stop": "02:15.76", - "speaker": "Tutor", - "dialogue": "immediate quick answers." - }, - { - "start": "02:15.84", - "stop": "02:16.28", - "speaker": "Tutor", - "dialogue": "That's fine." - }, - { - "start": "02:17.56", - "stop": "02:18.96", - "speaker": "Student", - "dialogue": "Coolhh." - }, - { - "start": "02:19.04", - "stop": "02:21.80", - "speaker": "Tutor", - "dialogue": "All right, so you think we can measure how long it takes in miles?" - }, - { - "start": "02:22.60", - "stop": "02:26.08", - "speaker": "Tutor", - "dialogue": "Length would length also be miles or another unit?" - }, - { - "start": "02:30.60", - "stop": "02:33.60", - "speaker": "Student", - "dialogue": "Maybe another unit, another unit." - }, - { - "start": "02:33.88", - "stop": "02:36.84", - "speaker": "Tutor", - "dialogue": "What kind of unit might we use if not miles?" - }, - { - "start": "02:46.24", - "stop": "02:47.20", - "speaker": "Student", - "dialogue": "Sure, okay." - }, - { - "start": "02:47.64", - "stop": "02:49.48", - "speaker": "Tutor", - "dialogue": "Cool, We'll do some more thinking on that." - }, - { - "start": "02:49.64", - "stop": "02:51.80", - "speaker": "Tutor", - "dialogue": "Okay, I'm going to." - }, - { - "start": "02:53.68", - "stop": "02:54.08", - "speaker": "Student", - "dialogue": "Uncover." - }, - { - "start": "02:54.16", - "stop": "03:00.72", - "speaker": "Tutor", - "dialogue": "Something now, and I want you to think about what your predictions were, for what we could measure." - }, - { - "start": "03:01.20", - "stop": "03:04.12", - "speaker": "Tutor", - "dialogue": "how they are similar or different to what you see on the screen." - }, - { - "start": "03:10.12", - "stop": "03:10.28", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "03:10.44", - "stop": "03:10.68", - "speaker": "Tutor", - "dialogue": "Time." - }, - { - "start": "03:10.72", - "stop": "03:11.32", - "speaker": "Student", - "dialogue": "And distance?" - }, - { - "start": "03:13.24", - "stop": "03:17.48", - "speaker": "Tutor", - "dialogue": "So, was that similar or different to what you were thinking about that we could measure when you were predicting?" - }, - { - "start": "03:18.40", - "stop": "03:20.00", - "speaker": "Student", - "dialogue": "Uhh, kind of similar." - }, - { - "start": "03:22.04", - "stop": "03:23.12", - "speaker": "Tutor", - "dialogue": "Similar in what ways?" - }, - { - "start": "03:24.40", - "stop": "03:26.76", - "speaker": "Student", - "dialogue": "Like how had to measure?" - }, - { - "start": "03:26.84", - "stop": "03:29.56", - "speaker": "Student", - "dialogue": "like the length of how, or the length of the distance?" - }, - { - "start": "03:30.64", - "stop": "03:33.60", - "speaker": "Tutor", - "dialogue": "So the distance that the car has traveled on the journey?" - }, - { - "start": "03:34.08", - "stop": "03:37.44", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, what's something that was different from what you were thinking about?" - }, - { - "start": "03:41.76", - "stop": "03:44.32", - "speaker": "Student", - "dialogue": "Well, I just wasn't thinking about time at all." - }, - { - "start": "03:44.64", - "stop": "03:46.72", - "speaker": "Tutor", - "dialogue": "Yeah, time is something else we could measure." - }, - { - "start": "03:46.76", - "stop": "03:48.88", - "speaker": "Tutor", - "dialogue": "There's lots of actually, other things we can measure too." - }, - { - "start": "03:49.16", - "stop": "03:53.28", - "speaker": "Tutor", - "dialogue": "That might come up as we're working somewhere and feel free to just interject those, too." - }, - { - "start": "03:56.12", - "stop": "03:56.16", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "03:56.44", - "stop": "04:07.28", - "speaker": "Tutor", - "dialogue": "Right, so now you have a map and you have a graph, and as you look at, both of them, explain what is happening in each stage of the journey." - }, - { - "start": "04:10.12", - "stop": "04:23.44", - "speaker": "Student", - "dialogue": "Well, starton Providence, and then it goes down through this thing through New York City to get to Newark." - }, - { - "start": "04:25.52", - "stop": "04:27.28", - "speaker": "Tutor", - "dialogue": "This thing right here Im ninety five." - }, - { - "start": "04:27.76", - "stop": "04:28.40", - "speaker": "Student", - "dialogue": "Yeah, does." - }, - { - "start": "04:28.52", - "stop": "04:34.08", - "speaker": "Tutor", - "dialogue": "That that is the name of this path, the name of the interstate or the highway or the road." - }, - { - "start": "04:34.16", - "stop": "04:35.28", - "speaker": "Tutor", - "dialogue": "However, you want to think about it." - }, - { - "start": "04:36.12", - "stop": "04:36.40", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "04:36.80", - "stop": "04:37.72", - "speaker": "Tutor", - "dialogue": "Huh, so?" - }, - { - "start": "04:39.44", - "stop": "04:42.00", - "speaker": "Student", - "dialogue": "So it starts up, Providence goes down the road." - }, - { - "start": "04:42.12", - "stop": "04:47.84", - "speaker": "Student", - "dialogue": "I ninety five doing New York to get to Newark, New Jersey and." - }, - { - "start": "04:48.04", - "stop": "04:50.52", - "speaker": "Tutor", - "dialogue": "How do you see the map and the graph being related?" - }, - { - "start": "04:52.76", - "stop": "05:11.60", - "speaker": "Student", - "dialogue": "It, it relates, because as the distance goes on, it would the graph would go up, and it also show how long it takes at the bottom, but time, and as it goes up, the more time increases as well as the distance." - }, - { - "start": "05:13.12", - "stop": "05:20.48", - "speaker": "Tutor", - "dialogue": "So are time and distance increasing during the entire journey in the same way or in different ways?" - }, - { - "start": "05:22.16", - "stop": "05:25.24", - "speaker": "Student", - "dialogue": "Ah, I' say the same way." - }, - { - "start": "05:27.52", - "stop": "05:31.40", - "speaker": "Student", - "dialogue": "Well, are these two the same or is this just an example?" - }, - { - "start": "05:31.68", - "stop": "05:32.72", - "speaker": "Tutor", - "dialogue": "Ah, good question." - }, - { - "start": "05:33.12", - "stop": "05:35.52", - "speaker": "Tutor", - "dialogue": "Yes, they are both about the same situation." - }, - { - "start": "05:36.28", - "stop": "05:43.92", - "speaker": "Student", - "dialogue": "Okay, well, I see that here in between B and C, it stops or doesn't stop." - }, - { - "start": "05:44.76", - "stop": "05:47.84", - "speaker": "Student", - "dialogue": "It just goes down like a straight path, I guess." - }, - { - "start": "05:49.08", - "stop": "05:52.60", - "speaker": "Tutor", - "dialogue": "W, and this, whenever you say it, I'm goning to ask you." - }, - { - "start": "05:52.96", - "stop": "05:53.44", - "speaker": "Tutor", - "dialogue": "what is it?" - }, - { - "start": "05:53.64", - "stop": "05:53.68", - "speaker": "Tutor", - "dialogue": "It?" - }, - { - "start": "05:54.40", - "stop": "05:57.40", - "speaker": "Tutor", - "dialogue": "is it the car, Is it a town?" - }, - { - "start": "05:57.88", - "stop": "05:59.08", - "speaker": "Tutor", - "dialogue": "is it the distance?" - }, - { - "start": "05:59.28", - "stop": "06:00.28", - "speaker": "Tutor", - "dialogue": "is it hours?" - }, - { - "start": "06:00.80", - "stop": "06:02.20", - "speaker": "Student", - "dialogue": "Car, I'm going say." - }, - { - "start": "06:02.24", - "stop": "06:05.36", - "speaker": "Tutor", - "dialogue": "The car okay, So from B to C, what happens with the car?" - }, - { - "start": "06:06.12", - "stop": "06:18.04", - "speaker": "Student", - "dialogue": "The car maybe stops for a bit, The, and it takes thirty minutes or so, and then continues okay." - }, - { - "start": "06:18.56", - "stop": "06:25.24", - "speaker": "Tutor", - "dialogue": "The tone of your voice was a little like, Are you convinced it stops during that time, or are you still trying to?" - }, - { - "start": "06:30.52", - "stop": "06:31.40", - "speaker": "Student", - "dialogue": "I have my doubts." - }, - { - "start": "06:32.00", - "stop": "06:33.28", - "speaker": "Tutor", - "dialogue": "Okay, that's fair." - }, - { - "start": "06:34.04", - "stop": "06:39.88", - "speaker": "Tutor", - "dialogue": "What would convince you that if the car has stopped during that time or that the car is still travelling?" - }, - { - "start": "06:40.60", - "stop": "06:44.72", - "speaker": "Student", - "dialogue": "Well, actually, I actually think it's stopped because if it's still travelling, it would con." - }, - { - "start": "06:45.00", - "stop": "06:50.40", - "speaker": "Student", - "dialogue": "the graph would continue to go up in distance to show that it's like actually still moving." - }, - { - "start": "06:50.48", - "stop": "06:55.52", - "speaker": "Student", - "dialogue": "But since it's stopped and it's just a line, I think it just like completely stopped Col." - }, - { - "start": "06:55.76", - "stop": "07:04.68", - "speaker": "Tutor", - "dialogue": "Somotype, some power, thinking words up here that I challenge you to use as you justify and convince yourself." - }, - { - "start": "07:04.80", - "stop": "07:06.32", - "speaker": "Tutor", - "dialogue": "Are you readyhm?" - }, - { - "start": "07:06.96", - "stop": "07:07.52", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "07:09.08", - "stop": "07:12.00", - "speaker": "Tutor", - "dialogue": "Decreasing staying the same." - }, - { - "start": "07:14.24", - "stop": "07:14.28", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "07:15.40", - "stop": "07:18.40", - "speaker": "Tutor", - "dialogue": "As you are convincing yourself." - }, - { - "start": "07:21.04", - "stop": "07:21.08", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "07:21.24", - "stop": "07:22.32", - "speaker": "Tutor", - "dialogue": "Justifying something." - }, - { - "start": "07:23.56", - "stop": "07:23.76", - "speaker": "Student", - "dialogue": "We're" - }, - { - "start": "07:23.80", - "stop": "07:25.92", - "speaker": "Tutor", - "dialogue": "Going to call these like the purple power words?" - }, - { - "start": "07:28.20", - "stop": "07:28.24", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "07:28.48", - "stop": "07:35.40", - "speaker": "Tutor", - "dialogue": "From B to C, can you use any of these words to justify why you think the car is stopped?" - }, - { - "start": "07:37.00", - "stop": "07:54.20", - "speaker": "Student", - "dialogue": "Ok, the the distance between B and C is staying the same because the line isn't increasing upward, I guess." - }, - { - "start": "07:56.96", - "stop": "07:57.00", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "07:57.28", - "stop": "07:57.44", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "07:57.52", - "stop": "08:02.32", - "speaker": "Tutor", - "dialogue": "B to C is distance increasing, decreasing, or staying the same." - }, - { - "start": "08:02.80", - "stop": "08:03.72", - "speaker": "Student", - "dialogue": "Staying the same." - }, - { - "start": "08:04.40", - "stop": "08:09.60", - "speaker": "Tutor", - "dialogue": "And from B to C is time, increasing, decreasing, or staying the same." - }, - { - "start": "08:10.96", - "stop": "08:11.48", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "08:12.76", - "stop": "08:21.64", - "speaker": "Tutor", - "dialogue": "So if distance is staying the same as time is increasing, what does that say about the car and the?" - }, - { - "start": "08:22.08", - "stop": "08:26.16", - "speaker": "Student", - "dialogue": "Means the car is not moving." - }, - { - "start": "08:26.44", - "stop": "08:27.24", - "speaker": "Tutor", - "dialogue": "Not moving at all." - }, - { - "start": "08:27.40", - "stop": "08:28.40", - "speaker": "Tutor", - "dialogue": "Are you convinced now?" - }, - { - "start": "08:28.92", - "stop": "08:29.08", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "08:31.36", - "stop": "08:31.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "08:32.12", - "stop": "08:36.00", - "speaker": "Tutor", - "dialogue": "Now I want you to label some more of these relationships that you see." - }, - { - "start": "08:36.36", - "stop": "08:39.52", - "speaker": "Tutor", - "dialogue": "So on the map, Where would be?" - }, - { - "start": "08:40.40", - "stop": "08:42.40", - "speaker": "Tutor", - "dialogue": "Where would these letters be located?" - }, - { - "start": "08:43.12", - "stop": "08:48.12", - "speaker": "Tutor", - "dialogue": "And as you start labeling them, No, I'm going to ask you to justify it." - }, - { - "start": "08:48.36", - "stop": "08:54.04", - "speaker": "Tutor", - "dialogue": "Why did you put that letter there and then use some of these purple power words in your convincing me?" - }, - { - "start": "08:56.00", - "stop": "08:59.64", - "speaker": "Student", - "dialogue": "A, what do you mean by putting the letter somewhere?" - }, - { - "start": "09:00.20", - "stop": "09:03.60", - "speaker": "Tutor", - "dialogue": "So where would a be located on the?" - }, - { - "start": "09:03.68", - "stop": "09:07.84", - "speaker": "Student", - "dialogue": "Map, oh, A would be located here at the starting point, okay?" - }, - { - "start": "09:09.12", - "stop": "09:11.48", - "speaker": "Tutor", - "dialogue": "And why do you know that that is the starting point?" - }, - { - "start": "09:12.24", - "stop": "09:14.08", - "speaker": "Student", - "dialogue": "Because it starts at zero." - }, - { - "start": "09:15.68", - "stop": "09:18.44", - "speaker": "Tutor", - "dialogue": "So on the graph, it starts at the origin." - }, - { - "start": "09:19.24", - "stop": "09:19.40", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "09:19.64", - "stop": "09:23.16", - "speaker": "Tutor", - "dialogue": "And how did you know that it was Providence and not Newark for the start?" - }, - { - "start": "09:23.72", - "stop": "09:29.48", - "speaker": "Student", - "dialogue": "Because it shows a car journey from Providence, R, I, meaning it started at Providence Cool." - }, - { - "start": "09:30.04", - "stop": "09:31.00", - "speaker": "Tutor", - "dialogue": "So you just did that?" - }, - { - "start": "09:31.08", - "stop": "09:33.68", - "speaker": "Tutor", - "dialogue": "You labeleed one of the points and you justified it." - }, - { - "start": "09:34.84", - "stop": "09:35.40", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "09:36.08", - "stop": "10:10.72", - "speaker": "Student", - "dialogue": "All right, so F would go here because that's the finishing point and it St. and it stops at Newyark New Jer, I'm gonna think that maybe Hmm, I'm going to skip a letter here" - }, - { - "start": "10:11.80", - "stop": "10:16.88", - "speaker": "Student", - "dialogue": "a few letters and I'm going to say D is here and E is here." - }, - { - "start": "10:17.68", - "stop": "10:28.24", - "speaker": "Tutor", - "dialogue": "You are doing a beautiful job of talking out loud as you are thinking that's really helpful and me, help me know what you know and helping you learn next stuff that's really cool." - }, - { - "start": "10:29.68", - "stop": "10:29.96", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "10:33.20", - "stop": "10:33.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "10:33.96", - "stop": "10:51.72", - "speaker": "Student", - "dialogue": "Yeah, this would be D, and I say that is D, and this is E. Because between D and E, the road is a bit like rocky, and I'd assume that they're going through New York, because in New York, there's a lot of speed bumps and such." - }, - { - "start": "10:52.52", - "stop": "10:52.88", - "speaker": "Tutor", - "dialogue": "Okay, So?" - }, - { - "start": "10:54.84", - "stop": "10:55.04", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "10:55.72", - "stop": "10:57.72", - "speaker": "Tutor", - "dialogue": "Let me, I just like the color tools." - }, - { - "start": "10:59.68", - "stop": "10:59.88", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "11:00.24", - "stop": "11:00.92", - "speaker": "Tutor", - "dialogue": "Here to here." - }, - { - "start": "11:01.88", - "stop": "11:02.08", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "11:02.32", - "stop": "11:07.88", - "speaker": "Tutor", - "dialogue": "This segment from D to E. you're saying it, The road is rocky." - }, - { - "start": "11:08.44", - "stop": "11:10.20", - "speaker": "Tutor", - "dialogue": "That's why that line is wiggly." - }, - { - "start": "11:10.96", - "stop": "11:11.80", - "speaker": "Student", - "dialogue": "Yeah, so?" - }, - { - "start": "11:12.36", - "stop": "11:14.88", - "speaker": "Tutor", - "dialogue": "In New York City, they're going over potholes and things." - }, - { - "start": "11:17.92", - "stop": "11:18.36", - "speaker": "Student", - "dialogue": "Convince." - }, - { - "start": "11:18.56", - "stop": "11:27.96", - "speaker": "Tutor", - "dialogue": "Me using those purple power words for what's going on between D and E. How is the distance changing?" - }, - { - "start": "11:28.24", - "stop": "11:29.52", - "speaker": "Tutor", - "dialogue": "How is the time changing?" - }, - { - "start": "11:29.80", - "stop": "11:31.16", - "speaker": "Tutor", - "dialogue": "And how does that help you know?" - }, - { - "start": "11:31.52", - "stop": "11:32.24", - "speaker": "Tutor", - "dialogue": "That's where that." - }, - { - "start": "11:32.36", - "stop": "11:33.28", - "speaker": "Tutor", - "dialogue": "they're in New York City." - }, - { - "start": "11:34.24", - "stop": "12:07.28", - "speaker": "Student", - "dialogue": "Ok, the distance is increasing, but time is increasing more because, Um, because in between D and E, it would bed be thirty one hour and thirty minutes to get through New York." - }, - { - "start": "12:08.56", - "stop": "12:11.40", - "speaker": "Tutor", - "dialogue": "You can write her if you want label anyth like that, Okom." - }, - { - "start": "12:35.16", - "stop": "12:54.80", - "speaker": "Student", - "dialogue": "So, Mm, actually, now I'm not sure why I said that." - }, - { - "start": "12:56.16", - "stop": "12:57.28", - "speaker": "Tutor", - "dialogue": "Are you changing your mind?" - }, - { - "start": "12:58.88", - "stop": "13:08.40", - "speaker": "Student", - "dialogue": "Yes, well, I'm not changing my mind about how D and E are going through New York, but I don't know how to justify my point." - }, - { - "start": "13:08.72", - "stop": "13:10.12", - "speaker": "Tutor", - "dialogue": "Uh, beautiful explanation." - }, - { - "start": "13:10.32", - "stop": "13:13.76", - "speaker": "Tutor", - "dialogue": "Okay, we'll come back to it as we work on some more sections." - }, - { - "start": "13:15.28", - "stop": "13:15.52", - "speaker": "Student", - "dialogue": "Maybe." - }, - { - "start": "13:15.56", - "stop": "13:18.76", - "speaker": "Tutor", - "dialogue": "We'll come back to D n E and see if you feel like you're ready to justify that section." - }, - { - "start": "13:19.52", - "stop": "13:27.64", - "speaker": "Student", - "dialogue": "Okay, okay, Um, so now for B and c?" - }, - { - "start": "13:28.12", - "stop": "13:34.44", - "speaker": "Student", - "dialogue": "Okay, actually, I think C and B are between here, because from here to here" - }, - { - "start": "13:34.60", - "stop": "13:39.12", - "speaker": "Student", - "dialogue": "it's just a pretty straight path and it's ju." - }, - { - "start": "13:39.28", - "stop": "13:48.56", - "speaker": "Student", - "dialogue": "and the distance is just increasing and it's not having any problems going through here, so I just think C's here and D is here." - }, - { - "start": "13:49.40", - "stop": "13:50.36", - "speaker": "Tutor", - "dialogue": "So from C to D?" - }, - { - "start": "13:52.04", - "stop": "13:52.32", - "speaker": "Student", - "dialogue": "Using." - }, - { - "start": "13:53.04", - "stop": "13:56.52", - "speaker": "Tutor", - "dialogue": "These purple words, what's happening from C to D?" - }, - { - "start": "13:57.88", - "stop": "14:02.56", - "speaker": "Student", - "dialogue": "The distance is increasing and the time is increasing." - }, - { - "start": "14:03.96", - "stop": "14:08.72", - "speaker": "Tutor", - "dialogue": "Are they both increasing at the same rate?" - }, - { - "start": "14:10.40", - "stop": "14:10.44", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "14:11.00", - "stop": "14:15.24", - "speaker": "Tutor", - "dialogue": "Is it is one increasing at a different rate?" - }, - { - "start": "14:15.80", - "stop": "14:18.52", - "speaker": "Student", - "dialogue": "I'd say they, they're both increasing at the same rate." - }, - { - "start": "14:18.92", - "stop": "14:19.60", - "speaker": "Student", - "dialogue": "ish, yeah." - }, - { - "start": "14:21.32", - "stop": "14:26.84", - "speaker": "Tutor", - "dialogue": "Okay, so from C to D, distance is increasing as time is increasing." - }, - { - "start": "14:28.76", - "stop": "14:28.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "14:29.44", - "stop": "14:30.76", - "speaker": "Tutor", - "dialogue": "Okay, okay?" - }, - { - "start": "14:33.20", - "stop": "14:40.16", - "speaker": "Student", - "dialogue": "And now for B and C, which is probably going to be the hardest." - }, - { - "start": "14:44.60", - "stop": "14:49.44", - "speaker": "Student", - "dialogue": "Maybe I'll put, maybe B. might." - }, - { - "start": "14:50.32", - "stop": "14:53.36", - "speaker": "Student", - "dialogue": "I'm not sure how to back this up, but I think B would go here." - }, - { - "start": "14:54.28", - "stop": "14:56.00", - "speaker": "Tutor", - "dialogue": "Woh, whey to take a risk, okay?" - }, - { - "start": "14:57.72", - "stop": "15:08.00", - "speaker": "Student", - "dialogue": "Uhhuh, well, maybe it can go there, but I don't think it'd be that." - }, - { - "start": "15:08.40", - "stop": "15:14.44", - "speaker": "Student", - "dialogue": "Actually, maybe B would be closer to C. We." - }, - { - "start": "15:14.64", - "stop": "15:19.24", - "speaker": "Student", - "dialogue": "actually, Yeah, I think B's going to stay there, right?" - }, - { - "start": "15:20.36", - "stop": "15:23.12", - "speaker": "Tutor", - "dialogue": "Do you want some more time to think about it, or is this your prediction right now?" - }, - { - "start": "15:24.00", - "stop": "15:26.72", - "speaker": "Student", - "dialogue": "Uh, I'll stick with this prediction, okay?" - }, - { - "start": "15:27.44", - "stop": "15:29.32", - "speaker": "Tutor", - "dialogue": "So from A to B?" - }, - { - "start": "15:32.28", - "stop": "15:32.32", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "15:32.56", - "stop": "15:36.28", - "speaker": "Tutor", - "dialogue": "The distance increasing, decreasing, or staying the same." - }, - { - "start": "15:37.40", - "stop": "15:37.96", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "15:40.08", - "stop": "15:44.56", - "speaker": "Tutor", - "dialogue": "From A to B is the time increasing, decreasing or staying the same." - }, - { - "start": "15:45.08", - "stop": "15:46.64", - "speaker": "Student", - "dialogue": "It is increasing." - }, - { - "start": "15:48.24", - "stop": "15:52.20", - "speaker": "Tutor", - "dialogue": "From B to C, what is happening with distance and time?" - }, - { - "start": "15:55.20", - "stop": "15:58.56", - "speaker": "Student", - "dialogue": "If it's going from here to here, then the time would be increasing." - }, - { - "start": "16:00.80", - "stop": "16:09.36", - "speaker": "Student", - "dialogue": "Wait, so maybe I should wait here." - }, - { - "start": "16:13.48", - "stop": "16:15.20", - "speaker": "Student", - "dialogue": "Maybe C would go closer to me." - }, - { - "start": "16:16.52", - "stop": "16:16.72", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "16:18.32", - "stop": "16:22.60", - "speaker": "Student", - "dialogue": "To show how the distance isn't increasing, I mean or staying the same." - }, - { - "start": "16:23.92", - "stop": "16:26.96", - "speaker": "Tutor", - "dialogue": "From B to C, you're trying to show the distance staying." - }, - { - "start": "16:27.04", - "stop": "16:27.36", - "speaker": "Student", - "dialogue": "The same." - }, - { - "start": "16:27.96", - "stop": "16:28.92", - "speaker": "Tutor", - "dialogue": "Yes, on the map." - }, - { - "start": "16:29.84", - "stop": "16:30.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:30.32", - "stop": "16:32.32", - "speaker": "Tutor", - "dialogue": "Okay, so let's pretend like we're in a car." - }, - { - "start": "16:33.84", - "stop": "16:36.68", - "speaker": "Tutor", - "dialogue": "We have traveled from A to B." - }, - { - "start": "16:40.52", - "stop": "16:40.56", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "16:42.60", - "stop": "16:47.24", - "speaker": "Tutor", - "dialogue": "We get to B and then from B to C, distance stays the same." - }, - { - "start": "16:51.12", - "stop": "16:51.32", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "16:51.36", - "stop": "16:51.88", - "speaker": "Tutor", - "dialogue": "Would I put" - }, - { - "start": "16:52.00", - "stop": "16:52.40", - "speaker": "Tutor", - "dialogue": "point C?" - }, - { - "start": "16:52.64", - "stop": "16:52.80", - "speaker": "Tutor", - "dialogue": "then?" - }, - { - "start": "16:54.32", - "stop": "16:56.08", - "speaker": "Student", - "dialogue": "At the same spot as point B." - }, - { - "start": "16:56.68", - "stop": "16:56.88", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "16:58.44", - "stop": "17:05.68", - "speaker": "Student", - "dialogue": "Because if they were at well, if they were at the same point, then wouldn't that show like it's not really moving?" - }, - { - "start": "17:06.64", - "stop": "17:08.04", - "speaker": "Tutor", - "dialogue": "Oh, there's that voice again." - }, - { - "start": "17:08.72", - "stop": "17:11.16", - "speaker": "Tutor", - "dialogue": "Are you convinced or do youant some more time to think about it?" - }, - { - "start": "17:12.88", - "stop": "17:15.72", - "speaker": "Student", - "dialogue": "Um, I probably need more time." - }, - { - "start": "17:25.52", - "stop": "17:25.88", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "17:26.40", - "stop": "17:36.76", - "speaker": "Student", - "dialogue": "If B is here and C would be here, then as it goes down this road, time would also be increasing because the distance is increasing." - }, - { - "start": "17:46.08", - "stop": "17:47.04", - "speaker": "Student", - "dialogue": "I'm really not sure." - }, - { - "start": "17:48.72", - "stop": "17:50.28", - "speaker": "Tutor", - "dialogue": "But on the graph." - }, - { - "start": "17:52.28", - "stop": "17:52.44", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "17:52.56", - "stop": "17:56.20", - "speaker": "Tutor", - "dialogue": "The graph show distance increasing, decreasing, or staying the same." - }, - { - "start": "17:56.68", - "stop": "17:57.48", - "speaker": "Student", - "dialogue": "Staying the shame." - }, - { - "start": "17:58.08", - "stop": "18:02.64", - "speaker": "Tutor", - "dialogue": "On the map, did you show distance increasing, decreasing, or staying the same?" - }, - { - "start": "18:03.84", - "stop": "18:05.20", - "speaker": "Student", - "dialogue": "I showed it increased it." - }, - { - "start": "18:06.72", - "stop": "18:08.56", - "speaker": "Tutor", - "dialogue": "So how could you show it staying the same?" - }, - { - "start": "18:10.44", - "stop": "18:15.20", - "speaker": "Student", - "dialogue": "I put point c, letra point B." - }, - { - "start": "18:17.48", - "stop": "18:24.92", - "speaker": "Tutor", - "dialogue": "Is that a question or a statementd?" - }, - { - "start": "18:24.96", - "stop": "18:25.00", - "speaker": "Student", - "dialogue": "Of." - }, - { - "start": "18:26.48", - "stop": "18:26.52", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "18:26.64", - "stop": "18:26.84", - "speaker": "Student", - "dialogue": "Would?" - }, - { - "start": "18:26.88", - "stop": "18:28.00", - "speaker": "Tutor", - "dialogue": "It take for you to be convinced." - }, - { - "start": "18:28.92", - "stop": "18:29.56", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "18:31.72", - "stop": "18:34.40", - "speaker": "Tutor", - "dialogue": "If you're waiting for me to say yeah, that's right or no." - }, - { - "start": "18:34.52", - "stop": "18:34.84", - "speaker": "Tutor", - "dialogue": "that's not." - }, - { - "start": "18:35.08", - "stop": "18:35.80", - "speaker": "Tutor", - "dialogue": "I'm not going to." - }, - { - "start": "18:36.20", - "stop": "18:38.92", - "speaker": "Tutor", - "dialogue": "I'll continue asking until you feel" - }, - { - "start": "18:39.00", - "stop": "18:40.96", - "speaker": "Tutor", - "dialogue": "like yes, I'm convinced or I don't know." - }, - { - "start": "18:41.16", - "stop": "18:42.64", - "speaker": "Tutor", - "dialogue": "I want to muck around with it a little." - }, - { - "start": "18:42.68", - "stop": "18:44.32", - "speaker": "Student", - "dialogue": "Bit, yeah, I think yeah." - }, - { - "start": "18:44.52", - "stop": "18:46.36", - "speaker": "Student", - "dialogue": "I think S's better be right next to B." - }, - { - "start": "18:47.04", - "stop": "18:52.52", - "speaker": "Tutor", - "dialogue": "Then own it like Yes, this is it, because I have known distance is not increasing." - }, - { - "start": "18:53.80", - "stop": "18:54.12", - "speaker": "Student", - "dialogue": "Boom." - }, - { - "start": "18:54.32", - "stop": "18:56.48", - "speaker": "Tutor", - "dialogue": "Ca put a point in between both of them." - }, - { - "start": "18:58.16", - "stop": "18:58.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "18:58.52", - "stop": "19:00.64", - "speaker": "Tutor", - "dialogue": "Both of your labels, so we know that that's the same point." - }, - { - "start": "19:01.04", - "stop": "19:01.72", - "speaker": "Tutor", - "dialogue": "You know what I mean." - }, - { - "start": "19:02.64", - "stop": "19:04.56", - "speaker": "Student", - "dialogue": "Yes, we're trying." - }, - { - "start": "19:05.44", - "stop": "19:07.64", - "speaker": "Tutor", - "dialogue": "Yeah, are you using a a mouse?" - }, - { - "start": "19:08.84", - "stop": "19:09.80", - "speaker": "Student", - "dialogue": "I don't have a mouse." - }, - { - "start": "19:10.68", - "stop": "19:11.44", - "speaker": "Tutor", - "dialogue": "How are you drawing?" - }, - { - "start": "19:12.36", - "stop": "19:13.36", - "speaker": "Student", - "dialogue": "With the mouse." - }, - { - "start": "19:13.48", - "stop": "19:16.48", - "speaker": "Tutor", - "dialogue": "Pad, Oh, okay, Yeah, with like the trackor Pad." - }, - { - "start": "19:17.16", - "stop": "19:19.52", - "speaker": "Tutor", - "dialogue": "Yes, Oh, you're good, okay?" - }, - { - "start": "19:21.20", - "stop": "19:21.24", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "19:21.40", - "stop": "19:22.08", - "speaker": "Tutor", - "dialogue": "Convinced now." - }, - { - "start": "19:22.84", - "stop": "19:23.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "19:23.92", - "stop": "19:24.32", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "19:25.92", - "stop": "19:26.12", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "19:26.44", - "stop": "19:27.16", - "speaker": "Tutor", - "dialogue": "C to D." - }, - { - "start": "19:29.92", - "stop": "19:29.96", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "19:30.16", - "stop": "19:32.64", - "speaker": "Tutor", - "dialogue": "Have shown distance increasing." - }, - { - "start": "19:33.84", - "stop": "19:34.04", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "19:34.92", - "stop": "19:36.40", - "speaker": "Tutor", - "dialogue": "Is that what is shown on your graph?" - }, - { - "start": "19:37.08", - "stop": "19:37.24", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "19:38.48", - "stop": "19:40.24", - "speaker": "Tutor", - "dialogue": "So take a look at all of your labels now." - }, - { - "start": "19:41.56", - "stop": "19:41.60", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "19:41.84", - "stop": "19:43.60", - "speaker": "Tutor", - "dialogue": "Thinking about those purple power words." - }, - { - "start": "19:47.16", - "stop": "19:47.20", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "19:47.32", - "stop": "19:48.68", - "speaker": "Tutor", - "dialogue": "There anything you want to change?" - }, - { - "start": "19:51.04", - "stop": "19:51.08", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "19:51.12", - "stop": "19:53.48", - "speaker": "Tutor", - "dialogue": "Are you convinced that your labels are good estimates?" - }, - { - "start": "19:54.84", - "stop": "19:58.44", - "speaker": "Student", - "dialogue": "I am convinced that my labels are good estimates." - }, - { - "start": "19:58.92", - "stop": "20:02.00", - "speaker": "Tutor", - "dialogue": "Okay, we're going to label a few more things on here." - }, - { - "start": "20:02.80", - "stop": "20:02.84", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "20:03.60", - "stop": "20:12.20", - "speaker": "Tutor", - "dialogue": "From A to B, how much is the distance increasing, and how much is the time increasing?" - }, - { - "start": "20:13.64", - "stop": "20:25.36", - "speaker": "Student", - "dialogue": "O, from Aighta B, it, it travels fifty miles and they travel for an hour." - }, - { - "start": "20:25.84", - "stop": "20:27.76", - "speaker": "Tutor", - "dialogue": "Or label that somehow that makes sense to you." - }, - { - "start": "20:55.32", - "stop": "20:55.56", - "speaker": "Student", - "dialogue": "Keep." - }, - { - "start": "20:55.68", - "stop": "20:57.80", - "speaker": "Tutor", - "dialogue": "Going label the rest of the journey." - }, - { - "start": "21:31.40", - "stop": "24:01.24", - "speaker": "Student", - "dialogue": "Yes, Oky, So at a gway in Tw hour, Hey n ita Yes, here you go." - }, - { - "start": "24:01.60", - "stop": "24:03.64", - "speaker": "Tutor", - "dialogue": "All right, you know what's coming now." - }, - { - "start": "24:05.60", - "stop": "24:06.04", - "speaker": "Student", - "dialogue": "Justify." - }, - { - "start": "24:06.24", - "stop": "24:10.28", - "speaker": "Tutor", - "dialogue": "Or explain to me how you've thought about." - }, - { - "start": "24:11.84", - "stop": "24:12.04", - "speaker": "Student", - "dialogue": "Each." - }, - { - "start": "24:12.16", - "stop": "24:20.80", - "speaker": "Tutor", - "dialogue": "Section, and how you figured out howy how much distance had increased or how much a time had increased or changed?" - }, - { - "start": "24:21.08", - "stop": "24:28.68", - "speaker": "Student", - "dialogue": "All right, so from A to B, it's fifty miles, so I said fifty miles in one hour, because." - }, - { - "start": "24:30.32", - "stop": "24:32.04", - "speaker": "Tutor", - "dialogue": "Show me where you see the fifty miles." - }, - { - "start": "24:36.20", - "stop": "24:40.40", - "speaker": "Student", - "dialogue": "This is the fifty miles, Then this is that hour." - }, - { - "start": "24:44.08", - "stop": "24:44.36", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "24:44.72", - "stop": "24:45.64", - "speaker": "Tutor", - "dialogue": "So your little?" - }, - { - "start": "24:46.56", - "stop": "24:46.60", - "speaker": "Student", - "dialogue": "Uh?" - }, - { - "start": "24:48.32", - "stop": "24:52.40", - "speaker": "Tutor", - "dialogue": "Wings that you drew here like this is keeping track of." - }, - { - "start": "24:53.76", - "stop": "24:54.00", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "24:55.56", - "stop": "24:57.60", - "speaker": "Tutor", - "dialogue": "Sorry, my mouth went crazy forself." - }, - { - "start": "24:59.96", - "stop": "25:00.00", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "25:00.16", - "stop": "25:02.44", - "speaker": "Tutor", - "dialogue": "Keeping track of the distance from A to B." - }, - { - "start": "25:04.64", - "stop": "25:04.68", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "25:04.96", - "stop": "25:07.04", - "speaker": "Tutor", - "dialogue": "The amount of time that has passed from A to B." - }, - { - "start": "25:09.28", - "stop": "25:09.32", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "25:09.60", - "stop": "25:11.56", - "speaker": "Tutor", - "dialogue": "Everything that's kind of circled and green." - }, - { - "start": "25:14.60", - "stop": "25:14.64", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "25:14.76", - "stop": "25:17.60", - "speaker": "Tutor", - "dialogue": "Where you got traveled for fifty miles in one hour." - }, - { - "start": "25:20.68", - "stop": "25:20.80", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "25:21.48", - "stop": "25:23.60", - "speaker": "Tutor", - "dialogue": "Yes or no, I'm just trying to understand if that's what you're thinking." - }, - { - "start": "25:25.12", - "stop": "25:25.28", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "25:25.40", - "stop": "25:37.84", - "speaker": "Tutor", - "dialogue": "Come, the road is curvey here on the map, but the line is straight on the graph if it's talking about that same section of the journey." - }, - { - "start": "25:41.12", - "stop": "25:42.24", - "speaker": "Student", - "dialogue": "That is a good question." - }, - { - "start": "25:44.44", - "stop": "25:50.72", - "speaker": "Student", - "dialogue": "Oh, I'm not sure, actually you." - }, - { - "start": "25:50.96", - "stop": "25:58.00", - "speaker": "Tutor", - "dialogue": "That means we're in the sweet spot of growing your brain right now, so I'm not going to rush it." - }, - { - "start": "25:58.08", - "stop": "26:00.36", - "speaker": "Tutor", - "dialogue": "I'm going to give you some time to think about that." - }, - { - "start": "26:01.56", - "stop": "26:05.00", - "speaker": "Tutor", - "dialogue": "Why would it be curved on the map?" - }, - { - "start": "26:07.20", - "stop": "26:07.24", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "26:07.40", - "stop": "26:09.48", - "speaker": "Tutor", - "dialogue": "It's a straight line on the graph." - }, - { - "start": "26:10.52", - "stop": "26:18.44", - "speaker": "Tutor", - "dialogue": "Both I agree with you, both represent the journey from A to B. I agree." - }, - { - "start": "26:18.60", - "stop": "26:21.68", - "speaker": "Tutor", - "dialogue": "It's fifty miles in one hour." - }, - { - "start": "26:23.08", - "stop": "26:25.32", - "speaker": "Tutor", - "dialogue": "So how can it be that the map is curved?" - }, - { - "start": "26:26.64", - "stop": "26:26.68", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "26:26.88", - "stop": "26:28.52", - "speaker": "Tutor", - "dialogue": "The graph is a straight point." - }, - { - "start": "26:31.48", - "stop": "26:37.88", - "speaker": "Student", - "dialogue": "Oh, well, is it logic involved in this or?" - }, - { - "start": "26:39.40", - "stop": "26:40.96", - "speaker": "Tutor", - "dialogue": "Possibly, keep, go on." - }, - { - "start": "26:41.08", - "stop": "26:41.56", - "speaker": "Tutor", - "dialogue": "What do you think?" - }, - { - "start": "26:41.60", - "stop": "26:41.96", - "speaker": "Tutor", - "dialogue": "What does that?" - }, - { - "start": "26:42.04", - "stop": "27:03.80", - "speaker": "Student", - "dialogue": "Mean, well, I was thinking that maybe since they didn't really have trouble getting through that area, it was just like a swift drive by, even though it was curved, so maybe the had to take some turns and that's how like it's curved beyond the map, but like straight on the graph." - }, - { - "start": "27:04.12", - "stop": "27:06.44", - "speaker": "Tutor", - "dialogue": "Yeah, keep going with that swift drive." - }, - { - "start": "27:06.56", - "stop": "27:11.08", - "speaker": "Tutor", - "dialogue": "By what does that mean and remember what the graph is keeping track of?" - }, - { - "start": "27:17.32", - "stop": "27:31.12", - "speaker": "Student", - "dialogue": "Well, Sw, drive by like maybe on the highway." - }, - { - "start": "27:34.44", - "stop": "27:40.68", - "speaker": "Student", - "dialogue": "You know how some highways take some turns, uhhuh, and some curves sometimes to get to like." - }, - { - "start": "27:41.32", - "stop": "27:49.88", - "speaker": "Student", - "dialogue": "Or maybe they had to like they were on a different highway and then they had to turn a few times to get on to the I ninety five." - }, - { - "start": "27:51.08", - "stop": "27:51.24", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "27:52.24", - "stop": "27:55.64", - "speaker": "Student", - "dialogue": "Which is why there was like some turning in bulk." - }, - { - "start": "27:57.28", - "stop": "27:59.24", - "speaker": "Tutor", - "dialogue": "Right, so the path of that road?" - }, - { - "start": "28:00.44", - "stop": "28:03.72", - "speaker": "Tutor", - "dialogue": "If I'm in the car, my steering-weel's going to be working." - }, - { - "start": "28:03.92", - "stop": "28:05.96", - "speaker": "Tutor", - "dialogue": "I'm not just going to keep going straight on the road." - }, - { - "start": "28:06.64", - "stop": "28:07.56", - "speaker": "Tutor", - "dialogue": "I'm going to be turnin." - }, - { - "start": "28:08.52", - "stop": "28:08.72", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "28:09.92", - "stop": "28:23.60", - "speaker": "Tutor", - "dialogue": "But on the graph, and the graph is keeping track of distance, and how distance is changing, And the graph is keeping track of time and how time is changing." - }, - { - "start": "28:26.00", - "stop": "28:26.04", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "28:26.40", - "stop": "28:28.12", - "speaker": "Tutor", - "dialogue": "Why is it a straight line?" - }, - { - "start": "28:31.64", - "stop": "28:31.76", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "28:31.80", - "stop": "28:39.64", - "speaker": "Tutor", - "dialogue": "We're keeping track of the distance and time of that segment even though our steering- wheel is turning while we're driving." - }, - { - "start": "28:42.56", - "stop": "28:42.72", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "28:42.88", - "stop": "28:43.00", - "speaker": "Student", - "dialogue": "no." - }, - { - "start": "28:45.72", - "stop": "28:45.76", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "28:45.96", - "stop": "28:48.24", - "speaker": "Student", - "dialogue": "I think I've put the plot, is it?" - }, - { - "start": "28:51.40", - "stop": "28:52.64", - "speaker": "Tutor", - "dialogue": "Maybe what, what did you say?" - }, - { - "start": "28:53.76", - "stop": "28:56.40", - "speaker": "Student", - "dialogue": "O, I'm looking at it and I was thinking" - }, - { - "start": "28:56.56", - "stop": "29:02.80", - "speaker": "Student", - "dialogue": "maybe I put the b splot somewhere wrong." - }, - { - "start": "29:05.68", - "stop": "29:06.24", - "speaker": "Student", - "dialogue": "Why hell it?" - }, - { - "start": "29:06.72", - "stop": "29:08.44", - "speaker": "Tutor", - "dialogue": "No, I think your estimate of where B is" - }, - { - "start": "29:09.04", - "stop": "29:09.60", - "speaker": "Tutor", - "dialogue": "it's fine." - }, - { - "start": "29:11.28", - "stop": "29:13.00", - "speaker": "Student", - "dialogue": "Oh, hm." - }, - { - "start": "29:15.48", - "stop": "29:21.24", - "speaker": "Tutor", - "dialogue": "And where you plotted B and C, where you plotted your points, Your estimates for those, I think those make complete sense." - }, - { - "start": "29:23.00", - "stop": "29:23.04", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "29:23.16", - "stop": "29:24.92", - "speaker": "Tutor", - "dialogue": "We're trying to make sense of, though is how come" - }, - { - "start": "29:24.96", - "stop": "29:26.28", - "speaker": "Tutor", - "dialogue": "it's a curvey line on the map." - }, - { - "start": "29:28.64", - "stop": "29:28.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "29:28.84", - "stop": "29:33.24", - "speaker": "Tutor", - "dialogue": "We have to go to the graph and think deep about what graphs keep track of." - }, - { - "start": "29:36.44", - "stop": "29:36.48", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "29:36.80", - "stop": "29:37.40", - "speaker": "Tutor", - "dialogue": "Oky, go." - }, - { - "start": "29:37.44", - "stop": "29:40.92", - "speaker": "Student", - "dialogue": "Ahead, well, maybe sorry what you're saying." - }, - { - "start": "29:41.28", - "stop": "29:42.36", - "speaker": "Tutor", - "dialogue": "No, go ahead, you go." - }, - { - "start": "29:42.80", - "stop": "29:48.84", - "speaker": "Student", - "dialogue": "M. okay, I was thinking that maybe the graph is only like directly" - }, - { - "start": "29:49.20", - "stop": "30:00.32", - "speaker": "Student", - "dialogue": "showing the distance or like, it's only showing the distance not showing like which way the car moves." - }, - { - "start": "30:02.32", - "stop": "30:09.92", - "speaker": "Student", - "dialogue": "Maybe like Ok, as the graph is going straight up." - }, - { - "start": "30:10.92", - "stop": "30:14.40", - "speaker": "Student", - "dialogue": "That just means that the distance is increasing as well as the time." - }, - { - "start": "30:15.08", - "stop": "30:27.48", - "speaker": "Student", - "dialogue": "So for A to Bm, I don't know what I'm trying to get at." - }, - { - "start": "30:27.96", - "stop": "30:28.48", - "speaker": "Tutor", - "dialogue": "Y, you do?" - }, - { - "start": "30:28.72", - "stop": "30:30.52", - "speaker": "Tutor", - "dialogue": "You're doing great thining right now?" - }, - { - "start": "30:30.72", - "stop": "30:31.92", - "speaker": "Tutor", - "dialogue": "Be patient with yourself." - }, - { - "start": "30:32.32", - "stop": "30:33.28", - "speaker": "Tutor", - "dialogue": "That is beautiful." - }, - { - "start": "30:36.76", - "stop": "30:44.04", - "speaker": "Student", - "dialogue": "Maybe the map specifically is showing like the route or the path, and what it actually like looks like." - }, - { - "start": "30:44.76", - "stop": "30:50.12", - "speaker": "Student", - "dialogue": "Meanwhile, the graph is just showing like the distance specifically." - }, - { - "start": "30:52.24", - "stop": "30:54.52", - "speaker": "Tutor", - "dialogue": "Yes, and the distance and?" - }, - { - "start": "30:55.88", - "stop": "30:56.16", - "speaker": "Student", - "dialogue": "Time." - }, - { - "start": "30:56.48", - "stop": "31:02.92", - "speaker": "Tutor", - "dialogue": "Time, it's not showing us the how many curves or hills or anything" - }, - { - "start": "31:03.04", - "stop": "31:10.36", - "speaker": "Tutor", - "dialogue": "like that, it's showing us the relationship between how the distance is changing and how the time is changing." - }, - { - "start": "31:13.84", - "stop": "31:13.88", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "31:14.16", - "stop": "31:18.04", - "speaker": "Tutor", - "dialogue": "The map is showing the actual path the car traveled." - }, - { - "start": "31:20.28", - "stop": "31:21.28", - "speaker": "Student", - "dialogue": "I thought I was wrong." - }, - { - "start": "31:22.76", - "stop": "31:24.44", - "speaker": "Tutor", - "dialogue": "We're going to work on some confidence here." - }, - { - "start": "31:24.52", - "stop": "31:25.84", - "speaker": "Tutor", - "dialogue": "Do you do this a lot in class?" - }, - { - "start": "31:27.40", - "stop": "31:27.44", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "31:27.88", - "stop": "31:28.92", - "speaker": "Tutor", - "dialogue": "Second, call yourself." - }, - { - "start": "31:29.36", - "stop": "31:30.64", - "speaker": "Student", - "dialogue": "Well, like this type of question." - }, - { - "start": "31:30.96", - "stop": "31:31.00", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "31:32.08", - "stop": "31:32.20", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "31:32.96", - "stop": "31:34.28", - "speaker": "Tutor", - "dialogue": "So what's different right now?" - }, - { - "start": "31:38.84", - "stop": "31:39.88", - "speaker": "Student", - "dialogue": "Um, what?" - }, - { - "start": "31:40.08", - "stop": "31:41.60", - "speaker": "Student", - "dialogue": "It's different from what I do in class." - }, - { - "start": "31:42.08", - "stop": "31:42.12", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "31:43.72", - "stop": "31:51.20", - "speaker": "Student", - "dialogue": "In class, we usually just do like algebraic equations we don't really like." - }, - { - "start": "31:51.40", - "stop": "31:53.20", - "speaker": "Student", - "dialogue": "Do stuff like this specifically." - }, - { - "start": "31:54.08", - "stop": "31:56.24", - "speaker": "Tutor", - "dialogue": "Ah, where this is like making sense of something?" - }, - { - "start": "31:56.84", - "stop": "31:57.00", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "31:57.52", - "stop": "31:57.72", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "31:58.04", - "stop": "32:02.96", - "speaker": "Tutor", - "dialogue": "Okay, so you're not trusting yourself in the making sense of it?" - }, - { - "start": "32:03.60", - "stop": "32:07.68", - "speaker": "Tutor", - "dialogue": "Yeah, but if I asked you to do some calculations, you'd pump those out." - }, - { - "start": "32:08.92", - "stop": "32:08.96", - "speaker": "Student", - "dialogue": "Mo." - }, - { - "start": "32:09.76", - "stop": "32:10.84", - "speaker": "Tutor", - "dialogue": "Yeah, okay, cool." - }, - { - "start": "32:11.08", - "stop": "32:11.28", - "speaker": "Tutor", - "dialogue": "good." - }, - { - "start": "32:11.36", - "stop": "32:12.68", - "speaker": "Tutor", - "dialogue": "So I'm going to push you in that area" - }, - { - "start": "32:12.76", - "stop": "32:13.08", - "speaker": "Tutor", - "dialogue": "some more." - }, - { - "start": "32:13.32", - "stop": "32:19.64", - "speaker": "Tutor", - "dialogue": "Okay and you're justifying and owning your thinking and like, Oh, wait and going back and forth that's beautiful." - }, - { - "start": "32:19.80", - "stop": "32:20.40", - "speaker": "Tutor", - "dialogue": "Keep doing that." - }, - { - "start": "32:22.12", - "stop": "32:22.16", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "32:23.16", - "stop": "32:27.20", - "speaker": "Tutor", - "dialogue": "Be to C. where do the zero miles come from in thirty minutes?" - }, - { - "start": "32:28.12", - "stop": "32:45.28", - "speaker": "Student", - "dialogue": "Oky, since the distance from B to C did not increase on the map, I assumed that as zero, which is why B and C are together, and since it was at a halt, it took thirty minutes" - }, - { - "start": "32:46.72", - "stop": "32:56.24", - "speaker": "Student", - "dialogue": "Wit this thirty minutes, and it didn't really go up or down." - }, - { - "start": "32:56.44", - "stop": "32:58.96", - "speaker": "Student", - "dialogue": "It just stayed at the fifty mile work." - }, - { - "start": "32:59.28", - "stop": "33:03.08", - "speaker": "Tutor", - "dialogue": "So distance stayed the same as time increased." - }, - { - "start": "33:03.88", - "stop": "33:04.04", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "33:05.32", - "stop": "33:09.12", - "speaker": "Tutor", - "dialogue": "Cd. D. where did a hundred miles in fifty five minutes come?" - }, - { - "start": "33:10.08", - "stop": "33:13.36", - "speaker": "Student", - "dialogue": "Right I, I said a hundred." - }, - { - "start": "33:15.52", - "stop": "33:15.72", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "33:15.88", - "stop": "33:19.08", - "speaker": "Student", - "dialogue": "shoot, wait, wait, wait, wait, Wait." - }, - { - "start": "33:26.04", - "stop": "33:28.48", - "speaker": "Student", - "dialogue": "that was a errord." - }, - { - "start": "33:29.20", - "stop": "33:36.84", - "speaker": "Student", - "dialogue": "I, only I said a hundred because from here to here it's fifty, but from here to here it's also fifty." - }, - { - "start": "33:37.60", - "stop": "33:44.84", - "speaker": "Student", - "dialogue": "If it was a hundred, then she would be down here and then it would just go from here or no." - }, - { - "start": "33:45.60", - "stop": "33:49.80", - "speaker": "Student", - "dialogue": "If I said a hundred, C would be here and then D would be here." - }, - { - "start": "33:50.68", - "stop": "33:53.92", - "speaker": "Tutor", - "dialogue": "Or D is a hundred miles from something." - }, - { - "start": "33:55.28", - "stop": "33:56.44", - "speaker": "Student", - "dialogue": "Yes, it's D's." - }, - { - "start": "33:56.52", - "stop": "34:00.08", - "speaker": "Student", - "dialogue": "a hundred miles from A, not from C. correct?" - }, - { - "start": "34:00.60", - "stop": "34:01.44", - "speaker": "Tutor", - "dialogue": "Coal sok." - }, - { - "start": "34:02.44", - "stop": "34:28.48", - "speaker": "Student", - "dialogue": "Fifty miles, so the distance from C to D increases while the time also increases, and I also said fifty five minutes instead of an hour, because I saw that the line kind of stops here instead of exactly on the mark over here." - }, - { - "start": "34:32.12", - "stop": "34:32.24", - "speaker": "Tutor", - "dialogue": "Whi." - }, - { - "start": "34:32.32", - "stop": "34:33.36", - "speaker": "Student", - "dialogue": "Is why I assumed?" - }, - { - "start": "34:36.92", - "stop": "34:37.40", - "speaker": "Tutor", - "dialogue": "I'm with you." - }, - { - "start": "34:37.84", - "stop": "34:38.00", - "speaker": "Tutor", - "dialogue": "now." - }, - { - "start": "34:38.08", - "stop": "34:38.28", - "speaker": "Tutor", - "dialogue": "We're" - }, - { - "start": "34:40.28", - "stop": "35:23.44", - "speaker": "Student", - "dialogue": "Okay, D to e, I said they travel thirty five miles in one out thirty minutes, Becausereasing as much as time is increasing Aay, Now that I'm looking at it, it's kind of going past, is it?" - }, - { - "start": "35:23.80", - "stop": "35:24.88", - "speaker": "Student", - "dialogue": "Yeah, it's going past." - }, - { - "start": "35:25.40", - "stop": "35:29.92", - "speaker": "Tutor", - "dialogue": "Can estimaten." - }, - { - "start": "35:30.04", - "stop": "35:30.44", - "speaker": "Student", - "dialogue": "Estimate." - }, - { - "start": "35:30.56", - "stop": "35:31.48", - "speaker": "Tutor", - "dialogue": "Doesn't have to be exact." - }, - { - "start": "35:32.20", - "stop": "35:33.68", - "speaker": "Student", - "dialogue": "Oh, it doesn't have to be exact, you." - }, - { - "start": "35:33.76", - "stop": "35:35.20", - "speaker": "Tutor", - "dialogue": "Can do an estimate for these purposes." - }, - { - "start": "35:35.24", - "stop": "35:35.72", - "speaker": "Tutor", - "dialogue": "That's fine." - }, - { - "start": "35:39.64", - "stop": "35:39.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "35:42.92", - "stop": "35:42.96", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "35:43.12", - "stop": "35:43.16", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "35:43.36", - "stop": "35:48.72", - "speaker": "Tutor", - "dialogue": "Increased ten, twenty, thirty, five, thirty five." - }, - { - "start": "35:48.88", - "stop": "35:50.04", - "speaker": "Student", - "dialogue": "Miles thirty five." - }, - { - "start": "35:51.00", - "stop": "35:52.76", - "speaker": "Tutor", - "dialogue": "And how much did the time increase?" - }, - { - "start": "35:54.04", - "stop": "35:55.20", - "speaker": "Student", - "dialogue": "One hour and thirty minutes." - }, - { - "start": "35:55.48", - "stop": "35:57.28", - "speaker": "Tutor", - "dialogue": "Show me how you got one hour and thirty minutes." - }, - { - "start": "35:58.84", - "stop": "36:04.60", - "speaker": "Student", - "dialogue": "'cause in between here to here, that'd be an hour and thirty minutes." - }, - { - "start": "36:07.04", - "stop": "36:10.04", - "speaker": "Tutor", - "dialogue": "How do you know it's an hour and thirty minutes, though I'm not seeing that?" - }, - { - "start": "36:11.44", - "stop": "36:19.12", - "speaker": "Student", - "dialogue": "Because for the time it goes by hours, so it goes from zero, one, two, three, four." - }, - { - "start": "36:19.80", - "stop": "36:21.52", - "speaker": "Student", - "dialogue": "So that'd be four hours in between." - }, - { - "start": "36:21.52", - "stop": "36:23.88", - "speaker": "Student", - "dialogue": "It'd be like the thirty minutes to get up to that hour." - }, - { - "start": "36:24.08", - "stop": "36:26.32", - "speaker": "Tutor", - "dialogue": "So each one of these intervals is worth thirty minutes?" - }, - { - "start": "36:26.80", - "stop": "36:26.96", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "36:27.40", - "stop": "36:27.68", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "36:28.12", - "stop": "36:31.28", - "speaker": "Tutor", - "dialogue": "So thirty minutes, thirty minutes, thirty minutes." - }, - { - "start": "36:32.36", - "stop": "36:36.52", - "speaker": "Student", - "dialogue": "Yes, that'd be an hour and thirty, a hot a thirty." - }, - { - "start": "36:36.80", - "stop": "36:38.36", - "speaker": "Tutor", - "dialogue": "From here to hear is thirty minutes." - }, - { - "start": "36:38.80", - "stop": "36:40.36", - "speaker": "Tutor", - "dialogue": "Uhhuh, here to hear was." - }, - { - "start": "36:41.32", - "stop": "36:41.52", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "36:41.64", - "stop": "36:41.76", - "speaker": "Student", - "dialogue": "no." - }, - { - "start": "36:43.44", - "stop": "36:43.92", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "36:44.28", - "stop": "36:44.32", - "speaker": "Tutor", - "dialogue": "what?" - }, - { - "start": "36:46.28", - "stop": "36:49.28", - "speaker": "Student", - "dialogue": "Oh, that's so stupid." - }, - { - "start": "36:51.24", - "stop": "36:55.36", - "speaker": "Tutor", - "dialogue": "You made some predictions, and now as you're justifying, you get to revise." - }, - { - "start": "36:55.68", - "stop": "37:03.12", - "speaker": "Tutor", - "dialogue": "It's just like when you're writing a paper in English, you do a rough draft, then you go through and make some edits, and you revise it." - }, - { - "start": "37:04.12", - "stop": "37:07.12", - "speaker": "Tutor", - "dialogue": "Whenever you make your edits and your revisions in your English paper." - }, - { - "start": "37:07.16", - "stop": "37:07.56", - "speaker": "Tutor", - "dialogue": "Do you say?" - }, - { - "start": "37:07.60", - "stop": "37:11.60", - "speaker": "Tutor", - "dialogue": "Oh, my gosh, I'm so stupid because I forgot a period, or I want to change this word." - }, - { - "start": "37:12.92", - "stop": "37:13.48", - "speaker": "Student", - "dialogue": "No, no." - }, - { - "start": "37:13.60", - "stop": "37:15.04", - "speaker": "Tutor", - "dialogue": "It's just part of the writing process." - }, - { - "start": "37:16.08", - "stop": "37:18.12", - "speaker": "Tutor", - "dialogue": "Same thing with math problem solving." - }, - { - "start": "37:18.48", - "stop": "37:23.80", - "speaker": "Tutor", - "dialogue": "When you evolve and revise, That means that you are just evolving or revising." - }, - { - "start": "37:23.88", - "stop": "37:25.08", - "speaker": "Tutor", - "dialogue": "It's part of the process, that's it." - }, - { - "start": "37:26.60", - "stop": "37:27.60", - "speaker": "Student", - "dialogue": "Ok, okay?" - }, - { - "start": "37:28.48", - "stop": "37:28.72", - "speaker": "Tutor", - "dialogue": "Km." - }, - { - "start": "37:29.00", - "stop": "37:29.12", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "37:29.24", - "stop": "37:31.76", - "speaker": "Tutor", - "dialogue": "Right, so let's change it over here on your label." - }, - { - "start": "37:40.00", - "stop": "37:40.60", - "speaker": "Student", - "dialogue": "A. A." - }, - { - "start": "37:43.16", - "stop": "37:49.92", - "speaker": "Tutor", - "dialogue": "Okay earlier, you said D to E is New York City, but I'm not sure I can justify why." - }, - { - "start": "37:53.96", - "stop": "38:02.04", - "speaker": "Student", - "dialogue": "Ok, well, we said here that it specifically shows the distance on the map." - }, - { - "start": "38:02.76", - "stop": "38:18.12", - "speaker": "Student", - "dialogue": "So maybe since it's like woggly here, maybe it's showing that they had trouble going through in New York, doing that or having it usual." - }, - { - "start": "38:18.28", - "stop": "38:22.56", - "speaker": "Tutor", - "dialogue": "Purple power to justify what's going on between Andy." - }, - { - "start": "38:24.80", - "stop": "38:40.44", - "speaker": "Student", - "dialogue": "So the time, the distance is increasing, and the time is also increasing, but the distance is shaky when going through D. E." - }, - { - "start": "38:41.80", - "stop": "38:47.68", - "speaker": "Tutor", - "dialogue": "So does that mean that the distance is increasing the entire time, it decreasing the entire time?" - }, - { - "start": "38:48.36", - "stop": "39:06.64", - "speaker": "Student", - "dialogue": "It would, the distance would increase, decreased in some distance would increase and decrease in some areas, Like how here it increases, but then it goes down, decreasing up again." - }, - { - "start": "39:06.92", - "stop": "39:10.76", - "speaker": "Tutor", - "dialogue": "And when it goes almost horizontal, that's when it's staying the same like it was." - }, - { - "start": "39:11.96", - "stop": "39:16.76", - "speaker": "Tutor", - "dialogue": "So if the distance is increasing and then staying the same, and then increasing and then staying the same." - }, - { - "start": "39:17.52", - "stop": "39:18.96", - "speaker": "Student", - "dialogue": "Yeah, as ain." - }, - { - "start": "39:19.08", - "stop": "39:21.12", - "speaker": "Tutor", - "dialogue": "Continues to increase what's going on." - }, - { - "start": "39:22.08", - "stop": "39:22.80", - "speaker": "Student", - "dialogue": "Maybe it show." - }, - { - "start": "39:23.08", - "stop": "39:25.76", - "speaker": "Student", - "dialogue": "maybe when it increases and then stays the same." - }, - { - "start": "39:25.84", - "stop": "39:27.28", - "speaker": "Student", - "dialogue": "Maybe it's showing like the traffic." - }, - { - "start": "39:29.44", - "stop": "39:31.68", - "speaker": "Tutor", - "dialogue": "Pos, what's going on with the traffic?" - }, - { - "start": "39:32.36", - "stop": "39:40.88", - "speaker": "Student", - "dialogue": "Like it like, there's like a lot of traffic in New York, so therefore like it'd stay the same for a bit, because they're waiting for it to clear up." - }, - { - "start": "39:41.08", - "stop": "39:42.20", - "speaker": "Student", - "dialogue": "and then they continue." - }, - { - "start": "39:42.36", - "stop": "39:45.36", - "speaker": "Student", - "dialogue": "Then they stay the same and continues to the same." - }, - { - "start": "39:46.44", - "stop": "39:48.64", - "speaker": "Student", - "dialogue": "continue until they get more up." - }, - { - "start": "39:50.00", - "stop": "39:54.24", - "speaker": "Tutor", - "dialogue": "Got in the car and di just continue to increase as time increased." - }, - { - "start": "39:54.52", - "stop": "39:56.12", - "speaker": "Student", - "dialogue": "Y showing that there's no traffic." - }, - { - "start": "39:56.20", - "stop": "39:58.72", - "speaker": "Tutor", - "dialogue": "At all right, so it's at a constant rate." - }, - { - "start": "39:59.32", - "stop": "40:02.48", - "speaker": "Tutor", - "dialogue": "It's just travelling at the same the same w." - }, - { - "start": "40:04.12", - "stop": "40:06.76", - "speaker": "Student", - "dialogue": "Same rate ate rate of change." - }, - { - "start": "40:07.28", - "stop": "40:07.52", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "40:08.96", - "stop": "40:09.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "40:09.52", - "stop": "40:15.52", - "speaker": "Tutor", - "dialogue": "Rate of change, and in this situation, if you got in the car and you're driving in the car" - }, - { - "start": "40:16.36", - "stop": "40:23.04", - "speaker": "Tutor", - "dialogue": "like this, where you just continue to go, would you say we're travelling at the same rate of change?" - }, - { - "start": "40:24.88", - "stop": "40:24.92", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "40:25.16", - "stop": "40:27.28", - "speaker": "Tutor", - "dialogue": "Word, what word would you use in the car?" - }, - { - "start": "40:28.60", - "stop": "40:28.64", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "40:28.76", - "stop": "40:29.96", - "speaker": "Tutor", - "dialogue": "Car's going the same." - }, - { - "start": "40:32.16", - "stop": "40:38.44", - "speaker": "Student", - "dialogue": "But the same distance, not the same, just the same rate." - }, - { - "start": "40:40.64", - "stop": "40:41.60", - "speaker": "Tutor", - "dialogue": "Is it going fast?" - }, - { - "start": "40:42.48", - "stop": "40:43.16", - "speaker": "Student", - "dialogue": "Constant rate." - }, - { - "start": "40:43.92", - "stop": "40:45.72", - "speaker": "Tutor", - "dialogue": "Ah, you could also say constant rate." - }, - { - "start": "40:50.04", - "stop": "40:50.08", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "40:50.24", - "stop": "40:54.16", - "speaker": "Tutor", - "dialogue": "There's also a special relationship between miles per hour." - }, - { - "start": "40:56.60", - "stop": "40:56.88", - "speaker": "Student", - "dialogue": "Do you know?" - }, - { - "start": "40:56.96", - "stop": "40:57.84", - "speaker": "Tutor", - "dialogue": "What that one is called?" - }, - { - "start": "41:10.48", - "stop": "41:10.52", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "41:10.76", - "stop": "41:14.12", - "speaker": "Tutor", - "dialogue": "The car was going, go and going, then it stopped." - }, - { - "start": "41:14.80", - "stop": "41:16.00", - "speaker": "Tutor", - "dialogue": "It was going, going, going." - }, - { - "start": "41:16.52", - "stop": "41:20.56", - "speaker": "Tutor", - "dialogue": "Then it's stopping and going, stopping and going, stopping and going, and it's going." - }, - { - "start": "41:22.44", - "stop": "41:22.64", - "speaker": "Student", - "dialogue": "There's" - }, - { - "start": "41:22.72", - "stop": "41:30.00", - "speaker": "Tutor", - "dialogue": "Another measurement we can use to describe what's happening there, and it's the relationship between miles and hours." - }, - { - "start": "41:30.56", - "stop": "41:31.52", - "speaker": "Tutor", - "dialogue": "Do you have any guesses?" - }, - { - "start": "41:33.56", - "stop": "41:34.92", - "speaker": "Student", - "dialogue": "As of currently, No." - }, - { - "start": "41:35.96", - "stop": "41:39.60", - "speaker": "Tutor", - "dialogue": "As soon as I write this and show you you're going to say Oh, you're ready." - }, - { - "start": "41:40.56", - "stop": "41:42.68", - "speaker": "Student", - "dialogue": "Yeah, oh." - }, - { - "start": "41:46.00", - "stop": "41:46.04", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "41:46.16", - "stop": "41:46.32", - "speaker": "Student", - "dialogue": "Were?" - }, - { - "start": "41:46.48", - "stop": "41:50.40", - "speaker": "Tutor", - "dialogue": "Thinking of math words, rate of change, Yep, consqant rate." - }, - { - "start": "41:50.68", - "stop": "41:53.60", - "speaker": "Tutor", - "dialogue": "Yep, we could also be talking about slope." - }, - { - "start": "41:54.76", - "stop": "41:55.52", - "speaker": "Student", - "dialogue": "Oh, slope." - }, - { - "start": "41:55.84", - "stop": "41:58.08", - "speaker": "Tutor", - "dialogue": "Y, we cauld also be talking about the speed." - }, - { - "start": "42:01.16", - "stop": "42:01.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "42:01.44", - "stop": "42:06.76", - "speaker": "Tutor", - "dialogue": "The relationship between the miles and the hours is shown with that blue graph." - }, - { - "start": "42:08.76", - "stop": "42:08.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "42:09.12", - "stop": "42:14.56", - "speaker": "Tutor", - "dialogue": "Here, from A to B, it's going at a constant speed, and then from B to C, the speed." - }, - { - "start": "42:14.96", - "stop": "42:15.80", - "speaker": "Tutor", - "dialogue": "what happens with it?" - }, - { - "start": "42:17.04", - "stop": "42:19.24", - "speaker": "Student", - "dialogue": "Stop or stays, stops." - }, - { - "start": "42:19.80", - "stop": "42:22.28", - "speaker": "Tutor", - "dialogue": "Ah, it says the same during that time from C to D." - }, - { - "start": "42:23.92", - "stop": "42:24.72", - "speaker": "Student", - "dialogue": "It increases." - }, - { - "start": "42:25.40", - "stop": "42:26.56", - "speaker": "Tutor", - "dialogue": "And from D to e?" - }, - { - "start": "42:27.72", - "stop": "42:31.00", - "speaker": "Student", - "dialogue": "It increases and stays the same in some areas." - }, - { - "start": "42:31.20", - "stop": "42:31.24", - "speaker": "Student", - "dialogue": "yeah." - }, - { - "start": "42:31.56", - "stop": "42:32.16", - "speaker": "Tutor", - "dialogue": "It varies." - }, - { - "start": "42:32.24", - "stop": "42:40.68", - "speaker": "Tutor", - "dialogue": "It's not a constant rate between D and e. It's a constant rate between the other segments, but not D and e. That's that wiggly par that we weren't sure." - }, - { - "start": "42:41.32", - "stop": "42:45.24", - "speaker": "Tutor", - "dialogue": "Y, so is d to e because the road has bumps and potholes in it." - }, - { - "start": "42:46.24", - "stop": "42:47.92", - "speaker": "Student", - "dialogue": "No, that K in the." - }, - { - "start": "42:48.04", - "stop": "42:49.80", - "speaker": "Tutor", - "dialogue": "Traffic, Ah, has the." - }, - { - "start": "42:50.12", - "stop": "42:56.76", - "speaker": "Tutor", - "dialogue": "It's because of the relationship of miles to ours that tells us from D to E. something's going on with a speed there." - }, - { - "start": "42:57.36", - "stop": "42:58.48", - "speaker": "Student", - "dialogue": "Yeahs." - }, - { - "start": "42:58.56", - "stop": "42:59.04", - "speaker": "Tutor", - "dialogue": "Uping now." - }, - { - "start": "43:00.12", - "stop": "43:00.40", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "43:00.60", - "stop": "43:24.44", - "speaker": "Tutor", - "dialogue": "Thinking so whenever you're looking at graphs, whether it's distance and time or any other variables, so if you're talking about days that you've worked or hours that you've worked, and amount of money you've made, or any sort of relationship between two things that are changing that you graph, The vertical axis is describing how one thing is changing." - }, - { - "start": "43:24.96", - "stop": "43:30.36", - "speaker": "Tutor", - "dialogue": "I want you to always think about Is that thing increasing decreasing or staying the same." - }, - { - "start": "43:31.64", - "stop": "43:35.16", - "speaker": "Tutor", - "dialogue": "Then, on the horizontal axis it's another thing that is changing." - }, - { - "start": "43:35.92", - "stop": "43:38.96", - "speaker": "Tutor", - "dialogue": "Is it increasing decreasing or staying the same?" - }, - { - "start": "43:39.84", - "stop": "43:49.12", - "speaker": "Tutor", - "dialogue": "And the graph that's in the middle is showing the relationship between how those two things are changing in relation to each other?" - }, - { - "start": "43:51.16", - "stop": "43:51.32", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "43:51.36", - "stop": "43:52.00", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "43:52.80", - "stop": "43:53.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "43:55.12", - "stop": "43:57.68", - "speaker": "Tutor", - "dialogue": "We are out of time for today, so we're going to stop right there" - }, - { - "start": "43:58.08", - "stop": "44:00.24", - "speaker": "Tutor", - "dialogue": "and I want a little bit of a reflection from you." - }, - { - "start": "44:00.60", - "stop": "44:06.40", - "speaker": "Tutor", - "dialogue": "You know that we are learning about how this platform works and mastering in this environment, and you're helping us with that." - }, - { - "start": "44:07.32", - "stop": "44:08.64", - "speaker": "Tutor", - "dialogue": "So your voice matters." - }, - { - "start": "44:09.12", - "stop": "44:11.04", - "speaker": "Tutor", - "dialogue": "What was this experience like for you?" - }, - { - "start": "44:11.56", - "stop": "44:12.44", - "speaker": "Tutor", - "dialogue": "What was helpful?" - }, - { - "start": "44:13.00", - "stop": "44:14.20", - "speaker": "Tutor", - "dialogue": "What wasn't helpful?" - }, - { - "start": "44:14.68", - "stop": "44:17.24", - "speaker": "Tutor", - "dialogue": "What should we change or what should we continue doing?" - }, - { - "start": "44:18.28", - "stop": "44:20.28", - "speaker": "Student", - "dialogue": "It made me feel less dumb." - }, - { - "start": "44:20.80", - "stop": "44:21.60", - "speaker": "Tutor", - "dialogue": "What do you mean by that?" - }, - { - "start": "44:22.52", - "stop": "44:36.72", - "speaker": "Student", - "dialogue": "Like I feel like since I'm out of school, I just stopped thinking about like everything, and now that I've done this, I feel like I know a little bit more that I can use to get ready for um tenth grade." - }, - { - "start": "44:37.60", - "stop": "44:39.24", - "speaker": "Tutor", - "dialogue": "So it's like a little thinking workout." - }, - { - "start": "44:39.68", - "stop": "44:40.12", - "speaker": "Student", - "dialogue": "Yeah, yeah." - }, - { - "start": "44:40.44", - "stop": "44:46.04", - "speaker": "Tutor", - "dialogue": "Well, is there anything you feel like you learned or you're thinking differently about after doing this?" - }, - { - "start": "44:48.12", - "stop": "44:58.52", - "speaker": "Student", - "dialogue": "Well, I got reminded of constant rate of change, and like distance and miles and such of graphs." - }, - { - "start": "44:59.52", - "stop": "45:02.28", - "speaker": "Tutor", - "dialogue": "So if it's a constant rate, it's going to be a smooth line." - }, - { - "start": "45:02.68", - "stop": "45:04.12", - "speaker": "Tutor", - "dialogue": "I often find the slope of that." - }, - { - "start": "45:04.88", - "stop": "45:09.28", - "speaker": "Tutor", - "dialogue": "Those are all those linear equations and linear stuff that you do if" - }, - { - "start": "45:09.32", - "stop": "45:10.64", - "speaker": "Tutor", - "dialogue": "it's a bumpy line like this." - }, - { - "start": "45:12.24", - "stop": "45:12.52", - "speaker": "Student", - "dialogue": "Can't?" - }, - { - "start": "45:12.68", - "stop": "45:30.12", - "speaker": "Tutor", - "dialogue": "Find the slope of it with the tools you have from Y equals andx plus B. but there are ways in future learning that you can find the slope of where it's a nonconstant rate of changehm." - }, - { - "start": "45:30.20", - "stop": "45:30.28", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "45:30.36", - "stop": "45:33.48", - "speaker": "Tutor", - "dialogue": "Right, anything, you think that we should do different or would be helpful for us to know?" - }, - { - "start": "45:34.44", - "stop": "45:44.80", - "speaker": "Student", - "dialogue": "Hello, Deod, great, I think you really helped me try to be confident with my answers, which I'm not usually confident with." - }, - { - "start": "45:45.60", - "stop": "45:47.64", - "speaker": "Tutor", - "dialogue": "Yeah, you're a powerful maththinker." - }, - { - "start": "45:48.16", - "stop": "45:51.04", - "speaker": "Tutor", - "dialogue": "You do a great job of thinking and processing." - }, - { - "start": "45:51.28", - "stop": "45:52.00", - "speaker": "Tutor", - "dialogue": "Because I heard it." - }, - { - "start": "45:52.12", - "stop": "45:52.64", - "speaker": "Tutor", - "dialogue": "You were doing it." - }, - { - "start": "45:52.88", - "stop": "45:58.44", - "speaker": "Tutor", - "dialogue": "Live so own that and you don't need to wait for anybody else to tell you if something's right or wrong." - }, - { - "start": "45:58.96", - "stop": "46:01.92", - "speaker": "Tutor", - "dialogue": "Continue thinking through it until you convince yourself" - }, - { - "start": "46:02.92", - "stop": "46:04.72", - "speaker": "Tutor", - "dialogue": "this is what it is or no, it's not." - }, - { - "start": "46:05.16", - "stop": "46:07.64", - "speaker": "Tutor", - "dialogue": "You Are the authority of your math, nobody else." - }, - { - "start": "46:09.56", - "stop": "46:09.72", - "speaker": "Student", - "dialogue": "Own." - }, - { - "start": "46:09.80", - "stop": "46:10.32", - "speaker": "Tutor", - "dialogue": "It got it." - }, - { - "start": "46:11.12", - "stop": "46:11.84", - "speaker": "Student", - "dialogue": "Yep, dill." - }, - { - "start": "46:14.20", - "stop": "46:18.24", - "speaker": "Tutor", - "dialogue": "Have a great evening and thank you so much for helping us out." - }, - { - "start": "46:18.84", - "stop": "46:21.16", - "speaker": "Tutor", - "dialogue": "And you all right goodbye." - } -] \ No newline at end of file diff --git a/data/amber/7122022ET.json b/data/amber/7122022ET.json deleted file mode 100644 index c4eb10d..0000000 --- a/data/amber/7122022ET.json +++ /dev/null @@ -1,3140 +0,0 @@ -[ - { - "start": "00:04.64", - "stop": "00:05.64", - "speaker": "Tutor", - "dialogue": "I flipped the screen." - }, - { - "start": "00:05.72", - "stop": "00:07.00", - "speaker": "Tutor", - "dialogue": "Do you see something different now?" - }, - { - "start": "00:09.08", - "stop": "00:09.24", - "speaker": "Student", - "dialogue": "Take." - }, - { - "start": "00:09.32", - "stop": "00:15.44", - "speaker": "Tutor", - "dialogue": "A second to read it and look at this, and then describe to me what you think is happening in this situation." - }, - { - "start": "00:35.92", - "stop": "00:41.64", - "speaker": "Student", - "dialogue": "Um, a car is going from Providence to Uh, New York." - }, - { - "start": "00:43.32", - "stop": "00:45.72", - "speaker": "Tutor", - "dialogue": "Okay, so the car is traveling?" - }, - { - "start": "00:46.32", - "stop": "00:47.56", - "speaker": "Tutor", - "dialogue": "Yeah, on this journey." - }, - { - "start": "00:48.44", - "stop": "00:48.76", - "speaker": "Student", - "dialogue": "Mmhm." - }, - { - "start": "00:49.28", - "stop": "00:53.20", - "speaker": "Tutor", - "dialogue": "What are some things that we might be able to measure in this situation?" - }, - { - "start": "00:55.96", - "stop": "01:02.64", - "speaker": "Student", - "dialogue": "Um, the distance, maybe?" - }, - { - "start": "01:03.12", - "stop": "01:03.92", - "speaker": "Tutor", - "dialogue": "Say more about that." - }, - { - "start": "01:05.20", - "stop": "01:10.20", - "speaker": "Student", - "dialogue": "Like how far it takes to go from one place to another, okay?" - }, - { - "start": "01:10.56", - "stop": "01:12.80", - "speaker": "Tutor", - "dialogue": "What unit would we use to measure distance?" - }, - { - "start": "01:15.08", - "stop": "01:17.60", - "speaker": "Student", - "dialogue": "Um, I'm not sure." - }, - { - "start": "01:18.12", - "stop": "01:21.60", - "speaker": "Tutor", - "dialogue": "Okay, what are some things we might be able to measure distance with?" - }, - { - "start": "01:23.68", - "stop": "01:27.48", - "speaker": "Student", - "dialogue": "Uh, like yards, meters speeed." - }, - { - "start": "01:30.24", - "stop": "01:33.24", - "speaker": "Tutor", - "dialogue": "Is there anything else we might be able to measure in this situation?" - }, - { - "start": "01:35.48", - "stop": "01:45.16", - "speaker": "Student", - "dialogue": "Um, how long the car journey was?" - }, - { - "start": "01:47.88", - "stop": "01:50.08", - "speaker": "Tutor", - "dialogue": "What would we be thinking about if it's how long?" - }, - { - "start": "01:50.28", - "stop": "01:52.40", - "speaker": "Tutor", - "dialogue": "like how far it's traveled or something else?" - }, - { - "start": "01:53.96", - "stop": "01:58.20", - "speaker": "Student", - "dialogue": "Yeah, and like, maybe the the amount it takes like the time." - }, - { - "start": "01:59.96", - "stop": "02:05.04", - "speaker": "Tutor", - "dialogue": "Ah, if we were thinking about time, what unit would we use to measure that?" - }, - { - "start": "02:08.08", - "stop": "02:09.20", - "speaker": "Student", - "dialogue": "Um, ours." - }, - { - "start": "02:12.52", - "stop": "02:14.52", - "speaker": "Tutor", - "dialogue": "Anything else we can measure in this situation?" - }, - { - "start": "02:19.40", - "stop": "02:20.12", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "02:22.36", - "stop": "02:28.64", - "speaker": "Tutor", - "dialogue": "I'm going to uncover something now, and I want you to think about how it was similar or different to what you were thinking about." - }, - { - "start": "02:38.88", - "stop": "02:41.52", - "speaker": "Student", - "dialogue": "Oh, this is pretty similar to what I was thinking about." - }, - { - "start": "02:42.00", - "stop": "02:42.32", - "speaker": "Tutor", - "dialogue": "How so?" - }, - { - "start": "02:43.80", - "stop": "02:48.92", - "speaker": "Student", - "dialogue": "Uh, like the amount it takes to travel a certain mile, M." - }, - { - "start": "02:49.76", - "stop": "02:50.48", - "speaker": "Tutor", - "dialogue": "Oay, so you we?" - }, - { - "start": "02:50.76", - "stop": "02:53.64", - "speaker": "Tutor", - "dialogue": "You were thinking we could measure something like distance in miles?" - }, - { - "start": "02:54.36", - "stop": "02:54.60", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "02:55.44", - "stop": "02:58.16", - "speaker": "Tutor", - "dialogue": "What about the X axs?" - }, - { - "start": "02:58.28", - "stop": "02:59.40", - "speaker": "Tutor", - "dialogue": "Were you thinking about that one?" - }, - { - "start": "03:03.00", - "stop": "03:03.12", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "03:04.32", - "stop": "03:10.88", - "speaker": "Tutor", - "dialogue": "You actually said how far or how long it would take and you talked about being able to think about the time or hours." - }, - { - "start": "03:11.76", - "stop": "03:11.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:12.40", - "stop": "03:17.04", - "speaker": "Tutor", - "dialogue": "Yeah, so you were thinking about measuring these two variables in this situation?" - }, - { - "start": "03:19.36", - "stop": "03:19.48", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "03:19.56", - "stop": "03:28.68", - "speaker": "Tutor", - "dialogue": "I want you to describe as you look at the map and the graph, what is happening in each stage of this journey." - }, - { - "start": "03:34.88", - "stop": "03:37.88", - "speaker": "Student", - "dialogue": "Every hour they're traveling Uh more farther." - }, - { - "start": "03:38.80", - "stop": "03:39.12", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:48.48", - "stop": "03:48.60", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "03:48.64", - "stop": "03:52.60", - "speaker": "Tutor", - "dialogue": "They traveling in the same way the entire journey." - }, - { - "start": "03:53.72", - "stop": "03:53.84", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "03:54.24", - "stop": "03:54.88", - "speaker": "Tutor", - "dialogue": "What's different?" - }, - { - "start": "03:56.00", - "stop": "04:03.80", - "speaker": "Student", - "dialogue": "Uhh, sometimes they like travel farther than the other times, Like A to B is like longer than B, T, C." - }, - { - "start": "04:05.00", - "stop": "04:07.48", - "speaker": "Tutor", - "dialogue": "What is longer in A to B than B, T, C?" - }, - { - "start": "04:08.56", - "stop": "04:09.24", - "speaker": "Student", - "dialogue": "The distance." - }, - { - "start": "04:10.52", - "stop": "04:14.64", - "speaker": "Tutor", - "dialogue": "Okay, and what about from C to D or d to E?" - }, - { - "start": "04:16.28", - "stop": "04:27.04", - "speaker": "Student", - "dialogue": "Uh, C, e, d T, E, kind of looks like a different like measure of distance, Um." - }, - { - "start": "04:33.88", - "stop": "04:33.92", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "04:34.16", - "stop": "04:37.00", - "speaker": "Student", - "dialogue": "It's showing the like, the the squiggly lines." - }, - { - "start": "04:38.88", - "stop": "04:40.64", - "speaker": "Tutor", - "dialogue": "What does tho squiggly lines mean?" - }, - { - "start": "04:43.76", - "stop": "04:51.20", - "speaker": "Student", - "dialogue": "Uh, the distance, Um, within three hours, I mean different hours." - }, - { - "start": "04:52.56", - "stop": "04:56.52", - "speaker": "Tutor", - "dialogue": "Okay, so if we think about the car now and how it's traveling?" - }, - { - "start": "04:57.36", - "stop": "04:57.64", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "04:57.84", - "stop": "05:04.12", - "speaker": "Tutor", - "dialogue": "What could you say is happening from A to B or B to C or C to D, and so on on the trip?" - }, - { - "start": "05:05.68", - "stop": "05:14.16", - "speaker": "Student", - "dialogue": "Ah, it seems that like A to D is like a more smoother ride, But then like D to e, there's like some complications maybe." - }, - { - "start": "05:14.72", - "stop": "05:16.04", - "speaker": "Tutor", - "dialogue": "What do you mean by smoother?" - }, - { - "start": "05:16.20", - "stop": "05:23.28", - "speaker": "Student", - "dialogue": "Ride, uh, because it's like a straight line and like, they probably didn't make any stops." - }, - { - "start": "05:24.72", - "stop": "05:25.00", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "05:25.92", - "stop": "05:32.40", - "speaker": "Tutor", - "dialogue": "So if they didn't make any stops, they were just traveling a a constant okay?" - }, - { - "start": "05:34.20", - "stop": "05:34.24", - "speaker": "Student", - "dialogue": "Co." - }, - { - "start": "05:35.24", - "stop": "05:47.40", - "speaker": "Tutor", - "dialogue": "Where now we're going to think about how the map and the graph were related to each other, and start using some labels, So how do you see them as being related?" - }, - { - "start": "05:50.40", - "stop": "05:53.00", - "speaker": "Student", - "dialogue": "Uh, it like shows the car journey." - }, - { - "start": "06:02.84", - "stop": "06:05.88", - "speaker": "Tutor", - "dialogue": "So where would some of these points be on the map?" - }, - { - "start": "06:09.80", - "stop": "06:13.24", - "speaker": "Student", - "dialogue": "Like New York, New Jersey." - }, - { - "start": "06:14.16", - "stop": "06:15.92", - "speaker": "Tutor", - "dialogue": "Which one would represent?" - }, - { - "start": "06:17.84", - "stop": "06:18.04", - "speaker": "Student", - "dialogue": "New." - }, - { - "start": "06:18.12", - "stop": "06:21.56", - "speaker": "Tutor", - "dialogue": "Jersey or New York, or Providence, or anywhere along the path." - }, - { - "start": "06:25.92", - "stop": "06:32.72", - "speaker": "Student", - "dialogue": "I think A to B is like Providence, to Ne, New York, No new ork." - }, - { - "start": "06:34.60", - "stop": "06:36.04", - "speaker": "Tutor", - "dialogue": "So, yeah, that's so." - }, - { - "start": "06:36.16", - "stop": "06:44.16", - "speaker": "Tutor", - "dialogue": "that's what I want you to do with your pencil or your text, Um, bar, whatever you want to use, label where these points would be located on the map." - }, - { - "start": "09:28.64", - "stop": "09:30.16", - "speaker": "Tutor", - "dialogue": "Are you still labeling or are you finished?" - }, - { - "start": "09:31.08", - "stop": "09:33.00", - "speaker": "Student", - "dialogue": "Uh, I think this is good." - }, - { - "start": "09:33.44", - "stop": "09:38.52", - "speaker": "Tutor", - "dialogue": "Okay, so use your cursor on the map now to show me how the car travels." - }, - { - "start": "09:40.52", - "stop": "09:58.28", - "speaker": "Student", - "dialogue": "Um, like A to B is like from here, and then B to D is like to New York, and then D, t, E is to New Jersey Turnpike, and then e, t. F is New York." - }, - { - "start": "09:59.44", - "stop": "10:02.24", - "speaker": "Tutor", - "dialogue": "Okay, so you said A to B is up here?" - }, - { - "start": "10:03.32", - "stop": "10:03.60", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "10:04.24", - "stop": "10:07.04", - "speaker": "Tutor", - "dialogue": "So A we start in Providence." - }, - { - "start": "10:09.24", - "stop": "10:09.28", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "10:09.40", - "stop": "10:10.32", - "speaker": "Tutor", - "dialogue": "Then you have Providence." - }, - { - "start": "10:10.44", - "stop": "10:15.32", - "speaker": "Tutor", - "dialogue": "Here is Providence, this whole section, or is Providence" - }, - { - "start": "10:15.44", - "stop": "10:16.32", - "speaker": "Tutor", - "dialogue": "one of these points?" - }, - { - "start": "10:20.52", - "stop": "10:21.36", - "speaker": "Student", - "dialogue": "The whole section." - }, - { - "start": "10:23.24", - "stop": "10:28.28", - "speaker": "Tutor", - "dialogue": "Okay, so let's look at this distance thing here." - }, - { - "start": "10:30.36", - "stop": "10:30.76", - "speaker": "Student", - "dialogue": "Distance." - }, - { - "start": "10:30.92", - "stop": "10:33.44", - "speaker": "Tutor", - "dialogue": "Is being measured on the vertical axis?" - }, - { - "start": "10:35.08", - "stop": "10:35.12", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "10:35.36", - "stop": "10:39.08", - "speaker": "Tutor", - "dialogue": "From A to B is the distance imatype." - }, - { - "start": "10:39.12", - "stop": "10:41.80", - "speaker": "Tutor", - "dialogue": "Some words here for you to use as you think about this." - }, - { - "start": "10:43.80", - "stop": "10:43.84", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "10:44.08", - "stop": "10:45.88", - "speaker": "Tutor", - "dialogue": "Distance increasing." - }, - { - "start": "10:47.92", - "stop": "10:48.52", - "speaker": "Student", - "dialogue": "Decreasing." - }, - { - "start": "10:50.48", - "stop": "10:50.52", - "speaker": "Tutor", - "dialogue": "Or?" - }, - { - "start": "10:50.68", - "stop": "10:50.96", - "speaker": "Student", - "dialogue": "Staying." - }, - { - "start": "10:51.12", - "stop": "10:52.84", - "speaker": "Tutor", - "dialogue": "The same from A to B." - }, - { - "start": "10:55.76", - "stop": "10:56.72", - "speaker": "Student", - "dialogue": "It's increasing." - }, - { - "start": "10:58.36", - "stop": "11:05.24", - "speaker": "Tutor", - "dialogue": "So if distance is increasing from A to B, does that mean the car is traveling or it stopped?" - }, - { - "start": "11:10.32", - "stop": "11:11.08", - "speaker": "Student", - "dialogue": "It's traveling." - }, - { - "start": "11:11.24", - "stop": "11:22.12", - "speaker": "Tutor", - "dialogue": "It's traveling, and so if it's traveling, we're going to think about Providence as the starting point and then it travels to point B somewhere along." - }, - { - "start": "11:22.24", - "stop": "11:22.40", - "speaker": "Student", - "dialogue": "Here." - }, - { - "start": "11:24.08", - "stop": "11:26.76", - "speaker": "Tutor", - "dialogue": "Where do you think point B would be located on the map?" - }, - { - "start": "11:34.28", - "stop": "11:35.36", - "speaker": "Student", - "dialogue": "Phly, right here." - }, - { - "start": "11:35.72", - "stop": "11:37.56", - "speaker": "Tutor", - "dialogue": "Ok, you put it where you think it goes." - }, - { - "start": "11:45.28", - "stop": "11:45.32", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "11:45.48", - "stop": "11:49.60", - "speaker": "Tutor", - "dialogue": "You can label it with either the pencil tool or the text tool, whatever makes sense for you." - }, - { - "start": "12:18.68", - "stop": "12:18.72", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "12:18.80", - "stop": "12:22.16", - "speaker": "Tutor", - "dialogue": "Then put a dot exactly where you see point B on the." - }, - { - "start": "12:22.24", - "stop": "12:22.48", - "speaker": "Student", - "dialogue": "Map." - }, - { - "start": "12:32.72", - "stop": "12:33.56", - "speaker": "Tutor", - "dialogue": "Ok, So now?" - }, - { - "start": "12:36.28", - "stop": "12:36.48", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "12:36.52", - "stop": "12:38.64", - "speaker": "Tutor", - "dialogue": "Would point F be located?" - }, - { - "start": "12:55.92", - "stop": "12:55.96", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "12:56.24", - "stop": "13:01.04", - "speaker": "Tutor", - "dialogue": "Point F is when it reaches its destination at the end of the journey in Newark." - }, - { - "start": "13:01.60", - "stop": "13:01.80", - "speaker": "Tutor", - "dialogue": "Ok." - }, - { - "start": "13:02.88", - "stop": "13:03.72", - "speaker": "Tutor", - "dialogue": "Check your graph." - }, - { - "start": "13:04.20", - "stop": "13:07.16", - "speaker": "Tutor", - "dialogue": "Does your graph match what you are showing on you?" - }, - { - "start": "13:14.04", - "stop": "13:14.48", - "speaker": "Student", - "dialogue": "I think." - }, - { - "start": "13:16.08", - "stop": "13:18.92", - "speaker": "Tutor", - "dialogue": "Providence is the starting point." - }, - { - "start": "13:22.52", - "stop": "13:22.80", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "13:24.80", - "stop": "13:25.04", - "speaker": "Tutor", - "dialogue": "Let's." - }, - { - "start": "13:25.12", - "stop": "13:25.80", - "speaker": "Student", - "dialogue": "Go purple." - }, - { - "start": "13:26.56", - "stop": "13:32.68", - "speaker": "Tutor", - "dialogue": "Then the car travels, and is distance, increasing, decreasing, or staying the same from A to B." - }, - { - "start": "13:33.64", - "stop": "13:34.32", - "speaker": "Student", - "dialogue": "It increas." - }, - { - "start": "13:34.76", - "stop": "13:36.56", - "speaker": "Tutor", - "dialogue": "Okay, so the distance is increasing?" - }, - { - "start": "13:37.16", - "stop": "13:40.20", - "speaker": "Tutor", - "dialogue": "Am I at Providence any more once I reach B?" - }, - { - "start": "13:41.80", - "stop": "13:41.92", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "13:42.56", - "stop": "13:43.72", - "speaker": "Tutor", - "dialogue": "Am I at Providence" - }, - { - "start": "13:43.92", - "stop": "13:44.12", - "speaker": "Tutor", - "dialogue": "once?" - }, - { - "start": "13:44.16", - "stop": "13:44.76", - "speaker": "Tutor", - "dialogue": "I'm in here." - }, - { - "start": "13:48.40", - "stop": "13:48.64", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "13:48.80", - "stop": "13:54.20", - "speaker": "Tutor", - "dialogue": "So that might be some confusion, Providence is just this town that we leave from." - }, - { - "start": "13:55.96", - "stop": "13:56.12", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "13:56.20", - "stop": "14:01.24", - "speaker": "Tutor", - "dialogue": "That make sense, So we're in Providence, and then we leave and travel to Point B." - }, - { - "start": "14:03.04", - "stop": "14:03.08", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "14:03.24", - "stop": "14:06.08", - "speaker": "Tutor", - "dialogue": "We're only in providence at the very beginning of our journey." - }, - { - "start": "14:07.56", - "stop": "14:07.60", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "14:07.76", - "stop": "14:14.52", - "speaker": "Tutor", - "dialogue": "If we're only in providence at the beginning of our journey, how can you change the label of your graph to match that?" - }, - { - "start": "14:17.08", - "stop": "14:18.24", - "speaker": "Student", - "dialogue": "Providence is only a A." - }, - { - "start": "14:20.12", - "stop": "14:26.20", - "speaker": "Tutor", - "dialogue": "Providence is the actual starting point, not the section where distance is increasing." - }, - { - "start": "14:31.28", - "stop": "14:31.32", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "14:31.44", - "stop": "14:38.52", - "speaker": "Tutor", - "dialogue": "Then, same thing with Newark, is Newark, the section from E to f, or is Newwark the end of the journey?" - }, - { - "start": "14:40.24", - "stop": "14:40.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "14:40.48", - "stop": "14:43.20", - "speaker": "Tutor", - "dialogue": "So it's just point F. beautiful." - }, - { - "start": "14:45.68", - "stop": "14:45.84", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "14:47.96", - "stop": "14:48.08", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "14:48.24", - "stop": "14:48.28", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "14:48.36", - "stop": "14:50.40", - "speaker": "Tutor", - "dialogue": "Said from A to B, distance is increasing." - }, - { - "start": "14:50.72", - "stop": "14:51.16", - "speaker": "Tutor", - "dialogue": "What about?" - }, - { - "start": "14:51.28", - "stop": "14:54.64", - "speaker": "Tutor", - "dialogue": "Time is time increasing, decreasing, or staying the same?" - }, - { - "start": "14:57.20", - "stop": "14:57.24", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "14:58.60", - "stop": "14:58.64", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "14:59.16", - "stop": "14:59.32", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "14:59.36", - "stop": "15:00.56", - "speaker": "Tutor", - "dialogue": "You're describing these things, too." - }, - { - "start": "15:00.60", - "stop": "15:09.68", - "speaker": "Tutor", - "dialogue": "I'm also going to challenge you to use those words, distance, time, and then, increasing, decreasing, or staying the same." - }, - { - "start": "15:13.12", - "stop": "15:13.16", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "15:13.44", - "stop": "15:13.60", - "speaker": "Tutor", - "dialogue": "When?" - }, - { - "start": "15:13.64", - "stop": "15:13.68", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "15:13.80", - "stop": "15:15.72", - "speaker": "Tutor", - "dialogue": "Say, tell me why you put the point there." - }, - { - "start": "15:17.32", - "stop": "15:21.72", - "speaker": "Tutor", - "dialogue": "Use those key power words to in your justification." - }, - { - "start": "15:24.68", - "stop": "15:24.72", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "15:25.04", - "stop": "15:27.36", - "speaker": "Tutor", - "dialogue": "Where do you think point C would be located?" - }, - { - "start": "15:27.48", - "stop": "15:51.28", - "speaker": "Student", - "dialogue": "Now cool." - }, - { - "start": "15:51.80", - "stop": "15:53.12", - "speaker": "Tutor", - "dialogue": "Now you get to justify it." - }, - { - "start": "15:53.88", - "stop": "15:55.28", - "speaker": "Tutor", - "dialogue": "Why is C there?" - }, - { - "start": "15:57.04", - "stop": "16:10.08", - "speaker": "Student", - "dialogue": "Um, I don't think it moved much, because on the graph like the time is only like, half is like thirty minutes, and the distance like, stay the same, Ah." - }, - { - "start": "16:10.48", - "stop": "16:13.00", - "speaker": "Tutor", - "dialogue": "So I'm going to use your textbox here." - }, - { - "start": "16:14.32", - "stop": "16:14.36", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "16:14.48", - "stop": "16:18.80", - "speaker": "Tutor", - "dialogue": "Type what I heard you saying, Okay and you're doing a good job of using those words." - }, - { - "start": "16:19.16", - "stop": "16:23.72", - "speaker": "Tutor", - "dialogue": "So the distance um b two C." - }, - { - "start": "16:27.60", - "stop": "16:27.64", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "16:27.76", - "stop": "16:30.76", - "speaker": "Tutor", - "dialogue": "Distance is increasing, decreasing, or staying the same." - }, - { - "start": "16:31.84", - "stop": "16:32.84", - "speaker": "Student", - "dialogue": "Is thing the same?" - }, - { - "start": "16:36.76", - "stop": "16:37.72", - "speaker": "Tutor", - "dialogue": "And what about the time?" - }, - { - "start": "16:39.48", - "stop": "16:50.24", - "speaker": "Student", - "dialogue": "It's increasing to thirty minutes's increasingy." - }, - { - "start": "16:53.08", - "stop": "16:55.12", - "speaker": "Tutor", - "dialogue": "Did whatle I type there capture what you're thinking?" - }, - { - "start": "16:55.92", - "stop": "16:55.96", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "16:56.48", - "stop": "17:01.04", - "speaker": "Tutor", - "dialogue": "So from B to c, the distance is staying is staying the." - }, - { - "start": "17:01.92", - "stop": "17:02.20", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "17:02.52", - "stop": "17:03.44", - "speaker": "Tutor", - "dialogue": "That was not very good." - }, - { - "start": "17:03.76", - "stop": "17:06.20", - "speaker": "Tutor", - "dialogue": "Is staying the same?" - }, - { - "start": "17:08.12", - "stop": "17:08.28", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "17:08.36", - "stop": "17:10.16", - "speaker": "Tutor", - "dialogue": "The time is increasing by thirty minutes." - }, - { - "start": "17:11.40", - "stop": "17:11.56", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "17:11.68", - "stop": "17:20.24", - "speaker": "Tutor", - "dialogue": "Your map show that same thing from B to C. The distance is staying the same as the time is increasing." - }, - { - "start": "17:21.96", - "stop": "17:22.52", - "speaker": "Student", - "dialogue": "A no." - }, - { - "start": "17:23.36", - "stop": "17:23.68", - "speaker": "Tutor", - "dialogue": "Why not?" - }, - { - "start": "17:25.56", - "stop": "17:29.04", - "speaker": "Student", - "dialogue": "A, he is like a little more farther than B." - }, - { - "start": "17:30.12", - "stop": "17:35.80", - "speaker": "Tutor", - "dialogue": "Ah, so your map shows the distance increasing from B to C." - }, - { - "start": "17:37.00", - "stop": "17:37.88", - "speaker": "Student", - "dialogue": "Hm, how could?" - }, - { - "start": "17:37.96", - "stop": "17:42.04", - "speaker": "Tutor", - "dialogue": "You make the map match your thinking and your words." - }, - { - "start": "17:44.40", - "stop": "17:45.92", - "speaker": "Student", - "dialogue": "Put C on point B." - }, - { - "start": "17:46.44", - "stop": "17:47.68", - "speaker": "Tutor", - "dialogue": "Can they be the same point?" - }, - { - "start": "17:50.64", - "stop": "17:50.92", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "17:51.92", - "stop": "17:51.96", - "speaker": "Student", - "dialogue": "yeah." - }, - { - "start": "17:52.64", - "stop": "17:53.64", - "speaker": "Tutor", - "dialogue": "Yeah, they can." - }, - { - "start": "17:54.24", - "stop": "17:54.48", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "17:54.64", - "stop": "17:54.88", - "speaker": "Tutor", - "dialogue": "cool." - }, - { - "start": "17:55.00", - "stop": "17:57.72", - "speaker": "Tutor", - "dialogue": "Do you get to change your mind and revise and edit in math?" - }, - { - "start": "17:58.96", - "stop": "17:59.56", - "speaker": "Student", - "dialogue": "Absolutely." - }, - { - "start": "18:01.08", - "stop": "18:02.56", - "speaker": "Tutor", - "dialogue": "So go ahead and change it." - }, - { - "start": "18:39.56", - "stop": "18:39.60", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "18:39.80", - "stop": "18:48.76", - "speaker": "Tutor", - "dialogue": "Keep going labeling D and E and then as you're labeling, think about how you're going to justify it in a complete sentence with those words." - }, - { - "start": "19:38.00", - "stop": "19:38.04", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "19:38.12", - "stop": "19:41.64", - "speaker": "Tutor", - "dialogue": "You want to justify why you put D there, or do you want to label E first?" - }, - { - "start": "19:43.16", - "stop": "19:44.40", - "speaker": "Student", - "dialogue": "Uh, I can justify." - }, - { - "start": "19:44.80", - "stop": "19:46.20", - "speaker": "Tutor", - "dialogue": "Okay, cool, I'm ready." - }, - { - "start": "19:47.64", - "stop": "19:56.88", - "speaker": "Student", - "dialogue": "Um, so from C to D, the time is increasing and the distance is also increasing to a hundred miles beautiful." - }, - { - "start": "19:59.32", - "stop": "19:59.36", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "19:59.68", - "stop": "19:59.88", - "speaker": "Student", - "dialogue": "Used." - }, - { - "start": "20:00.96", - "stop": "20:08.84", - "speaker": "Tutor", - "dialogue": "How this thing is changing and how this thing is changing at the same time, And that's what a graph shows us." - }, - { - "start": "20:10.28", - "stop": "20:12.96", - "speaker": "Tutor", - "dialogue": "This thing is changing in some way." - }, - { - "start": "20:13.76", - "stop": "20:22.96", - "speaker": "Tutor", - "dialogue": "This thing is changing in some way, and the picture in the middle describes howthose two things are changing in relation to each other." - }, - { - "start": "20:23.84", - "stop": "20:26.60", - "speaker": "Tutor", - "dialogue": "That's why I'm having you talk about it in a complete sentence." - }, - { - "start": "20:26.68", - "stop": "20:30.60", - "speaker": "Tutor", - "dialogue": "At the same time is to help grow that connection in the brain stronger." - }, - { - "start": "20:33.48", - "stop": "20:35.60", - "speaker": "Tutor", - "dialogue": "now, D to E. what's going on there?" - }, - { - "start": "20:43.36", - "stop": "20:51.72", - "speaker": "Student", - "dialogue": "It's like slowly increasing, but like there might be like something that happened." - }, - { - "start": "20:53.32", - "stop": "20:55.12", - "speaker": "Tutor", - "dialogue": "M, yeah, something's different here, huh?" - }, - { - "start": "20:56.44", - "stop": "20:56.48", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "20:56.88", - "stop": "20:57.28", - "speaker": "Tutor", - "dialogue": "Happened?" - }, - { - "start": "20:59.96", - "stop": "21:02.28", - "speaker": "Student", - "dialogue": "Maybe something like slowed them down." - }, - { - "start": "21:04.36", - "stop": "21:10.68", - "speaker": "Tutor", - "dialogue": "How do you know something slowed them down and again using those purple power words?" - }, - { - "start": "21:12.68", - "stop": "21:12.92", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "21:13.04", - "stop": "21:15.32", - "speaker": "Tutor", - "dialogue": "Making that line wiggly, what's happening?" - }, - { - "start": "21:18.60", - "stop": "21:28.84", - "speaker": "Student", - "dialogue": "Uh, like every time the hours pass by, it seems like the distance is slowly increasing, but there's like." - }, - { - "start": "21:40.80", - "stop": "21:47.32", - "speaker": "Tutor", - "dialogue": "So the distance is the distance increasing the whole time, decreasing sume or staying the same sum." - }, - { - "start": "21:49.00", - "stop": "21:53.08", - "speaker": "Student", - "dialogue": "Uh, it's like staying the same for some of them, but also increasing." - }, - { - "start": "21:53.52", - "stop": "21:53.56", - "speaker": "Student", - "dialogue": "yeah." - }, - { - "start": "21:53.84", - "stop": "21:56.52", - "speaker": "Tutor", - "dialogue": "So the distance increases, then stays the same." - }, - { - "start": "21:56.68", - "stop": "22:00.00", - "speaker": "Tutor", - "dialogue": "Then it increases, then it stays the samem." - }, - { - "start": "22:00.60", - "stop": "22:00.80", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "22:01.40", - "stop": "22:03.80", - "speaker": "Tutor", - "dialogue": "What's happening with time at that interval?" - }, - { - "start": "22:04.52", - "stop": "22:05.40", - "speaker": "Student", - "dialogue": "It's increasing." - }, - { - "start": "22:06.20", - "stop": "22:12.00", - "speaker": "Tutor", - "dialogue": "Yeah, so as time continues to increase, distance increases, then stays the same." - }, - { - "start": "22:12.68", - "stop": "22:14.80", - "speaker": "Tutor", - "dialogue": "So what describe?" - }, - { - "start": "22:14.84", - "stop": "22:15.72", - "speaker": "Tutor", - "dialogue": "what would the car?" - }, - { - "start": "22:15.96", - "stop": "22:18.28", - "speaker": "Tutor", - "dialogue": "What would be going on with the car at that point?" - }, - { - "start": "22:20.52", - "stop": "22:21.48", - "speaker": "Student", - "dialogue": "Maybe it stopped." - }, - { - "start": "22:22.52", - "stop": "22:23.96", - "speaker": "Tutor", - "dialogue": "Is it stopped the entire time?" - }, - { - "start": "22:26.96", - "stop": "22:27.80", - "speaker": "Student", - "dialogue": "Um, no." - }, - { - "start": "22:29.04", - "stop": "22:31.44", - "speaker": "Tutor", - "dialogue": "So it stops and then it goes." - }, - { - "start": "22:31.56", - "stop": "22:34.32", - "speaker": "Tutor", - "dialogue": "then it stops, then it goes and stops, and then it goes." - }, - { - "start": "22:35.56", - "stop": "22:35.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "22:36.28", - "stop": "22:39.64", - "speaker": "Tutor", - "dialogue": "Cool, So where do you want to put point E and hy?" - }, - { - "start": "22:41.92", - "stop": "22:45.08", - "speaker": "Student", - "dialogue": "Um, I think I'm going to put it like before this area." - }, - { - "start": "22:46.32", - "stop": "22:47.76", - "speaker": "Tutor", - "dialogue": "Why before New York City?" - }, - { - "start": "22:49.68", - "stop": "23:00.20", - "speaker": "Student", - "dialogue": "Because they still haven't like, 'cause like from D to E, they haven't reached Uh, their final destination yet." - }, - { - "start": "23:00.84", - "stop": "23:05.72", - "speaker": "Tutor", - "dialogue": "They haven't, and once they reach E, are they going to be stopping and going any more?" - }, - { - "start": "23:07.52", - "stop": "23:07.64", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "23:07.68", - "stop": "23:08.00", - "speaker": "Tutor", - "dialogue": "Do you know?" - }, - { - "start": "23:09.68", - "stop": "23:11.24", - "speaker": "Student", - "dialogue": "Uh, it's just like a straight line." - }, - { - "start": "23:12.28", - "stop": "23:16.04", - "speaker": "Tutor", - "dialogue": "So if it's a straight line, what does that mean about distance and and time?" - }, - { - "start": "23:17.32", - "stop": "23:18.96", - "speaker": "Student", - "dialogue": "They like keep on going." - }, - { - "start": "23:19.48", - "stop": "23:23.64", - "speaker": "Tutor", - "dialogue": "And do they keep on going at a constant rate or not constant?" - }, - { - "start": "23:27.56", - "stop": "23:28.00", - "speaker": "Student", - "dialogue": "Constant." - }, - { - "start": "23:28.44", - "stop": "23:32.20", - "speaker": "Tutor", - "dialogue": "If it's constant, that means the car is just traveling at the same rate." - }, - { - "start": "23:32.28", - "stop": "23:32.32", - "speaker": "Tutor", - "dialogue": "it." - }, - { - "start": "23:32.80", - "stop": "23:34.64", - "speaker": "Tutor", - "dialogue": "it isn't stopping and going, is it?" - }, - { - "start": "23:38.68", - "stop": "23:38.72", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "23:39.76", - "stop": "23:41.60", - "speaker": "Tutor", - "dialogue": "You tell me where you think E should be." - }, - { - "start": "23:44.08", - "stop": "23:44.12", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "23:44.32", - "stop": "23:44.48", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "23:48.52", - "stop": "23:48.64", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "23:48.68", - "stop": "23:53.16", - "speaker": "Tutor", - "dialogue": "You keeping it before New York City, putting it in New York City or after New York City?" - }, - { - "start": "23:55.64", - "stop": "23:59.64", - "speaker": "Student", - "dialogue": "I think I'm going to change you mind and put it in like New York City." - }, - { - "start": "24:00.36", - "stop": "24:01.60", - "speaker": "Tutor", - "dialogue": "Do you get to change your mind?" - }, - { - "start": "24:02.84", - "stop": "24:03.04", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "24:03.88", - "stop": "24:05.24", - "speaker": "Tutor", - "dialogue": "You're a powerful mathematician." - }, - { - "start": "24:11.16", - "stop": "24:11.20", - "speaker": "Student", - "dialogue": "Have?" - }, - { - "start": "24:11.28", - "stop": "24:12.44", - "speaker": "Tutor", - "dialogue": "You ever been to New York City?" - }, - { - "start": "24:13.52", - "stop": "24:15.80", - "speaker": "Student", - "dialogue": "Yeah, I actually live in New York City, do you?" - }, - { - "start": "24:16.44", - "stop": "24:24.68", - "speaker": "Tutor", - "dialogue": "Yeah, so if you're driving in New York City, do you get to just travel at a constant rate, or do you have to stop and go stop and go if you're in a car?" - }, - { - "start": "24:25.76", - "stop": "24:27.08", - "speaker": "Student", - "dialogue": "It's usually stop and go." - }, - { - "start": "24:27.72", - "stop": "24:33.40", - "speaker": "Tutor", - "dialogue": "Yeah, so which part of this graph shows a car that is stopping and going?" - }, - { - "start": "24:34.92", - "stop": "24:35.32", - "speaker": "Student", - "dialogue": "T. E." - }, - { - "start": "24:35.72", - "stop": "24:39.44", - "speaker": "Tutor", - "dialogue": "Yeah, yep, that's when they get stuck in that New York City traffic." - }, - { - "start": "24:42.68", - "stop": "24:43.00", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "24:44.80", - "stop": "24:44.96", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "24:45.04", - "stop": "24:45.08", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "24:45.40", - "stop": "24:48.84", - "speaker": "Tutor", - "dialogue": "Happy with your labels, Do you want to change or revise any of your labels?" - }, - { - "start": "24:49.96", - "stop": "24:51.24", - "speaker": "Student", - "dialogue": "Uh, I think this is good." - }, - { - "start": "24:51.48", - "stop": "24:51.92", - "speaker": "Tutor", - "dialogue": "That's good." - }, - { - "start": "24:52.12", - "stop": "24:54.60", - "speaker": "Tutor", - "dialogue": "Okay, so now let's go back to A to B." - }, - { - "start": "24:56.52", - "stop": "24:56.56", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "24:57.00", - "stop": "25:05.00", - "speaker": "Tutor", - "dialogue": "You used great math words and you said that the distance was what's going on with distance and time from A to B's." - }, - { - "start": "25:05.16", - "stop": "25:05.72", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "25:06.28", - "stop": "25:06.84", - "speaker": "Tutor", - "dialogue": "What's the it?" - }, - { - "start": "25:07.28", - "stop": "25:07.64", - "speaker": "Tutor", - "dialogue": "Remember?" - }, - { - "start": "25:07.76", - "stop": "25:09.68", - "speaker": "Tutor", - "dialogue": "Challenge yourself to use complete sentences." - }, - { - "start": "25:10.32", - "stop": "25:14.72", - "speaker": "Student", - "dialogue": "The distance is increasing, while the time is also increasing beautiful." - }, - { - "start": "25:15.04", - "stop": "25:22.16", - "speaker": "Tutor", - "dialogue": "Now label A to B, more specifically, how much is the distance increasing, and how much is the time increasing?" - }, - { - "start": "25:30.68", - "stop": "25:34.64", - "speaker": "Student", - "dialogue": "It's increasing by fifty miles and one hour." - }, - { - "start": "25:41.64", - "stop": "25:41.68", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "25:41.96", - "stop": "25:42.00", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "25:42.12", - "stop": "25:43.48", - "speaker": "Tutor", - "dialogue": "Makes sure you label fifty What?" - }, - { - "start": "25:44.12", - "stop": "25:46.68", - "speaker": "Tutor", - "dialogue": "and always not just labeling, but always thinking about." - }, - { - "start": "25:46.76", - "stop": "25:47.76", - "speaker": "Tutor", - "dialogue": "What Do my numbers mean?" - }, - { - "start": "25:48.04", - "stop": "25:49.12", - "speaker": "Tutor", - "dialogue": "What are they keeping track?" - }, - { - "start": "25:49.20", - "stop": "25:49.24", - "speaker": "Student", - "dialogue": "Of." - }, - { - "start": "26:08.76", - "stop": "26:13.48", - "speaker": "Tutor", - "dialogue": "And if the car has traveled fifty miles in one hour?" - }, - { - "start": "26:14.88", - "stop": "26:14.92", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "26:15.08", - "stop": "26:17.96", - "speaker": "Tutor", - "dialogue": "We have enough information to figure out how fast the car is going." - }, - { - "start": "26:20.32", - "stop": "26:20.48", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "26:22.20", - "stop": "26:24.64", - "speaker": "Tutor", - "dialogue": "Say more, what is it or how can we figure it out?" - }, - { - "start": "26:26.44", - "stop": "26:33.32", - "speaker": "Student", - "dialogue": "Um, because we already have like the distance and the time, so if we use map, we can like figure it out." - }, - { - "start": "26:33.92", - "stop": "26:35.28", - "speaker": "Tutor", - "dialogue": "What would we be figuring out?" - }, - { - "start": "26:37.56", - "stop": "26:39.64", - "speaker": "Student", - "dialogue": "How fast it's going, Per." - }, - { - "start": "26:40.44", - "stop": "26:42.08", - "speaker": "Tutor", - "dialogue": "Hour, Yeah, What unit?" - }, - { - "start": "26:42.44", - "stop": "26:44.04", - "speaker": "Tutor", - "dialogue": "So what would we be measuring then?" - }, - { - "start": "26:44.28", - "stop": "26:45.60", - "speaker": "Tutor", - "dialogue": "and what unit would we use?" - }, - { - "start": "26:52.04", - "stop": "26:52.52", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "26:55.56", - "stop": "27:04.20", - "speaker": "Tutor", - "dialogue": "More specifically, if I asked you how fast does that cargo or how fast does an airplane travel, or how fast does a rocket?" - }, - { - "start": "27:06.64", - "stop": "27:07.96", - "speaker": "Student", - "dialogue": "Oh miles and hours." - }, - { - "start": "27:08.32", - "stop": "27:10.12", - "speaker": "Tutor", - "dialogue": "Ah, and do we know the miles?" - }, - { - "start": "27:11.48", - "stop": "27:14.72", - "speaker": "Tutor", - "dialogue": "Do we know the hours y so speed?" - }, - { - "start": "27:17.96", - "stop": "27:18.00", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "27:18.20", - "stop": "27:21.80", - "speaker": "Tutor", - "dialogue": "Measured as the relationship between miles." - }, - { - "start": "27:23.40", - "stop": "27:23.60", - "speaker": "Student", - "dialogue": "Per." - }, - { - "start": "27:25.04", - "stop": "27:26.20", - "speaker": "Tutor", - "dialogue": "That's what this means, Per." - }, - { - "start": "27:27.64", - "stop": "27:27.84", - "speaker": "Student", - "dialogue": "One." - }, - { - "start": "27:28.00", - "stop": "27:28.24", - "speaker": "Tutor", - "dialogue": "Hour." - }, - { - "start": "27:32.44", - "stop": "27:32.48", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "27:32.76", - "stop": "27:37.48", - "speaker": "Tutor", - "dialogue": "We have enough information from A to B to figure out the speed of the car." - }, - { - "start": "27:39.08", - "stop": "27:39.24", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "27:39.84", - "stop": "27:42.12", - "speaker": "Tutor", - "dialogue": "How fast is the car going from A to B?" - }, - { - "start": "27:43.32", - "stop": "27:44.80", - "speaker": "Student", - "dialogue": "Fifty miles per hour." - }, - { - "start": "27:45.16", - "stop": "27:46.88", - "speaker": "Tutor", - "dialogue": "Fifty miles per hour." - }, - { - "start": "27:49.76", - "stop": "27:49.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "27:49.96", - "stop": "27:53.64", - "speaker": "Tutor", - "dialogue": "We can lavel like M, P. H." - }, - { - "start": "27:55.76", - "stop": "27:55.80", - "speaker": "Student", - "dialogue": "K." - }, - { - "start": "27:56.28", - "stop": "28:00.36", - "speaker": "Tutor", - "dialogue": "Do we have enough information to figure out how fast the car is going from B to C?" - }, - { - "start": "28:01.76", - "stop": "28:01.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "28:03.36", - "stop": "28:05.28", - "speaker": "Tutor", - "dialogue": "How fast is the car going from B to C?" - }, - { - "start": "28:07.56", - "stop": "28:10.96", - "speaker": "Student", - "dialogue": "Fifty miles per one and thirty minutes." - }, - { - "start": "28:11.40", - "stop": "28:12.00", - "speaker": "Tutor", - "dialogue": "How do you know" - }, - { - "start": "28:12.28", - "stop": "28:14.56", - "speaker": "Tutor", - "dialogue": "It's fifty miles and the one and thirty?" - }, - { - "start": "28:14.60", - "stop": "28:15.88", - "speaker": "Tutor", - "dialogue": "Where did you get those numbers from?" - }, - { - "start": "28:17.64", - "stop": "28:18.88", - "speaker": "Student", - "dialogue": "Um, in the grap." - }, - { - "start": "28:20.60", - "stop": "28:20.88", - "speaker": "Student", - "dialogue": "Okay?" - }, - { - "start": "28:21.44", - "stop": "28:27.40", - "speaker": "Tutor", - "dialogue": "So from B to C, the purple power words, what's happening from B to C?" - }, - { - "start": "28:29.12", - "stop": "28:35.72", - "speaker": "Student", - "dialogue": "The distance is staying the same, but the the time is like increasing by thirty minutes." - }, - { - "start": "28:36.00", - "stop": "28:40.28", - "speaker": "Tutor", - "dialogue": "Okay, so label that on your map from B to C. How many miles?" - }, - { - "start": "28:44.00", - "stop": "28:44.12", - "speaker": "Student", - "dialogue": "Has?" - }, - { - "start": "28:44.36", - "stop": "28:46.00", - "speaker": "Tutor", - "dialogue": "Changed and how much time has?" - }, - { - "start": "28:46.16", - "stop": "28:46.44", - "speaker": "Student", - "dialogue": "Changed." - }, - { - "start": "28:50.44", - "stop": "28:53.52", - "speaker": "Tutor", - "dialogue": "You told me be to see the miles." - }, - { - "start": "28:53.88", - "stop": "28:55.40", - "speaker": "Tutor", - "dialogue": "The distance stayed the same." - }, - { - "start": "28:58.92", - "stop": "28:58.96", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "28:59.12", - "stop": "29:01.12", - "speaker": "Tutor", - "dialogue": "You're labeling on your map right now." - }, - { - "start": "29:01.56", - "stop": "29:03.00", - "speaker": "Tutor", - "dialogue": "Is that the miles changed?" - }, - { - "start": "29:07.76", - "stop": "29:08.76", - "speaker": "Student", - "dialogue": "It's fiftey mile." - }, - { - "start": "29:10.48", - "stop": "29:16.04", - "speaker": "Tutor", - "dialogue": "From B to C, how many miles has the car inascrea?" - }, - { - "start": "29:22.20", - "stop": "29:22.92", - "speaker": "Student", - "dialogue": "It stayed the." - }, - { - "start": "29:23.00", - "stop": "29:24.32", - "speaker": "Tutor", - "dialogue": "Same if it stayed the same." - }, - { - "start": "29:24.56", - "stop": "29:35.08", - "speaker": "Tutor", - "dialogue": "How many miles did the car travelayed?" - }, - { - "start": "29:35.12", - "stop": "29:35.24", - "speaker": "Student", - "dialogue": "At." - }, - { - "start": "29:35.28", - "stop": "29:37.96", - "speaker": "Tutor", - "dialogue": "Milemarker fifty, but it didn't move." - }, - { - "start": "29:39.56", - "stop": "29:44.52", - "speaker": "Student", - "dialogue": "Oh, um, one hour and thirty minutes." - }, - { - "start": "29:45.64", - "stop": "29:47.40", - "speaker": "Tutor", - "dialogue": "Um, that would be if we're thinking about time." - }, - { - "start": "29:47.76", - "stop": "29:56.04", - "speaker": "Tutor", - "dialogue": "but if we're just thinking about Okay, The car right here was at B, and you told me point B and C were the same on the map." - }, - { - "start": "29:58.40", - "stop": "29:58.44", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "29:58.88", - "stop": "30:00.16", - "speaker": "Tutor", - "dialogue": "Why are they the same on the map?" - }, - { - "start": "30:01.68", - "stop": "30:04.16", - "speaker": "Student", - "dialogue": "Because the distance is staying the same." - }, - { - "start": "30:04.32", - "stop": "30:09.44", - "speaker": "Tutor", - "dialogue": "And if the distance is staying the same, then they have traveled zero miles from B to C." - }, - { - "start": "30:10.64", - "stop": "30:10.88", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "30:11.36", - "stop": "30:15.68", - "speaker": "Tutor", - "dialogue": "Yeah, the car is just sitting there for the total trip." - }, - { - "start": "30:15.92", - "stop": "30:18.60", - "speaker": "Tutor", - "dialogue": "It has still traveled that fifty miles total." - }, - { - "start": "30:19.88", - "stop": "30:25.08", - "speaker": "Tutor", - "dialogue": "but just from the section of B to c, the distance hasn't changed at all." - }, - { - "start": "30:27.28", - "stop": "30:27.44", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "30:27.52", - "stop": "30:28.08", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "30:30.40", - "stop": "30:30.44", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "30:30.60", - "stop": "30:35.36", - "speaker": "Tutor", - "dialogue": "If the distance hasn't changed, then that means it has the cars traveled zero miles." - }, - { - "start": "30:37.76", - "stop": "30:37.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "30:38.04", - "stop": "30:43.44", - "speaker": "Tutor", - "dialogue": "How much time increased or decreased or stayed the same from B to C?" - }, - { - "start": "30:45.36", - "stop": "30:46.04", - "speaker": "Student", - "dialogue": "Thirty minutes." - }, - { - "start": "30:46.44", - "stop": "30:49.96", - "speaker": "Tutor", - "dialogue": "A so zero miles in thirty minutes." - }, - { - "start": "30:52.04", - "stop": "30:52.20", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "30:52.32", - "stop": "30:54.76", - "speaker": "Tutor", - "dialogue": "Still going to be zero miles per hour." - }, - { - "start": "30:56.60", - "stop": "30:56.76", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "30:57.72", - "stop": "31:01.48", - "speaker": "Tutor", - "dialogue": "The speed from B to C is zero because the car is just sitting still." - }, - { - "start": "31:03.40", - "stop": "31:03.56", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "31:03.72", - "stop": "31:05.52", - "speaker": "Tutor", - "dialogue": "C to D. what would the speed be?" - }, - { - "start": "31:14.76", - "stop": "31:14.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "31:14.92", - "stop": "31:19.20", - "speaker": "Tutor", - "dialogue": "You can label whatever you need or write down whatever you need to to figure things out." - }, - { - "start": "32:27.44", - "stop": "32:33.08", - "speaker": "Student", - "dialogue": "Um, I think it's fifty miles like and one hour and thirty minutes." - }, - { - "start": "32:33.36", - "stop": "32:36.36", - "speaker": "Tutor", - "dialogue": "Cool, show me how you figured out the fifty miles." - }, - { - "start": "32:38.24", - "stop": "32:44.80", - "speaker": "Student", - "dialogue": "From C to d, D is like a hundred, and C is fifty, So like you subtract them." - }, - { - "start": "32:45.16", - "stop": "32:49.36", - "speaker": "Tutor", - "dialogue": "Okay, so the change from C to D is an increase of fifty." - }, - { - "start": "32:50.36", - "stop": "32:50.52", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "32:51.88", - "stop": "32:56.92", - "speaker": "Tutor", - "dialogue": "On the distance axis, Yeah, okay, and time is also increasing." - }, - { - "start": "32:57.52", - "stop": "33:00.36", - "speaker": "Tutor", - "dialogue": "Show me how you got a hu, uh, one hour and thirty minutes." - }, - { - "start": "33:01.52", - "stop": "33:15.64", - "speaker": "Student", - "dialogue": "Um, C is only thirty minutes and D is a total of two hours and thirty minutes, so like if you subtract them, you get an hour and thirty minutes." - }, - { - "start": "33:16.68", - "stop": "33:21.00", - "speaker": "Tutor", - "dialogue": "So D use right here, Mhm, D U is right here." - }, - { - "start": "33:21.72", - "stop": "33:23.60", - "speaker": "Tutor", - "dialogue": "Yeah, what is this point?" - }, - { - "start": "33:25.84", - "stop": "33:26.64", - "speaker": "Student", - "dialogue": "One point five." - }, - { - "start": "33:27.16", - "stop": "33:31.36", - "speaker": "Tutor", - "dialogue": "Okay, so from an hour and a half to two and a half?" - }, - { - "start": "33:33.20", - "stop": "33:33.32", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "33:33.44", - "stop": "33:37.36", - "speaker": "Tutor", - "dialogue": "Much time has increased from an hour and a half to two and a half hours." - }, - { - "start": "34:00.20", - "stop": "34:01.80", - "speaker": "Student", - "dialogue": "Oh, um, it's one hour." - }, - { - "start": "34:04.08", - "stop": "34:05.12", - "speaker": "Tutor", - "dialogue": "How do you know it's an hour?" - }, - { - "start": "34:07.24", - "stop": "34:10.52", - "speaker": "Student", - "dialogue": "Um, two point five minus one point five is one." - }, - { - "start": "34:11.44", - "stop": "34:20.76", - "speaker": "Tutor", - "dialogue": "You can also, so you're doing like the distance or like the change in slope, Um, x two minus x, One sort of thinking right" - }, - { - "start": "34:20.84", - "stop": "34:25.08", - "speaker": "Tutor", - "dialogue": "now, you can also count up, so right here you were at fifty." - }, - { - "start": "34:25.92", - "stop": "34:30.04", - "speaker": "Tutor", - "dialogue": "from fifty To what hundred is sixty seventy eight?" - }, - { - "start": "34:30.20", - "stop": "34:30.28", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "34:30.36", - "stop": "34:31.24", - "speaker": "Tutor", - "dialogue": "You can count up to that." - }, - { - "start": "34:31.72", - "stop": "34:32.84", - "speaker": "Tutor", - "dialogue": "You can do it here, too." - }, - { - "start": "34:33.36", - "stop": "34:34.44", - "speaker": "Tutor", - "dialogue": "thirty minutes in an hour." - }, - { - "start": "34:35.72", - "stop": "34:38.32", - "speaker": "Tutor", - "dialogue": "One way isn't better than the other, Just other ways to think about it." - }, - { - "start": "34:39.48", - "stop": "34:43.76", - "speaker": "Tutor", - "dialogue": "Okay, so it went fifty miles in one hour." - }, - { - "start": "34:47.00", - "stop": "34:47.04", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "34:47.20", - "stop": "34:49.56", - "speaker": "Tutor", - "dialogue": "We have enough information to know the speed of the car then." - }, - { - "start": "34:50.64", - "stop": "34:50.80", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "34:54.68", - "stop": "34:55.72", - "speaker": "Tutor", - "dialogue": "What would the speed be?" - }, - { - "start": "34:59.12", - "stop": "35:00.88", - "speaker": "Student", - "dialogue": "Fifty miles per hour." - }, - { - "start": "35:05.20", - "stop": "35:15.76", - "speaker": "Tutor", - "dialogue": "So let's look up here for a second at this textbox that we werote at the top from B to C. You see where in Poyton, Yeah, okay, so earlier you said." - }, - { - "start": "35:17.36", - "stop": "35:17.56", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "35:17.72", - "stop": "35:21.20", - "speaker": "Tutor", - "dialogue": "Actually, let's do it with from C to D. so from C to D." - }, - { - "start": "35:22.64", - "stop": "35:23.28", - "speaker": "Student", - "dialogue": "Describe." - }, - { - "start": "35:23.96", - "stop": "35:31.04", - "speaker": "Tutor", - "dialogue": "What is happening with distance, time and speed, using the purple powerwords." - }, - { - "start": "35:32.72", - "stop": "35:41.56", - "speaker": "Student", - "dialogue": "From C to D, the distance is increasing by fifty miles and the time is increasing by one hour." - }, - { - "start": "35:44.40", - "stop": "35:44.68", - "speaker": "Tutor", - "dialogue": "Speed." - }, - { - "start": "35:47.40", - "stop": "35:53.28", - "speaker": "Student", - "dialogue": "Uh, so it's fifteen miles per hour?" - }, - { - "start": "35:54.08", - "stop": "35:57.32", - "speaker": "Tutor", - "dialogue": "Is the speed increasing, decreasing or staying the same?" - }, - { - "start": "36:00.00", - "stop": "36:01.28", - "speaker": "Student", - "dialogue": "It's increasing." - }, - { - "start": "36:02.96", - "stop": "36:11.04", - "speaker": "Tutor", - "dialogue": "So from C to D, for part of the trip, the car is going fifty miles an hour, and for part of the trip it's going faster than that." - }, - { - "start": "36:13.84", - "stop": "36:14.28", - "speaker": "Student", - "dialogue": "Oh, its." - }, - { - "start": "36:16.32", - "stop": "36:16.68", - "speaker": "Tutor", - "dialogue": "I don't know." - }, - { - "start": "36:16.80", - "stop": "36:17.20", - "speaker": "Tutor", - "dialogue": "You tell me." - }, - { - "start": "36:17.44", - "stop": "36:19.08", - "speaker": "Tutor", - "dialogue": "is it increasing or staying the same?" - }, - { - "start": "36:21.84", - "stop": "36:22.56", - "speaker": "Student", - "dialogue": "Staying the same." - }, - { - "start": "36:23.92", - "stop": "36:25.96", - "speaker": "Tutor", - "dialogue": "Are you convinced or are you still questioning?" - }, - { - "start": "36:27.96", - "stop": "36:28.44", - "speaker": "Student", - "dialogue": "Questioning." - }, - { - "start": "36:28.88", - "stop": "36:30.44", - "speaker": "Tutor", - "dialogue": "I could tell by the tone of your voice." - }, - { - "start": "36:31.32", - "stop": "36:40.20", - "speaker": "Tutor", - "dialogue": "Okay, so from C to d. the distance is increasing by fifty miles, As the time is increasing by one hour, and the speed is." - }, - { - "start": "36:40.76", - "stop": "36:42.44", - "speaker": "Tutor", - "dialogue": "I'll give you some time to think about that." - }, - { - "start": "36:44.16", - "stop": "36:45.80", - "speaker": "Student", - "dialogue": "Is it increasing decreasing?" - }, - { - "start": "36:46.04", - "stop": "36:46.48", - "speaker": "Tutor", - "dialogue": "Or staying." - }, - { - "start": "36:46.60", - "stop": "36:46.96", - "speaker": "Student", - "dialogue": "The same." - }, - { - "start": "36:47.72", - "stop": "36:48.52", - "speaker": "Tutor", - "dialogue": "From C to D." - }, - { - "start": "36:52.20", - "stop": "36:53.68", - "speaker": "Student", - "dialogue": "I think it should be increasing." - }, - { - "start": "36:55.56", - "stop": "36:56.88", - "speaker": "Tutor", - "dialogue": "So is the speed?" - }, - { - "start": "36:58.40", - "stop": "37:00.76", - "speaker": "Tutor", - "dialogue": "What is the speed at the beginning of Cd" - }, - { - "start": "37:00.88", - "stop": "37:02.80", - "speaker": "Tutor", - "dialogue": "D? What is it at the end of Cd D?" - }, - { - "start": "37:03.56", - "stop": "37:03.60", - "speaker": "Tutor", - "dialogue": "Or" - }, - { - "start": "37:03.72", - "stop": "37:06.96", - "speaker": "Tutor", - "dialogue": "does it stay fifty miles per hour that entire section of the trip?" - }, - { - "start": "37:08.48", - "stop": "37:09.88", - "speaker": "Student", - "dialogue": "Oh, it stays the same." - }, - { - "start": "37:10.36", - "stop": "37:10.48", - "speaker": "Student", - "dialogue": "how?" - }, - { - "start": "37:10.52", - "stop": "37:10.88", - "speaker": "Tutor", - "dialogue": "Do you know?" - }, - { - "start": "37:12.64", - "stop": "37:16.60", - "speaker": "Student", - "dialogue": "Because the Miles pro hour is always going to stay the same." - }, - { - "start": "37:17.32", - "stop": "37:21.88", - "speaker": "Tutor", - "dialogue": "How do you know from C to D that miles per hour stays the same by looking at the graph?" - }, - { - "start": "37:24.44", - "stop": "37:26.20", - "speaker": "Student", - "dialogue": "Oh, because it's a straight line." - }, - { - "start": "37:26.44", - "stop": "37:32.80", - "speaker": "Tutor", - "dialogue": "Correct, yeah, so that means it has a constant rate, and that means that entire section." - }, - { - "start": "37:33.60", - "stop": "37:37.20", - "speaker": "Tutor", - "dialogue": "it's travelling at that same rate, or same speed." - }, - { - "start": "37:38.04", - "stop": "37:42.44", - "speaker": "Tutor", - "dialogue": "From D to E. is the car travelling at the same speed?" - }, - { - "start": "37:43.60", - "stop": "37:43.72", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "37:44.12", - "stop": "37:53.16", - "speaker": "Tutor", - "dialogue": "And we know that, because it's a squiggly line instead of a straight line, so C to D is a constant rate, D to E is not a constant rate." - }, - { - "start": "37:54.68", - "stop": "37:54.84", - "speaker": "Student", - "dialogue": "When?" - }, - { - "start": "37:54.88", - "stop": "37:55.84", - "speaker": "Tutor", - "dialogue": "We look at these graphs." - }, - { - "start": "37:55.88", - "stop": "37:58.68", - "speaker": "Tutor", - "dialogue": "We also sometimes describe that in terms of slope." - }, - { - "start": "38:00.20", - "stop": "38:00.24", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "38:00.44", - "stop": "38:04.32", - "speaker": "Tutor", - "dialogue": "The slope we could find from C to D. it would be fifty." - }, - { - "start": "38:05.80", - "stop": "38:05.84", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "38:06.08", - "stop": "38:10.64", - "speaker": "Tutor", - "dialogue": "We can't find the slope from D to E because it isn't a constant relationship." - }, - { - "start": "38:12.60", - "stop": "38:12.72", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "38:12.80", - "stop": "38:21.28", - "speaker": "Tutor", - "dialogue": "That make sense, so from C to D, the distance is increasing by fifty miles, as the time is increasing by one hour, and the speed is." - }, - { - "start": "38:24.48", - "stop": "38:24.64", - "speaker": "Student", - "dialogue": "At." - }, - { - "start": "38:24.80", - "stop": "38:25.68", - "speaker": "Tutor", - "dialogue": "A rate of." - }, - { - "start": "38:27.24", - "stop": "38:29.08", - "speaker": "Student", - "dialogue": "Fifteen miles per hour, W." - }, - { - "start": "38:29.92", - "stop": "38:35.44", - "speaker": "Tutor", - "dialogue": "That's like patting your head, rubbing your belly and jumping on a foot all at the same time." - }, - { - "start": "38:36.04", - "stop": "38:38.08", - "speaker": "Tutor", - "dialogue": "It's a lot of things to keep track of, isn't it?" - }, - { - "start": "38:38.72", - "stop": "38:39.36", - "speaker": "Student", - "dialogue": "Yeah, yeah." - }, - { - "start": "38:40.56", - "stop": "38:51.36", - "speaker": "Tutor", - "dialogue": "So we're going to stop at that point right now, because you've done a lot of really deep thinking and I want to kind of reflect on some of the things that you feel like you've learned right now." - }, - { - "start": "38:53.40", - "stop": "38:53.44", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "38:56.36", - "stop": "38:56.40", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "38:56.68", - "stop": "38:56.72", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "38:56.88", - "stop": "39:00.32", - "speaker": "Tutor", - "dialogue": "Something that you think that you've learned or think differently about now." - }, - { - "start": "39:02.20", - "stop": "39:15.92", - "speaker": "Student", - "dialogue": "Um, I think I learn like how to really like, look at a graph and explain it like using words to describe, like the distance and the time and the speed." - }, - { - "start": "39:16.64", - "stop": "39:40.92", - "speaker": "Tutor", - "dialogue": "Yeah, and even if it's a graph that doesn't have distance and time, right, if it's a graph that has hours worked per week and money earned or any variable, the one axis is describing how one thing is changing, the other axis is describing how another thing is changing what's the center of the graph doing." - }, - { - "start": "39:42.44", - "stop": "39:47.40", - "speaker": "Student", - "dialogue": "It's the, The, the constant." - }, - { - "start": "39:48.40", - "stop": "39:59.88", - "speaker": "Tutor", - "dialogue": "Well, if it's a, a linear or a line, then it's constant, but we'll see all sorts of graphs, and they may not be constant regardless of what that picture looks like." - }, - { - "start": "40:00.00", - "stop": "40:08.16", - "speaker": "Tutor", - "dialogue": "In the middle, it's describing the relationship between this thing that's changing and this thing that's changing." - }, - { - "start": "40:10.04", - "stop": "40:10.08", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "40:10.40", - "stop": "40:13.60", - "speaker": "Tutor", - "dialogue": "In this particular graph it happens to be describing the speed." - }, - { - "start": "40:14.36", - "stop": "40:18.72", - "speaker": "Tutor", - "dialogue": "constant speed stays the same constant speed." - }, - { - "start": "40:21.12", - "stop": "40:21.16", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "40:21.28", - "stop": "40:28.04", - "speaker": "Tutor", - "dialogue": "Variable speed, constant speed, because speed is the relationship of miles to ours." - }, - { - "start": "40:30.00", - "stop": "40:30.04", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "40:30.24", - "stop": "40:34.04", - "speaker": "Tutor", - "dialogue": "In any graph, you did a great job of explaining that graphs." - }, - { - "start": "40:34.52", - "stop": "40:39.00", - "speaker": "Tutor", - "dialogue": "The way they work is to describe how things are changing in relation to each other." - }, - { - "start": "40:40.36", - "stop": "40:40.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "40:40.68", - "stop": "40:51.68", - "speaker": "Tutor", - "dialogue": "Any time you see a graph, whether it's distance time, speed money, anything, challenge yourself to use or think with these purple power words, What's increasing?" - }, - { - "start": "40:52.12", - "stop": "40:57.36", - "speaker": "Tutor", - "dialogue": "what's decreasing, What's staying the same, and what's the relationship between them." - }, - { - "start": "40:59.28", - "stop": "40:59.32", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "40:59.44", - "stop": "40:59.92", - "speaker": "Tutor", - "dialogue": "Makes sense." - }, - { - "start": "41:01.36", - "stop": "41:01.68", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "41:02.24", - "stop": "41:07.52", - "speaker": "Tutor", - "dialogue": "And then also you're helping us learn about what was learning like for you in this sort of setting." - }, - { - "start": "41:08.52", - "stop": "41:10.16", - "speaker": "Tutor", - "dialogue": "So what was helpful?" - }, - { - "start": "41:10.72", - "stop": "41:15.40", - "speaker": "Tutor", - "dialogue": "What wasn't helpful or what are some things we should keep doing or change?" - }, - { - "start": "41:16.96", - "stop": "41:24.20", - "speaker": "Student", - "dialogue": "Ah, I really liked the idea of theus of this, but there wasn't really anything bad except like maybe" - }, - { - "start": "41:24.28", - "stop": "41:29.16", - "speaker": "Student", - "dialogue": "the drawing on the a computer was a little hard, but that's probably." - }, - { - "start": "41:31.36", - "stop": "41:36.68", - "speaker": "Tutor", - "dialogue": "Yeah, it would be nice if we could hold a pen and write on a pad or something, right, yeah?" - }, - { - "start": "41:38.48", - "stop": "41:38.52", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "41:38.76", - "stop": "41:41.04", - "speaker": "Tutor", - "dialogue": "Definitely agree with that cool." - }, - { - "start": "41:41.28", - "stop": "41:43.00", - "speaker": "Tutor", - "dialogue": "Anything else that would be helpful for us to know?" - }, - { - "start": "41:44.96", - "stop": "41:51.76", - "speaker": "Student", - "dialogue": "Um, I really like the way you guys teach and like explain these diagrams and the graphs." - }, - { - "start": "41:53.08", - "stop": "41:54.04", - "speaker": "Tutor", - "dialogue": "But say more about that." - }, - { - "start": "41:54.12", - "stop": "41:54.60", - "speaker": "Tutor", - "dialogue": "What do you mean?" - }, - { - "start": "41:56.32", - "stop": "41:57.84", - "speaker": "Student", - "dialogue": "Um, like I learn more on" - }, - { - "start": "41:58.00", - "stop": "41:58.60", - "speaker": "Student", - "dialogue": "Like how to like." - }, - { - "start": "41:59.44", - "stop": "41:59.68", - "speaker": "Student", - "dialogue": "Really?" - }, - { - "start": "41:59.84", - "stop": "42:00.36", - "speaker": "Student", - "dialogue": "Like, Tell" - }, - { - "start": "42:00.48", - "stop": "42:04.80", - "speaker": "Student", - "dialogue": "what the graph is showing, and like to learn more about the relationship." - }, - { - "start": "42:05.88", - "stop": "42:22.00", - "speaker": "Tutor", - "dialogue": "So you're making sense of the picture and the relationship and again in your math classes and in your life, always ask yourself what's the relationship and what's the picture, and that will' help you make sense of any sort of mathematical situation." - }, - { - "start": "42:23.60", - "stop": "42:23.92", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "42:24.64", - "stop": "42:25.72", - "speaker": "Tutor", - "dialogue": "Yup, all right." - }, - { - "start": "42:25.92", - "stop": "42:32.32", - "speaker": "Tutor", - "dialogue": "well, thank you so much for joining to-day and for helping us learn more, And you are a very powerful mathematical thinker." - }, - { - "start": "42:32.92", - "stop": "42:34.48", - "speaker": "Tutor", - "dialogue": "Continue doing more of that, Ok?" - }, - { - "start": "42:35.32", - "stop": "42:35.60", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "42:36.00", - "stop": "42:36.60", - "speaker": "Tutor", - "dialogue": "You're welcome." - }, - { - "start": "42:36.64", - "stop": "42:37.36", - "speaker": "Tutor", - "dialogue": "You have a great day." - } -] \ No newline at end of file diff --git a/data/amber/7122022VC.json b/data/amber/7122022VC.json deleted file mode 100644 index dab359b..0000000 --- a/data/amber/7122022VC.json +++ /dev/null @@ -1,3302 +0,0 @@ -[ - { - "start": "00:00.44", - "stop": "00:02.68", - "speaker": "Tutor", - "dialogue": "Oky, then I'm going to change the screen." - }, - { - "start": "00:03.96", - "stop": "00:04.20", - "speaker": "Student", - "dialogue": "Take." - }, - { - "start": "00:04.24", - "stop": "00:11.20", - "speaker": "Tutor", - "dialogue": "A second to look at this, think about it and describe to me what you think is happening in this situation." - }, - { - "start": "00:12.00", - "stop": "00:36.48", - "speaker": "Student", - "dialogue": "Ok, justce yeah, Um, so I think the line that's connecting the Providence to New York is Um, the distance?" - }, - { - "start": "00:42.16", - "stop": "00:45.68", - "speaker": "Tutor", - "dialogue": "That line, Yes, do you know what I ninety five means on the on that map?" - }, - { - "start": "00:47.12", - "stop": "00:47.28", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "00:48.04", - "stop": "00:49.68", - "speaker": "Tutor", - "dialogue": "It's a highway or a road." - }, - { - "start": "00:50.40", - "stop": "00:51.08", - "speaker": "Student", - "dialogue": "Oh, okay." - }, - { - "start": "00:51.60", - "stop": "00:54.36", - "speaker": "Tutor", - "dialogue": "So they're connecting Um those towns?" - }, - { - "start": "00:56.00", - "stop": "00:56.36", - "speaker": "Student", - "dialogue": "Uhhh." - }, - { - "start": "00:56.48", - "stop": "00:59.88", - "speaker": "Tutor", - "dialogue": "And then there's going to be a car that's going to take a journey." - }, - { - "start": "01:01.12", - "stop": "01:01.28", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "01:02.52", - "stop": "01:05.00", - "speaker": "Tutor", - "dialogue": "You mentioned being able to think about distance." - }, - { - "start": "01:05.88", - "stop": "01:06.04", - "speaker": "Tutor", - "dialogue": "Hm." - }, - { - "start": "01:06.12", - "stop": "01:09.20", - "speaker": "Tutor", - "dialogue": "What are some other things we could measure in this situation?" - }, - { - "start": "01:10.84", - "stop": "01:30.40", - "speaker": "Student", - "dialogue": "M. I think, Um, like the distance from land between New York City and Newark." - }, - { - "start": "01:31.16", - "stop": "01:31.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "01:35.28", - "stop": "01:35.32", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "01:35.64", - "stop": "01:37.32", - "speaker": "Tutor", - "dialogue": "Unit, would we measure distance in?" - }, - { - "start": "01:43.64", - "stop": "01:44.00", - "speaker": "Student", - "dialogue": "Anything?" - }, - { - "start": "01:44.08", - "stop": "01:48.28", - "speaker": "Tutor", - "dialogue": "Else that we could think about measuring in the situation as the car is traveling." - }, - { - "start": "01:58.32", - "stop": "02:48.12", - "speaker": "Student", - "dialogue": "Let me think sure meters." - }, - { - "start": "02:49.36", - "stop": "02:53.00", - "speaker": "Tutor", - "dialogue": "Okay, cool, so we could measure a distance with meters also." - }, - { - "start": "02:54.08", - "stop": "02:54.36", - "speaker": "Student", - "dialogue": "Between." - }, - { - "start": "02:54.40", - "stop": "02:57.04", - "speaker": "Tutor", - "dialogue": "The difference Um stops along the journey." - }, - { - "start": "02:57.64", - "stop": "02:58.40", - "speaker": "Tutor", - "dialogue": "Yeah, cool." - }, - { - "start": "02:58.68", - "stop": "03:01.76", - "speaker": "Tutor", - "dialogue": "okay, I'm going to uncover something else now." - }, - { - "start": "03:02.36", - "stop": "03:02.64", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "03:03.00", - "stop": "03:06.88", - "speaker": "Tutor", - "dialogue": "And I want you to think about how it was similar or different to what you were just thinking." - }, - { - "start": "03:18.64", - "stop": "03:20.68", - "speaker": "Student", - "dialogue": "A line graph, or like a chart?" - }, - { - "start": "03:21.48", - "stop": "03:23.96", - "speaker": "Tutor", - "dialogue": "Okay, so now we have a line graph or a chart?" - }, - { - "start": "03:24.36", - "stop": "03:26.88", - "speaker": "Tutor", - "dialogue": "How is this similar or different to the map?" - }, - { - "start": "03:28.12", - "stop": "03:39.44", - "speaker": "Student", - "dialogue": "Well, the map shows New York City, and like a whole image of it, while the graph shows graphing, and like time and distance." - }, - { - "start": "03:41.20", - "stop": "03:43.12", - "speaker": "Tutor", - "dialogue": "Okay, are these related at all?" - }, - { - "start": "03:43.36", - "stop": "03:44.96", - "speaker": "Tutor", - "dialogue": "Is the map and the graph related at all?" - }, - { - "start": "03:45.04", - "stop": "03:47.04", - "speaker": "Tutor", - "dialogue": "or do you think they're completely different situations?" - }, - { - "start": "03:52.96", - "stop": "04:17.36", - "speaker": "Student", - "dialogue": "I think they're may be related, because if you're talking about um, a distance on the picture and you refer that back to the graph, I think it would make sense depending on what Um, what you're given in the image, okay?" - }, - { - "start": "04:17.84", - "stop": "04:28.36", - "speaker": "Tutor", - "dialogue": "So, if 'cause you talked about, we could measure the distance cars traveling, show me with your cursor with your arrow on the map." - }, - { - "start": "04:28.56", - "stop": "04:30.08", - "speaker": "Tutor", - "dialogue": "How does the car travel on the map?" - }, - { - "start": "04:32.80", - "stop": "04:32.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "04:32.96", - "stop": "04:44.60", - "speaker": "Tutor", - "dialogue": "It starts in Providence, and then Yup goes along the road or the highway or the interstate through New York City, down the New Jersey turnbike, and ends in Newark." - }, - { - "start": "04:45.52", - "stop": "04:46.36", - "speaker": "Student", - "dialogue": "Hm, what?" - }, - { - "start": "04:46.64", - "stop": "04:47.52", - "speaker": "Tutor", - "dialogue": "Is the grapht show?" - }, - { - "start": "04:51.24", - "stop": "04:58.52", - "speaker": "Student", - "dialogue": "Starts from point A and it works its way up to fifty miles per hour." - }, - { - "start": "05:00.56", - "stop": "05:11.08", - "speaker": "Student", - "dialogue": "Then I think it stays the distance and then it rises again and then there's just kind of" - }, - { - "start": "05:11.20", - "stop": "05:19.24", - "speaker": "Student", - "dialogue": "like line of like uncertainty, I think till it reaches F." - }, - { - "start": "05:20.32", - "stop": "05:22.20", - "speaker": "Tutor", - "dialogue": "And what is it you said?" - }, - { - "start": "05:23.12", - "stop": "05:27.92", - "speaker": "Tutor", - "dialogue": "It stays the same, or until it reaches F. What is it?" - }, - { - "start": "05:30.48", - "stop": "05:32.16", - "speaker": "Student", - "dialogue": "The car moving Ok?" - }, - { - "start": "05:32.72", - "stop": "05:35.76", - "speaker": "Tutor", - "dialogue": "So this graph is also showing how the car can move." - }, - { - "start": "05:37.36", - "stop": "05:37.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "05:37.84", - "stop": "05:42.44", - "speaker": "Tutor", - "dialogue": "I am going to put my cursor on the map now and pretend like I'm the car." - }, - { - "start": "05:43.52", - "stop": "05:43.76", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "05:44.12", - "stop": "05:52.52", - "speaker": "Tutor", - "dialogue": "And you put your cursor on the graph to show where the car would be on the graph, For where I am on the map." - }, - { - "start": "05:52.72", - "stop": "05:53.20", - "speaker": "Tutor", - "dialogue": "Does that make?" - }, - { - "start": "05:53.24", - "stop": "05:53.48", - "speaker": "Student", - "dialogue": "Sense." - }, - { - "start": "05:54.04", - "stop": "05:55.44", - "speaker": "Tutor", - "dialogue": "Course, so you're there?" - }, - { - "start": "05:56.00", - "stop": "05:56.76", - "speaker": "Tutor", - "dialogue": "What if I'm here?" - }, - { - "start": "05:59.96", - "stop": "06:00.00", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "06:00.16", - "stop": "06:04.48", - "speaker": "Tutor", - "dialogue": "If I am here, where do you think that would be, and why?" - }, - { - "start": "06:05.08", - "stop": "06:05.60", - "speaker": "Student", - "dialogue": "Like here?" - }, - { - "start": "06:06.44", - "stop": "06:06.92", - "speaker": "Tutor", - "dialogue": "How come?" - }, - { - "start": "06:10.80", - "stop": "06:13.60", - "speaker": "Student", - "dialogue": "Well, um, I'm looking at the squig lines." - }, - { - "start": "06:13.84", - "stop": "06:15.24", - "speaker": "Student", - "dialogue": "Do you see the swuiggley lines here?" - }, - { - "start": "06:15.40", - "stop": "06:15.88", - "speaker": "Student", - "dialogue": "yu, yup." - }, - { - "start": "06:16.52", - "stop": "06:21.96", - "speaker": "Student", - "dialogue": "um, it kind of matches up with over here a little bit, but since this is on the grab, it's a little bit different." - }, - { - "start": "06:23.68", - "stop": "06:29.84", - "speaker": "Tutor", - "dialogue": "So the squiggly L line represents the squiggly line of New York City." - }, - { - "start": "06:30.44", - "stop": "06:31.32", - "speaker": "Student", - "dialogue": "Yeah, that's what I." - }, - { - "start": "06:31.52", - "stop": "06:32.44", - "speaker": "Tutor", - "dialogue": "Think that's what you think." - }, - { - "start": "06:33.12", - "stop": "06:33.28", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "06:35.52", - "stop": "06:39.20", - "speaker": "Tutor", - "dialogue": "Okay, so now let's let's start graphing or Ma." - }, - { - "start": "06:39.44", - "stop": "06:40.96", - "speaker": "Tutor", - "dialogue": "I'm sorry, Lalu." - }, - { - "start": "06:42.40", - "stop": "06:43.92", - "speaker": "Tutor", - "dialogue": "let's start labeling." - }, - { - "start": "06:45.64", - "stop": "06:45.68", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "06:45.88", - "stop": "06:51.88", - "speaker": "Tutor", - "dialogue": "Relationship between the map and the graph, where would point A be located?" - }, - { - "start": "06:53.92", - "stop": "06:53.96", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "06:54.12", - "stop": "06:54.16", - "speaker": "Tutor", - "dialogue": "So" - }, - { - "start": "06:54.40", - "stop": "06:54.44", - "speaker": "Tutor", - "dialogue": "on?" - }, - { - "start": "06:56.60", - "stop": "06:56.64", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "06:56.88", - "stop": "07:01.76", - "speaker": "Tutor", - "dialogue": "You can now take your tools, Yup, and label it in the way that makes sense to you." - }, - { - "start": "07:02.56", - "stop": "07:02.76", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "07:10.64", - "stop": "07:13.84", - "speaker": "Tutor", - "dialogue": "If you try to move that, make sure that your top arrow is selected." - }, - { - "start": "07:15.48", - "stop": "07:16.00", - "speaker": "Student", - "dialogue": "This, yeah." - }, - { - "start": "07:16.72", - "stop": "07:18.12", - "speaker": "Tutor", - "dialogue": "And then you can grab onto it." - }, - { - "start": "07:27.24", - "stop": "07:27.40", - "speaker": "Student", - "dialogue": "There." - }, - { - "start": "07:27.48", - "stop": "07:27.68", - "speaker": "Tutor", - "dialogue": "You go." - }, - { - "start": "07:57.48", - "stop": "07:57.76", - "speaker": "Student", - "dialogue": "Sure." - }, - { - "start": "08:35.44", - "stop": "08:37.04", - "speaker": "Tutor", - "dialogue": "What's happening from A to B?" - }, - { - "start": "08:57.24", - "stop": "08:59.20", - "speaker": "Student", - "dialogue": "I would say the car getting on highway." - }, - { - "start": "09:00.00", - "stop": "09:10.40", - "speaker": "Tutor", - "dialogue": "Okay, and as the car is on the highway, describe to me more about what's going on with the car in terms of miles and hours." - }, - { - "start": "09:11.76", - "stop": "09:16.40", - "speaker": "Student", - "dialogue": "I'm so, I think from B to c, there's traffic." - }, - { - "start": "09:19.60", - "stop": "09:20.80", - "speaker": "Student", - "dialogue": "Since it stays." - }, - { - "start": "09:22.40", - "stop": "09:22.76", - "speaker": "Student", - "dialogue": "It's like" - }, - { - "start": "09:22.96", - "stop": "09:25.08", - "speaker": "Student", - "dialogue": "it's a straight line and stays that way." - }, - { - "start": "09:26.44", - "stop": "09:28.20", - "speaker": "Tutor", - "dialogue": "And what's that it that stays?" - }, - { - "start": "09:29.64", - "stop": "09:30.56", - "speaker": "Student", - "dialogue": "The call the car." - }, - { - "start": "09:30.76", - "stop": "09:31.60", - "speaker": "Tutor", - "dialogue": "Staying okay." - }, - { - "start": "09:33.28", - "stop": "09:33.32", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "09:33.56", - "stop": "09:35.84", - "speaker": "Tutor", - "dialogue": "So I'm gonna type some words up here." - }, - { - "start": "09:42.04", - "stop": "09:42.16", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "09:42.20", - "stop": "09:43.40", - "speaker": "Tutor", - "dialogue": "Going to challenge you to use." - }, - { - "start": "09:49.64", - "stop": "09:49.68", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "09:50.00", - "stop": "09:51.16", - "speaker": "Tutor", - "dialogue": "You've started using them." - }, - { - "start": "10:00.40", - "stop": "10:00.64", - "speaker": "Student", - "dialogue": "Slid." - }, - { - "start": "10:00.72", - "stop": "10:00.76", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "10:00.88", - "stop": "10:00.96", - "speaker": "Student", - "dialogue": "Up." - }, - { - "start": "10:01.56", - "stop": "10:03.00", - "speaker": "Tutor", - "dialogue": "Okay, so you know that's hoy?" - }, - { - "start": "10:03.00", - "stop": "10:03.56", - "speaker": "Tutor", - "dialogue": "I keep saying." - }, - { - "start": "10:03.64", - "stop": "10:03.92", - "speaker": "Tutor", - "dialogue": "What's the?" - }, - { - "start": "10:04.00", - "stop": "10:04.04", - "speaker": "Tutor", - "dialogue": "it?" - }, - { - "start": "10:05.08", - "stop": "10:06.00", - "speaker": "Tutor", - "dialogue": "Yeah, what's the day?" - }, - { - "start": "10:06.48", - "stop": "10:19.92", - "speaker": "Tutor", - "dialogue": "So as you're describing your thinking to me, I'm going to challenge you to be very specific with what is increasing, what is decreasing, what is staying the same, and also challenge you to use." - }, - { - "start": "10:21.04", - "stop": "10:28.32", - "speaker": "Tutor", - "dialogue": "How is distance changing or staying the same, And how is time changing or staying the same" - }, - { - "start": "10:29.00", - "stop": "10:33.56", - "speaker": "Tutor", - "dialogue": "With each section of the journey Does that make sense?" - }, - { - "start": "10:34.24", - "stop": "10:36.72", - "speaker": "Student", - "dialogue": "Yes, so use the words up here, Y." - }, - { - "start": "10:37.08", - "stop": "10:38.84", - "speaker": "Tutor", - "dialogue": "Challenge yourself to try to use those words." - }, - { - "start": "10:39.00", - "stop": "10:44.36", - "speaker": "Tutor", - "dialogue": "So if I ask you, Ok, describe to me what's happening between A and B." - }, - { - "start": "10:46.88", - "stop": "10:47.24", - "speaker": "Student", - "dialogue": "Challenge." - }, - { - "start": "10:47.28", - "stop": "10:52.68", - "speaker": "Tutor", - "dialogue": "Yourself to use these words as you think about describing to me what's happening between A and B." - }, - { - "start": "10:53.64", - "stop": "10:58.28", - "speaker": "Student", - "dialogue": "Ok do I do?" - }, - { - "start": "10:58.40", - "stop": "10:58.80", - "speaker": "Student", - "dialogue": "I say it." - }, - { - "start": "11:00.56", - "stop": "11:00.68", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "11:04.76", - "stop": "11:25.60", - "speaker": "Student", - "dialogue": "The traveller's car is in the Providence at point A, and as it's going to, as the traveler's car is going to point B, it is increasing distance and speed, ooh, or time." - }, - { - "start": "11:27.16", - "stop": "11:30.48", - "speaker": "Tutor", - "dialogue": "Ha, are those the same thing you said?" - }, - { - "start": "11:30.60", - "stop": "11:33.80", - "speaker": "Tutor", - "dialogue": "It's increasing speed or time." - }, - { - "start": "11:35.52", - "stop": "11:35.72", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "11:36.04", - "stop": "11:38.92", - "speaker": "Tutor", - "dialogue": "Are speed and time the same thing in that situation?" - }, - { - "start": "11:40.64", - "stop": "11:40.76", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "11:41.44", - "stop": "11:41.88", - "speaker": "Tutor", - "dialogue": "Say more." - }, - { - "start": "11:45.32", - "stop": "11:46.52", - "speaker": "Student", - "dialogue": "Speed is more like." - }, - { - "start": "11:49.92", - "stop": "11:52.52", - "speaker": "Student", - "dialogue": "Well, it's sort of like time, but it's kind of like." - }, - { - "start": "11:53.08", - "stop": "11:58.84", - "speaker": "Student", - "dialogue": "Um, a faster version of it." - }, - { - "start": "11:59.20", - "stop": "12:03.72", - "speaker": "Student", - "dialogue": "I'm not sure you can explain that, but it's It's just different." - }, - { - "start": "12:05.00", - "stop": "12:08.16", - "speaker": "Tutor", - "dialogue": "Okay, so you said between A and B?" - }, - { - "start": "12:09.00", - "stop": "12:09.36", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "12:09.80", - "stop": "12:11.92", - "speaker": "Tutor", - "dialogue": "The distance is increasing." - }, - { - "start": "12:12.84", - "stop": "12:13.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "12:13.72", - "stop": "12:16.08", - "speaker": "Tutor", - "dialogue": "As the time is also increasing." - }, - { - "start": "12:18.40", - "stop": "12:18.60", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "12:18.68", - "stop": "12:21.60", - "speaker": "Tutor", - "dialogue": "Do you see speed or how does speed?" - }, - { - "start": "12:21.88", - "stop": "12:22.84", - "speaker": "Tutor", - "dialogue": "This is cool thinking." - }, - { - "start": "12:23.32", - "stop": "12:30.48", - "speaker": "Tutor", - "dialogue": "I just don't see the word speed on there, so help me understand what's the relationship of speed from A to B as well?" - }, - { - "start": "12:33.52", - "stop": "12:43.68", - "speaker": "Student", - "dialogue": "The miles caause, you know how, when you're driving it gives you like how fast you're driving, Um mile per hour, Mhm." - }, - { - "start": "12:45.12", - "stop": "12:45.16", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "12:45.40", - "stop": "12:56.92", - "speaker": "Student", - "dialogue": "Kind of it shows a increase of the distance in this period of time, so that's an hour." - }, - { - "start": "12:58.28", - "stop": "13:02.20", - "speaker": "Tutor", - "dialogue": "Okay, so I'm going to try to capture what you're saying up here." - }, - { - "start": "13:02.40", - "stop": "13:05.52", - "speaker": "Tutor", - "dialogue": "Oh, okay, to make sure that I'm understanding correctly." - }, - { - "start": "13:06.08", - "stop": "13:09.28", - "speaker": "Tutor", - "dialogue": "Okay, so you're saying from A to B?" - }, - { - "start": "13:11.60", - "stop": "13:11.64", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "13:11.88", - "stop": "13:13.00", - "speaker": "Tutor", - "dialogue": "Distance does what?" - }, - { - "start": "13:15.16", - "stop": "13:17.44", - "speaker": "Student", - "dialogue": "The distance is increased." - }, - { - "start": "13:18.84", - "stop": "13:21.96", - "speaker": "Tutor", - "dialogue": "Is increasing the time is doing what?" - }, - { - "start": "13:24.52", - "stop": "13:29.04", - "speaker": "Student", - "dialogue": "While time is passing from one hour for one hour." - }, - { - "start": "13:30.92", - "stop": "13:38.36", - "speaker": "Tutor", - "dialogue": "And time generally passes, Yes, and also we can think of time as something that is changing." - }, - { - "start": "13:39.36", - "stop": "13:44.96", - "speaker": "Tutor", - "dialogue": "So in this situation from A to B, the time is also increasing." - }, - { - "start": "13:46.48", - "stop": "13:46.64", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "13:47.32", - "stop": "13:50.36", - "speaker": "Tutor", - "dialogue": "So, while time is increasing, okay?" - }, - { - "start": "13:51.24", - "stop": "13:51.52", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "13:52.48", - "stop": "13:57.08", - "speaker": "Tutor", - "dialogue": "And the speed is what from A to B?" - }, - { - "start": "14:01.16", - "stop": "14:03.04", - "speaker": "Student", - "dialogue": "Fifty miles per hour." - }, - { - "start": "14:04.00", - "stop": "14:08.40", - "speaker": "Tutor", - "dialogue": "So is the speed increasing, decreasing or staying the same?" - }, - { - "start": "14:09.76", - "stop": "14:10.36", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "14:11.32", - "stop": "14:20.20", - "speaker": "Tutor", - "dialogue": "From A to B, it increases from fifty miles per hour, or it's fifty miles per hour the whole time, or it changes." - }, - { - "start": "14:25.80", - "stop": "15:00.60", - "speaker": "Student", - "dialogue": "Let me think cool, Si, a increasing." - }, - { - "start": "15:02.48", - "stop": "15:05.28", - "speaker": "Tutor", - "dialogue": "Increasing from what to what, and how do you know?" - }, - { - "start": "15:06.48", - "stop": "15:18.64", - "speaker": "Student", - "dialogue": "From A to B, since when you reach when they reach point B, it is already fifty, so When they were in point A, they were at zero." - }, - { - "start": "15:19.56", - "stop": "15:23.28", - "speaker": "Tutor", - "dialogue": "They were at zero for distance, time or speed." - }, - { - "start": "15:24.28", - "stop": "15:24.72", - "speaker": "Student", - "dialogue": "Distance." - }, - { - "start": "15:25.12", - "stop": "15:29.60", - "speaker": "Tutor", - "dialogue": "Okay, so the distance is increasing from zero to fifty." - }, - { - "start": "15:31.00", - "stop": "15:31.04", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "15:31.28", - "stop": "15:33.64", - "speaker": "Tutor", - "dialogue": "Time is increasing from zero to one." - }, - { - "start": "15:34.84", - "stop": "15:35.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "15:37.08", - "stop": "15:41.32", - "speaker": "Tutor", - "dialogue": "And you said the speed is fifty miles per hour earlier?" - }, - { - "start": "15:43.16", - "stop": "15:45.04", - "speaker": "Student", - "dialogue": "Now that I'm thinking of it, I don'tthink" - }, - { - "start": "15:45.16", - "stop": "15:46.56", - "speaker": "Tutor", - "dialogue": "So you don't think so, How come?" - }, - { - "start": "15:46.88", - "stop": "15:48.12", - "speaker": "Student", - "dialogue": "W. Caause." - }, - { - "start": "15:49.12", - "stop": "16:08.96", - "speaker": "Student", - "dialogue": "now that we're talking about how the car travels from A to B and the distance from zero to fifty, and time from zero to one, I think it's like it just shows the miles of how far they went." - }, - { - "start": "16:10.64", - "stop": "16:17.92", - "speaker": "Tutor", - "dialogue": "Mm, so in this graph you're saying all you can be sure of is that from A to B?" - }, - { - "start": "16:19.16", - "stop": "16:19.44", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "16:20.92", - "stop": "16:25.36", - "speaker": "Tutor", - "dialogue": "The distance is increasing while the time is increasing." - }, - { - "start": "16:27.20", - "stop": "16:27.36", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:27.56", - "stop": "16:29.20", - "speaker": "Tutor", - "dialogue": "We can't say anything about speed yet." - }, - { - "start": "16:29.84", - "stop": "16:30.68", - "speaker": "Student", - "dialogue": "Yeah, okay." - }, - { - "start": "16:31.68", - "stop": "16:31.96", - "speaker": "Tutor", - "dialogue": "Cool" - }, - { - "start": "16:32.24", - "stop": "16:32.40", - "speaker": "Tutor", - "dialogue": "now." - }, - { - "start": "16:32.52", - "stop": "16:33.92", - "speaker": "Tutor", - "dialogue": "From B to C. what's happening?" - }, - { - "start": "16:35.48", - "stop": "16:45.92", - "speaker": "Student", - "dialogue": "From B to C, I think there's traffic, so they're staying in the miles for half an hour." - }, - { - "start": "16:48.40", - "stop": "16:52.52", - "speaker": "Tutor", - "dialogue": "So is the distance increasing, decreasing or staying the same?" - }, - { - "start": "16:53.52", - "stop": "16:54.64", - "speaker": "Student", - "dialogue": "Staying the same." - }, - { - "start": "16:55.12", - "stop": "16:56.92", - "speaker": "Tutor", - "dialogue": "Co, say that in a complete sentence." - }, - { - "start": "16:57.00", - "stop": "17:12.24", - "speaker": "Student", - "dialogue": "Now from point B to point C, the travelers cars distance stays the stame while time passes for thirty minutes." - }, - { - "start": "17:12.92", - "stop": "17:23.16", - "speaker": "Tutor", - "dialogue": "Beautiful, and I'm purposely having you say this in a complete sentence to help your brain connect how these things are changing in relation to each." - }, - { - "start": "17:23.20", - "stop": "17:23.36", - "speaker": "Student", - "dialogue": "Other." - }, - { - "start": "17:24.80", - "stop": "17:30.32", - "speaker": "Tutor", - "dialogue": "O, All right, So now you're saying from B to c the distance?" - }, - { - "start": "17:31.84", - "stop": "17:31.88", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "17:32.04", - "stop": "17:37.24", - "speaker": "Tutor", - "dialogue": "Staying the same while a time is increasing bye." - }, - { - "start": "17:38.08", - "stop": "17:38.72", - "speaker": "Student", - "dialogue": "Thirty thirty." - }, - { - "start": "17:39.72", - "stop": "17:44.00", - "speaker": "Tutor", - "dialogue": "Beautiful, do you want to label that anywhere, or you think that you can remember it just by looking at it?" - }, - { - "start": "17:44.64", - "stop": "17:45.48", - "speaker": "Student", - "dialogue": "Can I label that?" - }, - { - "start": "17:45.72", - "stop": "17:46.36", - "speaker": "Tutor", - "dialogue": "Sure, yep." - }, - { - "start": "17:50.00", - "stop": "17:50.04", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "17:50.24", - "stop": "17:51.64", - "speaker": "Tutor", - "dialogue": "You can label on the graph." - }, - { - "start": "17:52.24", - "stop": "17:55.84", - "speaker": "Tutor", - "dialogue": "You can also label over here like Hare's point A." - }, - { - "start": "17:58.68", - "stop": "17:58.72", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "17:58.80", - "stop": "18:00.60", - "speaker": "Tutor", - "dialogue": "Can label anywhere that makes sense for you." - }, - { - "start": "18:01.44", - "stop": "18:01.76", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "18:02.64", - "stop": "18:05.92", - "speaker": "Tutor", - "dialogue": "Oh, cool and yep, you can do different colors if that helps you stay organized." - }, - { - "start": "19:26.40", - "stop": "19:27.32", - "speaker": "Tutor", - "dialogue": "Are you still labeling?" - }, - { - "start": "19:28.56", - "stop": "19:28.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "19:29.12", - "stop": "19:30.36", - "speaker": "Tutor", - "dialogue": "You're making it pre." - }, - { - "start": "19:30.60", - "stop": "19:32.56", - "speaker": "Student", - "dialogue": "S. yeah." - }, - { - "start": "19:32.96", - "stop": "19:34.12", - "speaker": "Tutor", - "dialogue": "Are you drawn with a mouse?" - }, - { - "start": "19:35.28", - "stop": "19:37.84", - "speaker": "Student", - "dialogue": "Yes, oh no, a mouse pang, oh." - }, - { - "start": "19:37.92", - "stop": "19:38.12", - "speaker": "Tutor", - "dialogue": "Are you?" - }, - { - "start": "19:39.60", - "stop": "19:39.64", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "19:39.72", - "stop": "19:40.24", - "speaker": "Tutor", - "dialogue": "Gets a little." - }, - { - "start": "19:40.24", - "stop": "19:41.20", - "speaker": "Student", - "dialogue": "Turky, yeah." - }, - { - "start": "19:41.88", - "stop": "19:42.24", - "speaker": "Tutor", - "dialogue": "Perfect." - }, - { - "start": "19:43.08", - "stop": "19:44.24", - "speaker": "Tutor", - "dialogue": "Okay, No" - }, - { - "start": "19:44.88", - "stop": "19:45.80", - "speaker": "Tutor", - "dialogue": "from C to D." - }, - { - "start": "19:48.40", - "stop": "19:48.68", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "19:48.72", - "stop": "19:50.88", - "speaker": "Tutor", - "dialogue": "From seet, or what's saying, the same." - }, - { - "start": "19:52.72", - "stop": "20:27.88", - "speaker": "Student", - "dialogue": "Hold on A, from C to D. I would say it's the same movement that's happening in A to B. So it's from C to D. The distance is increasing fifty mi, fifty miles, while time is increased by one hour, beautiful." - }, - { - "start": "20:28.28", - "stop": "20:30.36", - "speaker": "Tutor", - "dialogue": "You can label that and anywhere that makes sense for." - }, - { - "start": "20:30.48", - "stop": "20:54.92", - "speaker": "Student", - "dialogue": "You okay?" - }, - { - "start": "21:20.88", - "stop": "21:25.12", - "speaker": "Tutor", - "dialogue": "Okay, nice, Okay, Now you talked about D to e, s, B and New York City." - }, - { - "start": "21:26.00", - "stop": "21:26.28", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "21:27.24", - "stop": "21:28.48", - "speaker": "Tutor", - "dialogue": "Or's a squiggly line there?" - }, - { - "start": "21:29.88", - "stop": "21:30.04", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "21:30.84", - "stop": "21:40.76", - "speaker": "Tutor", - "dialogue": "Again, using those word bank words, increasing, decreasing, staying the same, Describe what's happening with distance and time from D to E." - }, - { - "start": "21:45.08", - "stop": "21:52.44", - "speaker": "Student", - "dialogue": "From D to e, I think there, Um, stopping M moving." - }, - { - "start": "21:54.36", - "stop": "21:56.84", - "speaker": "Tutor", - "dialogue": "M, so you're describing the car?" - }, - { - "start": "21:58.12", - "stop": "21:58.16", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "21:58.44", - "stop": "22:02.32", - "speaker": "Tutor", - "dialogue": "It's like visually stopping and then going stopping, yeoing cool." - }, - { - "start": "22:02.52", - "stop": "22:10.32", - "speaker": "Tutor", - "dialogue": "So now in go a complete sentence, describe how distance is changing and how time is changing in this section." - }, - { - "start": "22:13.68", - "stop": "22:38.40", - "speaker": "Student", - "dialogue": "From D to E, distance is increasing and staying the same, then increasing and staying the same while time is increasing beautiful." - }, - { - "start": "22:38.84", - "stop": "22:41.32", - "speaker": "Tutor", - "dialogue": "It's like patting her head and rubbing her belly at the same time." - }, - { - "start": "22:42.24", - "stop": "22:42.40", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "22:43.32", - "stop": "22:44.84", - "speaker": "Tutor", - "dialogue": "And that's what graphs do." - }, - { - "start": "22:46.12", - "stop": "22:46.16", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "22:46.88", - "stop": "22:50.00", - "speaker": "Tutor", - "dialogue": "Stuff inside of a graph, sometimes we thin of." - }, - { - "start": "22:50.12", - "stop": "22:55.76", - "speaker": "Tutor", - "dialogue": "it's like just a point and I've got to know the coordinates to plot the point and then I connect the lines right." - }, - { - "start": "22:56.84", - "stop": "23:03.56", - "speaker": "Tutor", - "dialogue": "But what a graph is doing is describing the relationship of how this thing that is changing." - }, - { - "start": "23:04.96", - "stop": "23:05.00", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "23:05.28", - "stop": "23:09.76", - "speaker": "Tutor", - "dialogue": "This thing that is changing are changing in relation to each other." - }, - { - "start": "23:10.72", - "stop": "23:10.88", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "23:12.52", - "stop": "23:14.52", - "speaker": "Tutor", - "dialogue": "Okay, I won't make you type that one out." - }, - { - "start": "23:15.64", - "stop": "23:19.72", - "speaker": "Tutor", - "dialogue": "I think you got it and E to F. What's happening from Ea, F?" - }, - { - "start": "23:23.44", - "stop": "23:33.08", - "speaker": "Student", - "dialogue": "From point E to f, distance is increasing, while time is increasing by fifteen minutes, about fifteen minutes." - }, - { - "start": "23:33.56", - "stop": "23:35.60", - "speaker": "Tutor", - "dialogue": "So time increases by fifteen minutes." - }, - { - "start": "23:35.80", - "stop": "23:37.20", - "speaker": "Tutor", - "dialogue": "How much does distance increase?" - }, - { - "start": "23:40.64", - "stop": "23:51.80", - "speaker": "Student", - "dialogue": "By, like, let me see twenty five." - }, - { - "start": "23:54.56", - "stop": "23:54.72", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "24:22.84", - "stop": "24:23.72", - "speaker": "Tutor", - "dialogue": "Are you looking at the?" - }, - { - "start": "24:25.48", - "stop": "24:25.52", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "24:25.64", - "stop": "24:27.00", - "speaker": "Tutor", - "dialogue": "You, it doesn't have to be precise." - }, - { - "start": "24:27.12", - "stop": "24:29.52", - "speaker": "Tutor", - "dialogue": "I know it's a little bit hard to see on a screen." - }, - { - "start": "24:29.60", - "stop": "24:31.56", - "speaker": "Tutor", - "dialogue": "but what's your best estimate for Eda?" - }, - { - "start": "24:31.68", - "stop": "24:33.08", - "speaker": "Tutor", - "dialogue": "F. How much distance is that?" - }, - { - "start": "24:34.20", - "stop": "24:35.12", - "speaker": "Student", - "dialogue": "Fifteen." - }, - { - "start": "24:35.80", - "stop": "24:37.36", - "speaker": "Tutor", - "dialogue": "Fifteenish seems reasonable." - }, - { - "start": "24:37.80", - "stop": "24:39.96", - "speaker": "Tutor", - "dialogue": "Yeah, Each one of those is a interval of ten." - }, - { - "start": "24:41.40", - "stop": "24:41.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "24:41.92", - "stop": "24:43.24", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "24:44.08", - "stop": "24:53.48", - "speaker": "Tutor", - "dialogue": "So now you've done a beautiful job of labeling your graphh, N. I want to think about what is happening on the map" - }, - { - "start": "24:53.76", - "stop": "24:59.32", - "speaker": "Tutor", - "dialogue": "Now, so I labeled where point A was and point F was based on what you did on the graph." - }, - { - "start": "25:00.12", - "stop": "25:00.40", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "25:00.76", - "stop": "25:04.76", - "speaker": "Tutor", - "dialogue": "Where do you think point B would be located, and why?" - }, - { - "start": "25:05.48", - "stop": "25:06.48", - "speaker": "Student", - "dialogue": "Point B, Yes." - }, - { - "start": "25:08.28", - "stop": "25:08.44", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "25:13.52", - "stop": "25:18.00", - "speaker": "Student", - "dialogue": "You said the I ninety five was the name of the Um" - }, - { - "start": "25:18.12", - "stop": "25:19.00", - "speaker": "Student", - "dialogue": "highway, right ya?" - }, - { - "start": "25:19.12", - "stop": "25:19.24", - "speaker": "Student", - "dialogue": "it's." - }, - { - "start": "25:19.28", - "stop": "25:20.48", - "speaker": "Tutor", - "dialogue": "An intertateight highway." - }, - { - "start": "25:20.96", - "stop": "25:43.96", - "speaker": "Student", - "dialogue": "Okay, I would say probably around here cool." - }, - { - "start": "25:44.00", - "stop": "26:02.60", - "speaker": "Tutor", - "dialogue": "You can mark it, you can put your car and letter, or however you want to keep track of itight." - }, - { - "start": "26:04.28", - "stop": "26:04.32", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "26:04.56", - "stop": "26:05.28", - "speaker": "Tutor", - "dialogue": "Why do you think?" - }, - { - "start": "26:08.56", - "stop": "26:37.12", - "speaker": "Student", - "dialogue": "From the starting point A to so okay, so there's B, C where the distance stays the same and I think since it's probably traffic, it would be like around here, since there's an arc over here and most traffic usually happens around arcs like a turning point." - }, - { - "start": "26:38.32", - "stop": "26:40.16", - "speaker": "Tutor", - "dialogue": "That's where you think C would be located." - }, - { - "start": "26:41.44", - "stop": "26:41.48", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "26:42.08", - "stop": "26:44.00", - "speaker": "Tutor", - "dialogue": "Okay, you can mark it well." - }, - { - "start": "26:44.16", - "stop": "26:47.68", - "speaker": "Tutor", - "dialogue": "you said Yeah, Are you convinced or are you still thinking?" - }, - { - "start": "26:48.48", - "stop": "26:49.28", - "speaker": "Student", - "dialogue": "I'm convinced." - }, - { - "start": "26:49.52", - "stop": "26:51.84", - "speaker": "Tutor", - "dialogue": "Okay, so mark where you think hite se with be?" - }, - { - "start": "26:52.44", - "stop": "26:52.76", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "27:05.68", - "stop": "27:08.12", - "speaker": "Tutor", - "dialogue": "Okay, and now again, back to these." - }, - { - "start": "27:09.76", - "stop": "27:09.80", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "27:10.00", - "stop": "27:11.00", - "speaker": "Tutor", - "dialogue": "Like to use color just." - }, - { - "start": "27:11.08", - "stop": "27:11.60", - "speaker": "Student", - "dialogue": "'cause it's fun." - }, - { - "start": "27:12.96", - "stop": "27:13.96", - "speaker": "Tutor", - "dialogue": "Back to these words." - }, - { - "start": "27:16.88", - "stop": "27:17.04", - "speaker": "Student", - "dialogue": "Tell." - }, - { - "start": "27:17.12", - "stop": "27:20.72", - "speaker": "Tutor", - "dialogue": "Me why you chose to put B here and C here?" - }, - { - "start": "27:32.08", - "stop": "27:58.84", - "speaker": "Student", - "dialogue": "From point A to point B, distance is increasing while increasing, then from point B to point C, distance sase the same while time is increasing if due to the." - }, - { - "start": "27:59.08", - "stop": "28:05.08", - "speaker": "Tutor", - "dialogue": "Traffic of ity, so from A to B, you said the distance was increasing by how much?" - }, - { - "start": "28:07.28", - "stop": "28:10.00", - "speaker": "Student", - "dialogue": "By fifty miles, o k." - }, - { - "start": "28:10.48", - "stop": "28:13.64", - "speaker": "Tutor", - "dialogue": "So it increases by fifty miles." - }, - { - "start": "28:15.88", - "stop": "28:15.92", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "28:16.16", - "stop": "28:21.12", - "speaker": "Tutor", - "dialogue": "Is fifty miles right at point B, or is fifty miles the distance the car has traveled?" - }, - { - "start": "28:22.24", - "stop": "28:26.88", - "speaker": "Student", - "dialogue": "On the distance the car has traveled from point A to point B, okay?" - }, - { - "start": "28:27.56", - "stop": "28:31.16", - "speaker": "Tutor", - "dialogue": "So it's this Wh line segment." - }, - { - "start": "28:31.32", - "stop": "28:32.64", - "speaker": "Student", - "dialogue": "Here, yes, sixty." - }, - { - "start": "28:32.72", - "stop": "28:36.36", - "speaker": "Tutor", - "dialogue": "Miles, Okay and oh my goodness, what happened there?" - }, - { - "start": "28:38.20", - "stop": "28:38.24", - "speaker": "Student", - "dialogue": "My." - }, - { - "start": "28:38.36", - "stop": "28:39.28", - "speaker": "Tutor", - "dialogue": "Mouth went crazy." - }, - { - "start": "28:40.12", - "stop": "28:41.36", - "speaker": "Tutor", - "dialogue": "Okay and then?" - }, - { - "start": "28:42.92", - "stop": "28:42.96", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "28:43.16", - "stop": "28:46.68", - "speaker": "Tutor", - "dialogue": "Said time was also increasing from A to B by how much?" - }, - { - "start": "28:48.52", - "stop": "28:51.16", - "speaker": "Student", - "dialogue": "From a b by one hour." - }, - { - "start": "28:51.88", - "stop": "28:57.88", - "speaker": "Tutor", - "dialogue": "So it took the car one hour to travel this distance of fifty miles." - }, - { - "start": "28:58.72", - "stop": "28:59.72", - "speaker": "Student", - "dialogue": "Mhm, a right." - }, - { - "start": "29:00.00", - "stop": "29:03.76", - "speaker": "Tutor", - "dialogue": "And then, from B to c, what's happening with distance?" - }, - { - "start": "29:05.64", - "stop": "29:09.92", - "speaker": "Student", - "dialogue": "From B to C, distance stays the same Ok." - }, - { - "start": "29:10.88", - "stop": "29:13.16", - "speaker": "Tutor", - "dialogue": "So if distance stays the same?" - }, - { - "start": "29:15.12", - "stop": "29:15.16", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "29:15.40", - "stop": "29:17.28", - "speaker": "Tutor", - "dialogue": "Is what would I label for this section?" - }, - { - "start": "29:22.48", - "stop": "29:32.80", - "speaker": "Student", - "dialogue": "Oh, wait, Ca. are we able to put B and C in the same Um area?" - }, - { - "start": "29:33.32", - "stop": "29:34.24", - "speaker": "Tutor", - "dialogue": "That's a great question." - }, - { - "start": "29:35.16", - "stop": "29:37.48", - "speaker": "Tutor", - "dialogue": "Can B and C be the same point?" - }, - { - "start": "29:38.56", - "stop": "29:39.36", - "speaker": "Student", - "dialogue": "Yeah, why?" - }, - { - "start": "29:40.68", - "stop": "29:40.88", - "speaker": "Tutor", - "dialogue": "Caause." - }, - { - "start": "29:41.04", - "stop": "29:44.00", - "speaker": "Student", - "dialogue": "Over here, a distance stays the same, so the car isn't moving." - }, - { - "start": "29:45.96", - "stop": "29:50.68", - "speaker": "Tutor", - "dialogue": "So on our path, Mhm, they are at the same point on the traick." - }, - { - "start": "29:50.84", - "stop": "29:51.84", - "speaker": "Tutor", - "dialogue": "Yes, that's what you're saying." - }, - { - "start": "29:52.56", - "stop": "29:52.60", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "29:52.96", - "stop": "29:55.40", - "speaker": "Tutor", - "dialogue": "Cool, do we get to change our mind in math?" - }, - { - "start": "29:56.40", - "stop": "29:58.16", - "speaker": "Student", - "dialogue": "Yeah, can I change my points, too?" - }, - { - "start": "29:58.48", - "stop": "30:04.36", - "speaker": "Tutor", - "dialogue": "Absolutely, that's like when you're writing a paper and you want to edit it or yeahating, something in art and you're like, Oh, wait." - }, - { - "start": "30:04.44", - "stop": "30:05.08", - "speaker": "Tutor", - "dialogue": "I want to change." - }, - { - "start": "30:05.20", - "stop": "30:05.24", - "speaker": "Tutor", - "dialogue": "this." - }, - { - "start": "30:05.68", - "stop": "30:06.44", - "speaker": "Tutor", - "dialogue": "Math is the same." - }, - { - "start": "30:06.52", - "stop": "30:09.20", - "speaker": "Student", - "dialogue": "Way, how do we erase again?" - }, - { - "start": "30:09.56", - "stop": "30:11.76", - "speaker": "Tutor", - "dialogue": "Ah, ha, so what do you want to erase?" - }, - { - "start": "30:13.08", - "stop": "30:15.56", - "speaker": "Student", - "dialogue": "Um, B, n T, Okay and?" - }, - { - "start": "30:16.20", - "stop": "30:18.12", - "speaker": "Tutor", - "dialogue": "The lines use the top arrow." - }, - { - "start": "30:18.88", - "stop": "30:24.44", - "speaker": "Tutor", - "dialogue": "That's your select tool, Mhm, and then click on and select what you want to erase." - }, - { - "start": "30:26.28", - "stop": "30:26.32", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "30:26.80", - "stop": "30:29.40", - "speaker": "Tutor", - "dialogue": "Okay, if it's selected like there's little bots around it." - }, - { - "start": "30:29.48", - "stop": "30:30.36", - "speaker": "Tutor", - "dialogue": "Do you know what I'm talking about?" - }, - { - "start": "30:31.16", - "stop": "30:36.48", - "speaker": "Tutor", - "dialogue": "Once it's highlighted like that or selected, then you use the Um arrow with an x in it." - }, - { - "start": "30:38.68", - "stop": "30:38.72", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "30:39.24", - "stop": "30:39.40", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "30:42.36", - "stop": "30:42.60", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "30:44.08", - "stop": "30:46.00", - "speaker": "Tutor", - "dialogue": "You can't see when I'm pointing to the tool." - }, - { - "start": "30:46.36", - "stop": "30:47.64", - "speaker": "Tutor", - "dialogue": "That's where it is on my tool." - }, - { - "start": "30:47.72", - "stop": "30:51.68", - "speaker": "Student", - "dialogue": "Bar, okay, Yeah, and I click it." - }, - { - "start": "30:52.00", - "stop": "30:52.12", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "30:53.32", - "stop": "30:53.52", - "speaker": "Tutor", - "dialogue": "Yup." - }, - { - "start": "30:53.64", - "stop": "30:54.36", - "speaker": "Student", - "dialogue": "Okay, got." - }, - { - "start": "30:54.44", - "stop": "32:06.96", - "speaker": "Tutor", - "dialogue": "It okay, so from A to B, the car traveled fifty miles" - }, - { - "start": "32:07.12", - "stop": "32:12.40", - "speaker": "Tutor", - "dialogue": "in one hour, In B to C, the car traveleed zero miles in thirty minutes." - }, - { - "start": "32:14.24", - "stop": "32:14.28", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "32:14.48", - "stop": "32:15.60", - "speaker": "Tutor", - "dialogue": "Happens from C to D." - }, - { - "start": "32:16.88", - "stop": "32:18.48", - "speaker": "Student", - "dialogue": "From C to D, I think." - }, - { - "start": "32:27.32", - "stop": "32:27.92", - "speaker": "Tutor", - "dialogue": "So go for it." - }, - { - "start": "32:28.08", - "stop": "32:29.88", - "speaker": "Tutor", - "dialogue": "label it and ads your label in it." - }, - { - "start": "32:30.00", - "stop": "32:32.72", - "speaker": "Tutor", - "dialogue": "Remember I'm going to ask you to justify it using these words." - }, - { - "start": "32:52.52", - "stop": "32:52.56", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "32:52.84", - "stop": "32:53.40", - "speaker": "Tutor", - "dialogue": "How much?" - }, - { - "start": "32:54.72", - "stop": "32:54.96", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "32:55.08", - "stop": "32:59.72", - "speaker": "Tutor", - "dialogue": "You didn't justify it yet, and almost like you after her justify." - }, - { - "start": "32:59.84", - "stop": "32:59.88", - "speaker": "Student", - "dialogue": "It" - }, - { - "start": "33:00.48", - "stop": "33:00.84", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "33:16.76", - "stop": "33:18.44", - "speaker": "Tutor", - "dialogue": "Cool, go ahead and label those units." - }, - { - "start": "33:18.56", - "stop": "34:17.60", - "speaker": "Tutor", - "dialogue": "Also now I want to go back and challenge a little bit of your um, thinking and words that you were using at the beginning." - }, - { - "start": "34:18.12", - "stop": "34:19.16", - "speaker": "Tutor", - "dialogue": "you brought up speed." - }, - { - "start": "34:20.04", - "stop": "34:21.00", - "speaker": "Student", - "dialogue": "Yes, what?" - }, - { - "start": "34:21.28", - "stop": "34:22.28", - "speaker": "Tutor", - "dialogue": "Is speed again?" - }, - { - "start": "34:24.40", - "stop": "34:29.64", - "speaker": "Student", - "dialogue": "Speed is a faster." - }, - { - "start": "34:38.76", - "stop": "34:42.84", - "speaker": "Student", - "dialogue": "It's distance and time together, but faster." - }, - { - "start": "34:44.40", - "stop": "34:46.72", - "speaker": "Tutor", - "dialogue": "It is that's a beautiful explanation." - }, - { - "start": "34:47.76", - "stop": "34:51.68", - "speaker": "Tutor", - "dialogue": "Speed is the relationship of distance and time." - }, - { - "start": "34:52.60", - "stop": "34:52.80", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "34:53.12", - "stop": "34:58.56", - "speaker": "Tutor", - "dialogue": "And in the United States, we measure that in miles per hour, usually." - }, - { - "start": "34:59.80", - "stop": "34:59.96", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "35:00.24", - "stop": "35:09.20", - "speaker": "Tutor", - "dialogue": "So that means if I know how many miles are traveled per one hour, I could determine the speed a car is traveling." - }, - { - "start": "35:10.36", - "stop": "35:10.40", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "35:11.72", - "stop": "35:13.44", - "speaker": "Tutor", - "dialogue": "So do you have enough information?" - }, - { - "start": "35:14.52", - "stop": "35:18.28", - "speaker": "Tutor", - "dialogue": "even though speed is not on that graph listed out?" - }, - { - "start": "35:19.04", - "stop": "35:22.32", - "speaker": "Tutor", - "dialogue": "Do we have enough information to figure out the speed of the car?" - }, - { - "start": "35:23.36", - "stop": "35:23.56", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "35:26.04", - "stop": "35:26.92", - "speaker": "Tutor", - "dialogue": "Where or how?" - }, - { - "start": "35:28.76", - "stop": "35:50.76", - "speaker": "Student", - "dialogue": "Um, it's given be'cause you said if we have the time that's given and how far it traveled, we have that by fifty miles and one hour from point A to point B, and then point C to point D, is to S. so." - }, - { - "start": "35:51.04", - "stop": "35:53.24", - "speaker": "Tutor", - "dialogue": "How fast is the car going from A to B?" - }, - { - "start": "35:55.68", - "stop": "35:56.84", - "speaker": "Student", - "dialogue": "Do I need to calculate that?" - }, - { - "start": "35:57.60", - "stop": "35:59.28", - "speaker": "Tutor", - "dialogue": "Do you have enough information to calculate?" - }, - { - "start": "35:59.36", - "stop": "36:06.64", - "speaker": "Student", - "dialogue": "It, no, why not cause, I think there should be for a formula." - }, - { - "start": "36:08.72", - "stop": "36:10.36", - "speaker": "Tutor", - "dialogue": "I love it okay." - }, - { - "start": "36:10.44", - "stop": "36:11.44", - "speaker": "Tutor", - "dialogue": "so what if I said?" - }, - { - "start": "36:11.56", - "stop": "36:11.60", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "36:12.88", - "stop": "36:14.16", - "speaker": "Tutor", - "dialogue": "What if I said speed?" - }, - { - "start": "36:14.32", - "stop": "36:15.88", - "speaker": "Tutor", - "dialogue": "You have said this in words." - }, - { - "start": "36:15.96", - "stop": "36:25.32", - "speaker": "Tutor", - "dialogue": "By the way you have said, speed is the relationship of miles to ours." - }, - { - "start": "36:31.60", - "stop": "36:31.76", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "36:33.08", - "stop": "36:33.12", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "36:33.44", - "stop": "36:33.84", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "36:34.28", - "stop": "36:35.20", - "speaker": "Tutor", - "dialogue": "Per hour." - }, - { - "start": "36:36.08", - "stop": "36:36.56", - "speaker": "Student", - "dialogue": "Oh yes." - }, - { - "start": "36:38.44", - "stop": "36:44.08", - "speaker": "Tutor", - "dialogue": "So do you have enough information to calculate the speed of the car from A to B?" - }, - { - "start": "36:44.96", - "stop": "36:45.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "36:45.84", - "stop": "36:46.52", - "speaker": "Tutor", - "dialogue": "What would it be?" - }, - { - "start": "36:48.36", - "stop": "36:58.80", - "speaker": "Student", - "dialogue": "Ah, that's fifty divided by one fifty." - }, - { - "start": "36:59.36", - "stop": "37:03.88", - "speaker": "Tutor", - "dialogue": "It is, and the unit we use is miles per." - }, - { - "start": "37:05.20", - "stop": "37:06.76", - "speaker": "Student", - "dialogue": "Hour, oh." - }, - { - "start": "37:08.12", - "stop": "37:08.28", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "37:08.92", - "stop": "37:09.80", - "speaker": "Student", - "dialogue": "Yeah, oh my." - }, - { - "start": "37:09.92", - "stop": "37:13.08", - "speaker": "Tutor", - "dialogue": "Goodness, so from A to B?" - }, - { - "start": "37:14.76", - "stop": "37:14.80", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "37:14.92", - "stop": "37:16.64", - "speaker": "Tutor", - "dialogue": "Distance has increased by fifty." - }, - { - "start": "37:17.68", - "stop": "37:18.00", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "37:18.48", - "stop": "37:20.40", - "speaker": "Tutor", - "dialogue": "The speed has increased by one hour." - }, - { - "start": "37:22.12", - "stop": "37:22.32", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "37:22.40", - "stop": "37:23.52", - "speaker": "Tutor", - "dialogue": "Sorry I messed that up." - }, - { - "start": "37:24.56", - "stop": "37:26.00", - "speaker": "Tutor", - "dialogue": "Why don't you go ahead and say it?" - }, - { - "start": "37:27.76", - "stop": "37:32.92", - "speaker": "Tutor", - "dialogue": "What is going on from A to B with distance, time and speed?" - }, - { - "start": "37:35.08", - "stop": "37:52.96", - "speaker": "Student", - "dialogue": "From A to B, the car is going fifty miles per hour, Then from B to C, the car stays the same." - }, - { - "start": "37:53.24", - "stop": "38:02.32", - "speaker": "Student", - "dialogue": "No, stays in the same spot and does not move if it's then, F. so if it's" - }, - { - "start": "38:02.72", - "stop": "38:04.00", - "speaker": "Tutor", - "dialogue": "Moving, what would its speed be?" - }, - { - "start": "38:05.32", - "stop": "38:05.52", - "speaker": "Student", - "dialogue": "Zero." - }, - { - "start": "38:05.96", - "stop": "38:07.36", - "speaker": "Tutor", - "dialogue": "Zero miles per hour." - }, - { - "start": "38:08.68", - "stop": "38:22.44", - "speaker": "Student", - "dialogue": "From okay, so then from B to c, Um, the car is traveling zero miles per hour, Then from C to D, the car is traveling fifty miles per hour again." - }, - { - "start": "38:23.28", - "stop": "38:23.56", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "38:23.84", - "stop": "38:30.80", - "speaker": "Tutor", - "dialogue": "So if we go back up to this first textbox that we wrote you Ca speed in here, and then you took it out and then you're not sure" - }, - { - "start": "38:31.00", - "stop": "38:33.24", - "speaker": "Tutor", - "dialogue": "what do you think this whole sentence should be here?" - }, - { - "start": "38:34.52", - "stop": "38:42.68", - "speaker": "Student", - "dialogue": "From A to b, the distance is going from fifty miles per hour." - }, - { - "start": "38:44.68", - "stop": "38:49.04", - "speaker": "Tutor", - "dialogue": "Is the distance fifty miles per hour, or is the speed fifty miles?" - }, - { - "start": "38:51.00", - "stop": "39:05.28", - "speaker": "Student", - "dialogue": "It's from A to B. The speed of the traveler's car is going from F, fifty miles per hour and." - }, - { - "start": "39:05.56", - "stop": "39:07.44", - "speaker": "Tutor", - "dialogue": "Is it going fifty miles per hour?" - }, - { - "start": "39:07.64", - "stop": "39:09.72", - "speaker": "Tutor", - "dialogue": "That entire section from A to B?" - }, - { - "start": "39:10.40", - "stop": "39:15.56", - "speaker": "Tutor", - "dialogue": "Is it going at a constant speed of fifty miles per hour, or is the speed changing?" - }, - { - "start": "39:25.00", - "stop": "39:38.60", - "speaker": "Student", - "dialogue": "I would say the speed is changing why it goes through, since this is probably ten right." - }, - { - "start": "39:39.76", - "stop": "39:47.24", - "speaker": "Student", - "dialogue": "It goes through in what ten Mit's per ten miles per, Um, about fifteen minutes." - }, - { - "start": "39:48.28", - "stop": "39:49.68", - "speaker": "Tutor", - "dialogue": "Mhm, so at ten miles." - }, - { - "start": "39:51.68", - "stop": "39:51.72", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "39:51.84", - "stop": "39:55.44", - "speaker": "Tutor", - "dialogue": "Has taken the car you said about fifteen minutes to go ten miles." - }, - { - "start": "39:56.04", - "stop": "39:56.08", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "39:57.84", - "stop": "39:58.84", - "speaker": "Tutor", - "dialogue": "And if we knew?" - }, - { - "start": "40:00.48", - "stop": "40:00.92", - "speaker": "Student", - "dialogue": "Fifteen." - }, - { - "start": "40:01.04", - "stop": "40:01.40", - "speaker": "Tutor", - "dialogue": "Miles." - }, - { - "start": "40:05.68", - "stop": "40:05.72", - "speaker": "Student", - "dialogue": "In." - }, - { - "start": "40:06.76", - "stop": "40:10.28", - "speaker": "Tutor", - "dialogue": "Ten minutes, which is a fraction of an hour." - }, - { - "start": "40:13.20", - "stop": "40:13.24", - "speaker": "Student", - "dialogue": "We." - }, - { - "start": "40:13.32", - "stop": "40:15.76", - "speaker": "Tutor", - "dialogue": "Could use that information to figure out its speed." - }, - { - "start": "40:16.68", - "stop": "40:19.16", - "speaker": "Tutor", - "dialogue": "The speed is always per one hour." - }, - { - "start": "40:22.28", - "stop": "40:23.00", - "speaker": "Student", - "dialogue": "Wait, isn't it?" - }, - { - "start": "40:23.92", - "stop": "40:26.28", - "speaker": "Student", - "dialogue": "ten miles per fifteen minutes?" - }, - { - "start": "40:27.96", - "stop": "40:28.12", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "40:28.56", - "stop": "40:39.80", - "speaker": "Student", - "dialogue": "Or because half of um, this is thirty minutes and this is kind of in the half of it." - }, - { - "start": "40:40.68", - "stop": "40:42.88", - "speaker": "Tutor", - "dialogue": "Okay, so if it went about ten miles?" - }, - { - "start": "40:47.76", - "stop": "40:47.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "40:49.24", - "stop": "40:50.20", - "speaker": "Tutor", - "dialogue": "Some amount of time." - }, - { - "start": "40:51.28", - "stop": "40:51.32", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "40:52.80", - "stop": "40:53.04", - "speaker": "Tutor", - "dialogue": "Mhm." - }, - { - "start": "40:53.40", - "stop": "40:55.28", - "speaker": "Student", - "dialogue": "We would maybe go ahead." - }, - { - "start": "40:55.92", - "stop": "40:58.64", - "speaker": "Student", - "dialogue": "Maybe you could convert one hour to sixty minutes." - }, - { - "start": "41:21.76", - "stop": "41:21.80", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "41:30.44", - "stop": "41:30.60", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "41:30.64", - "stop": "41:33.64", - "speaker": "Tutor", - "dialogue": "It goes ten miles in how many minutes?" - }, - { - "start": "41:34.64", - "stop": "41:35.04", - "speaker": "Student", - "dialogue": "Sixty." - }, - { - "start": "41:36.20", - "stop": "41:37.80", - "speaker": "Tutor", - "dialogue": "Is it sixty minutes right here?" - }, - { - "start": "41:39.88", - "stop": "41:44.88", - "speaker": "Student", - "dialogue": "No, So that would be?" - }, - { - "start": "41:45.52", - "stop": "41:47.48", - "speaker": "Student", - "dialogue": "Um, That's about fifteen minutes." - }, - { - "start": "41:47.52", - "stop": "41:49.36", - "speaker": "Student", - "dialogue": "I think fifteen minutes should be put over here." - }, - { - "start": "41:49.56", - "stop": "42:07.12", - "speaker": "Tutor", - "dialogue": "Fork." - }, - { - "start": "42:07.48", - "stop": "42:07.52", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "42:07.80", - "stop": "42:16.00", - "speaker": "Tutor", - "dialogue": "Speed is always how many miles per one hour, so if I can go ten miles in fifteen minutes." - }, - { - "start": "42:16.52", - "stop": "42:16.56", - "speaker": "Student", - "dialogue": "Me." - }, - { - "start": "42:17.00", - "stop": "42:19.24", - "speaker": "Tutor", - "dialogue": "How many miles would I go in sixty minutes?" - }, - { - "start": "42:32.68", - "stop": "42:33.16", - "speaker": "Student", - "dialogue": "Forty." - }, - { - "start": "42:34.40", - "stop": "42:36.20", - "speaker": "Tutor", - "dialogue": "What are you doing in your head to calculate that?" - }, - { - "start": "42:38.36", - "stop": "42:41.28", - "speaker": "Student", - "dialogue": "Ten times sixty is." - }, - { - "start": "42:42.20", - "stop": "42:44.88", - "speaker": "Tutor", - "dialogue": "Yeah, so you're trying to think about the the ratio there?" - }, - { - "start": "42:45.64", - "stop": "42:45.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "42:46.04", - "stop": "42:48.16", - "speaker": "Tutor", - "dialogue": "Right, how do I go from fifteen to sixty?" - }, - { - "start": "42:49.20", - "stop": "42:53.40", - "speaker": "Student", - "dialogue": "Mhum, um, So do I tell you my calculation?" - }, - { - "start": "42:53.84", - "stop": "42:53.96", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "42:54.20", - "stop": "42:57.16", - "speaker": "Tutor", - "dialogue": "Don't I, the calculation is, I understand what you're doing there." - }, - { - "start": "42:57.20", - "stop": "43:00.60", - "speaker": "Tutor", - "dialogue": "That's really cool because I don't care about correct answer right now." - }, - { - "start": "43:00.60", - "stop": "43:05.36", - "speaker": "Tutor", - "dialogue": "I care about your thinking right, and you're thinking about how would this relationship be" - }, - { - "start": "43:06.44", - "stop": "43:10.92", - "speaker": "Tutor", - "dialogue": "And you're trying to figure out what that speed would be, and you're doing it off of an estimate right here." - }, - { - "start": "43:11.88", - "stop": "43:16.64", - "speaker": "Tutor", - "dialogue": "But what you're doing is thinking about the relationship of miles to ours." - }, - { - "start": "43:17.36", - "stop": "43:24.12", - "speaker": "Tutor", - "dialogue": "To be able to figure out the speed from A to B. The car is travelling fifty miles per hour." - }, - { - "start": "43:25.28", - "stop": "43:25.32", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "43:25.44", - "stop": "43:28.40", - "speaker": "Tutor", - "dialogue": "It's travelling fifty miles per hour here and here and here." - }, - { - "start": "43:28.48", - "stop": "43:31.96", - "speaker": "Tutor", - "dialogue": "It just hasn't covered as much distance in as much tone." - }, - { - "start": "43:32.36", - "stop": "43:44.24", - "speaker": "Tutor", - "dialogue": "but it's travelling at a rate of fifty miles per hour, and it's doing that, The entire section from A to B, from b to C. it's travelling at zero miles per." - }, - { - "start": "43:44.28", - "stop": "43:44.48", - "speaker": "Student", - "dialogue": "Hour." - }, - { - "start": "43:45.56", - "stop": "43:48.36", - "speaker": "Tutor", - "dialogue": "From C to D fifty miles per hour again." - }, - { - "start": "43:48.76", - "stop": "43:51.44", - "speaker": "Tutor", - "dialogue": "so what's really interesting here?" - }, - { - "start": "43:51.72", - "stop": "44:00.76", - "speaker": "Tutor", - "dialogue": "which is helpful for you to think about, As you're coordinating all these things from A to B, the distance is increasing while the time is increasing." - }, - { - "start": "44:02.08", - "stop": "44:02.12", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "44:02.36", - "stop": "44:02.92", - "speaker": "Tutor", - "dialogue": "The speed?" - }, - { - "start": "44:04.20", - "stop": "44:04.24", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "44:04.48", - "stop": "44:05.32", - "speaker": "Tutor", - "dialogue": "Staying the same." - }, - { - "start": "44:11.12", - "stop": "44:11.36", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "44:11.48", - "stop": "44:14.24", - "speaker": "Tutor", - "dialogue": "Staying at fifty miles per hour this whole time." - }, - { - "start": "44:14.88", - "stop": "44:15.20", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "44:15.52", - "stop": "44:20.48", - "speaker": "Tutor", - "dialogue": "So what this blue line actually shows us is the speed of the car?" - }, - { - "start": "44:21.48", - "stop": "44:35.40", - "speaker": "Tutor", - "dialogue": "Yeah, and you were thinking about it right here, too, When you were saying, the car goes faster and slower and faster and slower, And that's because speed is a thing that is described by the relationship of these two things that are changing." - }, - { - "start": "44:37.12", - "stop": "44:37.16", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "44:37.40", - "stop": "44:44.92", - "speaker": "Tutor", - "dialogue": "Any time you look at a graph, whether it's distance or time or money earned per week or anything like that." - }, - { - "start": "44:46.92", - "stop": "44:47.12", - "speaker": "Student", - "dialogue": "One." - }, - { - "start": "44:47.32", - "stop": "44:50.04", - "speaker": "Tutor", - "dialogue": "Axies is telling you how one thing is changing" - }, - { - "start": "44:51.28", - "stop": "44:56.48", - "speaker": "Tutor", - "dialogue": "You think about is this thing changing in increasing, decreasing or staying the same." - }, - { - "start": "44:57.84", - "stop": "45:01.84", - "speaker": "Tutor", - "dialogue": "And then the other axies tells you how the other thing is changing." - }, - { - "start": "45:02.56", - "stop": "45:12.76", - "speaker": "Tutor", - "dialogue": "Is it increasing decreasing or staying the same, And then what's in the middle is how those two things are changing in relation to each other?" - }, - { - "start": "45:13.80", - "stop": "45:14.24", - "speaker": "Student", - "dialogue": "Sometimes." - }, - { - "start": "45:14.32", - "stop": "45:26.76", - "speaker": "Tutor", - "dialogue": "We describe those as rates or slopes, or in this specific instance, it can also be described as the speed, because that is what the relationship of miles to ours is." - }, - { - "start": "45:28.08", - "stop": "45:28.24", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "45:28.52", - "stop": "45:29.32", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "45:30.08", - "stop": "45:31.04", - "speaker": "Student", - "dialogue": "Yes, cool." - }, - { - "start": "45:31.52", - "stop": "45:33.76", - "speaker": "Tutor", - "dialogue": "You did so much thinking and work to day." - }, - { - "start": "45:34.44", - "stop": "45:39.76", - "speaker": "Tutor", - "dialogue": "it was helpful as you explained out loud for me to understand what a powerful mathematical thinker you are." - }, - { - "start": "45:40.88", - "stop": "45:41.20", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "45:41.56", - "stop": "45:49.64", - "speaker": "Tutor", - "dialogue": "As we're learning about this way of tutoring in this platform, can you tell me a little bit about what the experience was like for you?" - }, - { - "start": "45:50.08", - "stop": "45:50.88", - "speaker": "Tutor", - "dialogue": "What was helpful?" - }, - { - "start": "45:51.12", - "stop": "45:52.12", - "speaker": "Tutor", - "dialogue": "What wasn't helpful?" - }, - { - "start": "45:52.48", - "stop": "45:54.64", - "speaker": "Tutor", - "dialogue": "What are some things that we should continue doing?" - }, - { - "start": "45:55.08", - "stop": "45:58.40", - "speaker": "Tutor", - "dialogue": "Think about changing, because your voice really matters in this process." - }, - { - "start": "45:59.12", - "stop": "45:59.72", - "speaker": "Student", - "dialogue": "Okay, we." - }, - { - "start": "46:00.20", - "stop": "46:03.52", - "speaker": "Student", - "dialogue": "I think having a one on one tutor would be like." - }, - { - "start": "46:03.80", - "stop": "46:09.48", - "speaker": "Student", - "dialogue": "It's easier to understand and genuinely." - }, - { - "start": "46:09.64", - "stop": "46:11.00", - "speaker": "Student", - "dialogue": "I, um." - }, - { - "start": "46:12.76", - "stop": "46:14.60", - "speaker": "Student", - "dialogue": "for the for the summer." - }, - { - "start": "46:14.64", - "stop": "46:22.08", - "speaker": "Student", - "dialogue": "I'm S. I was supposed to have a like an in person tutor, but that get cancelled." - }, - { - "start": "46:22.76", - "stop": "46:22.88", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "46:23.28", - "stop": "46:57.60", - "speaker": "Student", - "dialogue": "honestly, I felt that I. I thought that online learning wouldn't be so Um effective, but after going through this lesson I think it really like it helped me understand the way I thought of a question, and it went through a lot of Um, pointing out and thinking and rethinking to have an idea of what is going on in the picture, Mm." - }, - { - "start": "46:59.24", - "stop": "47:00.04", - "speaker": "Tutor", - "dialogue": "Yeah, that's cool." - }, - { - "start": "47:00.92", - "stop": "47:02.00", - "speaker": "Student", - "dialogue": "Mhm, cool." - }, - { - "start": "47:03.04", - "stop": "47:04.48", - "speaker": "Tutor", - "dialogue": "Thank you so much for sharing that." - }, - { - "start": "47:04.96", - "stop": "47:05.96", - "speaker": "Student", - "dialogue": "We're welcome, is there?" - }, - { - "start": "47:06.04", - "stop": "47:08.48", - "speaker": "Tutor", - "dialogue": "Anything else you think would be helpful for us to know?" - }, - { - "start": "47:11.84", - "stop": "47:19.48", - "speaker": "Student", - "dialogue": "Um, to be honest, I don't really think there's anything 'cause I, I fully understood what I was doing as you were teaching me." - }, - { - "start": "47:23.20", - "stop": "47:23.36", - "speaker": "Tutor", - "dialogue": "Goe." - }, - { - "start": "47:24.76", - "stop": "47:47.52", - "speaker": "Student", - "dialogue": "Um, I was just um, saying that it was really helpful that you were guiding me along the way, while also, I'm like answering your questions, and like kind of doing it the way that I like, feel comfortable in it" - }, - { - "start": "47:47.64", - "stop": "47:52.52", - "speaker": "Student", - "dialogue": "while you're guiding me, I'm a really bad explainer." - }, - { - "start": "47:52.56", - "stop": "47:53.28", - "speaker": "Student", - "dialogue": "I'm sorry, not." - }, - { - "start": "47:53.56", - "stop": "47:54.20", - "speaker": "Tutor", - "dialogue": "That was really cool." - }, - { - "start": "47:54.48", - "stop": "47:54.88", - "speaker": "Tutor", - "dialogue": "powerful." - }, - { - "start": "47:55.20", - "stop": "47:57.28", - "speaker": "Tutor", - "dialogue": "What is something that you think you learn today?" - }, - { - "start": "47:58.76", - "stop": "48:29.76", - "speaker": "Student", - "dialogue": "Well, I learned for sure how to um evaluate a picture 'cause I usually if I have a problem, I would just think of the way to solve it and I wouldn't really look at a picture first, so I'd say giving time to look at a picture and think of what is going on in the pictures of a moment with the details" - }, - { - "start": "48:29.84", - "stop": "48:33.00", - "speaker": "Student", - "dialogue": "that's giving you is really helpful." - }, - { - "start": "48:34.44", - "stop": "48:40.20", - "speaker": "Tutor", - "dialogue": "Continue doing that and even if you're in class and there is no picture, there's just a formula like you said" - }, - { - "start": "48:40.28", - "stop": "48:47.64", - "speaker": "Tutor", - "dialogue": "Here, Challenge yourself to think about what would the picture be, Because when you really know something, you have a picture for it." - }, - { - "start": "48:48.32", - "stop": "48:54.68", - "speaker": "Tutor", - "dialogue": "So you always think with what's the picture and what is what makes sense in this picture." - }, - { - "start": "48:54.72", - "stop": "48:55.00", - "speaker": "Tutor", - "dialogue": "What's it?" - }, - { - "start": "48:55.12", - "stop": "48:55.76", - "speaker": "Tutor", - "dialogue": "Keeping track of?" - }, - { - "start": "48:56.12", - "stop": "48:57.32", - "speaker": "Tutor", - "dialogue": "That's the beauty of math." - }, - { - "start": "48:57.80", - "stop": "49:01.16", - "speaker": "Tutor", - "dialogue": "Way more than finding an answer, we have the thinking part of it." - }, - { - "start": "49:02.72", - "stop": "49:03.04", - "speaker": "Student", - "dialogue": "Cool." - } -] \ No newline at end of file diff --git a/data/amber/7122022ZW.json b/data/amber/7122022ZW.json deleted file mode 100644 index 0552cfd..0000000 --- a/data/amber/7122022ZW.json +++ /dev/null @@ -1,2576 +0,0 @@ -[ - { - "start": "00:01.00", - "stop": "00:01.76", - "speaker": "Tutor", - "dialogue": "Okay, I'm goninga." - }, - { - "start": "00:01.84", - "stop": "00:02.48", - "speaker": "Tutor", - "dialogue": "change the screen." - }, - { - "start": "00:03.76", - "stop": "00:05.44", - "speaker": "Tutor", - "dialogue": "Do you see something different on the screen now?" - }, - { - "start": "00:06.04", - "stop": "00:06.48", - "speaker": "Student", - "dialogue": "Ah, yeah." - }, - { - "start": "00:06.88", - "stop": "00:08.36", - "speaker": "Tutor", - "dialogue": "Co, so take some time to read it." - }, - { - "start": "00:08.80", - "stop": "00:13.28", - "speaker": "Tutor", - "dialogue": "Look it over and tell me what you understand is happening in this situation." - }, - { - "start": "00:16.00", - "stop": "00:16.28", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:16.36", - "stop": "00:16.40", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "00:16.56", - "stop": "00:21.32", - "speaker": "Student", - "dialogue": "All I see is just the It's self exxplanatory." - }, - { - "start": "00:21.40", - "stop": "00:22.32", - "speaker": "Student", - "dialogue": "It says it, Um." - }, - { - "start": "00:22.52", - "stop": "00:23.52", - "speaker": "Student", - "dialogue": "in the first sentence." - }, - { - "start": "00:23.60", - "stop": "00:24.48", - "speaker": "Student", - "dialogue": "it's a car journey." - }, - { - "start": "00:24.84", - "stop": "00:25.12", - "speaker": "Student", - "dialogue": "That's what." - }, - { - "start": "00:25.24", - "stop": "00:28.32", - "speaker": "Student", - "dialogue": "I. That's why I know so far and the two locations" - }, - { - "start": "00:28.68", - "stop": "00:32.36", - "speaker": "Student", - "dialogue": "it says, Um, providence, Um, through New New York City." - }, - { - "start": "00:33.12", - "stop": "00:40.08", - "speaker": "Tutor", - "dialogue": "Okay, so show me with your um arrow, where we're going to start and how the car's gona travel." - }, - { - "start": "00:40.68", - "stop": "00:41.64", - "speaker": "Student", - "dialogue": "It's gona start." - }, - { - "start": "00:42.40", - "stop": "00:43.16", - "speaker": "Student", - "dialogue": "S here." - }, - { - "start": "00:44.28", - "stop": "00:45.08", - "speaker": "Student", - "dialogue": "Can you see my?" - }, - { - "start": "00:45.48", - "stop": "00:45.64", - "speaker": "Student", - "dialogue": "Yep." - }, - { - "start": "00:45.72", - "stop": "00:46.64", - "speaker": "Tutor", - "dialogue": "I can see you, pointon." - }, - { - "start": "00:47.04", - "stop": "00:53.84", - "speaker": "Student", - "dialogue": "Yeah, it's gon start here and end up to Newark, New Jersey." - }, - { - "start": "00:54.44", - "stop": "00:54.72", - "speaker": "Student", - "dialogue": "Okay?" - }, - { - "start": "00:55.04", - "stop": "00:58.68", - "speaker": "Tutor", - "dialogue": "What are some things that we might be able to measure in this situation?" - }, - { - "start": "01:00.12", - "stop": "01:02.28", - "speaker": "Student", - "dialogue": "Um, the distance traveled." - }, - { - "start": "01:04.32", - "stop": "01:05.40", - "speaker": "Tutor", - "dialogue": "Tell me more aout distance." - }, - { - "start": "01:06.56", - "stop": "01:09.40", - "speaker": "Student", - "dialogue": "From Providence to New New York." - }, - { - "start": "01:11.88", - "stop": "01:13.56", - "speaker": "Tutor", - "dialogue": "Anything else we might be able to measure?" - }, - { - "start": "01:14.48", - "stop": "01:15.44", - "speaker": "Student", - "dialogue": "Maybe speed." - }, - { - "start": "01:18.68", - "stop": "01:20.64", - "speaker": "Tutor", - "dialogue": "Need to know to be Ab toasure a speed." - }, - { - "start": "01:21.52", - "stop": "01:24.44", - "speaker": "Student", - "dialogue": "Um, the time it takes to get from Providence to New York." - }, - { - "start": "01:26.60", - "stop": "01:26.64", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "01:26.96", - "stop": "01:28.00", - "speaker": "Student", - "dialogue": "And a distance?" - }, - { - "start": "01:28.64", - "stop": "01:34.28", - "speaker": "Tutor", - "dialogue": "A, we would need to know both Mhm, some units that we might measure these things with." - }, - { - "start": "01:35.40", - "stop": "01:45.00", - "speaker": "Student", - "dialogue": "Maybe, um, miles, um, hours, kilometers, Um, yeah, that that kind of stuff." - }, - { - "start": "01:46.52", - "stop": "01:52.68", - "speaker": "Tutor", - "dialogue": "I'm going to uncover something and think about how it was similar or different to what you predicted we would measure." - }, - { - "start": "02:15.88", - "stop": "02:16.04", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "02:16.24", - "stop": "02:16.28", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "02:16.68", - "stop": "02:16.72", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "02:16.84", - "stop": "02:17.12", - "speaker": "Tutor", - "dialogue": "Talked." - }, - { - "start": "02:17.16", - "stop": "02:28.04", - "speaker": "Student", - "dialogue": "About um, I talked about the speed to get Um from Providence to Europe, which would mean Uh, distance and time, which I said like miles and and and hours." - }, - { - "start": "02:28.72", - "stop": "02:28.84", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "02:29.00", - "stop": "02:32.04", - "speaker": "Student", - "dialogue": "But the this chart doesn't directly give Um." - }, - { - "start": "02:32.48", - "stop": "02:35.48", - "speaker": "Student", - "dialogue": "the like, the average Um speed over time." - }, - { - "start": "02:35.64", - "stop": "02:42.04", - "speaker": "Student", - "dialogue": "Like with all, like, the acceleration and stuff just gives distance and time and you could simply divide" - }, - { - "start": "02:42.20", - "stop": "02:43.08", - "speaker": "Student", - "dialogue": "um, Um." - }, - { - "start": "02:43.28", - "stop": "02:44.96", - "speaker": "Student", - "dialogue": "change in time over Um." - }, - { - "start": "02:46.00", - "stop": "02:47.92", - "speaker": "Student", - "dialogue": "change in distance over Um" - }, - { - "start": "02:48.04", - "stop": "02:55.24", - "speaker": "Student", - "dialogue": "the time to find Um, the average Um speed for a given Um time." - }, - { - "start": "02:55.84", - "stop": "02:58.00", - "speaker": "Tutor", - "dialogue": "So do you see speed on this graph?" - }, - { - "start": "02:58.72", - "stop": "02:58.84", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "02:59.96", - "stop": "03:02.16", - "speaker": "Tutor", - "dialogue": "Could you figure out speed from this graph?" - }, - { - "start": "03:02.80", - "stop": "03:02.96", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "03:04.56", - "stop": "03:11.88", - "speaker": "Tutor", - "dialogue": "If you look at the map and the graph now, make sense of what is happening during each stage of the journey." - }, - { - "start": "03:15.72", - "stop": "03:20.92", - "speaker": "Student", - "dialogue": "Okay, so so first hour, um, it travels." - }, - { - "start": "03:21.16", - "stop": "03:23.40", - "speaker": "Student", - "dialogue": "Um, fifty fifty miles." - }, - { - "start": "03:23.88", - "stop": "03:28.00", - "speaker": "Student", - "dialogue": "Say that's fifty miles and then Um looks like half hour" - }, - { - "start": "03:28.24", - "stop": "03:29.04", - "speaker": "Student", - "dialogue": "you stay there." - }, - { - "start": "03:29.24", - "stop": "03:32.72", - "speaker": "Student", - "dialogue": "You don't move thirty thirty for thirty minutes." - }, - { - "start": "03:32.76", - "stop": "03:33.44", - "speaker": "Student", - "dialogue": "you don't move You." - }, - { - "start": "03:34.08", - "stop": "03:34.32", - "speaker": "Student", - "dialogue": "still." - }, - { - "start": "03:34.92", - "stop": "03:49.88", - "speaker": "Student", - "dialogue": "you still have traveled fifty miles in total and then looks like, Um, you start traveling again, Um at the one hour and thirty minute mark, and you go to a little like, stop here at the two and a half hour mark." - }, - { - "start": "03:50.40", - "stop": "03:53.24", - "speaker": "Student", - "dialogue": "So here's two and a half hours." - }, - { - "start": "03:54.44", - "stop": "03:56.72", - "speaker": "Student", - "dialogue": "Um, so that's two and a half hours and just it's" - }, - { - "start": "03:56.88", - "stop": "04:06.36", - "speaker": "Student", - "dialogue": "And the distance is kind of irregular from two and a half hours to three and a half hours, so at some point you're going Um, a little a little." - }, - { - "start": "04:06.44", - "stop": "04:15.64", - "speaker": "Student", - "dialogue": "I would say a little like slower than it'skind of irregular, and then and then three and a half hour mark, um, ju, it's kind of like." - }, - { - "start": "04:17.12", - "stop": "04:17.32", - "speaker": "Tutor", - "dialogue": "Its." - }, - { - "start": "04:17.48", - "stop": "04:21.04", - "speaker": "Student", - "dialogue": "It's kind of constant, kind of, and um, ntit a four hour mark you." - }, - { - "start": "04:21.36", - "stop": "04:23.96", - "speaker": "Student", - "dialogue": "you reach your final destination at one hundred fifty miles." - }, - { - "start": "04:25.00", - "stop": "04:25.28", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "04:25.68", - "stop": "04:28.20", - "speaker": "Tutor", - "dialogue": "You said a couple of things in there that I want to know a little bit more about." - }, - { - "start": "04:28.44", - "stop": "04:32.44", - "speaker": "Tutor", - "dialogue": "You said, kind of irregular and then kind of constant." - }, - { - "start": "04:33.12", - "stop": "04:33.44", - "speaker": "Tutor", - "dialogue": "What is?" - }, - { - "start": "04:33.56", - "stop": "04:35.48", - "speaker": "Tutor", - "dialogue": "Yeah, what's irregular and what's constant?" - }, - { - "start": "04:35.56", - "stop": "04:35.76", - "speaker": "Tutor", - "dialogue": "What's" - }, - { - "start": "04:35.80", - "stop": "04:36.60", - "speaker": "Student", - "dialogue": "The irregular." - }, - { - "start": "04:36.76", - "stop": "04:37.24", - "speaker": "Student", - "dialogue": "Oh, it's like" - }, - { - "start": "04:37.56", - "stop": "04:41.16", - "speaker": "Student", - "dialogue": "it's like the rates of change is kind of like Vari." - }, - { - "start": "04:41.44", - "stop": "04:42.60", - "speaker": "Student", - "dialogue": "It's kind of variable." - }, - { - "start": "04:42.76", - "stop": "04:43.32", - "speaker": "Student", - "dialogue": "It's not like." - }, - { - "start": "04:44.16", - "stop": "04:46.32", - "speaker": "Student", - "dialogue": "like this is linear." - }, - { - "start": "04:46.68", - "stop": "04:46.80", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "04:47.04", - "stop": "04:47.84", - "speaker": "Student", - "dialogue": "this is Um." - }, - { - "start": "04:48.52", - "stop": "04:49.60", - "speaker": "Student", - "dialogue": "This is M. zero." - }, - { - "start": "04:50.00", - "stop": "04:53.76", - "speaker": "Student", - "dialogue": "This linear and this is kind of not like, really linear." - }, - { - "start": "04:53.96", - "stop": "04:59.32", - "speaker": "Student", - "dialogue": "but like the slow keeps on like changing and this is not completely linear." - }, - { - "start": "04:59.40", - "stop": "05:09.76", - "speaker": "Student", - "dialogue": "You can see like a little like bend, Bandish, Mhm, but um, but otherwise it's like k. It's like kind of constant, but not like exactly constant or linear." - }, - { - "start": "05:10.20", - "stop": "05:30.68", - "speaker": "Tutor", - "dialogue": "So in this situation of the car and miles and hours and speed, and these things that you've been thinking about when you're describing this linear mathword on the graph, and you're describing this irregular or constant, what does that mean with these particular variables that we're keeping track of in this situation?" - }, - { - "start": "05:32.28", - "stop": "05:36.52", - "speaker": "Student", - "dialogue": "Um, I think I think it means that at some points you're going Um." - }, - { - "start": "05:37.16", - "stop": "05:39.32", - "speaker": "Student", - "dialogue": "At some points you're going Hm." - }, - { - "start": "05:40.20", - "stop": "05:47.56", - "speaker": "Student", - "dialogue": "Maybe at some points you're going Um faster than at other points throughout the time." - }, - { - "start": "05:48.68", - "stop": "05:53.04", - "speaker": "Tutor", - "dialogue": "Okay, so from A to B, what is constant here?" - }, - { - "start": "05:54.68", - "stop": "05:56.12", - "speaker": "Student", - "dialogue": "Um, the speed?" - }, - { - "start": "05:57.80", - "stop": "06:11.00", - "speaker": "Tutor", - "dialogue": "The relationship between the miles and hours makes the speed yup, and that relationship is constant, so it's a constant rate correct, and then from D to E, it's not constant." - }, - { - "start": "06:11.44", - "stop": "06:19.88", - "speaker": "Tutor", - "dialogue": "And so you talked about, that means that the car is then speeding up, slowing down, but it's not travelling at a constant rate." - }, - { - "start": "06:20.64", - "stop": "06:20.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "06:21.00", - "stop": "06:21.84", - "speaker": "Tutor", - "dialogue": "Is that what you're meaning?" - }, - { - "start": "06:22.88", - "stop": "06:26.04", - "speaker": "Tutor", - "dialogue": "Just want to make sure that I'm summarizing your thinking allright." - }, - { - "start": "06:26.72", - "stop": "06:29.72", - "speaker": "Tutor", - "dialogue": "Now you started to mark some things here." - }, - { - "start": "06:29.96", - "stop": "06:31.36", - "speaker": "Tutor", - "dialogue": "What does the Devle Dash mean?" - }, - { - "start": "06:32.56", - "stop": "06:39.88", - "speaker": "Student", - "dialogue": "Um, like here, Um, this like this is. Um, If I could a say this" - }, - { - "start": "06:40.20", - "stop": "06:51.16", - "speaker": "Student", - "dialogue": "A this point, B, this, um, A to B. That's fifty miles takes one hour, Um, it's h, one hour, um, fifty miles." - }, - { - "start": "06:52.76", - "stop": "06:53.08", - "speaker": "Tutor", - "dialogue": "Fifty." - }, - { - "start": "06:53.16", - "stop": "06:57.24", - "speaker": "Student", - "dialogue": "Miles, and then at B, it stops for they stop for thirty minutes." - }, - { - "start": "06:57.92", - "stop": "07:03.04", - "speaker": "Student", - "dialogue": "Um, So this technically stills, Um, C, and then you go to the Um." - }, - { - "start": "07:03.36", - "stop": "07:08.80", - "speaker": "Student", - "dialogue": "And and the whole trip, as I said earlier, and another fifty miles" - }, - { - "start": "07:08.88", - "stop": "07:09.64", - "speaker": "Student", - "dialogue": "You get a hundred." - }, - { - "start": "07:09.96", - "stop": "07:10.08", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "07:10.28", - "stop": "07:12.08", - "speaker": "Student", - "dialogue": "Here, it's yeah." - }, - { - "start": "07:13.16", - "stop": "07:13.40", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "07:13.48", - "stop": "07:15.40", - "speaker": "Tutor", - "dialogue": "that's I understand how you're thinking about that." - }, - { - "start": "07:17.16", - "stop": "07:22.24", - "speaker": "Tutor", - "dialogue": "this line from A to B is curvey on the map, but it is straight on the graph." - }, - { - "start": "07:22.92", - "stop": "07:24.88", - "speaker": "Student", - "dialogue": "Cause the graph is, it says distance." - }, - { - "start": "07:25.08", - "stop": "07:25.80", - "speaker": "Student", - "dialogue": "This is fifty Mi." - }, - { - "start": "07:26.00", - "stop": "07:28.16", - "speaker": "Student", - "dialogue": "It could, for example, this could be fifty." - }, - { - "start": "07:28.28", - "stop": "07:30.12", - "speaker": "Student", - "dialogue": "Let's say, Um, that's fifty miles." - }, - { - "start": "07:30.28", - "stop": "07:31.84", - "speaker": "Student", - "dialogue": "This could also be fifty miles." - }, - { - "start": "07:31.92", - "stop": "07:33.00", - "speaker": "Student", - "dialogue": "It's distance traveler." - }, - { - "start": "07:33.08", - "stop": "07:35.80", - "speaker": "Student", - "dialogue": "It doesn't matter how you're Um, it's not." - }, - { - "start": "07:36.00", - "stop": "07:38.32", - "speaker": "Student", - "dialogue": "It doesn't matter how you're um, um, traveling." - }, - { - "start": "07:38.48", - "stop": "07:40.84", - "speaker": "Student", - "dialogue": "You're still traveling, Um, fifty miles." - }, - { - "start": "07:42.12", - "stop": "07:46.76", - "speaker": "Tutor", - "dialogue": "Okay and C to D, I'm sorry, D to E is Kirby." - }, - { - "start": "07:47.36", - "stop": "07:50.48", - "speaker": "Tutor", - "dialogue": "Does that mean that the road over here is going to be Urvey, or could the road be straight?" - }, - { - "start": "07:51.36", - "stop": "07:52.52", - "speaker": "Student", - "dialogue": "It could, it could be straight." - }, - { - "start": "07:52.92", - "stop": "07:56.84", - "speaker": "Student", - "dialogue": "it, cu, it could the road could be um, however, um shaped." - }, - { - "start": "07:56.88", - "stop": "08:03.36", - "speaker": "Student", - "dialogue": "It wants still going to be traveling, Um, however, um, this chart says." - }, - { - "start": "08:05.32", - "stop": "08:13.20", - "speaker": "Tutor", - "dialogue": "So this blue line is keeping track of the relationship between how distance is changing and how time is changing together." - }, - { - "start": "08:14.68", - "stop": "08:14.80", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "08:14.88", - "stop": "08:16.28", - "speaker": "Tutor", - "dialogue": "You're going to create a graph." - }, - { - "start": "08:18.00", - "stop": "08:18.16", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "08:21.32", - "stop": "08:23.92", - "speaker": "Tutor", - "dialogue": "In your graph, what are we going to be keeping track of?" - }, - { - "start": "08:25.08", - "stop": "08:27.20", - "speaker": "Student", - "dialogue": "Um, the speed?" - }, - { - "start": "08:30.44", - "stop": "08:30.72", - "speaker": "Tutor", - "dialogue": "Over." - }, - { - "start": "08:30.84", - "stop": "08:31.12", - "speaker": "Student", - "dialogue": "Time." - }, - { - "start": "08:32.28", - "stop": "08:42.16", - "speaker": "Tutor", - "dialogue": "So time will be changing, Speed will be changing, and I'd like you to sketch a graph for how those two things are changing in relation to each other." - }, - { - "start": "09:15.44", - "stop": "09:15.48", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "09:48.72", - "stop": "09:48.92", - "speaker": "Tutor", - "dialogue": "Did?" - }, - { - "start": "09:48.96", - "stop": "09:49.00", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "09:49.04", - "stop": "09:49.28", - "speaker": "Tutor", - "dialogue": "See?" - }, - { - "start": "09:49.28", - "stop": "09:49.44", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "09:49.44", - "stop": "09:50.60", - "speaker": "Tutor", - "dialogue": "It added your textbox." - }, - { - "start": "09:51.32", - "stop": "09:53.92", - "speaker": "Tutor", - "dialogue": "Yeah, okay, then you can click on it and move it if you want it." - }, - { - "start": "09:55.88", - "stop": "09:56.12", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "09:56.56", - "stop": "09:56.60", - "speaker": "Student", - "dialogue": "yeah." - }, - { - "start": "09:58.00", - "stop": "09:58.20", - "speaker": "Tutor", - "dialogue": "There." - }, - { - "start": "09:58.24", - "stop": "09:58.28", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "09:58.36", - "stop": "09:59.88", - "speaker": "Tutor", - "dialogue": "Is it kind of hides in that grass?" - }, - { - "start": "10:00.56", - "stop": "10:02.52", - "speaker": "Student", - "dialogue": "Yeah, didn't notice." - }, - { - "start": "10:18.92", - "stop": "10:19.16", - "speaker": "Tutor", - "dialogue": "Em." - }, - { - "start": "10:19.28", - "stop": "10:19.32", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "10:19.40", - "stop": "10:23.40", - "speaker": "Tutor", - "dialogue": "You have your top arrow selected that'll help you grab it and move it." - }, - { - "start": "10:54.88", - "stop": "10:55.04", - "speaker": "Student", - "dialogue": "They." - }, - { - "start": "11:54.88", - "stop": "14:03.28", - "speaker": "Tutor", - "dialogue": "Yes, Tf" - }, - { - "start": "14:41.56", - "stop": "14:41.88", - "speaker": "Tutor", - "dialogue": "allright." - }, - { - "start": "14:41.92", - "stop": "14:41.96", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "14:42.08", - "stop": "14:42.24", - "speaker": "Tutor", - "dialogue": "Think." - }, - { - "start": "14:42.48", - "stop": "14:42.52", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "14:42.88", - "stop": "14:42.92", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "14:43.08", - "stop": "14:43.68", - "speaker": "Student", - "dialogue": "Think that's it." - }, - { - "start": "14:45.84", - "stop": "14:51.28", - "speaker": "Tutor", - "dialogue": "So, tell me about your graph and okay, Sostan how it matches with the map." - }, - { - "start": "14:52.80", - "stop": "14:53.20", - "speaker": "Student", - "dialogue": "The map." - }, - { - "start": "14:53.56", - "stop": "14:56.20", - "speaker": "Student", - "dialogue": "Yeah, okay, so um, So" - }, - { - "start": "14:56.44", - "stop": "14:56.60", - "speaker": "Student", - "dialogue": "from?" - }, - { - "start": "14:56.92", - "stop": "15:01.28", - "speaker": "Student", - "dialogue": "so I ploted earlier, Um, A and b. This represents Um the first hour." - }, - { - "start": "15:01.96", - "stop": "15:05.48", - "speaker": "Student", - "dialogue": "Um, they go, Um, fifty miles over one hour." - }, - { - "start": "15:05.96", - "stop": "15:11.32", - "speaker": "Student", - "dialogue": "So Um, using basic rithmetic, I can tell that it's Um, fifty miles an hour, which is the speed." - }, - { - "start": "15:11.60", - "stop": "15:24.00", - "speaker": "Student", - "dialogue": "So for the first hour it's since, and from the graph you can see, it's linear, so it's gonna be constant from Um, from the from for the first hour, So it's goning to stay at fifty miles per hour for the first hour, So that's what I did." - }, - { - "start": "15:24.20", - "stop": "15:25.08", - "speaker": "Student", - "dialogue": "That's what I did here." - }, - { - "start": "15:27.80", - "stop": "15:27.84", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "15:28.12", - "stop": "15:28.60", - "speaker": "Student", - "dialogue": "The speed?" - }, - { - "start": "15:31.28", - "stop": "15:31.44", - "speaker": "Tutor", - "dialogue": "That's" - }, - { - "start": "15:31.52", - "stop": "15:31.72", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "15:31.96", - "stop": "15:34.52", - "speaker": "Student", - "dialogue": "it's kind of um, straight here for my graph." - }, - { - "start": "15:34.88", - "stop": "15:35.60", - "speaker": "Student", - "dialogue": "For the first hour." - }, - { - "start": "15:35.76", - "stop": "15:37.80", - "speaker": "Student", - "dialogue": "it's staying at fifty miles per hour." - }, - { - "start": "15:40.36", - "stop": "15:40.40", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "15:40.52", - "stop": "15:48.72", - "speaker": "Student", - "dialogue": "Then for um, B to c, Um, I, S, as I said earlier, Um, The the vehicle doesn't move, Um, it just stays there." - }, - { - "start": "15:48.84", - "stop": "15:56.84", - "speaker": "Student", - "dialogue": "So that's why I put, Um, that's why I had this from one hour to one and a half hours be'cause, this this one and a half hours" - }, - { - "start": "15:56.92", - "stop": "16:00.64", - "speaker": "Student", - "dialogue": "here, Um, I had to stay at zero miles per zero miles per hour." - }, - { - "start": "16:03.60", - "stop": "16:03.64", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "16:03.76", - "stop": "16:08.96", - "speaker": "Student", - "dialogue": "Then from C to d, Um, that's from one and a half hours to Um, to two and a half hours." - }, - { - "start": "16:09.76", - "stop": "16:09.88", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "16:10.28", - "stop": "16:19.68", - "speaker": "Student", - "dialogue": "it looks to be about um, fifty miles per hour again because a hundred minus fifty, that's fifty and fifty over one is fifty over one's." - }, - { - "start": "16:19.76", - "stop": "16:30.88", - "speaker": "Student", - "dialogue": "fifty So looks to be, and it also uh looks to be linear too, so it looks to be constant, but fifty miles per hour again, so from one and a half hours to two, two and a half hours." - }, - { - "start": "16:31.60", - "stop": "16:35.64", - "speaker": "Student", - "dialogue": "Um, it stayed at, Stayed at fifty miles per hour again." - }, - { - "start": "16:36.92", - "stop": "16:51.04", - "speaker": "Student", - "dialogue": "That's that's C to D and then from d to E. as I said earlier, It's kind of like V. It's kind of variable, Um, the the slope, so it's like going at different speeds over time, So that's why I have kind of" - }, - { - "start": "16:51.16", - "stop": "17:07.00", - "speaker": "Student", - "dialogue": "like this, this weird, like, kind of like air, regular, um speed over time for between two and a half hours and three and a half hours, and an f, um from e to f, from e to f, Um." - }, - { - "start": "17:07.36", - "stop": "17:15.96", - "speaker": "Student", - "dialogue": "Since it W, it wasn't perfectly um linear, but that's why I had to like, kind of like bend a little bit before reaching before reaching." - }, - { - "start": "17:16.08", - "stop": "17:20.12", - "speaker": "Student", - "dialogue": "It looks to be Um, fifty miles per hour at the end end point there." - }, - { - "start": "17:21.24", - "stop": "17:24.72", - "speaker": "Tutor", - "dialogue": "And how did you know that a F was fifty miles per hour?" - }, - { - "start": "17:33.24", - "stop": "17:33.44", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "17:34.16", - "stop": "17:34.32", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "17:35.12", - "stop": "17:39.64", - "speaker": "Student", - "dialogue": "I actually didn't I, I think, Um, I think I made a mistake there." - }, - { - "start": "17:43.28", - "stop": "17:43.52", - "speaker": "Tutor", - "dialogue": "Wait." - }, - { - "start": "17:43.76", - "stop": "17:44.12", - "speaker": "Student", - "dialogue": "I didn't." - }, - { - "start": "17:44.32", - "stop": "17:44.64", - "speaker": "Student", - "dialogue": "I didn't." - }, - { - "start": "17:44.80", - "stop": "17:46.36", - "speaker": "Student", - "dialogue": "Um, do, I didn't do a math for it." - }, - { - "start": "17:46.56", - "stop": "17:46.84", - "speaker": "Student", - "dialogue": "Can I have?" - }, - { - "start": "17:47.00", - "stop": "17:48.08", - "speaker": "Student", - "dialogue": "Can I have a second to think?" - }, - { - "start": "18:03.28", - "stop": "18:03.48", - "speaker": "Tutor", - "dialogue": "Can?" - }, - { - "start": "18:03.52", - "stop": "18:03.56", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "18:03.64", - "stop": "18:03.92", - "speaker": "Tutor", - "dialogue": "Actually." - }, - { - "start": "18:04.20", - "stop": "18:04.48", - "speaker": "Student", - "dialogue": "Change." - }, - { - "start": "18:04.64", - "stop": "18:04.68", - "speaker": "Tutor", - "dialogue": "My." - }, - { - "start": "18:04.92", - "stop": "18:05.56", - "speaker": "Student", - "dialogue": "Graph a bit." - }, - { - "start": "18:06.04", - "stop": "18:09.96", - "speaker": "Tutor", - "dialogue": "Let me ask you that, are you allowed to change your mind and change your work in math?" - }, - { - "start": "18:11.16", - "stop": "18:11.28", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "18:13.76", - "stop": "18:13.80", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "18:14.04", - "stop": "18:14.84", - "speaker": "Student", - "dialogue": "Suppose so." - }, - { - "start": "18:15.60", - "stop": "18:16.84", - "speaker": "Tutor", - "dialogue": "Absolutely you are." - }, - { - "start": "18:17.04", - "stop": "18:22.64", - "speaker": "Tutor", - "dialogue": "Yeah, it's just like if you're writing a paper, or if you're creating any artwork, you can evolve it and change it as you go." - }, - { - "start": "18:22.92", - "stop": "18:23.68", - "speaker": "Tutor", - "dialogue": "That's the beauty of B." - }, - { - "start": "18:27.44", - "stop": "18:27.48", - "speaker": "Student", - "dialogue": "St." - }, - { - "start": "18:33.56", - "stop": "18:33.60", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "18:33.76", - "stop": "18:33.80", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "18:33.92", - "stop": "18:34.80", - "speaker": "Tutor", - "dialogue": "You want to change it to." - }, - { - "start": "18:35.68", - "stop": "18:41.28", - "speaker": "Student", - "dialogue": "I want to change E to f, Um, about like forty miles per hour instead of fifty." - }, - { - "start": "18:42.52", - "stop": "18:43.24", - "speaker": "Tutor", - "dialogue": "Why? K?" - }, - { - "start": "18:44.40", - "stop": "18:50.28", - "speaker": "Student", - "dialogue": "Because, because um, it looks like the distance traveled, Um is twenty miles, twenty miles per hour." - }, - { - "start": "18:50.32", - "stop": "18:52.48", - "speaker": "Student", - "dialogue": "Because the scale's going up by ten each." - }, - { - "start": "18:52.80", - "stop": "19:15.64", - "speaker": "Student", - "dialogue": "for like each grid, so it's a hundred, ten hundred, twenty, undre, thirty hundred, forty hundred and fifty from E. F. They travel um, twenty miles per hour, and it's over thirty minutes, Um, three point five hours to four hours, So if you do, um, if you do twenty twenty miles over, um, twenty miles over, Um, zero point five hours, that would be forty, um, forty miles per hour." - }, - { - "start": "19:19.28", - "stop": "19:19.32", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "19:19.76", - "stop": "19:29.84", - "speaker": "Student", - "dialogue": "It'd be like not like really, like straight again, 'cause um, 'cause there was like there was not really exactly linyard, but there was like a little curve at the start." - }, - { - "start": "19:31.88", - "stop": "19:31.92", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "19:32.12", - "stop": "19:33.88", - "speaker": "Student", - "dialogue": "It would be kind of like that and I can't." - }, - { - "start": "19:34.16", - "stop": "19:38.16", - "speaker": "Student", - "dialogue": "Um, sorry, I can't really draw perfectly on." - }, - { - "start": "19:38.96", - "stop": "19:40.56", - "speaker": "Student", - "dialogue": "And this, I know it's kind of sloppy." - }, - { - "start": "19:40.84", - "stop": "19:42.08", - "speaker": "Tutor", - "dialogue": "No need to apologize." - }, - { - "start": "19:42.64", - "stop": "19:46.48", - "speaker": "Tutor", - "dialogue": "I follow your thinking and this is a sketch and you're explaining why you're putting what?" - }, - { - "start": "19:46.68", - "stop": "19:46.88", - "speaker": "Tutor", - "dialogue": "where?" - }, - { - "start": "19:47.00", - "stop": "19:47.92", - "speaker": "Tutor", - "dialogue": "So this is beautiful." - }, - { - "start": "19:48.68", - "stop": "19:49.32", - "speaker": "Student", - "dialogue": "Okay, thank you." - }, - { - "start": "19:50.04", - "stop": "19:53.64", - "speaker": "Tutor", - "dialogue": "Okay, so I follow your forty Now Now I have another clarifying question." - }, - { - "start": "19:55.36", - "stop": "19:55.40", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "19:55.64", - "stop": "20:00.36", - "speaker": "Tutor", - "dialogue": "See, for example, that point B on the map is located here." - }, - { - "start": "20:01.24", - "stop": "20:03.08", - "speaker": "Tutor", - "dialogue": "I see, point B is located here." - }, - { - "start": "20:03.28", - "stop": "20:10.76", - "speaker": "Tutor", - "dialogue": "When we're talking about the relationship of miles to ours, Maor, would point B be located on your graph?" - }, - { - "start": "20:12.44", - "stop": "20:14.36", - "speaker": "Student", - "dialogue": "Um, it would be located." - }, - { - "start": "20:14.68", - "stop": "20:18.20", - "speaker": "Student", - "dialogue": "Um, I would say, Um, I would say." - }, - { - "start": "20:20.00", - "stop": "20:20.28", - "speaker": "Tutor", - "dialogue": "Here." - }, - { - "start": "20:21.24", - "stop": "20:24.40", - "speaker": "Student", - "dialogue": "But any, I think, wait, I think it could be." - }, - { - "start": "20:26.88", - "stop": "20:26.92", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "20:27.04", - "stop": "20:33.72", - "speaker": "Student", - "dialogue": "Think it could be any any point from from this sline here." - }, - { - "start": "20:35.52", - "stop": "20:35.84", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "20:36.00", - "stop": "20:37.92", - "speaker": "Student", - "dialogue": "It, it's at, It's at one hour." - }, - { - "start": "20:40.92", - "stop": "20:46.56", - "speaker": "Tutor", - "dialogue": "So are we allowed to have a point in all of those multiple infinite spots?" - }, - { - "start": "20:48.44", - "stop": "20:49.60", - "speaker": "Tutor", - "dialogue": "All of that would be point B." - }, - { - "start": "20:57.88", - "stop": "20:57.92", - "speaker": "Student", - "dialogue": "Not." - }, - { - "start": "20:58.92", - "stop": "20:58.96", - "speaker": "Tutor", - "dialogue": "Not." - }, - { - "start": "20:59.44", - "stop": "21:00.60", - "speaker": "Student", - "dialogue": "Quite sure?" - }, - { - "start": "21:01.08", - "stop": "21:02.04", - "speaker": "Student", - "dialogue": "Ah, that's cool." - }, - { - "start": "21:03.56", - "stop": "21:06.24", - "speaker": "Tutor", - "dialogue": "Not quite sure means your brain is going to say hum." - }, - { - "start": "21:06.64", - "stop": "21:07.76", - "speaker": "Tutor", - "dialogue": "let me try to make sense of." - }, - { - "start": "21:07.88", - "stop": "21:10.56", - "speaker": "Student", - "dialogue": "This, you're making me second guess myself." - }, - { - "start": "21:11.92", - "stop": "21:13.64", - "speaker": "Tutor", - "dialogue": "I don't want to make you second guess." - }, - { - "start": "21:13.84", - "stop": "21:15.48", - "speaker": "Tutor", - "dialogue": "I want to make you think deeper." - }, - { - "start": "21:18.20", - "stop": "21:18.84", - "speaker": "Student", - "dialogue": "Probably Ts." - }, - { - "start": "21:18.96", - "stop": "21:19.76", - "speaker": "Student", - "dialogue": "something wrong thing." - }, - { - "start": "21:20.80", - "stop": "21:22.36", - "speaker": "Tutor", - "dialogue": "Remember what we talked about in the beginning." - }, - { - "start": "21:23.16", - "stop": "21:26.72", - "speaker": "Tutor", - "dialogue": "If I ask you a question, it doesn't necessarily mean you did something wrong." - }, - { - "start": "21:26.88", - "stop": "21:30.24", - "speaker": "Tutor", - "dialogue": "It just means I want you to explain or go deeper in your thinking." - }, - { - "start": "21:40.56", - "stop": "21:40.72", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "21:40.92", - "stop": "21:40.96", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "21:41.16", - "stop": "21:41.20", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "21:41.36", - "stop": "21:41.64", - "speaker": "Tutor", - "dialogue": "Point." - }, - { - "start": "21:41.76", - "stop": "21:42.68", - "speaker": "Student", - "dialogue": "B, a point." - }, - { - "start": "21:42.72", - "stop": "21:43.88", - "speaker": "Student", - "dialogue": "B, it looks it looks." - }, - { - "start": "21:44.00", - "stop": "21:45.32", - "speaker": "Student", - "dialogue": "uh, I think it could be." - }, - { - "start": "21:45.64", - "stop": "21:47.28", - "speaker": "Student", - "dialogue": "Um, wait." - }, - { - "start": "21:48.56", - "stop": "21:48.60", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "21:48.68", - "stop": "21:48.92", - "speaker": "Student", - "dialogue": "Think it." - }, - { - "start": "21:49.24", - "stop": "21:55.96", - "speaker": "Student", - "dialogue": "I think it could be Um, either fifty miles per hour or is zero miles per hour." - }, - { - "start": "21:57.60", - "stop": "21:59.52", - "speaker": "Tutor", - "dialogue": "Point B can be both of those things at the same." - }, - { - "start": "21:59.56", - "stop": "22:01.44", - "speaker": "Student", - "dialogue": "Time, not H." - }, - { - "start": "22:06.16", - "stop": "22:06.40", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "22:15.04", - "stop": "22:15.28", - "speaker": "Student", - "dialogue": "Wait." - }, - { - "start": "22:15.40", - "stop": "22:15.60", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "22:15.72", - "stop": "22:20.44", - "speaker": "Student", - "dialogue": "I, I think I think point B, um is is zero miles per hourcause." - }, - { - "start": "22:20.64", - "stop": "22:22.60", - "speaker": "Student", - "dialogue": "Uh, point B. It's when it starts from." - }, - { - "start": "22:22.88", - "stop": "22:31.20", - "speaker": "Student", - "dialogue": "it's it's when it starts to like to like to like, go to like a di, a direct stop and go like ya like from B to C. They don't Um." - }, - { - "start": "22:31.36", - "stop": "22:37.72", - "speaker": "Student", - "dialogue": "It doesn't change speed, so from B to C. when when you start at B, you start um, like you, just like." - }, - { - "start": "22:37.92", - "stop": "22:40.60", - "speaker": "Student", - "dialogue": "Stop starting from B all the way to C. So I would." - }, - { - "start": "22:40.72", - "stop": "22:41.04", - "speaker": "Student", - "dialogue": "I would." - }, - { - "start": "22:41.12", - "stop": "22:45.56", - "speaker": "Student", - "dialogue": "I would say, I would say, Um, I would say it's zero miles prowd." - }, - { - "start": "22:46.64", - "stop": "22:48.60", - "speaker": "Tutor", - "dialogue": "So you are saying B?" - }, - { - "start": "22:51.88", - "stop": "22:52.12", - "speaker": "Student", - "dialogue": "Would?" - }, - { - "start": "22:52.16", - "stop": "22:52.96", - "speaker": "Tutor", - "dialogue": "Be located here." - }, - { - "start": "22:53.48", - "stop": "22:53.52", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "22:55.28", - "stop": "22:56.92", - "speaker": "Tutor", - "dialogue": "What would this point be called?" - }, - { - "start": "22:58.28", - "stop": "22:58.40", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "23:01.52", - "stop": "23:01.68", - "speaker": "Tutor", - "dialogue": "Can?" - }, - { - "start": "23:01.80", - "stop": "23:02.72", - "speaker": "Student", - "dialogue": "I remove that." - }, - { - "start": "23:05.16", - "stop": "23:06.16", - "speaker": "Tutor", - "dialogue": "Why do you want to remove it?" - }, - { - "start": "23:06.88", - "stop": "23:12.08", - "speaker": "Student", - "dialogue": "Because, um, I, now, I don't think you're going fifty miles per hour at Point B." - }, - { - "start": "23:14.24", - "stop": "23:17.52", - "speaker": "Tutor", - "dialogue": "So it's kind of a a deep question right." - }, - { - "start": "23:17.68", - "stop": "23:31.96", - "speaker": "Tutor", - "dialogue": "There's a lot of de whyes You could argue this because in this real situation this means that the car is going fifty miles an hour and then at this pointo." - }, - { - "start": "23:32.40", - "stop": "23:32.44", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "23:32.96", - "stop": "23:33.96", - "speaker": "Tutor", - "dialogue": "Instantly stops." - }, - { - "start": "23:35.16", - "stop": "23:35.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "23:35.92", - "stop": "23:37.56", - "speaker": "Tutor", - "dialogue": "Does the car instantly stop?" - }, - { - "start": "23:40.56", - "stop": "23:41.80", - "speaker": "Student", - "dialogue": "Um, I don't." - }, - { - "start": "23:45.04", - "stop": "23:45.60", - "speaker": "Tutor", - "dialogue": "Probably." - }, - { - "start": "23:45.84", - "stop": "23:45.88", - "speaker": "Student", - "dialogue": "In." - }, - { - "start": "23:46.96", - "stop": "23:47.48", - "speaker": "Tutor", - "dialogue": "Instantly." - }, - { - "start": "23:48.24", - "stop": "23:49.88", - "speaker": "Student", - "dialogue": "Stops, the graph, doesn't" - }, - { - "start": "23:50.00", - "stop": "23:54.84", - "speaker": "Student", - "dialogue": "The graph doesn't quite show that it Um, gradually stops." - }, - { - "start": "23:55.00", - "stop": "23:55.44", - "speaker": "Tutor", - "dialogue": "You're right." - }, - { - "start": "23:55.48", - "stop": "23:55.96", - "speaker": "Tutor", - "dialogue": "it doesn't" - }, - { - "start": "23:56.36", - "stop": "23:58.28", - "speaker": "Tutor", - "dialogue": "It shows that it instantly goes to zero." - }, - { - "start": "23:58.88", - "stop": "24:06.32", - "speaker": "Tutor", - "dialogue": "Yeah, so this line here when you connected this, and that's when you said it wold be all the point." - }, - { - "start": "24:06.44", - "stop": "24:16.76", - "speaker": "Tutor", - "dialogue": "B. That's meaning that the car is instantly stopping and travelling sixty mi or fifty miles an hour at the exact same time." - }, - { - "start": "24:17.84", - "stop": "24:17.88", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "24:18.96", - "stop": "24:19.68", - "speaker": "Tutor", - "dialogue": "Right, right?" - }, - { - "start": "24:25.80", - "stop": "24:26.20", - "speaker": "Student", - "dialogue": "Interesting." - }, - { - "start": "24:26.28", - "stop": "24:26.64", - "speaker": "Tutor", - "dialogue": "Isn't it?" - }, - { - "start": "24:28.12", - "stop": "24:28.32", - "speaker": "Student", - "dialogue": "Very." - }, - { - "start": "24:30.64", - "stop": "24:33.28", - "speaker": "Tutor", - "dialogue": "So sometimes like you, chose the grapht to be here." - }, - { - "start": "24:35.40", - "stop": "24:35.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "24:35.72", - "stop": "24:37.16", - "speaker": "Tutor", - "dialogue": "So you're saying point B is here?" - }, - { - "start": "24:38.28", - "stop": "24:38.48", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "24:38.72", - "stop": "24:41.84", - "speaker": "Tutor", - "dialogue": "And I'm to let me see if I can make this a little bit thicker." - }, - { - "start": "24:44.76", - "stop": "24:46.84", - "speaker": "Tutor", - "dialogue": "And if you draw this with an open circle." - }, - { - "start": "24:48.40", - "stop": "24:48.64", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "24:49.04", - "stop": "24:50.72", - "speaker": "Tutor", - "dialogue": "Yeah, have you ever seen anything like that?" - }, - { - "start": "24:51.12", - "stop": "24:51.16", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "24:51.52", - "stop": "24:51.92", - "speaker": "Student", - "dialogue": "Yeah, yeah." - }, - { - "start": "24:52.28", - "stop": "24:53.04", - "speaker": "Tutor", - "dialogue": "What does that mean?" - }, - { - "start": "24:54.24", - "stop": "25:10.76", - "speaker": "Student", - "dialogue": "Um, that doesn't include Um, fifty miles per hour at one hour, But if if you, um, darken the circle, um at um over you're you're saying that it's um, A's r, moss P hour at a, um one hour kin, it's kind of like a peace wise function." - }, - { - "start": "25:11.00", - "stop": "25:26.12", - "speaker": "Tutor", - "dialogue": "Ah, yeah, so it's saying A that the car is traveling fifty miles an hour up to and infinitely close to point B. But it doesn't include point B, because you made the decision that point B is actually when the car is stopped." - }, - { - "start": "25:26.76", - "stop": "25:26.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "25:27.64", - "stop": "25:32.56", - "speaker": "Tutor", - "dialogue": "And so, in a peace wise, do I have to have this problem of this line right here." - }, - { - "start": "25:33.88", - "stop": "25:35.60", - "speaker": "Student", - "dialogue": "Um, I don't." - }, - { - "start": "25:35.88", - "stop": "25:36.48", - "speaker": "Student", - "dialogue": "I don't think so." - }, - { - "start": "25:36.88", - "stop": "25:40.68", - "speaker": "Student", - "dialogue": "Yeah, you can just unt of like, like just eras that, I guess." - }, - { - "start": "25:40.88", - "stop": "25:47.56", - "speaker": "Tutor", - "dialogue": "Yeah, if you erased that, that takes care of that that when your brain was like, you're making me second go sor." - }, - { - "start": "25:47.60", - "stop": "25:48.04", - "speaker": "Tutor", - "dialogue": "I'm going like." - }, - { - "start": "25:48.52", - "stop": "25:49.12", - "speaker": "Student", - "dialogue": "Because wait." - }, - { - "start": "25:49.60", - "stop": "25:53.28", - "speaker": "Tutor", - "dialogue": "How can A that line include point B infinitely across it?" - }, - { - "start": "25:54.16", - "stop": "25:54.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "25:55.08", - "stop": "26:00.96", - "speaker": "Tutor", - "dialogue": "And that's what peacewise functions help us make sense of or draw situations like that." - }, - { - "start": "26:02.44", - "stop": "26:03.20", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "26:03.92", - "stop": "26:03.96", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "26:05.16", - "stop": "26:06.96", - "speaker": "Tutor", - "dialogue": "Cool and then up here." - }, - { - "start": "26:07.52", - "stop": "26:09.28", - "speaker": "Tutor", - "dialogue": "How come this one is jaggedy?" - }, - { - "start": "26:10.40", - "stop": "26:16.40", - "speaker": "Student", - "dialogue": "Causecause from because that that was Whe, that was from two and a half hours to three and a half hours, Um." - }, - { - "start": "26:16.52", - "stop": "26:18.08", - "speaker": "Student", - "dialogue": "That was when Um them." - }, - { - "start": "26:18.84", - "stop": "26:22.84", - "speaker": "Student", - "dialogue": "The slopes were kind of like irregular, and Um, not constant." - }, - { - "start": "26:22.92", - "stop": "26:30.16", - "speaker": "Student", - "dialogue": "It was like changing, Um, constantly changing over d E, which is two and a half hours to three and a half hours." - }, - { - "start": "26:30.20", - "stop": "26:35.24", - "speaker": "Student", - "dialogue": "So that's why that's why I did from two and a half hours to three and a half hours be'cause umcause." - }, - { - "start": "26:35.72", - "stop": "26:41.48", - "speaker": "Student", - "dialogue": "If if the if the slowe keeps on changing from d v E, then the speed Um will keep on changing from Dv." - }, - { - "start": "26:42.68", - "stop": "26:45.88", - "speaker": "Tutor", - "dialogue": "Cool, so I haven't you have used these words a lot." - }, - { - "start": "26:47.20", - "stop": "26:49.36", - "speaker": "Student", - "dialogue": "Hm, um, right." - }, - { - "start": "26:50.16", - "stop": "26:53.60", - "speaker": "Tutor", - "dialogue": "Speed relationship between those three things." - }, - { - "start": "26:54.44", - "stop": "26:55.20", - "speaker": "Student", - "dialogue": "Could you it?" - }, - { - "start": "26:55.56", - "stop": "26:56.08", - "speaker": "Student", - "dialogue": "you're you're?" - }, - { - "start": "26:56.20", - "stop": "26:56.24", - "speaker": "Student", - "dialogue": "you?" - }, - { - "start": "26:56.60", - "stop": "26:57.20", - "speaker": "Student", - "dialogue": "I, No." - }, - { - "start": "26:57.64", - "stop": "26:58.52", - "speaker": "Tutor", - "dialogue": "Can you hear me now?" - }, - { - "start": "26:59.12", - "stop": "27:00.40", - "speaker": "Student", - "dialogue": "Oh yeah, yeah, you've." - }, - { - "start": "27:00.56", - "stop": "27:01.96", - "speaker": "Tutor", - "dialogue": "Used those three words a lot." - }, - { - "start": "27:02.76", - "stop": "27:05.36", - "speaker": "Tutor", - "dialogue": "Mhm, What's the relationship between those three words?" - }, - { - "start": "27:06.44", - "stop": "27:11.72", - "speaker": "Student", - "dialogue": "Um, the slope the slope, Um, so I use Um, a b um as a exam." - }, - { - "start": "27:11.92", - "stop": "27:23.84", - "speaker": "Student", - "dialogue": "So the slope of a B, Um that Um, the rate of change Um from A to B. It's also the slope of a B, which is also the speed Um from A to B." - }, - { - "start": "27:25.04", - "stop": "27:28.08", - "speaker": "Tutor", - "dialogue": "So slope rate and speed are all the same thing." - }, - { - "start": "27:29.12", - "stop": "27:29.24", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "27:32.48", - "stop": "27:32.52", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "27:32.64", - "stop": "27:33.80", - "speaker": "Student", - "dialogue": "Wouldn't say it's" - }, - { - "start": "27:34.20", - "stop": "27:37.12", - "speaker": "Student", - "dialogue": "It's all the same thing, but they're really similar." - }, - { - "start": "27:37.60", - "stop": "27:38.80", - "speaker": "Student", - "dialogue": "What's in this scenario?" - }, - { - "start": "27:39.20", - "stop": "27:39.44", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "27:39.76", - "stop": "27:41.00", - "speaker": "Tutor", - "dialogue": "What's different about them?" - }, - { - "start": "27:42.68", - "stop": "27:42.72", - "speaker": "Student", - "dialogue": "Er." - }, - { - "start": "27:46.16", - "stop": "27:46.20", - "speaker": "Tutor", - "dialogue": "Er." - }, - { - "start": "27:48.24", - "stop": "27:48.72", - "speaker": "Student", - "dialogue": "I can't." - }, - { - "start": "27:49.84", - "stop": "27:50.48", - "speaker": "Student", - "dialogue": "I don't, really." - }, - { - "start": "27:50.76", - "stop": "27:52.48", - "speaker": "Student", - "dialogue": "I. I can't really distinguish that." - }, - { - "start": "27:53.96", - "stop": "27:54.84", - "speaker": "Tutor", - "dialogue": "Yeah, it's interesting." - }, - { - "start": "27:55.00", - "stop": "28:00.72", - "speaker": "Tutor", - "dialogue": "Huh, They are all something similar and you've talked about finding the slope." - }, - { - "start": "28:02.08", - "stop": "28:02.24", - "speaker": "Student", - "dialogue": "Which?" - }, - { - "start": "28:02.36", - "stop": "28:04.84", - "speaker": "Tutor", - "dialogue": "Can also be described as what's the rate of change?" - }, - { - "start": "28:05.68", - "stop": "28:11.88", - "speaker": "Tutor", - "dialogue": "And if the rate of change is constant, then we know that it is a linear or a line." - }, - { - "start": "28:13.56", - "stop": "28:13.60", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "28:13.76", - "stop": "28:25.56", - "speaker": "Tutor", - "dialogue": "In this particular situation, this blue line that has a slope of fifty, that has a constant rate, also describes the speed." - }, - { - "start": "28:28.40", - "stop": "28:28.44", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "28:28.68", - "stop": "28:30.88", - "speaker": "Tutor", - "dialogue": "We can see the speed on this graph." - }, - { - "start": "28:32.00", - "stop": "28:34.00", - "speaker": "Tutor", - "dialogue": "The speed is the blue line." - }, - { - "start": "28:35.92", - "stop": "28:35.96", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "28:39.24", - "stop": "28:51.24", - "speaker": "Tutor", - "dialogue": "And you talked about it in words, because you would say it is constant, And then it stops and then it varies that it is the speed." - }, - { - "start": "28:52.36", - "stop": "28:53.36", - "speaker": "Student", - "dialogue": "A, Ok." - }, - { - "start": "28:54.40", - "stop": "29:05.80", - "speaker": "Tutor", - "dialogue": "The center of our graph always shows a picture and describes the relationship between how the two variables that are changing" - }, - { - "start": "29:05.88", - "stop": "29:11.12", - "speaker": "Tutor", - "dialogue": "because time is changing, distance is changing and they are changing in relation to each other." - }, - { - "start": "29:12.12", - "stop": "29:16.88", - "speaker": "Tutor", - "dialogue": "The way they are changing in relation to each other is shown with that graph which you did hear." - }, - { - "start": "29:17.16", - "stop": "29:24.44", - "speaker": "Tutor", - "dialogue": "also in this particular situation, the it that it is showing is speed." - }, - { - "start": "29:25.56", - "stop": "29:25.60", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "29:27.76", - "stop": "29:27.80", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "29:28.08", - "stop": "29:29.52", - "speaker": "Student", - "dialogue": "That that clears up a bit." - }, - { - "start": "29:30.88", - "stop": "29:31.64", - "speaker": "Tutor", - "dialogue": "Isn't it cool?" - }, - { - "start": "29:32.48", - "stop": "29:32.52", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "29:33.44", - "stop": "29:36.12", - "speaker": "Tutor", - "dialogue": "Love it and I loved your thinking over here when you went." - }, - { - "start": "29:36.44", - "stop": "29:44.40", - "speaker": "Tutor", - "dialogue": "Mm. wait, huh, right, and it was helping you make a sense of the need for what we describe as a peacewise." - }, - { - "start": "29:44.48", - "stop": "29:45.28", - "speaker": "Student", - "dialogue": "Function, yeah." - }, - { - "start": "29:47.80", - "stop": "29:48.12", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "29:49.04", - "stop": "29:49.64", - "speaker": "Student", - "dialogue": "Mhm, yeah." - }, - { - "start": "29:50.04", - "stop": "29:51.40", - "speaker": "Tutor", - "dialogue": "All right, do you?" - }, - { - "start": "29:51.96", - "stop": "29:56.68", - "speaker": "Tutor", - "dialogue": "so you know that you're helping us think through this platform and you know learning in this way?" - }, - { - "start": "29:57.32", - "stop": "29:59.36", - "speaker": "Tutor", - "dialogue": "Yeah, what feedback do you have for us?" - }, - { - "start": "29:59.56", - "stop": "30:00.36", - "speaker": "Tutor", - "dialogue": "What was helpful?" - }, - { - "start": "30:00.60", - "stop": "30:03.64", - "speaker": "Tutor", - "dialogue": "What wasn't helpful, what could be improved?" - }, - { - "start": "30:03.96", - "stop": "30:04.88", - "speaker": "Tutor", - "dialogue": "What was it like for you?" - }, - { - "start": "30:05.92", - "stop": "30:08.44", - "speaker": "Student", - "dialogue": "Um, I think I think it was Um, pretty good." - }, - { - "start": "30:08.68", - "stop": "30:20.76", - "speaker": "Student", - "dialogue": "Um, like, like when when I was walking through my explanations, Um, you, you as um, questions like, kind of like construct the feedback on what, Um, what you weren't like?" - }, - { - "start": "30:20.92", - "stop": "30:38.32", - "speaker": "Student", - "dialogue": "you weren't so clear about on my explanation and the, And it helped me make sense of what I was unclear about as well, so I really, I really liked theum the like, like constructive feedback mechanism, Um that that's provided." - }, - { - "start": "30:39.68", - "stop": "30:40.16", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "30:40.28", - "stop": "30:40.68", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "30:40.76", - "stop": "30:41.08", - "speaker": "Tutor", - "dialogue": "feedback." - }, - { - "start": "30:41.20", - "stop": "30:41.40", - "speaker": "Tutor", - "dialogue": "Thank you." - }, - { - "start": "30:41.48", - "stop": "30:43.28", - "speaker": "Tutor", - "dialogue": "Is there anything that you think would be more helpful?" - }, - { - "start": "30:44.88", - "stop": "30:45.00", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "30:48.52", - "stop": "30:48.56", - "speaker": "Tutor", - "dialogue": "Not." - }, - { - "start": "30:49.60", - "stop": "30:51.44", - "speaker": "Student", - "dialogue": "Not that I know of I ink de." - }, - { - "start": "30:51.60", - "stop": "30:52.76", - "speaker": "Student", - "dialogue": "I think this is pretty good." - }, - { - "start": "30:53.64", - "stop": "30:53.96", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "30:54.56", - "stop": "30:57.24", - "speaker": "Tutor", - "dialogue": "well, it was awesome thinking through this with you." - }, - { - "start": "30:57.72", - "stop": "31:05.20", - "speaker": "Tutor", - "dialogue": "You are a powerful math thinker and you do an excellent job of communicating your thinking, so thank, keep doing that okay." - }, - { - "start": "31:05.92", - "stop": "31:06.16", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "31:06.40", - "stop": "31:07.48", - "speaker": "Tutor", - "dialogue": "All right, you have a good day." - }, - { - "start": "31:08.24", - "stop": "31:08.84", - "speaker": "Student", - "dialogue": "Yeah, you too." - }, - { - "start": "31:09.00", - "stop": "31:09.44", - "speaker": "Student", - "dialogue": "bye-bye" - }, - { - "start": "31:10.12", - "stop": "31:10.32", - "speaker": "Tutor", - "dialogue": "Bye." - } -] \ No newline at end of file diff --git a/data/amber/7132022CG.json b/data/amber/7132022CG.json deleted file mode 100644 index 5a75460..0000000 --- a/data/amber/7132022CG.json +++ /dev/null @@ -1,2900 +0,0 @@ -[ - { - "start": "00:00.92", - "stop": "00:02.32", - "speaker": "Tutor", - "dialogue": "All right, I'm going to change the screen." - }, - { - "start": "00:02.48", - "stop": "00:05.56", - "speaker": "Tutor", - "dialogue": "Now you see something different on your screen." - }, - { - "start": "00:06.20", - "stop": "00:06.36", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "00:06.88", - "stop": "00:08.48", - "speaker": "Tutor", - "dialogue": "Cool, take a minute to read it." - }, - { - "start": "00:09.00", - "stop": "00:13.52", - "speaker": "Tutor", - "dialogue": "Look it over and then describe what you think is happening in this situation." - }, - { - "start": "00:23.00", - "stop": "00:32.80", - "speaker": "Student", - "dialogue": "It's a map showing the route from the Providence of Rhode Island to New Jersey." - }, - { - "start": "00:33.36", - "stop": "00:36.64", - "speaker": "Tutor", - "dialogue": "Okay, where does the car start in this journey?" - }, - { - "start": "00:37.92", - "stop": "00:40.00", - "speaker": "Student", - "dialogue": "The car starts from the top." - }, - { - "start": "00:40.76", - "stop": "00:41.44", - "speaker": "Tutor", - "dialogue": "In Providence." - }, - { - "start": "00:42.08", - "stop": "00:42.24", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "00:42.72", - "stop": "00:46.52", - "speaker": "Tutor", - "dialogue": "Yes, and what are some things that we could measure in this situation?" - }, - { - "start": "00:48.72", - "stop": "00:51.68", - "speaker": "Student", - "dialogue": "The speed time distance." - }, - { - "start": "00:53.08", - "stop": "00:56.00", - "speaker": "Tutor", - "dialogue": "What are some units that we would use to measure those things?" - }, - { - "start": "00:57.16", - "stop": "01:00.16", - "speaker": "Student", - "dialogue": "Miles a hours." - }, - { - "start": "01:05.48", - "stop": "01:06.72", - "speaker": "Tutor", - "dialogue": "And what about for speed?" - }, - { - "start": "01:08.00", - "stop": "01:10.04", - "speaker": "Student", - "dialogue": "Speed miles per second, miles per." - }, - { - "start": "01:12.12", - "stop": "01:12.40", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "01:12.84", - "stop": "01:19.04", - "speaker": "Tutor", - "dialogue": "okay, I'm going to uncover something now and tell me how it was similar or different to what you were thinking about." - }, - { - "start": "01:30.12", - "stop": "01:37.92", - "speaker": "Student", - "dialogue": "Time distance, so it's similar to what I said." - }, - { - "start": "01:38.84", - "stop": "01:40.28", - "speaker": "Tutor", - "dialogue": "Similar, is there anything that's different?" - }, - { - "start": "01:41.08", - "stop": "01:43.60", - "speaker": "Student", - "dialogue": "Uh, it has points." - }, - { - "start": "01:44.88", - "stop": "01:46.92", - "speaker": "Tutor", - "dialogue": "M. wonder what those points are going to mean." - }, - { - "start": "01:48.32", - "stop": "01:51.52", - "speaker": "Student", - "dialogue": "Mayby stops, They took Okay." - }, - { - "start": "01:52.60", - "stop": "01:54.04", - "speaker": "Tutor", - "dialogue": "You also mention speed." - }, - { - "start": "01:54.64", - "stop": "01:56.36", - "speaker": "Tutor", - "dialogue": "Do you see speed on this grapt?" - }, - { - "start": "01:57.68", - "stop": "01:58.20", - "speaker": "Student", - "dialogue": "The slope." - }, - { - "start": "01:58.92", - "stop": "02:01.96", - "speaker": "Tutor", - "dialogue": "The slope is the speed or that those are something different." - }, - { - "start": "02:03.04", - "stop": "02:06.20", - "speaker": "Student", - "dialogue": "The slope can be at a speed, or if they are moving or not." - }, - { - "start": "02:07.28", - "stop": "02:08.64", - "speaker": "Tutor", - "dialogue": "Ah, so?" - }, - { - "start": "02:11.08", - "stop": "02:11.12", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "02:11.40", - "stop": "02:14.00", - "speaker": "Tutor", - "dialogue": "See speed in terms of the slope of the graph." - }, - { - "start": "02:15.44", - "stop": "02:16.28", - "speaker": "Tutor", - "dialogue": "Is that what you're saying?" - }, - { - "start": "02:16.84", - "stop": "02:17.80", - "speaker": "Tutor", - "dialogue": "Yes, cool." - }, - { - "start": "02:18.68", - "stop": "02:26.44", - "speaker": "Tutor", - "dialogue": "Okay, so yes, those points are different spots on the journey, so predict where you think they would be on the map." - }, - { - "start": "02:28.04", - "stop": "02:28.08", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "02:28.20", - "stop": "02:30.48", - "speaker": "Tutor", - "dialogue": "You can label em in a way that makes sense for you." - }, - { - "start": "02:42.68", - "stop": "03:37.72", - "speaker": "Student", - "dialogue": "Never forgot to that, this A t, B from here to he coud be T to E. at the beginning of the journey, This Ay and the naturally thisle B or C, C, flash T, and the smaller part or b Ets." - }, - { - "start": "03:46.32", - "stop": "03:47.36", - "speaker": "Student", - "dialogue": "it's very messy." - }, - { - "start": "03:48.24", - "stop": "03:48.44", - "speaker": "Student", - "dialogue": "it's." - }, - { - "start": "03:48.52", - "stop": "03:51.24", - "speaker": "Tutor", - "dialogue": "Cool, I understand you're drawing on a computer and it's challenging." - }, - { - "start": "03:51.40", - "stop": "03:51.52", - "speaker": "Tutor", - "dialogue": "right." - }, - { - "start": "03:53.04", - "stop": "03:55.32", - "speaker": "Tutor", - "dialogue": "Okay, so now explain to me." - }, - { - "start": "03:57.04", - "stop": "03:57.08", - "speaker": "Student", - "dialogue": "With." - }, - { - "start": "03:57.32", - "stop": "04:06.32", - "speaker": "Tutor", - "dialogue": "The map and the graph, Why you put the points where you did and say a little more about what's happening during each stage of that journey." - }, - { - "start": "04:07.48", - "stop": "04:24.84", - "speaker": "Student", - "dialogue": "A, from A to B, that'll be from the starting point, so the starting point will be at Providence, and the slope is long an hour, so the journey will be longer than B to C, which is only half an hour." - }, - { - "start": "04:25.00", - "stop": "04:26.44", - "speaker": "Student", - "dialogue": "So it'll be a shorter time." - }, - { - "start": "04:28.12", - "stop": "04:36.36", - "speaker": "Student", - "dialogue": "And then there's another journey which is longer, so continuing that C to D, and then this area." - }, - { - "start": "04:36.48", - "stop": "04:49.80", - "speaker": "Student", - "dialogue": "it gets really bumpy, So I at it here, where has a lot of curves on the map, and then the shortest time is E to f, which is at the end of the journey, so I put it at the par." - }, - { - "start": "04:50.72", - "stop": "05:02.72", - "speaker": "Tutor", - "dialogue": "So you put for example D to e in New York City, because there's a lot of turns and curves in New York City, and that's what those bumps represent to you on the graph." - }, - { - "start": "05:03.60", - "stop": "05:05.76", - "speaker": "Student", - "dialogue": "Yeah, O, okay." - }, - { - "start": "05:08.44", - "stop": "05:08.60", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "05:08.72", - "stop": "05:08.88", - "speaker": "Student", - "dialogue": "We're" - }, - { - "start": "05:08.96", - "stop": "05:11.64", - "speaker": "Tutor", - "dialogue": "Going to, I'm going to type some words up here." - }, - { - "start": "05:12.44", - "stop": "05:12.64", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "05:14.20", - "stop": "05:19.32", - "speaker": "Tutor", - "dialogue": "I'm increasing, increasing and saying the same." - }, - { - "start": "05:25.32", - "stop": "05:25.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "05:25.92", - "stop": "05:31.24", - "speaker": "Tutor", - "dialogue": "I'm going to color them purple 'cause we're going to call em the purple powerwords" - }, - { - "start": "05:31.40", - "stop": "05:34.48", - "speaker": "Tutor", - "dialogue": "Woh, see, this is how I draw with a mouse, too." - }, - { - "start": "05:36.36", - "stop": "05:36.52", - "speaker": "Student", - "dialogue": "We're" - }, - { - "start": "05:36.60", - "stop": "05:46.04", - "speaker": "Tutor", - "dialogue": "Just patient with one another right all right, So using those purple power words describe what's happening during each stage of the journey." - }, - { - "start": "05:47.96", - "stop": "05:48.80", - "speaker": "Student", - "dialogue": "A, sorry." - }, - { - "start": "05:48.88", - "stop": "05:50.32", - "speaker": "Student", - "dialogue": "There's a training in the background." - }, - { - "start": "05:50.36", - "stop": "05:50.80", - "speaker": "Student", - "dialogue": "That's okay." - }, - { - "start": "05:52.08", - "stop": "05:52.28", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "05:52.68", - "stop": "06:10.12", - "speaker": "Student", - "dialogue": "A to B, the speed is slowly increasing till it stops from B to C. so maybe they're taking a break or eating lunch, and from C to D, they're picking back up again and increasing uh." - }, - { - "start": "06:10.60", - "stop": "06:10.64", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "06:11.08", - "stop": "06:14.40", - "speaker": "Tutor", - "dialogue": "what is increasing from C to D and what's picking back up?" - }, - { - "start": "06:15.32", - "stop": "06:17.44", - "speaker": "Student", - "dialogue": "The speed C." - }, - { - "start": "06:20.36", - "stop": "06:21.28", - "speaker": "Tutor", - "dialogue": "And from D to e?" - }, - { - "start": "06:22.28", - "stop": "06:29.64", - "speaker": "Student", - "dialogue": "The, from D t, e, it increases and decreases very little in in certain intervals" - }, - { - "start": "06:30.48", - "stop": "06:36.24", - "speaker": "Student", - "dialogue": "it's like a zig zag, and from E to f, it's also increasing." - }, - { - "start": "06:36.96", - "stop": "06:39.76", - "speaker": "Tutor", - "dialogue": "Okay, so now you talked about speed?" - }, - { - "start": "06:40.16", - "stop": "06:49.04", - "speaker": "Tutor", - "dialogue": "Now I want you to talk about distance and time with these words in each section, so let's do it one section at a time." - }, - { - "start": "06:49.16", - "stop": "06:50.56", - "speaker": "Tutor", - "dialogue": "What's happening from A to B?" - }, - { - "start": "06:52.08", - "stop": "06:57.16", - "speaker": "Student", - "dialogue": "From A to B, the time is only one hour thing." - }, - { - "start": "06:57.48", - "stop": "06:58.36", - "speaker": "Student", - "dialogue": "the same, I guess" - }, - { - "start": "06:59.00", - "stop": "07:04.88", - "speaker": "Student", - "dialogue": "From for the distance or the miles, it's increasing 'cause they're driving more." - }, - { - "start": "07:05.68", - "stop": "07:11.04", - "speaker": "Tutor", - "dialogue": "Okay, so I'm going to type what I think I heard you say from A to B. You said the time is staying the same." - }, - { - "start": "07:12.28", - "stop": "07:14.88", - "speaker": "Tutor", - "dialogue": "Yeah, and the distance is increasing." - }, - { - "start": "07:16.32", - "stop": "07:18.48", - "speaker": "Student", - "dialogue": "Will the time Willon also be increasing S long?" - }, - { - "start": "07:19.24", - "stop": "07:22.12", - "speaker": "Tutor", - "dialogue": "Okay, you want to change that from A to B?" - }, - { - "start": "07:22.44", - "stop": "07:24.64", - "speaker": "Tutor", - "dialogue": "The time is increasing." - }, - { - "start": "07:27.68", - "stop": "07:27.72", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "07:28.12", - "stop": "07:29.44", - "speaker": "Tutor", - "dialogue": "The distance is increasing." - }, - { - "start": "07:34.24", - "stop": "07:34.56", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "07:35.92", - "stop": "07:38.60", - "speaker": "Tutor", - "dialogue": "And what's happening with the speed from A to B?" - }, - { - "start": "07:41.52", - "stop": "07:42.44", - "speaker": "Student", - "dialogue": "Slowly increase." - }, - { - "start": "07:43.60", - "stop": "07:55.48", - "speaker": "Tutor", - "dialogue": "Okay, so now we're going to put quantities or numbers to it from A to B. The time is increasing by how much, the distance is increasing by how much and the speed." - }, - { - "start": "07:56.40", - "stop": "07:57.40", - "speaker": "Tutor", - "dialogue": "What's going on with it?" - }, - { - "start": "07:57.72", - "stop": "07:57.88", - "speaker": "Tutor", - "dialogue": "Ok?" - }, - { - "start": "08:01.36", - "stop": "08:04.36", - "speaker": "Student", - "dialogue": "The distance is increasing by fifty miles." - }, - { - "start": "08:05.12", - "stop": "08:14.40", - "speaker": "Student", - "dialogue": "The time is by one hour, and the speed not sure." - }, - { - "start": "08:15.64", - "stop": "08:19.00", - "speaker": "Tutor", - "dialogue": "Beautiful, Not sure means Hm." - }, - { - "start": "08:19.44", - "stop": "08:22.84", - "speaker": "Tutor", - "dialogue": "I'm going to go deeper on that and that is the process of learning." - }, - { - "start": "08:23.68", - "stop": "08:23.72", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "08:24.32", - "stop": "08:24.64", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "08:25.28", - "stop": "08:27.76", - "speaker": "Tutor", - "dialogue": "E. okay, Um, So" - }, - { - "start": "08:27.96", - "stop": "08:33.44", - "speaker": "Tutor", - "dialogue": "if I put this over here, Actually I, I typed what you said in words." - }, - { - "start": "08:34.48", - "stop": "08:47.84", - "speaker": "Tutor", - "dialogue": "Now you label the map or graph in a way that makes sense for you to keep track of how much the distance is increasing and how much the time is increasing during that interval." - }, - { - "start": "08:52.32", - "stop": "08:52.48", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "08:53.12", - "stop": "08:56.60", - "speaker": "Tutor", - "dialogue": "So I wrote in words what you said out loud." - }, - { - "start": "08:58.12", - "stop": "09:09.36", - "speaker": "Tutor", - "dialogue": "Now I would like you to use numbers and symbols to label what's happening during that same section from A to B. So what's happening with the miles?" - }, - { - "start": "09:09.44", - "stop": "09:10.68", - "speaker": "Tutor", - "dialogue": "what's happening with the hours?" - }, - { - "start": "09:41.12", - "stop": "09:41.40", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "09:41.96", - "stop": "09:48.36", - "speaker": "Tutor", - "dialogue": "Cool and then, if you look at your map, you labeled the section of A to B. Now actually like you did here." - }, - { - "start": "09:48.60", - "stop": "09:53.92", - "speaker": "Tutor", - "dialogue": "Where would point A be located, and where would point B be located on the map?" - }, - { - "start": "09:55.52", - "stop": "10:02.56", - "speaker": "Student", - "dialogue": "Po, a loo be here and den point B wou be somewhere like." - }, - { - "start": "10:04.72", - "stop": "10:05.04", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "10:07.28", - "stop": "10:07.56", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "10:07.84", - "stop": "10:11.96", - "speaker": "Tutor", - "dialogue": "And I'm gonna just write what you said just to make sure." - }, - { - "start": "10:12.24", - "stop": "10:16.76", - "speaker": "Tutor", - "dialogue": "So you said this is A and this is B. E. Nice." - }, - { - "start": "10:17.56", - "stop": "10:22.16", - "speaker": "Tutor", - "dialogue": "Okay now, let's do the same thing for the next section of the journey from B to C." - }, - { - "start": "10:25.76", - "stop": "10:33.64", - "speaker": "Student", - "dialogue": "From B to C, they aren't moving, but time is also passing still." - }, - { - "start": "10:34.20", - "stop": "10:39.28", - "speaker": "Tutor", - "dialogue": "K, so go a little bit deeper with those purple words and put it all in one sentence." - }, - { - "start": "10:39.44", - "stop": "10:40.88", - "speaker": "Tutor", - "dialogue": "What's going on from B to C?" - }, - { - "start": "10:42.36", - "stop": "10:47.12", - "speaker": "Student", - "dialogue": "The distance is staying the same, but the hours is increasing." - }, - { - "start": "10:47.80", - "stop": "10:48.12", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "10:49.28", - "stop": "10:49.32", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "10:49.48", - "stop": "10:53.20", - "speaker": "Tutor", - "dialogue": "Distance is staying the same, but the time is what?" - }, - { - "start": "10:54.16", - "stop": "10:54.72", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "10:55.16", - "stop": "10:56.28", - "speaker": "Tutor", - "dialogue": "Do you know by how much?" - }, - { - "start": "10:57.16", - "stop": "10:58.80", - "speaker": "Student", - "dialogue": "Half an hour, I believe." - }, - { - "start": "11:04.92", - "stop": "11:05.08", - "speaker": "Tutor", - "dialogue": "Did?" - }, - { - "start": "11:05.16", - "stop": "11:05.20", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "11:05.32", - "stop": "11:07.84", - "speaker": "Tutor", - "dialogue": "Capture what you were thinking with those words." - }, - { - "start": "11:09.12", - "stop": "11:09.40", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "11:09.68", - "stop": "11:14.56", - "speaker": "Tutor", - "dialogue": "Now, same thing, where do you see that on the graph and on the map?" - }, - { - "start": "11:16.48", - "stop": "11:22.16", - "speaker": "Student", - "dialogue": "It's where be is and then see what also be there, Caause, they din't move." - }, - { - "start": "11:22.52", - "stop": "11:28.96", - "speaker": "Tutor", - "dialogue": "Okay, so they are at the same point, Mm, and they stay stopped for that thirty minutes." - }, - { - "start": "11:29.92", - "stop": "11:31.28", - "speaker": "Tutor", - "dialogue": "Yes, Okay, keep going." - }, - { - "start": "11:31.32", - "stop": "11:32.12", - "speaker": "Tutor", - "dialogue": "What about C. D?" - }, - { - "start": "11:33.40", - "stop": "11:49.24", - "speaker": "Student", - "dialogue": "C. D, they start moving again, so both distance and time are increasing uh time by one hour, distance by uh, fifty miles again." - }, - { - "start": "11:49.60", - "stop": "11:55.00", - "speaker": "Tutor", - "dialogue": "Coo, so label that that fifty miles, and that one hour, and your map." - }, - { - "start": "12:00.56", - "stop": "12:01.56", - "speaker": "Student", - "dialogue": "Oh me, sit." - }, - { - "start": "12:32.76", - "stop": "12:34.96", - "speaker": "Tutor", - "dialogue": "And how many miles does it increase by?" - }, - { - "start": "12:35.36", - "stop": "12:37.12", - "speaker": "Tutor", - "dialogue": "And how much time does it increase by?" - }, - { - "start": "12:38.24", - "stop": "12:41.00", - "speaker": "Student", - "dialogue": "One hour and fifty miles." - }, - { - "start": "12:41.72", - "stop": "12:42.92", - "speaker": "Tutor", - "dialogue": "Okay, so write that down." - }, - { - "start": "12:43.00", - "stop": "12:46.48", - "speaker": "Tutor", - "dialogue": "somehow, One hour, fifty miles." - }, - { - "start": "13:08.52", - "stop": "13:08.56", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "13:08.76", - "stop": "13:20.60", - "speaker": "Tutor", - "dialogue": "From C to D, if I know the car has traveled fifty miles and I know it took one hour to travel fifty miles, Do I have enough information to determine the speed?" - }, - { - "start": "13:22.72", - "stop": "13:35.12", - "speaker": "Student", - "dialogue": "I think so because if it's fifty miles per hour, that means it's twenty five per half an hour." - }, - { - "start": "13:36.48", - "stop": "13:40.52", - "speaker": "Tutor", - "dialogue": "And how do we usually describe speed per hour or per half hour?" - }, - { - "start": "13:42.88", - "stop": "13:44.08", - "speaker": "Student", - "dialogue": "Per hour." - }, - { - "start": "13:44.44", - "stop": "13:46.52", - "speaker": "Tutor", - "dialogue": "Per hour so from C to D." - }, - { - "start": "13:49.56", - "stop": "13:49.72", - "speaker": "Student", - "dialogue": "Think." - }, - { - "start": "13:49.80", - "stop": "13:54.40", - "speaker": "Tutor", - "dialogue": "About using all of these purple power words and speed." - }, - { - "start": "13:56.32", - "stop": "13:56.44", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "13:56.48", - "stop": "13:56.84", - "speaker": "Tutor", - "dialogue": "You ready?" - }, - { - "start": "13:56.84", - "stop": "13:57.92", - "speaker": "Tutor", - "dialogue": "Im type what you say." - }, - { - "start": "14:01.00", - "stop": "14:01.20", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "14:01.52", - "stop": "14:03.44", - "speaker": "Tutor", - "dialogue": "C to D. what's going on?" - }, - { - "start": "14:04.88", - "stop": "14:10.36", - "speaker": "Student", - "dialogue": "From C to D, the time is increasing." - }, - { - "start": "14:12.56", - "stop": "14:14.16", - "speaker": "Student", - "dialogue": "Don't mind my brother, okay?" - }, - { - "start": "14:16.68", - "stop": "14:16.88", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "14:17.04", - "stop": "14:19.64", - "speaker": "Student", - "dialogue": "C to D, the time is increasing." - }, - { - "start": "14:20.64", - "stop": "14:26.64", - "speaker": "Student", - "dialogue": "No, the miles is increasing fifty miles per one hour." - }, - { - "start": "14:28.68", - "stop": "14:32.20", - "speaker": "Tutor", - "dialogue": "So talk about distance first from C to D, the distance." - }, - { - "start": "14:33.40", - "stop": "14:47.00", - "speaker": "Student", - "dialogue": "From C to D, the distance is increasing, increasing by fifty miles, right for for the one hour that is also being increased." - }, - { - "start": "14:47.16", - "stop": "14:50.84", - "speaker": "Tutor", - "dialogue": "Okay, so from C to D, the distance is increasing by fifty miles." - }, - { - "start": "14:51.56", - "stop": "14:52.64", - "speaker": "Tutor", - "dialogue": "The time is." - }, - { - "start": "14:56.16", - "stop": "14:56.60", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "14:56.72", - "stop": "14:58.00", - "speaker": "Tutor", - "dialogue": "Decreasing or staying the same." - }, - { - "start": "14:58.72", - "stop": "14:59.24", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "15:00.48", - "stop": "15:01.48", - "speaker": "Tutor", - "dialogue": "Do you know by how much?" - }, - { - "start": "15:02.16", - "stop": "15:02.64", - "speaker": "Student", - "dialogue": "An hour." - }, - { - "start": "15:05.72", - "stop": "15:09.48", - "speaker": "Tutor", - "dialogue": "And the speed, what's going on is the speed." - }, - { - "start": "15:11.12", - "stop": "15:14.80", - "speaker": "Student", - "dialogue": "The speed is also increasing from the two points." - }, - { - "start": "15:21.00", - "stop": "15:24.04", - "speaker": "Tutor", - "dialogue": "How much just a we were doing with distance and time?" - }, - { - "start": "15:25.96", - "stop": "15:26.00", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "15:26.16", - "stop": "15:30.68", - "speaker": "Tutor", - "dialogue": "Speed is increasing from what to what or by how much." - }, - { - "start": "15:32.92", - "stop": "15:32.96", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "15:33.04", - "stop": "15:35.20", - "speaker": "Tutor", - "dialogue": "What is what is the speed from C to D?" - }, - { - "start": "15:37.44", - "stop": "15:44.56", - "speaker": "Student", - "dialogue": "It has a rise of three and a run of one, so the slope is three." - }, - { - "start": "15:46.40", - "stop": "15:51.20", - "speaker": "Tutor", - "dialogue": "Are each of those units on or Um sections of the graph or intervals worth one?" - }, - { - "start": "15:59.00", - "stop": "15:59.04", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "15:59.28", - "stop": "16:02.32", - "speaker": "Tutor", - "dialogue": "How did you tell me what the speed was between C a D earlier?" - }, - { - "start": "16:04.16", - "stop": "16:15.68", - "speaker": "Student", - "dialogue": "Mm, fifty over one, fifty miles over one hour, which is equal to twenty five miles per half an hour." - }, - { - "start": "16:16.60", - "stop": "16:19.12", - "speaker": "Tutor", - "dialogue": "But the way we write speed is miles per hour." - }, - { - "start": "16:19.84", - "stop": "16:20.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:20.44", - "stop": "16:33.24", - "speaker": "Tutor", - "dialogue": "So the speed from C to D is fifty miles per one hour, and the other way we can write that is fifty m, p. H." - }, - { - "start": "16:36.00", - "stop": "16:36.04", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "16:36.20", - "stop": "16:41.16", - "speaker": "Tutor", - "dialogue": "You showed that by the rise of fifty and the run of one." - }, - { - "start": "16:42.04", - "stop": "16:42.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:43.32", - "stop": "16:49.00", - "speaker": "Tutor", - "dialogue": "That we can also describe as the speed because it happens to be a special relationship between miles and hours." - }, - { - "start": "16:50.00", - "stop": "16:50.20", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "16:50.84", - "stop": "16:51.64", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "16:52.20", - "stop": "16:52.36", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "16:54.04", - "stop": "17:09.16", - "speaker": "Tutor", - "dialogue": "O, So is the speed of the car from C to D, a constant rate of fifty miles per hour, or is the speed changing from C to D?" - }, - { - "start": "17:16.00", - "stop": "17:22.12", - "speaker": "Student", - "dialogue": "I think it's constant because it's in a straight line unlike D to E." - }, - { - "start": "17:23.76", - "stop": "17:26.88", - "speaker": "Tutor", - "dialogue": "You sound like maybe you're not completely sure." - }, - { - "start": "17:27.56", - "stop": "17:31.12", - "speaker": "Tutor", - "dialogue": "Are you confident it's a constant and D to E is not constant?" - }, - { - "start": "17:31.28", - "stop": "17:32.80", - "speaker": "Tutor", - "dialogue": "Do you want some more time to think about it?" - }, - { - "start": "17:33.84", - "stop": "17:34.88", - "speaker": "Student", - "dialogue": "I think I'm confi." - }, - { - "start": "17:35.48", - "stop": "17:36.76", - "speaker": "Tutor", - "dialogue": "You think you're confident" - }, - { - "start": "17:36.92", - "stop": "17:37.36", - "speaker": "Tutor", - "dialogue": "I love it?" - }, - { - "start": "17:38.96", - "stop": "17:39.24", - "speaker": "Tutor", - "dialogue": "Say it." - }, - { - "start": "17:39.56", - "stop": "17:40.84", - "speaker": "Tutor", - "dialogue": "Yes, I'm confident." - }, - { - "start": "17:41.68", - "stop": "17:43.20", - "speaker": "Student", - "dialogue": "Yes, I beautiful." - }, - { - "start": "17:43.56", - "stop": "17:46.80", - "speaker": "Tutor", - "dialogue": "Yeah, that's what makes a linear or a line." - }, - { - "start": "17:46.96", - "stop": "17:51.60", - "speaker": "Tutor", - "dialogue": "You know, when you're talking about linear equations, Is that it's a constant rate of change." - }, - { - "start": "17:53.12", - "stop": "17:56.44", - "speaker": "Tutor", - "dialogue": "The slope is fifty anywhere along here." - }, - { - "start": "17:58.24", - "stop": "17:58.28", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "17:58.48", - "stop": "18:06.84", - "speaker": "Tutor", - "dialogue": "That makes it fifty miles per hour, this entire section, so the car is moving at a constant speed of fifty miles per hour." - }, - { - "start": "18:09.04", - "stop": "18:09.08", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "18:09.24", - "stop": "18:14.56", - "speaker": "Tutor", - "dialogue": "If we go back to from C to D, the distance is increasing by fifty miles." - }, - { - "start": "18:15.12", - "stop": "18:20.48", - "speaker": "Tutor", - "dialogue": "the time is increasing by one hour, and the speed is what's going on with it." - }, - { - "start": "18:22.12", - "stop": "18:26.60", - "speaker": "Student", - "dialogue": "It's at at speed of fifty miles per hour." - }, - { - "start": "18:26.84", - "stop": "18:27.24", - "speaker": "Tutor", - "dialogue": "Yeah, as so." - }, - { - "start": "18:27.40", - "stop": "18:30.76", - "speaker": "Tutor", - "dialogue": "if it's at a constant, is it increasing, decreasing or staying the same?" - }, - { - "start": "18:32.40", - "stop": "18:32.76", - "speaker": "Student", - "dialogue": "Sting." - }, - { - "start": "18:33.96", - "stop": "18:37.88", - "speaker": "Tutor", - "dialogue": "Yep, it is staying the same, which in parentheses is all right constant." - }, - { - "start": "18:40.24", - "stop": "18:40.44", - "speaker": "Student", - "dialogue": "At." - }, - { - "start": "18:40.60", - "stop": "18:43.32", - "speaker": "Tutor", - "dialogue": "Fifty miles per hour." - }, - { - "start": "18:46.16", - "stop": "18:46.36", - "speaker": "Student", - "dialogue": "Did?" - }, - { - "start": "18:46.40", - "stop": "18:47.64", - "speaker": "Tutor", - "dialogue": "I capture what you were thinking." - }, - { - "start": "18:50.60", - "stop": "18:50.76", - "speaker": "Student", - "dialogue": "Uh?" - }, - { - "start": "18:50.96", - "stop": "18:51.68", - "speaker": "Tutor", - "dialogue": "Take a look at that." - }, - { - "start": "18:52.04", - "stop": "18:54.12", - "speaker": "Tutor", - "dialogue": "There's a lot of things to keep track of there." - }, - { - "start": "18:54.88", - "stop": "18:59.12", - "speaker": "Tutor", - "dialogue": "there's distance, there's miles, there's time, there's hours, there's speed." - }, - { - "start": "18:59.28", - "stop": "19:06.52", - "speaker": "Tutor", - "dialogue": "There's miles per hour, which were all things that you said we could measure when we first started this situation." - }, - { - "start": "19:08.64", - "stop": "19:08.80", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "19:08.88", - "stop": "19:12.08", - "speaker": "Tutor", - "dialogue": "You're making sense of how we keep track of them all at the same time." - }, - { - "start": "19:14.36", - "stop": "19:14.40", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "19:14.84", - "stop": "19:17.28", - "speaker": "Tutor", - "dialogue": "These purple power words help you do that." - }, - { - "start": "19:18.60", - "stop": "19:21.40", - "speaker": "Tutor", - "dialogue": "Always remember to use those whenever you're thinking about graphs." - }, - { - "start": "19:22.84", - "stop": "19:22.88", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "19:23.12", - "stop": "19:25.92", - "speaker": "Tutor", - "dialogue": "Vertical axis has one thing that is changing." - }, - { - "start": "19:26.76", - "stop": "19:29.20", - "speaker": "Tutor", - "dialogue": "Is it increasing, decreasing or staying the same?" - }, - { - "start": "19:29.80", - "stop": "19:32.72", - "speaker": "Tutor", - "dialogue": "The horizontal axis has another thing that's changing." - }, - { - "start": "19:33.24", - "stop": "19:35.76", - "speaker": "Tutor", - "dialogue": "Is it increasing decreasing or staying the same." - }, - { - "start": "19:36.32", - "stop": "19:42.80", - "speaker": "Tutor", - "dialogue": "And then the relationship of how those two things are changing in relation to each other is what's in the middle." - }, - { - "start": "19:43.60", - "stop": "19:53.64", - "speaker": "Tutor", - "dialogue": "You recognized it, as it can be described as the slope, and in some instances there's a special type of slope like this one that has a new unit that we call speed." - }, - { - "start": "19:55.92", - "stop": "19:56.24", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "19:57.00", - "stop": "19:59.96", - "speaker": "Tutor", - "dialogue": "Y all right, So now we're going to kick it up a notch." - }, - { - "start": "20:00.32", - "stop": "20:00.92", - "speaker": "Tutor", - "dialogue": "Are you ready?" - }, - { - "start": "20:01.88", - "stop": "20:01.92", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "20:02.44", - "stop": "20:03.60", - "speaker": "Tutor", - "dialogue": "Going to move these out of the way?" - }, - { - "start": "20:07.00", - "stop": "20:07.16", - "speaker": "Student", - "dialogue": "Cause?" - }, - { - "start": "20:07.24", - "stop": "20:08.72", - "speaker": "Tutor", - "dialogue": "Now I want you to create a grap." - }, - { - "start": "20:11.24", - "stop": "20:11.40", - "speaker": "Student", - "dialogue": "An." - }, - { - "start": "20:11.52", - "stop": "20:12.16", - "speaker": "Tutor", - "dialogue": "In your graph." - }, - { - "start": "20:15.00", - "stop": "20:15.16", - "speaker": "Student", - "dialogue": "Want?" - }, - { - "start": "20:15.24", - "stop": "20:17.00", - "speaker": "Tutor", - "dialogue": "You to keep track of Oops?" - }, - { - "start": "20:17.20", - "stop": "20:17.96", - "speaker": "Tutor", - "dialogue": "let me move these." - }, - { - "start": "20:18.92", - "stop": "20:19.12", - "speaker": "Tutor", - "dialogue": "See." - }, - { - "start": "20:19.16", - "stop": "20:20.24", - "speaker": "Tutor", - "dialogue": "I wish there was a way to." - }, - { - "start": "20:23.00", - "stop": "20:23.04", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "20:23.20", - "stop": "20:25.36", - "speaker": "Tutor", - "dialogue": "Erased them all, but I haven't figured that out yet." - }, - { - "start": "20:28.28", - "stop": "20:28.44", - "speaker": "Student", - "dialogue": "There." - }, - { - "start": "20:28.52", - "stop": "20:29.60", - "speaker": "Tutor", - "dialogue": "Can you see the graph now?" - }, - { - "start": "20:30.64", - "stop": "20:30.80", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "20:31.32", - "stop": "20:33.28", - "speaker": "Tutor", - "dialogue": "Ok, so same situation." - }, - { - "start": "20:37.04", - "stop": "20:37.08", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "20:37.36", - "stop": "20:41.76", - "speaker": "Tutor", - "dialogue": "Is going on what's the relationship between speed and time?" - }, - { - "start": "20:42.40", - "stop": "20:45.40", - "speaker": "Tutor", - "dialogue": "Continue to remember to think about those purple power words." - }, - { - "start": "20:46.64", - "stop": "20:46.68", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "20:47.60", - "stop": "20:50.12", - "speaker": "Tutor", - "dialogue": "And the relationship between these two things together." - }, - { - "start": "21:02.32", - "stop": "21:03.24", - "speaker": "Student", - "dialogue": "Judgnline." - }, - { - "start": "21:03.92", - "stop": "21:13.60", - "speaker": "Tutor", - "dialogue": "You create the graph and the way that makes sense for you, and then I'm going to ask you to justify it or explain why you created what you created." - }, - { - "start": "21:19.08", - "stop": "21:19.12", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "21:19.32", - "stop": "21:20.52", - "speaker": "Tutor", - "dialogue": "Don't think're confident." - }, - { - "start": "21:21.08", - "stop": "21:21.84", - "speaker": "Tutor", - "dialogue": "Be confident." - }, - { - "start": "21:47.92", - "stop": "21:47.96", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "21:48.16", - "stop": "21:52.08", - "speaker": "Tutor", - "dialogue": "What are you going to be keeping track of on this horizontal axis?" - }, - { - "start": "22:19.52", - "stop": "23:22.56", - "speaker": "Student", - "dialogue": "Skay, mmhmm, Mm, and to fives a, out to eight miles per hour." - }, - { - "start": "23:24.28", - "stop": "23:51.32", - "speaker": "Student", - "dialogue": "One hour is fifty, so, two hours, eight hundredth and then and between will be intervals of twenty, I." - }, - { - "start": "23:52.08", - "stop": "23:52.24", - "speaker": "Tutor", - "dialogue": "Can?" - }, - { - "start": "23:52.48", - "stop": "23:56.72", - "speaker": "Student", - "dialogue": "Fit properly, I may sell Fm." - }, - { - "start": "23:57.08", - "stop": "24:34.00", - "speaker": "Student", - "dialogue": "eightiky fiften one hour, eight Se, half an hour, then Nese line of Sts." - }, - { - "start": "24:41.64", - "stop": "24:48.76", - "speaker": "Student", - "dialogue": "Cd, oh, Iro, twenty five atern" - }, - { - "start": "24:59.80", - "stop": "25:19.20", - "speaker": "Student", - "dialogue": "A that hour hundred t. I can't tust straight on." - }, - { - "start": "25:27.40", - "stop": "25:30.92", - "speaker": "Tutor", - "dialogue": "Okay, stop for a second, because I want to understand what you've created so far." - }, - { - "start": "25:33.64", - "stop": "25:33.88", - "speaker": "Student", - "dialogue": "Talk." - }, - { - "start": "25:34.04", - "stop": "25:42.68", - "speaker": "Tutor", - "dialogue": "Me through what's happening on Yourro graph and help me understand where where those stop points are like a, b, c, D. Where are they in Yourro graph?" - }, - { - "start": "25:44.64", - "stop": "25:58.12", - "speaker": "Student", - "dialogue": "From the zero over here to the fifteen miles over here is a and B, and from." - }, - { - "start": "25:58.52", - "stop": "26:01.08", - "speaker": "Tutor", - "dialogue": "So what's happening from A to B in your graph?" - }, - { - "start": "26:01.96", - "stop": "26:10.36", - "speaker": "Student", - "dialogue": "At the speed is uh, increasing five fifty miles per one hour, which is the time." - }, - { - "start": "26:10.44", - "stop": "26:11.24", - "speaker": "Student", - "dialogue": "Want thecide?" - }, - { - "start": "26:11.52", - "stop": "26:15.52", - "speaker": "Tutor", - "dialogue": "Okay, so let's and then is this going to be B, C in C, D, D. Yes." - }, - { - "start": "26:15.80", - "stop": "26:16.04", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "26:17.40", - "stop": "26:19.28", - "speaker": "Tutor", - "dialogue": "So this is C." - }, - { - "start": "26:21.20", - "stop": "26:21.24", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "26:21.40", - "stop": "26:21.88", - "speaker": "Tutor", - "dialogue": "This is D." - }, - { - "start": "26:22.84", - "stop": "26:23.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "26:23.36", - "stop": "26:24.80", - "speaker": "Tutor", - "dialogue": "Okay, talk me through C. D. D." - }, - { - "start": "26:26.36", - "stop": "26:39.96", - "speaker": "Student", - "dialogue": "From C to D, it's like similar to a B, because they move five fifty miles per one hour and they move one hour, so it's a constant S." - }, - { - "start": "26:42.32", - "stop": "26:48.12", - "speaker": "Tutor", - "dialogue": "So from C to D, you are grafhing the relationship between speed and time." - }, - { - "start": "26:48.92", - "stop": "26:49.08", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "26:49.56", - "stop": "26:56.08", - "speaker": "Tutor", - "dialogue": "So right below your graph are some of your words that you said earlier from C to D." - }, - { - "start": "26:57.84", - "stop": "26:58.08", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "26:58.20", - "stop": "27:00.88", - "speaker": "Tutor", - "dialogue": "Going on with with speed." - }, - { - "start": "27:02.36", - "stop": "27:17.40", - "speaker": "Student", - "dialogue": "The speed isinct constant, so maye de lunche, if the speed is constant de linche of you hazontal, H." - }, - { - "start": "27:19.40", - "stop": "27:19.68", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "27:19.80", - "stop": "27:20.00", - "speaker": "Student", - "dialogue": "You're" - }, - { - "start": "27:20.12", - "stop": "27:22.16", - "speaker": "Tutor", - "dialogue": "Showing a speed increasing." - }, - { - "start": "27:24.36", - "stop": "27:24.40", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "27:24.56", - "stop": "27:26.08", - "speaker": "Tutor", - "dialogue": "If the speed is constant." - }, - { - "start": "27:28.04", - "stop": "27:41.00", - "speaker": "Student", - "dialogue": "Di the line not be horizontal, Hm, but how do you make a horizontal if the hours increase and the speed days constant?" - }, - { - "start": "27:41.52", - "stop": "27:49.64", - "speaker": "Tutor", - "dialogue": "How long does the car travel at the constant speed of fifty miles per hour from C to D?" - }, - { - "start": "27:50.88", - "stop": "27:53.72", - "speaker": "Student", - "dialogue": "How long travels for one hour." - }, - { - "start": "27:53.96", - "stop": "27:55.96", - "speaker": "Tutor", - "dialogue": "Okay, so from C to D?" - }, - { - "start": "27:57.84", - "stop": "27:57.88", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "27:58.04", - "stop": "28:07.20", - "speaker": "Tutor", - "dialogue": "Car has to travel for fifty miles per hour for a period of one hour, C to D." - }, - { - "start": "28:09.48", - "stop": "28:09.52", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "28:09.64", - "stop": "28:15.40", - "speaker": "Tutor", - "dialogue": "Car travels fifty miles per hour for one hour." - }, - { - "start": "28:19.40", - "stop": "28:19.52", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "28:19.56", - "stop": "28:21.36", - "speaker": "Tutor", - "dialogue": "Can you make a graph that shows that?" - }, - { - "start": "28:28.08", - "stop": "28:42.64", - "speaker": "Student", - "dialogue": "Se, you can't decrease what other graps are there." - }, - { - "start": "28:45.28", - "stop": "28:45.48", - "speaker": "Student", - "dialogue": "S it?" - }, - { - "start": "29:03.44", - "stop": "29:06.32", - "speaker": "Student", - "dialogue": "it can't be a linear relation" - }, - { - "start": "29:11.72", - "stop": "29:17.36", - "speaker": "Student", - "dialogue": "O. your graphs't got my notebook." - }, - { - "start": "29:17.80", - "stop": "29:21.44", - "speaker": "Tutor", - "dialogue": "No, your brain is your notebook and you're doing such cool thinking." - }, - { - "start": "29:21.76", - "stop": "29:23.56", - "speaker": "Tutor", - "dialogue": "you' you're trying to figure out like hum." - }, - { - "start": "29:23.64", - "stop": "29:25.64", - "speaker": "Tutor", - "dialogue": "I heard you say something like what kind of graphs?" - }, - { - "start": "29:25.88", - "stop": "29:27.92", - "speaker": "Tutor", - "dialogue": "So you're trying to think of graphs you're familiar with" - }, - { - "start": "29:28.80", - "stop": "29:29.52", - "speaker": "Tutor", - "dialogue": "And then you said" - }, - { - "start": "29:29.60", - "stop": "29:32.68", - "speaker": "Tutor", - "dialogue": "It can't be a linear which a spot on it can't" - }, - { - "start": "29:32.92", - "stop": "29:38.84", - "speaker": "Tutor", - "dialogue": "So this may be a. This may end up looking like a graph like you've never seen before, and that's O. k." - }, - { - "start": "29:41.08", - "stop": "29:41.24", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "29:41.36", - "stop": "29:44.24", - "speaker": "Tutor", - "dialogue": "Can you show from C to D?" - }, - { - "start": "29:44.48", - "stop": "29:47.08", - "speaker": "Tutor", - "dialogue": "the car travels fifty miles per hour for one hour?" - }, - { - "start": "29:48.12", - "stop": "29:50.84", - "speaker": "Tutor", - "dialogue": "Let's do this same thing, F A to B." - }, - { - "start": "29:52.92", - "stop": "29:53.16", - "speaker": "Student", - "dialogue": "Would?" - }, - { - "start": "29:53.20", - "stop": "29:53.88", - "speaker": "Tutor", - "dialogue": "That be helpful." - }, - { - "start": "29:55.40", - "stop": "29:55.64", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "29:55.76", - "stop": "29:58.68", - "speaker": "Tutor", - "dialogue": "So let's think about from A to B. Hm." - }, - { - "start": "29:58.76", - "stop": "30:01.40", - "speaker": "Tutor", - "dialogue": "what's going on with the speed from the time?" - }, - { - "start": "30:03.08", - "stop": "30:13.32", - "speaker": "Student", - "dialogue": "The speed is at a constant rate of fifteen miles per hour, and the hour the time is increasing by one hour." - }, - { - "start": "30:14.48", - "stop": "30:16.08", - "speaker": "Tutor", - "dialogue": "Is the car so?" - }, - { - "start": "30:16.24", - "stop": "30:22.44", - "speaker": "Tutor", - "dialogue": "If we're just talking about the speed and the time, its, How fast is the car going?" - }, - { - "start": "30:23.16", - "stop": "30:24.92", - "speaker": "Tutor", - "dialogue": "For how much time of the journey?" - }, - { - "start": "30:25.96", - "stop": "30:33.40", - "speaker": "Tutor", - "dialogue": "So from A to B, the car travels at a constant rate of fifty miles per hour for how much time?" - }, - { - "start": "30:34.72", - "stop": "30:35.36", - "speaker": "Student", - "dialogue": "One hour." - }, - { - "start": "30:35.68", - "stop": "30:36.56", - "speaker": "Tutor", - "dialogue": "For one hour." - }, - { - "start": "30:38.20", - "stop": "30:38.44", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "30:40.68", - "stop": "30:40.88", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "30:41.08", - "stop": "30:41.12", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "30:41.44", - "stop": "30:43.40", - "speaker": "Tutor", - "dialogue": "To D. what's going on?" - }, - { - "start": "30:46.00", - "stop": "30:46.72", - "speaker": "Student", - "dialogue": "From C to." - }, - { - "start": "30:46.96", - "stop": "30:48.68", - "speaker": "Tutor", - "dialogue": "D, I'm sorry from B to C." - }, - { - "start": "30:50.00", - "stop": "30:55.92", - "speaker": "Student", - "dialogue": "From B to C, the miles per hour is zero." - }, - { - "start": "30:57.84", - "stop": "30:58.04", - "speaker": "Student", - "dialogue": "caause." - }, - { - "start": "30:58.12", - "stop": "31:00.96", - "speaker": "Student", - "dialogue": "it's not moving, but the time is still increasing." - }, - { - "start": "31:01.24", - "stop": "31:05.04", - "speaker": "Tutor", - "dialogue": "So from B to c, the speed is zero miles per hour." - }, - { - "start": "31:05.40", - "stop": "31:07.24", - "speaker": "Tutor", - "dialogue": "And how long does the car stay?" - }, - { - "start": "31:07.44", - "stop": "31:09.24", - "speaker": "Tutor", - "dialogue": "Stopped at zero miles per hour." - }, - { - "start": "31:10.28", - "stop": "31:10.92", - "speaker": "Student", - "dialogue": "Half an hour." - }, - { - "start": "31:19.92", - "stop": "31:19.96", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "31:20.20", - "stop": "31:20.32", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "31:20.36", - "stop": "31:28.88", - "speaker": "Tutor", - "dialogue": "Can you make a graph that shows those three sections, A to b, B to C and C to D with the relationship of speed to time?" - }, - { - "start": "31:33.16", - "stop": "31:33.20", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "31:33.32", - "stop": "31:36.36", - "speaker": "Tutor", - "dialogue": "You want to work from what you have, or do you want to erase what you have?" - }, - { - "start": "31:37.88", - "stop": "31:39.44", - "speaker": "Student", - "dialogue": "I erase some of the points." - }, - { - "start": "31:40.28", - "stop": "31:42.88", - "speaker": "Tutor", - "dialogue": "Do you want me to help erase anything or do you got it?" - }, - { - "start": "31:43.60", - "stop": "31:44.32", - "speaker": "Student", - "dialogue": "I ink got." - }, - { - "start": "32:09.28", - "stop": "32:09.48", - "speaker": "Tutor", - "dialogue": "Mm." - }, - { - "start": "32:36.32", - "stop": "32:43.80", - "speaker": "Student", - "dialogue": "Oll be first the one, but that's vacancym." - }, - { - "start": "33:26.72", - "stop": "33:33.84", - "speaker": "Tutor", - "dialogue": "On your intervals down here, on your excenss, you have speeds as fast as seventy five miles per hour and higher." - }, - { - "start": "33:35.04", - "stop": "33:35.24", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "33:35.32", - "stop": "33:37.28", - "speaker": "Tutor", - "dialogue": "What's the fastest our cars ever going to go?" - }, - { - "start": "33:38.24", - "stop": "33:38.68", - "speaker": "Student", - "dialogue": "Usty, yeah." - }, - { - "start": "33:38.92", - "stop": "33:40.48", - "speaker": "Tutor", - "dialogue": "So it might give you some more work space." - }, - { - "start": "33:43.16", - "stop": "33:44.16", - "speaker": "Student", - "dialogue": "Sting was to tight." - }, - { - "start": "34:00.00", - "stop": "34:03.00", - "speaker": "Student", - "dialogue": "I live next to a train station, so you're gonna have to hear that." - }, - { - "start": "34:06.88", - "stop": "34:08.04", - "speaker": "Tutor", - "dialogue": "It's actually not that loud." - }, - { - "start": "34:08.28", - "stop": "34:10.60", - "speaker": "Tutor", - "dialogue": "It's probably louder to you than it is coming through to hear." - }, - { - "start": "34:11.60", - "stop": "34:12.60", - "speaker": "Student", - "dialogue": "It's really loud." - }, - { - "start": "34:27.00", - "stop": "34:27.40", - "speaker": "Tutor", - "dialogue": "Eing." - }, - { - "start": "34:27.72", - "stop": "34:57.28", - "speaker": "Student", - "dialogue": "For weight of fifty, Sei, thank you, W I you." - }, - { - "start": "35:17.32", - "stop": "35:19.16", - "speaker": "Tutor", - "dialogue": "Okay, so explain to me this line." - }, - { - "start": "35:20.40", - "stop": "35:29.28", - "speaker": "Student", - "dialogue": "Uh, I was trying to think maybe the line can go down, but then I, uh, that was not correct." - }, - { - "start": "35:30.12", - "stop": "35:31.36", - "speaker": "Tutor", - "dialogue": "So that it could be like an l." - }, - { - "start": "35:32.36", - "stop": "35:32.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "35:33.12", - "stop": "35:34.72", - "speaker": "Tutor", - "dialogue": "Okay, so let's test this." - }, - { - "start": "35:38.00", - "stop": "35:38.12", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "35:38.32", - "stop": "35:42.28", - "speaker": "Tutor", - "dialogue": "I am in A to B this entire time." - }, - { - "start": "35:42.48", - "stop": "35:44.20", - "speaker": "Tutor", - "dialogue": "The car's going fifty miles per hour." - }, - { - "start": "35:44.96", - "stop": "35:52.88", - "speaker": "Tutor", - "dialogue": "Yes, so ten minutes into the trip, thirty minutes into the trip, forty-five minutes into the trip, and an hour into the trip." - }, - { - "start": "35:53.36", - "stop": "35:56.52", - "speaker": "Tutor", - "dialogue": "That entire time the car is doing fifty miles per hour." - }, - { - "start": "35:57.24", - "stop": "35:57.40", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "35:58.80", - "stop": "36:11.76", - "speaker": "Tutor", - "dialogue": "Which of these lines shows a car travelling fifty miles per hour from the beginning of the trip, thirty minutes into the trip, and for one all the way into an hour?" - }, - { - "start": "36:13.04", - "stop": "36:14.72", - "speaker": "Student", - "dialogue": "Maybe the vertical line." - }, - { - "start": "36:16.32", - "stop": "36:18.24", - "speaker": "Tutor", - "dialogue": "You said maybe are you?" - }, - { - "start": "36:18.64", - "stop": "36:18.80", - "speaker": "Tutor", - "dialogue": "Are you?" - }, - { - "start": "36:18.88", - "stop": "36:20.08", - "speaker": "Tutor", - "dialogue": "Do you think you're confident?" - }, - { - "start": "36:20.56", - "stop": "36:21.32", - "speaker": "Tutor", - "dialogue": "Are you confident?" - }, - { - "start": "36:21.40", - "stop": "36:24.04", - "speaker": "Tutor", - "dialogue": "It's that linevertical?" - }, - { - "start": "36:24.40", - "stop": "36:24.44", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "36:24.56", - "stop": "36:27.00", - "speaker": "Tutor", - "dialogue": "Vertical line, go with it, Own it." - }, - { - "start": "36:27.36", - "stop": "36:29.32", - "speaker": "Tutor", - "dialogue": "You're a powerful mathematical thinker." - }, - { - "start": "36:32.20", - "stop": "36:32.24", - "speaker": "Student", - "dialogue": "K." - }, - { - "start": "36:33.24", - "stop": "36:37.20", - "speaker": "Tutor", - "dialogue": "So where would point A be located, and where would point B be located?" - }, - { - "start": "36:39.96", - "stop": "36:41.72", - "speaker": "Student", - "dialogue": "A here." - }, - { - "start": "36:47.32", - "stop": "36:49.80", - "speaker": "Tutor", - "dialogue": "K, b and A." - }, - { - "start": "36:51.88", - "stop": "36:52.04", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "36:52.16", - "stop": "37:00.72", - "speaker": "Tutor", - "dialogue": "This line show fifty miles per hour from the beginning of the trip, half an hour into the trip and one hour into the trip." - }, - { - "start": "37:01.76", - "stop": "37:01.96", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "37:03.16", - "stop": "37:03.48", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "37:04.08", - "stop": "37:05.04", - "speaker": "Tutor", - "dialogue": "now, try B to C." - }, - { - "start": "37:06.24", - "stop": "37:06.92", - "speaker": "Student", - "dialogue": "B to C." - }, - { - "start": "37:13.08", - "stop": "37:18.76", - "speaker": "Tutor", - "dialogue": "From B to c, the car is zero miles per hour for a half hour." - }, - { - "start": "37:34.04", - "stop": "38:00.20", - "speaker": "Student", - "dialogue": "With the next here now, one hour to half an hour, S." - }, - { - "start": "38:01.88", - "stop": "38:05.68", - "speaker": "Tutor", - "dialogue": "And then what happens from C to Dm?" - }, - { - "start": "38:08.44", - "stop": "38:14.80", - "speaker": "Student", - "dialogue": "It goes back to fifty miles per hour till two and a ha." - }, - { - "start": "38:24.76", - "stop": "38:26.44", - "speaker": "Tutor", - "dialogue": "Have you ever seen graphs that look like this?" - }, - { - "start": "38:28.80", - "stop": "38:28.84", - "speaker": "Student", - "dialogue": "N." - }, - { - "start": "38:29.92", - "stop": "38:31.28", - "speaker": "Tutor", - "dialogue": "So cool, you will." - }, - { - "start": "38:32.60", - "stop": "38:32.64", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "38:32.96", - "stop": "38:38.60", - "speaker": "Tutor", - "dialogue": "And we, Yeah, and they are Ca. You just created what is called a peacewise graph." - }, - { - "start": "38:40.48", - "stop": "38:42.52", - "speaker": "Student", - "dialogue": "Ohh, I've seen those book." - }, - { - "start": "38:42.60", - "stop": "38:44.12", - "speaker": "Student", - "dialogue": "The lens were horizontal." - }, - { - "start": "38:44.44", - "stop": "38:54.32", - "speaker": "Tutor", - "dialogue": "Ah, yeah, and this is flipped on purpose to make you think about time more specifically instead of time as just this thing that's passing." - }, - { - "start": "38:55.36", - "stop": "38:58.68", - "speaker": "Tutor", - "dialogue": "you had to really think about for how long when it's on that axis." - }, - { - "start": "38:58.92", - "stop": "38:59.04", - "speaker": "Tutor", - "dialogue": "right." - }, - { - "start": "39:00.36", - "stop": "39:07.36", - "speaker": "Tutor", - "dialogue": "So the question I have for you now is can be be located at this point and this point at the exact same time." - }, - { - "start": "39:10.80", - "stop": "39:10.84", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "39:11.36", - "stop": "39:18.76", - "speaker": "Tutor", - "dialogue": "So in a peacewise function you end up deciding, does it belong here or does it belong here?" - }, - { - "start": "39:20.20", - "stop": "39:20.24", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "39:20.40", - "stop": "39:21.84", - "speaker": "Tutor", - "dialogue": "If you say it belong, it can." - }, - { - "start": "39:22.40", - "stop": "39:25.36", - "speaker": "Tutor", - "dialogue": "Depending on your argument, where do you want it to be?" - }, - { - "start": "39:25.80", - "stop": "39:28.00", - "speaker": "Tutor", - "dialogue": "You want this to be point B, or this to be point B." - }, - { - "start": "39:30.84", - "stop": "39:32.88", - "speaker": "Student", - "dialogue": "Oh, this be point." - }, - { - "start": "39:32.96", - "stop": "39:37.52", - "speaker": "Tutor", - "dialogue": "B, then you would do an open circle here and a closed circle here." - }, - { - "start": "39:39.16", - "stop": "39:39.20", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "39:39.40", - "stop": "39:48.08", - "speaker": "Tutor", - "dialogue": "That means the car is going fifty miles per hour, infinitely close to point B, but at point B, it's instantly zero." - }, - { - "start": "39:50.08", - "stop": "39:50.12", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "39:50.28", - "stop": "39:55.12", - "speaker": "Tutor", - "dialogue": "Then it's zero miles per hour for thirty minutes, and then you'd have to decide" - }, - { - "start": "39:55.68", - "stop": "40:00.76", - "speaker": "Tutor", - "dialogue": "Thees, C at point C, is the car zero miles per hour, or is it fifty miles per hour?" - }, - { - "start": "40:09.96", - "stop": "40:15.68", - "speaker": "Student", - "dialogue": "Will be this one will be oak, nice." - }, - { - "start": "40:16.48", - "stop": "40:23.40", - "speaker": "Tutor", - "dialogue": "And this also assumes that a car instantly stops and a car instantly accelerates." - }, - { - "start": "40:25.48", - "stop": "40:25.72", - "speaker": "Student", - "dialogue": "Which?" - }, - { - "start": "40:26.68", - "stop": "40:28.64", - "speaker": "Tutor", - "dialogue": "Is that physically possible?" - }, - { - "start": "40:30.04", - "stop": "40:35.96", - "speaker": "Tutor", - "dialogue": "No, but if we're thinking about the way, we can graph it right now with the information that we have." - }, - { - "start": "40:37.56", - "stop": "40:37.72", - "speaker": "Student", - "dialogue": "Just." - }, - { - "start": "40:37.84", - "stop": "40:40.24", - "speaker": "Tutor", - "dialogue": "Knowing that with physics it's not instantly stopping." - }, - { - "start": "40:40.36", - "stop": "40:42.76", - "speaker": "Tutor", - "dialogue": "there's some deceleration and some acceleration." - }, - { - "start": "40:42.96", - "stop": "40:43.08", - "speaker": "Tutor", - "dialogue": "right." - }, - { - "start": "40:44.16", - "stop": "40:45.24", - "speaker": "Tutor", - "dialogue": "Yeah, cool." - }, - { - "start": "40:46.20", - "stop": "40:46.60", - "speaker": "Tutor", - "dialogue": "all right." - }, - { - "start": "40:47.40", - "stop": "40:56.64", - "speaker": "Tutor", - "dialogue": "We are out of time, but you have done an excellent job of sharing your amazingly powerful mathematical thinking to-day" - }, - { - "start": "40:58.00", - "stop": "40:58.04", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "40:58.28", - "stop": "40:59.68", - "speaker": "Tutor", - "dialogue": "Have a couple follow up questions." - }, - { - "start": "40:59.72", - "stop": "40:59.88", - "speaker": "Student", - "dialogue": "For you." - }, - { - "start": "41:01.12", - "stop": "41:06.12", - "speaker": "Tutor", - "dialogue": "First, what is something you think you learned or thought about differently as we worked together to-day" - }, - { - "start": "41:07.20", - "stop": "41:10.28", - "speaker": "Student", - "dialogue": "Probably breaking out, breaking down the steps." - }, - { - "start": "41:10.72", - "stop": "41:11.56", - "speaker": "Tutor", - "dialogue": "What do you mean by that?" - }, - { - "start": "41:13.08", - "stop": "41:18.36", - "speaker": "Student", - "dialogue": "Like going over each part and using specific words to help better understand." - }, - { - "start": "41:19.40", - "stop": "41:26.68", - "speaker": "Tutor", - "dialogue": "Yeah, so being able to look at a graph and make sense of what's going on in it, always remember these purple power words." - }, - { - "start": "41:27.20", - "stop": "41:32.36", - "speaker": "Tutor", - "dialogue": "No matter what the variables are, this one's always graphing something that's changing." - }, - { - "start": "41:33.16", - "stop": "41:40.12", - "speaker": "Tutor", - "dialogue": "This one's always graphing something that's changing and how they are changing in relationship to each other is always in the center." - }, - { - "start": "41:40.64", - "stop": "41:45.20", - "speaker": "Tutor", - "dialogue": "Remember these words, and to investigate graphs with that lens." - }, - { - "start": "41:48.44", - "stop": "41:53.84", - "speaker": "Tutor", - "dialogue": "And then also you know, you're helping us learn more about learning in this way for students." - }, - { - "start": "41:54.40", - "stop": "41:59.96", - "speaker": "Tutor", - "dialogue": "So your voice really matters what was helpful for you, What wasn't helpful for you." - }, - { - "start": "42:00.68", - "stop": "42:03.40", - "speaker": "Tutor", - "dialogue": "What should we continue doing or think about changing?" - }, - { - "start": "42:08.04", - "stop": "42:12.24", - "speaker": "Student", - "dialogue": "When I, a, when I get asked these questions in school, I really don't know what to say." - }, - { - "start": "42:13.52", - "stop": "42:15.32", - "speaker": "Tutor", - "dialogue": "Well good, it's pushing your thinking again." - }, - { - "start": "42:15.84", - "stop": "42:17.60", - "speaker": "Tutor", - "dialogue": "Think about something as a student." - }, - { - "start": "42:18.68", - "stop": "42:20.28", - "speaker": "Tutor", - "dialogue": "Other students that would be doing this." - }, - { - "start": "42:20.92", - "stop": "42:21.56", - "speaker": "Tutor", - "dialogue": "Do you think that?" - }, - { - "start": "42:21.72", - "stop": "42:27.24", - "speaker": "Tutor", - "dialogue": "Yeah, this would be a good thing to continue, Or ah, it would be if you change this or this." - }, - { - "start": "42:27.68", - "stop": "42:29.08", - "speaker": "Tutor", - "dialogue": "Just what was your experience like?" - }, - { - "start": "42:31.40", - "stop": "42:39.88", - "speaker": "Student", - "dialogue": "I think it's a good thing to continue like this and taking things slowly, cause in normal math class" - }, - { - "start": "42:40.40", - "stop": "42:48.52", - "speaker": "Student", - "dialogue": "the teacher will cover a huge range of topics in one day and then get the feece like overview." - }, - { - "start": "42:50.48", - "stop": "42:50.96", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "42:51.04", - "stop": "42:54.04", - "speaker": "Tutor", - "dialogue": "That's interesting because you also covered a huge range of topics." - }, - { - "start": "42:54.64", - "stop": "42:56.12", - "speaker": "Tutor", - "dialogue": "There was slopes in here." - }, - { - "start": "42:56.20", - "stop": "43:03.08", - "speaker": "Tutor", - "dialogue": "there's ratios, there's proportions, there's linear, there's peace wise, there's covariational reasoning." - }, - { - "start": "43:03.20", - "stop": "43:06.52", - "speaker": "Tutor", - "dialogue": "You have all sorts of stuff that you were thinking and putting together today as well." - }, - { - "start": "43:06.68", - "stop": "43:09.16", - "speaker": "Tutor", - "dialogue": "That's why I know you're such a powerful mathematical thinker." - }, - { - "start": "43:11.20", - "stop": "43:11.48", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "43:11.56", - "stop": "43:19.64", - "speaker": "Tutor", - "dialogue": "Stuff, and my, my thing that I hope you remember always, no matter what is that own that." - }, - { - "start": "43:21.28", - "stop": "43:21.40", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "43:21.52", - "stop": "43:23.48", - "speaker": "Tutor", - "dialogue": "More like, I think I'm confident." - }, - { - "start": "43:23.80", - "stop": "43:25.20", - "speaker": "Tutor", - "dialogue": "Yes, you got it." - }, - { - "start": "43:25.76", - "stop": "43:29.12", - "speaker": "Tutor", - "dialogue": "You're powerful, own your mathematical power, do." - }, - { - "start": "43:30.44", - "stop": "43:30.60", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "43:30.92", - "stop": "43:34.04", - "speaker": "Tutor", - "dialogue": "Okay, it was so awesome to get to learn with you to-day" - }, - { - "start": "43:35.56", - "stop": "43:35.72", - "speaker": "Student", - "dialogue": "Thank." - }, - { - "start": "43:35.76", - "stop": "43:36.52", - "speaker": "Tutor", - "dialogue": "You for adjoining?" - }, - { - "start": "43:38.40", - "stop": "43:38.64", - "speaker": "Student", - "dialogue": "Thanks." - }, - { - "start": "43:39.44", - "stop": "43:40.12", - "speaker": "Tutor", - "dialogue": "Have a great day." - }, - { - "start": "43:40.68", - "stop": "43:40.72", - "speaker": "Student", - "dialogue": "You?" - } -] \ No newline at end of file diff --git a/data/amber/7132022JH.json b/data/amber/7132022JH.json deleted file mode 100644 index e93073d..0000000 --- a/data/amber/7132022JH.json +++ /dev/null @@ -1,3758 +0,0 @@ -[ - { - "start": "00:00.00", - "stop": "00:01.64", - "speaker": "Student", - "dialogue": "I'm going to change the screen." - }, - { - "start": "00:03.16", - "stop": "00:04.72", - "speaker": "Student", - "dialogue": "You see something different on your screen." - }, - { - "start": "00:04.80", - "stop": "00:05.00", - "speaker": "Student", - "dialogue": "Now?" - }, - { - "start": "00:05.56", - "stop": "00:07.92", - "speaker": "Student", - "dialogue": "Yeah, nice, so take a minute to read it." - }, - { - "start": "00:08.48", - "stop": "00:12.68", - "speaker": "Student", - "dialogue": "look at it and then describe what you think is happening in this situation." - }, - { - "start": "00:25.12", - "stop": "00:25.28", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "00:25.68", - "stop": "00:32.40", - "speaker": "Student", - "dialogue": "So I see a a line where it goes from the providance." - }, - { - "start": "00:33.72", - "stop": "00:33.76", - "speaker": "Tutor", - "dialogue": "To." - }, - { - "start": "00:34.52", - "stop": "00:35.56", - "speaker": "Student", - "dialogue": "Newwork." - }, - { - "start": "00:36.72", - "stop": "00:36.76", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "00:37.08", - "stop": "00:38.88", - "speaker": "Student", - "dialogue": "It passes through New York City." - }, - { - "start": "00:40.84", - "stop": "00:40.88", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "00:41.00", - "stop": "00:43.96", - "speaker": "Student", - "dialogue": "Do you think that line represents in this situation?" - }, - { - "start": "00:44.92", - "stop": "00:47.52", - "speaker": "Student", - "dialogue": "I think it represents the car journey." - }, - { - "start": "00:49.12", - "stop": "00:49.56", - "speaker": "Student", - "dialogue": "exactly." - }, - { - "start": "00:49.76", - "stop": "00:51.80", - "speaker": "Student", - "dialogue": "Yep, it's the road or the highway." - }, - { - "start": "00:52.80", - "stop": "00:52.92", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "00:53.04", - "stop": "00:54.20", - "speaker": "Student", - "dialogue": "in fact, it's an innerstate." - }, - { - "start": "00:54.28", - "stop": "00:55.28", - "speaker": "Student", - "dialogue": "So that's what that means" - }, - { - "start": "00:55.76", - "stop": "01:01.80", - "speaker": "Student", - "dialogue": "That the car is traveling on as it goes from this city down to this city." - }, - { - "start": "01:05.08", - "stop": "01:05.12", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "01:05.80", - "stop": "01:09.60", - "speaker": "Student", - "dialogue": "What are some things that you think we could measure in this situation?" - }, - { - "start": "01:11.36", - "stop": "01:11.52", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "01:11.64", - "stop": "01:13.48", - "speaker": "Student", - "dialogue": "I think we could measure the line." - }, - { - "start": "01:14.68", - "stop": "01:14.88", - "speaker": "Tutor", - "dialogue": "Which?" - }, - { - "start": "01:15.04", - "stop": "01:18.08", - "speaker": "Student", - "dialogue": "Is the car journey and I think we can measure like?" - }, - { - "start": "01:19.72", - "stop": "01:19.84", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "01:20.72", - "stop": "01:22.08", - "speaker": "Student", - "dialogue": "The distance between." - }, - { - "start": "01:24.44", - "stop": "01:24.64", - "speaker": "Tutor", - "dialogue": "Par." - }, - { - "start": "01:26.16", - "stop": "01:27.00", - "speaker": "Student", - "dialogue": "Previdence." - }, - { - "start": "01:28.04", - "stop": "01:28.08", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "01:28.48", - "stop": "01:28.96", - "speaker": "Student", - "dialogue": "Newark." - }, - { - "start": "01:31.76", - "stop": "01:31.88", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "01:31.92", - "stop": "01:35.52", - "speaker": "Student", - "dialogue": "We were going to measure the distance between Providence and Newark." - }, - { - "start": "01:35.96", - "stop": "01:38.12", - "speaker": "Student", - "dialogue": "What unit would we use to measure that?" - }, - { - "start": "01:40.08", - "stop": "01:40.12", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "01:41.28", - "stop": "01:42.44", - "speaker": "Student", - "dialogue": "I guess miles." - }, - { - "start": "01:45.80", - "stop": "01:45.88", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "01:45.96", - "stop": "01:49.76", - "speaker": "Student", - "dialogue": "There any other things that we could measure in this situation, Mm." - }, - { - "start": "01:50.52", - "stop": "01:50.56", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "01:50.64", - "stop": "01:58.40", - "speaker": "Student", - "dialogue": "Guess you could also measure like New York, like the distance from New York City, and the dis like to the distance of Newark." - }, - { - "start": "01:59.36", - "stop": "01:59.40", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "01:59.52", - "stop": "02:00.68", - "speaker": "Student", - "dialogue": "We can measure distance" - }, - { - "start": "02:01.12", - "stop": "02:03.12", - "speaker": "Student", - "dialogue": "Oor, um, different points along." - }, - { - "start": "02:03.20", - "stop": "02:05.60", - "speaker": "Student", - "dialogue": "Yeah, this journey cool." - }, - { - "start": "02:06.36", - "stop": "02:06.96", - "speaker": "Student", - "dialogue": "anything else?" - }, - { - "start": "02:07.96", - "stop": "02:08.12", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "02:08.52", - "stop": "02:08.64", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "02:09.48", - "stop": "02:09.72", - "speaker": "Tutor", - "dialogue": "Oy." - }, - { - "start": "02:10.48", - "stop": "02:15.44", - "speaker": "Student", - "dialogue": "I'm going to uncover something and then you tell me how it's similar or different to what you were thinking about." - }, - { - "start": "02:24.00", - "stop": "02:24.92", - "speaker": "Tutor", - "dialogue": "O, um." - }, - { - "start": "02:25.28", - "stop": "02:30.24", - "speaker": "Student", - "dialogue": "It's similar because I also thought of distance in miles." - }, - { - "start": "02:30.84", - "stop": "02:36.16", - "speaker": "Student", - "dialogue": "Um, It's different because I didn't think about like the time and the hours it would like." - }, - { - "start": "02:36.40", - "stop": "02:36.68", - "speaker": "Tutor", - "dialogue": "Take." - }, - { - "start": "02:37.60", - "stop": "02:40.44", - "speaker": "Student", - "dialogue": "So so is that something else that we could measure?" - }, - { - "start": "02:41.36", - "stop": "02:46.44", - "speaker": "Student", - "dialogue": "Yeah, the time it takes to get to different points, and we, we, as the unit of hours." - }, - { - "start": "02:48.72", - "stop": "02:57.00", - "speaker": "Student", - "dialogue": "So now as you look at the map and the graph, explain what's happening during each section of the journey." - }, - { - "start": "03:11.40", - "stop": "03:11.76", - "speaker": "Tutor", - "dialogue": "Tora." - }, - { - "start": "03:11.84", - "stop": "03:13.20", - "speaker": "Student", - "dialogue": "I le so kind to think." - }, - { - "start": "03:14.60", - "stop": "03:15.12", - "speaker": "Tutor", - "dialogue": "Beautiful." - }, - { - "start": "03:15.40", - "stop": "03:16.56", - "speaker": "Student", - "dialogue": "Good job of verbalizing that." - }, - { - "start": "03:16.76", - "stop": "03:22.40", - "speaker": "Student", - "dialogue": "I'll give you as much time as you think if you have, or the you need if you have questions, or need any clarification." - }, - { - "start": "03:22.48", - "stop": "03:23.32", - "speaker": "Student", - "dialogue": "Feel free to ask." - }, - { - "start": "03:24.20", - "stop": "03:24.60", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "03:32.64", - "stop": "03:32.76", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "03:32.84", - "stop": "03:32.88", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "03:33.04", - "stop": "03:33.72", - "speaker": "Student", - "dialogue": "Have a question." - }, - { - "start": "03:34.04", - "stop": "03:36.16", - "speaker": "Student", - "dialogue": "Is this like grapt about?" - }, - { - "start": "03:36.32", - "stop": "03:39.40", - "speaker": "Student", - "dialogue": "like the distance from Um?" - }, - { - "start": "03:41.92", - "stop": "03:41.96", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "03:42.28", - "stop": "03:47.72", - "speaker": "Student", - "dialogue": "The Providence to Newark, or like O distance?" - }, - { - "start": "03:48.20", - "stop": "03:49.16", - "speaker": "Student", - "dialogue": "Yes, good question." - }, - { - "start": "03:49.40", - "stop": "03:54.80", - "speaker": "Student", - "dialogue": "Yes, this graph is representing that same journey from Providence to Newark." - }, - { - "start": "04:15.12", - "stop": "04:15.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:15.64", - "stop": "04:19.16", - "speaker": "Student", - "dialogue": "Um, so I think this graph like represents?" - }, - { - "start": "04:19.96", - "stop": "04:20.00", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "04:21.20", - "stop": "04:25.48", - "speaker": "Student", - "dialogue": "Per hour, how much the car travels in miles?" - }, - { - "start": "04:26.80", - "stop": "04:30.36", - "speaker": "Student", - "dialogue": "Okay, Yeah, so for example, like one hour." - }, - { - "start": "04:31.44", - "stop": "04:31.60", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "04:32.16", - "stop": "04:39.88", - "speaker": "Student", - "dialogue": "The car would travel fifty miles from what section to what section um from Providence to." - }, - { - "start": "04:41.04", - "stop": "04:41.52", - "speaker": "Tutor", - "dialogue": "Newark." - }, - { - "start": "04:42.56", - "stop": "04:54.00", - "speaker": "Student", - "dialogue": "So, when you said the car would travel fifty miles and it would take one hour to do that, Yeah, show me where you see that on the map and you can use your writing tools to label that." - }, - { - "start": "05:09.32", - "stop": "05:09.36", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "05:09.52", - "stop": "05:11.92", - "speaker": "Student", - "dialogue": "Wul estimate Itu will be like around here." - }, - { - "start": "05:12.80", - "stop": "05:13.72", - "speaker": "Student", - "dialogue": "What point would that be?" - }, - { - "start": "05:15.00", - "stop": "05:15.12", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "05:15.96", - "stop": "05:18.00", - "speaker": "Student", - "dialogue": "Point B, Nice label it." - }, - { - "start": "05:24.32", - "stop": "05:24.36", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "05:24.56", - "stop": "05:26.68", - "speaker": "Student", - "dialogue": "Where would point a be located?" - }, - { - "start": "05:34.72", - "stop": "05:34.76", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "05:34.88", - "stop": "05:40.28", - "speaker": "Student", - "dialogue": "I heard you talk about distance of fifty miles an hour, one hour." - }, - { - "start": "05:41.12", - "stop": "05:44.80", - "speaker": "Student", - "dialogue": "How did that help you determine where to put Point B?" - }, - { - "start": "05:47.32", - "stop": "05:47.48", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "05:47.88", - "stop": "05:48.48", - "speaker": "Student", - "dialogue": "I just like." - }, - { - "start": "05:49.80", - "stop": "05:50.32", - "speaker": "Tutor", - "dialogue": "Assumed." - }, - { - "start": "05:50.52", - "stop": "06:00.80", - "speaker": "Student", - "dialogue": "That point F was like the final, like destination, which would be one fifty, and like, I just estimated that it would be like." - }, - { - "start": "06:02.52", - "stop": "06:02.76", - "speaker": "Tutor", - "dialogue": "Less." - }, - { - "start": "06:02.88", - "stop": "06:16.20", - "speaker": "Student", - "dialogue": "Than a half, but like not at the beginning at point A. so I just assumed that it would be like around where I put point B. Ah, So you were paying attention to the total miles?" - }, - { - "start": "06:16.48", - "stop": "06:20.04", - "speaker": "Student", - "dialogue": "Is that why you went here first with your Yeah, and then to here?" - }, - { - "start": "06:20.84", - "stop": "06:21.52", - "speaker": "Student", - "dialogue": "Yeah, Nice." - }, - { - "start": "06:21.56", - "stop": "06:22.72", - "speaker": "Student", - "dialogue": "so let's label that down here." - }, - { - "start": "06:22.88", - "stop": "06:28.40", - "speaker": "Student", - "dialogue": "This is what you saw as point F. Yeah, Ok on your graph." - }, - { - "start": "06:29.84", - "stop": "06:30.12", - "speaker": "Tutor", - "dialogue": "Point." - }, - { - "start": "06:30.24", - "stop": "06:34.12", - "speaker": "Student", - "dialogue": "A to B is a straight line on the map." - }, - { - "start": "06:34.72", - "stop": "06:36.68", - "speaker": "Student", - "dialogue": "Point A to B has some curves." - }, - { - "start": "06:37.52", - "stop": "06:38.04", - "speaker": "Student", - "dialogue": "How come?" - }, - { - "start": "06:45.80", - "stop": "06:45.84", - "speaker": "Tutor", - "dialogue": "Es." - }, - { - "start": "06:46.92", - "stop": "06:47.16", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "06:47.32", - "stop": "06:47.48", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "06:47.52", - "stop": "06:47.56", - "speaker": "Student", - "dialogue": "Not." - }, - { - "start": "06:47.72", - "stop": "06:47.92", - "speaker": "Tutor", - "dialogue": "Really?" - }, - { - "start": "06:48.00", - "stop": "06:50.24", - "speaker": "Student", - "dialogue": "Sure, nice." - }, - { - "start": "06:50.36", - "stop": "06:51.64", - "speaker": "Student", - "dialogue": "Do you know what happens when you say" - }, - { - "start": "06:51.76", - "stop": "06:53.04", - "speaker": "Student", - "dialogue": "I'm not sure or I don't know?" - }, - { - "start": "06:54.52", - "stop": "06:55.84", - "speaker": "Student", - "dialogue": "It means you're going to learn some." - }, - { - "start": "06:55.96", - "stop": "06:57.20", - "speaker": "Student", - "dialogue": "It means you're going to learn something." - }, - { - "start": "06:57.68", - "stop": "07:00.12", - "speaker": "Student", - "dialogue": "Oh yeah, so it's really cool to be like." - }, - { - "start": "07:00.24", - "stop": "07:00.60", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "07:00.84", - "stop": "07:01.40", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "07:01.84", - "stop": "07:04.08", - "speaker": "Student", - "dialogue": "that's just the way of verbalizing that sweet." - }, - { - "start": "07:04.60", - "stop": "07:09.44", - "speaker": "Student", - "dialogue": "I'm going to learn something okay, so let's explore that some more." - }, - { - "start": "07:10.16", - "stop": "07:12.60", - "speaker": "Student", - "dialogue": "I am going to type out some words." - }, - { - "start": "07:14.32", - "stop": "07:14.36", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "07:14.52", - "stop": "07:16.40", - "speaker": "Student", - "dialogue": "I want to challenge you to use." - }, - { - "start": "07:18.84", - "stop": "07:18.96", - "speaker": "Tutor", - "dialogue": "As." - }, - { - "start": "07:19.04", - "stop": "07:20.60", - "speaker": "Student", - "dialogue": "I ask you thinking questions." - }, - { - "start": "07:23.92", - "stop": "07:23.96", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "07:24.20", - "stop": "07:29.24", - "speaker": "Student", - "dialogue": "They are increasing, decreasing and staying the same." - }, - { - "start": "07:30.76", - "stop": "07:30.96", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "07:31.04", - "stop": "07:40.80", - "speaker": "Student", - "dialogue": "In a circle Im in purple when I refer to the purple power words, I want you to think about those words and also using these words." - }, - { - "start": "07:41.96", - "stop": "07:42.12", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "07:42.36", - "stop": "07:50.92", - "speaker": "Student", - "dialogue": "Ok, so from A to B, what's happening and use those purple words in your answer?" - }, - { - "start": "07:52.72", - "stop": "07:52.88", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "07:55.80", - "stop": "07:56.00", - "speaker": "Student", - "dialogue": "Per." - }, - { - "start": "07:56.44", - "stop": "07:57.68", - "speaker": "Tutor", - "dialogue": "Oh, hold on, um?" - }, - { - "start": "07:59.08", - "stop": "08:01.32", - "speaker": "Student", - "dialogue": "So the distance?" - }, - { - "start": "08:02.36", - "stop": "08:05.96", - "speaker": "Student", - "dialogue": "No, wait, no, the miles is increasing." - }, - { - "start": "08:06.84", - "stop": "08:07.92", - "speaker": "Tutor", - "dialogue": "As the time." - }, - { - "start": "08:08.68", - "stop": "08:09.96", - "speaker": "Student", - "dialogue": "Is also increasing?" - }, - { - "start": "08:11.16", - "stop": "08:11.48", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "08:11.92", - "stop": "08:19.84", - "speaker": "Student", - "dialogue": "So from A to B, the miles is increasing as the time is increasing." - }, - { - "start": "08:20.64", - "stop": "08:20.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "08:21.40", - "stop": "08:21.72", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "08:22.40", - "stop": "08:23.40", - "speaker": "Student", - "dialogue": "Or did you say hours?" - }, - { - "start": "08:25.08", - "stop": "08:25.28", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "08:25.32", - "stop": "08:39.24", - "speaker": "Student", - "dialogue": "No, I said the time Oky, So from A to B, the miles is increasing as the time is increasing, And you can tell that how, because the line goes up up in the ground, so how much?" - }, - { - "start": "08:41.84", - "stop": "08:41.96", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "08:42.12", - "stop": "08:43.72", - "speaker": "Student", - "dialogue": "Each of those things increasing by." - }, - { - "start": "08:45.32", - "stop": "08:45.44", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "08:45.80", - "stop": "08:46.56", - "speaker": "Student", - "dialogue": "For our." - }, - { - "start": "08:47.48", - "stop": "08:47.52", - "speaker": "Tutor", - "dialogue": "For." - }, - { - "start": "08:47.76", - "stop": "08:53.76", - "speaker": "Student", - "dialogue": "The time it is one hour, while in distance it's fifty miles." - }, - { - "start": "08:54.64", - "stop": "09:00.84", - "speaker": "Student", - "dialogue": "Okay, so from A to B, the distance is increasing by fifty miles." - }, - { - "start": "09:01.64", - "stop": "09:04.44", - "speaker": "Student", - "dialogue": "Yeah, and the time?" - }, - { - "start": "09:06.76", - "stop": "09:06.80", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "09:07.04", - "stop": "09:10.52", - "speaker": "Student", - "dialogue": "Increasing by how much by an hour?" - }, - { - "start": "09:12.24", - "stop": "09:12.32", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "09:12.44", - "stop": "09:13.68", - "speaker": "Student", - "dialogue": "Right, did I capture thatup?" - }, - { - "start": "09:14.36", - "stop": "09:23.28", - "speaker": "Student", - "dialogue": "Yeah, so the graph is showing this increase of distance and this increase of time." - }, - { - "start": "09:24.48", - "stop": "09:28.72", - "speaker": "Student", - "dialogue": "Do you see an increase of distance and an increase of time on the map?" - }, - { - "start": "09:29.00", - "stop": "09:29.28", - "speaker": "Student", - "dialogue": "also?" - }, - { - "start": "09:31.88", - "stop": "09:31.92", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "09:32.96", - "stop": "09:34.28", - "speaker": "Student", - "dialogue": "I say so okay." - }, - { - "start": "09:34.40", - "stop": "09:35.84", - "speaker": "Student", - "dialogue": "Actually, no hold on." - }, - { - "start": "09:36.36", - "stop": "09:43.00", - "speaker": "Student", - "dialogue": "I don't see like a increase of time, but I would like think that." - }, - { - "start": "09:44.16", - "stop": "09:44.56", - "speaker": "Tutor", - "dialogue": "It would." - }, - { - "start": "09:44.72", - "stop": "09:45.92", - "speaker": "Student", - "dialogue": "Increase in miles." - }, - { - "start": "09:46.56", - "stop": "09:49.24", - "speaker": "Student", - "dialogue": "How much I, how much would it increase in miles?" - }, - { - "start": "09:51.00", - "stop": "09:51.28", - "speaker": "Tutor", - "dialogue": "Um, I." - }, - { - "start": "09:51.36", - "stop": "09:56.72", - "speaker": "Student", - "dialogue": "Don't think you could tell that by the map, but I think like you could like, kind of assume." - }, - { - "start": "09:57.64", - "stop": "09:57.88", - "speaker": "Tutor", - "dialogue": "Since?" - }, - { - "start": "09:57.96", - "stop": "10:01.24", - "speaker": "Student", - "dialogue": "We know the map and the graph are about the same situation." - }, - { - "start": "10:02.12", - "stop": "10:06.76", - "speaker": "Student", - "dialogue": "Do we have enough information to know how much increase has happened on the map?" - }, - { - "start": "10:09.12", - "stop": "10:13.72", - "speaker": "Student", - "dialogue": "How many miles have been travelled from A to B? Fifty, Ok." - }, - { - "start": "10:14.08", - "stop": "10:15.12", - "speaker": "Student", - "dialogue": "Label that on the map." - }, - { - "start": "10:30.52", - "stop": "10:30.56", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "10:30.80", - "stop": "10:38.52", - "speaker": "Student", - "dialogue": "Mathematicians love to abbreviate, so if you don't want to write the full words out, you can abbreviate in a way that makes sense for you, too." - }, - { - "start": "10:39.36", - "stop": "10:39.64", - "speaker": "Student", - "dialogue": "Oky." - }, - { - "start": "10:39.92", - "stop": "10:48.56", - "speaker": "Student", - "dialogue": "Okay, so the is fifty miles this point b, or is fifty miles representing this entire section of road?" - }, - { - "start": "10:51.04", - "stop": "10:51.08", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "10:51.24", - "stop": "10:52.96", - "speaker": "Student", - "dialogue": "Think it's just point from point" - }, - { - "start": "10:53.04", - "stop": "10:54.52", - "speaker": "Student", - "dialogue": "A to B. So" - }, - { - "start": "10:54.80", - "stop": "11:02.36", - "speaker": "Student", - "dialogue": "is it just points or is fifty miles talking about the entire distance that has been traveled from point A to point B?" - }, - { - "start": "11:03.80", - "stop": "11:08.80", - "speaker": "Student", - "dialogue": "I think it's talking about just the distance between point A. B. Yeah, it is." - }, - { - "start": "11:08.92", - "stop": "11:15.12", - "speaker": "Student", - "dialogue": "It's talking about the amount of distance from here to here and you are." - }, - { - "start": "11:15.40", - "stop": "11:16.68", - "speaker": "Student", - "dialogue": "That was very savvy like" - }, - { - "start": "11:16.84", - "stop": "11:18.60", - "speaker": "Student", - "dialogue": "it's hard to see time on the map." - }, - { - "start": "11:19.48", - "stop": "11:21.12", - "speaker": "Student", - "dialogue": "We can see distance easier." - }, - { - "start": "11:22.16", - "stop": "11:27.60", - "speaker": "Student", - "dialogue": "but do we know how much time has passed when they're travelling from A to B?" - }, - { - "start": "11:28.40", - "stop": "11:30.64", - "speaker": "Student", - "dialogue": "Well from the graph, do we know" - }, - { - "start": "11:31.92", - "stop": "11:34.64", - "speaker": "Student", - "dialogue": "Ok, so we can use that information to label the map." - }, - { - "start": "11:35.60", - "stop": "11:37.84", - "speaker": "Student", - "dialogue": "How much time has passed from A to B?" - }, - { - "start": "11:39.04", - "stop": "11:40.84", - "speaker": "Student", - "dialogue": "One hour, quoth label that." - }, - { - "start": "11:41.12", - "stop": "11:42.32", - "speaker": "Student", - "dialogue": "somehow, that makes sense for you." - }, - { - "start": "11:49.32", - "stop": "11:49.36", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "11:49.64", - "stop": "11:56.40", - "speaker": "Student", - "dialogue": "Now we have a Kirby road and a straight line for the same section." - }, - { - "start": "11:59.80", - "stop": "12:00.00", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "12:01.20", - "stop": "12:03.00", - "speaker": "Student", - "dialogue": "What are each of them keeping track of?" - }, - { - "start": "12:06.60", - "stop": "12:06.64", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "12:06.88", - "stop": "12:07.60", - "speaker": "Student", - "dialogue": "Think for the." - }, - { - "start": "12:08.84", - "stop": "12:08.88", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "12:09.08", - "stop": "12:17.60", - "speaker": "Student", - "dialogue": "Map, it's keeping track of the car journey, while the graph is keeping track of like the distance." - }, - { - "start": "12:19.20", - "stop": "12:19.92", - "speaker": "Tutor", - "dialogue": "Specifically." - }, - { - "start": "12:20.16", - "stop": "12:31.68", - "speaker": "Student", - "dialogue": "From point to B, Yeah, the graph is keeping track of the distance and the time from point to to point B. And the map is keeping track of what the road looked like that they were traveling on." - }, - { - "start": "12:32.24", - "stop": "12:38.24", - "speaker": "Student", - "dialogue": "So can, even though I have some curves here, can I still travel fifty miles per one hour?" - }, - { - "start": "12:40.68", - "stop": "12:40.84", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "12:42.04", - "stop": "12:45.40", - "speaker": "Student", - "dialogue": "Yeah, yeah, the road doesn't have to be straight for me to do that." - }, - { - "start": "12:47.68", - "stop": "12:47.88", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "12:48.56", - "stop": "12:51.64", - "speaker": "Student", - "dialogue": "Yeah, okay, where would the rest of these points be?" - }, - { - "start": "12:54.24", - "stop": "12:54.40", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "12:54.80", - "stop": "13:04.60", - "speaker": "Student", - "dialogue": "Do I write it Dow, Yup, so you start labeling and then again know that I'm going to ask you to justify why you put the point where you did using those purple words." - }, - { - "start": "13:09.52", - "stop": "13:09.76", - "speaker": "Tutor", - "dialogue": "See?" - }, - { - "start": "13:29.96", - "stop": "13:30.00", - "speaker": "Student", - "dialogue": "S." - }, - { - "start": "13:40.24", - "stop": "13:40.28", - "speaker": "Tutor", - "dialogue": "X." - }, - { - "start": "15:02.32", - "stop": "15:02.36", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "16:08.04", - "stop": "16:08.32", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "16:09.56", - "stop": "16:09.84", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "16:10.32", - "stop": "16:10.68", - "speaker": "Tutor", - "dialogue": "Choose." - }, - { - "start": "16:11.04", - "stop": "16:17.24", - "speaker": "Student", - "dialogue": "One, let's do C to D. Why dot the points?" - }, - { - "start": "16:17.40", - "stop": "16:17.68", - "speaker": "Student", - "dialogue": "Actually?" - }, - { - "start": "16:17.76", - "stop": "16:21.56", - "speaker": "Student", - "dialogue": "No, Yeah, why did you put C where you did and then D?" - }, - { - "start": "16:22.96", - "stop": "16:23.12", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "16:23.52", - "stop": "16:28.04", - "speaker": "Student", - "dialogue": "Because I put C in the same position as B, because." - }, - { - "start": "16:28.96", - "stop": "16:29.00", - "speaker": "Tutor", - "dialogue": "On." - }, - { - "start": "16:29.24", - "stop": "16:30.80", - "speaker": "Student", - "dialogue": "The grass it's like." - }, - { - "start": "16:31.92", - "stop": "16:31.96", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "16:32.84", - "stop": "16:34.56", - "speaker": "Student", - "dialogue": "Distance stayed the same." - }, - { - "start": "16:35.24", - "stop": "16:40.12", - "speaker": "Student", - "dialogue": "It still stays fifty miles while the time increased." - }, - { - "start": "16:40.92", - "stop": "17:01.68", - "speaker": "Student", - "dialogue": "so then I put D over there, because, Um, estimating it's about two point five miles, and from C to D, it increased by fifty miles, so I put it like approximately around, like fifty miles." - }, - { - "start": "17:02.88", - "stop": "17:04.20", - "speaker": "Tutor", - "dialogue": "Like on the map, Yeah." - }, - { - "start": "17:04.64", - "stop": "17:14.44", - "speaker": "Student", - "dialogue": "Nice and good explanation and using those words, Um, I'm also curious about D to e. Why is D to E bumpy on the graph?" - }, - { - "start": "17:16.16", - "stop": "17:16.32", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "17:16.52", - "stop": "17:18.32", - "speaker": "Student", - "dialogue": "I think it's because there's no like." - }, - { - "start": "17:20.80", - "stop": "17:20.84", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "17:21.48", - "stop": "17:32.68", - "speaker": "Student", - "dialogue": "Ratio of distance to time, like for example, A to B. It's like the whole road is just one mile." - }, - { - "start": "17:33.52", - "stop": "17:36.84", - "speaker": "Student", - "dialogue": "Not sorry, one hour to fifty miles." - }, - { - "start": "17:37.36", - "stop": "17:41.72", - "speaker": "Student", - "dialogue": "While D to E. it's like changing." - }, - { - "start": "17:42.68", - "stop": "17:42.72", - "speaker": "Student", - "dialogue": "Uh." - }, - { - "start": "17:43.12", - "stop": "17:46.68", - "speaker": "Student", - "dialogue": "what's the it that is staying the same from A to B?" - }, - { - "start": "17:47.16", - "stop": "17:49.96", - "speaker": "Student", - "dialogue": "And what's the it that's changing from D to E?" - }, - { - "start": "17:52.48", - "stop": "17:52.60", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "18:03.92", - "stop": "18:04.08", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "18:13.36", - "stop": "18:13.56", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "18:13.68", - "stop": "18:13.72", - "speaker": "Student", - "dialogue": "Not." - }, - { - "start": "18:13.88", - "stop": "18:14.12", - "speaker": "Tutor", - "dialogue": "Really?" - }, - { - "start": "18:14.24", - "stop": "18:18.56", - "speaker": "Student", - "dialogue": "Sure, my favorite thing in the world as a teacher is when you go." - }, - { - "start": "18:19.08", - "stop": "18:19.12", - "speaker": "Student", - "dialogue": "H." - }, - { - "start": "18:20.32", - "stop": "18:20.36", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "18:20.44", - "stop": "18:22.28", - "speaker": "Student", - "dialogue": "Don't know that means what." - }, - { - "start": "18:23.76", - "stop": "18:26.52", - "speaker": "Student", - "dialogue": "Oh, I get to learn something this cool." - }, - { - "start": "18:26.84", - "stop": "18:28.36", - "speaker": "Student", - "dialogue": "Okay, So you're right." - }, - { - "start": "18:28.68", - "stop": "18:30.96", - "speaker": "Student", - "dialogue": "Something is staying the same from A to B." - }, - { - "start": "18:32.20", - "stop": "18:32.24", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "18:32.72", - "stop": "18:35.72", - "speaker": "Student", - "dialogue": "We would say something is constant from A to B." - }, - { - "start": "18:37.36", - "stop": "18:37.40", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "18:37.96", - "stop": "18:44.28", - "speaker": "Student", - "dialogue": "That same something is changing from D to E. so we would say it is varying." - }, - { - "start": "18:46.36", - "stop": "18:46.40", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "18:46.72", - "stop": "18:54.84", - "speaker": "Student", - "dialogue": "Is staying the same from A to B if we're keeping track of distance in terms of miles and then hours?" - }, - { - "start": "19:08.52", - "stop": "19:08.56", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "19:08.76", - "stop": "19:08.80", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "19:08.88", - "stop": "19:09.04", - "speaker": "Tutor", - "dialogue": "Car." - }, - { - "start": "19:09.28", - "stop": "19:09.76", - "speaker": "Student", - "dialogue": "Travelling." - }, - { - "start": "19:10.16", - "stop": "19:10.20", - "speaker": "Tutor", - "dialogue": "In." - }, - { - "start": "19:10.36", - "stop": "19:13.96", - "speaker": "Student", - "dialogue": "The same way this whole journey." - }, - { - "start": "19:15.00", - "stop": "19:16.76", - "speaker": "Student", - "dialogue": "No, what's different?" - }, - { - "start": "19:16.84", - "stop": "19:17.52", - "speaker": "Student", - "dialogue": "What's changing?" - }, - { - "start": "19:19.20", - "stop": "19:19.24", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "19:19.44", - "stop": "19:23.40", - "speaker": "Student", - "dialogue": "Car path, Yeah, the curves of the road change also." - }, - { - "start": "19:25.24", - "stop": "19:25.28", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "19:25.40", - "stop": "19:33.36", - "speaker": "Student", - "dialogue": "You said something from B to C. They're at the same point because of Y, because the distance stays the same." - }, - { - "start": "19:35.12", - "stop": "19:35.16", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "19:35.40", - "stop": "19:37.32", - "speaker": "Student", - "dialogue": "Is the car going or is it stopped?" - }, - { - "start": "19:38.16", - "stop": "19:42.84", - "speaker": "Student", - "dialogue": "It's stopped from A to B. Is the car going or is it stopped?" - }, - { - "start": "19:43.68", - "stop": "19:44.48", - "speaker": "Student", - "dialogue": "It's going." - }, - { - "start": "19:45.44", - "stop": "19:46.64", - "speaker": "Student", - "dialogue": "What about from C to D?" - }, - { - "start": "19:47.60", - "stop": "19:48.36", - "speaker": "Student", - "dialogue": "It's going." - }, - { - "start": "19:48.92", - "stop": "19:50.08", - "speaker": "Student", - "dialogue": "What about from D to E?" - }, - { - "start": "19:51.48", - "stop": "19:51.52", - "speaker": "Tutor", - "dialogue": "M." - }, - { - "start": "19:51.80", - "stop": "19:55.36", - "speaker": "Student", - "dialogue": "It's it's stop and gone." - }, - { - "start": "19:56.56", - "stop": "20:00.32", - "speaker": "Student", - "dialogue": "Yeah, stopping and going, stopping and going, stopping and going." - }, - { - "start": "20:00.80", - "stop": "20:01.80", - "speaker": "Student", - "dialogue": "So what's staying?" - }, - { - "start": "20:01.96", - "stop": "20:04.04", - "speaker": "Student", - "dialogue": "The same and what's changing?" - }, - { - "start": "20:05.88", - "stop": "20:06.08", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "20:06.56", - "stop": "20:06.68", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "20:08.56", - "stop": "20:08.60", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "20:08.84", - "stop": "20:11.20", - "speaker": "Student", - "dialogue": "Distance is staying the same, but." - }, - { - "start": "20:12.96", - "stop": "20:14.20", - "speaker": "Tutor", - "dialogue": "The um." - }, - { - "start": "20:16.68", - "stop": "20:19.52", - "speaker": "Student", - "dialogue": "The amount of time stopped changes." - }, - { - "start": "20:21.64", - "stop": "20:21.68", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "20:21.76", - "stop": "20:23.28", - "speaker": "Student", - "dialogue": "Distance is staying the same where." - }, - { - "start": "20:25.08", - "stop": "20:25.20", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "20:25.48", - "stop": "20:25.72", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "20:28.28", - "stop": "20:28.32", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "20:28.72", - "stop": "20:33.12", - "speaker": "Student", - "dialogue": "To E, but up here I thought you told me that the distance is increasing." - }, - { - "start": "20:36.04", - "stop": "20:36.28", - "speaker": "Tutor", - "dialogue": "Hold." - }, - { - "start": "20:36.36", - "stop": "20:40.08", - "speaker": "Student", - "dialogue": "Up, sweet, take some time to think." - }, - { - "start": "21:14.16", - "stop": "21:14.36", - "speaker": "Tutor", - "dialogue": "Hold." - }, - { - "start": "21:14.44", - "stop": "21:16.24", - "speaker": "Student", - "dialogue": "On, can you ask me a question again?" - }, - { - "start": "21:16.68", - "stop": "21:16.72", - "speaker": "Student", - "dialogue": "U?" - }, - { - "start": "21:17.80", - "stop": "21:23.92", - "speaker": "Student", - "dialogue": "So you talked about the car going and stopping and going, stopping, going, stopping going." - }, - { - "start": "21:24.48", - "stop": "21:28.68", - "speaker": "Student", - "dialogue": "Can you say more about how the car is going?" - }, - { - "start": "21:29.12", - "stop": "21:29.96", - "speaker": "Student", - "dialogue": "More specifically?" - }, - { - "start": "21:37.32", - "stop": "21:37.36", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "21:37.48", - "stop": "21:37.52", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "21:37.68", - "stop": "21:37.88", - "speaker": "Tutor", - "dialogue": "Going." - }, - { - "start": "21:38.08", - "stop": "21:39.96", - "speaker": "Student", - "dialogue": "Faster or slower?" - }, - { - "start": "21:41.84", - "stop": "21:41.96", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "21:42.68", - "stop": "21:46.68", - "speaker": "Student", - "dialogue": "From D to E, I think it's going slower." - }, - { - "start": "21:49.76", - "stop": "21:50.12", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "21:51.12", - "stop": "21:52.20", - "speaker": "Student", - "dialogue": "Oh, no, go ahead." - }, - { - "start": "21:52.92", - "stop": "22:03.12", - "speaker": "Student", - "dialogue": "Oh, 'cause like the line isn't constant, as you said before, and like it keeps stopping, so I would assume that like the journey takes." - }, - { - "start": "22:03.92", - "stop": "22:03.96", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "22:05.96", - "stop": "22:11.56", - "speaker": "Student", - "dialogue": "Longer, Ah, so from Bi to E, it's not travelling at a constant rate." - }, - { - "start": "22:12.68", - "stop": "22:16.44", - "speaker": "Student", - "dialogue": "A, it's going faster and then slower, faster, and then slower." - }, - { - "start": "22:17.08", - "stop": "22:20.56", - "speaker": "Student", - "dialogue": "from A to B. Is the car travelling at the same rate?" - }, - { - "start": "22:21.48", - "stop": "22:23.72", - "speaker": "Student", - "dialogue": "Yeah, a constant rate, or is it varying?" - }, - { - "start": "22:24.84", - "stop": "22:25.00", - "speaker": "Tutor", - "dialogue": "It's" - }, - { - "start": "22:25.20", - "stop": "22:29.92", - "speaker": "Student", - "dialogue": "Constant, and if I, if it's constant, could I figure out?" - }, - { - "start": "22:32.12", - "stop": "22:32.16", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "22:32.36", - "stop": "22:32.92", - "speaker": "Student", - "dialogue": "Value of that." - }, - { - "start": "22:34.84", - "stop": "22:36.96", - "speaker": "Student", - "dialogue": "Yeah, how would I do that?" - }, - { - "start": "22:39.04", - "stop": "22:39.20", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "22:43.08", - "stop": "22:45.52", - "speaker": "Student", - "dialogue": "Um, I guess you could just like miles." - }, - { - "start": "22:46.04", - "stop": "22:46.20", - "speaker": "Student", - "dialogue": "Oo." - }, - { - "start": "22:46.36", - "stop": "22:48.88", - "speaker": "Student", - "dialogue": "Actually, Yeah, miles per hour." - }, - { - "start": "22:49.52", - "stop": "22:53.28", - "speaker": "Student", - "dialogue": "Okay, Do I know the miles per hour from A to B?" - }, - { - "start": "22:54.76", - "stop": "22:56.04", - "speaker": "Student", - "dialogue": "Yeah, what are they?" - }, - { - "start": "22:57.12", - "stop": "22:58.68", - "speaker": "Student", - "dialogue": "Um, it's one to fifty." - }, - { - "start": "22:59.52", - "stop": "23:01.44", - "speaker": "Student", - "dialogue": "So how do I describe it as mile?" - }, - { - "start": "23:01.56", - "stop": "23:04.20", - "speaker": "Student", - "dialogue": "If I asked you how fast is the car going from A to B?" - }, - { - "start": "23:05.08", - "stop": "23:05.84", - "speaker": "Student", - "dialogue": "What would you say?" - }, - { - "start": "23:06.80", - "stop": "23:11.28", - "speaker": "Student", - "dialogue": "I will say the car is going one." - }, - { - "start": "23:11.64", - "stop": "23:15.00", - "speaker": "Student", - "dialogue": "Oh, the car is going fifty miles per hour." - }, - { - "start": "23:15.44", - "stop": "23:25.80", - "speaker": "Student", - "dialogue": "Yeah, because speed is measured as a relationship between the miles per one hour." - }, - { - "start": "23:29.16", - "stop": "23:29.20", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "23:29.44", - "stop": "23:32.40", - "speaker": "Student", - "dialogue": "The speed of the car from A to B is what?" - }, - { - "start": "23:34.28", - "stop": "23:34.40", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "23:34.96", - "stop": "23:42.00", - "speaker": "Student", - "dialogue": "Fifty to one, and the way I could describe it is fifty miles per." - }, - { - "start": "23:43.04", - "stop": "23:43.32", - "speaker": "Tutor", - "dialogue": "Hour." - }, - { - "start": "23:44.00", - "stop": "23:54.64", - "speaker": "Student", - "dialogue": "The unit that we use to measure speed is miles per hour, and from A to B. since it's a constant rate, is the car changing speed?" - }, - { - "start": "23:54.92", - "stop": "23:57.56", - "speaker": "Student", - "dialogue": "or is it travelling at the same speed from A to B?" - }, - { - "start": "23:58.40", - "stop": "24:00.08", - "speaker": "Student", - "dialogue": "It travelling at the same speed." - }, - { - "start": "24:00.84", - "stop": "24:13.88", - "speaker": "Student", - "dialogue": "That means that we could edit this over here from A to B. The distance is increasing by fifty miles and the time is increasing by one hour, And what is happening with the speed?" - }, - { - "start": "24:15.52", - "stop": "24:15.56", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "24:15.88", - "stop": "24:19.16", - "speaker": "Student", - "dialogue": "The speed remains the same at what speed?" - }, - { - "start": "24:21.12", - "stop": "24:21.16", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "24:21.32", - "stop": "24:23.72", - "speaker": "Student", - "dialogue": "Speed remains at fifty miles per hour." - }, - { - "start": "24:28.04", - "stop": "24:28.08", - "speaker": "Tutor", - "dialogue": "Of." - }, - { - "start": "24:28.52", - "stop": "24:42.44", - "speaker": "Student", - "dialogue": "Using those purple power words again, we could say from A to B, the distance is increasing by fifty miles, the time is increasing by one hour, and the speed stays the same at fifty miles per hour." - }, - { - "start": "24:44.08", - "stop": "24:44.24", - "speaker": "Tutor", - "dialogue": "Does?" - }, - { - "start": "24:44.32", - "stop": "24:46.76", - "speaker": "Student", - "dialogue": "That capture what you were thinking, Yeah." - }, - { - "start": "24:48.60", - "stop": "24:49.00", - "speaker": "Tutor", - "dialogue": "Indeed." - }, - { - "start": "24:49.08", - "stop": "24:51.44", - "speaker": "Student", - "dialogue": "It, y, it's not a constant speed" - }, - { - "start": "24:51.88", - "stop": "24:56.68", - "speaker": "Student", - "dialogue": "And you noticed that it was going and then stopping going, and the stopping you us." - }, - { - "start": "24:56.84", - "stop": "24:57.80", - "speaker": "Student", - "dialogue": "The word ratio." - }, - { - "start": "24:59.52", - "stop": "25:09.88", - "speaker": "Student", - "dialogue": "What you're thinking about there is the ratio of miles to hours, and the ratio of miles to hours is this thing we call speed." - }, - { - "start": "25:12.84", - "stop": "25:12.88", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "25:13.08", - "stop": "25:27.68", - "speaker": "Student", - "dialogue": "The ratio is constant, constant, constant, not constant constant, or we could say the speed, and we can determine the speed of the car if we know the ratio of miles to ours." - }, - { - "start": "25:30.60", - "stop": "25:30.72", - "speaker": "Tutor", - "dialogue": "Does?" - }, - { - "start": "25:30.76", - "stop": "25:31.40", - "speaker": "Student", - "dialogue": "That make sense." - }, - { - "start": "25:32.12", - "stop": "25:37.08", - "speaker": "Student", - "dialogue": "Yeah, okay, so let's try another section to do this same thing." - }, - { - "start": "25:37.88", - "stop": "25:39.08", - "speaker": "Student", - "dialogue": "What's the relationship?" - }, - { - "start": "25:40.12", - "stop": "25:41.56", - "speaker": "Student", - "dialogue": "Are the purple Powerwords" - }, - { - "start": "25:41.68", - "stop": "25:44.80", - "speaker": "Student", - "dialogue": "What's going on with Miles?" - }, - { - "start": "25:45.48", - "stop": "25:47.56", - "speaker": "Student", - "dialogue": "distance time hours speed?" - }, - { - "start": "25:47.80", - "stop": "25:49.80", - "speaker": "Student", - "dialogue": "Oh, my gosh, so many things happening." - }, - { - "start": "25:50.52", - "stop": "25:52.24", - "speaker": "Student", - "dialogue": "Which section do you want to do next?" - }, - { - "start": "25:57.16", - "stop": "25:57.20", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "25:57.48", - "stop": "25:57.52", - "speaker": "Student", - "dialogue": "Ho." - }, - { - "start": "25:57.64", - "stop": "25:57.92", - "speaker": "Tutor", - "dialogue": "About." - }, - { - "start": "25:58.12", - "stop": "26:00.84", - "speaker": "Student", - "dialogue": "Speed, we're going to do all of it" - }, - { - "start": "26:01.36", - "stop": "26:04.60", - "speaker": "Student", - "dialogue": "with one section, So do you want to do B to C or C, A D?" - }, - { - "start": "26:05.20", - "stop": "26:10.68", - "speaker": "Student", - "dialogue": "Oh uh, s, C, D. D. Okay, So you talk?" - }, - { - "start": "26:11.40", - "stop": "26:12.56", - "speaker": "Student", - "dialogue": "I'll type what you say." - }, - { - "start": "26:13.24", - "stop": "26:14.80", - "speaker": "Tutor", - "dialogue": "Okay, um?" - }, - { - "start": "26:15.84", - "stop": "26:17.08", - "speaker": "Student", - "dialogue": "From C to D." - }, - { - "start": "26:20.08", - "stop": "26:20.12", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "26:20.52", - "stop": "26:28.16", - "speaker": "Student", - "dialogue": "The distance is increasing by fifty miles, and the time is increasing by." - }, - { - "start": "26:30.88", - "stop": "26:31.00", - "speaker": "Tutor", - "dialogue": "An." - }, - { - "start": "26:31.12", - "stop": "26:34.16", - "speaker": "Student", - "dialogue": "Hour and the speed remains." - }, - { - "start": "26:35.52", - "stop": "26:35.56", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "26:35.68", - "stop": "26:39.04", - "speaker": "Student", - "dialogue": "Speed stays the same at fifty miles per hour." - }, - { - "start": "26:46.20", - "stop": "26:46.24", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "26:46.48", - "stop": "26:50.88", - "speaker": "Student", - "dialogue": "You just reminded me that we could add to our purple words here." - }, - { - "start": "26:53.28", - "stop": "26:53.56", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "26:53.72", - "stop": "26:54.48", - "speaker": "Student", - "dialogue": "Staying the same." - }, - { - "start": "26:55.28", - "stop": "26:55.60", - "speaker": "Tutor", - "dialogue": "We could." - }, - { - "start": "26:55.68", - "stop": "26:57.32", - "speaker": "Student", - "dialogue": "Also describe as being constant." - }, - { - "start": "27:01.32", - "stop": "27:01.48", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "27:02.68", - "stop": "27:03.80", - "speaker": "Student", - "dialogue": "Speed stays constant." - }, - { - "start": "27:05.28", - "stop": "27:05.60", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "27:06.32", - "stop": "27:10.36", - "speaker": "Student", - "dialogue": "I typed what I think you said, Read it and see if I made any mistakes." - }, - { - "start": "27:15.04", - "stop": "27:15.08", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "27:15.36", - "stop": "27:16.68", - "speaker": "Student", - "dialogue": "It's rack Ok." - }, - { - "start": "27:19.16", - "stop": "27:19.36", - "speaker": "Tutor", - "dialogue": "Look." - }, - { - "start": "27:19.40", - "stop": "27:31.92", - "speaker": "Student", - "dialogue": "At all of those different units you have to keep track of at the same time, distance miles, time hours, speed miles per hour, Lots of different labels, huh?" - }, - { - "start": "27:35.72", - "stop": "27:35.76", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "27:35.96", - "stop": "27:49.16", - "speaker": "Student", - "dialogue": "Whenever you are working with graphs, remember that one axes is keeping track of how one thing is changing, So you got to know what is that thing and what are the units" - }, - { - "start": "27:50.00", - "stop": "27:52.88", - "speaker": "Student", - "dialogue": "And are they increasing, decreasing or staying the same." - }, - { - "start": "27:54.36", - "stop": "27:57.64", - "speaker": "Student", - "dialogue": "The other axs is keeping track of another thing." - }, - { - "start": "27:58.56", - "stop": "27:59.52", - "speaker": "Student", - "dialogue": "What is that thing?" - }, - { - "start": "28:00.24", - "stop": "28:01.20", - "speaker": "Student", - "dialogue": "What are the units?" - }, - { - "start": "28:01.72", - "stop": "28:04.72", - "speaker": "Student", - "dialogue": "and are they increasing, decreasing or staying the same?" - }, - { - "start": "28:05.52", - "stop": "28:14.28", - "speaker": "Student", - "dialogue": "And then what's happening in the middle is the relationship of how this thing and this thing are changing in relation to each other." - }, - { - "start": "28:15.32", - "stop": "28:17.56", - "speaker": "Student", - "dialogue": "We can describe that as a rate." - }, - { - "start": "28:18.44", - "stop": "28:29.72", - "speaker": "Student", - "dialogue": "Sometimes we talk about it as a slope, and sometimes there's a special relationship that's made that has a new thing that we know like speed." - }, - { - "start": "28:30.64", - "stop": "28:39.64", - "speaker": "Student", - "dialogue": "So the speed of the car is this blue part of the graph, And you talked about it when you said the car is going." - }, - { - "start": "28:39.76", - "stop": "28:40.40", - "speaker": "Student", - "dialogue": "It's stopping." - }, - { - "start": "28:40.52", - "stop": "28:42.24", - "speaker": "Student", - "dialogue": "It's going, stopping and going." - }, - { - "start": "28:42.56", - "stop": "28:47.08", - "speaker": "Student", - "dialogue": "You were describing the speed there, or the relationship between the miles and hours." - }, - { - "start": "28:48.64", - "stop": "28:48.76", - "speaker": "Tutor", - "dialogue": "Does?" - }, - { - "start": "28:48.84", - "stop": "28:49.48", - "speaker": "Student", - "dialogue": "That make sense." - }, - { - "start": "28:50.08", - "stop": "28:51.12", - "speaker": "Student", - "dialogue": "Yeah, cool." - }, - { - "start": "28:51.60", - "stop": "28:54.68", - "speaker": "Student", - "dialogue": "Now you get to create a graph ready." - }, - { - "start": "28:58.28", - "stop": "28:58.32", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "28:58.40", - "stop": "28:59.64", - "speaker": "Student", - "dialogue": "Can tell you're so excited." - }, - { - "start": "29:03.56", - "stop": "29:03.84", - "speaker": "Tutor", - "dialogue": "Here's." - }, - { - "start": "29:03.92", - "stop": "29:05.40", - "speaker": "Student", - "dialogue": "Your graph you're going to create." - }, - { - "start": "29:09.72", - "stop": "29:09.96", - "speaker": "Tutor", - "dialogue": "You're" - }, - { - "start": "29:10.00", - "stop": "29:17.92", - "speaker": "Student", - "dialogue": "Going to be keeping track of the speed of the car, and for how long the car is traveling at that speed?" - }, - { - "start": "31:34.44", - "stop": "31:35.68", - "speaker": "Student", - "dialogue": "Um, I have a question." - }, - { - "start": "31:37.68", - "stop": "31:37.84", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "31:38.28", - "stop": "31:45.12", - "speaker": "Student", - "dialogue": "Like D to E, Since the Um, the speed isn't constant, How do we like measure?" - }, - { - "start": "31:45.24", - "stop": "31:46.08", - "speaker": "Tutor", - "dialogue": "That A?" - }, - { - "start": "31:49.24", - "stop": "31:56.88", - "speaker": "Student", - "dialogue": "With the tools that we have right now, probably like slope and rate of change right, it's hard to find the exact." - }, - { - "start": "31:57.16", - "stop": "32:01.16", - "speaker": "Student", - "dialogue": "You'll be able to figure that out later on enough and it's a great question." - }, - { - "start": "32:01.52", - "stop": "32:02.76", - "speaker": "Student", - "dialogue": "Whenever you get to you'll be like." - }, - { - "start": "32:02.96", - "stop": "32:11.40", - "speaker": "Student", - "dialogue": "Oh, I remember doing that thing where it was a variable line and I didn't know how to find the exact, and you will be able to, When you have additional tools for right" - }, - { - "start": "32:11.52", - "stop": "32:12.88", - "speaker": "Student", - "dialogue": "now you can estimate it." - }, - { - "start": "32:31.28", - "stop": "32:31.32", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "32:31.60", - "stop": "32:31.64", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "32:31.80", - "stop": "32:31.92", - "speaker": "Tutor", - "dialogue": "Your." - }, - { - "start": "32:32.04", - "stop": "32:32.92", - "speaker": "Student", - "dialogue": "Labels down here." - }, - { - "start": "32:35.16", - "stop": "32:35.28", - "speaker": "Tutor", - "dialogue": "Are?" - }, - { - "start": "32:35.36", - "stop": "32:40.76", - "speaker": "Student", - "dialogue": "You saying there will be journey or parts of the trip where the car is traveling a hundred and fifty miles per hour?" - }, - { - "start": "32:46.12", - "stop": "32:46.16", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "32:46.36", - "stop": "32:46.40", - "speaker": "Student", - "dialogue": "Have?" - }, - { - "start": "32:46.52", - "stop": "32:46.56", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "32:46.64", - "stop": "32:50.24", - "speaker": "Student", - "dialogue": "Label of a hundred and fifty miles per hour on the speed axs." - }, - { - "start": "32:55.88", - "stop": "32:56.04", - "speaker": "Tutor", - "dialogue": "Some." - }, - { - "start": "32:56.12", - "stop": "32:57.44", - "speaker": "Student", - "dialogue": "Cars can go that fast." - }, - { - "start": "32:58.04", - "stop": "33:02.08", - "speaker": "Student", - "dialogue": "Im was wondering if we have any sections of the journey where the car is going that fast." - }, - { - "start": "33:05.24", - "stop": "33:05.44", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "33:31.32", - "stop": "33:31.44", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "33:31.80", - "stop": "33:31.92", - "speaker": "Tutor", - "dialogue": "Ase." - }, - { - "start": "33:32.04", - "stop": "33:32.28", - "speaker": "Student", - "dialogue": "Start." - }, - { - "start": "33:37.20", - "stop": "33:37.36", - "speaker": "Tutor", - "dialogue": "Ya." - }, - { - "start": "33:37.92", - "stop": "33:40.52", - "speaker": "Student", - "dialogue": "Do you want raase those two things ya?" - }, - { - "start": "33:40.60", - "stop": "33:43.04", - "speaker": "Student", - "dialogue": "You can't really, les uh online." - }, - { - "start": "33:44.28", - "stop": "33:44.68", - "speaker": "Student", - "dialogue": "So Sm." - }, - { - "start": "33:44.80", - "stop": "33:48.08", - "speaker": "Student", - "dialogue": "I just gota got to be like, very precise." - }, - { - "start": "34:28.84", - "stop": "34:28.88", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "34:29.04", - "stop": "34:30.56", - "speaker": "Student", - "dialogue": "Are you thinking through right now?" - }, - { - "start": "34:32.44", - "stop": "34:32.56", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "34:33.88", - "stop": "34:34.56", - "speaker": "Student", - "dialogue": "I'm not ally." - }, - { - "start": "34:34.68", - "stop": "34:34.88", - "speaker": "Student", - "dialogue": "Sure." - }, - { - "start": "34:35.16", - "stop": "34:39.64", - "speaker": "Student", - "dialogue": "like how to like label, Um?" - }, - { - "start": "34:41.40", - "stop": "34:41.96", - "speaker": "Tutor", - "dialogue": "Dte." - }, - { - "start": "34:42.36", - "stop": "34:42.96", - "speaker": "Student", - "dialogue": "On the lab." - }, - { - "start": "34:45.16", - "stop": "34:45.20", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "34:45.48", - "stop": "34:47.36", - "speaker": "Student", - "dialogue": "Let's not worry about Dde right now." - }, - { - "start": "34:49.00", - "stop": "34:49.16", - "speaker": "Tutor", - "dialogue": "Just." - }, - { - "start": "34:49.28", - "stop": "34:55.64", - "speaker": "Student", - "dialogue": "Make a graph from A to B, B to C, and C to D, and we can come back to that one." - }, - { - "start": "35:29.80", - "stop": "35:29.92", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "35:30.08", - "stop": "35:42.72", - "speaker": "Student", - "dialogue": "I have questioning, so from B to C, would you say that like the miles per hour like stays the same cause it doesn't like move." - }, - { - "start": "35:43.28", - "stop": "35:47.32", - "speaker": "Student", - "dialogue": "So if the car is not moving, how fast is the car going?" - }, - { - "start": "35:49.16", - "stop": "35:49.40", - "speaker": "Tutor", - "dialogue": "Zero." - }, - { - "start": "35:50.00", - "stop": "35:57.48", - "speaker": "Student", - "dialogue": "Zero, so, and that's because it is travelling zero miles and it doesn't matter how long it sits there." - }, - { - "start": "35:59.16", - "stop": "35:59.28", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "35:59.32", - "stop": "36:00.56", - "speaker": "Student", - "dialogue": "It sits there thirty minutes." - }, - { - "start": "36:00.64", - "stop": "36:01.96", - "speaker": "Student", - "dialogue": "If it sits there five hours." - }, - { - "start": "36:02.72", - "stop": "36:06.28", - "speaker": "Student", - "dialogue": "If it's traveling zero miles, its speed would be." - }, - { - "start": "36:08.32", - "stop": "36:08.56", - "speaker": "Tutor", - "dialogue": "Zero." - }, - { - "start": "36:09.16", - "stop": "36:14.80", - "speaker": "Student", - "dialogue": "Miles per hour, because zero divided by anything is going to be zero." - }, - { - "start": "36:18.52", - "stop": "36:18.56", - "speaker": "Tutor", - "dialogue": "W." - }, - { - "start": "36:18.84", - "stop": "36:21.84", - "speaker": "Student", - "dialogue": "How I, how would I draw that on the lap close?" - }, - { - "start": "36:24.28", - "stop": "36:24.52", - "speaker": "Tutor", - "dialogue": "Let's." - }, - { - "start": "36:24.56", - "stop": "36:26.00", - "speaker": "Student", - "dialogue": "Look at what you've drawn so far." - }, - { - "start": "36:27.00", - "stop": "36:28.16", - "speaker": "Student", - "dialogue": "Is this point A?" - }, - { - "start": "36:30.40", - "stop": "36:30.44", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "36:30.64", - "stop": "36:31.28", - "speaker": "Student", - "dialogue": "This is point B." - }, - { - "start": "36:34.16", - "stop": "36:34.20", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "36:34.92", - "stop": "36:41.32", - "speaker": "Student", - "dialogue": "Okay, so if this is point A and this is point B, talk me through what's happening on your graph." - }, - { - "start": "36:43.12", - "stop": "36:43.24", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "36:43.44", - "stop": "36:50.96", - "speaker": "Student", - "dialogue": "I was thinking that like, um, since the speed is fifty and one hour has passed." - }, - { - "start": "36:52.28", - "stop": "36:52.40", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "36:53.12", - "stop": "36:54.60", - "speaker": "Student", - "dialogue": "A and B would be there." - }, - { - "start": "36:55.76", - "stop": "37:03.56", - "speaker": "Student", - "dialogue": "Um for B and C. I'm not really sure, 'cause the miles per hours is zero and like." - }, - { - "start": "37:04.92", - "stop": "37:05.64", - "speaker": "Tutor", - "dialogue": "T. pus." - }, - { - "start": "37:06.08", - "stop": "37:07.24", - "speaker": "Student", - "dialogue": "Oh, wait, zero hours." - }, - { - "start": "37:07.28", - "stop": "37:07.92", - "speaker": "Student", - "dialogue": "A punds." - }, - { - "start": "37:08.56", - "stop": "37:11.64", - "speaker": "Student", - "dialogue": "Oh wait, no, um, zero point five." - }, - { - "start": "37:13.32", - "stop": "37:13.44", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "37:13.60", - "stop": "37:17.44", - "speaker": "Student", - "dialogue": "Hours of Pis, so I'm not really sure how you will put that on the Ga." - }, - { - "start": "37:18.60", - "stop": "37:19.84", - "speaker": "Student", - "dialogue": "So from B to C." - }, - { - "start": "37:23.84", - "stop": "37:23.88", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "37:24.04", - "stop": "37:27.44", - "speaker": "Student", - "dialogue": "Car is travelling zero miles per hour." - }, - { - "start": "37:28.40", - "stop": "37:29.96", - "speaker": "Student", - "dialogue": "And how long does it stay?" - }, - { - "start": "37:30.08", - "stop": "37:38.92", - "speaker": "Student", - "dialogue": "Stopped at zero miles per hour, M, zero point five, which is how much tires, which is thirty minutes for thirty minutes." - }, - { - "start": "37:44.88", - "stop": "37:44.92", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "37:45.16", - "stop": "37:47.88", - "speaker": "Student", - "dialogue": "From A to B, let's do this same thing." - }, - { - "start": "37:50.04", - "stop": "37:50.24", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "37:50.32", - "stop": "37:54.28", - "speaker": "Student", - "dialogue": "A to B, how fast is the car going, and for how long?" - }, - { - "start": "37:55.80", - "stop": "37:56.00", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "37:56.08", - "stop": "37:59.48", - "speaker": "Student", - "dialogue": "It's going fiftey miles per hour for one hour." - }, - { - "start": "37:59.96", - "stop": "38:02.60", - "speaker": "Student", - "dialogue": "Is it going fifty miles per hour that entire hour?" - }, - { - "start": "38:23.12", - "stop": "38:23.24", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "38:23.32", - "stop": "38:27.56", - "speaker": "Student", - "dialogue": "We look over here when you were describing what was happening from A to B. Was" - }, - { - "start": "38:27.80", - "stop": "38:32.36", - "speaker": "Student", - "dialogue": "the car going at the same speed from A to B at a constant rate?" - }, - { - "start": "38:32.88", - "stop": "38:35.24", - "speaker": "Student", - "dialogue": "Or was the speed varying from A to B?" - }, - { - "start": "38:36.32", - "stop": "38:38.20", - "speaker": "Student", - "dialogue": "This speed goes at a cost of rate." - }, - { - "start": "38:38.56", - "stop": "38:46.16", - "speaker": "Student", - "dialogue": "So if it's at a constant rate, is the car going at the same speed that entire hour, or is its speed changing?" - }, - { - "start": "38:47.68", - "stop": "38:47.72", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "38:47.88", - "stop": "38:55.76", - "speaker": "Student", - "dialogue": "Speed is remaining the same, so the car is going to travel fifty miles per hour for that whole hour." - }, - { - "start": "38:59.12", - "stop": "38:59.16", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "38:59.72", - "stop": "39:02.12", - "speaker": "Student", - "dialogue": "Ten minutes into the trip, how fast is the car going?" - }, - { - "start": "39:03.44", - "stop": "39:03.76", - "speaker": "Tutor", - "dialogue": "Fifty." - }, - { - "start": "39:03.84", - "stop": "39:07.68", - "speaker": "Student", - "dialogue": "Miles per fifty miles, thirty minutes into the trip." - }, - { - "start": "39:07.96", - "stop": "39:09.20", - "speaker": "Student", - "dialogue": "How fast is the car going?" - }, - { - "start": "39:09.96", - "stop": "39:13.40", - "speaker": "Student", - "dialogue": "fifty miles per and an hour into the trip?" - }, - { - "start": "39:13.56", - "stop": "39:16.44", - "speaker": "Student", - "dialogue": "How fast is the car going fifty miles?" - }, - { - "start": "39:18.00", - "stop": "39:18.16", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "39:18.28", - "stop": "39:19.32", - "speaker": "Student", - "dialogue": "Let's check yours." - }, - { - "start": "39:19.64", - "stop": "39:23.52", - "speaker": "Student", - "dialogue": "see if it shows that at the beginning of the trip, how fast is the car going?" - }, - { - "start": "39:24.88", - "stop": "39:25.16", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "39:27.68", - "stop": "39:30.72", - "speaker": "Student", - "dialogue": "Hol on thirty minutes into the trip." - }, - { - "start": "39:30.88", - "stop": "39:32.04", - "speaker": "Student", - "dialogue": "How fast is the car going?" - }, - { - "start": "39:36.72", - "stop": "39:36.76", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "39:36.84", - "stop": "39:37.68", - "speaker": "Student", - "dialogue": "Don't know are." - }, - { - "start": "39:38.64", - "stop": "39:38.68", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "39:38.80", - "stop": "39:47.44", - "speaker": "Student", - "dialogue": "See, so you're recognizing that your lying doesn't show that the car is going fifty miles per hour that entire hour." - }, - { - "start": "39:49.00", - "stop": "39:49.04", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "39:49.16", - "stop": "39:58.00", - "speaker": "Student", - "dialogue": "You're trying to draw a graph based on something that's familiar that you've seen before, and most graphs that you've seen start at the origin." - }, - { - "start": "39:59.80", - "stop": "40:01.68", - "speaker": "Student", - "dialogue": "There are graphs that don't look like that." - }, - { - "start": "40:03.00", - "stop": "40:03.04", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "40:03.28", - "stop": "40:13.52", - "speaker": "Student", - "dialogue": "Your graph might look completely different than what you've ever seen before, but how could you show the relationship of a car that is traveling fifty miles an hour" - }, - { - "start": "40:14.04", - "stop": "40:18.80", - "speaker": "Student", - "dialogue": "at the beginning of their trip, thirty minutes into their trip and an hour into their trip." - }, - { - "start": "40:19.28", - "stop": "40:21.48", - "speaker": "Student", - "dialogue": "That entire time is fifty miles an hour." - }, - { - "start": "40:22.16", - "stop": "40:23.84", - "speaker": "Student", - "dialogue": "What would a graph like that look like?" - }, - { - "start": "40:24.96", - "stop": "40:25.16", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "40:25.24", - "stop": "40:27.72", - "speaker": "Student", - "dialogue": "Won't you move the fifty to like the zero?" - }, - { - "start": "40:28.32", - "stop": "40:29.56", - "speaker": "Student", - "dialogue": "No, you can leave it where it is." - }, - { - "start": "40:32.80", - "stop": "40:32.84", - "speaker": "Tutor", - "dialogue": "U." - }, - { - "start": "40:53.68", - "stop": "40:53.92", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "40:54.08", - "stop": "40:54.12", - "speaker": "Tutor", - "dialogue": "Not." - }, - { - "start": "40:54.28", - "stop": "40:57.24", - "speaker": "Student", - "dialogue": "Really sure, raise this one." - }, - { - "start": "40:58.44", - "stop": "40:58.48", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "40:58.64", - "stop": "41:00.16", - "speaker": "Student", - "dialogue": "We're going to do it one point at a time." - }, - { - "start": "41:02.28", - "stop": "41:02.32", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "41:03.60", - "stop": "41:09.72", - "speaker": "Student", - "dialogue": "If the car is traveling fifty miles an hour at the very beginning of the trip, where would you put a point?" - }, - { - "start": "41:14.24", - "stop": "41:14.44", - "speaker": "Tutor", - "dialogue": "Yep." - }, - { - "start": "41:14.56", - "stop": "41:14.88", - "speaker": "Student", - "dialogue": "Put it." - }, - { - "start": "41:19.44", - "stop": "41:19.48", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "41:19.60", - "stop": "41:25.24", - "speaker": "Student", - "dialogue": "If a car is traveling fifty miles an hour, thirty minutes into the trip, where would you put a point?" - }, - { - "start": "41:28.84", - "stop": "41:28.88", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "41:29.04", - "stop": "41:33.52", - "speaker": "Student", - "dialogue": "If the car is traveling fifty miles an hour, one hour into the trip, where would you put a point?" - }, - { - "start": "41:36.12", - "stop": "41:36.16", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "41:36.28", - "stop": "41:41.52", - "speaker": "Student", - "dialogue": "If the car is traveling fifty miles an hour, that entire section of the trip, how could you show it?" - }, - { - "start": "41:46.36", - "stop": "41:46.56", - "speaker": "Tutor", - "dialogue": "Just." - }, - { - "start": "41:46.64", - "stop": "41:46.68", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "41:46.80", - "stop": "41:46.84", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "41:47.00", - "stop": "41:48.64", - "speaker": "Student", - "dialogue": "First hour, oh." - }, - { - "start": "41:51.00", - "stop": "41:51.04", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "41:52.92", - "stop": "41:56.52", - "speaker": "Student", - "dialogue": "Yep, and there's your A and there's your B." - }, - { - "start": "42:00.64", - "stop": "42:00.84", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "42:01.24", - "stop": "42:04.16", - "speaker": "Student", - "dialogue": "From B to C, the car is traveling" - }, - { - "start": "42:04.40", - "stop": "42:06.80", - "speaker": "Student", - "dialogue": "zero miles an hour for thirty minutes." - }, - { - "start": "42:11.52", - "stop": "42:11.56", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "42:12.84", - "stop": "42:16.16", - "speaker": "Student", - "dialogue": "So were is zero miles an hour for the Ny." - }, - { - "start": "42:16.76", - "stop": "42:16.96", - "speaker": "Student", - "dialogue": "Hm" - }, - { - "start": "42:17.12", - "stop": "42:18.28", - "speaker": "Student", - "dialogue": "for the next thirty minutes." - }, - { - "start": "42:24.92", - "stop": "42:24.96", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "42:25.12", - "stop": "42:27.92", - "speaker": "Student", - "dialogue": "There's your Milne from one hour." - }, - { - "start": "42:28.48", - "stop": "42:31.96", - "speaker": "Student", - "dialogue": "It goes down to zero miles an hour, and it stays there for thirty minutes." - }, - { - "start": "42:35.04", - "stop": "42:35.08", - "speaker": "Tutor", - "dialogue": "D." - }, - { - "start": "42:53.72", - "stop": "42:53.76", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "42:54.76", - "stop": "42:55.16", - "speaker": "Tutor", - "dialogue": "Uhhuh." - }, - { - "start": "42:57.36", - "stop": "42:57.68", - "speaker": "Student", - "dialogue": "Except." - }, - { - "start": "42:57.76", - "stop": "42:57.80", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "42:57.88", - "stop": "43:00.24", - "speaker": "Student", - "dialogue": "Doesn't gradually increase to fifty miles an hour." - }, - { - "start": "43:00.92", - "stop": "43:02.76", - "speaker": "Student", - "dialogue": "It stays fifty miles an hour." - }, - { - "start": "43:02.88", - "stop": "44:01.12", - "speaker": "Student", - "dialogue": "That entire section so." - }, - { - "start": "44:04.40", - "stop": "44:04.84", - "speaker": "Tutor", - "dialogue": "Graphs." - }, - { - "start": "44:05.68", - "stop": "44:08.44", - "speaker": "Student", - "dialogue": "Don't always have to look like these connected things." - }, - { - "start": "44:10.84", - "stop": "44:10.96", - "speaker": "Tutor", - "dialogue": "They." - }, - { - "start": "44:11.08", - "stop": "44:13.00", - "speaker": "Student", - "dialogue": "Can have different sections." - }, - { - "start": "44:13.08", - "stop": "44:14.32", - "speaker": "Student", - "dialogue": "Have you ever seen graphs like this?" - }, - { - "start": "44:15.52", - "stop": "44:15.56", - "speaker": "Student", - "dialogue": "N?" - }, - { - "start": "44:16.24", - "stop": "44:17.36", - "speaker": "Student", - "dialogue": "No, That's cool." - }, - { - "start": "44:17.56", - "stop": "44:20.56", - "speaker": "Student", - "dialogue": "You will see them and they have a special name." - }, - { - "start": "44:20.64", - "stop": "44:22.04", - "speaker": "Student", - "dialogue": "It's called piecewise." - }, - { - "start": "44:24.12", - "stop": "44:24.16", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "44:24.40", - "stop": "44:28.16", - "speaker": "Student", - "dialogue": "Piecewise ground for a peacewise function has different sections." - }, - { - "start": "44:28.20", - "stop": "44:33.48", - "speaker": "Student", - "dialogue": "F. This because the slope is not same, the same the whole way through this right." - }, - { - "start": "44:36.48", - "stop": "44:36.52", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "44:38.56", - "stop": "44:38.60", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "44:38.92", - "stop": "44:39.08", - "speaker": "Tutor", - "dialogue": "Learn." - }, - { - "start": "44:39.24", - "stop": "44:42.56", - "speaker": "Student", - "dialogue": "To-day that a graph doesn't have to always start from the origin." - }, - { - "start": "44:44.96", - "stop": "44:45.00", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "44:45.20", - "stop": "44:57.40", - "speaker": "Student", - "dialogue": "That graphs keep track of the relationship between the two things that are changing on each of the axes, and I know your brain is probably hurting because you have done a whule lot of thinking to-day" - }, - { - "start": "44:59.00", - "stop": "44:59.16", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "45:00.84", - "stop": "45:12.60", - "speaker": "Student", - "dialogue": "Yeah, so you know that you're helping us learn more about this way of learning and this um platform that we were just using, So I would love your voice matters, so I'd love to hear from you." - }, - { - "start": "45:13.24", - "stop": "45:15.08", - "speaker": "Student", - "dialogue": "What was this experience like for you?" - }, - { - "start": "45:15.80", - "stop": "45:16.88", - "speaker": "Student", - "dialogue": "What was helpful or not?" - }, - { - "start": "45:18.28", - "stop": "45:18.44", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "45:18.84", - "stop": "45:24.60", - "speaker": "Student", - "dialogue": "I really liked how like we could draw on the same like kind of board and." - }, - { - "start": "45:26.32", - "stop": "45:28.32", - "speaker": "Tutor", - "dialogue": "Um, I like how." - }, - { - "start": "45:28.88", - "stop": "45:34.36", - "speaker": "Student", - "dialogue": "Like you could like have like references, for example, like there's a lab and the is's a glap." - }, - { - "start": "45:35.44", - "stop": "45:37.56", - "speaker": "Tutor", - "dialogue": "It was a nice experience." - }, - { - "start": "45:38.08", - "stop": "45:44.52", - "speaker": "Student", - "dialogue": "To make sun of some things in there, Yeah, what isf something you think you learned or think differently about now?" - }, - { - "start": "45:46.36", - "stop": "45:46.48", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "45:46.96", - "stop": "45:54.60", - "speaker": "Student", - "dialogue": "I didn't know there were like graphs that didn't like, have lines connecting each point, so I definitely learned that" - }, - { - "start": "45:55.72", - "stop": "46:00.68", - "speaker": "Student", - "dialogue": "And there's like not all graphs are constant." - }, - { - "start": "46:00.88", - "stop": "46:09.00", - "speaker": "Student", - "dialogue": "There's like varied and you have like speed when there's like distance and time in grashs." - }, - { - "start": "46:09.28", - "stop": "46:09.72", - "speaker": "Student", - "dialogue": "very cool." - }, - { - "start": "46:10.12", - "stop": "46:12.64", - "speaker": "Student", - "dialogue": "Yes, and your graphs will start looking more and more different." - }, - { - "start": "46:13.20", - "stop": "46:28.64", - "speaker": "Student", - "dialogue": "Most of the graphs you've seen so far are linear graphs or linear equations, and that means that there's a constant rate there, but you're going to start seeing a lot of different types of graphs, and no matter what the graph is, always remember these purple power words." - }, - { - "start": "46:29.52", - "stop": "46:30.44", - "speaker": "Student", - "dialogue": "What's increasing?" - }, - { - "start": "46:30.80", - "stop": "46:40.04", - "speaker": "Student", - "dialogue": "what's decreasing, what is staying the same, And what are my things that are changing in this situation, And how are they changing?" - }, - { - "start": "46:40.52", - "stop": "46:46.32", - "speaker": "Student", - "dialogue": "And that will help you make sense of any graph that you encounter in life or in any math class." - }, - { - "start": "46:48.68", - "stop": "46:48.92", - "speaker": "Tutor", - "dialogue": "Sound." - }, - { - "start": "46:49.00", - "stop": "46:51.24", - "speaker": "Student", - "dialogue": "Good, Yeah, all right." - }, - { - "start": "46:51.56", - "stop": "46:53.68", - "speaker": "Student", - "dialogue": "Is there anything else you think would be helpful for us to know?" - }, - { - "start": "46:54.84", - "stop": "46:56.24", - "speaker": "Student", - "dialogue": "Um, not really." - }, - { - "start": "46:56.48", - "stop": "46:56.96", - "speaker": "Student", - "dialogue": "I think it." - }, - { - "start": "47:00.56", - "stop": "47:00.60", - "speaker": "Tutor", - "dialogue": "Co." - } -] \ No newline at end of file diff --git a/data/amber/7132022JR.json b/data/amber/7132022JR.json deleted file mode 100644 index a57eb57..0000000 --- a/data/amber/7132022JR.json +++ /dev/null @@ -1,2900 +0,0 @@ -[ - { - "start": "00:02.64", - "stop": "00:02.68", - "speaker": "Student", - "dialogue": "K." - }, - { - "start": "00:05.04", - "stop": "00:06.44", - "speaker": "Tutor", - "dialogue": "I changed the screen Now." - }, - { - "start": "00:06.52", - "stop": "00:08.00", - "speaker": "Tutor", - "dialogue": "Do you see something different on the screen?" - }, - { - "start": "00:08.60", - "stop": "00:08.80", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "00:08.96", - "stop": "00:10.84", - "speaker": "Tutor", - "dialogue": "Y, so take a minute to read it." - }, - { - "start": "00:11.32", - "stop": "00:16.60", - "speaker": "Tutor", - "dialogue": "look it over and then when you're ready, describe what you think is happening in this situation." - }, - { - "start": "00:35.92", - "stop": "00:36.24", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:37.32", - "stop": "00:39.88", - "speaker": "Tutor", - "dialogue": "Okay, what do you think's going on in this situation?" - }, - { - "start": "00:42.04", - "stop": "00:58.48", - "speaker": "Student", - "dialogue": "I think there's like, Um, a car, Um, going through uh, r to Nanwark, New Jersey, through New York, Okay?" - }, - { - "start": "00:58.84", - "stop": "01:00.16", - "speaker": "Tutor", - "dialogue": "Where is the car gonna start?" - }, - { - "start": "01:02.92", - "stop": "01:03.48", - "speaker": "Student", - "dialogue": "Nenwark." - }, - { - "start": "01:04.68", - "stop": "01:06.00", - "speaker": "Tutor", - "dialogue": "It, where did you say that I'm" - }, - { - "start": "01:06.04", - "stop": "01:07.36", - "speaker": "Student", - "dialogue": "Sorry, Newark." - }, - { - "start": "01:09.96", - "stop": "01:13.72", - "speaker": "Tutor", - "dialogue": "Uh, and show me with your how you think the car's gonna travel." - }, - { - "start": "01:15.72", - "stop": "01:19.12", - "speaker": "Student", - "dialogue": "Uh, can you see it?" - }, - { - "start": "01:19.44", - "stop": "01:19.64", - "speaker": "Tutor", - "dialogue": "Yep." - }, - { - "start": "01:20.92", - "stop": "01:29.08", - "speaker": "Student", - "dialogue": "It'll start from right here and then follow the arrow all the way to Providens." - }, - { - "start": "01:29.16", - "stop": "01:29.80", - "speaker": "Tutor", - "dialogue": "I've been Sar." - }, - { - "start": "01:30.56", - "stop": "01:32.56", - "speaker": "Tutor", - "dialogue": "That is one way the car could travel on the road." - }, - { - "start": "01:33.04", - "stop": "01:33.08", - "speaker": "Tutor", - "dialogue": "for." - }, - { - "start": "01:33.32", - "stop": "01:33.60", - "speaker": "Tutor", - "dialogue": "To-day" - }, - { - "start": "01:33.76", - "stop": "01:36.16", - "speaker": "Tutor", - "dialogue": "we're going to pretend like the trip starts in Providence." - }, - { - "start": "01:38.20", - "stop": "01:38.24", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "01:38.44", - "stop": "01:43.88", - "speaker": "Tutor", - "dialogue": "The car's going to start in Providence, and then it's going to travel in this direction for to-day" - }, - { - "start": "01:44.80", - "stop": "01:44.84", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "01:47.60", - "stop": "01:47.64", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "01:47.80", - "stop": "01:47.92", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "01:48.00", - "stop": "01:51.32", - "speaker": "Tutor", - "dialogue": "Some things that you think we can measure in this situation." - }, - { - "start": "01:53.72", - "stop": "01:54.44", - "speaker": "Student", - "dialogue": "Can you repeat that?" - }, - { - "start": "01:55.32", - "stop": "02:00.64", - "speaker": "Tutor", - "dialogue": "Yes, what are some things that we could measure in this situation?" - }, - { - "start": "02:03.84", - "stop": "02:15.16", - "speaker": "Student", - "dialogue": "Um, I say miles or uh, speed." - }, - { - "start": "02:19.04", - "stop": "02:23.16", - "speaker": "Tutor", - "dialogue": "So what would we need to know to be able to measure the miles or the speed?" - }, - { - "start": "02:25.64", - "stop": "02:28.96", - "speaker": "Student", - "dialogue": "We would need to to measure the miles." - }, - { - "start": "02:29.04", - "stop": "02:32.56", - "speaker": "Student", - "dialogue": "We would know, Um, one location to the other." - }, - { - "start": "02:34.40", - "stop": "02:37.00", - "speaker": "Tutor", - "dialogue": "Okay, and to measure the speed, what would we need to know?" - }, - { - "start": "02:37.56", - "stop": "02:40.44", - "speaker": "Student", - "dialogue": "We would, we need to know how fast a car is going per mile." - }, - { - "start": "02:42.04", - "stop": "02:44.60", - "speaker": "Tutor", - "dialogue": "Okay, I'm going to uncover something now." - }, - { - "start": "02:46.72", - "stop": "02:46.84", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "02:46.96", - "stop": "02:49.88", - "speaker": "Tutor", - "dialogue": "Was this similar or different to what you were thinking about?" - }, - { - "start": "02:52.72", - "stop": "02:53.92", - "speaker": "Student", - "dialogue": "It was a little similar." - }, - { - "start": "02:55.20", - "stop": "02:55.52", - "speaker": "Tutor", - "dialogue": "How so?" - }, - { - "start": "02:56.60", - "stop": "03:05.76", - "speaker": "Student", - "dialogue": "With um, with the miles and I said, Well the speed, I said for speed" - }, - { - "start": "03:05.84", - "stop": "03:08.36", - "speaker": "Student", - "dialogue": "instead of time, I only got the miles right." - }, - { - "start": "03:09.32", - "stop": "03:13.08", - "speaker": "Tutor", - "dialogue": "Do you see speed on this graph even if it's not labeled as speed?" - }, - { - "start": "03:13.96", - "stop": "03:16.36", - "speaker": "Student", - "dialogue": "No, no, I time Ok?" - }, - { - "start": "03:16.92", - "stop": "03:25.12", - "speaker": "Tutor", - "dialogue": "So in this graph, we're going to keep track of the distance or miles and the time in hours of the journey." - }, - { - "start": "03:25.76", - "stop": "03:33.40", - "speaker": "Tutor", - "dialogue": "So if you look at the map and the graph, describe what's happening during each stage of the journey." - }, - { - "start": "03:40.52", - "stop": "03:56.56", - "speaker": "Student", - "dialogue": "For the first hour the distance is fifty miles, but for the second it's going on, We went to aighty." - }, - { - "start": "03:57.88", - "stop": "04:01.04", - "speaker": "Student", - "dialogue": "From A to B is a straight line Bu." - }, - { - "start": "04:01.24", - "stop": "04:06.84", - "speaker": "Student", - "dialogue": "For the rest, like example, d, e, it's all scribble." - }, - { - "start": "04:08.44", - "stop": "04:12.36", - "speaker": "Tutor", - "dialogue": "Hm, yeah, what does that mean in terms of this trip or this journey?" - }, - { - "start": "04:14.84", - "stop": "04:27.32", - "speaker": "Student", - "dialogue": "Uh, I would say either it could have been trafficking or how the roads are like, maybe there are a lot of turning." - }, - { - "start": "04:29.76", - "stop": "04:30.04", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "04:30.56", - "stop": "04:37.40", - "speaker": "Tutor", - "dialogue": "So something is different from D to E. Why is the line not scribbly from A to B, for example?" - }, - { - "start": "04:38.68", - "stop": "04:38.92", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "04:39.04", - "stop": "04:39.68", - "speaker": "Tutor", - "dialogue": "Going on there?" - }, - { - "start": "04:45.40", - "stop": "04:53.20", - "speaker": "Student", - "dialogue": "I would say the road is fine, like not too much trafficking or too much turns, like the road might be just straight." - }, - { - "start": "04:55.60", - "stop": "05:02.64", - "speaker": "Tutor", - "dialogue": "So I say some points on the graph with some letters labeled, but no points on the map." - }, - { - "start": "05:03.52", - "stop": "05:06.24", - "speaker": "Tutor", - "dialogue": "How do you think about those two things being related?" - }, - { - "start": "05:17.16", - "stop": "05:18.00", - "speaker": "Student", - "dialogue": "I really don't know." - }, - { - "start": "05:19.20", - "stop": "05:22.32", - "speaker": "Tutor", - "dialogue": "So where would some of those points be on the map?" - }, - { - "start": "05:26.72", - "stop": "05:26.76", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "05:26.96", - "stop": "05:31.16", - "speaker": "Tutor", - "dialogue": "If I asked you to label, where would point A be located on the map?" - }, - { - "start": "05:32.80", - "stop": "05:36.32", - "speaker": "Student", - "dialogue": "Like one, nine five to New York City." - }, - { - "start": "05:37.00", - "stop": "05:39.72", - "speaker": "Tutor", - "dialogue": "So you show me where you predict point" - }, - { - "start": "05:39.80", - "stop": "05:40.32", - "speaker": "Tutor", - "dialogue": "A would be?" - }, - { - "start": "05:41.04", - "stop": "05:44.24", - "speaker": "Tutor", - "dialogue": "So if I did this, Ooh, that's a really big point." - }, - { - "start": "05:47.76", - "stop": "05:47.96", - "speaker": "Student", - "dialogue": "Here." - }, - { - "start": "05:48.12", - "stop": "05:50.48", - "speaker": "Tutor", - "dialogue": "Is point A?" - }, - { - "start": "05:52.52", - "stop": "05:52.88", - "speaker": "Student", - "dialogue": "Maybe." - }, - { - "start": "05:53.72", - "stop": "05:53.92", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "05:54.68", - "stop": "05:54.72", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "05:54.84", - "stop": "05:58.36", - "speaker": "Tutor", - "dialogue": "Was going to drop be easier heres point A on the graph." - }, - { - "start": "05:59.84", - "stop": "06:01.68", - "speaker": "Tutor", - "dialogue": "Where is point A on the map?" - }, - { - "start": "06:03.16", - "stop": "06:04.64", - "speaker": "Tutor", - "dialogue": "Where do you estimate it would be?" - }, - { - "start": "06:06.12", - "stop": "06:09.24", - "speaker": "Student", - "dialogue": "Um, here, Ok?" - }, - { - "start": "06:10.04", - "stop": "06:13.96", - "speaker": "Tutor", - "dialogue": "Put your point there and put the letter A, and then you can describe why." - }, - { - "start": "06:15.56", - "stop": "06:16.56", - "speaker": "Student", - "dialogue": "How do I put a point?" - }, - { - "start": "06:17.16", - "stop": "06:21.48", - "speaker": "Tutor", - "dialogue": "You can use the pencil tool right here to draw it." - }, - { - "start": "06:23.96", - "stop": "06:24.00", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "06:24.16", - "stop": "06:29.08", - "speaker": "Tutor", - "dialogue": "You can either write the letter A with your pencil or you could use the textbox." - }, - { - "start": "06:31.44", - "stop": "06:31.48", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "06:32.48", - "stop": "06:35.20", - "speaker": "Tutor", - "dialogue": "Type an A and then move it to it." - }, - { - "start": "06:37.52", - "stop": "06:44.36", - "speaker": "Student", - "dialogue": "Ok, okay?" - }, - { - "start": "06:44.64", - "stop": "06:46.56", - "speaker": "Tutor", - "dialogue": "Tell me why you put point a there." - }, - { - "start": "06:47.80", - "stop": "06:52.80", - "speaker": "Student", - "dialogue": "I put point a there because the road is the only one that's going straight lines." - }, - { - "start": "06:54.08", - "stop": "06:54.32", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "06:55.76", - "stop": "06:55.80", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "06:56.24", - "stop": "07:00.44", - "speaker": "Tutor", - "dialogue": "From A to B, you think it looks like the straight line of the graph." - }, - { - "start": "07:01.36", - "stop": "07:01.40", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "07:01.64", - "stop": "07:03.24", - "speaker": "Tutor", - "dialogue": "S, or would you put B up here?" - }, - { - "start": "07:06.36", - "stop": "07:07.96", - "speaker": "Student", - "dialogue": "I would put B for New York City." - }, - { - "start": "07:08.32", - "stop": "07:08.60", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "07:12.32", - "stop": "07:13.00", - "speaker": "Tutor", - "dialogue": "Would you put it?" - }, - { - "start": "07:13.24", - "stop": "07:14.56", - "speaker": "Tutor", - "dialogue": "Go ahead and put up where you put it." - }, - { - "start": "07:15.92", - "stop": "07:16.20", - "speaker": "Student", - "dialogue": "For B." - }, - { - "start": "07:27.44", - "stop": "07:40.44", - "speaker": "Tutor", - "dialogue": "And you can lead it with a letter took." - }, - { - "start": "07:42.00", - "stop": "07:42.32", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "07:44.24", - "stop": "07:44.44", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "07:44.76", - "stop": "07:44.80", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "07:49.24", - "stop": "07:49.56", - "speaker": "Tutor", - "dialogue": "Sope." - }, - { - "start": "07:49.60", - "stop": "07:49.64", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "07:49.72", - "stop": "07:50.20", - "speaker": "Tutor", - "dialogue": "Can see?" - }, - { - "start": "07:53.68", - "stop": "07:53.88", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "07:53.92", - "stop": "07:55.88", - "speaker": "Tutor", - "dialogue": "Would point F be located?" - }, - { - "start": "07:57.36", - "stop": "08:18.48", - "speaker": "Student", - "dialogue": "F. yeah, Mm, I feel like point F would be located." - }, - { - "start": "08:19.52", - "stop": "08:19.76", - "speaker": "Tutor", - "dialogue": "Here." - }, - { - "start": "08:51.36", - "stop": "08:51.40", - "speaker": "Student", - "dialogue": "With." - }, - { - "start": "08:51.60", - "stop": "08:51.72", - "speaker": "Tutor", - "dialogue": "Your." - }, - { - "start": "08:51.96", - "stop": "08:52.20", - "speaker": "Student", - "dialogue": "Errow." - }, - { - "start": "08:53.16", - "stop": "08:55.84", - "speaker": "Tutor", - "dialogue": "Show me the path that the C takes on the Mas" - }, - { - "start": "08:57.12", - "stop": "09:01.04", - "speaker": "Tutor", - "dialogue": "it leaves from Providencell." - }, - { - "start": "09:01.12", - "stop": "09:01.28", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "09:01.44", - "stop": "09:07.36", - "speaker": "Tutor", - "dialogue": "So you come up to Providence, pretend like your erranw is the car, and show me what happens." - }, - { - "start": "09:08.72", - "stop": "09:08.88", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "09:09.04", - "stop": "09:15.52", - "speaker": "Tutor", - "dialogue": "Driving driving Kirby Road, straight road down through New York City and Inns in Newark." - }, - { - "start": "09:17.64", - "stop": "09:17.68", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "09:17.92", - "stop": "09:21.60", - "speaker": "Tutor", - "dialogue": "The graph show me where the car starts the journey." - }, - { - "start": "09:24.44", - "stop": "09:26.96", - "speaker": "Student", - "dialogue": "It will start from here." - }, - { - "start": "09:28.84", - "stop": "09:31.00", - "speaker": "Tutor", - "dialogue": "Point with your arrow on the graph." - }, - { - "start": "09:34.96", - "stop": "09:35.00", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "09:35.20", - "stop": "09:36.96", - "speaker": "Tutor", - "dialogue": "On the graph, it's going to start at point A." - }, - { - "start": "09:38.68", - "stop": "09:38.72", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "09:39.00", - "stop": "09:44.84", - "speaker": "Tutor", - "dialogue": "Told me the journey starts from point A on the map, so I'll be the arrow on the map." - }, - { - "start": "09:45.48", - "stop": "09:47.08", - "speaker": "Tutor", - "dialogue": "You be the arrow on the graph." - }, - { - "start": "09:48.00", - "stop": "09:51.32", - "speaker": "Tutor", - "dialogue": "So I start driving on the map, and you start driving on the graph." - }, - { - "start": "09:51.60", - "stop": "09:57.12", - "speaker": "Tutor", - "dialogue": "Yep, then something happens therem, then we keep driving." - }, - { - "start": "09:59.56", - "stop": "09:59.72", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "09:59.76", - "stop": "10:01.52", - "speaker": "Tutor", - "dialogue": "We keep driving and driving." - }, - { - "start": "10:02.32", - "stop": "10:04.08", - "speaker": "Tutor", - "dialogue": "I end in point F on the map." - }, - { - "start": "10:04.28", - "stop": "10:06.28", - "speaker": "Tutor", - "dialogue": "You end in point f on the graph." - }, - { - "start": "10:08.60", - "stop": "10:08.64", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "10:09.00", - "stop": "10:16.48", - "speaker": "Tutor", - "dialogue": "Our journey starts F. Here is what you told me on the graph, so that means our journey starts at point A." - }, - { - "start": "10:19.64", - "stop": "10:19.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "10:19.88", - "stop": "10:24.96", - "speaker": "Tutor", - "dialogue": "If our journey starts at Providence on the map, where would point A be located?" - }, - { - "start": "10:32.60", - "stop": "10:33.48", - "speaker": "Student", - "dialogue": "Wit, can you repeat that?" - }, - { - "start": "10:33.80", - "stop": "10:36.56", - "speaker": "Tutor", - "dialogue": "Mhm, I'm going to ask it slightly different, okay?" - }, - { - "start": "10:37.16", - "stop": "10:37.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "10:38.52", - "stop": "10:41.60", - "speaker": "Tutor", - "dialogue": "Point F is the end of the journey." - }, - { - "start": "10:41.76", - "stop": "10:46.12", - "speaker": "Tutor", - "dialogue": "That's where you're pointing right now on the graph and I'm pointing on the map." - }, - { - "start": "10:47.20", - "stop": "10:49.40", - "speaker": "Tutor", - "dialogue": "Yup, Point f is the end of the journey." - }, - { - "start": "10:50.40", - "stop": "10:53.08", - "speaker": "Tutor", - "dialogue": "What point represents the beginning of the journey?" - }, - { - "start": "10:57.28", - "stop": "11:07.96", - "speaker": "Student", - "dialogue": "I would say Um, either C. B." - }, - { - "start": "11:09.28", - "stop": "11:22.52", - "speaker": "Tutor", - "dialogue": "Ah, so in a graph when we have an origin, that's where the graph starts, so we're going to assume that point A is the start of the journey." - }, - { - "start": "11:27.20", - "stop": "11:27.24", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "11:27.44", - "stop": "11:31.76", - "speaker": "Tutor", - "dialogue": "On the map, Providence is the start of the journey." - }, - { - "start": "11:35.68", - "stop": "11:35.72", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "11:35.96", - "stop": "11:40.44", - "speaker": "Tutor", - "dialogue": "If that's the case, what point belongs in Providence?" - }, - { - "start": "11:42.28", - "stop": "11:42.32", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "11:43.12", - "stop": "11:48.76", - "speaker": "Tutor", - "dialogue": "A yeah, and I know you want to keep a here because it matches the straight line." - }, - { - "start": "11:51.08", - "stop": "11:51.24", - "speaker": "Student", - "dialogue": "We're" - }, - { - "start": "11:51.28", - "stop": "11:53.24", - "speaker": "Tutor", - "dialogue": "Going to explore more about why?" - }, - { - "start": "11:53.84", - "stop": "11:54.88", - "speaker": "Tutor", - "dialogue": "isn't it there?" - }, - { - "start": "11:56.84", - "stop": "11:56.88", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "11:57.08", - "stop": "12:01.64", - "speaker": "Tutor", - "dialogue": "Let's put point A at the start of the map, start of the stag." - }, - { - "start": "12:07.00", - "stop": "12:07.04", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "12:07.20", - "stop": "12:18.12", - "speaker": "Tutor", - "dialogue": "It starts at a, ends at F, and now we have to figure out where point B, C and D and E would be somewhere in between here." - }, - { - "start": "12:19.96", - "stop": "12:20.00", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "12:20.16", - "stop": "12:23.72", - "speaker": "Tutor", - "dialogue": "Could we think about to help us figure out where to put some of those other points?" - }, - { - "start": "12:45.12", - "stop": "12:46.48", - "speaker": "Student", - "dialogue": "I don't know cool." - }, - { - "start": "12:47.04", - "stop": "12:50.72", - "speaker": "Tutor", - "dialogue": "Be caause, you have to not know to be able to learn something new." - }, - { - "start": "12:52.44", - "stop": "12:52.48", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "12:53.16", - "stop": "12:55.44", - "speaker": "Tutor", - "dialogue": "Saying I don't know is really cool." - }, - { - "start": "12:55.60", - "stop": "12:57.52", - "speaker": "Tutor", - "dialogue": "That means All right, I'm going to learn something now." - }, - { - "start": "12:58.92", - "stop": "12:59.12", - "speaker": "Student", - "dialogue": "We're" - }, - { - "start": "12:59.16", - "stop": "13:00.40", - "speaker": "Tutor", - "dialogue": "Going to use these words?" - }, - { - "start": "13:02.00", - "stop": "13:02.04", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "13:02.16", - "stop": "13:06.24", - "speaker": "Tutor", - "dialogue": "Describe some things and I'm goin to call em the purple power words." - }, - { - "start": "13:06.72", - "stop": "13:10.68", - "speaker": "Tutor", - "dialogue": "I'm going to challenge you to use them whenever I ask you a question." - }, - { - "start": "13:10.88", - "stop": "13:24.36", - "speaker": "Tutor", - "dialogue": "Ok, so any of these purple powerwords from A to B, describe what is happening with distance and time using these purple powerwords." - }, - { - "start": "13:26.52", - "stop": "13:29.44", - "speaker": "Student", - "dialogue": "Um, Wo point A to B. It's increasing." - }, - { - "start": "13:30.20", - "stop": "13:30.44", - "speaker": "Tutor", - "dialogue": "Is it?" - }, - { - "start": "13:32.84", - "stop": "13:39.44", - "speaker": "Student", - "dialogue": "No, the miles are increasing based on the time." - }, - { - "start": "13:40.16", - "stop": "13:53.00", - "speaker": "Tutor", - "dialogue": "Okay, so from point A to B, the distance is increasing, and from point A to B is the time increasing, decreasing or staying the same." - }, - { - "start": "13:54.04", - "stop": "13:54.60", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "13:55.72", - "stop": "13:58.12", - "speaker": "Tutor", - "dialogue": "So put it all together in one complete sentence." - }, - { - "start": "13:58.28", - "stop": "14:03.16", - "speaker": "Tutor", - "dialogue": "Now what's happening with distance and time from A to B?" - }, - { - "start": "14:05.36", - "stop": "14:08.20", - "speaker": "Student", - "dialogue": "The distance and time are increasing." - }, - { - "start": "14:10.56", - "stop": "14:11.88", - "speaker": "Tutor", - "dialogue": "Can you say more about?" - }, - { - "start": "14:12.60", - "stop": "14:12.92", - "speaker": "Tutor", - "dialogue": "Actually?" - }, - { - "start": "14:13.00", - "stop": "14:14.00", - "speaker": "Tutor", - "dialogue": "No, I changed my mind." - }, - { - "start": "14:14.48", - "stop": "14:19.20", - "speaker": "Tutor", - "dialogue": "We're going to do the same thing from B to C using those purple power words." - }, - { - "start": "14:19.60", - "stop": "14:21.24", - "speaker": "Tutor", - "dialogue": "What's happening from B to C?" - }, - { - "start": "14:23.04", - "stop": "14:28.16", - "speaker": "Student", - "dialogue": "From B to C, the distance and time are remaining the same." - }, - { - "start": "14:28.96", - "stop": "14:29.56", - "speaker": "Tutor", - "dialogue": "Both of them." - }, - { - "start": "14:30.60", - "stop": "14:30.76", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "14:32.04", - "stop": "14:36.88", - "speaker": "Tutor", - "dialogue": "Hey, show me how you know on A to B. the distance is increasing." - }, - { - "start": "14:39.48", - "stop": "14:55.72", - "speaker": "Student", - "dialogue": "Um, for the time, like I mean, for the distance it says from zero miles to fiftey miles, and for the time with the zero miles, that's no time used, but then fifty miles later, that's an hour." - }, - { - "start": "14:57.32", - "stop": "15:02.68", - "speaker": "Tutor", - "dialogue": "Okay, so from A to B, the distance is increasing by how much?" - }, - { - "start": "15:04.92", - "stop": "15:07.64", - "speaker": "Student", - "dialogue": "Fifty miles per hour." - }, - { - "start": "15:08.32", - "stop": "15:11.08", - "speaker": "Tutor", - "dialogue": "So you see an increase of fifty miles?" - }, - { - "start": "15:11.20", - "stop": "15:14.96", - "speaker": "Tutor", - "dialogue": "Oops, my arrow or my mouth slipped." - }, - { - "start": "15:19.16", - "stop": "15:19.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "15:19.44", - "stop": "15:24.28", - "speaker": "Tutor", - "dialogue": "From A to B, you see an increase of fifty miles right there." - }, - { - "start": "15:25.84", - "stop": "15:25.88", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "15:26.92", - "stop": "15:30.36", - "speaker": "Tutor", - "dialogue": "And from A to B, you see an increase of one hour." - }, - { - "start": "15:31.88", - "stop": "15:32.32", - "speaker": "Student", - "dialogue": "Hees." - }, - { - "start": "15:32.92", - "stop": "15:35.68", - "speaker": "Tutor", - "dialogue": "Okay, I'm going to add more detail to what you said up here." - }, - { - "start": "15:35.76", - "stop": "15:40.44", - "speaker": "Tutor", - "dialogue": "then, from A to B. the distance is increasing by how much." - }, - { - "start": "15:42.16", - "stop": "15:42.92", - "speaker": "Student", - "dialogue": "Fifty miles." - }, - { - "start": "15:46.28", - "stop": "15:46.32", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "15:48.56", - "stop": "15:48.60", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "15:48.80", - "stop": "15:49.08", - "speaker": "Tutor", - "dialogue": "Time." - }, - { - "start": "15:51.20", - "stop": "15:51.24", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "15:51.44", - "stop": "15:53.20", - "speaker": "Tutor", - "dialogue": "Go on is increasing by how much?" - }, - { - "start": "15:53.76", - "stop": "15:54.20", - "speaker": "Student", - "dialogue": "An hour." - }, - { - "start": "16:03.32", - "stop": "16:04.84", - "speaker": "Tutor", - "dialogue": "Now with that level of detai." - }, - { - "start": "16:06.76", - "stop": "16:06.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "16:06.92", - "stop": "16:09.20", - "speaker": "Tutor", - "dialogue": "You'll have to prove it to me on the graph." - }, - { - "start": "16:09.76", - "stop": "16:11.28", - "speaker": "Tutor", - "dialogue": "What's happening from B to C?" - }, - { - "start": "16:14.68", - "stop": "16:16.64", - "speaker": "Student", - "dialogue": "It's som meaning scen." - }, - { - "start": "16:17.16", - "stop": "16:24.32", - "speaker": "Tutor", - "dialogue": "So B, specific, and use those purple powerwords in a complete sentence from B to C. What's happening with distance?" - }, - { - "start": "16:24.40", - "stop": "16:28.20", - "speaker": "Tutor", - "dialogue": "And how do you know from B to C, what's happening with time?" - }, - { - "start": "16:28.32", - "stop": "16:29.00", - "speaker": "Tutor", - "dialogue": "And how do you know?" - }, - { - "start": "16:32.52", - "stop": "16:51.32", - "speaker": "Student", - "dialogue": "From B to C, the distance is staying the same by staying Uh, fifty miles, and the time is staying the same by staying a hour, Ok." - }, - { - "start": "16:52.16", - "stop": "16:53.96", - "speaker": "Tutor", - "dialogue": "Prove it to me on the graph." - }, - { - "start": "16:54.08", - "stop": "17:02.52", - "speaker": "Tutor", - "dialogue": "now how you know distance stays the same at fifty miles, and how you know time stays the same at one hour." - }, - { - "start": "17:04.92", - "stop": "17:10.64", - "speaker": "Student", - "dialogue": "Um, for me and see you can see in the Gruff, the line Fifty." - }, - { - "start": "17:10.88", - "stop": "17:11.80", - "speaker": "Student", - "dialogue": "it still remains." - }, - { - "start": "17:11.84", - "stop": "17:12.24", - "speaker": "Student", - "dialogue": "The same." - }, - { - "start": "17:14.08", - "stop": "17:16.64", - "speaker": "Student", - "dialogue": "Is this a straight line to fifty Oky?" - }, - { - "start": "17:16.84", - "stop": "17:21.44", - "speaker": "Tutor", - "dialogue": "So over here, there's no increase on the vertical axis." - }, - { - "start": "17:23.20", - "stop": "17:23.24", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "17:23.44", - "stop": "17:29.24", - "speaker": "Tutor", - "dialogue": "It stays the same at fifty now from B to C on the time or the X axis." - }, - { - "start": "17:29.36", - "stop": "17:30.12", - "speaker": "Tutor", - "dialogue": "What happens there?" - }, - { - "start": "17:33.76", - "stop": "17:42.88", - "speaker": "Student", - "dialogue": "Um, from B, T to C. For time, it's going the same." - }, - { - "start": "17:45.56", - "stop": "17:48.44", - "speaker": "Student", - "dialogue": "It's going on the same line like when yous straight." - }, - { - "start": "17:50.92", - "stop": "17:50.96", - "speaker": "Tutor", - "dialogue": "So" - }, - { - "start": "17:51.16", - "stop": "17:52.64", - "speaker": "Tutor", - "dialogue": "what is the time at?" - }, - { - "start": "17:52.76", - "stop": "17:54.60", - "speaker": "Tutor", - "dialogue": "C? How much time has passed?" - }, - { - "start": "17:56.92", - "stop": "17:57.96", - "speaker": "Student", - "dialogue": "Um, half an hour." - }, - { - "start": "18:00.16", - "stop": "18:01.12", - "speaker": "Tutor", - "dialogue": "From B to C." - }, - { - "start": "18:02.08", - "stop": "18:02.88", - "speaker": "Student", - "dialogue": "Yesu, it." - }, - { - "start": "18:03.36", - "stop": "18:07.16", - "speaker": "Student", - "dialogue": "It's in the middle between one and two, which is thirty minutes." - }, - { - "start": "18:08.40", - "stop": "18:13.96", - "speaker": "Tutor", - "dialogue": "Okay, so from B to C does the time change?" - }, - { - "start": "18:14.96", - "stop": "18:15.52", - "speaker": "Student", - "dialogue": "Y, or?" - }, - { - "start": "18:15.76", - "stop": "18:16.24", - "speaker": "Tutor", - "dialogue": "Every Sme." - }, - { - "start": "18:16.80", - "stop": "18:18.52", - "speaker": "Student", - "dialogue": "It increases by thirty minutes." - }, - { - "start": "18:19.12", - "stop": "18:22.60", - "speaker": "Tutor", - "dialogue": "Ok, so now put all of that together in one sentence." - }, - { - "start": "18:22.88", - "stop": "18:24.12", - "speaker": "Tutor", - "dialogue": "What happens with distance?" - }, - { - "start": "18:24.36", - "stop": "18:28.16", - "speaker": "Tutor", - "dialogue": "what happens with time and using these purple powerwords?" - }, - { - "start": "18:30.36", - "stop": "18:40.00", - "speaker": "Student", - "dialogue": "From B to C, the distance is remaining the same and the time is increasing by thirty minutes." - }, - { - "start": "18:43.40", - "stop": "18:43.72", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "18:44.20", - "stop": "18:45.72", - "speaker": "Tutor", - "dialogue": "See if I captured that right?" - }, - { - "start": "18:46.08", - "stop": "18:47.68", - "speaker": "Tutor", - "dialogue": "Did I type down what you said, right?" - }, - { - "start": "18:48.48", - "stop": "18:48.96", - "speaker": "Student", - "dialogue": "Mm, yes." - }, - { - "start": "18:49.60", - "stop": "18:49.84", - "speaker": "Tutor", - "dialogue": "Oka." - }, - { - "start": "18:51.32", - "stop": "18:51.48", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "18:51.60", - "stop": "18:53.12", - "speaker": "Tutor", - "dialogue": "What happens from C to D?" - }, - { - "start": "18:58.56", - "stop": "19:24.12", - "speaker": "Student", - "dialogue": "From C to D, distance is increasing by fifty miles, and for time, it's increasing by Mm by fifteen minutes." - }, - { - "start": "19:27.96", - "stop": "19:29.04", - "speaker": "Tutor", - "dialogue": "Prove to me on the graph." - }, - { - "start": "19:29.08", - "stop": "19:29.76", - "speaker": "Tutor", - "dialogue": "How did you know that?" - }, - { - "start": "19:33.56", - "stop": "19:45.36", - "speaker": "Student", - "dialogue": "Um, for distance, Um, point C is to a fifty, and when it goes up, the D is near the one hundred." - }, - { - "start": "19:48.04", - "stop": "19:49.84", - "speaker": "Tutor", - "dialogue": "So how did you know from C to D?" - }, - { - "start": "19:50.20", - "stop": "19:53.60", - "speaker": "Tutor", - "dialogue": "it increased by fifty miles and not a hundred miles." - }, - { - "start": "19:56.92", - "stop": "20:00.12", - "speaker": "Student", - "dialogue": "Um, because from May to C, it still remained at fifty." - }, - { - "start": "20:00.20", - "stop": "20:01.48", - "speaker": "Student", - "dialogue": "It didn't go anywhere near." - }, - { - "start": "20:04.12", - "stop": "20:05.92", - "speaker": "Tutor", - "dialogue": "So what does the D at a hundred mean?" - }, - { - "start": "20:09.00", - "stop": "20:17.28", - "speaker": "Student", - "dialogue": "Um, it just means the distance each goes by fifty." - }, - { - "start": "20:17.96", - "stop": "20:22.92", - "speaker": "Tutor", - "dialogue": "Yeah, so from D, that means the car has traveleed a hundred miles total." - }, - { - "start": "20:24.20", - "stop": "20:24.24", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "20:24.40", - "stop": "20:32.96", - "speaker": "Tutor", - "dialogue": "The whole trip, but from C to D, just like you said, it increased ten, twenty, thirty, forty fifty miles." - }, - { - "start": "20:35.24", - "stop": "20:35.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "20:36.04", - "stop": "20:36.24", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "20:37.88", - "stop": "20:37.92", - "speaker": "Student", - "dialogue": "D." - }, - { - "start": "20:38.20", - "stop": "20:39.60", - "speaker": "Tutor", - "dialogue": "To E, what happened?" - }, - { - "start": "20:50.64", - "stop": "20:59.48", - "speaker": "Student", - "dialogue": "Mm, I say it increased by only forty five miles." - }, - { - "start": "20:59.92", - "stop": "21:00.52", - "speaker": "Tutor", - "dialogue": "What's the it?" - }, - { - "start": "21:02.40", - "stop": "21:03.16", - "speaker": "Student", - "dialogue": "The miles." - }, - { - "start": "21:04.12", - "stop": "21:08.20", - "speaker": "Tutor", - "dialogue": "Okay, so the distance increased by forty five miles." - }, - { - "start": "21:08.92", - "stop": "21:09.72", - "speaker": "Student", - "dialogue": "Yes, okay." - }, - { - "start": "21:12.24", - "stop": "21:12.28", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "21:46.48", - "stop": "21:46.76", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "21:47.04", - "stop": "21:47.08", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "21:47.28", - "stop": "21:47.32", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "21:47.40", - "stop": "21:55.16", - "speaker": "Tutor", - "dialogue": "Distance increased by you can label that on the graph, the distance increased by how much, and the time increased by how much." - }, - { - "start": "22:33.80", - "stop": "22:34.28", - "speaker": "Student", - "dialogue": "Beautiful." - }, - { - "start": "22:34.40", - "stop": "22:36.80", - "speaker": "Tutor", - "dialogue": "Yeah, so label that in some way that makes sense for you." - }, - { - "start": "22:56.76", - "stop": "22:56.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "22:57.08", - "stop": "23:01.92", - "speaker": "Tutor", - "dialogue": "Then is that thirty five miles or thirty five hours, or thirtyfive, something else?" - }, - { - "start": "23:02.36", - "stop": "23:04.04", - "speaker": "Student", - "dialogue": "Thirtyive miles." - }, - { - "start": "23:08.00", - "stop": "23:12.16", - "speaker": "Tutor", - "dialogue": "And the time, then, how much has it increased?" - }, - { - "start": "23:12.24", - "stop": "23:14.48", - "speaker": "Tutor", - "dialogue": "And then label it in some way that makes sense for you." - }, - { - "start": "23:32.92", - "stop": "24:03.72", - "speaker": "Student", - "dialogue": "Two, um, I'd say Um, The distance it increased by an hour and thirty minutes." - }, - { - "start": "24:03.92", - "stop": "24:04.80", - "speaker": "Student", - "dialogue": "No, twenty minutes." - }, - { - "start": "24:05.80", - "stop": "24:08.28", - "speaker": "Tutor", - "dialogue": "The distance increased by an hour and twenty minutes." - }, - { - "start": "24:08.80", - "stop": "24:08.84", - "speaker": "Tutor", - "dialogue": "yeah?" - }, - { - "start": "24:09.72", - "stop": "24:09.76", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "24:09.92", - "stop": "24:11.84", - "speaker": "Tutor", - "dialogue": "The time increased by an hour and twenty." - }, - { - "start": "24:11.92", - "stop": "24:14.00", - "speaker": "Student", - "dialogue": "Minutes, Oh, wait, the time, my yeah." - }, - { - "start": "24:14.20", - "stop": "24:16.44", - "speaker": "Tutor", - "dialogue": "There's a lot of different units to keep track of." - }, - { - "start": "24:16.72", - "stop": "24:16.84", - "speaker": "Tutor", - "dialogue": "Uh." - }, - { - "start": "24:17.92", - "stop": "24:18.08", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "24:18.52", - "stop": "24:27.60", - "speaker": "Tutor", - "dialogue": "So something I encourage you to do all the time whenever you're working on math stuff is label, what are your numbers meaning?" - }, - { - "start": "24:28.96", - "stop": "24:33.72", - "speaker": "Tutor", - "dialogue": "Because it's easy to get lost, The more things that we're trying to keep track of." - }, - { - "start": "24:34.80", - "stop": "24:36.20", - "speaker": "Tutor", - "dialogue": "So that's why I said thirty-five" - }, - { - "start": "24:36.32", - "stop": "24:36.36", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "24:36.80", - "stop": "24:39.08", - "speaker": "Tutor", - "dialogue": "And it's not just the label, your answer." - }, - { - "start": "24:39.20", - "stop": "24:46.20", - "speaker": "Tutor", - "dialogue": "When you're done with a question, always think about what are these numbers keeping track of, and find a way to label it" - }, - { - "start": "24:46.32", - "stop": "24:47.00", - "speaker": "Tutor", - "dialogue": "That makes sense of." - }, - { - "start": "24:50.36", - "stop": "24:50.56", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "24:50.72", - "stop": "24:58.92", - "speaker": "Tutor", - "dialogue": "So, now that I've completely interrupted your train of thought, what are you going to label to show how time is increasing here?" - }, - { - "start": "25:05.88", - "stop": "25:14.92", - "speaker": "Student", - "dialogue": "Me, I would just label like the bottom of time, like say what time it is." - }, - { - "start": "25:58.56", - "stop": "25:58.84", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "25:59.96", - "stop": "26:00.12", - "speaker": "Student", - "dialogue": "We're" - }, - { - "start": "26:00.16", - "stop": "26:00.20", - "speaker": "Tutor", - "dialogue": "Not." - }, - { - "start": "26:00.28", - "stop": "26:00.44", - "speaker": "Student", - "dialogue": "Going." - }, - { - "start": "26:00.48", - "stop": "26:03.64", - "speaker": "Tutor", - "dialogue": "To label e f right now, we're going to go back to our map." - }, - { - "start": "26:04.08", - "stop": "26:08.60", - "speaker": "Tutor", - "dialogue": "So remember the graph is this whole journey from A to F." - }, - { - "start": "26:10.32", - "stop": "26:10.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "26:10.56", - "stop": "26:24.32", - "speaker": "Tutor", - "dialogue": "The map is the whole journey from A to F. It takes four hours and we travel a hundred and fifty miles from A to F. In between here, there are some different points along the way." - }, - { - "start": "26:27.92", - "stop": "26:27.96", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "26:28.16", - "stop": "26:30.08", - "speaker": "Tutor", - "dialogue": "Made a prediction of where you thought B would be." - }, - { - "start": "26:31.28", - "stop": "26:34.04", - "speaker": "Tutor", - "dialogue": "Do you want to leave it there or do you want to change it?" - }, - { - "start": "26:34.76", - "stop": "26:35.84", - "speaker": "Student", - "dialogue": "I would want to change it." - }, - { - "start": "26:36.04", - "stop": "26:40.28", - "speaker": "Tutor", - "dialogue": "Okay, change it to where you want to change it and then be prepared." - }, - { - "start": "26:40.32", - "stop": "26:42.12", - "speaker": "Tutor", - "dialogue": "Tonion, why you're putting it where you're putting it?" - }, - { - "start": "26:58.16", - "stop": "26:58.76", - "speaker": "Student", - "dialogue": "What happened?" - }, - { - "start": "26:59.76", - "stop": "27:00.60", - "speaker": "Tutor", - "dialogue": "Can you not see it?" - }, - { - "start": "27:02.36", - "stop": "27:02.48", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "27:03.08", - "stop": "27:04.56", - "speaker": "Tutor", - "dialogue": "You might have clicked off the screen." - }, - { - "start": "27:05.68", - "stop": "27:05.88", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "27:06.36", - "stop": "27:07.32", - "speaker": "Tutor", - "dialogue": "Try to click back on." - }, - { - "start": "27:07.44", - "stop": "27:09.24", - "speaker": "Student", - "dialogue": "It, how do I do it?" - }, - { - "start": "27:10.04", - "stop": "27:24.92", - "speaker": "Tutor", - "dialogue": "Um, your mouse is to the left, so move it to the right and see if you can get it back on the screenre." - }, - { - "start": "27:25.08", - "stop": "27:25.12", - "speaker": "Student", - "dialogue": "Go." - }, - { - "start": "27:25.40", - "stop": "27:27.32", - "speaker": "Tutor", - "dialogue": "Is se yes, okay?" - }, - { - "start": "27:40.88", - "stop": "27:40.92", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "27:41.00", - "stop": "27:42.36", - "speaker": "Tutor", - "dialogue": "That your new prediction?" - }, - { - "start": "27:42.68", - "stop": "27:46.28", - "speaker": "Tutor", - "dialogue": "Yes, Okay, first of all, do we get to change our mind of math?" - }, - { - "start": "27:47.68", - "stop": "27:47.88", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "27:48.12", - "stop": "27:50.56", - "speaker": "Tutor", - "dialogue": "And do you get to edit and revise?" - }, - { - "start": "27:52.32", - "stop": "27:52.72", - "speaker": "Student", - "dialogue": "Mm, this." - }, - { - "start": "27:53.16", - "stop": "28:01.00", - "speaker": "Tutor", - "dialogue": "Yes, y, it's just like when you're writing a paper and you do a rough drafght, and then you go back and you edit and then you revise and you do a final draght." - }, - { - "start": "28:01.24", - "stop": "28:04.00", - "speaker": "Tutor", - "dialogue": "You can do the same thing whenever you're solving problems in math." - }, - { - "start": "28:04.36", - "stop": "28:07.12", - "speaker": "Tutor", - "dialogue": "It's completely awesome to try something." - }, - { - "start": "28:07.64", - "stop": "28:09.68", - "speaker": "Tutor", - "dialogue": "Change your mind and change it if you want." - }, - { - "start": "28:10.40", - "stop": "28:14.56", - "speaker": "Tutor", - "dialogue": "So you change your mind on B. Tell me why you put B where it is now." - }, - { - "start": "28:16.96", - "stop": "28:21.84", - "speaker": "Student", - "dialogue": "I put it there because well the line." - }, - { - "start": "28:22.04", - "stop": "28:24.36", - "speaker": "Student", - "dialogue": "it's not that Cckt." - }, - { - "start": "28:24.60", - "stop": "28:26.92", - "speaker": "Student", - "dialogue": "It still looks a little straight." - }, - { - "start": "28:28.80", - "stop": "28:34.48", - "speaker": "Tutor", - "dialogue": "So tell me using these purple power words, what's happened from A to B on the map?" - }, - { - "start": "28:36.04", - "stop": "28:39.96", - "speaker": "Student", - "dialogue": "From A to B, the line is increasing a little." - }, - { - "start": "28:42.20", - "stop": "28:44.52", - "speaker": "Tutor", - "dialogue": "What about distance and what about time?" - }, - { - "start": "28:46.72", - "stop": "28:52.48", - "speaker": "Student", - "dialogue": "Um, the distance is's increasing, and so is the time." - }, - { - "start": "28:53.12", - "stop": "28:53.80", - "speaker": "Tutor", - "dialogue": "By how much?" - }, - { - "start": "28:56.52", - "stop": "29:00.96", - "speaker": "Student", - "dialogue": "Um, for distance, it's increasing fifty miles and time is increasing by an hour." - }, - { - "start": "29:01.32", - "stop": "29:01.64", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "29:01.96", - "stop": "29:02.64", - "speaker": "Tutor", - "dialogue": "I'm in the label." - }, - { - "start": "29:02.84", - "stop": "29:06.04", - "speaker": "Tutor", - "dialogue": "S up here, so fifty miles." - }, - { - "start": "29:09.12", - "stop": "29:09.28", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "29:09.44", - "stop": "29:13.88", - "speaker": "Tutor", - "dialogue": "Fifty miles is that represented by point B, or is fifty miles" - }, - { - "start": "29:14.08", - "stop": "29:17.88", - "speaker": "Tutor", - "dialogue": "the entire amount of distance traveled from A to B?" - }, - { - "start": "29:18.92", - "stop": "29:20.64", - "speaker": "Student", - "dialogue": "Um, the entire distance travel." - }, - { - "start": "29:21.28", - "stop": "29:27.72", - "speaker": "Tutor", - "dialogue": "From A to B, Okay, So fifty miles there and you said the amount of time increased by one hour." - }, - { - "start": "29:29.52", - "stop": "29:29.72", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "29:29.96", - "stop": "29:31.56", - "speaker": "Tutor", - "dialogue": "B, where would I'm sorry?" - }, - { - "start": "29:31.72", - "stop": "29:33.24", - "speaker": "Tutor", - "dialogue": "C. Where would you put Point?" - }, - { - "start": "29:33.36", - "stop": "29:39.76", - "speaker": "Tutor", - "dialogue": "C, and No, I'm going to ask you to justify it with labels and those purple powerwords." - }, - { - "start": "30:03.04", - "stop": "30:03.32", - "speaker": "Student", - "dialogue": "Alright." - }, - { - "start": "30:03.40", - "stop": "30:04.48", - "speaker": "Tutor", - "dialogue": "Is that your prediction for C?" - }, - { - "start": "30:05.52", - "stop": "30:05.68", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "30:06.00", - "stop": "30:10.56", - "speaker": "Tutor", - "dialogue": "Allright, now, tell me why it's there using those purple words." - }, - { - "start": "30:12.84", - "stop": "30:19.56", - "speaker": "Student", - "dialogue": "It is there because from B to C the distance is remaining the same." - }, - { - "start": "30:19.84", - "stop": "30:24.68", - "speaker": "Student", - "dialogue": "Nothing is increasing or decreasing, but for the time it's increasing by thirty minutes." - }, - { - "start": "30:25.92", - "stop": "30:30.08", - "speaker": "Tutor", - "dialogue": "So from B to C, you said the distance is not increasing." - }, - { - "start": "30:30.44", - "stop": "30:31.60", - "speaker": "Tutor", - "dialogue": "It's remaining the same." - }, - { - "start": "30:32.56", - "stop": "30:32.72", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "30:33.60", - "stop": "30:38.56", - "speaker": "Tutor", - "dialogue": "On the map, does your map show the distance not increasing from B to C?" - }, - { - "start": "30:40.60", - "stop": "30:42.56", - "speaker": "Student", - "dialogue": "Um, yes." - }, - { - "start": "30:43.68", - "stop": "30:44.04", - "speaker": "Tutor", - "dialogue": "How so?" - }, - { - "start": "30:45.80", - "stop": "30:46.40", - "speaker": "Student", - "dialogue": "Can you repeat?" - }, - { - "start": "30:46.44", - "stop": "30:56.00", - "speaker": "Tutor", - "dialogue": "That again, Y, so in words, you said from B to C, distance does not increase, so that means the car has not travelled anywhere." - }, - { - "start": "30:58.36", - "stop": "30:58.40", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "30:58.56", - "stop": "31:04.16", - "speaker": "Tutor", - "dialogue": "The map, does it show the distance not increasing from B to C." - }, - { - "start": "31:05.64", - "stop": "31:08.40", - "speaker": "Student", - "dialogue": "While the car is moving, it's travelling." - }, - { - "start": "31:11.16", - "stop": "31:13.00", - "speaker": "Tutor", - "dialogue": "How can the car be travelling?" - }, - { - "start": "31:14.80", - "stop": "31:14.84", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "31:15.68", - "stop": "31:19.52", - "speaker": "Tutor", - "dialogue": "Have a distance that's not changing at the same time." - }, - { - "start": "31:25.20", - "stop": "31:25.80", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "31:27.84", - "stop": "31:30.48", - "speaker": "Tutor", - "dialogue": "So, in wor, that's cool words." - }, - { - "start": "31:31.76", - "stop": "31:33.44", - "speaker": "Tutor", - "dialogue": "this was how you described it earlier." - }, - { - "start": "31:44.72", - "stop": "31:44.88", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "31:44.96", - "stop": "31:50.04", - "speaker": "Tutor", - "dialogue": "B to C, the distance is remaining the same and the time is increasing by thirty." - }, - { - "start": "31:51.12", - "stop": "31:54.88", - "speaker": "Tutor", - "dialogue": "So on the map, how could you show the distance remaining the same?" - }, - { - "start": "31:58.80", - "stop": "32:04.20", - "speaker": "Student", - "dialogue": "I think it's because the line is g straight on the map." - }, - { - "start": "32:05.92", - "stop": "32:08.40", - "speaker": "Tutor", - "dialogue": "I see is the car moving at all." - }, - { - "start": "32:10.64", - "stop": "32:12.40", - "speaker": "Student", - "dialogue": "Um, meyes." - }, - { - "start": "32:14.08", - "stop": "32:18.84", - "speaker": "Tutor", - "dialogue": "If the distance is remaining, the same is the car stopped, or is it going?" - }, - { - "start": "32:23.04", - "stop": "32:24.88", - "speaker": "Student", - "dialogue": "I think it would be stopped." - }, - { - "start": "32:25.16", - "stop": "32:25.44", - "speaker": "Student", - "dialogue": "And if?" - }, - { - "start": "32:25.52", - "stop": "32:26.24", - "speaker": "Tutor", - "dialogue": "Its stopped." - }, - { - "start": "32:27.16", - "stop": "32:31.00", - "speaker": "Tutor", - "dialogue": "Is it going to keep going on the road here, or is it going to stay at the same spot?" - }, - { - "start": "32:31.40", - "stop": "32:33.36", - "speaker": "Student", - "dialogue": "It's gonna stay at the same spot." - }, - { - "start": "32:33.60", - "stop": "32:33.72", - "speaker": "Student", - "dialogue": "how?" - }, - { - "start": "32:33.80", - "stop": "32:35.36", - "speaker": "Tutor", - "dialogue": "Could you show that with your labels?" - }, - { - "start": "32:39.32", - "stop": "32:46.48", - "speaker": "Student", - "dialogue": "Oh, weh, on the graph you could see the line I feel like" - }, - { - "start": "32:47.44", - "stop": "32:48.88", - "speaker": "Student", - "dialogue": "during the traveling" - }, - { - "start": "32:49.00", - "stop": "32:52.52", - "speaker": "Student", - "dialogue": "it made a made a pitch stop and waited for like thirty minutes." - }, - { - "start": "32:54.04", - "stop": "32:57.28", - "speaker": "Tutor", - "dialogue": "So is C at a new point, or is it at the same point as B?" - }, - { - "start": "32:58.12", - "stop": "32:58.92", - "speaker": "Student", - "dialogue": "The same point, yeah." - }, - { - "start": "32:59.32", - "stop": "33:01.56", - "speaker": "Tutor", - "dialogue": "So move it to show that there you go." - }, - { - "start": "33:06.96", - "stop": "33:07.24", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "33:07.64", - "stop": "33:10.44", - "speaker": "Tutor", - "dialogue": "From C to D, what's going on now?" - }, - { - "start": "33:10.92", - "stop": "33:11.56", - "speaker": "Tutor", - "dialogue": "Where do you go?" - }, - { - "start": "33:12.16", - "stop": "33:12.28", - "speaker": "Tutor", - "dialogue": "Now?" - }, - { - "start": "33:12.36", - "stop": "33:14.16", - "speaker": "Tutor", - "dialogue": "you get to label point, Um." - }, - { - "start": "33:14.72", - "stop": "33:59.84", - "speaker": "Tutor", - "dialogue": "Dj." - }, - { - "start": "34:04.52", - "stop": "34:04.64", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "34:06.64", - "stop": "34:06.68", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "34:07.00", - "stop": "34:14.36", - "speaker": "Student", - "dialogue": "Put point because it's increasing the line." - }, - { - "start": "34:14.80", - "stop": "34:14.84", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "34:15.20", - "stop": "34:18.64", - "speaker": "Tutor", - "dialogue": "Is it and remember to come back to your urple words?" - }, - { - "start": "34:19.32", - "stop": "34:21.20", - "speaker": "Student", - "dialogue": "The distance is increasing." - }, - { - "start": "34:24.32", - "stop": "34:24.96", - "speaker": "Tutor", - "dialogue": "By how much?" - }, - { - "start": "34:26.76", - "stop": "34:31.68", - "speaker": "Student", - "dialogue": "Ah, it's increasing by fifty miles, and the time is increasing by fifty minutes." - }, - { - "start": "34:32.24", - "stop": "34:32.52", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "34:33.16", - "stop": "34:33.48", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "34:34.16", - "stop": "34:42.52", - "speaker": "Tutor", - "dialogue": "One more thing from A to B. You said the car traveled fifty miles per hour earlier." - }, - { - "start": "34:43.04", - "stop": "34:46.88", - "speaker": "Tutor", - "dialogue": "When I asked you some things that we could measure, you mentioned speed." - }, - { - "start": "34:48.36", - "stop": "34:48.52", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "34:48.64", - "stop": "34:53.08", - "speaker": "Tutor", - "dialogue": "We know the car has traveled fifty miles per one hour." - }, - { - "start": "34:53.64", - "stop": "34:55.68", - "speaker": "Tutor", - "dialogue": "Would we be able to find the speed of the car?" - }, - { - "start": "34:59.08", - "stop": "35:02.36", - "speaker": "Student", - "dialogue": "Um, I don't think so." - }, - { - "start": "35:03.96", - "stop": "35:06.00", - "speaker": "Tutor", - "dialogue": "What additional information would we need?" - }, - { - "start": "35:10.44", - "stop": "35:16.28", - "speaker": "Student", - "dialogue": "Um, we would need to know how fast it goes." - }, - { - "start": "35:17.40", - "stop": "35:19.64", - "speaker": "Tutor", - "dialogue": "And how do we measure how fast it goes?" - }, - { - "start": "35:19.76", - "stop": "35:20.88", - "speaker": "Tutor", - "dialogue": "What units do we use?" - }, - { - "start": "35:23.56", - "stop": "35:28.00", - "speaker": "Student", - "dialogue": "Um, I." - }, - { - "start": "35:30.36", - "stop": "35:39.80", - "speaker": "Tutor", - "dialogue": "So in, there's lots of different units we can use, but with cars and in the United States on roads, Oh?" - }, - { - "start": "35:39.88", - "stop": "35:41.32", - "speaker": "Student", - "dialogue": "Wouldn't it be kilometers?" - }, - { - "start": "35:41.92", - "stop": "35:43.88", - "speaker": "Tutor", - "dialogue": "That it's kilometers in other countries." - }, - { - "start": "35:45.40", - "stop": "35:45.44", - "speaker": "Student", - "dialogue": "In." - }, - { - "start": "35:45.52", - "stop": "35:48.76", - "speaker": "Tutor", - "dialogue": "The United States, we tend to use miles." - }, - { - "start": "35:51.72", - "stop": "35:51.92", - "speaker": "Student", - "dialogue": "Per." - }, - { - "start": "35:52.08", - "stop": "35:52.32", - "speaker": "Tutor", - "dialogue": "Hour." - }, - { - "start": "35:56.16", - "stop": "35:56.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "35:56.36", - "stop": "36:01.04", - "speaker": "Tutor", - "dialogue": "If you see like a speed limit on the side of the road and it says sixty." - }, - { - "start": "36:03.44", - "stop": "36:03.48", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "36:03.64", - "stop": "36:04.16", - "speaker": "Tutor", - "dialogue": "Ph." - }, - { - "start": "36:06.76", - "stop": "36:06.80", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "36:07.00", - "stop": "36:13.28", - "speaker": "Tutor", - "dialogue": "Means sixty miles per hour, So we'd say the speed of the car is sixty miles per hour." - }, - { - "start": "36:13.84", - "stop": "36:17.12", - "speaker": "Tutor", - "dialogue": "What that means is for every one hour." - }, - { - "start": "36:19.44", - "stop": "36:19.48", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "36:19.60", - "stop": "36:21.28", - "speaker": "Tutor", - "dialogue": "Car travels sixty miles." - }, - { - "start": "36:25.88", - "stop": "36:26.00", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "36:26.08", - "stop": "36:26.72", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "36:28.72", - "stop": "36:28.76", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "36:29.00", - "stop": "36:38.44", - "speaker": "Tutor", - "dialogue": "If I know that from A to B, the car traveled fifty miles and it took one hour, Do I have enough information to know the speed of the car?" - }, - { - "start": "36:40.12", - "stop": "36:40.20", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "36:40.56", - "stop": "36:41.00", - "speaker": "Tutor", - "dialogue": "Not yet." - }, - { - "start": "36:42.52", - "stop": "36:42.72", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "36:44.00", - "stop": "36:44.28", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "36:44.48", - "stop": "36:45.04", - "speaker": "Tutor", - "dialogue": "That's helpful" - }, - { - "start": "36:45.08", - "stop": "36:46.92", - "speaker": "Tutor", - "dialogue": "To know you'r thinking awesome." - }, - { - "start": "36:47.24", - "stop": "36:48.68", - "speaker": "Tutor", - "dialogue": "We are out of time." - }, - { - "start": "36:50.28", - "stop": "36:52.48", - "speaker": "Tutor", - "dialogue": "What was this experience like for you?" - }, - { - "start": "36:53.08", - "stop": "36:53.96", - "speaker": "Tutor", - "dialogue": "What was helpful?" - }, - { - "start": "36:54.40", - "stop": "36:55.52", - "speaker": "Tutor", - "dialogue": "What wasn't helpful?" - }, - { - "start": "36:56.28", - "stop": "36:59.96", - "speaker": "Tutor", - "dialogue": "What should we change or keep doingm?" - }, - { - "start": "37:00.00", - "stop": "37:00.92", - "speaker": "Student", - "dialogue": "A was more helpful" - }, - { - "start": "37:01.00", - "stop": "37:05.32", - "speaker": "Student", - "dialogue": "Was the graph like you, explaining it more how it works." - }, - { - "start": "37:05.56", - "stop": "37:08.72", - "speaker": "Student", - "dialogue": "Usually my teachers don't do that, Ah." - }, - { - "start": "37:09.32", - "stop": "37:13.76", - "speaker": "Tutor", - "dialogue": "So T any time you see a graph, no matter what is labelled" - }, - { - "start": "37:13.84", - "stop": "37:18.20", - "speaker": "Tutor", - "dialogue": "here, this is describing one thing that is changing." - }, - { - "start": "37:18.36", - "stop": "37:22.96", - "speaker": "Tutor", - "dialogue": "So right now the vertical axis is showing how distance is changing." - }, - { - "start": "37:23.96", - "stop": "37:33.96", - "speaker": "Tutor", - "dialogue": "The horizontal axis is showing how time is changing, and what's in the middle shows how they change in relation to each other." - }, - { - "start": "37:35.04", - "stop": "37:39.48", - "speaker": "Tutor", - "dialogue": "Keeping in mind these purple power words will be really helpful for you" - }, - { - "start": "37:40.04", - "stop": "37:49.32", - "speaker": "Tutor", - "dialogue": "Any time you're trying to make sense of a graph and resist the urge to say it, it is increasing or it is staying the same." - }, - { - "start": "37:50.44", - "stop": "37:53.96", - "speaker": "Tutor", - "dialogue": "Really use your variable words to help you make sense of it." - }, - { - "start": "37:54.52", - "stop": "37:59.56", - "speaker": "Tutor", - "dialogue": "So miles are staying the same or time is increasing." - }, - { - "start": "38:00.00", - "stop": "38:07.56", - "speaker": "Tutor", - "dialogue": "That'll help you make sense of what all graphs mean, regardless of what's labeled on the axes, Does that make sense?" - }, - { - "start": "38:08.68", - "stop": "38:09.56", - "speaker": "Student", - "dialogue": "Yes, cool." - }, - { - "start": "38:10.20", - "stop": "38:13.48", - "speaker": "Tutor", - "dialogue": "Anything else that's helpful for us to know that we could do different?" - }, - { - "start": "38:15.36", - "stop": "38:15.88", - "speaker": "Student", - "dialogue": "Not really." - }, - { - "start": "38:17.00", - "stop": "38:20.04", - "speaker": "Tutor", - "dialogue": "Um, you mentioned being able to understand how a graph works." - }, - { - "start": "38:20.44", - "stop": "38:25.28", - "speaker": "Tutor", - "dialogue": "Is there anything else you felt like you learned or changed your thinking about to-day" - }, - { - "start": "38:26.44", - "stop": "38:32.56", - "speaker": "Student", - "dialogue": "M, Well, the map like how to label the laps similar with graphs?" - }, - { - "start": "38:33.64", - "stop": "38:48.44", - "speaker": "Tutor", - "dialogue": "Yeah, that that they're related, Huh, yeah, that you can describe the same situation in a lot of different ways, maybe with a map, maybe with a graph, maybe with words, and thinking about the relationship between all of those is also something" - }, - { - "start": "38:48.48", - "stop": "38:51.40", - "speaker": "Tutor", - "dialogue": "that's really important when you're thinking about math situations." - }, - { - "start": "38:53.04", - "stop": "38:53.32", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "38:53.44", - "stop": "38:56.56", - "speaker": "Tutor", - "dialogue": "Steff, well, thank you so much for joining to-day" - }, - { - "start": "38:58.04", - "stop": "38:58.08", - "speaker": "Student", - "dialogue": "And?" - } -] \ No newline at end of file diff --git a/data/amber/7132022NI.json b/data/amber/7132022NI.json deleted file mode 100644 index de24ce8..0000000 --- a/data/amber/7132022NI.json +++ /dev/null @@ -1,2738 +0,0 @@ -[ - { - "start": "00:01.64", - "stop": "00:03.68", - "speaker": "Tutor", - "dialogue": "Okay, I'll flip the page now." - }, - { - "start": "00:04.72", - "stop": "00:06.92", - "speaker": "Tutor", - "dialogue": "there should be something on your screen." - }, - { - "start": "00:07.08", - "stop": "00:09.48", - "speaker": "Tutor", - "dialogue": "Now take a look at it, read it." - }, - { - "start": "00:10.04", - "stop": "00:14.84", - "speaker": "Tutor", - "dialogue": "think about it and describe what you think is happening in this situation." - }, - { - "start": "00:46.68", - "stop": "00:46.72", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "00:46.96", - "stop": "00:49.40", - "speaker": "Tutor", - "dialogue": "Do you understand is happening in this situation?" - }, - { - "start": "00:51.00", - "stop": "01:03.56", - "speaker": "Student", - "dialogue": "Um, that that there's a car that's taking a journey from Providence to New Yark, and then to New York Cityright?" - }, - { - "start": "01:04.84", - "stop": "01:08.76", - "speaker": "Tutor", - "dialogue": "What are some things you think we might be able to measure in this situation?" - }, - { - "start": "01:11.36", - "stop": "01:25.96", - "speaker": "Student", - "dialogue": "Um, the distance between Provndence and and to Newark, like distance between the two." - }, - { - "start": "01:26.56", - "stop": "01:27.84", - "speaker": "Tutor", - "dialogue": "What unit Wo use?" - }, - { - "start": "01:30.96", - "stop": "01:32.60", - "speaker": "Student", - "dialogue": "Um, miles." - }, - { - "start": "01:33.84", - "stop": "01:34.96", - "speaker": "Tutor", - "dialogue": "Aseure." - }, - { - "start": "01:38.04", - "stop": "01:57.48", - "speaker": "Student", - "dialogue": "Um, um, but I don't see anything." - }, - { - "start": "01:57.80", - "stop": "01:58.08", - "speaker": "Student", - "dialogue": "okay?" - }, - { - "start": "01:58.36", - "stop": "02:00.64", - "speaker": "Tutor", - "dialogue": "Cool, I'm gonna uncover something now." - }, - { - "start": "02:04.44", - "stop": "02:04.52", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "02:04.56", - "stop": "02:06.72", - "speaker": "Tutor", - "dialogue": "It's similar or different to what you were thinking about." - }, - { - "start": "02:18.48", - "stop": "02:21.20", - "speaker": "Student", - "dialogue": "Um, it's similar because Um." - }, - { - "start": "02:22.32", - "stop": "02:24.48", - "speaker": "Student", - "dialogue": "I said, like the units are are miles." - }, - { - "start": "02:24.72", - "stop": "02:25.96", - "speaker": "Student", - "dialogue": "the distance isn't miles." - }, - { - "start": "02:26.80", - "stop": "02:31.92", - "speaker": "Student", - "dialogue": "And but the difference is like the hours." - }, - { - "start": "02:32.56", - "stop": "02:45.36", - "speaker": "Student", - "dialogue": "like it takes like fifty miles takes one hour, and then and then between one and two, Uh, one point five." - }, - { - "start": "02:45.64", - "stop": "02:48.08", - "speaker": "Student", - "dialogue": "like that takes." - }, - { - "start": "02:48.60", - "stop": "02:51.44", - "speaker": "Student", - "dialogue": "It goes like to the right like." - }, - { - "start": "02:56.16", - "stop": "02:59.60", - "speaker": "Tutor", - "dialogue": "Yeah, you're doing a great job of explaining what you're thinking as you're thinking it." - }, - { - "start": "02:59.96", - "stop": "03:00.52", - "speaker": "Tutor", - "dialogue": "That's awesome." - }, - { - "start": "03:00.64", - "stop": "03:01.64", - "speaker": "Tutor", - "dialogue": "Keep doing that okay." - }, - { - "start": "03:02.56", - "stop": "03:02.88", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "03:03.76", - "stop": "03:18.88", - "speaker": "Tutor", - "dialogue": "Yeah, so we could measure how distance and in units of miles are changing, And you're saying we could also measure hours or how long it's taking to travel an amount of distance at the same time?" - }, - { - "start": "03:20.64", - "stop": "03:20.68", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "03:20.76", - "stop": "03:21.72", - "speaker": "Tutor", - "dialogue": "That what you're describing?" - }, - { - "start": "03:22.32", - "stop": "03:22.52", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "03:23.32", - "stop": "03:29.28", - "speaker": "Tutor", - "dialogue": "Oka and then you started to talk about from A to B and B to C, and so on." - }, - { - "start": "03:30.08", - "stop": "03:30.76", - "speaker": "Tutor", - "dialogue": "Keep doing that." - }, - { - "start": "03:31.44", - "stop": "03:39.96", - "speaker": "Tutor", - "dialogue": "Describe what's happening as you look at the map and the graph during each stage of the journeyk." - }, - { - "start": "03:40.64", - "stop": "04:01.24", - "speaker": "Student", - "dialogue": "Um, so from like from C, like from point C, M to D, like, it goes up like diagonally like" - }, - { - "start": "04:02.20", - "stop": "04:13.76", - "speaker": "Student", - "dialogue": "It takes like more nthn an hour, because it goes from one point five hours to roughly two point five." - }, - { - "start": "04:14.20", - "stop": "04:42.88", - "speaker": "Student", - "dialogue": "So that's like a a hour between point C and D, and then from D to from D to E. cause point D's at two point five, and then point E is at like near three point five, and then that's like an hour an hour." - }, - { - "start": "04:43.04", - "stop": "04:52.48", - "speaker": "Student", - "dialogue": "Like each journey from from point D to E. and then point F is is right." - }, - { - "start": "04:52.64", - "stop": "05:01.20", - "speaker": "Student", - "dialogue": "It's close to point E, so I think that takes less than an hour, like thirty minutes." - }, - { - "start": "05:03.68", - "stop": "05:08.20", - "speaker": "Tutor", - "dialogue": "And you explained how long each of those sections take to travel in the journey?" - }, - { - "start": "05:09.60", - "stop": "05:09.64", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "05:09.84", - "stop": "05:12.00", - "speaker": "Tutor", - "dialogue": "Else can you say is going on from A to B?" - }, - { - "start": "05:12.52", - "stop": "05:19.68", - "speaker": "Tutor", - "dialogue": "if we're in the car, for example, on the map, what's happening as we're driving from A to B?" - }, - { - "start": "05:23.16", - "stop": "05:33.56", - "speaker": "Student", - "dialogue": "Um, can you repeat that?" - }, - { - "start": "05:33.96", - "stop": "05:34.20", - "speaker": "Student", - "dialogue": "Sure." - }, - { - "start": "05:34.40", - "stop": "05:41.60", - "speaker": "Tutor", - "dialogue": "Yeah, so I'm also, we have a map that you said shows a journey where we start from Providence to Newark." - }, - { - "start": "05:42.20", - "stop": "05:44.60", - "speaker": "Tutor", - "dialogue": "We're going to take a trip from Providence down to Newark." - }, - { - "start": "05:45.72", - "stop": "05:54.64", - "speaker": "Tutor", - "dialogue": "Then we have a graph that's describing the journey in terms of distance and miles and hours and time." - }, - { - "start": "05:55.08", - "stop": "05:55.56", - "speaker": "Tutor", - "dialogue": "traveleed." - }, - { - "start": "05:56.40", - "stop": "05:59.16", - "speaker": "Tutor", - "dialogue": "And I'm wondering how those two are related." - }, - { - "start": "06:00.16", - "stop": "06:01.88", - "speaker": "Tutor", - "dialogue": "How do you see those as being related?" - }, - { - "start": "06:34.60", - "stop": "06:35.92", - "speaker": "Student", - "dialogue": "Um, I'm not sure." - }, - { - "start": "06:36.88", - "stop": "06:38.72", - "speaker": "Tutor", - "dialogue": "Awesome, totally cool to say that." - }, - { - "start": "06:39.72", - "stop": "06:43.04", - "speaker": "Tutor", - "dialogue": "Okay, so I see some letters on the graph." - }, - { - "start": "06:45.16", - "stop": "06:45.36", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "06:45.44", - "stop": "06:49.20", - "speaker": "Tutor", - "dialogue": "Would those letters on the graph be on the map?" - }, - { - "start": "06:52.56", - "stop": "07:04.84", - "speaker": "Student", - "dialogue": "Um, point letter, A Mhm would be Uh, improvidence, like, like the Yeah and then." - }, - { - "start": "07:05.36", - "stop": "07:06.72", - "speaker": "Tutor", - "dialogue": "How do you know it's in Providence?" - }, - { - "start": "07:08.68", - "stop": "07:14.08", - "speaker": "Student", - "dialogue": "M, because a letter A's at zero, That's where the trip begins." - }, - { - "start": "07:15.12", - "stop": "07:19.96", - "speaker": "Tutor", - "dialogue": "Cool, S's on the graph, it starts at the origin and on the map the trip starts in Providence." - }, - { - "start": "07:20.04", - "stop": "07:23.96", - "speaker": "Tutor", - "dialogue": "Awesome, so label that put point A on the map in some way that makes sense for you." - }, - { - "start": "07:37.88", - "stop": "07:37.92", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "07:38.16", - "stop": "07:41.84", - "speaker": "Tutor", - "dialogue": "Put the do for where point A would be on the map." - }, - { - "start": "07:44.96", - "stop": "07:45.16", - "speaker": "Student", - "dialogue": "Make." - }, - { - "start": "07:45.16", - "stop": "07:47.68", - "speaker": "Tutor", - "dialogue": "Sure, I understand exactly how you're a." - }, - { - "start": "07:57.40", - "stop": "07:58.16", - "speaker": "Student", - "dialogue": "Just put a thought." - }, - { - "start": "07:58.52", - "stop": "08:00.88", - "speaker": "Tutor", - "dialogue": "Yeah, wherever point a wol be in your." - }, - { - "start": "08:15.28", - "stop": "08:15.52", - "speaker": "Student", - "dialogue": "Quick." - }, - { - "start": "08:15.88", - "stop": "08:16.76", - "speaker": "Tutor", - "dialogue": "And then keep going." - }, - { - "start": "08:17.20", - "stop": "08:18.56", - "speaker": "Tutor", - "dialogue": "Where would the other points be?" - }, - { - "start": "08:19.36", - "stop": "08:22.44", - "speaker": "Tutor", - "dialogue": "and know I'm going to ask the same thingy." - }, - { - "start": "08:22.96", - "stop": "08:24.08", - "speaker": "Tutor", - "dialogue": "Why did you put it there?" - }, - { - "start": "08:27.44", - "stop": "08:39.72", - "speaker": "Student", - "dialogue": "Ok, so just write the letter where I think the point B should be okay." - }, - { - "start": "09:05.24", - "stop": "09:26.52", - "speaker": "Student", - "dialogue": "eight okayight." - }, - { - "start": "09:27.16", - "stop": "09:29.48", - "speaker": "Tutor", - "dialogue": "Help me understand why you put it there." - }, - { - "start": "09:31.88", - "stop": "09:58.24", - "speaker": "Student", - "dialogue": "Um, because, Um, because cause that that seems like a reasonable estimate of fifty miles." - }, - { - "start": "09:58.68", - "stop": "10:03.36", - "speaker": "Student", - "dialogue": "Like like that seems close to it, I." - }, - { - "start": "10:03.40", - "stop": "10:03.72", - "speaker": "Tutor", - "dialogue": "Don't know." - }, - { - "start": "10:04.04", - "stop": "10:07.56", - "speaker": "Tutor", - "dialogue": "Okay, so you were thinking about how far is fifty miles on this trip?" - }, - { - "start": "10:08.60", - "stop": "10:09.20", - "speaker": "Student", - "dialogue": "Yeah, if." - }, - { - "start": "10:09.64", - "stop": "10:10.56", - "speaker": "Tutor", - "dialogue": "This the whole trip." - }, - { - "start": "10:14.24", - "stop": "10:14.28", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "10:15.72", - "stop": "10:23.20", - "speaker": "Tutor", - "dialogue": "Does fifty miles represent point B, or does fifty miles represent the distance from A to B?" - }, - { - "start": "10:25.92", - "stop": "10:27.20", - "speaker": "Student", - "dialogue": "Um, the distance." - }, - { - "start": "10:28.04", - "stop": "10:44.48", - "speaker": "Tutor", - "dialogue": "Okay, let's label that too, so we can ke'cause, there are going to be lots of things that we've got to think about and keep track, so where you can label fifty miles, So that helps us understand that that's what you were thinking to determine where to put point B." - }, - { - "start": "11:14.52", - "stop": "11:14.56", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "11:14.68", - "stop": "11:14.88", - "speaker": "Tutor", - "dialogue": "Can'?" - }, - { - "start": "11:15.04", - "stop": "11:16.08", - "speaker": "Student", - "dialogue": "Draw the computer, I." - }, - { - "start": "11:16.20", - "stop": "11:19.12", - "speaker": "Tutor", - "dialogue": "Heard that I know it's hard, isn't?" - }, - { - "start": "11:19.16", - "stop": "11:20.16", - "speaker": "Student", - "dialogue": "It, yeah." - }, - { - "start": "11:20.88", - "stop": "11:31.04", - "speaker": "Tutor", - "dialogue": "Um, sometimes, T like I could do this for you, because you know the next point is going to be point C. So tell me if this is easier for you." - }, - { - "start": "11:31.44", - "stop": "11:35.68", - "speaker": "Tutor", - "dialogue": "What if I put a point C, and then you select it and grab it?" - }, - { - "start": "11:36.12", - "stop": "11:37.04", - "speaker": "Tutor", - "dialogue": "Would that be helpful?" - }, - { - "start": "11:50.88", - "stop": "11:50.92", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "11:51.08", - "stop": "11:54.84", - "speaker": "Tutor", - "dialogue": "If you have your top arrow, your select tool, you can click on that C and then pull it." - }, - { - "start": "11:56.68", - "stop": "11:56.84", - "speaker": "Student", - "dialogue": "There." - }, - { - "start": "11:56.92", - "stop": "11:57.12", - "speaker": "Tutor", - "dialogue": "You go." - }, - { - "start": "12:32.20", - "stop": "12:33.32", - "speaker": "Student", - "dialogue": "Yeah, I think he goes there." - }, - { - "start": "12:33.48", - "stop": "12:35.56", - "speaker": "Tutor", - "dialogue": "Okay, and then I created a dot for you too." - }, - { - "start": "12:35.76", - "stop": "12:41.20", - "speaker": "Tutor", - "dialogue": "If you want to pull that to put it on point C. Is this more helpful than trying to drop?" - }, - { - "start": "12:42.28", - "stop": "12:42.48", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "12:44.92", - "stop": "12:44.96", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "12:45.12", - "stop": "12:45.16", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "12:45.24", - "stop": "12:47.04", - "speaker": "Tutor", - "dialogue": "Could tell you were deep in thought." - }, - { - "start": "12:49.60", - "stop": "12:49.64", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "12:50.48", - "stop": "12:54.64", - "speaker": "Tutor", - "dialogue": "Help me understand your thinking for why you put point C there." - }, - { - "start": "12:57.36", - "stop": "13:06.28", - "speaker": "Student", - "dialogue": "Um, because the distance from point B to C is thirty minutes." - }, - { - "start": "13:06.44", - "stop": "13:07.20", - "speaker": "Student", - "dialogue": "Because Cs" - }, - { - "start": "13:07.56", - "stop": "13:12.40", - "speaker": "Student", - "dialogue": "on the graph Cs in between one and two, so that's thirty minutes." - }, - { - "start": "13:13.68", - "stop": "13:18.04", - "speaker": "Student", - "dialogue": "So where I put point C like?" - }, - { - "start": "13:20.96", - "stop": "13:31.72", - "speaker": "Student", - "dialogue": "I think, That's like close to the the, The distance and time like the time it takes to get from point me to C." - }, - { - "start": "13:32.48", - "stop": "13:43.96", - "speaker": "Tutor", - "dialogue": "Okay, when you were looking from A to B, you said you were paying attention to how many miles the distance that had increased from A to B." - }, - { - "start": "13:45.92", - "stop": "13:46.12", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "13:46.24", - "stop": "13:55.48", - "speaker": "Tutor", - "dialogue": "B to C, were you still looking at distance and miles, or were you looking at time, or were you looking at both?" - }, - { - "start": "13:57.44", - "stop": "13:58.88", - "speaker": "Student", - "dialogue": "I was, I was akain both." - }, - { - "start": "13:59.68", - "stop": "14:05.60", - "speaker": "Tutor", - "dialogue": "Okay, so I'm going to challenge you to use these words that I just typed." - }, - { - "start": "14:08.16", - "stop": "14:08.36", - "speaker": "Student", - "dialogue": "I'll" - }, - { - "start": "14:08.40", - "stop": "14:10.28", - "speaker": "Tutor", - "dialogue": "Call them the purple power words." - }, - { - "start": "14:12.36", - "stop": "14:12.40", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "14:12.60", - "stop": "14:14.48", - "speaker": "Tutor", - "dialogue": "As you're describing your thinking." - }, - { - "start": "14:16.80", - "stop": "14:16.96", - "speaker": "Student", - "dialogue": "Use." - }, - { - "start": "14:17.36", - "stop": "14:23.68", - "speaker": "Tutor", - "dialogue": "These words to justify why you put the point where you did so from" - }, - { - "start": "14:23.80", - "stop": "14:27.96", - "speaker": "Tutor", - "dialogue": "A to B. distance was increasing by fifty miles." - }, - { - "start": "14:28.52", - "stop": "14:31.84", - "speaker": "Tutor", - "dialogue": "So you put the point about fifty miles away." - }, - { - "start": "14:33.36", - "stop": "14:40.84", - "speaker": "Tutor", - "dialogue": "What's happening from B to C with distance and with time using these purple words?" - }, - { - "start": "14:49.84", - "stop": "15:26.76", - "speaker": "Student", - "dialogue": "The time is Um, increasing by by thirty minutes and then the distance is Um." - }, - { - "start": "15:26.84", - "stop": "15:35.00", - "speaker": "Student", - "dialogue": "I think it's I'm not sure because it's going the O the other way like it's not going up." - }, - { - "start": "15:37.28", - "stop": "15:39.52", - "speaker": "Tutor", - "dialogue": "Yeah, it's a horizontal line, huh?" - }, - { - "start": "15:40.68", - "stop": "15:40.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "15:41.92", - "stop": "15:49.60", - "speaker": "Tutor", - "dialogue": "So from B to C is the distance increasing, decreasing, or staying the same?" - }, - { - "start": "15:55.72", - "stop": "15:56.44", - "speaker": "Student", - "dialogue": "Staying the same." - }, - { - "start": "15:57.52", - "stop": "16:02.52", - "speaker": "Tutor", - "dialogue": "If it is staying the same, what does that mean about the car on the map?" - }, - { - "start": "16:16.68", - "stop": "16:45.28", - "speaker": "Student", - "dialogue": "It means that the car is. Is the cars like moving up, the like the car is." - }, - { - "start": "16:45.32", - "stop": "16:48.16", - "speaker": "Student", - "dialogue": "Mo is like moving at a steady pace." - }, - { - "start": "16:48.52", - "stop": "16:54.68", - "speaker": "Student", - "dialogue": "Uh, oh, that's what I think I don't know." - }, - { - "start": "16:56.68", - "stop": "16:57.88", - "speaker": "Tutor", - "dialogue": "Is it making your brain hurt?" - }, - { - "start": "16:59.48", - "stop": "16:59.68", - "speaker": "Student", - "dialogue": "Kind." - }, - { - "start": "16:59.80", - "stop": "17:02.68", - "speaker": "Tutor", - "dialogue": "Of yes, that's what I want to happen." - }, - { - "start": "17:03.04", - "stop": "17:06.92", - "speaker": "Tutor", - "dialogue": "I can tell by your tone and by your uh mm weight." - }, - { - "start": "17:07.40", - "stop": "17:11.00", - "speaker": "Tutor", - "dialogue": "That's literally your brain thinking and trying to make sense right now." - }, - { - "start": "17:11.48", - "stop": "17:12.72", - "speaker": "Tutor", - "dialogue": "And that is learning." - }, - { - "start": "17:13.00", - "stop": "17:14.84", - "speaker": "Tutor", - "dialogue": "that's uncomfortable sometimes right." - }, - { - "start": "17:15.40", - "stop": "17:22.56", - "speaker": "Tutor", - "dialogue": "but thats, that's the way it should feel when you're learning something new, so lean into this a little bit like your." - }, - { - "start": "17:22.80", - "stop": "17:24.92", - "speaker": "Tutor", - "dialogue": "Your brain is really working hard right now." - }, - { - "start": "17:25.00", - "stop": "17:29.16", - "speaker": "Tutor", - "dialogue": "To try to make sense of this, Don't feel like you have to have an instant answer." - }, - { - "start": "17:29.60", - "stop": "17:32.48", - "speaker": "Tutor", - "dialogue": "It is totally Ok to say like Well, wait, is' it this?" - }, - { - "start": "17:32.88", - "stop": "17:33.88", - "speaker": "Tutor", - "dialogue": "Maybe I don't know." - }, - { - "start": "17:34.56", - "stop": "17:36.44", - "speaker": "Tutor", - "dialogue": "That is what it feels like when you're learning." - }, - { - "start": "17:38.12", - "stop": "17:39.28", - "speaker": "Tutor", - "dialogue": "So we're going" - }, - { - "start": "17:39.60", - "stop": "17:39.68", - "speaker": "Tutor", - "dialogue": "Let" - }, - { - "start": "17:40.04", - "stop": "17:43.84", - "speaker": "Tutor", - "dialogue": "let's do the same exercise with A to B, and then we'll come back B to C. Oka." - }, - { - "start": "17:44.72", - "stop": "17:54.84", - "speaker": "Tutor", - "dialogue": "So from A to B, describe what is happening with distance and time using those purple power words, and I'll type down what you're saying." - }, - { - "start": "18:00.28", - "stop": "18:21.04", - "speaker": "Student", - "dialogue": "The distance from A to B is increasing by fifty from zero to fifty miles, and then the time has increased by one hour from zero to one, so they're both increasing." - }, - { - "start": "18:24.92", - "stop": "18:25.08", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "18:25.24", - "stop": "18:25.60", - "speaker": "Student", - "dialogue": "Almost." - }, - { - "start": "18:25.76", - "stop": "18:27.76", - "speaker": "Tutor", - "dialogue": "Untyping what you wrote or what you said." - }, - { - "start": "18:29.76", - "stop": "18:29.88", - "speaker": "Student", - "dialogue": "By." - }, - { - "start": "18:30.00", - "stop": "18:30.96", - "speaker": "Tutor", - "dialogue": "Capture what you said." - }, - { - "start": "18:34.80", - "stop": "18:34.96", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "18:37.92", - "stop": "18:39.28", - "speaker": "Tutor", - "dialogue": "So from A to B?" - }, - { - "start": "18:41.76", - "stop": "18:41.80", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "18:42.00", - "stop": "18:44.20", - "speaker": "Tutor", - "dialogue": "Distance and time are increasing." - }, - { - "start": "18:44.96", - "stop": "18:46.28", - "speaker": "Tutor", - "dialogue": "You have fifty miles here." - }, - { - "start": "18:47.16", - "stop": "18:49.92", - "speaker": "Tutor", - "dialogue": "you also said Oops, I don't want that to be purple." - }, - { - "start": "18:54.40", - "stop": "18:54.44", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "18:54.88", - "stop": "19:00.08", - "speaker": "Tutor", - "dialogue": "Also said that it increased by one hour from A to B." - }, - { - "start": "19:03.56", - "stop": "19:03.76", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "19:04.00", - "stop": "19:10.28", - "speaker": "Tutor", - "dialogue": "B to C. same thing again using those increasing, decreasing or staying the same." - }, - { - "start": "19:12.28", - "stop": "19:12.56", - "speaker": "Student", - "dialogue": "Actually." - }, - { - "start": "19:12.64", - "stop": "19:13.48", - "speaker": "Tutor", - "dialogue": "Wait before you do that." - }, - { - "start": "19:13.60", - "stop": "19:14.44", - "speaker": "Tutor", - "dialogue": "I changed my mind." - }, - { - "start": "19:14.84", - "stop": "19:20.08", - "speaker": "Tutor", - "dialogue": "How did you know A to B was increasing the distance by fifty miles?" - }, - { - "start": "19:20.40", - "stop": "19:22.12", - "speaker": "Tutor", - "dialogue": "Show me on the graph where you saw that." - }, - { - "start": "19:27.76", - "stop": "19:35.32", - "speaker": "Student", - "dialogue": "Um, I saw it like like right here like it went." - }, - { - "start": "19:35.92", - "stop": "19:40.16", - "speaker": "Student", - "dialogue": "It's going up, not down or or to the side." - }, - { - "start": "19:40.20", - "stop": "19:41.04", - "speaker": "Student", - "dialogue": "It's just going up." - }, - { - "start": "19:41.12", - "stop": "19:42.28", - "speaker": "Student", - "dialogue": "So that's how I know." - }, - { - "start": "19:42.40", - "stop": "19:45.96", - "speaker": "Student", - "dialogue": "it's increasing and not decreasing." - }, - { - "start": "19:46.44", - "stop": "19:52.64", - "speaker": "Tutor", - "dialogue": "Okay, and how did you know it increased by a quantity of five or of fifty miles?" - }, - { - "start": "20:01.44", - "stop": "20:01.48", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "20:01.56", - "stop": "20:05.20", - "speaker": "Tutor", - "dialogue": "Agree with you, it's going up, so that means it's definitely increasing." - }, - { - "start": "20:05.60", - "stop": "20:07.72", - "speaker": "Tutor", - "dialogue": "But how did you know how much it increased by?" - }, - { - "start": "20:11.92", - "stop": "20:28.96", - "speaker": "Student", - "dialogue": "Because because point a started starts at zero, and then it it goes up to fifty, So like when you add those together, it' like it's still fifty because the number doesn't changek." - }, - { - "start": "20:29.36", - "stop": "20:33.96", - "speaker": "Tutor", - "dialogue": "So it went from zero to ten to twenty to thirty to forty to fifty." - }, - { - "start": "20:34.76", - "stop": "20:38.92", - "speaker": "Tutor", - "dialogue": "So the vertical axis is telling you how much the distance is increasing by." - }, - { - "start": "20:40.40", - "stop": "20:41.12", - "speaker": "Student", - "dialogue": "Yesk." - }, - { - "start": "20:41.52", - "stop": "20:48.64", - "speaker": "Tutor", - "dialogue": "And the horizontal axis is telling you from A to B how much time is increasing by." - }, - { - "start": "20:50.60", - "stop": "20:50.76", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "20:51.08", - "stop": "20:53.36", - "speaker": "Tutor", - "dialogue": "Okay, now, let's do the same thing with B to C." - }, - { - "start": "20:56.72", - "stop": "20:56.84", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "21:00.80", - "stop": "21:07.92", - "speaker": "Student", - "dialogue": "the, I know the distance from B to C is" - }, - { - "start": "21:08.08", - "stop": "21:14.84", - "speaker": "Student", - "dialogue": "staying is staying the same because it doesn't 'cause the graph is not going up." - }, - { - "start": "21:15.16", - "stop": "21:16.16", - "speaker": "Student", - "dialogue": "It's it's going." - }, - { - "start": "21:16.68", - "stop": "21:17.80", - "speaker": "Student", - "dialogue": "It's not horizontal." - }, - { - "start": "21:18.44", - "stop": "21:26.92", - "speaker": "Student", - "dialogue": "So and the, and the graph is not going down either, so it's just like at the same, like the same place." - }, - { - "start": "21:28.68", - "stop": "21:35.60", - "speaker": "Tutor", - "dialogue": "So if distance is staying the same, how much distance has been traveled from B to C?" - }, - { - "start": "21:50.60", - "stop": "21:50.72", - "speaker": "Student", - "dialogue": "Up." - }, - { - "start": "21:50.84", - "stop": "21:57.24", - "speaker": "Tutor", - "dialogue": "Here for A to B, you used fifty miles to label how much the distance had increased." - }, - { - "start": "22:00.84", - "stop": "22:00.88", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "22:01.20", - "stop": "22:01.52", - "speaker": "Tutor", - "dialogue": "Number." - }, - { - "start": "22:03.44", - "stop": "22:03.48", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "22:03.56", - "stop": "22:04.20", - "speaker": "Tutor", - "dialogue": "Can't move this." - }, - { - "start": "22:04.60", - "stop": "22:05.00", - "speaker": "Tutor", - "dialogue": "there we go." - }, - { - "start": "22:06.08", - "stop": "22:14.48", - "speaker": "Tutor", - "dialogue": "What number would you write here from B to C to show how much the distance has increased, decreased, or stayed the same." - }, - { - "start": "22:26.20", - "stop": "22:27.40", - "speaker": "Student", - "dialogue": "Um, zero." - }, - { - "start": "22:28.64", - "stop": "22:30.12", - "speaker": "Tutor", - "dialogue": "Mm, the ton ofer voice says." - }, - { - "start": "22:31.48", - "stop": "22:31.52", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "22:31.72", - "stop": "22:32.56", - "speaker": "Tutor", - "dialogue": "Are you convinced?" - }, - { - "start": "22:32.88", - "stop": "22:33.44", - "speaker": "Tutor", - "dialogue": "Are you still?" - }, - { - "start": "22:33.84", - "stop": "22:35.20", - "speaker": "Tutor", - "dialogue": "Are you wondering if it's zero?" - }, - { - "start": "22:37.04", - "stop": "22:37.68", - "speaker": "Student", - "dialogue": "I'm wondering." - }, - { - "start": "22:38.00", - "stop": "22:42.16", - "speaker": "Tutor", - "dialogue": "Okay, I'll give you some more time to think about that until you're convinced of it." - }, - { - "start": "22:53.24", - "stop": "22:53.44", - "speaker": "Student", - "dialogue": "These." - }, - { - "start": "22:53.48", - "stop": "22:56.28", - "speaker": "Tutor", - "dialogue": "Are the words that you use to describe it from B to C?" - }, - { - "start": "22:56.92", - "stop": "23:01.20", - "speaker": "Tutor", - "dialogue": "The time is increasing by thirty minutes and the distance is staying the same." - }, - { - "start": "23:03.44", - "stop": "23:03.56", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "23:03.64", - "stop": "23:05.28", - "speaker": "Tutor", - "dialogue": "The distance is staying the same." - }, - { - "start": "23:06.24", - "stop": "23:12.28", - "speaker": "Tutor", - "dialogue": "What number would you use to label how much the distance has changed from B to C?" - }, - { - "start": "23:26.88", - "stop": "23:28.04", - "speaker": "Student", - "dialogue": "Zero, no." - }, - { - "start": "23:28.52", - "stop": "23:32.16", - "speaker": "Tutor", - "dialogue": "Different tone this time, So is that like Yes, My final answer is zero." - }, - { - "start": "23:33.80", - "stop": "23:33.96", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "23:36.56", - "stop": "23:37.96", - "speaker": "Tutor", - "dialogue": "Then it went back to the yes." - }, - { - "start": "23:39.96", - "stop": "23:44.24", - "speaker": "Tutor", - "dialogue": "Um, So if you think it's zero, then label it over here, zero miles." - }, - { - "start": "23:45.92", - "stop": "23:46.12", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "23:46.20", - "stop": "23:48.12", - "speaker": "Tutor", - "dialogue": "B to C, the distance stayed the same." - }, - { - "start": "23:49.56", - "stop": "23:49.60", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "23:49.80", - "stop": "23:50.96", - "speaker": "Tutor", - "dialogue": "That means from B to C." - }, - { - "start": "23:52.68", - "stop": "23:52.72", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "23:52.84", - "stop": "23:55.04", - "speaker": "Tutor", - "dialogue": "Car has traveled zero miles." - }, - { - "start": "23:58.52", - "stop": "23:59.12", - "speaker": "Student", - "dialogue": "Zero miles." - }, - { - "start": "23:59.88", - "stop": "24:00.40", - "speaker": "Tutor", - "dialogue": "Is that what you?" - }, - { - "start": "24:00.84", - "stop": "24:01.88", - "speaker": "Tutor", - "dialogue": "Is that your final answer?" - }, - { - "start": "24:04.12", - "stop": "24:04.32", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "24:06.48", - "stop": "24:06.68", - "speaker": "Tutor", - "dialogue": "Own." - }, - { - "start": "24:06.76", - "stop": "24:06.80", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "24:07.08", - "stop": "24:07.84", - "speaker": "Tutor", - "dialogue": "Trust yourself." - }, - { - "start": "24:08.80", - "stop": "24:10.00", - "speaker": "Tutor", - "dialogue": "You're a powerful thinker." - }, - { - "start": "24:28.84", - "stop": "24:28.88", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "24:29.16", - "stop": "24:29.32", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "24:29.44", - "stop": "24:29.48", - "speaker": "Student", - "dialogue": "B." - }, - { - "start": "24:30.00", - "stop": "24:33.36", - "speaker": "Tutor", - "dialogue": "C, the car has traveled zero miles." - }, - { - "start": "24:35.84", - "stop": "24:36.00", - "speaker": "Student", - "dialogue": "Look." - }, - { - "start": "24:36.80", - "stop": "24:37.28", - "speaker": "Tutor", - "dialogue": "Your points." - }, - { - "start": "24:38.40", - "stop": "24:39.16", - "speaker": "Tutor", - "dialogue": "Are you confident?" - }, - { - "start": "24:39.24", - "stop": "24:40.16", - "speaker": "Tutor", - "dialogue": "That's where your points go?" - }, - { - "start": "24:40.60", - "stop": "24:43.60", - "speaker": "Tutor", - "dialogue": "Do you want to revise anything, or do you want some time to think about it?" - }, - { - "start": "24:47.52", - "stop": "24:49.12", - "speaker": "Student", - "dialogue": "It's now where the point goes dowd." - }, - { - "start": "24:49.80", - "stop": "24:49.84", - "speaker": "Tutor", - "dialogue": "W." - }, - { - "start": "24:52.12", - "stop": "25:06.64", - "speaker": "Student", - "dialogue": "Because from where I put B, the sea, and and I said, the distance layed the same, So that means that that there's no traveling like the car's not moving." - }, - { - "start": "25:08.00", - "stop": "25:08.04", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "25:10.00", - "stop": "25:10.12", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "25:10.24", - "stop": "25:11.16", - "speaker": "Student", - "dialogue": "No, no." - }, - { - "start": "25:20.32", - "stop": "25:23.28", - "speaker": "Tutor", - "dialogue": "So if the car has traveled zero miles, it's not moving." - }, - { - "start": "25:25.56", - "stop": "25:25.72", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "25:25.88", - "stop": "25:29.80", - "speaker": "Tutor", - "dialogue": "This show the car traveling zero miles and not moving from B to C." - }, - { - "start": "25:31.88", - "stop": "25:32.52", - "speaker": "Student", - "dialogue": "No, no." - }, - { - "start": "25:33.28", - "stop": "25:34.60", - "speaker": "Tutor", - "dialogue": "So how do you want to revise it?" - }, - { - "start": "25:40.60", - "stop": "25:44.20", - "speaker": "Student", - "dialogue": "But point B is also point C." - }, - { - "start": "25:45.32", - "stop": "25:45.96", - "speaker": "Tutor", - "dialogue": "Cool, too." - }, - { - "start": "25:46.52", - "stop": "25:47.72", - "speaker": "Tutor", - "dialogue": "Okay, how do you want to sell that?" - }, - { - "start": "25:51.28", - "stop": "26:08.40", - "speaker": "Student", - "dialogue": "Um, I put in like like B, and then you put, then I put like c next to it." - }, - { - "start": "26:08.76", - "stop": "26:09.36", - "speaker": "Tutor", - "dialogue": "That'll work." - }, - { - "start": "26:11.80", - "stop": "26:12.08", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "26:12.92", - "stop": "26:17.80", - "speaker": "Tutor", - "dialogue": "You can either rite it or you can drag the the ones from down below whatever works best for you." - }, - { - "start": "26:32.48", - "stop": "26:32.52", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "26:33.88", - "stop": "26:35.72", - "speaker": "Tutor", - "dialogue": "You've labeled the miles from Bt." - }, - { - "start": "26:35.88", - "stop": "26:39.32", - "speaker": "Tutor", - "dialogue": "C. What about the time from Bt" - }, - { - "start": "26:39.48", - "stop": "26:39.52", - "speaker": "Tutor", - "dialogue": "C?" - }, - { - "start": "26:56.00", - "stop": "26:58.16", - "speaker": "Student", - "dialogue": "Like the, The time is thirty minutes." - }, - { - "start": "26:58.36", - "stop": "26:59.68", - "speaker": "Student", - "dialogue": "Like I said before, Yeah." - }, - { - "start": "27:01.68", - "stop": "27:03.64", - "speaker": "Tutor", - "dialogue": "Do you want me to write it for you or do you want to write it?" - }, - { - "start": "27:05.96", - "stop": "27:07.36", - "speaker": "Student", - "dialogue": "Oh, you could writek." - }, - { - "start": "27:07.92", - "stop": "27:11.40", - "speaker": "Tutor", - "dialogue": "So the time has increased by thirty minutes." - }, - { - "start": "27:14.28", - "stop": "27:14.32", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "27:14.76", - "stop": "27:18.72", - "speaker": "Tutor", - "dialogue": "Distance has stayed the same, so the car has traveled zero miles." - }, - { - "start": "27:20.56", - "stop": "27:20.60", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "27:21.44", - "stop": "27:21.92", - "speaker": "Tutor", - "dialogue": "C to D." - }, - { - "start": "27:29.96", - "stop": "27:31.64", - "speaker": "Student", - "dialogue": "To do the same thing like before." - }, - { - "start": "27:32.16", - "stop": "27:35.76", - "speaker": "Tutor", - "dialogue": "Y, and you know I'm going to ask you to justify your thinkinga for." - }, - { - "start": "27:40.04", - "stop": "28:06.28", - "speaker": "Student", - "dialogue": "So from C to D, the distance has increased by fifty, and then and then the time is also increasing by increased by one hour." - }, - { - "start": "28:14.60", - "stop": "28:14.64", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "28:14.84", - "stop": "28:15.08", - "speaker": "Student", - "dialogue": "Makes." - }, - { - "start": "28:15.12", - "stop": "28:16.12", - "speaker": "Tutor", - "dialogue": "Sense for you on the map." - }, - { - "start": "29:03.76", - "stop": "29:04.96", - "speaker": "Student", - "dialogue": "Okay, I put it." - }, - { - "start": "29:06.12", - "stop": "29:09.20", - "speaker": "Tutor", - "dialogue": "Okay, I, C, point D." - }, - { - "start": "29:12.04", - "stop": "29:12.20", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "29:12.32", - "stop": "29:14.36", - "speaker": "Tutor", - "dialogue": "Many miles has increased from C to D." - }, - { - "start": "29:16.12", - "stop": "29:17.68", - "speaker": "Student", - "dialogue": "Um, fifty oky." - }, - { - "start": "29:18.32", - "stop": "29:19.28", - "speaker": "Tutor", - "dialogue": "I can write it for you." - }, - { - "start": "29:21.80", - "stop": "29:21.92", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "29:21.96", - "stop": "29:24.20", - "speaker": "Tutor", - "dialogue": "You just using like the track pad on your laptop?" - }, - { - "start": "29:26.64", - "stop": "29:26.80", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "29:26.88", - "stop": "29:32.80", - "speaker": "Tutor", - "dialogue": "Harder, huh, to draw with your finger there and it has inreased bye." - }, - { - "start": "29:35.64", - "stop": "29:35.80", - "speaker": "Student", - "dialogue": "Ken." - }, - { - "start": "29:36.84", - "stop": "29:38.00", - "speaker": "Tutor", - "dialogue": "Now, what about D to E?" - }, - { - "start": "29:41.56", - "stop": "30:06.52", - "speaker": "Student", - "dialogue": "From D to E, the this distance is increasing again by thirty, and in the time is increasing also um by my one hour again." - }, - { - "start": "30:07.32", - "stop": "30:15.56", - "speaker": "Tutor", - "dialogue": "Okay, so is the car moving in the same way from C to D as it is from D to E?" - }, - { - "start": "30:19.52", - "stop": "30:24.40", - "speaker": "Student", - "dialogue": "Oh no, W, a L. the line is not straight." - }, - { - "start": "30:25.92", - "stop": "30:29.64", - "speaker": "Tutor", - "dialogue": "So if the line isn't straight, what's going on during that time?" - }, - { - "start": "30:32.64", - "stop": "30:59.60", - "speaker": "Student", - "dialogue": "Um, that the car is like the car is driving is like not driving the same way as it was before Is driving like like in curves, Like, because the line looks like cury, nearing the end from d to E. so." - }, - { - "start": "31:00.04", - "stop": "31:02.40", - "speaker": "Tutor", - "dialogue": "So you think D to E is a Curveyer road?" - }, - { - "start": "31:04.60", - "stop": "31:05.60", - "speaker": "Student", - "dialogue": "Yeah, that's what I think." - }, - { - "start": "31:06.00", - "stop": "31:07.84", - "speaker": "Tutor", - "dialogue": "Okay, where would E be on your map?" - }, - { - "start": "31:11.16", - "stop": "31:11.28", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "31:56.44", - "stop": "31:56.48", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "31:58.56", - "stop": "31:58.76", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "31:58.88", - "stop": "31:59.40", - "speaker": "Tutor", - "dialogue": "D to e." - }, - { - "start": "32:01.72", - "stop": "32:01.76", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "32:02.16", - "stop": "32:04.80", - "speaker": "Tutor", - "dialogue": "See a pretty straight road here." - }, - { - "start": "32:07.72", - "stop": "32:07.92", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "32:08.20", - "stop": "32:16.36", - "speaker": "Tutor", - "dialogue": "Oh, but it's a curvey line over here and same thing from A to B." - }, - { - "start": "32:17.96", - "stop": "32:18.00", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "32:18.20", - "stop": "32:23.08", - "speaker": "Tutor", - "dialogue": "See a curvey road but a straight line on the graph." - }, - { - "start": "32:25.64", - "stop": "32:25.84", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "32:56.56", - "stop": "32:56.80", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "32:57.96", - "stop": "32:59.32", - "speaker": "Student", - "dialogue": "Yes, a difficult question." - }, - { - "start": "32:59.40", - "stop": "32:59.80", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "33:01.72", - "stop": "33:01.92", - "speaker": "Tutor", - "dialogue": "Yet?" - }, - { - "start": "33:02.36", - "stop": "33:02.40", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "33:02.76", - "stop": "33:14.76", - "speaker": "Tutor", - "dialogue": "Is going on there because I agree if we look back at A to B, where you put Point B is a reasonable estimate that looks like it's about fifty miles of the trip if this is the whole trip." - }, - { - "start": "33:16.84", - "stop": "33:16.88", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "33:17.08", - "stop": "33:18.60", - "speaker": "Tutor", - "dialogue": "There's a couple of curves here." - }, - { - "start": "33:20.44", - "stop": "33:20.48", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "33:20.64", - "stop": "33:21.76", - "speaker": "Tutor", - "dialogue": "Graph is straight." - }, - { - "start": "33:23.48", - "stop": "33:23.72", - "speaker": "Student", - "dialogue": "Makes." - }, - { - "start": "33:23.80", - "stop": "33:30.76", - "speaker": "Tutor", - "dialogue": "Me wonder, what does the graph keep track of, and what does the map keep track of?" - }, - { - "start": "33:32.48", - "stop": "33:32.52", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "33:32.68", - "stop": "33:43.48", - "speaker": "Tutor", - "dialogue": "How are they relatedep?" - }, - { - "start": "33:43.60", - "stop": "33:46.16", - "speaker": "Student", - "dialogue": "Track of the um." - }, - { - "start": "33:56.56", - "stop": "34:07.00", - "speaker": "Student", - "dialogue": "I, w, say the map keeps track of the the distance, but the graph says it keeps track of the distance and the time." - }, - { - "start": "34:39.76", - "stop": "34:40.68", - "speaker": "Tutor", - "dialogue": "So the distance?" - }, - { - "start": "34:43.96", - "stop": "34:44.00", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "34:44.32", - "stop": "35:00.56", - "speaker": "Tutor", - "dialogue": "Time are being kept track of on the graph, and this blue line is keeping track of how the distance and time are changing together, so from A to B the car travels fifty miles per hour." - }, - { - "start": "35:03.04", - "stop": "35:03.08", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "35:03.28", - "stop": "35:12.68", - "speaker": "Tutor", - "dialogue": "Fifty miles in one hour in a nice smooth line, so that means it is going at a constant rate of change." - }, - { - "start": "35:14.48", - "stop": "35:14.52", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "35:14.68", - "stop": "35:19.60", - "speaker": "Tutor", - "dialogue": "If its going at a constant rate of change, the car is traveling at the same." - }, - { - "start": "35:21.60", - "stop": "35:21.96", - "speaker": "Student", - "dialogue": "Speed." - }, - { - "start": "35:23.32", - "stop": "35:25.80", - "speaker": "Tutor", - "dialogue": "From point A to point B." - }, - { - "start": "35:29.48", - "stop": "35:29.52", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "35:29.76", - "stop": "35:32.28", - "speaker": "Tutor", - "dialogue": "Map has some curves." - }, - { - "start": "35:33.56", - "stop": "35:45.48", - "speaker": "Tutor", - "dialogue": "Is it possible to have a curveier road, but still travel at the same rateuld?" - }, - { - "start": "35:45.60", - "stop": "36:02.96", - "speaker": "Student", - "dialogue": "Be because the ditance is the same, The distance is be fifty miles, But the car could be going at the same like the same speed the whole time, but but maybe the curves might slow the car down a little bit." - }, - { - "start": "36:03.88", - "stop": "36:06.36", - "speaker": "Tutor", - "dialogue": "Unless I have the car set on cruise control." - }, - { - "start": "36:09.40", - "stop": "36:09.60", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "36:09.92", - "stop": "36:18.80", - "speaker": "Tutor", - "dialogue": "Even if I have some curves, the car is consistently going to travel fifty miles per hour from A to B, even if there's some curves." - }, - { - "start": "36:21.64", - "stop": "36:21.68", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "36:21.84", - "stop": "36:23.04", - "speaker": "Tutor", - "dialogue": "That's what's happening here." - }, - { - "start": "36:23.20", - "stop": "36:31.72", - "speaker": "Tutor", - "dialogue": "By what it's describing on the graph from A to B. That straight line there means the car was travelling at a constant rate." - }, - { - "start": "36:34.16", - "stop": "36:34.20", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "36:34.36", - "stop": "36:43.40", - "speaker": "Tutor", - "dialogue": "Map shows us the path the car took, so we know it's a curvey road, but the car was traveling at a constant speed of fifty miles per hour." - }, - { - "start": "36:45.16", - "stop": "36:45.32", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "36:45.44", - "stop": "36:49.52", - "speaker": "Tutor", - "dialogue": "B to C, the car stopped." - }, - { - "start": "36:50.28", - "stop": "36:56.80", - "speaker": "Tutor", - "dialogue": "It wasn't traveling at all for thirty minutes from C to D. What happened?" - }, - { - "start": "36:58.44", - "stop": "37:01.00", - "speaker": "Student", - "dialogue": "Um, the distance increased." - }, - { - "start": "37:01.72", - "stop": "37:07.36", - "speaker": "Tutor", - "dialogue": "Mhm, and is the car traveling at the same speed, or is it stopping and going, stopping and going?" - }, - { - "start": "37:10.76", - "stop": "37:11.72", - "speaker": "Student", - "dialogue": "It's the same speed." - }, - { - "start": "37:12.52", - "stop": "37:15.32", - "speaker": "Tutor", - "dialogue": "The same speed Yep, from C to D again." - }, - { - "start": "37:15.56", - "stop": "37:20.52", - "speaker": "Tutor", - "dialogue": "they set the crew's control, and they traveled from C to D at the same speed." - }, - { - "start": "37:21.76", - "stop": "37:23.28", - "speaker": "Tutor", - "dialogue": "What happened from D to E?" - }, - { - "start": "37:25.32", - "stop": "37:29.56", - "speaker": "Student", - "dialogue": "Um, from D to E. they weren't going P. the same." - }, - { - "start": "37:30.08", - "stop": "37:40.84", - "speaker": "Student", - "dialogue": "They weren't going the same speed because the road was different compared to the other roat the other points." - }, - { - "start": "37:43.32", - "stop": "37:48.48", - "speaker": "Tutor", - "dialogue": "And using these purple words, what's happening from D to E withce?" - }, - { - "start": "37:50.64", - "stop": "37:55.00", - "speaker": "Student", - "dialogue": "Um, the distance it is increasing." - }, - { - "start": "37:57.72", - "stop": "38:01.20", - "speaker": "Tutor", - "dialogue": "It is it increasing at a constant rate, or non coonstant." - }, - { - "start": "38:02.36", - "stop": "38:03.56", - "speaker": "Student", - "dialogue": "No, not not constant." - }, - { - "start": "38:03.76", - "stop": "38:09.56", - "speaker": "Tutor", - "dialogue": "And if it's not constant, then it increases, and then this little kind of flat line means it." - }, - { - "start": "38:11.88", - "stop": "38:12.28", - "speaker": "Student", - "dialogue": "Slows." - }, - { - "start": "38:12.40", - "stop": "38:13.40", - "speaker": "Tutor", - "dialogue": "Down or stops?" - }, - { - "start": "38:15.08", - "stop": "38:15.28", - "speaker": "Student", - "dialogue": "Yup." - }, - { - "start": "38:15.44", - "stop": "38:16.32", - "speaker": "Tutor", - "dialogue": "And then keep going." - }, - { - "start": "38:21.36", - "stop": "38:21.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "38:21.72", - "stop": "38:24.12", - "speaker": "Tutor", - "dialogue": "Even though it's a straight line from D to E." - }, - { - "start": "38:26.36", - "stop": "38:26.56", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "38:26.96", - "stop": "38:28.48", - "speaker": "Tutor", - "dialogue": "Is the graph bumpy there?" - }, - { - "start": "38:36.36", - "stop": "38:36.48", - "speaker": "Student", - "dialogue": "Let." - }, - { - "start": "38:36.56", - "stop": "38:44.44", - "speaker": "Tutor", - "dialogue": "Me, clarify my question, even though the road from where you label D to e is pretty much a straight road." - }, - { - "start": "38:46.88", - "stop": "38:47.08", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "38:47.24", - "stop": "38:47.92", - "speaker": "Tutor", - "dialogue": "Is the graph?" - }, - { - "start": "38:49.24", - "stop": "38:49.68", - "speaker": "Student", - "dialogue": "Bumpy." - }, - { - "start": "38:50.36", - "stop": "38:52.64", - "speaker": "Tutor", - "dialogue": "What's happening during this stage of the journey?" - }, - { - "start": "39:29.40", - "stop": "39:57.16", - "speaker": "Student", - "dialogue": "That the the car was from D to E. the car was, I'm not sure." - }, - { - "start": "39:57.92", - "stop": "40:01.92", - "speaker": "Tutor", - "dialogue": "Do you think that they have cruise control on Anymre, like they did from C to D?" - }, - { - "start": "40:03.76", - "stop": "40:03.88", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "40:04.52", - "stop": "40:10.76", - "speaker": "Tutor", - "dialogue": "No, so the car is, Is it travelling at the same speed this whole time?" - }, - { - "start": "40:12.48", - "stop": "40:12.60", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "40:13.20", - "stop": "40:15.04", - "speaker": "Tutor", - "dialogue": "So it, what's going on with it then?" - }, - { - "start": "40:17.48", - "stop": "40:19.00", - "speaker": "Student", - "dialogue": "Is travelling on a slower speed?" - }, - { - "start": "40:20.08", - "stop": "40:22.36", - "speaker": "Tutor", - "dialogue": "The whole time, or does it keep changing speeds?" - }, - { - "start": "40:25.60", - "stop": "40:31.76", - "speaker": "Student", - "dialogue": "Ah, from D to Es, the whole time." - }, - { - "start": "40:32.84", - "stop": "40:39.96", - "speaker": "Tutor", - "dialogue": "So from D to E, the car is kind of stopping and then going, and then stopping, and then going, and speeding up and slowing down." - }, - { - "start": "40:40.68", - "stop": "40:45.88", - "speaker": "Tutor", - "dialogue": "So as they come into New York, they probably hit some traffic." - }, - { - "start": "40:51.64", - "stop": "40:51.76", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "40:51.84", - "stop": "40:53.96", - "speaker": "Tutor", - "dialogue": "Because their speed is varying then." - }, - { - "start": "40:56.04", - "stop": "40:56.16", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "40:56.28", - "stop": "41:00.32", - "speaker": "Tutor", - "dialogue": "Right, we are almost at a time, so I first want to say." - }, - { - "start": "41:00.76", - "stop": "41:01.04", - "speaker": "Tutor", - "dialogue": "Ooh." - }, - { - "start": "41:01.20", - "stop": "41:03.00", - "speaker": "Tutor", - "dialogue": "I can tell you did some thinking today, right?" - }, - { - "start": "41:04.20", - "stop": "41:04.80", - "speaker": "Student", - "dialogue": "Yes, T." - }, - { - "start": "41:06.08", - "stop": "41:07.16", - "speaker": "Tutor", - "dialogue": "No more summer rain." - }, - { - "start": "41:07.96", - "stop": "41:14.96", - "speaker": "Tutor", - "dialogue": "Um, tell me what you know, that you're helping us learn more about this way of learning about math and using this platform." - }, - { - "start": "41:15.36", - "stop": "41:17.16", - "speaker": "Tutor", - "dialogue": "So your voice is really important." - }, - { - "start": "41:17.20", - "stop": "41:17.92", - "speaker": "Tutor", - "dialogue": "in this process." - }, - { - "start": "41:18.32", - "stop": "41:25.84", - "speaker": "Tutor", - "dialogue": "What was helpful for you or what wasn't helpful for you, or what are some things we should continue doing or maybe change?" - }, - { - "start": "41:29.16", - "stop": "41:30.12", - "speaker": "Student", - "dialogue": "Um, what?" - }, - { - "start": "41:30.36", - "stop": "41:32.28", - "speaker": "Student", - "dialogue": "what helped me was how?" - }, - { - "start": "41:33.44", - "stop": "41:35.48", - "speaker": "Student", - "dialogue": "How like the quest?" - }, - { - "start": "41:35.76", - "stop": "42:03.40", - "speaker": "Student", - "dialogue": "Like the how many questions you were asking me A, And that that really helps the the person answering the questions like, like their thinking like makes them like, learn easier in a way that that they get to understand what what they're being asked and and how they want to answer it." - }, - { - "start": "42:04.84", - "stop": "42:10.12", - "speaker": "Student", - "dialogue": "And what was the O part?" - }, - { - "start": "42:10.20", - "stop": "42:11.04", - "speaker": "Student", - "dialogue": "You, S I asked." - }, - { - "start": "42:11.16", - "stop": "42:16.28", - "speaker": "Tutor", - "dialogue": "Yeah, is there anything that you think we should do different or that wasn't as helpful for you?" - }, - { - "start": "42:30.28", - "stop": "42:30.32", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "42:30.44", - "stop": "42:30.56", - "speaker": "Tutor", - "dialogue": "Mean." - }, - { - "start": "42:30.72", - "stop": "42:42.16", - "speaker": "Student", - "dialogue": "I don't think there's nothing you should do different, but like uh, we today, I don't." - }, - { - "start": "42:42.44", - "stop": "42:43.72", - "speaker": "Student", - "dialogue": "I don't have any critiques." - }, - { - "start": "42:44.80", - "stop": "42:48.80", - "speaker": "Student", - "dialogue": "like, like, like negative comments." - }, - { - "start": "42:49.60", - "stop": "42:52.44", - "speaker": "Tutor", - "dialogue": "And it doesn't even necessarily have to be negative if there's just something like." - }, - { - "start": "42:52.56", - "stop": "42:54.68", - "speaker": "Tutor", - "dialogue": "Oh, it would really be helpful if you did blank." - }, - { - "start": "42:55.20", - "stop": "42:58.60", - "speaker": "Tutor", - "dialogue": "Or if you would have done this, it would have been helpful." - }, - { - "start": "42:58.68", - "stop": "43:02.48", - "speaker": "Tutor", - "dialogue": "So if any of those things come to mind, that's all I was asking." - }, - { - "start": "43:06.20", - "stop": "43:06.44", - "speaker": "Student", - "dialogue": "Good." - }, - { - "start": "43:09.96", - "stop": "43:10.00", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "43:10.84", - "stop": "43:11.00", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "43:11.08", - "stop": "43:12.24", - "speaker": "Tutor", - "dialogue": "You're looking at graphs." - }, - { - "start": "43:13.68", - "stop": "43:13.88", - "speaker": "Student", - "dialogue": "Whether?" - }, - { - "start": "43:14.00", - "stop": "43:17.20", - "speaker": "Tutor", - "dialogue": "It's distance in time or any time" - }, - { - "start": "43:17.28", - "stop": "43:26.76", - "speaker": "Tutor", - "dialogue": "You see a graph in your math class or in your life or in your work, Know that the vertical axis is showing how one thing is changing." - }, - { - "start": "43:27.80", - "stop": "43:38.60", - "speaker": "Tutor", - "dialogue": "The horizontal axis is showing how something else is in changing, and then the stuff in between is showing how they're changing in relationship to each other." - }, - { - "start": "43:40.08", - "stop": "43:40.12", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "43:40.32", - "stop": "43:48.56", - "speaker": "Tutor", - "dialogue": "Here we could say this graph is showing the speed of the car, because that's the relationship between miles and hours." - }, - { - "start": "43:49.32", - "stop": "43:53.72", - "speaker": "Tutor", - "dialogue": "Whenever you think about graphs, Also challenge yourself to think about these words." - }, - { - "start": "43:54.20", - "stop": "43:58.08", - "speaker": "Tutor", - "dialogue": "What's increasing, what's decreasing, What's staying." - }, - { - "start": "43:58.20", - "stop": "43:58.60", - "speaker": "Tutor", - "dialogue": "The Same." - }, - { - "start": "43:59.32", - "stop": "44:04.36", - "speaker": "Tutor", - "dialogue": "That will help you make sense of what the graph is representing and keeping track of." - }, - { - "start": "44:07.24", - "stop": "44:07.32", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "44:07.40", - "stop": "44:08.00", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "44:09.44", - "stop": "44:12.44", - "speaker": "Student", - "dialogue": "Yes, did those words?" - }, - { - "start": "44:12.80", - "stop": "44:15.92", - "speaker": "Student", - "dialogue": "the the increasing decreasing staying the same?" - }, - { - "start": "44:16.52", - "stop": "44:18.76", - "speaker": "Student", - "dialogue": "Um, When do you told me about them?" - }, - { - "start": "44:18.92", - "stop": "44:20.12", - "speaker": "Student", - "dialogue": "They, they really helped." - }, - { - "start": "44:21.56", - "stop": "44:21.96", - "speaker": "Tutor", - "dialogue": "They did." - }, - { - "start": "44:22.88", - "stop": "44:25.44", - "speaker": "Student", - "dialogue": "Yes, because I wasn't using those at first." - }, - { - "start": "44:26.32", - "stop": "44:32.56", - "speaker": "Tutor", - "dialogue": "Yeah, and sometimes whenever we've been taught about graphs, we've been taught to like Plot a point right." - }, - { - "start": "44:32.96", - "stop": "44:36.44", - "speaker": "Tutor", - "dialogue": "we've been taught like what's the address of the point or what's the ordered pair?" - }, - { - "start": "44:36.60", - "stop": "44:41.80", - "speaker": "Tutor", - "dialogue": "And then we connect the line, but really paying attention to what does that line mean" - }, - { - "start": "44:42.88", - "stop": "44:44.36", - "speaker": "Tutor", - "dialogue": "And what does that graph mean?" - }, - { - "start": "44:45.12", - "stop": "44:54.40", - "speaker": "Tutor", - "dialogue": "It always means the relationship between these two things, and there are always some sort of an increase, decrease or staying the same" - }, - { - "start": "44:54.84", - "stop": "44:58.00", - "speaker": "Tutor", - "dialogue": "That will help you make sense of the graph and the picture always." - }, - { - "start": "44:58.44", - "stop": "45:00.56", - "speaker": "Tutor", - "dialogue": "So remember those words, write em down." - }, - { - "start": "45:01.28", - "stop": "45:05.68", - "speaker": "Tutor", - "dialogue": "think about them and use them frequently, and I think it'll really help you with making sense of graphs" - }, - { - "start": "45:05.76", - "stop": "45:07.52", - "speaker": "Tutor", - "dialogue": "no matter what the graph is graphing." - }, - { - "start": "45:09.72", - "stop": "45:10.00", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "45:11.16", - "stop": "45:11.32", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "45:11.64", - "stop": "45:11.76", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "45:11.92", - "stop": "45:16.48", - "speaker": "Tutor", - "dialogue": "Right, well, thank you so much for joining to-day and I hope that you have a great day." - } -] \ No newline at end of file diff --git a/data/amber/7132022SM.json b/data/amber/7132022SM.json deleted file mode 100644 index 595c41b..0000000 --- a/data/amber/7132022SM.json +++ /dev/null @@ -1,3590 +0,0 @@ -[ - { - "start": "00:00.60", - "stop": "00:02.32", - "speaker": "Tutor", - "dialogue": "Then I'm going to change the screen." - }, - { - "start": "00:03.36", - "stop": "00:04.60", - "speaker": "Tutor", - "dialogue": "You see something different on your." - }, - { - "start": "00:04.64", - "stop": "00:05.12", - "speaker": "Student", - "dialogue": "Screen now." - }, - { - "start": "00:05.48", - "stop": "00:13.00", - "speaker": "Tutor", - "dialogue": "Yes, okay, so take a minute to read it and then describe what you think is happening in this situation." - }, - { - "start": "00:13.76", - "stop": "00:19.44", - "speaker": "Student", - "dialogue": "Someone's driving from Providence, Rhode Island to New Ark, and they're going through New York City." - }, - { - "start": "00:21.24", - "stop": "00:24.08", - "speaker": "Tutor", - "dialogue": "What are some things that we could measure in this situation?" - }, - { - "start": "00:25.16", - "stop": "00:31.56", - "speaker": "Student", - "dialogue": "Um, the mileage and I guess the speed of how fast a car is going." - }, - { - "start": "00:33.12", - "stop": "00:37.52", - "speaker": "Tutor", - "dialogue": "If we were going to measure the mileage, what would we be keeping track of?" - }, - { - "start": "00:46.16", - "stop": "00:46.56", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "00:46.96", - "stop": "00:50.60", - "speaker": "Student", - "dialogue": "Okay, It's like that's cool that Sre." - }, - { - "start": "00:50.76", - "stop": "00:53.84", - "speaker": "Tutor", - "dialogue": "That's cool, and you said we could also measure the speed." - }, - { - "start": "00:54.52", - "stop": "00:56.32", - "speaker": "Student", - "dialogue": "Yeah, and how fast the car is going?" - }, - { - "start": "00:56.56", - "stop": "01:01.32", - "speaker": "Tutor", - "dialogue": "Okay, so we could keep track of how fast the car is going, And to do that, we would measure the speed." - }, - { - "start": "01:02.00", - "stop": "01:04.72", - "speaker": "Tutor", - "dialogue": "What units would we use to measure speed?" - }, - { - "start": "01:05.44", - "stop": "01:06.32", - "speaker": "Student", - "dialogue": "Miles per hour." - }, - { - "start": "01:07.68", - "stop": "01:11.00", - "speaker": "Tutor", - "dialogue": "So we would need to know the miles and the hours to be able to do that." - }, - { - "start": "01:14.48", - "stop": "01:14.52", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "01:14.56", - "stop": "01:15.76", - "speaker": "Tutor", - "dialogue": "Am going to uncover something." - }, - { - "start": "01:16.44", - "stop": "01:19.04", - "speaker": "Tutor", - "dialogue": "Tell me how it's similar or different to what you were thinking." - }, - { - "start": "01:29.44", - "stop": "01:29.48", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "01:29.80", - "stop": "01:29.84", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "01:30.00", - "stop": "01:30.44", - "speaker": "Student", - "dialogue": "Makes sense." - }, - { - "start": "01:31.08", - "stop": "01:31.80", - "speaker": "Tutor", - "dialogue": "What makes sense?" - }, - { - "start": "01:31.88", - "stop": "01:34.68", - "speaker": "Tutor", - "dialogue": "What are some things that were similar or what are some things that were different?" - }, - { - "start": "01:35.80", - "stop": "01:43.40", - "speaker": "Student", - "dialogue": "Um, um, I'm assuming that from ours." - }, - { - "start": "01:44.12", - "stop": "01:47.96", - "speaker": "Student", - "dialogue": "I want to say two and a half to like three and a half." - }, - { - "start": "01:48.04", - "stop": "01:57.96", - "speaker": "Student", - "dialogue": "That's when they go through New York City, because it's the most kind of like not straight, and I'm assuming from hours one to one and a half" - }, - { - "start": "01:58.20", - "stop": "02:00.84", - "speaker": "Student", - "dialogue": "there was a breaker, really really bad traffic." - }, - { - "start": "02:02.00", - "stop": "02:02.52", - "speaker": "Student", - "dialogue": "How come?" - }, - { - "start": "02:03.72", - "stop": "02:06.40", - "speaker": "Student", - "dialogue": "because they're not moving, they're not moving." - }, - { - "start": "02:07.60", - "stop": "02:09.32", - "speaker": "Tutor", - "dialogue": "So from B to C?" - }, - { - "start": "02:10.44", - "stop": "02:10.60", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "02:10.68", - "stop": "02:12.44", - "speaker": "Tutor", - "dialogue": "B to C, they're completely stopped." - }, - { - "start": "02:12.84", - "stop": "02:16.24", - "speaker": "Tutor", - "dialogue": "Yeah, and then D to E. you said you thought was New York City." - }, - { - "start": "02:16.72", - "stop": "02:18.32", - "speaker": "Tutor", - "dialogue": "Yeah, why is it New York City?" - }, - { - "start": "02:19.44", - "stop": "02:27.76", - "speaker": "Student", - "dialogue": "Because it's really all over the place, it's not in a straight line as how like A to b or Cda, D or a f is." - }, - { - "start": "02:28.40", - "stop": "02:35.00", - "speaker": "Tutor", - "dialogue": "So on the graph, what is A to B keeping track of, and what is D to E, keeping track of?" - }, - { - "start": "02:35.52", - "stop": "02:39.20", - "speaker": "Tutor", - "dialogue": "Why is it straight from A to B, but squiggily from D to E?" - }, - { - "start": "02:45.28", - "stop": "03:15.60", - "speaker": "Student", - "dialogue": "Thecse, Um, it's from A to B. They, they're traveling faster, or Um, if we're going for literal sense, New York City is really busy, so that I, I would assume that's why it's kind of all over the place from D. d. E." - }, - { - "start": "03:17.00", - "stop": "03:19.52", - "speaker": "Tutor", - "dialogue": "And what's the it that's all over the place?" - }, - { - "start": "03:20.96", - "stop": "03:22.48", - "speaker": "Student", - "dialogue": "Um, the the line?" - }, - { - "start": "03:24.84", - "stop": "03:28.40", - "speaker": "Tutor", - "dialogue": "I'm going to type some words right here now one second." - }, - { - "start": "03:38.24", - "stop": "03:38.28", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "03:39.84", - "stop": "03:47.16", - "speaker": "Tutor", - "dialogue": "Increasing, decreasing, staying the same, we're going to call these our purple powerwords." - }, - { - "start": "03:49.80", - "stop": "03:49.84", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "03:50.08", - "stop": "03:55.12", - "speaker": "Tutor", - "dialogue": "Then distance and miles in time in units of hour." - }, - { - "start": "03:56.96", - "stop": "03:57.12", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "03:57.36", - "stop": "04:00.04", - "speaker": "Tutor", - "dialogue": "Our things that are changing in this situation." - }, - { - "start": "04:00.84", - "stop": "04:01.12", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "04:02.08", - "stop": "04:05.04", - "speaker": "Tutor", - "dialogue": "Can you describe what's happening from A to B?" - }, - { - "start": "04:06.12", - "stop": "04:07.12", - "speaker": "Student", - "dialogue": "Uses increasing." - }, - { - "start": "04:07.48", - "stop": "04:11.36", - "speaker": "Tutor", - "dialogue": "Using the all of using the purple power words, what's going on from A to B, Okay?" - }, - { - "start": "04:12.36", - "stop": "04:27.36", - "speaker": "Student", - "dialogue": "Um, as as the distance and the time, andc, the distance and the time are increasing at the same rate from point A to B." - }, - { - "start": "04:28.40", - "stop": "04:31.24", - "speaker": "Tutor", - "dialogue": "And you know it's the same rate, because it's a linear line." - }, - { - "start": "04:31.56", - "stop": "04:36.72", - "speaker": "Tutor", - "dialogue": "Yeah, okay, and from D to E, what's going on with those purple words?" - }, - { - "start": "04:37.12", - "stop": "04:38.20", - "speaker": "Student", - "dialogue": "It's non linear." - }, - { - "start": "04:40.24", - "stop": "04:41.92", - "speaker": "Tutor", - "dialogue": "So the line is not linear." - }, - { - "start": "04:42.36", - "stop": "04:44.44", - "speaker": "Tutor", - "dialogue": "Yes, put it on with show and time." - }, - { - "start": "04:44.60", - "stop": "04:45.12", - "speaker": "Tutor", - "dialogue": "It's still." - }, - { - "start": "04:45.60", - "stop": "04:49.16", - "speaker": "Student", - "dialogue": "Increasing the distance and the hours, but it's non linear." - }, - { - "start": "04:49.72", - "stop": "04:52.32", - "speaker": "Tutor", - "dialogue": "So if it's nonlinear, what does that mean is going on?" - }, - { - "start": "04:56.32", - "stop": "04:57.72", - "speaker": "Student", - "dialogue": "They're not moving at a constant." - }, - { - "start": "04:57.88", - "stop": "05:03.08", - "speaker": "Tutor", - "dialogue": "Rate, Yeah, So for distance from D to E, is it moving?" - }, - { - "start": "05:04.08", - "stop": "05:05.96", - "speaker": "Tutor", - "dialogue": "Is it increasing at a constant rate?" - }, - { - "start": "05:06.60", - "stop": "05:06.72", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "05:07.72", - "stop": "05:08.64", - "speaker": "Tutor", - "dialogue": "What's happening with it?" - }, - { - "start": "05:09.04", - "stop": "05:10.64", - "speaker": "Tutor", - "dialogue": "It's increasing and then." - }, - { - "start": "05:11.40", - "stop": "05:16.72", - "speaker": "Student", - "dialogue": "And then increasing, staying the same." - }, - { - "start": "05:17.56", - "stop": "05:19.24", - "speaker": "Tutor", - "dialogue": "Yeah, it increases." - }, - { - "start": "05:19.36", - "stop": "05:24.12", - "speaker": "Tutor", - "dialogue": "Yeah, then it stays the same, Then it increases slower and faster, and then it stays the same." - }, - { - "start": "05:25.40", - "stop": "05:30.80", - "speaker": "Tutor", - "dialogue": "And if it's doing that as time is also increasing, what's going on with the car?" - }, - { - "start": "05:35.28", - "stop": "05:36.40", - "speaker": "Student", - "dialogue": "The speed is changing." - }, - { - "start": "05:37.84", - "stop": "05:41.52", - "speaker": "Tutor", - "dialogue": "So, like you said with B to C, the speed is stopped." - }, - { - "start": "05:41.60", - "stop": "05:43.00", - "speaker": "Tutor", - "dialogue": "They must be in really bad traffic." - }, - { - "start": "05:43.84", - "stop": "05:48.32", - "speaker": "Tutor", - "dialogue": "Yeah, from D to E, they must be in like, stop and go traffic." - }, - { - "start": "05:48.72", - "stop": "05:49.32", - "speaker": "Student", - "dialogue": "Yeah, yeah." - }, - { - "start": "05:49.84", - "stop": "05:51.48", - "speaker": "Tutor", - "dialogue": "Okay, cool, so now?" - }, - { - "start": "05:53.00", - "stop": "05:53.28", - "speaker": "Student", - "dialogue": "Take." - }, - { - "start": "05:53.96", - "stop": "06:01.88", - "speaker": "Tutor", - "dialogue": "The map and the graph, and describe the relationship between the map and the graph, and you can write." - }, - { - "start": "06:02.12", - "stop": "06:02.88", - "speaker": "Tutor", - "dialogue": "You can label." - }, - { - "start": "06:03.40", - "stop": "06:07.80", - "speaker": "Tutor", - "dialogue": "You can do whatever you need to do to help me understand how you see the relationship you." - }, - { - "start": "06:08.04", - "stop": "06:08.76", - "speaker": "Tutor", - "dialogue": "You've talked about it" - }, - { - "start": "06:08.80", - "stop": "06:11.36", - "speaker": "Tutor", - "dialogue": "a little bit like D to E is New York City." - }, - { - "start": "06:11.96", - "stop": "06:13.60", - "speaker": "Tutor", - "dialogue": "Yeah, label that on the map." - }, - { - "start": "06:16.52", - "stop": "06:22.00", - "speaker": "Student", - "dialogue": "Uhhuh, so I'm just going to circle a lout and nam it d to e." - }, - { - "start": "06:22.92", - "stop": "06:25.00", - "speaker": "Tutor", - "dialogue": "Where would d be and where would E" - }, - { - "start": "06:25.12", - "stop": "06:25.16", - "speaker": "Tutor", - "dialogue": "be?" - }, - { - "start": "06:25.72", - "stop": "06:27.16", - "speaker": "Tutor", - "dialogue": "That's telling me like the seiment." - }, - { - "start": "06:27.28", - "stop": "06:28.40", - "speaker": "Tutor", - "dialogue": "Where would the point be? W?" - }, - { - "start": "06:28.84", - "stop": "06:34.00", - "speaker": "Student", - "dialogue": "Change the sout is so here would be thee." - }, - { - "start": "06:34.48", - "stop": "06:53.36", - "speaker": "Student", - "dialogue": "Then down here be E, and then work would be F and Av and C. I. I thought they'd just be like in random points from Providence to New York City, Le's." - }, - { - "start": "06:53.48", - "stop": "06:54.20", - "speaker": "Tutor", - "dialogue": "Just estimate." - }, - { - "start": "06:56.76", - "stop": "07:04.28", - "speaker": "Student", - "dialogue": "Oh, um, Oky, So W I jus?" - }, - { - "start": "07:05.88", - "stop": "07:07.04", - "speaker": "Tutor", - "dialogue": "Where does the journey start?" - }, - { - "start": "07:08.32", - "stop": "07:08.52", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "07:08.96", - "stop": "07:10.60", - "speaker": "Student", - "dialogue": "yeah, what's okay?" - }, - { - "start": "07:10.72", - "stop": "07:27.36", - "speaker": "Student", - "dialogue": "So here would be A. That's where it starts, and then I feel like B would be somewhere down here, and C would be closer and then D would be that." - }, - { - "start": "07:27.68", - "stop": "07:29.08", - "speaker": "Student", - "dialogue": "That looks about rights." - }, - { - "start": "07:29.08", - "stop": "07:37.40", - "speaker": "Tutor", - "dialogue": "About right, yeah, okay, now you're going to justify why you put B here using these purple power words." - }, - { - "start": "07:39.44", - "stop": "08:07.72", - "speaker": "Student", - "dialogue": "Okay, Um, because okay, um, B, from A to B. it's from A to B and C to D. They're increasing the distance and the time is increasing at the same rate, so I would assume that they're that they're the same" - }, - { - "start": "08:08.20", - "stop": "08:15.60", - "speaker": "Student", - "dialogue": "like length or like how, Um, the distance would be the same." - }, - { - "start": "08:17.84", - "stop": "08:23.20", - "speaker": "Tutor", - "dialogue": "From A to B, do you know how much the distance is increasing and how much the time is increasing?" - }, - { - "start": "08:24.24", - "stop": "08:33.92", - "speaker": "Student", - "dialogue": "Um, for every hour, Um, for every hour, the distance is increasing by fifty miles." - }, - { - "start": "08:35.08", - "stop": "08:41.20", - "speaker": "Tutor", - "dialogue": "Okay, so from A to B, the distance is increasing by fifty miles." - }, - { - "start": "08:41.88", - "stop": "08:43.04", - "speaker": "Student", - "dialogue": "Fifty miles an hour." - }, - { - "start": "08:43.88", - "stop": "08:46.80", - "speaker": "Tutor", - "dialogue": "And the time is increasing." - }, - { - "start": "08:50.28", - "stop": "08:50.32", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "08:50.92", - "stop": "08:52.16", - "speaker": "Tutor", - "dialogue": "How much did the time increase?" - }, - { - "start": "08:53.40", - "stop": "08:56.76", - "speaker": "Student", - "dialogue": "One hour and the augto increase by another fifty miles." - }, - { - "start": "08:57.84", - "stop": "09:00.12", - "speaker": "Tutor", - "dialogue": "That's from A to B. We're just going to look at A to B, right?" - }, - { - "start": "09:00.16", - "stop": "09:00.84", - "speaker": "Student", - "dialogue": "Now, oh, okay." - }, - { - "start": "09:01.28", - "stop": "09:02.04", - "speaker": "Tutor", - "dialogue": "Okay, So?" - }, - { - "start": "09:04.48", - "stop": "09:04.64", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "09:04.72", - "stop": "09:11.20", - "speaker": "Tutor", - "dialogue": "Trying to capture what I thought I heard you say, I typed it, read it and let me know if something needs to be changed." - }, - { - "start": "09:14.56", - "stop": "09:16.24", - "speaker": "Student", - "dialogue": "Yeah, but yeah." - }, - { - "start": "09:16.88", - "stop": "09:17.84", - "speaker": "Tutor", - "dialogue": "Oh, I see something." - }, - { - "start": "09:18.04", - "stop": "09:19.52", - "speaker": "Tutor", - "dialogue": "The time is increasing by one." - }, - { - "start": "09:19.92", - "stop": "09:19.96", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "09:20.40", - "stop": "09:21.12", - "speaker": "Tutor", - "dialogue": "What's the unit?" - }, - { - "start": "09:21.52", - "stop": "09:23.12", - "speaker": "Student", - "dialogue": "One one hour." - }, - { - "start": "09:24.60", - "stop": "09:30.08", - "speaker": "Tutor", - "dialogue": "And then you've talked about at the same rate, and you've also talked about speed." - }, - { - "start": "09:31.04", - "stop": "09:33.04", - "speaker": "Tutor", - "dialogue": "Are those the same thing, or are they different?" - }, - { - "start": "09:34.28", - "stop": "09:36.80", - "speaker": "Student", - "dialogue": "Um, they're the same thing." - }, - { - "start": "09:37.28", - "stop": "09:41.88", - "speaker": "Tutor", - "dialogue": "Okay, so let's add to this, then where would speed fit in this sentence?" - }, - { - "start": "09:42.16", - "stop": "09:46.20", - "speaker": "Tutor", - "dialogue": "and you can either type on it and edit it yourself or you can talk and I will edit." - }, - { - "start": "09:48.80", - "stop": "09:49.52", - "speaker": "Student", - "dialogue": "How do I wait?" - }, - { - "start": "09:50.12", - "stop": "09:52.16", - "speaker": "Tutor", - "dialogue": "Use your select tool, the top arrow." - }, - { - "start": "09:54.04", - "stop": "09:56.80", - "speaker": "Student", - "dialogue": "O, Oh, okay." - }, - { - "start": "09:58.00", - "stop": "09:59.84", - "speaker": "Tutor", - "dialogue": "Okay, then it becomes like a textbox" - }, - { - "start": "09:59.96", - "stop": "10:00.48", - "speaker": "Tutor", - "dialogue": "You can tell you." - }, - { - "start": "10:02.96", - "stop": "10:06.84", - "speaker": "Student", - "dialogue": "Le me jus, wait, how do we move this?" - }, - { - "start": "10:06.96", - "stop": "10:08.72", - "speaker": "Student", - "dialogue": "Because I want to get rid of the two dots." - }, - { - "start": "10:09.76", - "stop": "10:11.64", - "speaker": "Tutor", - "dialogue": "Yeah, I'll move it for you, alright?" - }, - { - "start": "10:11.80", - "stop": "10:12.04", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "10:12.32", - "stop": "10:16.16", - "speaker": "Tutor", - "dialogue": "And then you select the two dots to erase." - }, - { - "start": "10:16.24", - "stop": "10:16.84", - "speaker": "Tutor", - "dialogue": "I can get those." - }, - { - "start": "10:17.12", - "stop": "10:20.60", - "speaker": "Tutor", - "dialogue": "I can get rid of those for you, and then you can type on it." - }, - { - "start": "10:31.92", - "stop": "10:36.56", - "speaker": "Student", - "dialogue": "In my head I feel like that's right, but when I read it it doesn't like seem right." - }, - { - "start": "10:40.72", - "stop": "10:43.16", - "speaker": "Tutor", - "dialogue": "What is feeling kind of funky about it?" - }, - { - "start": "10:44.08", - "stop": "10:47.72", - "speaker": "Student", - "dialogue": "Jus the word speed like I replace it with." - }, - { - "start": "10:47.92", - "stop": "10:52.48", - "speaker": "Student", - "dialogue": "I replace the word right with speed, but now." - }, - { - "start": "10:52.88", - "stop": "10:54.80", - "speaker": "Tutor", - "dialogue": "Click off of it so I can see your edits." - }, - { - "start": "10:55.64", - "stop": "10:55.80", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "10:55.92", - "stop": "10:57.08", - "speaker": "Tutor", - "dialogue": "Kind of like, Yeah, there you go." - }, - { - "start": "10:57.24", - "stop": "10:58.64", - "speaker": "Tutor", - "dialogue": "I can't see it until you click off." - }, - { - "start": "10:59.32", - "stop": "10:59.68", - "speaker": "Tutor", - "dialogue": "Perfect." - }, - { - "start": "10:59.84", - "stop": "11:04.52", - "speaker": "Tutor", - "dialogue": "Okay, So from e to B, the distance is increasing by fifty and the time." - }, - { - "start": "11:04.60", - "stop": "11:05.28", - "speaker": "Tutor", - "dialogue": "Oh, we got two" - }, - { - "start": "11:05.40", - "stop": "11:05.56", - "speaker": "Tutor", - "dialogue": "Nds" - }, - { - "start": "11:05.60", - "stop": "11:05.88", - "speaker": "Tutor", - "dialogue": "in there." - }, - { - "start": "11:06.64", - "stop": "11:13.36", - "speaker": "Tutor", - "dialogue": "That was me and the time is increasing by one hour at the same speed." - }, - { - "start": "11:14.32", - "stop": "11:18.92", - "speaker": "Tutor", - "dialogue": "Hm, and we talked about rate and speed and you said they were the same thing." - }, - { - "start": "11:19.76", - "stop": "11:19.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "11:21.20", - "stop": "11:23.24", - "speaker": "Tutor", - "dialogue": "Do you know the speed of the car from A to B?" - }, - { - "start": "11:24.80", - "stop": "11:26.80", - "speaker": "Student", - "dialogue": "It's moving at fifteen miles an hour." - }, - { - "start": "11:27.16", - "stop": "11:32.32", - "speaker": "Tutor", - "dialogue": "Okay, so can you include that in your sentence and maybe that would help it fill less bunky to you?" - }, - { - "start": "11:45.60", - "stop": "11:45.64", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "11:46.00", - "stop": "11:50.92", - "speaker": "Tutor", - "dialogue": "From A to B, the distance is increasing by fifty miles, and the time is increasing by one hour." - }, - { - "start": "11:51.88", - "stop": "11:55.72", - "speaker": "Tutor", - "dialogue": "Is this B increasing, decreasing, or staying the same?" - }, - { - "start": "11:57.04", - "stop": "11:57.64", - "speaker": "Student", - "dialogue": "Increasing." - }, - { - "start": "11:58.68", - "stop": "12:06.44", - "speaker": "Tutor", - "dialogue": "From A to B, the speed goes from something less to fifty miles an hour to fifty miles an hour, or is it traveling fifty miles an hour?" - }, - { - "start": "12:06.52", - "stop": "12:07.96", - "speaker": "Tutor", - "dialogue": "that entire section of the trip?" - }, - { - "start": "12:10.48", - "stop": "12:13.04", - "speaker": "Student", - "dialogue": "Fifty fifty miles an hour the entire trip." - }, - { - "start": "12:13.84", - "stop": "12:18.48", - "speaker": "Tutor", - "dialogue": "So does the speed increase decrease, or stay the same from A to be?" - }, - { - "start": "12:20.00", - "stop": "12:21.16", - "speaker": "Student", - "dialogue": "Oh, it's Shis, Sam." - }, - { - "start": "12:22.00", - "stop": "12:23.32", - "speaker": "Tutor", - "dialogue": "So that's where that same rate." - }, - { - "start": "12:23.60", - "stop": "12:24.48", - "speaker": "Student", - "dialogue": "It's the same." - }, - { - "start": "12:25.40", - "stop": "12:28.52", - "speaker": "Tutor", - "dialogue": "Yeah, so that's where that idea that you were thinking of of the same rate." - }, - { - "start": "12:31.16", - "stop": "12:31.44", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "12:32.20", - "stop": "12:37.36", - "speaker": "Tutor", - "dialogue": "So it's increasing by one hour at and the speed." - }, - { - "start": "12:42.36", - "stop": "12:42.40", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "12:42.56", - "stop": "12:44.60", - "speaker": "Tutor", - "dialogue": "Stays the same, increases or decreases?" - }, - { - "start": "12:46.68", - "stop": "12:50.84", - "speaker": "Student", - "dialogue": "The speed increases, but the rate stays the same." - }, - { - "start": "12:51.64", - "stop": "12:52.12", - "speaker": "Tutor", - "dialogue": "I don't know." - }, - { - "start": "12:52.72", - "stop": "12:54.12", - "speaker": "Tutor", - "dialogue": "You sound like you're unsure." - }, - { - "start": "12:55.16", - "stop": "12:56.08", - "speaker": "Student", - "dialogue": "I am unsure." - }, - { - "start": "12:56.80", - "stop": "12:57.48", - "speaker": "Tutor", - "dialogue": "So I'm going to." - }, - { - "start": "12:59.16", - "stop": "12:59.20", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "12:59.44", - "stop": "13:01.68", - "speaker": "Tutor", - "dialogue": "This in your text Ca." - }, - { - "start": "13:01.88", - "stop": "13:02.40", - "speaker": "Tutor", - "dialogue": "Click off." - }, - { - "start": "13:05.44", - "stop": "13:05.48", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "13:05.64", - "stop": "13:10.24", - "speaker": "Tutor", - "dialogue": "This is kind of like when we're writing a paper right, there's some rough draft thinking." - }, - { - "start": "13:11.96", - "stop": "13:12.00", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "13:12.12", - "stop": "13:15.88", - "speaker": "Tutor", - "dialogue": "Then you can come back and edit and revise after you've had some more time to." - }, - { - "start": "13:16.00", - "stop": "13:17.16", - "speaker": "Student", - "dialogue": "Think, hm." - }, - { - "start": "13:26.96", - "stop": "13:28.84", - "speaker": "Student", - "dialogue": "I'm very unsure, okay?" - }, - { - "start": "13:29.20", - "stop": "13:31.76", - "speaker": "Tutor", - "dialogue": "Then we'll come back to speed in a bit all." - }, - { - "start": "13:31.88", - "stop": "13:32.04", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "13:32.52", - "stop": "13:36.76", - "speaker": "Tutor", - "dialogue": "But you are you convinced on the distance and the time, or are you unsure of those two?" - }, - { - "start": "13:37.36", - "stop": "13:38.56", - "speaker": "Student", - "dialogue": "I'm I'm sure." - }, - { - "start": "13:40.16", - "stop": "13:42.36", - "speaker": "Tutor", - "dialogue": "If the distance or the time is increasing as well?" - }, - { - "start": "13:45.36", - "stop": "13:46.40", - "speaker": "Student", - "dialogue": "They're both increasing." - }, - { - "start": "13:46.52", - "stop": "13:46.56", - "speaker": "Student", - "dialogue": "yeah." - }, - { - "start": "13:47.28", - "stop": "13:49.36", - "speaker": "Tutor", - "dialogue": "Okay, so you're good on the distance?" - }, - { - "start": "13:49.56", - "stop": "13:50.68", - "speaker": "Tutor", - "dialogue": "you're good on the time." - }, - { - "start": "13:51.20", - "stop": "13:54.40", - "speaker": "Tutor", - "dialogue": "Your combats are both increasing, and you're confident by the amount." - }, - { - "start": "13:55.36", - "stop": "13:55.52", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "13:55.84", - "stop": "13:58.84", - "speaker": "Tutor", - "dialogue": "But you're not sure what's going on with speed." - }, - { - "start": "13:59.52", - "stop": "14:00.24", - "speaker": "Student", - "dialogue": "Mhm, Okay." - }, - { - "start": "14:00.48", - "stop": "14:03.16", - "speaker": "Tutor", - "dialogue": "Talk me through what you know about speed from this section." - }, - { - "start": "14:05.36", - "stop": "14:07.44", - "speaker": "Student", - "dialogue": "Um, from Aa." - }, - { - "start": "14:07.56", - "stop": "14:14.44", - "speaker": "Student", - "dialogue": "B. it's it's. It's constant, so it'd be staying the same." - }, - { - "start": "14:16.68", - "stop": "14:19.68", - "speaker": "Tutor", - "dialogue": "Okay, are you confident on that or are you still on?" - }, - { - "start": "14:19.96", - "stop": "14:20.40", - "speaker": "Tutor", - "dialogue": "Yes, Yes." - }, - { - "start": "14:20.44", - "stop": "14:21.40", - "speaker": "Student", - "dialogue": "I, I'm confident." - }, - { - "start": "14:21.60", - "stop": "14:23.36", - "speaker": "Tutor", - "dialogue": "Okay, go up and revise your S. S." - }, - { - "start": "14:23.40", - "stop": "14:41.84", - "speaker": "Student", - "dialogue": "Then Yup I, P. theround." - }, - { - "start": "14:55.56", - "stop": "14:57.20", - "speaker": "Tutor", - "dialogue": "You want to revise any more or are you good?" - }, - { - "start": "14:57.80", - "stop": "14:58.32", - "speaker": "Student", - "dialogue": "I'm good." - }, - { - "start": "14:58.68", - "stop": "14:58.96", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "14:59.56", - "stop": "15:01.44", - "speaker": "Tutor", - "dialogue": "Okay, so there's a lot going on there, isn't there?" - }, - { - "start": "15:02.24", - "stop": "15:02.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "15:02.68", - "stop": "15:04.84", - "speaker": "Tutor", - "dialogue": "There's distance that's changing someway." - }, - { - "start": "15:05.64", - "stop": "15:15.28", - "speaker": "Tutor", - "dialogue": "There's time that's changing someway and then the relationship between them is described by this rate that has a special name of speed." - }, - { - "start": "15:15.96", - "stop": "15:16.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "15:17.28", - "stop": "15:19.64", - "speaker": "Tutor", - "dialogue": "Do you see speed on the graph?" - }, - { - "start": "15:20.68", - "stop": "15:20.84", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "15:23.64", - "stop": "15:23.88", - "speaker": "Tutor", - "dialogue": "Well." - }, - { - "start": "15:24.72", - "stop": "15:26.80", - "speaker": "Student", - "dialogue": "It's well, Yeah, it's the." - }, - { - "start": "15:27.20", - "stop": "15:28.08", - "speaker": "Student", - "dialogue": "It's the line." - }, - { - "start": "15:28.72", - "stop": "15:29.44", - "speaker": "Student", - "dialogue": "What's jus?" - }, - { - "start": "15:30.36", - "stop": "15:30.40", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "15:30.92", - "stop": "15:31.44", - "speaker": "Tutor", - "dialogue": "what line?" - }, - { - "start": "15:32.64", - "stop": "15:37.68", - "speaker": "Student", - "dialogue": "Um, like the line from A d, B to C, Cta, d, D, E and Ea." - }, - { - "start": "15:37.76", - "stop": "15:40.08", - "speaker": "Tutor", - "dialogue": "F, So this blue line is this S?" - }, - { - "start": "15:42.04", - "stop": "15:42.08", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "15:43.28", - "stop": "15:48.60", - "speaker": "Tutor", - "dialogue": "So would we say the speed is constant and then stopped and then the speed is constant." - }, - { - "start": "15:48.88", - "stop": "15:50.24", - "speaker": "Tutor", - "dialogue": "Is that what you were describing earlier?" - }, - { - "start": "15:50.96", - "stop": "15:51.20", - "speaker": "Tutor", - "dialogue": "cool?" - }, - { - "start": "15:51.24", - "stop": "15:52.04", - "speaker": "Tutor", - "dialogue": "Yeah, it is the speed." - }, - { - "start": "15:52.32", - "stop": "15:53.00", - "speaker": "Tutor", - "dialogue": "That is the rate." - }, - { - "start": "15:53.44", - "stop": "15:55.56", - "speaker": "Tutor", - "dialogue": "We also talk about that in terms of slope." - }, - { - "start": "15:55.68", - "stop": "16:05.64", - "speaker": "Tutor", - "dialogue": "Sometimes, so the slope is describing that relationship between miles and hours, which happens to be speed in this situation." - }, - { - "start": "16:07.56", - "stop": "16:07.60", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "16:07.76", - "stop": "16:09.92", - "speaker": "Tutor", - "dialogue": "About B to C. Same thing." - }, - { - "start": "16:10.44", - "stop": "16:11.88", - "speaker": "Tutor", - "dialogue": "Use these purple power words." - }, - { - "start": "16:12.36", - "stop": "16:13.08", - "speaker": "Tutor", - "dialogue": "What's going on?" - }, - { - "start": "16:13.64", - "stop": "16:16.24", - "speaker": "Tutor", - "dialogue": "And how did that help you know where to put C?" - }, - { - "start": "16:19.24", - "stop": "16:27.44", - "speaker": "Student", - "dialogue": "So the distance is staying the same, but the time is increasing by half an hour." - }, - { - "start": "16:29.40", - "stop": "16:40.00", - "speaker": "Tutor", - "dialogue": "Okay, so from B to c, the distance is staying the same, but the time is increasing by half an hour." - }, - { - "start": "16:45.44", - "stop": "16:45.48", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "16:45.60", - "stop": "16:52.52", - "speaker": "Tutor", - "dialogue": "That what your map shows as well, the distance is staying the same and the time go by a half hour." - }, - { - "start": "16:54.36", - "stop": "16:54.84", - "speaker": "Student", - "dialogue": "You're right." - }, - { - "start": "16:55.40", - "stop": "16:55.60", - "speaker": "Student", - "dialogue": "Thats." - }, - { - "start": "16:55.72", - "stop": "16:58.56", - "speaker": "Student", - "dialogue": "that's not what my letter the're showing." - }, - { - "start": "16:58.72", - "stop": "16:59.72", - "speaker": "Tutor", - "dialogue": "What do you mean I'm right?" - }, - { - "start": "16:59.80", - "stop": "17:02.04", - "speaker": "Tutor", - "dialogue": "I was just asking you if that's what it showed." - }, - { - "start": "17:03.48", - "stop": "17:04.60", - "speaker": "Student", - "dialogue": "No, it's not what it sw." - }, - { - "start": "17:05.12", - "stop": "17:06.72", - "speaker": "Tutor", - "dialogue": "So you mean you want to revise something?" - }, - { - "start": "17:06.92", - "stop": "17:08.20", - "speaker": "Tutor", - "dialogue": "Yeah, Okay, revise it." - }, - { - "start": "17:10.56", - "stop": "17:18.84", - "speaker": "Student", - "dialogue": "Uh, delete that, so this point would be B and." - }, - { - "start": "17:19.64", - "stop": "17:19.68", - "speaker": "Tutor", - "dialogue": "C." - }, - { - "start": "17:24.08", - "stop": "17:24.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "17:25.68", - "stop": "17:27.04", - "speaker": "Tutor", - "dialogue": "You confident witho that revision?" - }, - { - "start": "17:27.60", - "stop": "17:27.76", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "17:28.16", - "stop": "17:30.04", - "speaker": "Tutor", - "dialogue": "Okay, they're at the same point, because." - }, - { - "start": "17:31.32", - "stop": "17:33.84", - "speaker": "Student", - "dialogue": "Because they're not moving, they're not moving." - }, - { - "start": "17:34.28", - "stop": "17:39.08", - "speaker": "Tutor", - "dialogue": "The Ti, they're sitting, stuck in traffic, which, Yeah, probably a very real situation, right?" - }, - { - "start": "17:40.40", - "stop": "17:40.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "17:40.80", - "stop": "17:45.68", - "speaker": "Tutor", - "dialogue": "Okay, so now the textbox down here where we were describing the relationship of all" - }, - { - "start": "17:45.84", - "stop": "17:48.52", - "speaker": "Tutor", - "dialogue": "these variables from B to C. Mhm" - }, - { - "start": "17:48.72", - "stop": "17:50.12", - "speaker": "Tutor", - "dialogue": "speed isn't included yet." - }, - { - "start": "17:50.60", - "stop": "17:53.88", - "speaker": "Tutor", - "dialogue": "How would you revise it to include speed in that description?" - }, - { - "start": "17:55.08", - "stop": "18:02.64", - "speaker": "Student", - "dialogue": "And the speed is zero miles an hour, zero, zero miles an hour." - }, - { - "start": "18:06.04", - "stop": "18:10.12", - "speaker": "Tutor", - "dialogue": "And the speed is zero miles per hour." - }, - { - "start": "18:10.24", - "stop": "18:10.84", - "speaker": "Tutor", - "dialogue": "For how long?" - }, - { - "start": "18:11.16", - "stop": "18:11.48", - "speaker": "Tutor", - "dialogue": "How long?" - }, - { - "start": "18:11.52", - "stop": "18:12.68", - "speaker": "Student", - "dialogue": "Do you pre half an hour?" - }, - { - "start": "18:16.84", - "stop": "18:20.12", - "speaker": "Tutor", - "dialogue": "All right, you've done some exploring of how these things are related." - }, - { - "start": "18:20.68", - "stop": "18:24.48", - "speaker": "Tutor", - "dialogue": "And now, Oh, one more question, and then I'm going to uncover the other thing." - }, - { - "start": "18:24.96", - "stop": "18:26.12", - "speaker": "Tutor", - "dialogue": "A. How come?" - }, - { - "start": "18:28.64", - "stop": "18:28.68", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "18:30.80", - "stop": "18:37.68", - "speaker": "Tutor", - "dialogue": "Graph is a straight line from a tob, but it is a curvey line from A to B on the map." - }, - { - "start": "18:39.80", - "stop": "18:56.76", - "speaker": "Student", - "dialogue": "Um, becausem the the distance is still the same." - }, - { - "start": "18:59.40", - "stop": "19:10.72", - "speaker": "Student", - "dialogue": "Um, The distance for both is fifty miles an hour." - }, - { - "start": "19:10.88", - "stop": "19:13.72", - "speaker": "Student", - "dialogue": "You could like make it a luky, but still from Aight." - }, - { - "start": "19:13.80", - "stop": "19:15.60", - "speaker": "Student", - "dialogue": "to be, it'd still be fifty" - }, - { - "start": "19:15.68", - "stop": "19:16.36", - "speaker": "Student", - "dialogue": "miles an hour." - }, - { - "start": "19:18.08", - "stop": "19:18.52", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "19:18.84", - "stop": "19:18.88", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "19:19.08", - "stop": "19:21.60", - "speaker": "Tutor", - "dialogue": "So they both show a distance of fifty miles an hour." - }, - { - "start": "19:22.04", - "stop": "19:24.12", - "speaker": "Tutor", - "dialogue": "Yes, sorry, not fifty miles an hour they both show." - }, - { - "start": "19:24.76", - "stop": "19:25.48", - "speaker": "Student", - "dialogue": "Fifty miles, yeah." - }, - { - "start": "19:25.84", - "stop": "19:29.64", - "speaker": "Tutor", - "dialogue": "Of fifty miles, why is this line straight?" - }, - { - "start": "19:29.72", - "stop": "19:29.88", - "speaker": "Tutor", - "dialogue": "Then?" - }, - { - "start": "19:30.80", - "stop": "19:32.76", - "speaker": "Tutor", - "dialogue": "what else is this line keeping track of?" - }, - { - "start": "19:33.48", - "stop": "19:35.36", - "speaker": "Student", - "dialogue": "Because there's time included in it." - }, - { - "start": "19:35.92", - "stop": "19:38.44", - "speaker": "Tutor", - "dialogue": "Yeah, so it's shown us the relationship there?" - }, - { - "start": "19:39.00", - "stop": "19:42.36", - "speaker": "Tutor", - "dialogue": "Y not just the path that the car travel." - }, - { - "start": "19:43.40", - "stop": "19:43.72", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "19:44.04", - "stop": "19:45.56", - "speaker": "Tutor", - "dialogue": "Now it's your turn to create a graph." - }, - { - "start": "19:47.00", - "stop": "19:48.32", - "speaker": "Student", - "dialogue": "Gone all righta." - }, - { - "start": "19:49.36", - "stop": "19:53.04", - "speaker": "Tutor", - "dialogue": "We'll try that again, and you're going to say yea, because I'm a powerful maththinker." - }, - { - "start": "19:53.16", - "stop": "19:54.24", - "speaker": "Tutor", - "dialogue": "I get to create a graph." - }, - { - "start": "19:54.36", - "stop": "19:56.56", - "speaker": "Tutor", - "dialogue": "Are you ready you get to create a graph this time?" - }, - { - "start": "19:57.12", - "stop": "19:58.88", - "speaker": "Student", - "dialogue": "Yea, I love making graphs." - }, - { - "start": "19:58.96", - "stop": "19:59.88", - "speaker": "Student", - "dialogue": "They're my favorite." - }, - { - "start": "20:00.40", - "stop": "20:02.76", - "speaker": "Tutor", - "dialogue": "Because I'm a powerful maththinker." - }, - { - "start": "20:03.32", - "stop": "20:05.36", - "speaker": "Student", - "dialogue": "Because I'm a powerful maththinker." - }, - { - "start": "20:05.52", - "stop": "20:07.12", - "speaker": "Tutor", - "dialogue": "Hom, drop the mic, Ok?" - }, - { - "start": "20:12.92", - "stop": "20:13.24", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "20:14.28", - "stop": "20:16.68", - "speaker": "Tutor", - "dialogue": "What is this graph going to be keeping track of?" - }, - { - "start": "20:19.36", - "stop": "20:32.80", - "speaker": "Student", - "dialogue": "Um, isn't that Um, okay, Um, it's how fast you're going per per hour." - }, - { - "start": "20:33.68", - "stop": "20:36.92", - "speaker": "Tutor", - "dialogue": "Yeah, how, it's the relationship between the speed." - }, - { - "start": "20:37.00", - "stop": "20:37.52", - "speaker": "Student", - "dialogue": "Tin line." - }, - { - "start": "20:37.76", - "stop": "20:41.92", - "speaker": "Tutor", - "dialogue": "And ho, which is how fast the car is going for a certain period of time?" - }, - { - "start": "20:42.68", - "stop": "20:42.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "20:44.16", - "stop": "20:46.16", - "speaker": "Tutor", - "dialogue": "Okay, you get to sketch a graph." - }, - { - "start": "20:47.88", - "stop": "20:47.92", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "20:47.96", - "stop": "20:51.60", - "speaker": "Tutor", - "dialogue": "You think would show the relationship between how those two things are changing." - }, - { - "start": "20:53.00", - "stop": "21:01.76", - "speaker": "Student", - "dialogue": "Um, so that'd be a straight line?" - }, - { - "start": "21:01.92", - "stop": "21:02.36", - "speaker": "Student", - "dialogue": "That'd be." - }, - { - "start": "21:02.56", - "stop": "21:03.48", - "speaker": "Student", - "dialogue": "it, wouldn't it?" - }, - { - "start": "21:05.44", - "stop": "21:10.92", - "speaker": "Student", - "dialogue": "So here would be like one, one hour, then" - }, - { - "start": "21:13.08", - "stop": "21:13.60", - "speaker": "Student", - "dialogue": "Ho, many hour." - }, - { - "start": "21:13.72", - "stop": "21:15.12", - "speaker": "Student", - "dialogue": "Okay, it's going for four hours." - }, - { - "start": "21:15.52", - "stop": "21:16.64", - "speaker": "Student", - "dialogue": "waits." - }, - { - "start": "21:19.00", - "stop": "21:19.40", - "speaker": "Tutor", - "dialogue": "Excellent." - }, - { - "start": "21:19.52", - "stop": "21:19.68", - "speaker": "Student", - "dialogue": "Job." - }, - { - "start": "21:19.76", - "stop": "21:22.00", - "speaker": "Tutor", - "dialogue": "Of thinking out through your process, keep doing that." - }, - { - "start": "21:23.68", - "stop": "21:33.56", - "speaker": "Student", - "dialogue": "Here would be two, one, three, four speed." - }, - { - "start": "21:35.36", - "stop": "21:44.08", - "speaker": "Student", - "dialogue": "Okay, Well, the speed would be constant for the first hourrief." - }, - { - "start": "21:45.80", - "stop": "22:18.88", - "speaker": "Student", - "dialogue": "that, Oh, no, wait, that's not right, So the steed would be um, um, fifteen miles an hour." - }, - { - "start": "22:29.04", - "stop": "22:29.24", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "22:29.40", - "stop": "22:29.80", - "speaker": "Student", - "dialogue": "Stumped." - }, - { - "start": "22:30.52", - "stop": "22:36.20", - "speaker": "Tutor", - "dialogue": "Ah, this is so cool, because what your brain is doing right now is literally trying to make sense and connections of this." - }, - { - "start": "22:36.84", - "stop": "22:42.60", - "speaker": "Tutor", - "dialogue": "You're literally right in the middle of the process of learning right now, and it feels a little bit uncomfortable." - }, - { - "start": "22:43.08", - "stop": "22:47.52", - "speaker": "Tutor", - "dialogue": "And when you feel uncomfortable, that means lean into it." - }, - { - "start": "22:47.96", - "stop": "22:48.88", - "speaker": "Tutor", - "dialogue": "That's when you're learning." - }, - { - "start": "22:49.20", - "stop": "22:53.84", - "speaker": "Tutor", - "dialogue": "it isn't all about having the right answer as fast as you can stick with this." - }, - { - "start": "22:54.36", - "stop": "22:55.36", - "speaker": "Tutor", - "dialogue": "The messiness of it." - }, - { - "start": "22:55.60", - "stop": "22:57.88", - "speaker": "Tutor", - "dialogue": "Okay, Your thanking is powerful." - }, - { - "start": "22:57.96", - "stop": "22:58.44", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "22:58.68", - "stop": "22:59.60", - "speaker": "Tutor", - "dialogue": "Put the fifty back." - }, - { - "start": "23:00.00", - "stop": "23:00.72", - "speaker": "Tutor", - "dialogue": "You're on track." - }, - { - "start": "23:02.36", - "stop": "23:02.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "23:03.04", - "stop": "23:03.08", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "23:03.16", - "stop": "23:06.92", - "speaker": "Student", - "dialogue": "Was if the time and the speed were switched, I would know how to do it A." - }, - { - "start": "23:08.00", - "stop": "23:11.40", - "speaker": "Tutor", - "dialogue": "And they are switched like this on purpose, cause I want you to go." - }, - { - "start": "23:11.68", - "stop": "23:14.20", - "speaker": "Tutor", - "dialogue": "Huh, What to really make sense of this?" - }, - { - "start": "23:14.96", - "stop": "23:21.88", - "speaker": "Tutor", - "dialogue": "Ok, so go back to read what's going on from A to B in terms of speed." - }, - { - "start": "23:22.64", - "stop": "23:24.44", - "speaker": "Student", - "dialogue": "Mustpiu staing the same so." - }, - { - "start": "23:25.08", - "stop": "23:27.84", - "speaker": "Tutor", - "dialogue": "How fast is the speed for that entire hour?" - }, - { - "start": "23:29.04", - "stop": "23:29.88", - "speaker": "Student", - "dialogue": "Fifty miles." - }, - { - "start": "23:30.20", - "stop": "23:35.36", - "speaker": "Tutor", - "dialogue": "So how could you show a graph and it may not look like a graph you've ever seen before, And that's Ok." - }, - { - "start": "23:36.04", - "stop": "23:42.48", - "speaker": "Tutor", - "dialogue": "How could you show a graph that shows that relationship of travelling fifty miles per hour for an hour?" - }, - { - "start": "23:44.92", - "stop": "23:44.96", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "23:45.28", - "stop": "23:45.88", - "speaker": "Tutor", - "dialogue": "If no." - }, - { - "start": "23:50.24", - "stop": "23:50.40", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "23:50.52", - "stop": "23:51.20", - "speaker": "Tutor", - "dialogue": "Isn't it right?" - }, - { - "start": "23:54.60", - "stop": "24:01.88", - "speaker": "Student", - "dialogue": "Because, um, oh wait, no wait." - }, - { - "start": "24:02.00", - "stop": "24:02.44", - "speaker": "Student", - "dialogue": "I'm going to." - }, - { - "start": "24:02.76", - "stop": "24:08.64", - "speaker": "Student", - "dialogue": "I'm cutting at zero therest to starting f. zero miles." - }, - { - "start": "24:15.96", - "stop": "24:17.88", - "speaker": "Student", - "dialogue": "Oh, I figured it out so that'd be." - }, - { - "start": "24:18.84", - "stop": "24:22.84", - "speaker": "Student", - "dialogue": "Um, that thato'ld be the point" - }, - { - "start": "24:22.92", - "stop": "24:25.64", - "speaker": "Student", - "dialogue": "A would b, and then our two." - }, - { - "start": "24:25.92", - "stop": "24:27.00", - "speaker": "Student", - "dialogue": "it'd be like here." - }, - { - "start": "24:27.32", - "stop": "24:27.52", - "speaker": "Tutor", - "dialogue": "Hang" - }, - { - "start": "24:27.60", - "stop": "24:27.64", - "speaker": "Tutor", - "dialogue": "on." - }, - { - "start": "24:27.80", - "stop": "24:28.48", - "speaker": "Tutor", - "dialogue": "Where is point A?" - }, - { - "start": "24:28.68", - "stop": "24:29.64", - "speaker": "Tutor", - "dialogue": "Where do you see Point A?" - }, - { - "start": "24:30.80", - "stop": "24:33.68", - "speaker": "Student", - "dialogue": "Point A is right here and then point is at the fifty." - }, - { - "start": "24:34.28", - "stop": "24:38.60", - "speaker": "Tutor", - "dialogue": "Okay, so if we go back over here to this graft, you told me the car is travelling" - }, - { - "start": "24:38.80", - "stop": "24:39.76", - "speaker": "Tutor", - "dialogue": "fifty miles an hour" - }, - { - "start": "24:40.00", - "stop": "24:40.80", - "speaker": "Tutor", - "dialogue": "this entire trip." - }, - { - "start": "24:41.24", - "stop": "24:44.60", - "speaker": "Tutor", - "dialogue": "Yes, Yes, Okay, so that means ten minutes into the trip." - }, - { - "start": "24:45.28", - "stop": "24:46.56", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "24:47.00", - "stop": "24:47.96", - "speaker": "Student", - "dialogue": "Fifty milesur." - }, - { - "start": "24:48.24", - "stop": "24:49.28", - "speaker": "Tutor", - "dialogue": "Thirty minutes into the trip." - }, - { - "start": "24:49.52", - "stop": "24:49.60", - "speaker": "Tutor", - "dialogue": "how?" - }, - { - "start": "24:49.68", - "stop": "24:50.92", - "speaker": "Student", - "dialogue": "F. fifty miles an hour." - }, - { - "start": "24:51.24", - "stop": "24:52.68", - "speaker": "Tutor", - "dialogue": "Ok, so let's go to your graph." - }, - { - "start": "24:55.48", - "stop": "25:00.56", - "speaker": "Student", - "dialogue": "Oh, I wait now." - }, - { - "start": "25:02.36", - "stop": "25:05.12", - "speaker": "Tutor", - "dialogue": "How can you show at the beginning of the trip?" - }, - { - "start": "25:05.68", - "stop": "25:14.08", - "speaker": "Tutor", - "dialogue": "the car's going fifty miles an hour, Thirty minutes into the trip, still fifty miles an hour, One hour into the trip, still fifty miles an hour." - }, - { - "start": "25:19.44", - "stop": "25:21.76", - "speaker": "Student", - "dialogue": "It can't, It can't be that." - }, - { - "start": "25:22.60", - "stop": "25:23.72", - "speaker": "Tutor", - "dialogue": "Why can't it be that one?" - }, - { - "start": "25:24.84", - "stop": "25:32.60", - "speaker": "Student", - "dialogue": "Because, um, because, let's say at this point you're not traveling at fifteen miles an hourre." - }, - { - "start": "25:32.60", - "stop": "25:33.00", - "speaker": "Student", - "dialogue": "travelling at." - }, - { - "start": "25:33.08", - "stop": "25:36.08", - "speaker": "Student", - "dialogue": "You're traveling at like ten when you're like ten minutes into the journey." - }, - { - "start": "25:36.24", - "stop": "25:38.28", - "speaker": "Tutor", - "dialogue": "Yeah, powerful thinking, powerful reasoning." - }, - { - "start": "25:38.48", - "stop": "25:39.16", - "speaker": "Tutor", - "dialogue": "it can't be that." - }, - { - "start": "25:39.96", - "stop": "25:40.84", - "speaker": "Tutor", - "dialogue": "So what can it be?" - }, - { - "start": "25:49.68", - "stop": "26:01.28", - "speaker": "Student", - "dialogue": "Um, uhh, it." - }, - { - "start": "26:04.76", - "stop": "26:05.84", - "speaker": "Student", - "dialogue": "this is complicated." - }, - { - "start": "26:06.88", - "stop": "26:16.04", - "speaker": "Tutor", - "dialogue": "Take it one point at a time, so at the beginning of the trip, where would the point be to show fifty miles an hour at the very beginning of the trip?" - }, - { - "start": "26:17.52", - "stop": "26:22.40", - "speaker": "Student", - "dialogue": "So the time would be zero yet, then the speed would be fifty miles an hour." - }, - { - "start": "26:22.92", - "stop": "26:23.28", - "speaker": "Tutor", - "dialogue": "Be so." - }, - { - "start": "26:23.36", - "stop": "26:24.24", - "speaker": "Tutor", - "dialogue": "where would that point be?" - }, - { - "start": "26:25.64", - "stop": "26:26.96", - "speaker": "Student", - "dialogue": "Wait, wrong, fronpt." - }, - { - "start": "26:27.20", - "stop": "26:29.40", - "speaker": "Student", - "dialogue": "Ito'd be like right herethirty." - }, - { - "start": "26:29.48", - "stop": "26:31.96", - "speaker": "Tutor", - "dialogue": "Minutes in the trip, you're going fifty miles an hour." - }, - { - "start": "26:32.60", - "stop": "26:36.24", - "speaker": "Student", - "dialogue": "Here, Oh, so, it would just be a straight line." - }, - { - "start": "26:37.16", - "stop": "26:40.92", - "speaker": "Tutor", - "dialogue": "Where would point a be, and where would point boint?" - }, - { - "start": "26:41.36", - "stop": "26:44.44", - "speaker": "Student", - "dialogue": "A, thenint, B would be right here." - }, - { - "start": "26:46.12", - "stop": "26:47.88", - "speaker": "Tutor", - "dialogue": "Are you convinced or do you want to revise?" - }, - { - "start": "26:50.76", - "stop": "26:56.00", - "speaker": "Student", - "dialogue": "M. I know what's right, but my brain is still a bit confused." - }, - { - "start": "26:57.24", - "stop": "26:57.48", - "speaker": "Tutor", - "dialogue": "You're" - }, - { - "start": "26:57.56", - "stop": "26:58.64", - "speaker": "Student", - "dialogue": "Won how it's right." - }, - { - "start": "26:58.80", - "stop": "27:05.56", - "speaker": "Tutor", - "dialogue": "Yeah, your brain is like Whoa, Never seen this before, so lean into it brain." - }, - { - "start": "27:05.80", - "stop": "27:06.00", - "speaker": "Tutor", - "dialogue": "Yup." - }, - { - "start": "27:06.12", - "stop": "27:07.52", - "speaker": "Tutor", - "dialogue": "that means we're growing a new pathway" - }, - { - "start": "27:07.52", - "stop": "27:13.60", - "speaker": "Tutor", - "dialogue": "And it's O. K. I'm convinced that this makes sense for this situation because I just proved it to myself." - }, - { - "start": "27:14.40", - "stop": "27:14.68", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "27:14.92", - "stop": "27:17.00", - "speaker": "Tutor", - "dialogue": "Ken, so now, how are you going to show B to C?" - }, - { - "start": "27:18.56", - "stop": "27:18.80", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "27:18.92", - "stop": "27:20.88", - "speaker": "Tutor", - "dialogue": "The speed for how long?" - }, - { - "start": "27:21.48", - "stop": "27:28.32", - "speaker": "Student", - "dialogue": "The speed let me just draw half it thatact W. the time is." - }, - { - "start": "27:28.72", - "stop": "27:28.84", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "27:31.28", - "stop": "27:33.60", - "speaker": "Student", - "dialogue": "It's going at like zero." - }, - { - "start": "27:34.84", - "stop": "27:37.04", - "speaker": "Student", - "dialogue": "Lezro should be here." - }, - { - "start": "27:40.40", - "stop": "27:45.32", - "speaker": "Student", - "dialogue": "Yeah, because you're traveling at zero miles an hour from one hour to one and a half hours." - }, - { - "start": "27:50.16", - "stop": "27:50.20", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "27:52.40", - "stop": "27:52.44", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "27:55.40", - "stop": "27:55.64", - "speaker": "Tutor", - "dialogue": "Keep." - }, - { - "start": "27:55.72", - "stop": "27:56.00", - "speaker": "Student", - "dialogue": "Gos." - }, - { - "start": "27:56.04", - "stop": "27:56.28", - "speaker": "Tutor", - "dialogue": "Going." - }, - { - "start": "27:56.32", - "stop": "28:03.24", - "speaker": "Student", - "dialogue": "To change colour, yeah." - }, - { - "start": "28:06.48", - "stop": "28:06.88", - "speaker": "Tutor", - "dialogue": "Convinced." - }, - { - "start": "28:07.68", - "stop": "28:08.40", - "speaker": "Student", - "dialogue": "I am convinced." - }, - { - "start": "28:09.24", - "stop": "28:10.28", - "speaker": "Tutor", - "dialogue": "Way to say with." - }, - { - "start": "28:14.04", - "stop": "28:23.56", - "speaker": "Student", - "dialogue": "And then from C, the D. it's still fifty miles an hour, so now let me" - }, - { - "start": "28:23.72", - "stop": "28:45.52", - "speaker": "Student", - "dialogue": "just to then, So S would be like there, and then D would be here, then Oy." - }, - { - "start": "28:45.64", - "stop": "28:56.00", - "speaker": "Student", - "dialogue": "So D, then C, Because you're still travelling P, fifty miles an hour, but you're going from one and a half hours to two and a halfvel." - }, - { - "start": "28:56.04", - "stop": "28:57.44", - "speaker": "Tutor", - "dialogue": "A P. of." - }, - { - "start": "28:59.04", - "stop": "28:59.08", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "29:04.40", - "stop": "29:04.44", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "29:04.76", - "stop": "29:35.60", - "speaker": "Student", - "dialogue": "To e, so E ends at like three, and like threefourths That's where like E is four." - }, - { - "start": "29:38.08", - "stop": "29:38.36", - "speaker": "Tutor", - "dialogue": "Point." - }, - { - "start": "29:38.48", - "stop": "29:45.36", - "speaker": "Student", - "dialogue": "E, but it's so it's not linear." - }, - { - "start": "29:49.08", - "stop": "29:51.92", - "speaker": "Tutor", - "dialogue": "So if it's not linear, what does that mean about the speed?" - }, - { - "start": "29:53.36", - "stop": "29:54.64", - "speaker": "Student", - "dialogue": "It's not constant." - }, - { - "start": "29:55.16", - "stop": "29:56.56", - "speaker": "Tutor", - "dialogue": "So, is it staying the same?" - }, - { - "start": "29:57.20", - "stop": "29:58.84", - "speaker": "Student", - "dialogue": "Or is no increasing?" - }, - { - "start": "29:58.96", - "stop": "29:59.64", - "speaker": "Tutor", - "dialogue": "Or decreasing?" - }, - { - "start": "30:00.52", - "stop": "30:04.20", - "speaker": "Student", - "dialogue": "It's increasing, but not at a constant rate, so." - }, - { - "start": "30:05.12", - "stop": "30:07.24", - "speaker": "Tutor", - "dialogue": "Does the speed increase the whole time?" - }, - { - "start": "30:07.84", - "stop": "30:07.88", - "speaker": "Student", - "dialogue": "Or" - }, - { - "start": "30:08.12", - "stop": "30:08.24", - "speaker": "Student", - "dialogue": "no?" - }, - { - "start": "30:10.32", - "stop": "30:14.64", - "speaker": "Tutor", - "dialogue": "So it's increasing and then staying the same or so, how could you?" - }, - { - "start": "30:14.92", - "stop": "30:16.32", - "speaker": "Tutor", - "dialogue": "It's not going to be a straight line now." - }, - { - "start": "30:17.00", - "stop": "30:20.64", - "speaker": "Student", - "dialogue": "Yep, howould it be like boom and then a bit there and like that." - }, - { - "start": "30:22.04", - "stop": "30:22.72", - "speaker": "Tutor", - "dialogue": "Yeah, it's gona be." - }, - { - "start": "30:23.00", - "stop": "30:24.64", - "speaker": "Tutor", - "dialogue": "It's gonna be jaggedy somehow, huh?" - }, - { - "start": "30:25.44", - "stop": "30:25.48", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "30:26.00", - "stop": "30:26.80", - "speaker": "Tutor", - "dialogue": "Yeah, okay." - }, - { - "start": "30:27.56", - "stop": "30:32.12", - "speaker": "Student", - "dialogue": "I feel like it'ld be like that for like basically the whole time, just little points." - }, - { - "start": "30:33.72", - "stop": "30:36.32", - "speaker": "Tutor", - "dialogue": "Okay, and then what about Eda F?" - }, - { - "start": "30:38.24", - "stop": "30:38.40", - "speaker": "Student", - "dialogue": "A f." - }, - { - "start": "30:39.92", - "stop": "30:57.28", - "speaker": "Student", - "dialogue": "um, so it'd be from like thirty five, or the distance would be one hundred and thirty five, and you're only traveling about like fifteen minutes." - }, - { - "start": "30:59.24", - "stop": "31:04.96", - "speaker": "Tutor", - "dialogue": "So from E to f is the distance increasing, decreasing or staying the same?" - }, - { - "start": "31:05.80", - "stop": "31:07.64", - "speaker": "Student", - "dialogue": "The distance is increasing by." - }, - { - "start": "31:07.76", - "stop": "31:08.24", - "speaker": "Tutor", - "dialogue": "How much?" - }, - { - "start": "31:09.92", - "stop": "31:12.96", - "speaker": "Student", - "dialogue": "By like fifteen miles." - }, - { - "start": "31:14.20", - "stop": "31:19.92", - "speaker": "Tutor", - "dialogue": "So, if you know, the distance is increasing by fifteen miles, and how much time did you say?" - }, - { - "start": "31:20.72", - "stop": "31:30.40", - "speaker": "Student", - "dialogue": "Oh fifteen minutes, so just be, Um, Be traveling at a constant rate of one, I'm pretty sure." - }, - { - "start": "31:31.24", - "stop": "31:32.76", - "speaker": "Tutor", - "dialogue": "Less, you're trying to find the speed." - }, - { - "start": "31:33.76", - "stop": "31:33.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "31:34.80", - "stop": "31:36.12", - "speaker": "Tutor", - "dialogue": "And how do we find the speed?" - }, - { - "start": "31:36.28", - "stop": "31:37.72", - "speaker": "Tutor", - "dialogue": "What's the relationship of speed?" - }, - { - "start": "31:38.72", - "stop": "31:39.76", - "speaker": "Student", - "dialogue": "Miles over hour." - }, - { - "start": "31:40.28", - "stop": "31:41.92", - "speaker": "Tutor", - "dialogue": "So if I know how many miles?" - }, - { - "start": "31:42.60", - "stop": "31:43.44", - "speaker": "Student", - "dialogue": "So fifteen?" - }, - { - "start": "31:43.92", - "stop": "31:46.68", - "speaker": "Tutor", - "dialogue": "I have traveled in one hour." - }, - { - "start": "31:48.24", - "stop": "31:49.24", - "speaker": "Tutor", - "dialogue": "I would know my speed." - }, - { - "start": "31:49.76", - "stop": "31:56.20", - "speaker": "Student", - "dialogue": "Youk showed me fifteen over sixteen minutes." - }, - { - "start": "31:58.16", - "stop": "31:59.52", - "speaker": "Tutor", - "dialogue": "So you're telling me here?" - }, - { - "start": "32:00.00", - "stop": "32:03.36", - "speaker": "Tutor", - "dialogue": "the from Eda F. The distance increased by how much?" - }, - { - "start": "32:05.08", - "stop": "32:11.32", - "speaker": "Student", - "dialogue": "Um, a fourth, I, I don't know, like the unit." - }, - { - "start": "32:12.68", - "stop": "32:21.92", - "speaker": "Tutor", - "dialogue": "We can estimate so from Eda F. estimate how many miles it has increased and how many hours it has increased, or you could do it by minutes." - }, - { - "start": "32:24.08", - "stop": "32:35.32", - "speaker": "Student", - "dialogue": "Well, you're traveling fifteen miles in, um, fifteen hour, fifteen miles and fifteen minutes." - }, - { - "start": "32:35.72", - "stop": "32:40.64", - "speaker": "Tutor", - "dialogue": "Okay, so fifteen miles in fifteen minutes?" - }, - { - "start": "32:42.72", - "stop": "32:42.76", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "32:43.04", - "stop": "32:43.08", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "32:43.32", - "stop": "32:43.36", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "32:43.64", - "stop": "32:45.84", - "speaker": "Tutor", - "dialogue": "You know it, um for one hour." - }, - { - "start": "32:46.92", - "stop": "32:48.60", - "speaker": "Student", - "dialogue": "Sixty miles over one hour." - }, - { - "start": "32:49.56", - "stop": "32:51.20", - "speaker": "Tutor", - "dialogue": "Because this would be sixty minutes." - }, - { - "start": "32:52.76", - "stop": "32:57.88", - "speaker": "Student", - "dialogue": "Mhm, over sixty miles." - }, - { - "start": "32:59.48", - "stop": "33:02.20", - "speaker": "Tutor", - "dialogue": "So that would be the same thing as sixty, my goodness." - }, - { - "start": "33:04.68", - "stop": "33:04.80", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "33:04.84", - "stop": "33:06.76", - "speaker": "Tutor", - "dialogue": "You writing with a pin, or do you have a mouse?" - }, - { - "start": "33:07.96", - "stop": "33:09.08", - "speaker": "Student", - "dialogue": "I'm using my finger." - }, - { - "start": "33:09.48", - "stop": "33:12.68", - "speaker": "Tutor", - "dialogue": "Ah, that's why I was like you can write much better than I can." - }, - { - "start": "33:12.72", - "stop": "33:12.88", - "speaker": "Tutor", - "dialogue": "With this." - }, - { - "start": "33:13.04", - "stop": "33:13.96", - "speaker": "Tutor", - "dialogue": "I'm trying to use a mouse." - }, - { - "start": "33:14.80", - "stop": "33:18.68", - "speaker": "Tutor", - "dialogue": "Okay, so sixty miles?" - }, - { - "start": "33:21.44", - "stop": "33:21.56", - "speaker": "Student", - "dialogue": "Per." - }, - { - "start": "33:21.72", - "stop": "33:22.16", - "speaker": "Tutor", - "dialogue": "One hour." - }, - { - "start": "33:23.00", - "stop": "33:24.72", - "speaker": "Tutor", - "dialogue": "Yeah, So how fast are we gone?" - }, - { - "start": "33:27.36", - "stop": "33:28.32", - "speaker": "Student", - "dialogue": "A mile an hour." - }, - { - "start": "33:28.88", - "stop": "33:30.52", - "speaker": "Student", - "dialogue": "No, that that doesn't make sense." - }, - { - "start": "33:38.00", - "stop": "33:38.28", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "33:39.96", - "stop": "33:44.84", - "speaker": "Tutor", - "dialogue": "You figured out how many miles in sixty minutes is sixty minutes?" - }, - { - "start": "33:44.96", - "stop": "33:45.88", - "speaker": "Tutor", - "dialogue": "The same thing as an hour." - }, - { - "start": "33:46.16", - "stop": "33:46.72", - "speaker": "Tutor", - "dialogue": "Oh, it's." - }, - { - "start": "33:47.36", - "stop": "33:49.04", - "speaker": "Student", - "dialogue": "Um, sixty miles an hour." - }, - { - "start": "33:49.36", - "stop": "33:55.44", - "speaker": "Student", - "dialogue": "I'm pretty sure, Yeah, because you're traveling a mile a minute, so it'd be sixty miles an hour." - }, - { - "start": "33:55.72", - "stop": "34:00.16", - "speaker": "Tutor", - "dialogue": "Okay, do you know what this thing is called that you were reasoning with right now?" - }, - { - "start": "34:00.72", - "stop": "34:04.00", - "speaker": "Student", - "dialogue": "Um, I, I forgot the name." - }, - { - "start": "34:04.48", - "stop": "34:05.16", - "speaker": "Tutor", - "dialogue": "A proportion." - }, - { - "start": "34:05.84", - "stop": "34:06.60", - "speaker": "Student", - "dialogue": "A proportion, yeah." - }, - { - "start": "34:07.08", - "stop": "34:12.64", - "speaker": "Tutor", - "dialogue": "You had two ratios set equal to each other to find the proportion or the proportional relationship." - }, - { - "start": "34:16.64", - "stop": "34:16.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "34:16.84", - "stop": "34:19.60", - "speaker": "Tutor", - "dialogue": "How are you going to show that last section da f?" - }, - { - "start": "34:20.80", - "stop": "34:42.88", - "speaker": "Student", - "dialogue": "So like sixty theon, wait, I'm just put, so point would be like right here, Point F, and then from Eda F from sixty w'ld be like that." - }, - { - "start": "34:44.24", - "stop": "34:47.20", - "speaker": "Student", - "dialogue": "then point F would be right on the top, so F." - }, - { - "start": "34:49.72", - "stop": "34:54.80", - "speaker": "Tutor", - "dialogue": "So if we come back down to your points here, I see a B and a Bhm." - }, - { - "start": "34:55.04", - "stop": "34:55.16", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "34:55.28", - "stop": "34:58.60", - "speaker": "Tutor", - "dialogue": "We have the same point at two different parts of a graph." - }, - { - "start": "35:01.88", - "stop": "35:02.00", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "35:03.24", - "stop": "35:08.44", - "speaker": "Tutor", - "dialogue": "So you would have to decide, Do you want Point B to be here or here?" - }, - { - "start": "35:22.92", - "stop": "35:24.92", - "speaker": "Student", - "dialogue": "Well, that doesn't make it." - }, - { - "start": "35:25.64", - "stop": "35:34.64", - "speaker": "Student", - "dialogue": "I think it can be, because if if there's only one B point then then it'd be like a not straight line." - }, - { - "start": "35:34.68", - "stop": "35:36.68", - "speaker": "Student", - "dialogue": "It'd be like sloped." - }, - { - "start": "35:37.00", - "stop": "35:38.16", - "speaker": "Student", - "dialogue": "It would have a slope to it." - }, - { - "start": "35:39.28", - "stop": "35:47.16", - "speaker": "Tutor", - "dialogue": "So this is also saying that your car traveled fifty miles an hour, and then it instantly went to zero." - }, - { - "start": "35:48.88", - "stop": "35:48.92", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "35:49.32", - "stop": "35:54.36", - "speaker": "Tutor", - "dialogue": "Can a car be going sixty miles an hour and zero at the same time?" - }, - { - "start": "35:57.76", - "stop": "35:58.44", - "speaker": "Student", - "dialogue": "No, no." - }, - { - "start": "35:58.92", - "stop": "36:00.36", - "speaker": "Tutor", - "dialogue": "With physics it can't right." - }, - { - "start": "36:00.72", - "stop": "36:05.36", - "speaker": "Tutor", - "dialogue": "Yeah, and it would have some sort of a deceleration or acceleration." - }, - { - "start": "36:06.08", - "stop": "36:06.28", - "speaker": "Tutor", - "dialogue": "Hm." - }, - { - "start": "36:06.48", - "stop": "36:08.28", - "speaker": "Tutor", - "dialogue": "Have you ever seen graphs that look kind of like this?" - }, - { - "start": "36:10.12", - "stop": "36:11.76", - "speaker": "Student", - "dialogue": "Probably in physics that I could have Pi." - }, - { - "start": "36:13.96", - "stop": "36:20.32", - "speaker": "Tutor", - "dialogue": "So what we end up doing here is deciding the point is either open or closed." - }, - { - "start": "36:22.56", - "stop": "36:22.60", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "36:22.76", - "stop": "36:29.60", - "speaker": "Tutor", - "dialogue": "We're saying if we did it this way, we say the car is travelling fifty miles an hour, infinitely close to point B." - }, - { - "start": "36:31.24", - "stop": "36:31.28", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "36:31.48", - "stop": "36:32.60", - "speaker": "Tutor", - "dialogue": "Doesn't include point B." - }, - { - "start": "36:34.36", - "stop": "36:34.52", - "speaker": "Student", - "dialogue": "At." - }, - { - "start": "36:34.68", - "stop": "36:37.40", - "speaker": "Tutor", - "dialogue": "Point B, the car is going zero miles an hour." - }, - { - "start": "36:40.60", - "stop": "36:40.64", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "36:40.80", - "stop": "36:45.68", - "speaker": "Tutor", - "dialogue": "This also assumes that a car can go from sixty miles an hour to zero miles an hour instantly, which?" - }, - { - "start": "36:46.96", - "stop": "36:47.00", - "speaker": "Student", - "dialogue": "In." - }, - { - "start": "36:47.08", - "stop": "36:51.72", - "speaker": "Tutor", - "dialogue": "The real life doesn't make sense, but on this graph that's what we would be describing." - }, - { - "start": "36:53.04", - "stop": "36:53.16", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "36:53.24", - "stop": "36:53.84", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "36:54.32", - "stop": "36:54.48", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "36:54.96", - "stop": "36:59.12", - "speaker": "Tutor", - "dialogue": "Yeah, okay, these graphs are called peacewise." - }, - { - "start": "36:59.40", - "stop": "37:00.72", - "speaker": "Tutor", - "dialogue": "Have you ever heard that word before?" - }, - { - "start": "37:01.40", - "stop": "37:01.52", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "37:02.04", - "stop": "37:11.36", - "speaker": "Tutor", - "dialogue": "A pieacewise graph, you will see them more, I bet, and so in the future you will have a bit of an anchor for what is a piecewise." - }, - { - "start": "37:11.48", - "stop": "37:13.64", - "speaker": "Tutor", - "dialogue": "It doesn't look like these linear graphs, does it?" - }, - { - "start": "37:14.24", - "stop": "37:16.16", - "speaker": "Tutor", - "dialogue": "And it doesn't look like a quadratic." - }, - { - "start": "37:16.96", - "stop": "37:42.28", - "speaker": "Tutor", - "dialogue": "It's a different type of graph and it's because it's describing different things in the relationship between them, but whether it's a piecewise or it's linear or its quadratic, all graphs are describing how one thing is changing in relationship to another thing, and these words of increasing, decreasing and staying" - }, - { - "start": "37:42.40", - "stop": "37:47.96", - "speaker": "Tutor", - "dialogue": "the same can help you make Sen of graphs, no matter how weird or bizarre they look." - }, - { - "start": "37:49.24", - "stop": "37:49.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "37:50.12", - "stop": "37:51.64", - "speaker": "Tutor", - "dialogue": "So does that make sense?" - }, - { - "start": "37:52.40", - "stop": "37:52.56", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "37:53.08", - "stop": "37:56.92", - "speaker": "Tutor", - "dialogue": "So always challenge yourself to think when you come to a graph." - }, - { - "start": "37:58.36", - "stop": "37:58.40", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "37:59.08", - "stop": "38:00.44", - "speaker": "Tutor", - "dialogue": "Is the thing that's changing?" - }, - { - "start": "38:01.80", - "stop": "38:04.32", - "speaker": "Tutor", - "dialogue": "What are the units that I'm using to keep track of it?" - }, - { - "start": "38:05.68", - "stop": "38:08.88", - "speaker": "Tutor", - "dialogue": "And is it increasing, decreasing or staying the same?" - }, - { - "start": "38:10.52", - "stop": "38:10.56", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "38:10.68", - "stop": "38:15.32", - "speaker": "Tutor", - "dialogue": "Then the relationship between how those are changing is shown in the middle of the graph." - }, - { - "start": "38:17.80", - "stop": "38:18.00", - "speaker": "Student", - "dialogue": "Makes." - }, - { - "start": "38:18.08", - "stop": "38:28.60", - "speaker": "Tutor", - "dialogue": "Sense, so you know that you are helping us learn more about this platform and what this experience is like for students to learn math like this." - }, - { - "start": "38:29.44", - "stop": "38:32.08", - "speaker": "Tutor", - "dialogue": "So your voice really matters and helps us a lot." - }, - { - "start": "38:32.52", - "stop": "38:39.88", - "speaker": "Tutor", - "dialogue": "Can you explain a little bit about what your experience was like, what was helpful and what wasn't or anything we should be thinking about?" - }, - { - "start": "38:41.08", - "stop": "38:42.76", - "speaker": "Student", - "dialogue": "Everything was very helpful." - }, - { - "start": "38:42.84", - "stop": "38:44.72", - "speaker": "Student", - "dialogue": "It wasn't like you were just telling me to answer." - }, - { - "start": "38:44.88", - "stop": "38:50.24", - "speaker": "Student", - "dialogue": "You really made me think, and some parts was really confusing." - }, - { - "start": "38:50.36", - "stop": "38:53.48", - "speaker": "Student", - "dialogue": "Like when I was making my grapht, in the beginning I was." - }, - { - "start": "38:53.80", - "stop": "38:55.44", - "speaker": "Student", - "dialogue": "I was very unsure." - }, - { - "start": "38:55.64", - "stop": "38:59.68", - "speaker": "Student", - "dialogue": "I didn't really know what to do, but you really helped me, Gud." - }, - { - "start": "38:59.84", - "stop": "39:05.36", - "speaker": "Student", - "dialogue": "You really guided me through that without actually telling me how to do it." - }, - { - "start": "39:05.88", - "stop": "39:07.88", - "speaker": "Tutor", - "dialogue": "So it helped you make sense of it on your own." - }, - { - "start": "39:08.12", - "stop": "39:08.28", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "39:10.24", - "stop": "39:10.28", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "39:10.44", - "stop": "39:13.76", - "speaker": "Tutor", - "dialogue": "Is something you feel like you've learned or think differently about?" - }, - { - "start": "39:15.44", - "stop": "39:17.40", - "speaker": "Student", - "dialogue": "You taught me what a peecewinse graph is." - }, - { - "start": "39:18.84", - "stop": "39:25.60", - "speaker": "Tutor", - "dialogue": "Usually you'll see Im lookin like this, and I think at one point you even said I would know what to do if time was down" - }, - { - "start": "39:25.68", - "stop": "39:32.44", - "speaker": "Tutor", - "dialogue": "here and time is usually down here in math class graphts, but it doesn't always have to be." - }, - { - "start": "39:34.32", - "stop": "39:37.16", - "speaker": "Student", - "dialogue": "When it's like a straight line, I've done the grapt in physics." - }, - { - "start": "39:37.60", - "stop": "39:38.08", - "speaker": "Tutor", - "dialogue": "Exactly?" - }, - { - "start": "39:38.40", - "stop": "39:44.24", - "speaker": "Tutor", - "dialogue": "so I, we purposefullly di this to make you really think about the relationship between these two things that are changing." - }, - { - "start": "39:45.00", - "stop": "39:49.20", - "speaker": "Tutor", - "dialogue": "Yeah, because when that part of your brain is really strong, then things like physics." - }, - { - "start": "39:49.64", - "stop": "39:53.28", - "speaker": "Tutor", - "dialogue": "you have those anchors to be able to make sense of what's going on in physics then." - }, - { - "start": "39:54.04", - "stop": "39:54.32", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "39:55.16", - "stop": "39:55.44", - "speaker": "Tutor", - "dialogue": "Cool" - }, - { - "start": "39:55.52", - "stop": "39:55.80", - "speaker": "Tutor", - "dialogue": "stuff." - }, - { - "start": "39:56.80", - "stop": "39:57.00", - "speaker": "Tutor", - "dialogue": "Yp." - }, - { - "start": "39:57.24", - "stop": "39:59.48", - "speaker": "Tutor", - "dialogue": "All right, Anything else you think would be helpful for us to know?" - }, - { - "start": "40:00.44", - "stop": "40:01.68", - "speaker": "Student", - "dialogue": "O, no." - }, - { - "start": "40:03.52", - "stop": "40:08.32", - "speaker": "Tutor", - "dialogue": "We thank you so much for joining to-day and for helping you, and I hope that you have a great evening." - }, - { - "start": "40:08.92", - "stop": "40:11.00", - "speaker": "Student", - "dialogue": "You too bod-bye bye." - }, - { - "start": "40:45.56", - "stop": "40:45.60", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "40:46.00", - "stop": "40:46.28", - "speaker": "Student", - "dialogue": "Better." - }, - { - "start": "41:17.44", - "stop": "41:17.64", - "speaker": "Tutor", - "dialogue": "She." - }, - { - "start": "41:48.76", - "stop": "41:48.84", - "speaker": "Student", - "dialogue": "Hy." - }, - { - "start": "41:48.96", - "stop": "41:49.48", - "speaker": "Tutor", - "dialogue": "Carlos." - }, - { - "start": "41:49.56", - "stop": "41:49.84", - "speaker": "Student", - "dialogue": "Praid." - }, - { - "start": "41:49.96", - "stop": "41:52.24", - "speaker": "Tutor", - "dialogue": "I keep getting this message period." - }, - { - "start": "41:53.12", - "stop": "41:56.44", - "speaker": "Tutor", - "dialogue": "Any ideas what would be set up on auto pay?" - }, - { - "start": "41:58.32", - "stop": "41:58.36", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "41:58.64", - "stop": "42:00.76", - "speaker": "Tutor", - "dialogue": "Cost this amount questioner." - } -] \ No newline at end of file diff --git a/data/amber/7152022AH.json b/data/amber/7152022AH.json deleted file mode 100644 index 2304e95..0000000 --- a/data/amber/7152022AH.json +++ /dev/null @@ -1,3536 +0,0 @@ -[ - { - "start": "00:01.68", - "stop": "00:09.76", - "speaker": "Tutor", - "dialogue": "Allright, so we'll check to make sure that the tech is working and you can see everything, and then we will get started on thinking about some math together." - }, - { - "start": "00:10.00", - "stop": "00:10.48", - "speaker": "Tutor", - "dialogue": "Sound good." - }, - { - "start": "00:12.76", - "stop": "00:12.92", - "speaker": "Student", - "dialogue": "When?" - }, - { - "start": "00:13.00", - "stop": "00:14.60", - "speaker": "Tutor", - "dialogue": "I move my arrow around." - }, - { - "start": "00:14.72", - "stop": "00:15.96", - "speaker": "Tutor", - "dialogue": "Can you see it on your screen?" - }, - { - "start": "00:17.52", - "stop": "00:17.72", - "speaker": "Student", - "dialogue": "Try." - }, - { - "start": "00:17.84", - "stop": "00:19.60", - "speaker": "Tutor", - "dialogue": "Moving yours to make sure I can see yours." - }, - { - "start": "00:19.68", - "stop": "00:20.88", - "speaker": "Tutor", - "dialogue": "Too nice." - }, - { - "start": "00:21.48", - "stop": "00:24.76", - "speaker": "Tutor", - "dialogue": "You can close the chat box because we'll be talking." - }, - { - "start": "00:25.56", - "stop": "00:28.16", - "speaker": "Tutor", - "dialogue": "Yeah, the the chat box on the right hand side." - }, - { - "start": "00:28.32", - "stop": "00:28.56", - "speaker": "Tutor", - "dialogue": "Good." - }, - { - "start": "00:30.00", - "stop": "00:30.12", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "00:30.24", - "stop": "00:34.04", - "speaker": "Tutor", - "dialogue": "Right then, you have tools on the left hand side of your screen." - }, - { - "start": "00:36.00", - "stop": "00:36.28", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "00:36.52", - "stop": "00:38.40", - "speaker": "Tutor", - "dialogue": "Do not touch the trash can button." - }, - { - "start": "00:39.36", - "stop": "00:42.60", - "speaker": "Tutor", - "dialogue": "That one erases everything and we have no way of getting it back." - }, - { - "start": "00:44.00", - "stop": "00:58.60", - "speaker": "Tutor", - "dialogue": "But if you do want to erase something the way that you do that is first, you can either draw with the pencil, and when you click on the pencil, you'll see that there's a color button and a size button that pops up." - }, - { - "start": "00:59.00", - "stop": "01:00.36", - "speaker": "Tutor", - "dialogue": "You can change the color in size." - }, - { - "start": "01:00.40", - "stop": "01:01.28", - "speaker": "Tutor", - "dialogue": "If you want cool." - }, - { - "start": "01:01.68", - "stop": "01:04.32", - "speaker": "Tutor", - "dialogue": "You could also use the textbox if you want to type." - }, - { - "start": "01:04.84", - "stop": "01:13.36", - "speaker": "Tutor", - "dialogue": "But if you want to erase something, then you need to select specifically what you want to erase by using that top arrow as your select tool." - }, - { - "start": "01:14.08", - "stop": "01:15.72", - "speaker": "Student", - "dialogue": "Clet Ma space." - }, - { - "start": "01:16.32", - "stop": "01:19.60", - "speaker": "Tutor", - "dialogue": "Nope, you have to actually select it by being." - }, - { - "start": "01:20.08", - "stop": "01:20.68", - "speaker": "Tutor", - "dialogue": "Yeah, there you go." - }, - { - "start": "01:20.88", - "stop": "01:22.88", - "speaker": "Tutor", - "dialogue": "You moved it around, so you are selected on it." - }, - { - "start": "01:23.40", - "stop": "01:29.08", - "speaker": "Tutor", - "dialogue": "Yep, Once it's selected like that, If you want to erase it, there's a arrow with an x in the middle of it." - }, - { - "start": "01:29.32", - "stop": "01:30.08", - "speaker": "Tutor", - "dialogue": "Do you see that one?" - }, - { - "start": "01:31.48", - "stop": "01:31.72", - "speaker": "Student", - "dialogue": "That's" - }, - { - "start": "01:31.80", - "stop": "01:33.84", - "speaker": "Tutor", - "dialogue": "Your erase button." - }, - { - "start": "01:35.28", - "stop": "01:35.56", - "speaker": "Student", - "dialogue": "Got it?" - }, - { - "start": "01:37.32", - "stop": "01:41.88", - "speaker": "Tutor", - "dialogue": "Nice, Okay and then, as we're working together, I'll ask you a lot of questions." - }, - { - "start": "01:42.48", - "stop": "01:49.08", - "speaker": "Tutor", - "dialogue": "But just A. because I ask you a question doesn't mean that you got something wrong, Just means I want to understand more about your thinking." - }, - { - "start": "01:49.32", - "stop": "01:56.76", - "speaker": "Tutor", - "dialogue": "Okay, so the more that you can describe your thinking out loud as you're thinking it, the more helpful that is." - }, - { - "start": "01:58.60", - "stop": "01:58.64", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "01:58.88", - "stop": "02:06.28", - "speaker": "Tutor", - "dialogue": "Then, since we're not in person, sometimes I may ask you something, and you're like H. I don't know." - }, - { - "start": "02:06.48", - "stop": "02:07.92", - "speaker": "Tutor", - "dialogue": "I need some time to think about that." - }, - { - "start": "02:08.52", - "stop": "02:13.32", - "speaker": "Tutor", - "dialogue": "Just verbalize that so that I don't interrupt your thinking by asking more things." - }, - { - "start": "02:14.36", - "stop": "02:15.64", - "speaker": "Student", - "dialogue": "It cool." - }, - { - "start": "02:16.52", - "stop": "02:16.56", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "02:16.80", - "stop": "02:17.04", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "02:17.16", - "stop": "02:20.96", - "speaker": "Tutor", - "dialogue": "All right, I think that we are ready to get started if you don't have any questions about the tools." - }, - { - "start": "02:21.76", - "stop": "02:22.96", - "speaker": "Student", - "dialogue": "And no questions at all." - }, - { - "start": "02:23.12", - "stop": "02:24.80", - "speaker": "Tutor", - "dialogue": "Awesome, All right, let me." - }, - { - "start": "02:27.64", - "stop": "02:27.68", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "02:27.80", - "stop": "02:29.68", - "speaker": "Tutor", - "dialogue": "You see something different on your screen now." - }, - { - "start": "02:30.44", - "stop": "02:31.08", - "speaker": "Student", - "dialogue": "I see a ma." - }, - { - "start": "02:32.08", - "stop": "02:34.12", - "speaker": "Tutor", - "dialogue": "Yeah, so take a second to read it." - }, - { - "start": "02:34.44", - "stop": "02:36.36", - "speaker": "Tutor", - "dialogue": "Look it over and then describe to me" - }, - { - "start": "02:36.52", - "stop": "02:38.72", - "speaker": "Tutor", - "dialogue": "what you think is happening in the situation." - }, - { - "start": "02:46.56", - "stop": "02:46.60", - "speaker": "Student", - "dialogue": "Di." - }, - { - "start": "02:48.88", - "stop": "02:49.32", - "speaker": "Tutor", - "dialogue": "What was that?" - }, - { - "start": "02:50.56", - "stop": "02:51.92", - "speaker": "Student", - "dialogue": "Distance, right?" - }, - { - "start": "02:52.28", - "stop": "02:53.20", - "speaker": "Tutor", - "dialogue": "Okay, tell me more." - }, - { - "start": "02:53.32", - "stop": "02:54.20", - "speaker": "Tutor", - "dialogue": "What about distance?" - }, - { - "start": "02:55.92", - "stop": "03:00.04", - "speaker": "Student", - "dialogue": "Shows a car journey from Tru area." - }, - { - "start": "03:02.04", - "stop": "03:04.16", - "speaker": "Tutor", - "dialogue": "Okay, so the car's going to start where?" - }, - { - "start": "03:05.84", - "stop": "03:06.36", - "speaker": "Student", - "dialogue": "Yeah, right." - }, - { - "start": "03:06.44", - "stop": "03:09.36", - "speaker": "Tutor", - "dialogue": "Here, yeah, and then with your arrow, show me what the car's gonna do." - }, - { - "start": "03:12.64", - "stop": "03:12.92", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "03:14.76", - "stop": "03:16.68", - "speaker": "Tutor", - "dialogue": "And you think something about distance?" - }, - { - "start": "03:19.56", - "stop": "03:19.88", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "03:20.76", - "stop": "03:24.08", - "speaker": "Tutor", - "dialogue": "What are some other things that we could measure in this situation?" - }, - { - "start": "03:29.56", - "stop": "03:29.76", - "speaker": "Student", - "dialogue": "Good." - }, - { - "start": "03:29.96", - "stop": "03:37.84", - "speaker": "Tutor", - "dialogue": "Question, that is I ninety five, and that is the name of this interstate from Providence to Newark." - }, - { - "start": "03:44.60", - "stop": "03:46.00", - "speaker": "Student", - "dialogue": "Mylesk." - }, - { - "start": "03:46.72", - "stop": "03:50.68", - "speaker": "Tutor", - "dialogue": "Would we be measuring the distance with miles, or would we be measuring something else?" - }, - { - "start": "03:51.68", - "stop": "03:53.40", - "speaker": "Student", - "dialogue": "Dis Miles, Okay?" - }, - { - "start": "03:56.12", - "stop": "03:58.80", - "speaker": "Tutor", - "dialogue": "Is there anything else we can measure in this situation?" - }, - { - "start": "04:03.00", - "stop": "04:03.12", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "04:03.92", - "stop": "04:04.60", - "speaker": "Tutor", - "dialogue": "Cool thinking." - }, - { - "start": "04:04.96", - "stop": "04:10.88", - "speaker": "Tutor", - "dialogue": "I'm going to uncover something and tell me how it's similar or different to what you were thinking about." - }, - { - "start": "04:14.00", - "stop": "04:17.04", - "speaker": "Student", - "dialogue": "Oh, di, per secon, yeah." - }, - { - "start": "04:19.24", - "stop": "04:20.32", - "speaker": "Tutor", - "dialogue": "So what is this grap?" - }, - { - "start": "04:21.40", - "stop": "04:21.64", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "04:21.84", - "stop": "04:22.84", - "speaker": "Tutor", - "dialogue": "Distance per hour." - }, - { - "start": "04:22.92", - "stop": "04:23.68", - "speaker": "Tutor", - "dialogue": "What does that mean?" - }, - { - "start": "04:24.84", - "stop": "04:30.12", - "speaker": "Student", - "dialogue": "It means like miles per hour, for example, one hour pern hour." - }, - { - "start": "04:33.68", - "stop": "04:39.72", - "speaker": "Tutor", - "dialogue": "So do some more of that describe the relationship between this graph and this map?" - }, - { - "start": "04:40.72", - "stop": "04:42.24", - "speaker": "Tutor", - "dialogue": "How do you see them being related?" - }, - { - "start": "04:50.80", - "stop": "04:50.84", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "04:51.00", - "stop": "04:52.08", - "speaker": "Tutor", - "dialogue": "Does linear mean?" - }, - { - "start": "04:53.08", - "stop": "04:54.04", - "speaker": "Student", - "dialogue": "A straight line." - }, - { - "start": "04:54.60", - "stop": "04:54.64", - "speaker": "Tutor", - "dialogue": "K." - }, - { - "start": "04:56.76", - "stop": "04:56.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "04:57.04", - "stop": "05:05.00", - "speaker": "Tutor", - "dialogue": "If it's almost linear, what does that mean is going on during each stage of the journey from Providence to Newark?" - }, - { - "start": "05:06.00", - "stop": "05:10.68", - "speaker": "Student", - "dialogue": "Ah, nstlaw bums curves, Ok?" - }, - { - "start": "05:12.84", - "stop": "05:16.28", - "speaker": "Tutor", - "dialogue": "Where do you see these curves in the graph?" - }, - { - "start": "05:19.20", - "stop": "05:20.84", - "speaker": "Student", - "dialogue": "C. D. Ge." - }, - { - "start": "05:22.48", - "stop": "05:29.00", - "speaker": "Tutor", - "dialogue": "K, so let's start labeling that where would point A be located on the map?" - }, - { - "start": "05:30.80", - "stop": "05:31.00", - "speaker": "Student", - "dialogue": "Here." - }, - { - "start": "05:32.16", - "stop": "05:35.12", - "speaker": "Tutor", - "dialogue": "K. use your tools to label that in a way that makes sense for you." - }, - { - "start": "05:52.04", - "stop": "05:52.28", - "speaker": "Student", - "dialogue": "Keep." - }, - { - "start": "05:52.36", - "stop": "05:54.00", - "speaker": "Tutor", - "dialogue": "Going, where would your next point be?" - }, - { - "start": "06:10.16", - "stop": "07:13.52", - "speaker": "Student", - "dialogue": "You rownd here, you there, I'm done." - }, - { - "start": "07:15.16", - "stop": "07:19.12", - "speaker": "Tutor", - "dialogue": "Okay, point d to point e. Tell me more about that." - }, - { - "start": "07:19.24", - "stop": "07:20.00", - "speaker": "Tutor", - "dialogue": "Where do you se that?" - }, - { - "start": "07:21.76", - "stop": "07:26.44", - "speaker": "Student", - "dialogue": "Ah, jus like two curves Aright." - }, - { - "start": "07:26.72", - "stop": "07:33.96", - "speaker": "Tutor", - "dialogue": "So put the actual like dot on the map for where you see those points, so I can make sure I'm understanding it like you are." - }, - { - "start": "07:38.24", - "stop": "07:38.40", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "07:38.48", - "stop": "07:39.52", - "speaker": "Tutor", - "dialogue": "You hear me now?" - }, - { - "start": "07:41.04", - "stop": "07:41.28", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "07:42.64", - "stop": "07:43.80", - "speaker": "Tutor", - "dialogue": "See how I drew a dot." - }, - { - "start": "07:45.92", - "stop": "07:46.28", - "speaker": "Student", - "dialogue": "Actually." - }, - { - "start": "07:46.48", - "stop": "07:49.84", - "speaker": "Tutor", - "dialogue": "Put a dot on the map for where your points are." - }, - { - "start": "07:52.56", - "stop": "07:52.88", - "speaker": "Student", - "dialogue": "Shape." - }, - { - "start": "07:53.96", - "stop": "07:57.20", - "speaker": "Tutor", - "dialogue": "You can do shape, or you can use the pencil tool, whatever works better for." - }, - { - "start": "07:57.28", - "stop": "09:05.44", - "speaker": "Student", - "dialogue": "You an?" - }, - { - "start": "09:05.92", - "stop": "09:06.24", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "09:07.36", - "stop": "09:10.20", - "speaker": "Tutor", - "dialogue": "okay, now, help me understand your thinking." - }, - { - "start": "09:10.68", - "stop": "09:13.32", - "speaker": "Tutor", - "dialogue": "Why did you put the points where you put them?" - }, - { - "start": "09:15.44", - "stop": "09:23.92", - "speaker": "Student", - "dialogue": "Ah, for for point C to point D, you can see the line is straight, so yeah." - }, - { - "start": "09:25.72", - "stop": "09:26.04", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "09:26.84", - "stop": "09:29.88", - "speaker": "Student", - "dialogue": "And point F and point A is of course, star n, N." - }, - { - "start": "09:31.52", - "stop": "09:31.84", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "09:33.88", - "stop": "09:40.40", - "speaker": "Student", - "dialogue": "I don't know about A and B. I'm confused with that d e nner nderstand." - }, - { - "start": "09:42.48", - "stop": "09:44.08", - "speaker": "Tutor", - "dialogue": "What do you understand about D. E?" - }, - { - "start": "09:45.64", - "stop": "09:48.24", - "speaker": "Student", - "dialogue": "D, e, uhh, there's a lot of curves." - }, - { - "start": "09:49.08", - "stop": "09:51.88", - "speaker": "Tutor", - "dialogue": "So if there's a lot of curves, what does that mean?" - }, - { - "start": "09:56.00", - "stop": "09:57.36", - "speaker": "Student", - "dialogue": "Not straight line." - }, - { - "start": "10:00.44", - "stop": "10:00.76", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "10:01.08", - "stop": "10:03.68", - "speaker": "Tutor", - "dialogue": "okay, You're doing a good job of explaining your thinking." - }, - { - "start": "10:04.80", - "stop": "10:18.76", - "speaker": "Tutor", - "dialogue": "K. I'm going to type some words that I'm going to encourage you to use whenever I ask you to justify or to prove something or explain something ready." - }, - { - "start": "10:19.08", - "stop": "10:20.20", - "speaker": "Tutor", - "dialogue": "We're gona talk about." - }, - { - "start": "10:21.72", - "stop": "10:22.48", - "speaker": "Tutor", - "dialogue": "start typing them." - }, - { - "start": "10:22.68", - "stop": "10:24.32", - "speaker": "Tutor", - "dialogue": "We're going to talk about increasing." - }, - { - "start": "10:26.00", - "stop": "10:26.60", - "speaker": "Student", - "dialogue": "Decreasing." - }, - { - "start": "10:28.08", - "stop": "10:28.12", - "speaker": "Tutor", - "dialogue": "Or?" - }, - { - "start": "10:28.36", - "stop": "10:28.68", - "speaker": "Student", - "dialogue": "Staying." - }, - { - "start": "10:28.84", - "stop": "10:29.24", - "speaker": "Tutor", - "dialogue": "The same." - }, - { - "start": "10:31.96", - "stop": "10:32.24", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "10:32.92", - "stop": "10:41.60", - "speaker": "Tutor", - "dialogue": "And we're going to talk about each of these things that are changing in what is changing in this situation." - }, - { - "start": "10:49.60", - "stop": "10:49.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "10:50.40", - "stop": "10:53.52", - "speaker": "Tutor", - "dialogue": "On the graph, the graph is keeping track." - }, - { - "start": "10:53.76", - "stop": "10:57.88", - "speaker": "Tutor", - "dialogue": "Yeah, the graph is keeping track of some things that are changing what's changing." - }, - { - "start": "10:59.76", - "stop": "11:02.52", - "speaker": "Student", - "dialogue": "I believe B and C they change." - }, - { - "start": "11:03.92", - "stop": "11:06.20", - "speaker": "Tutor", - "dialogue": "What might be changing from B to C?" - }, - { - "start": "11:07.76", - "stop": "11:11.08", - "speaker": "Student", - "dialogue": "B to s sto, oh." - }, - { - "start": "11:13.24", - "stop": "11:21.84", - "speaker": "Tutor", - "dialogue": "Yeah, something stays the same from B to C. Let's think about what's happening with distance and what's happening with time." - }, - { - "start": "11:24.04", - "stop": "11:24.08", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "11:24.32", - "stop": "11:31.48", - "speaker": "Tutor", - "dialogue": "From A to B is distance increasing, decreasing, or staying the same." - }, - { - "start": "11:32.40", - "stop": "11:32.84", - "speaker": "Student", - "dialogue": "Increase." - }, - { - "start": "11:33.40", - "stop": "11:33.96", - "speaker": "Tutor", - "dialogue": "How do you know?" - }, - { - "start": "11:35.68", - "stop": "11:39.96", - "speaker": "Student", - "dialogue": "It's going up fifty miles per hour." - }, - { - "start": "11:41.40", - "stop": "11:44.36", - "speaker": "Tutor", - "dialogue": "Where do you see just the distance increasing?" - }, - { - "start": "11:44.56", - "stop": "11:46.04", - "speaker": "Tutor", - "dialogue": "Can you show me that with your arrow?" - }, - { - "start": "11:46.88", - "stop": "11:47.12", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "11:47.84", - "stop": "11:49.56", - "speaker": "Tutor", - "dialogue": "Can you show me where you see?" - }, - { - "start": "11:49.68", - "stop": "11:51.44", - "speaker": "Tutor", - "dialogue": "The distance is increasing." - }, - { - "start": "11:56.52", - "stop": "11:56.72", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "11:56.84", - "stop": "11:59.08", - "speaker": "Tutor", - "dialogue": "Do you your pointing here and here?" - }, - { - "start": "11:59.64", - "stop": "12:01.76", - "speaker": "Tutor", - "dialogue": "How much is the distance increasing?" - }, - { - "start": "12:02.80", - "stop": "12:04.36", - "speaker": "Student", - "dialogue": "Fifty miles per hour." - }, - { - "start": "12:05.68", - "stop": "12:11.28", - "speaker": "Tutor", - "dialogue": "So the distance is increasing by fifty miles." - }, - { - "start": "12:13.44", - "stop": "12:13.60", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "12:14.84", - "stop": "12:18.16", - "speaker": "Tutor", - "dialogue": "How much what's going on with the time?" - }, - { - "start": "12:18.72", - "stop": "12:22.04", - "speaker": "Tutor", - "dialogue": "is the time increasing, decreasing or staying the same?" - }, - { - "start": "12:22.80", - "stop": "12:23.24", - "speaker": "Student", - "dialogue": "Increase." - }, - { - "start": "12:24.16", - "stop": "12:26.24", - "speaker": "Tutor", - "dialogue": "How much is the time increasing by?" - }, - { - "start": "12:27.76", - "stop": "12:27.92", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "12:27.96", - "stop": "12:29.08", - "speaker": "Tutor", - "dialogue": "You label that somehow." - }, - { - "start": "12:37.72", - "stop": "12:37.88", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "12:38.00", - "stop": "12:39.32", - "speaker": "Tutor", - "dialogue": "Hard to write on a computer." - }, - { - "start": "12:39.68", - "stop": "12:39.92", - "speaker": "Tutor", - "dialogue": "I have." - }, - { - "start": "12:40.20", - "stop": "12:44.08", - "speaker": "Tutor", - "dialogue": "I struggle with it too, So we're just going to do our best and be patient with each other." - }, - { - "start": "12:44.52", - "stop": "12:45.04", - "speaker": "Tutor", - "dialogue": "Sound good." - }, - { - "start": "12:46.72", - "stop": "12:47.00", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "12:47.16", - "stop": "12:52.60", - "speaker": "Tutor", - "dialogue": "Okay, so this axis is keeping track of how time is changing?" - }, - { - "start": "12:54.00", - "stop": "12:54.04", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "12:54.28", - "stop": "12:57.44", - "speaker": "Tutor", - "dialogue": "Axis is keeping track of how distance is changing." - }, - { - "start": "12:59.20", - "stop": "12:59.24", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "12:59.72", - "stop": "13:08.20", - "speaker": "Tutor", - "dialogue": "We're going to say one sentence altogether now from A to B. What is going on with distance, and what is going on with time?" - }, - { - "start": "13:08.64", - "stop": "13:10.36", - "speaker": "Tutor", - "dialogue": "And I will type what you say." - }, - { - "start": "13:14.20", - "stop": "13:14.44", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "13:14.56", - "stop": "13:26.36", - "speaker": "Tutor", - "dialogue": "Going to type what you say and you tell me what is going on with distance from A to Bb, and what is going on with time from A to B." - }, - { - "start": "13:28.64", - "stop": "13:28.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "13:34.72", - "stop": "13:35.20", - "speaker": "Tutor", - "dialogue": "What is what?" - }, - { - "start": "13:39.00", - "stop": "13:39.28", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "13:41.00", - "stop": "13:41.04", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "13:41.24", - "stop": "13:41.44", - "speaker": "Student", - "dialogue": "Think." - }, - { - "start": "13:41.56", - "stop": "13:43.76", - "speaker": "Tutor", - "dialogue": "Her, can you hear me now?" - }, - { - "start": "13:45.72", - "stop": "13:53.56", - "speaker": "Student", - "dialogue": "Yeahy, got it okay, so base point h to B is fifty mile for one hour." - }, - { - "start": "13:54.60", - "stop": "13:54.88", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "13:55.28", - "stop": "13:55.68", - "speaker": "Student", - "dialogue": "Increase." - }, - { - "start": "13:55.80", - "stop": "14:01.72", - "speaker": "Tutor", - "dialogue": "So from A to B is distance increasing, decreasing, or staying the same?" - }, - { - "start": "14:02.80", - "stop": "14:05.20", - "speaker": "Student", - "dialogue": "Increases by fifty mile." - }, - { - "start": "14:17.88", - "stop": "14:24.12", - "speaker": "Tutor", - "dialogue": "From A to B is distance increasing, decreasing, or staying the same." - }, - { - "start": "14:25.28", - "stop": "14:25.84", - "speaker": "Student", - "dialogue": "Increaseing." - }, - { - "start": "14:26.48", - "stop": "14:26.92", - "speaker": "Tutor", - "dialogue": "Okay, Sor" - }, - { - "start": "14:27.08", - "stop": "14:31.56", - "speaker": "Tutor", - "dialogue": "from A to B, distance is increasing by how much." - }, - { - "start": "14:32.96", - "stop": "14:34.08", - "speaker": "Student", - "dialogue": "By fifty miles." - }, - { - "start": "14:34.88", - "stop": "14:39.00", - "speaker": "Tutor", - "dialogue": "Nice, okay, coud, I capture what you were thinking." - }, - { - "start": "14:44.12", - "stop": "14:44.24", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "14:44.32", - "stop": "14:45.64", - "speaker": "Tutor", - "dialogue": "You see what I typed up here?" - }, - { - "start": "14:47.40", - "stop": "14:47.64", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "14:47.84", - "stop": "14:49.76", - "speaker": "Tutor", - "dialogue": "Is that correct, or do you want to revise anything?" - }, - { - "start": "14:50.76", - "stop": "14:51.48", - "speaker": "Student", - "dialogue": "A, I think so." - }, - { - "start": "14:52.36", - "stop": "14:53.40", - "speaker": "Tutor", - "dialogue": "Okay, now, keep going." - }, - { - "start": "14:53.56", - "stop": "14:54.72", - "speaker": "Tutor", - "dialogue": "What's going on with time?" - }, - { - "start": "14:56.64", - "stop": "14:59.92", - "speaker": "Student", - "dialogue": "The time, ah for one hour." - }, - { - "start": "15:00.92", - "stop": "15:04.88", - "speaker": "Tutor", - "dialogue": "What about one hour is time increasing, decreasing or staying?" - }, - { - "start": "15:11.20", - "stop": "15:11.24", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "15:16.64", - "stop": "15:16.68", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "15:16.96", - "stop": "15:17.36", - "speaker": "Student", - "dialogue": "Anything?" - }, - { - "start": "15:17.56", - "stop": "15:20.92", - "speaker": "Tutor", - "dialogue": "Else changing or staying the same from A to B." - }, - { - "start": "15:22.24", - "stop": "15:27.68", - "speaker": "Student", - "dialogue": "Ah to B, you say onli." - }, - { - "start": "15:29.16", - "stop": "15:31.68", - "speaker": "Tutor", - "dialogue": "Isnything else happening from A to B?" - }, - { - "start": "15:33.00", - "stop": "15:34.88", - "speaker": "Student", - "dialogue": "Ah, to B, not reallyi." - }, - { - "start": "15:39.92", - "stop": "15:41.20", - "speaker": "Tutor", - "dialogue": "Something is inconsistent." - }, - { - "start": "15:41.92", - "stop": "15:42.60", - "speaker": "Student", - "dialogue": "Yeah, consent." - }, - { - "start": "15:43.36", - "stop": "15:45.52", - "speaker": "Tutor", - "dialogue": "What is consistent or constant?" - }, - { - "start": "15:48.84", - "stop": "15:50.40", - "speaker": "Student", - "dialogue": "Likea fifty miles per hour." - }, - { - "start": "15:50.96", - "stop": "15:51.24", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "15:52.84", - "stop": "15:52.88", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "15:54.96", - "stop": "15:58.64", - "speaker": "Tutor", - "dialogue": "And fifty miles per hour is constant." - }, - { - "start": "16:01.04", - "stop": "16:01.08", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "16:01.28", - "stop": "16:04.20", - "speaker": "Tutor", - "dialogue": "Is fifty miles per hour keeping track of?" - }, - { - "start": "16:07.96", - "stop": "16:08.00", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "16:08.24", - "stop": "16:10.80", - "speaker": "Tutor", - "dialogue": "Does fifty miles per hour tell?" - }, - { - "start": "16:11.64", - "stop": "16:16.16", - "speaker": "Tutor", - "dialogue": "is that keeping track of the distance or the time or something else?" - }, - { - "start": "16:18.60", - "stop": "16:19.68", - "speaker": "Student", - "dialogue": "Timendition." - }, - { - "start": "16:20.40", - "stop": "16:27.20", - "speaker": "Tutor", - "dialogue": "Y, it's keeping track of the relationship together that tells us how fast the car is going." - }, - { - "start": "16:29.64", - "stop": "16:29.68", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "16:29.88", - "stop": "16:35.16", - "speaker": "Tutor", - "dialogue": "We could describe that as another purple powerword as the speed." - }, - { - "start": "16:38.72", - "stop": "16:39.08", - "speaker": "Student", - "dialogue": "Speed." - }, - { - "start": "16:41.28", - "stop": "16:47.04", - "speaker": "Tutor", - "dialogue": "So speed is something that we can keep track of in miles per hour." - }, - { - "start": "16:48.92", - "stop": "16:48.96", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "16:49.16", - "stop": "16:52.48", - "speaker": "Tutor", - "dialogue": "Cool, so from A to B, the distance is increasing." - }, - { - "start": "16:54.04", - "stop": "16:54.08", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "16:54.36", - "stop": "16:58.72", - "speaker": "Tutor", - "dialogue": "Time is increasing and the speed remains constant." - }, - { - "start": "17:00.56", - "stop": "17:00.88", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "17:01.32", - "stop": "17:03.64", - "speaker": "Tutor", - "dialogue": "Okay, what's going on from B to C?" - }, - { - "start": "17:05.20", - "stop": "17:11.96", - "speaker": "Student", - "dialogue": "B to C, it's like same to same, but the time's still going." - }, - { - "start": "17:13.32", - "stop": "17:17.40", - "speaker": "Tutor", - "dialogue": "Okay, so be specific with those purple power words and I will type again." - }, - { - "start": "17:18.00", - "stop": "17:18.04", - "speaker": "Tutor", - "dialogue": "What." - }, - { - "start": "17:18.48", - "stop": "17:18.52", - "speaker": "Tutor", - "dialogue": "S?" - }, - { - "start": "17:20.00", - "stop": "17:23.32", - "speaker": "Student", - "dialogue": "Sh, base me, G did nothing for thirty minutes." - }, - { - "start": "17:25.52", - "stop": "17:27.12", - "speaker": "Tutor", - "dialogue": "So what is increasing?" - }, - { - "start": "17:27.64", - "stop": "17:30.84", - "speaker": "Tutor", - "dialogue": "what is decreasing, and what is staying the same?" - }, - { - "start": "17:32.72", - "stop": "17:38.24", - "speaker": "Student", - "dialogue": "The distance is staying the same and the time increases by thirty minutes." - }, - { - "start": "17:47.92", - "stop": "17:50.20", - "speaker": "Tutor", - "dialogue": "I typed what I think you said." - }, - { - "start": "17:51.84", - "stop": "17:54.48", - "speaker": "Tutor", - "dialogue": "You read it and tell me if there's anything you want to change." - }, - { - "start": "17:55.92", - "stop": "17:56.60", - "speaker": "Student", - "dialogue": "What can he say?" - }, - { - "start": "17:56.64", - "stop": "17:59.16", - "speaker": "Student", - "dialogue": "Oh, Chan, Pcing, Oh." - }, - { - "start": "17:59.56", - "stop": "18:00.16", - "speaker": "Tutor", - "dialogue": "What did you say?" - }, - { - "start": "18:02.24", - "stop": "18:02.28", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "18:02.44", - "stop": "18:03.16", - "speaker": "Tutor", - "dialogue": "Distance is." - }, - { - "start": "18:04.20", - "stop": "18:05.04", - "speaker": "Student", - "dialogue": "Saying the same." - }, - { - "start": "18:06.28", - "stop": "18:06.64", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "18:13.92", - "stop": "18:14.00", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "18:14.12", - "stop": "18:14.96", - "speaker": "Tutor", - "dialogue": "Right, try that." - }, - { - "start": "18:17.88", - "stop": "18:17.92", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "18:18.44", - "stop": "18:18.92", - "speaker": "Tutor", - "dialogue": "You like that." - }, - { - "start": "18:20.04", - "stop": "18:20.08", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "18:21.04", - "stop": "18:21.96", - "speaker": "Tutor", - "dialogue": "What about speed?" - }, - { - "start": "18:22.68", - "stop": "18:24.76", - "speaker": "Tutor", - "dialogue": "What's going on with speed from B to C?" - }, - { - "start": "18:26.36", - "stop": "18:27.20", - "speaker": "Student", - "dialogue": "C to D." - }, - { - "start": "18:27.80", - "stop": "18:29.60", - "speaker": "Tutor", - "dialogue": "No from B to C." - }, - { - "start": "18:31.04", - "stop": "18:34.32", - "speaker": "Student", - "dialogue": "So basically they stop driving for thirty minutes." - }, - { - "start": "18:35.68", - "stop": "18:40.56", - "speaker": "Tutor", - "dialogue": "So how fast would the car be going, or what would the miles per hour be for?" - }, - { - "start": "18:44.60", - "stop": "18:44.64", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "18:45.48", - "stop": "18:48.52", - "speaker": "Tutor", - "dialogue": "The speed is zero miles." - }, - { - "start": "18:48.64", - "stop": "18:49.24", - "speaker": "Student", - "dialogue": "Per hour." - }, - { - "start": "18:53.56", - "stop": "18:54.40", - "speaker": "Tutor", - "dialogue": "Is that what you said?" - }, - { - "start": "18:55.32", - "stop": "18:55.36", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "18:55.88", - "stop": "18:57.32", - "speaker": "Tutor", - "dialogue": "All right, I'm going to pull it over here." - }, - { - "start": "18:58.76", - "stop": "19:02.52", - "speaker": "Tutor", - "dialogue": "You read it and tell me if your map." - }, - { - "start": "19:04.40", - "stop": "19:04.76", - "speaker": "Student", - "dialogue": "Shows." - }, - { - "start": "19:04.88", - "stop": "19:07.20", - "speaker": "Tutor", - "dialogue": "That same thing what you said in words." - }, - { - "start": "19:08.72", - "stop": "19:18.60", - "speaker": "Student", - "dialogue": "From beach, you see, the discan is saying the same, and the time increases by thirty minutes and the speed is still miled per hour." - }, - { - "start": "19:24.76", - "stop": "19:26.24", - "speaker": "Student", - "dialogue": "Yeah, I think it's okay, did." - }, - { - "start": "19:26.28", - "stop": "19:27.00", - "speaker": "Tutor", - "dialogue": "You think it's okay?" - }, - { - "start": "19:27.72", - "stop": "19:28.68", - "speaker": "Tutor", - "dialogue": "Y all right." - }, - { - "start": "19:29.32", - "stop": "19:36.68", - "speaker": "Tutor", - "dialogue": "So on your map here from A to B, you said that the distance increased by fifty miles." - }, - { - "start": "19:37.56", - "stop": "19:39.60", - "speaker": "Tutor", - "dialogue": "Yeah, so there's like fifty miles here." - }, - { - "start": "19:42.56", - "stop": "19:45.36", - "speaker": "Student", - "dialogue": "Oh yeah, the beast s shouldn't change." - }, - { - "start": "19:45.80", - "stop": "19:49.20", - "speaker": "Tutor", - "dialogue": "Oh, are you saying you want to revise something, or you want to keep it the same?" - }, - { - "start": "19:50.24", - "stop": "19:54.72", - "speaker": "Student", - "dialogue": "Uhh, I want to reboove the pencil Mok, and the point C." - }, - { - "start": "19:55.40", - "stop": "19:55.80", - "speaker": "Tutor", - "dialogue": "Where would?" - }, - { - "start": "19:56.32", - "stop": "19:56.36", - "speaker": "Student", - "dialogue": "P." - }, - { - "start": "19:57.48", - "stop": "19:58.96", - "speaker": "Tutor", - "dialogue": "Where would we put Point C. then?" - }, - { - "start": "20:00.08", - "stop": "20:02.12", - "speaker": "Student", - "dialogue": "Like same spot, S point B." - }, - { - "start": "20:04.00", - "stop": "20:06.92", - "speaker": "Tutor", - "dialogue": "Do you get to change your mind and revise in math?" - }, - { - "start": "20:08.44", - "stop": "20:08.68", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "20:09.40", - "stop": "20:13.68", - "speaker": "Tutor", - "dialogue": "Is it O K to change your mind and revise things when you're working in math?" - }, - { - "start": "20:14.88", - "stop": "20:17.24", - "speaker": "Student", - "dialogue": "Mathh, I'm not sure." - }, - { - "start": "20:17.92", - "stop": "20:34.68", - "speaker": "Tutor", - "dialogue": "It absolutely is, You just did it, so you try some things and you're like, Oh wait, I want to change my mind, And that's part of problem solving, so you can change your mind all the time in math, and you can revise your thinking and your work." - }, - { - "start": "20:37.68", - "stop": "20:37.72", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "20:38.24", - "stop": "20:39.68", - "speaker": "Tutor", - "dialogue": "Absolutely, that's powerful." - }, - { - "start": "20:42.80", - "stop": "20:42.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "20:43.12", - "stop": "20:47.20", - "speaker": "Tutor", - "dialogue": "As for working, if you want to revise or change anything, you can do that all the time." - }, - { - "start": "20:48.92", - "stop": "20:48.96", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "20:49.16", - "stop": "20:53.96", - "speaker": "Tutor", - "dialogue": "Continue to do that when you're in math classes, too, give yourself permission to change your mind." - }, - { - "start": "20:57.60", - "stop": "20:57.72", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "20:57.84", - "stop": "21:00.84", - "speaker": "Tutor", - "dialogue": "Right, what's happening from C to D?" - }, - { - "start": "21:03.00", - "stop": "21:08.76", - "speaker": "Student", - "dialogue": "C, D, Ah, fifty to a hundred." - }, - { - "start": "21:11.44", - "stop": "21:24.08", - "speaker": "Student", - "dialogue": "So the distance Um from C to D Distan distance is increasing by fifty miles, and the time is also increasing by an hour." - }, - { - "start": "21:25.08", - "stop": "21:26.32", - "speaker": "Student", - "dialogue": "Yeah, almost an hour." - }, - { - "start": "21:27.16", - "stop": "21:29.44", - "speaker": "Tutor", - "dialogue": "Nice, and what's happening with the speed?" - }, - { - "start": "21:31.24", - "stop": "21:31.28", - "speaker": "Student", - "dialogue": "S." - }, - { - "start": "21:32.28", - "stop": "21:35.84", - "speaker": "Tutor", - "dialogue": "What happens with the speed from C, Ditdy?" - }, - { - "start": "21:37.28", - "stop": "21:38.44", - "speaker": "Student", - "dialogue": "A increases." - }, - { - "start": "21:40.40", - "stop": "21:41.36", - "speaker": "Tutor", - "dialogue": "From what, to what?" - }, - { - "start": "21:43.16", - "stop": "21:48.40", - "speaker": "Student", - "dialogue": "A fifty miles for per hour." - }, - { - "start": "21:50.12", - "stop": "21:57.64", - "speaker": "Tutor", - "dialogue": "Is the car going fifty miles per hour this entire section of the trip or does the speed change at all?" - }, - { - "start": "21:59.28", - "stop": "22:01.76", - "speaker": "Student", - "dialogue": "Doest look constant like?" - }, - { - "start": "22:03.00", - "stop": "22:09.40", - "speaker": "Tutor", - "dialogue": "Y, it's constant, so the car travels at a constant rate that entire section of the trip also." - }, - { - "start": "22:11.72", - "stop": "22:11.76", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "22:12.08", - "stop": "22:17.80", - "speaker": "Tutor", - "dialogue": "Label it somehow, you can type the way I was typing, or you can draw or write." - }, - { - "start": "22:19.92", - "stop": "22:19.96", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "22:20.36", - "stop": "22:23.24", - "speaker": "Tutor", - "dialogue": "You label what's going on from C to D." - }, - { - "start": "22:25.12", - "stop": "22:28.48", - "speaker": "Student", - "dialogue": "C to D, straight line." - }, - { - "start": "22:32.64", - "stop": "22:34.52", - "speaker": "Tutor", - "dialogue": "You did a good job of using your purple" - }, - { - "start": "22:34.60", - "stop": "22:35.88", - "speaker": "Tutor", - "dialogue": "power words a minute ago." - }, - { - "start": "22:37.04", - "stop": "22:39.72", - "speaker": "Tutor", - "dialogue": "Now use labels to describe what you were saying." - }, - { - "start": "22:40.32", - "stop": "22:42.60", - "speaker": "Tutor", - "dialogue": "You told me how the distance was increasing." - }, - { - "start": "22:43.24", - "stop": "22:48.52", - "speaker": "Tutor", - "dialogue": "you told me how the time was changing and you told me what was going on with the speed." - }, - { - "start": "22:53.56", - "stop": "22:55.76", - "speaker": "Student", - "dialogue": "The speeds like fiftyles per hour." - }, - { - "start": "22:56.12", - "stop": "22:57.24", - "speaker": "Tutor", - "dialogue": "Cool label that." - }, - { - "start": "23:17.16", - "stop": "23:28.96", - "speaker": "Student", - "dialogue": "From C, from on I, ing in." - }, - { - "start": "23:29.88", - "stop": "23:35.48", - "speaker": "Tutor", - "dialogue": "You're going to describe what's happening from C to D. thinking about those purple power words." - }, - { - "start": "23:36.08", - "stop": "23:38.08", - "speaker": "Tutor", - "dialogue": "How are things changing?" - }, - { - "start": "23:41.64", - "stop": "23:42.76", - "speaker": "Student", - "dialogue": "Why did it disappear?" - }, - { - "start": "23:43.32", - "stop": "23:43.52", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "23:43.60", - "stop": "23:44.52", - "speaker": "Tutor", - "dialogue": "It might have gone under this." - }, - { - "start": "23:44.64", - "stop": "23:46.00", - "speaker": "Tutor", - "dialogue": "Let me see if I can pull it for you." - }, - { - "start": "23:46.52", - "stop": "23:47.24", - "speaker": "Student", - "dialogue": "There do you got?" - }, - { - "start": "23:47.36", - "stop": "23:47.40", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "23:51.24", - "stop": "23:51.48", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "23:51.96", - "stop": "23:53.28", - "speaker": "Tutor", - "dialogue": "You uncovered the other one here." - }, - { - "start": "23:53.32", - "stop": "23:54.04", - "speaker": "Tutor", - "dialogue": "I'll move it for you." - }, - { - "start": "23:55.52", - "stop": "23:55.72", - "speaker": "Student", - "dialogue": "Got?" - }, - { - "start": "23:55.76", - "stop": "23:56.88", - "speaker": "Tutor", - "dialogue": "It you see where I put it?" - }, - { - "start": "23:57.68", - "stop": "23:58.08", - "speaker": "Student", - "dialogue": "I got it." - }, - { - "start": "23:58.60", - "stop": "24:03.84", - "speaker": "Tutor", - "dialogue": "Okay, so I see from point C to point Dfy, ho." - }, - { - "start": "24:07.68", - "stop": "24:07.72", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "24:07.80", - "stop": "24:10.12", - "speaker": "Tutor", - "dialogue": "It staying the same at fifty miles per hour." - }, - { - "start": "24:18.36", - "stop": "24:18.84", - "speaker": "Student", - "dialogue": "Fifty." - }, - { - "start": "24:33.20", - "stop": "24:40.60", - "speaker": "Tutor", - "dialogue": "Let's see from point C to point D. the distance is increasing by fifty minutes and is also increasing." - }, - { - "start": "24:40.68", - "stop": "24:41.68", - "speaker": "Tutor", - "dialogue": "Ah, you want to revise?" - }, - { - "start": "24:41.92", - "stop": "24:42.88", - "speaker": "Tutor", - "dialogue": "Do you get to revise?" - }, - { - "start": "24:44.64", - "stop": "24:44.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "24:45.64", - "stop": "24:50.80", - "speaker": "Tutor", - "dialogue": "Okay, the distance is increasing by fifty miles and the time is also increasing." - }, - { - "start": "24:51.60", - "stop": "24:54.24", - "speaker": "Tutor", - "dialogue": "Do you know how much the time is also increasing by?" - }, - { - "start": "24:55.40", - "stop": "24:57.72", - "speaker": "Student", - "dialogue": "It's a, It's like almost an hour." - }, - { - "start": "24:58.16", - "stop": "25:00.00", - "speaker": "Tutor", - "dialogue": "Okay, you can estimate it to be an hour." - }, - { - "start": "25:00.12", - "stop": "25:00.56", - "speaker": "Tutor", - "dialogue": "That's fine." - }, - { - "start": "25:01.88", - "stop": "25:01.92", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "25:25.32", - "stop": "25:29.56", - "speaker": "Tutor", - "dialogue": "And oh, and then fifty miles per hour is beautiful." - }, - { - "start": "25:30.12", - "stop": "25:37.64", - "speaker": "Tutor", - "dialogue": "You did a great job of explaining how all these different things are either changing or staying the same in that section." - }, - { - "start": "25:39.72", - "stop": "25:39.88", - "speaker": "Student", - "dialogue": "An." - }, - { - "start": "25:40.20", - "stop": "25:44.08", - "speaker": "Tutor", - "dialogue": "Time you are working on graphs, remember to think like this." - }, - { - "start": "25:45.04", - "stop": "25:48.76", - "speaker": "Tutor", - "dialogue": "Think with these purple power words, and what is changing?" - }, - { - "start": "25:49.60", - "stop": "25:50.68", - "speaker": "Tutor", - "dialogue": "How is it changing?" - }, - { - "start": "25:51.28", - "stop": "25:54.40", - "speaker": "Tutor", - "dialogue": "And how are they changing in relationship to each other?" - }, - { - "start": "25:55.80", - "stop": "25:55.84", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "25:56.36", - "stop": "25:57.40", - "speaker": "Tutor", - "dialogue": "It so cool." - }, - { - "start": "25:57.64", - "stop": "25:59.76", - "speaker": "Tutor", - "dialogue": "Okay, D to E gets a little tricky." - }, - { - "start": "26:00.28", - "stop": "26:01.80", - "speaker": "Tutor", - "dialogue": "What's going on with D to E?" - }, - { - "start": "26:02.92", - "stop": "26:14.76", - "speaker": "Student", - "dialogue": "Are the diition changing like it's either increasing or decreasing?" - }, - { - "start": "26:19.20", - "stop": "26:19.24", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "26:19.44", - "stop": "26:19.68", - "speaker": "Student", - "dialogue": "About." - }, - { - "start": "26:19.76", - "stop": "26:20.20", - "speaker": "Tutor", - "dialogue": "The time?" - }, - { - "start": "26:21.40", - "stop": "26:25.12", - "speaker": "Student", - "dialogue": "The time I think I feel like Stn" - }, - { - "start": "26:25.20", - "stop": "26:25.76", - "speaker": "Student", - "dialogue": "constant." - }, - { - "start": "26:26.96", - "stop": "26:29.24", - "speaker": "Tutor", - "dialogue": "The time continues to increase, huh?" - }, - { - "start": "26:31.12", - "stop": "26:31.28", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "26:31.44", - "stop": "26:32.28", - "speaker": "Tutor", - "dialogue": "Is it bumpy here?" - }, - { - "start": "26:32.48", - "stop": "26:33.84", - "speaker": "Tutor", - "dialogue": "Something is not constant." - }, - { - "start": "26:35.80", - "stop": "26:36.40", - "speaker": "Student", - "dialogue": "The curves." - }, - { - "start": "26:38.92", - "stop": "26:41.12", - "speaker": "Tutor", - "dialogue": "What makes the graph bumpy?" - }, - { - "start": "26:42.36", - "stop": "26:48.64", - "speaker": "Student", - "dialogue": "Bumpy, uh, like start, increase or decrease something." - }, - { - "start": "26:48.76", - "stop": "26:50.12", - "speaker": "Tutor", - "dialogue": "Like that, Yeah, what?" - }, - { - "start": "26:50.68", - "stop": "26:53.52", - "speaker": "Tutor", - "dialogue": "what is starting to increase or decrease?" - }, - { - "start": "26:54.76", - "stop": "26:55.24", - "speaker": "Student", - "dialogue": "The curve." - }, - { - "start": "26:56.80", - "stop": "27:05.04", - "speaker": "Tutor", - "dialogue": "Does that curve represent distance, time, or speedance?" - }, - { - "start": "27:13.24", - "stop": "27:14.84", - "speaker": "Student", - "dialogue": "Youn feel like a disting." - }, - { - "start": "27:16.80", - "stop": "27:18.00", - "speaker": "Tutor", - "dialogue": "So let's look over here." - }, - { - "start": "27:19.24", - "stop": "27:19.76", - "speaker": "Tutor", - "dialogue": "How much?" - }, - { - "start": "27:21.80", - "stop": "27:21.84", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "27:22.04", - "stop": "27:22.40", - "speaker": "Tutor", - "dialogue": "The car." - }, - { - "start": "27:24.32", - "stop": "27:24.44", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "27:24.56", - "stop": "27:27.04", - "speaker": "Tutor", - "dialogue": "Much is distance changing from D to e." - }, - { - "start": "27:28.88", - "stop": "27:31.24", - "speaker": "Student", - "dialogue": "Around like a hundred and forty." - }, - { - "start": "27:34.36", - "stop": "27:38.92", - "speaker": "Tutor", - "dialogue": "So from D to E, the car has traveled a hundred and forty miles." - }, - { - "start": "27:39.60", - "stop": "27:43.56", - "speaker": "Student", - "dialogue": "Yeah, I mean forty mile, okay?" - }, - { - "start": "27:44.08", - "stop": "27:55.24", - "speaker": "Tutor", - "dialogue": "So the car has increased a distance of forty miles, and time is also increasing, but something is not constant." - }, - { - "start": "27:56.56", - "stop": "27:56.76", - "speaker": "Student", - "dialogue": "Over." - }, - { - "start": "27:56.88", - "stop": "27:58.44", - "speaker": "Tutor", - "dialogue": "Here you said." - }, - { - "start": "28:00.84", - "stop": "28:00.88", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "28:01.00", - "stop": "28:03.88", - "speaker": "Tutor", - "dialogue": "Car's going fifty miles per hour and it's constant." - }, - { - "start": "28:06.64", - "stop": "28:06.68", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "28:06.92", - "stop": "28:08.96", - "speaker": "Tutor", - "dialogue": "The speed also constant here." - }, - { - "start": "28:09.92", - "stop": "28:12.24", - "speaker": "Student", - "dialogue": "No something changing." - }, - { - "start": "28:12.76", - "stop": "28:13.84", - "speaker": "Tutor", - "dialogue": "Yeah, what's changing?" - }, - { - "start": "28:15.08", - "stop": "28:15.88", - "speaker": "Student", - "dialogue": "Mm, I wonder." - }, - { - "start": "28:16.12", - "stop": "28:18.80", - "speaker": "Student", - "dialogue": "Ah, I think Miles decon." - }, - { - "start": "28:20.84", - "stop": "28:20.88", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "28:23.24", - "stop": "28:25.96", - "speaker": "Student", - "dialogue": "Descon, or time or both?" - }, - { - "start": "28:26.36", - "stop": "28:26.40", - "speaker": "Tutor", - "dialogue": "Or" - }, - { - "start": "28:26.56", - "stop": "28:26.84", - "speaker": "Tutor", - "dialogue": "both?" - }, - { - "start": "28:26.96", - "stop": "28:29.44", - "speaker": "Tutor", - "dialogue": "what about the relationship between distance or time?" - }, - { - "start": "28:30.20", - "stop": "28:31.80", - "speaker": "Tutor", - "dialogue": "Since we talk about that as speed." - }, - { - "start": "28:33.72", - "stop": "28:34.00", - "speaker": "Student", - "dialogue": "The re." - }, - { - "start": "28:34.44", - "stop": "28:37.84", - "speaker": "Student", - "dialogue": "I feel like, Um, the relationship is changingwll." - }, - { - "start": "28:38.60", - "stop": "28:39.92", - "speaker": "Tutor", - "dialogue": "I feel like that way too." - }, - { - "start": "28:40.04", - "stop": "28:40.60", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "28:40.80", - "stop": "28:52.48", - "speaker": "Tutor", - "dialogue": "Yeah, here, from A to B, the car is travelling at a constant speed, Then the car stops, then a constant speed, and then what happens with a speed here?" - }, - { - "start": "28:53.52", - "stop": "28:54.28", - "speaker": "Student", - "dialogue": "Keep changing." - }, - { - "start": "28:54.72", - "stop": "28:54.76", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "28:56.56", - "stop": "28:56.72", - "speaker": "Student", - "dialogue": "It's" - }, - { - "start": "28:56.80", - "stop": "29:01.28", - "speaker": "Tutor", - "dialogue": "Like that car, stopping and going, stopping and going, or speeding up and slowing down?" - }, - { - "start": "29:03.12", - "stop": "29:03.56", - "speaker": "Student", - "dialogue": "Interesting." - }, - { - "start": "29:04.40", - "stop": "29:05.80", - "speaker": "Tutor", - "dialogue": "You are a powerful thinker." - }, - { - "start": "29:06.00", - "stop": "29:07.28", - "speaker": "Tutor", - "dialogue": "I have another question for you." - }, - { - "start": "29:08.84", - "stop": "29:11.16", - "speaker": "Tutor", - "dialogue": "From point A to B On the map." - }, - { - "start": "29:12.16", - "stop": "29:13.24", - "speaker": "Tutor", - "dialogue": "It's a curvey line." - }, - { - "start": "29:14.88", - "stop": "29:15.04", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "29:15.12", - "stop": "29:16.88", - "speaker": "Tutor", - "dialogue": "Point A to B on the graph." - }, - { - "start": "29:17.24", - "stop": "29:18.24", - "speaker": "Tutor", - "dialogue": "It's a straight line." - }, - { - "start": "29:20.20", - "stop": "29:20.32", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "29:20.44", - "stop": "29:20.68", - "speaker": "Tutor", - "dialogue": "Come." - }, - { - "start": "29:23.00", - "stop": "29:27.40", - "speaker": "Student", - "dialogue": "Ah, you just have to move the same distance." - }, - { - "start": "29:31.28", - "stop": "29:32.64", - "speaker": "Tutor", - "dialogue": "Take some time to think about that." - }, - { - "start": "29:32.92", - "stop": "29:38.96", - "speaker": "Tutor", - "dialogue": "What is the lion on the map representing, and what is the lion on the graph representing?" - }, - { - "start": "29:44.00", - "stop": "29:44.20", - "speaker": "Student", - "dialogue": "Well." - }, - { - "start": "29:44.24", - "stop": "29:45.80", - "speaker": "Tutor", - "dialogue": "They both represent distance." - }, - { - "start": "29:46.52", - "stop": "29:46.56", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "29:47.96", - "stop": "29:49.88", - "speaker": "Tutor", - "dialogue": "So how come they're not the same Sh?" - }, - { - "start": "29:55.08", - "stop": "29:55.20", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "29:55.28", - "stop": "29:56.12", - "speaker": "Tutor", - "dialogue": "Don't they have to be?" - }, - { - "start": "30:01.60", - "stop": "30:01.64", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "30:01.84", - "stop": "30:02.08", - "speaker": "Tutor", - "dialogue": "Map." - }, - { - "start": "30:04.32", - "stop": "30:04.36", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "30:04.56", - "stop": "30:20.80", - "speaker": "Tutor", - "dialogue": "Keeping track of the road, so it's like the shape of the road, and we know if there's turns or not, but you've done a good job over here, explaining that the graph is keeping track of the relationship between the miles and hours." - }, - { - "start": "30:21.68", - "stop": "30:29.08", - "speaker": "Tutor", - "dialogue": "So is it possible for us to drive on a curby road at a constant speed of fifty miles per hour?" - }, - { - "start": "30:29.76", - "stop": "30:30.28", - "speaker": "Student", - "dialogue": "Y pos." - }, - { - "start": "30:30.76", - "stop": "30:31.60", - "speaker": "Tutor", - "dialogue": "It is possible." - }, - { - "start": "30:33.68", - "stop": "30:33.80", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "30:33.92", - "stop": "30:36.92", - "speaker": "Tutor", - "dialogue": "Right, let's try one more thing." - }, - { - "start": "30:37.00", - "stop": "30:39.12", - "speaker": "Tutor", - "dialogue": "I'm going to have you make a prediction on a graph." - }, - { - "start": "30:41.24", - "stop": "30:41.28", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "30:41.52", - "stop": "30:48.00", - "speaker": "Tutor", - "dialogue": "You're going to create your own graph now, and on this graph you're going to keep track of speed." - }, - { - "start": "30:53.36", - "stop": "30:53.40", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "30:53.64", - "stop": "30:59.84", - "speaker": "Tutor", - "dialogue": "Journey, and how much time is the car going at that speed?" - }, - { - "start": "31:06.88", - "stop": "31:08.64", - "speaker": "Student", - "dialogue": "O, I make my own graph, right?" - }, - { - "start": "31:08.88", - "stop": "31:09.08", - "speaker": "Tutor", - "dialogue": "Yup." - }, - { - "start": "31:10.40", - "stop": "31:14.12", - "speaker": "Student", - "dialogue": "It does it have to be Um, the same data as the other graph." - }, - { - "start": "31:14.60", - "stop": "31:16.60", - "speaker": "Tutor", - "dialogue": "Great, Yes, it does." - }, - { - "start": "31:16.96", - "stop": "31:18.44", - "speaker": "Tutor", - "dialogue": "You're graph the same S." - }, - { - "start": "31:40.96", - "stop": "31:42.28", - "speaker": "Student", - "dialogue": "Doesn't have to be personal." - }, - { - "start": "31:42.96", - "stop": "31:45.72", - "speaker": "Tutor", - "dialogue": "No, it's just a sketch, so you jus do your best." - }, - { - "start": "32:30.52", - "stop": "33:18.68", - "speaker": "Student", - "dialogue": "I lok sure now I've got to draw on line right well." - }, - { - "start": "33:18.72", - "stop": "33:19.68", - "speaker": "Tutor", - "dialogue": "I'll have a question for you." - }, - { - "start": "33:21.52", - "stop": "33:21.56", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "33:22.28", - "stop": "33:24.24", - "speaker": "Tutor", - "dialogue": "Is this axis keeping track of?" - }, - { - "start": "33:27.96", - "stop": "33:28.00", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "33:28.24", - "stop": "33:31.60", - "speaker": "Tutor", - "dialogue": "You're saying the time goes from one to four hours?" - }, - { - "start": "33:32.80", - "stop": "33:34.72", - "speaker": "Tutor", - "dialogue": "What is this axis keeping track of?" - }, - { - "start": "33:36.00", - "stop": "33:37.00", - "speaker": "Student", - "dialogue": "Ondsenchp." - }, - { - "start": "33:38.20", - "stop": "33:40.32", - "speaker": "Tutor", - "dialogue": "Not distance, just the speed." - }, - { - "start": "33:41.96", - "stop": "33:42.00", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "33:42.60", - "stop": "33:47.52", - "speaker": "Tutor", - "dialogue": "So anywhere along the trip is the car going a hundred and fifty miles per hour?" - }, - { - "start": "33:48.96", - "stop": "33:49.12", - "speaker": "Student", - "dialogue": "Na." - }, - { - "start": "33:52.40", - "stop": "33:54.44", - "speaker": "Tutor", - "dialogue": "What's the fastest you think the car goes?" - }, - { - "start": "33:56.24", - "stop": "33:59.84", - "speaker": "Student", - "dialogue": "Fastt, Yeah, fifty miles fifty." - }, - { - "start": "34:03.32", - "stop": "34:03.64", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "34:04.04", - "stop": "34:04.08", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "34:04.44", - "stop": "34:04.96", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "34:11.92", - "stop": "35:09.68", - "speaker": "Student", - "dialogue": "Do bas like this, Then go on and go go hundred three two E kirbe ya." - }, - { - "start": "35:09.84", - "stop": "35:11.20", - "speaker": "Student", - "dialogue": "something like that, Okay?" - }, - { - "start": "35:11.76", - "stop": "35:14.64", - "speaker": "Tutor", - "dialogue": "Can you label A and B on your graph?" - }, - { - "start": "35:20.16", - "stop": "35:20.20", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "35:20.44", - "stop": "35:20.48", - "speaker": "Tutor", - "dialogue": "E" - }, - { - "start": "35:21.00", - "stop": "35:22.48", - "speaker": "Tutor", - "dialogue": "just do A and B for right now." - }, - { - "start": "35:23.04", - "stop": "35:24.08", - "speaker": "Tutor", - "dialogue": "So on blue." - }, - { - "start": "35:25.80", - "stop": "35:26.08", - "speaker": "Student", - "dialogue": "This is." - }, - { - "start": "35:26.32", - "stop": "35:28.08", - "speaker": "Tutor", - "dialogue": "What you said earlier about A to B?" - }, - { - "start": "35:28.64", - "stop": "35:29.68", - "speaker": "Tutor", - "dialogue": "Can you read it out loud?" - }, - { - "start": "35:31.28", - "stop": "35:34.72", - "speaker": "Student", - "dialogue": "Yeah, wait, I can it do something wrong?" - }, - { - "start": "35:37.60", - "stop": "35:37.64", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "35:37.68", - "stop": "35:38.00", - "speaker": "Student", - "dialogue": "Don't know." - }, - { - "start": "35:39.84", - "stop": "35:42.80", - "speaker": "Student", - "dialogue": "it can't be like a hundred and fifty mile per hour." - }, - { - "start": "35:43.12", - "stop": "35:43.40", - "speaker": "Student", - "dialogue": "Oh?" - }, - { - "start": "35:45.12", - "stop": "35:45.56", - "speaker": "Tutor", - "dialogue": "Interesting." - }, - { - "start": "35:47.80", - "stop": "35:49.32", - "speaker": "Student", - "dialogue": "The, there's something wrong, Yeah?" - }, - { - "start": "35:54.52", - "stop": "35:54.68", - "speaker": "Tutor", - "dialogue": "Mm." - }, - { - "start": "35:54.80", - "stop": "36:00.88", - "speaker": "Student", - "dialogue": "Thk you, then keep going up." - }, - { - "start": "36:03.96", - "stop": "36:04.28", - "speaker": "Student", - "dialogue": "Try and." - }, - { - "start": "36:04.68", - "stop": "36:07.96", - "speaker": "Tutor", - "dialogue": "Try something else that you think makes sense right now and we can always revise it." - }, - { - "start": "36:18.24", - "stop": "36:19.52", - "speaker": "Student", - "dialogue": "Does it can it be like?" - }, - { - "start": "36:19.72", - "stop": "36:23.00", - "speaker": "Student", - "dialogue": "Go backwards doesn't change anything." - }, - { - "start": "36:23.16", - "stop": "36:24.28", - "speaker": "Tutor", - "dialogue": "How can grass do that?" - }, - { - "start": "36:24.40", - "stop": "36:25.36", - "speaker": "Tutor", - "dialogue": "Can they go backwards?" - }, - { - "start": "36:26.28", - "stop": "36:28.48", - "speaker": "Student", - "dialogue": "In't no, s don't can." - }, - { - "start": "36:29.12", - "stop": "36:41.32", - "speaker": "Tutor", - "dialogue": "They can, We may not see M like that very often in school, but Graps certainly can do that because Graps are keeping track of how these two things are changing together, and maybe something is decreasing." - }, - { - "start": "36:45.56", - "stop": "37:10.92", - "speaker": "Student", - "dialogue": "Top, S and is only fifty mileer hour, so go on that and C, t, d N don't know what to do for D to F." - }, - { - "start": "37:14.24", - "stop": "37:14.72", - "speaker": "Tutor", - "dialogue": "Y, caause." - }, - { - "start": "37:14.76", - "stop": "37:16.68", - "speaker": "Tutor", - "dialogue": "it's not a constant speed, is it?" - }, - { - "start": "37:18.00", - "stop": "37:18.04", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "37:18.40", - "stop": "37:23.08", - "speaker": "Tutor", - "dialogue": "So is the speed increasing, decreasing or staying the same from D to f?" - }, - { - "start": "37:25.52", - "stop": "37:33.44", - "speaker": "Student", - "dialogue": "D to f, Yt not constant and it's either stopping or increasing." - }, - { - "start": "37:33.92", - "stop": "37:41.36", - "speaker": "Tutor", - "dialogue": "Okay, so how can you show the speed stopping and then increasing, stopping, and then increasing?" - }, - { - "start": "37:43.52", - "stop": "37:51.76", - "speaker": "Student", - "dialogue": "Oh, you can just do the I don't know how tos work." - }, - { - "start": "37:54.56", - "stop": "37:59.72", - "speaker": "Tutor", - "dialogue": "Way to go, way to take a risk, So cool, way to take a risk and." - }, - { - "start": "38:05.04", - "stop": "38:05.28", - "speaker": "Student", - "dialogue": "That's" - }, - { - "start": "38:05.36", - "stop": "38:05.76", - "speaker": "Tutor", - "dialogue": "Awesome." - }, - { - "start": "38:10.72", - "stop": "38:10.92", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "38:11.52", - "stop": "38:18.08", - "speaker": "Tutor", - "dialogue": "We're going to look at just points A and B and the section of the trip from A to B." - }, - { - "start": "38:19.56", - "stop": "38:20.56", - "speaker": "Student", - "dialogue": "A to b, Y." - }, - { - "start": "38:23.56", - "stop": "38:23.60", - "speaker": "Tutor", - "dialogue": "We." - }, - { - "start": "38:23.76", - "stop": "38:23.80", - "speaker": "Student", - "dialogue": "Have?" - }, - { - "start": "38:23.96", - "stop": "38:25.40", - "speaker": "Tutor", - "dialogue": "A to B over here on the map." - }, - { - "start": "38:26.52", - "stop": "38:26.56", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "38:27.08", - "stop": "38:28.40", - "speaker": "Tutor", - "dialogue": "A to B on this graph." - }, - { - "start": "38:30.96", - "stop": "38:31.16", - "speaker": "Student", - "dialogue": "Some." - }, - { - "start": "38:31.28", - "stop": "38:34.56", - "speaker": "Tutor", - "dialogue": "Words that you used to describe what was going on from A to B." - }, - { - "start": "38:36.68", - "stop": "38:36.72", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "38:36.88", - "stop": "38:44.92", - "speaker": "Tutor", - "dialogue": "Inn your prediction of what the graph would look like over here from A to B if we're talking about speed and time." - }, - { - "start": "38:45.92", - "stop": "38:47.28", - "speaker": "Student", - "dialogue": "It's almost the same." - }, - { - "start": "38:47.88", - "stop": "38:49.04", - "speaker": "Tutor", - "dialogue": "It is almost the same." - }, - { - "start": "38:49.24", - "stop": "38:49.92", - "speaker": "Tutor", - "dialogue": "Tell me about it." - }, - { - "start": "38:50.80", - "stop": "38:55.76", - "speaker": "Student", - "dialogue": "Like the lines are like shight, and almost constant with a B." - }, - { - "start": "38:58.44", - "stop": "39:01.88", - "speaker": "Tutor", - "dialogue": "What did you tell me about speed from A to B earlier?" - }, - { - "start": "39:03.68", - "stop": "39:12.36", - "speaker": "Student", - "dialogue": "Um, fifty miles per hour and a constant and distant ocean increasing by fifty mile." - }, - { - "start": "39:13.52", - "stop": "39:23.84", - "speaker": "Tutor", - "dialogue": "So if the speed is constant from A to B, that means the car is travelling at the same speed that whole section from A to B." - }, - { - "start": "39:24.64", - "stop": "39:24.96", - "speaker": "Student", - "dialogue": "Correct." - }, - { - "start": "39:26.60", - "stop": "39:30.60", - "speaker": "Tutor", - "dialogue": "And you said the car's going fifty miles per hour from A to." - }, - { - "start": "39:30.72", - "stop": "39:30.76", - "speaker": "Student", - "dialogue": "B." - }, - { - "start": "39:32.48", - "stop": "39:34.96", - "speaker": "Tutor", - "dialogue": "So that means ten minutes into the trip." - }, - { - "start": "39:36.08", - "stop": "39:36.12", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "39:36.20", - "stop": "39:37.80", - "speaker": "Tutor", - "dialogue": "Car's going fifty miles per hour." - }, - { - "start": "39:39.16", - "stop": "39:40.32", - "speaker": "Tutor", - "dialogue": "Thirty minutes into the trip." - }, - { - "start": "39:40.68", - "stop": "39:42.40", - "speaker": "Tutor", - "dialogue": "The car's going fifty miles per hour." - }, - { - "start": "39:43.84", - "stop": "39:44.00", - "speaker": "Student", - "dialogue": "Over." - }, - { - "start": "39:44.16", - "stop": "39:44.36", - "speaker": "Tutor", - "dialogue": "Here." - }, - { - "start": "39:48.44", - "stop": "39:48.68", - "speaker": "Student", - "dialogue": "Thirty." - }, - { - "start": "39:48.76", - "stop": "39:49.68", - "speaker": "Tutor", - "dialogue": "Minutes into the trip." - }, - { - "start": "39:51.12", - "stop": "39:51.24", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "39:51.36", - "stop": "39:52.44", - "speaker": "Tutor", - "dialogue": "Fast is the car going?" - }, - { - "start": "39:54.04", - "stop": "39:54.72", - "speaker": "Student", - "dialogue": "Thirty minutes." - }, - { - "start": "39:55.76", - "stop": "39:57.24", - "speaker": "Tutor", - "dialogue": "Yeah, cause if this is an hour." - }, - { - "start": "39:58.28", - "stop": "39:59.68", - "speaker": "Student", - "dialogue": "Si doesn't move." - }, - { - "start": "40:00.64", - "stop": "40:02.00", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "40:02.12", - "stop": "40:04.92", - "speaker": "Student", - "dialogue": "Right there, car." - }, - { - "start": "40:05.76", - "stop": "40:09.52", - "speaker": "Student", - "dialogue": "Yeah, like twentyfour twenty five miles." - }, - { - "start": "40:10.12", - "stop": "40:10.16", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "40:10.64", - "stop": "40:16.00", - "speaker": "Tutor", - "dialogue": "Maybe about twenty-five miles on your graph, but I thought the car was going fifty miles per hour." - }, - { - "start": "40:17.28", - "stop": "40:21.76", - "speaker": "Student", - "dialogue": "Goes just half an hour or so, twenty-five mile for thirty minutes." - }, - { - "start": "40:22.60", - "stop": "40:29.48", - "speaker": "Tutor", - "dialogue": "But you said it was going fifty miles per hour at a constant rate, so it was going fifty miles per hour." - }, - { - "start": "40:30.68", - "stop": "40:30.72", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "40:31.28", - "stop": "40:33.84", - "speaker": "Tutor", - "dialogue": "The entire time from A to B." - }, - { - "start": "40:40.28", - "stop": "40:40.44", - "speaker": "Student", - "dialogue": "Which?" - }, - { - "start": "40:40.52", - "stop": "40:41.20", - "speaker": "Tutor", - "dialogue": "One can it be." - }, - { - "start": "40:43.80", - "stop": "40:43.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "40:44.08", - "stop": "40:44.68", - "speaker": "Tutor", - "dialogue": "Which is it?" - }, - { - "start": "40:45.44", - "stop": "40:52.40", - "speaker": "Tutor", - "dialogue": "can the car be going twenty-five miles an hour, and fifty miles an hour, thirty minutes into the trip." - }, - { - "start": "40:53.52", - "stop": "40:55.76", - "speaker": "Student", - "dialogue": "Wait, what did you say and what Ha stacked off for?" - }, - { - "start": "40:56.04", - "stop": "40:56.44", - "speaker": "Student", - "dialogue": "Is it like?" - }, - { - "start": "40:57.72", - "stop": "41:04.00", - "speaker": "Tutor", - "dialogue": "That's the dot where I was wondering on your graph what is happening thirty minutes into the trip." - }, - { - "start": "41:05.32", - "stop": "41:17.24", - "speaker": "Student", - "dialogue": "Thirty minutes, oh, um, our sixty minutes, Divid by fifty, Ah." - }, - { - "start": "41:17.32", - "stop": "41:18.96", - "speaker": "Tutor", - "dialogue": "So you think you might have to do something with that?" - }, - { - "start": "41:19.92", - "stop": "41:21.56", - "speaker": "Student", - "dialogue": "Yeah, got it from No." - }, - { - "start": "41:22.12", - "stop": "41:23.96", - "speaker": "Tutor", - "dialogue": "Cool, We're gona stop right there." - }, - { - "start": "41:24.52", - "stop": "41:28.20", - "speaker": "Tutor", - "dialogue": "You've done a really good job of explaining your thinking to-day" - }, - { - "start": "41:28.72", - "stop": "41:30.68", - "speaker": "Tutor", - "dialogue": "Can I ask you a few more questions?" - }, - { - "start": "41:33.56", - "stop": "41:33.68", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "41:33.72", - "stop": "41:34.44", - "speaker": "Tutor", - "dialogue": "You all finished?" - }, - { - "start": "41:37.32", - "stop": "41:37.48", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "41:37.56", - "stop": "41:41.48", - "speaker": "Tutor", - "dialogue": "I ask you a question about what you think you learned to day or what you thought about." - }, - { - "start": "41:42.52", - "stop": "41:44.80", - "speaker": "Student", - "dialogue": "Ah day was awes." - }, - { - "start": "41:46.20", - "stop": "41:47.84", - "speaker": "Student", - "dialogue": "The way you taught was good." - }, - { - "start": "41:49.24", - "stop": "41:51.96", - "speaker": "Tutor", - "dialogue": "What is someing you think you learned or thought about?" - }, - { - "start": "41:53.88", - "stop": "41:54.72", - "speaker": "Student", - "dialogue": "I can hear you." - }, - { - "start": "41:55.68", - "stop": "42:00.04", - "speaker": "Tutor", - "dialogue": "What is something that you think you learned or thought about to-day" - }, - { - "start": "42:01.44", - "stop": "42:09.04", - "speaker": "Student", - "dialogue": "Um, I learned something about graph relationship increase increasinging the same." - }, - { - "start": "42:10.48", - "stop": "42:17.48", - "speaker": "Tutor", - "dialogue": "Nice, Yes, Graphs show us how two things are changing together and what that relationship is." - }, - { - "start": "42:18.12", - "stop": "42:20.68", - "speaker": "Tutor", - "dialogue": "Always Remember to think with these purple words." - }, - { - "start": "42:22.84", - "stop": "42:23.12", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "42:23.44", - "stop": "42:34.60", - "speaker": "Tutor", - "dialogue": "And then, is there anything you think would be helpful for us to know what would be better, or things that we might change, or want to keep doing as we work with students in this way?" - }, - { - "start": "42:35.76", - "stop": "42:38.24", - "speaker": "Student", - "dialogue": "You, I can try longer sessions." - }, - { - "start": "42:40.64", - "stop": "42:42.92", - "speaker": "Tutor", - "dialogue": "How long of a session do you think would be best?" - }, - { - "start": "42:44.60", - "stop": "42:50.36", - "speaker": "Student", - "dialogue": "You don't want to be U too long, so like an hour and thirty minutes." - }, - { - "start": "42:51.04", - "stop": "42:52.60", - "speaker": "Tutor", - "dialogue": "That feels like that would be a good fit." - }, - { - "start": "42:54.36", - "stop": "42:54.64", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "42:55.60", - "stop": "42:58.72", - "speaker": "Tutor", - "dialogue": "Okay, thank you so much for your help today." - }, - { - "start": "42:59.24", - "stop": "43:00.08", - "speaker": "Tutor", - "dialogue": "and you are." - }, - { - "start": "43:00.84", - "stop": "43:01.20", - "speaker": "Tutor", - "dialogue": "remember." - }, - { - "start": "43:01.32", - "stop": "43:07.24", - "speaker": "Tutor", - "dialogue": "whenever your problem solving in math, you always get to revise and change your mind if you want continue." - }, - { - "start": "43:08.68", - "stop": "43:10.24", - "speaker": "Student", - "dialogue": "A auda." - } -] \ No newline at end of file diff --git a/data/amber/7152022CL.json b/data/amber/7152022CL.json deleted file mode 100644 index 4283df3..0000000 --- a/data/amber/7152022CL.json +++ /dev/null @@ -1,2486 +0,0 @@ -[ - { - "start": "00:00.64", - "stop": "00:05.48", - "speaker": "Tutor", - "dialogue": "Okay, so the first thing, if your chat box is open, you can close it" - }, - { - "start": "00:06.88", - "stop": "00:11.84", - "speaker": "Tutor", - "dialogue": "so it opens up your screen to create more work space, since we'll be talking back and forth." - }, - { - "start": "00:13.44", - "stop": "00:13.76", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:14.04", - "stop": "00:16.68", - "speaker": "Tutor", - "dialogue": "Kay, on the left hand side of your screen." - }, - { - "start": "00:18.36", - "stop": "00:18.40", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "00:18.52", - "stop": "00:20.16", - "speaker": "Tutor", - "dialogue": "Should be able to see my arrow moving." - }, - { - "start": "00:20.96", - "stop": "00:22.44", - "speaker": "Tutor", - "dialogue": "Yeah, kay, therese." - }, - { - "start": "00:22.64", - "stop": "00:23.96", - "speaker": "Tutor", - "dialogue": "there's some tools over there." - }, - { - "start": "00:24.08", - "stop": "00:28.16", - "speaker": "Tutor", - "dialogue": "Also, The third one down is a pencil tool." - }, - { - "start": "00:28.88", - "stop": "00:33.56", - "speaker": "Tutor", - "dialogue": "If you click on it up above, you'll see color and size pop up." - }, - { - "start": "00:34.56", - "stop": "00:38.36", - "speaker": "Tutor", - "dialogue": "If you want to change the color or size of what you're drawing, you can do it there." - }, - { - "start": "00:39.32", - "stop": "00:43.60", - "speaker": "Tutor", - "dialogue": "you can also use a text box if you want to type instead of draw." - }, - { - "start": "00:44.76", - "stop": "00:44.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "00:44.96", - "stop": "00:49.12", - "speaker": "Tutor", - "dialogue": "Then the erasing part gets a little bit tricky, so we're going to practicse doing that." - }, - { - "start": "00:51.04", - "stop": "00:51.20", - "speaker": "Student", - "dialogue": "When?" - }, - { - "start": "00:51.28", - "stop": "00:54.64", - "speaker": "Tutor", - "dialogue": "You erase, do not touch the trash can button." - }, - { - "start": "00:55.28", - "stop": "00:58.36", - "speaker": "Tutor", - "dialogue": "It will erase all of your work and we can't get it back." - }, - { - "start": "00:59.56", - "stop": "01:09.68", - "speaker": "Tutor", - "dialogue": "But if you're drawing or writing something and you change your mind and want to erase it, then you use the top arrow to select whatever it is you want to erase" - }, - { - "start": "01:10.44", - "stop": "01:15.32", - "speaker": "Tutor", - "dialogue": "once it's selected, That's what allows you to move it around or resize it also." - }, - { - "start": "01:17.36", - "stop": "01:17.40", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "01:17.52", - "stop": "01:23.44", - "speaker": "Tutor", - "dialogue": "Then if you want to erase it, when it's selected, there is an arrow with an x in the middle" - }, - { - "start": "01:24.00", - "stop": "01:31.16", - "speaker": "Tutor", - "dialogue": "at the bottom of your toolbar, you click that and it erases whatever you have selected instead of erasing everything." - }, - { - "start": "01:32.84", - "stop": "01:32.88", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "01:33.12", - "stop": "01:35.84", - "speaker": "Tutor", - "dialogue": "Practicse drawing something real quick and then erase it." - }, - { - "start": "01:59.00", - "stop": "01:59.28", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "02:00.16", - "stop": "02:01.92", - "speaker": "Tutor", - "dialogue": "Okay, do you have any questions on the tools?" - }, - { - "start": "02:02.52", - "stop": "02:03.76", - "speaker": "Tutor", - "dialogue": "Ah, I think I'm good." - }, - { - "start": "02:04.08", - "stop": "02:21.24", - "speaker": "Tutor", - "dialogue": "okay, um, as we are working, we'll talk back and forth like this, and the more that you can talk out loud whenever you're thinking, the better that helps me understand more about how you're making sense of the situation and what I can do to help." - }, - { - "start": "02:22.44", - "stop": "02:24.56", - "speaker": "Tutor", - "dialogue": "so even if it's like, Um, I'm not sure." - }, - { - "start": "02:24.76", - "stop": "02:33.84", - "speaker": "Tutor", - "dialogue": "should I change this or put like all of that messy thinking in your head, Say it out loud and that's really helpfulm." - }, - { - "start": "02:34.00", - "stop": "02:34.24", - "speaker": "Student", - "dialogue": "Also." - }, - { - "start": "02:34.32", - "stop": "02:40.68", - "speaker": "Tutor", - "dialogue": "Because I cant see your face if I ask you something, and you're like Mm. Not sure." - }, - { - "start": "02:41.20", - "stop": "02:42.64", - "speaker": "Tutor", - "dialogue": "Need some time to think about that." - }, - { - "start": "02:43.40", - "stop": "02:50.80", - "speaker": "Tutor", - "dialogue": "Just verbalize that you need to think, and that means that I won't interrupt you so that you can have some quiet think time." - }, - { - "start": "02:51.48", - "stop": "02:52.60", - "speaker": "Student", - "dialogue": "Okay, cool." - }, - { - "start": "02:53.48", - "stop": "02:54.20", - "speaker": "Tutor", - "dialogue": "Yeah, all right." - }, - { - "start": "02:54.24", - "stop": "02:55.32", - "speaker": "Tutor", - "dialogue": "do you have any other questions?" - }, - { - "start": "02:56.00", - "stop": "02:56.12", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "02:57.72", - "stop": "02:59.48", - "speaker": "Tutor", - "dialogue": "I'm going to change the screen." - }, - { - "start": "03:00.80", - "stop": "03:02.68", - "speaker": "Tutor", - "dialogue": "Do you see something different on the screen now?" - }, - { - "start": "03:03.48", - "stop": "03:03.52", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:04.16", - "stop": "03:06.12", - "speaker": "Tutor", - "dialogue": "Ok, take a minute to read it." - }, - { - "start": "03:06.48", - "stop": "03:10.84", - "speaker": "Tutor", - "dialogue": "Look it over and then describe what you think is happening in this situation." - }, - { - "start": "03:20.24", - "stop": "03:40.28", - "speaker": "Student", - "dialogue": "Um, I think someone is traveling from Providence to Newark to New York City, and it's like, Um, like mapped out how they're going to travel." - }, - { - "start": "03:42.88", - "stop": "03:46.64", - "speaker": "Tutor", - "dialogue": "What are some things that you think we could measure in this situation?" - }, - { - "start": "03:49.84", - "stop": "03:59.00", - "speaker": "Student", - "dialogue": "The the length of of the distance between the two places." - }, - { - "start": "04:00.72", - "stop": "04:06.76", - "speaker": "Tutor", - "dialogue": "If we were going to measure the distance between places, what unit would we use to keep track of that?" - }, - { - "start": "04:08.64", - "stop": "04:09.12", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "04:11.64", - "stop": "04:11.96", - "speaker": "Tutor", - "dialogue": "Anything?" - }, - { - "start": "04:12.04", - "stop": "04:12.28", - "speaker": "Student", - "dialogue": "Else." - }, - { - "start": "04:12.36", - "stop": "04:14.44", - "speaker": "Tutor", - "dialogue": "That you can think of that we might be able to measure." - }, - { - "start": "04:17.40", - "stop": "04:23.56", - "speaker": "Student", - "dialogue": "Colomterslse." - }, - { - "start": "04:23.68", - "stop": "04:23.88", - "speaker": "Tutor", - "dialogue": "That's" - }, - { - "start": "04:24.12", - "stop": "04:24.44", - "speaker": "Student", - "dialogue": "Changing." - }, - { - "start": "04:24.52", - "stop": "04:26.52", - "speaker": "Tutor", - "dialogue": "In this situation or that, we could measure." - }, - { - "start": "04:31.44", - "stop": "04:32.88", - "speaker": "Student", - "dialogue": "The speed of the car." - }, - { - "start": "04:35.28", - "stop": "04:36.20", - "speaker": "Tutor", - "dialogue": "Say more about that." - }, - { - "start": "04:36.60", - "stop": "04:40.00", - "speaker": "Tutor", - "dialogue": "What would we need to know to be able to measure the speed of the car?" - }, - { - "start": "04:42.84", - "stop": "04:47.28", - "speaker": "Student", - "dialogue": "Uh, I'm not sure, Okay?" - }, - { - "start": "04:47.76", - "stop": "04:51.72", - "speaker": "Tutor", - "dialogue": "So you're like we can measure speed, but not quite sure how we would measure it?" - }, - { - "start": "04:52.72", - "stop": "04:57.16", - "speaker": "Tutor", - "dialogue": "Yeah, okay, cool thinking anything else that we could measure?" - }, - { - "start": "05:00.92", - "stop": "05:02.20", - "speaker": "Student", - "dialogue": "I don't think so." - }, - { - "start": "05:04.20", - "stop": "05:04.44", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "05:04.60", - "stop": "05:04.88", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "05:05.12", - "stop": "05:11.84", - "speaker": "Tutor", - "dialogue": "I'm goning to uncover something and then think about how it's similar or different to what you were thinking about." - }, - { - "start": "05:19.44", - "stop": "05:30.12", - "speaker": "Student", - "dialogue": "Um, it's similar because I think this graph is showing the speed of the car." - }, - { - "start": "05:32.76", - "stop": "05:35.16", - "speaker": "Tutor", - "dialogue": "Cool, where do you see speed of the car?" - }, - { - "start": "05:36.96", - "stop": "05:46.56", - "speaker": "Student", - "dialogue": "Um, distance is on the Y Xs, and time is on the X Xs, So when distance is divided by time, you get the speed." - }, - { - "start": "05:48.08", - "stop": "05:53.44", - "speaker": "Tutor", - "dialogue": "So can you point on the graph where you see speed in this graph?" - }, - { - "start": "05:55.52", - "stop": "06:01.84", - "speaker": "Student", - "dialogue": "Um, Wre who we're like here." - }, - { - "start": "06:04.80", - "stop": "06:06.48", - "speaker": "Tutor", - "dialogue": "Is that the only place speed is?" - }, - { - "start": "06:07.76", - "stop": "06:10.36", - "speaker": "Student", - "dialogue": "Um, like this whole youre." - }, - { - "start": "06:11.20", - "stop": "06:13.24", - "speaker": "Tutor", - "dialogue": "Ah, so that whole blue line is?" - }, - { - "start": "06:13.68", - "stop": "06:16.08", - "speaker": "Tutor", - "dialogue": "Yeah, a relationship of miles to hours?" - }, - { - "start": "06:16.76", - "stop": "06:20.80", - "speaker": "Tutor", - "dialogue": "Yeah, so another way to think about that blue line is that's the speed of the car." - }, - { - "start": "06:21.64", - "stop": "06:21.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "06:22.88", - "stop": "06:25.96", - "speaker": "Tutor", - "dialogue": "So if you look at the map and the graph." - }, - { - "start": "06:27.72", - "stop": "06:28.20", - "speaker": "Student", - "dialogue": "Describe." - }, - { - "start": "06:28.28", - "stop": "06:31.40", - "speaker": "Tutor", - "dialogue": "What's happening during each stage of the journey?" - }, - { - "start": "06:38.08", - "stop": "06:51.76", - "speaker": "Student", - "dialogue": "In the first hour, the car travels fifty miles U, and it's going at an increasing speed." - }, - { - "start": "06:54.16", - "stop": "06:54.20", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "06:54.40", - "stop": "07:09.52", - "speaker": "Student", - "dialogue": "Then, for the next half hour, it's at the same speed, and Um, from one and a half hours to two and a half hours." - }, - { - "start": "07:09.60", - "stop": "07:10.64", - "speaker": "Student", - "dialogue": "it's also increasing." - }, - { - "start": "07:11.16", - "stop": "07:15.96", - "speaker": "Student", - "dialogue": "The speed is also increasing, and after that it keeps changing." - }, - { - "start": "07:17.52", - "stop": "07:19.28", - "speaker": "Tutor", - "dialogue": "What's the it that keeps changing?" - }, - { - "start": "07:20.00", - "stop": "07:20.60", - "speaker": "Student", - "dialogue": "The speed?" - }, - { - "start": "07:22.56", - "stop": "07:22.72", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "07:22.84", - "stop": "07:22.88", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "07:23.12", - "stop": "07:28.36", - "speaker": "Tutor", - "dialogue": "To B, you said, and the speed keeps increasing" - }, - { - "start": "07:28.88", - "stop": "07:30.64", - "speaker": "Tutor", - "dialogue": "And you kind of said it like a question." - }, - { - "start": "07:31.32", - "stop": "07:32.12", - "speaker": "Tutor", - "dialogue": "So I'm wondering." - }, - { - "start": "07:32.40", - "stop": "07:37.16", - "speaker": "Tutor", - "dialogue": "Are you convinced that the speed is increasing from A to B, or are you still unsure?" - }, - { - "start": "07:38.36", - "stop": "07:39.76", - "speaker": "Student", - "dialogue": "Oh, I'm still unsure." - }, - { - "start": "07:40.36", - "stop": "07:41.88", - "speaker": "Tutor", - "dialogue": "Yeah, your tone told me that, too." - }, - { - "start": "07:42.00", - "stop": "07:42.48", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "07:42.80", - "stop": "07:47.84", - "speaker": "Tutor", - "dialogue": "so let's take a look at A to B. What's increasing from A to B?" - }, - { - "start": "07:49.40", - "stop": "07:49.68", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "07:49.84", - "stop": "07:54.16", - "speaker": "Tutor", - "dialogue": "Decreasing from A to B, and what's staying the same from A to B." - }, - { - "start": "07:58.08", - "stop": "08:07.40", - "speaker": "Student", - "dialogue": "Um, the distance increases and the time increases." - }, - { - "start": "08:11.72", - "stop": "08:13.16", - "speaker": "Student", - "dialogue": "I don't know about the rest." - }, - { - "start": "08:14.36", - "stop": "08:16.56", - "speaker": "Tutor", - "dialogue": "Where do you see distance increasing?" - }, - { - "start": "08:19.24", - "stop": "08:22.20", - "speaker": "Student", - "dialogue": "On the y acxis, it goes from zero to fifty." - }, - { - "start": "08:23.00", - "stop": "08:30.68", - "speaker": "Tutor", - "dialogue": "Okay, so right here is where you can tell that the distance increased by fifty miles." - }, - { - "start": "08:31.28", - "stop": "08:32.20", - "speaker": "Student", - "dialogue": "Yeah, okay." - }, - { - "start": "08:32.96", - "stop": "08:35.64", - "speaker": "Tutor", - "dialogue": "And how can you tell that the time is increasing?" - }, - { - "start": "08:36.60", - "stop": "08:39.96", - "speaker": "Student", - "dialogue": "Because it goes from zero to one hour." - }, - { - "start": "08:40.40", - "stop": "08:41.60", - "speaker": "Tutor", - "dialogue": "Okay, you can go ahead and label it." - }, - { - "start": "08:41.72", - "stop": "08:42.36", - "speaker": "Tutor", - "dialogue": "I see your arrow." - }, - { - "start": "08:42.44", - "stop": "08:42.56", - "speaker": "Tutor", - "dialogue": "There." - }, - { - "start": "08:42.68", - "stop": "08:43.52", - "speaker": "Tutor", - "dialogue": "you can label it." - }, - { - "start": "08:51.40", - "stop": "08:51.44", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "08:51.60", - "stop": "08:57.68", - "speaker": "Tutor", - "dialogue": "Then you said the blue line shows the speed because it's a relationship of miles to ours." - }, - { - "start": "08:58.60", - "stop": "08:58.64", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "08:59.32", - "stop": "08:59.56", - "speaker": "Student", - "dialogue": "Could?" - }, - { - "start": "08:59.60", - "stop": "09:03.32", - "speaker": "Tutor", - "dialogue": "You do we know how fast the car is going from a tob?" - }, - { - "start": "09:10.72", - "stop": "09:10.88", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "09:11.88", - "stop": "09:17.12", - "speaker": "Tutor", - "dialogue": "What would we need to know to be able to determine how fast the car is going?" - }, - { - "start": "09:18.88", - "stop": "09:21.44", - "speaker": "Student", - "dialogue": "The slope of line Ab." - }, - { - "start": "09:22.68", - "stop": "09:26.48", - "speaker": "Tutor", - "dialogue": "And what would you need to be able to determine the slope of line Ab?" - }, - { - "start": "09:30.92", - "stop": "09:38.12", - "speaker": "Student", - "dialogue": "Um, the change in distance over the change in time." - }, - { - "start": "09:38.92", - "stop": "09:42.16", - "speaker": "Tutor", - "dialogue": "Do you know the change in distance and the change in time?" - }, - { - "start": "09:43.20", - "stop": "09:45.56", - "speaker": "Student", - "dialogue": "Yeah, so its." - }, - { - "start": "09:45.88", - "stop": "09:47.56", - "speaker": "Student", - "dialogue": "The speed is fifty." - }, - { - "start": "09:50.20", - "stop": "09:50.72", - "speaker": "Tutor", - "dialogue": "Fifty, what?" - }, - { - "start": "09:51.28", - "stop": "09:52.04", - "speaker": "Tutor", - "dialogue": "What's the unit?" - }, - { - "start": "09:53.40", - "stop": "09:54.48", - "speaker": "Student", - "dialogue": "Miles hour." - }, - { - "start": "09:55.12", - "stop": "09:58.84", - "speaker": "Tutor", - "dialogue": "A, because speed is a thing." - }, - { - "start": "10:00.40", - "stop": "10:00.44", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "10:00.68", - "stop": "10:04.20", - "speaker": "Tutor", - "dialogue": "Has a relationship of miles travel?" - }, - { - "start": "10:05.32", - "stop": "10:05.52", - "speaker": "Student", - "dialogue": "Per." - }, - { - "start": "10:06.72", - "stop": "10:07.24", - "speaker": "Tutor", - "dialogue": "One hour." - }, - { - "start": "10:09.20", - "stop": "10:09.24", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "10:09.40", - "stop": "10:20.76", - "speaker": "Tutor", - "dialogue": "You sait aup, we know the speed from A to B. It's fif fifty miles per hour, Because the distance changes by fifty miles and the speed." - }, - { - "start": "10:21.96", - "stop": "10:22.36", - "speaker": "Tutor", - "dialogue": "I'm sorry." - }, - { - "start": "10:22.60", - "stop": "10:24.96", - "speaker": "Tutor", - "dialogue": "The time changes by one hour." - }, - { - "start": "10:27.28", - "stop": "10:27.32", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "10:27.80", - "stop": "10:33.24", - "speaker": "Tutor", - "dialogue": "Altogether, that means the car is travelling fifty miles per." - }, - { - "start": "10:34.24", - "stop": "10:34.52", - "speaker": "Student", - "dialogue": "Hour." - }, - { - "start": "10:35.24", - "stop": "10:36.68", - "speaker": "Tutor", - "dialogue": "Does that summarize your thinking?" - }, - { - "start": "10:37.80", - "stop": "10:37.84", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "10:39.44", - "stop": "10:42.92", - "speaker": "Tutor", - "dialogue": "So is the car going fifty miles per hour?" - }, - { - "start": "10:43.72", - "stop": "10:49.96", - "speaker": "Tutor", - "dialogue": "this entireection of the trip from A to B, or is the speed of the car changing?" - }, - { - "start": "10:55.40", - "stop": "10:59.00", - "speaker": "Student", - "dialogue": "It's fifty miles per hour the whole time." - }, - { - "start": "11:01.52", - "stop": "11:10.92", - "speaker": "Tutor", - "dialogue": "So the first time you talked about A to B, you said and the speed is increasing, and now you said it's fifty miles an hour the whole time." - }, - { - "start": "11:12.40", - "stop": "11:12.64", - "speaker": "Student", - "dialogue": "Which?" - }, - { - "start": "11:12.76", - "stop": "11:16.00", - "speaker": "Tutor", - "dialogue": "One is it, and say it with confidence, own it." - }, - { - "start": "11:18.88", - "stop": "11:22.52", - "speaker": "Student", - "dialogue": "The car travels fifty miles per hour for the first hour." - }, - { - "start": "11:23.56", - "stop": "11:29.68", - "speaker": "Tutor", - "dialogue": "So does the speed vary at all during the section of the trip, Or is the speed constant?" - }, - { - "start": "11:31.12", - "stop": "11:32.04", - "speaker": "Student", - "dialogue": "It's constant." - }, - { - "start": "11:32.20", - "stop": "11:36.12", - "speaker": "Tutor", - "dialogue": "And it's constant from D to E. Does the speed vary?" - }, - { - "start": "11:36.92", - "stop": "11:38.36", - "speaker": "Tutor", - "dialogue": "or is the speed constant?" - }, - { - "start": "11:39.52", - "stop": "11:40.36", - "speaker": "Student", - "dialogue": "It's varying." - }, - { - "start": "11:41.52", - "stop": "11:44.52", - "speaker": "Tutor", - "dialogue": "Yeah, so that means the car is speeding up and then slowing down?" - }, - { - "start": "11:45.92", - "stop": "11:45.96", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "11:47.48", - "stop": "11:52.20", - "speaker": "Tutor", - "dialogue": "Where would A and B be located on the map?" - }, - { - "start": "11:56.40", - "stop": "11:56.44", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "11:56.56", - "stop": "11:57.80", - "speaker": "Tutor", - "dialogue": "You can label it somehow." - }, - { - "start": "11:57.88", - "stop": "11:59.04", - "speaker": "Tutor", - "dialogue": "Where would you put Point A?" - }, - { - "start": "11:59.24", - "stop": "12:02.20", - "speaker": "Tutor", - "dialogue": "Where would you put point B, and then be ready to justify." - }, - { - "start": "12:02.48", - "stop": "12:04.32", - "speaker": "Tutor", - "dialogue": "Why did you put your points where you put em?" - }, - { - "start": "12:39.96", - "stop": "13:08.72", - "speaker": "Student", - "dialogue": "Uh, I put point A at Providence, because that's that's the start of the journey and that's when it says that the distance is zero and I put B over here because that's at fifty miles and that's one-third of the whole journey, so I tried putting it like somewhere a third of the way to New York." - }, - { - "start": "13:10.56", - "stop": "13:16.60", - "speaker": "Tutor", - "dialogue": "Great job of explaining your thinking so from A to B on the map." - }, - { - "start": "13:18.64", - "stop": "13:18.68", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "13:18.84", - "stop": "13:22.16", - "speaker": "Tutor", - "dialogue": "Notice that the line is Kirby." - }, - { - "start": "13:24.24", - "stop": "13:24.28", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "13:24.52", - "stop": "13:33.64", - "speaker": "Tutor", - "dialogue": "From A to B on the graph, the line is straight even though they represent the same section of the journey." - }, - { - "start": "13:33.96", - "stop": "13:38.72", - "speaker": "Tutor", - "dialogue": "Same situation, How come one line is curvey and one line is straight?" - }, - { - "start": "13:42.88", - "stop": "13:50.80", - "speaker": "Student", - "dialogue": "The road could just be curvey, but like the distance traveled would still be the same as when shown Onder graph." - }, - { - "start": "13:51.64", - "stop": "13:57.48", - "speaker": "Tutor", - "dialogue": "Yeah, and even though the line is Ckurvey, what do you know about the speed from A to B for that graph?" - }, - { - "start": "13:58.36", - "stop": "13:59.96", - "speaker": "Student", - "dialogue": "It's fifty miles per hour." - }, - { - "start": "14:00.52", - "stop": "14:09.84", - "speaker": "Tutor", - "dialogue": "So it's like I set the cruise control in the car and I'm traveling fifty miles per hour, even around these cur curves, still going fifty miles per hour." - }, - { - "start": "14:10.68", - "stop": "14:10.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "14:11.44", - "stop": "14:11.76", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "14:12.56", - "stop": "14:17.16", - "speaker": "Tutor", - "dialogue": "okay, Um, let's uncover another one." - }, - { - "start": "14:22.16", - "stop": "14:22.20", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "14:22.44", - "stop": "14:24.32", - "speaker": "Tutor", - "dialogue": "Is this graph going to keep track of?" - }, - { - "start": "14:31.84", - "stop": "14:46.04", - "speaker": "Student", - "dialogue": "Ium not sure I would like to have something to do with distance because of what it represents, but I don't think the units would match." - }, - { - "start": "14:47.64", - "stop": "14:52.68", - "speaker": "Tutor", - "dialogue": "So this axis, the y axis is, keep track of time." - }, - { - "start": "14:53.56", - "stop": "14:56.08", - "speaker": "Tutor", - "dialogue": "How long have we traveled in the journey?" - }, - { - "start": "14:57.36", - "stop": "15:00.60", - "speaker": "Tutor", - "dialogue": "This axis, you're going to keep track of speed." - }, - { - "start": "15:01.20", - "stop": "15:02.80", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "15:03.52", - "stop": "15:09.00", - "speaker": "Tutor", - "dialogue": "So if you look at the journey here, does the car travel the same speed the entire trip?" - }, - { - "start": "15:09.84", - "stop": "15:10.00", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "15:11.32", - "stop": "15:14.56", - "speaker": "Tutor", - "dialogue": "So you're going to create a graph to describe?" - }, - { - "start": "15:16.12", - "stop": "15:16.16", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "15:16.56", - "stop": "15:23.08", - "speaker": "Tutor", - "dialogue": "Is the speed of the car throughout the trip, and for how long does the car travel at that speed?" - }, - { - "start": "15:25.60", - "stop": "15:25.64", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "15:25.76", - "stop": "15:26.76", - "speaker": "Tutor", - "dialogue": "You understand the question." - }, - { - "start": "15:28.56", - "stop": "15:29.36", - "speaker": "Student", - "dialogue": "Not really." - }, - { - "start": "15:33.16", - "stop": "15:36.96", - "speaker": "Tutor", - "dialogue": "So from A to B, do you know how fast the car is going?" - }, - { - "start": "15:38.24", - "stop": "15:40.00", - "speaker": "Student", - "dialogue": "Yeah, fifty miles per hour." - }, - { - "start": "15:40.16", - "stop": "15:44.28", - "speaker": "Tutor", - "dialogue": "All right, let's label that on the map, fifty miles per hour from A to B." - }, - { - "start": "15:54.96", - "stop": "15:55.16", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "15:55.20", - "stop": "15:56.28", - "speaker": "Tutor", - "dialogue": "Would you put point C?" - }, - { - "start": "16:00.16", - "stop": "16:00.20", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "16:00.44", - "stop": "16:00.80", - "speaker": "Tutor", - "dialogue": "The map." - }, - { - "start": "16:03.12", - "stop": "16:05.92", - "speaker": "Student", - "dialogue": "Ah, at the same point." - }, - { - "start": "16:07.00", - "stop": "16:11.12", - "speaker": "Tutor", - "dialogue": "And if it's at the same point, how fast is the car going from B to C?" - }, - { - "start": "16:12.72", - "stop": "16:14.20", - "speaker": "Student", - "dialogue": "Fifteen miles from war." - }, - { - "start": "16:15.16", - "stop": "16:16.28", - "speaker": "Tutor", - "dialogue": "Wll, we get to point B." - }, - { - "start": "16:17.76", - "stop": "16:17.80", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "16:18.08", - "stop": "16:20.44", - "speaker": "Tutor", - "dialogue": "Happens with the distance in time from B to C." - }, - { - "start": "16:24.72", - "stop": "16:31.60", - "speaker": "Student", - "dialogue": "The distance stays the same, but time increases by half an hour." - }, - { - "start": "16:32.60", - "stop": "16:38.04", - "speaker": "Tutor", - "dialogue": "So if the distance stays the same, do you know how many miles the car has traveleed from B to C?" - }, - { - "start": "16:41.08", - "stop": "16:41.32", - "speaker": "Student", - "dialogue": "Zero." - }, - { - "start": "16:42.04", - "stop": "16:46.76", - "speaker": "Tutor", - "dialogue": "And if it's traveleed zero miles, how fast is the car going?" - }, - { - "start": "16:49.08", - "stop": "16:50.40", - "speaker": "Student", - "dialogue": "At zerons Pro." - }, - { - "start": "16:50.80", - "stop": "16:57.16", - "speaker": "Tutor", - "dialogue": "Correct, y, so label that on your map, where is point C, and how fast is the car going from B to C?" - }, - { - "start": "17:07.16", - "stop": "17:07.28", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "17:07.36", - "stop": "17:08.12", - "speaker": "Tutor", - "dialogue": "Right, keep going." - }, - { - "start": "17:08.64", - "stop": "17:10.68", - "speaker": "Tutor", - "dialogue": "Where would point D be located?" - }, - { - "start": "17:13.20", - "stop": "17:13.32", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "17:13.40", - "stop": "17:17.48", - "speaker": "Tutor", - "dialogue": "Do you know and how fast is the car going from C to D?" - }, - { - "start": "17:37.72", - "stop": "19:20.04", - "speaker": "Student", - "dialogue": "M, from Cea to D. it's travelling at fifty miles per hour." - }, - { - "start": "19:22.08", - "stop": "19:23.60", - "speaker": "Tutor", - "dialogue": "Are you asking me or are you telling me?" - }, - { - "start": "19:25.32", - "stop": "19:26.56", - "speaker": "Student", - "dialogue": "Ah, I'm telling you." - }, - { - "start": "19:27.04", - "stop": "19:28.00", - "speaker": "Tutor", - "dialogue": "Nice, your own in it." - }, - { - "start": "19:28.80", - "stop": "19:29.04", - "speaker": "Student", - "dialogue": "Good." - }, - { - "start": "19:29.12", - "stop": "19:30.72", - "speaker": "Tutor", - "dialogue": "Yeah, and I saw how you were thinking." - }, - { - "start": "19:30.76", - "stop": "19:33.08", - "speaker": "Tutor", - "dialogue": "By the way you were moving your mouse around to calculate." - }, - { - "start": "19:33.20", - "stop": "19:33.92", - "speaker": "Tutor", - "dialogue": "So that's awesome." - }, - { - "start": "19:34.52", - "stop": "19:35.60", - "speaker": "Tutor", - "dialogue": "now, D to E." - }, - { - "start": "20:23.72", - "stop": "20:29.60", - "speaker": "Student", - "dialogue": "The average speed is fifty three point three hours." - }, - { - "start": "20:29.92", - "stop": "20:32.12", - "speaker": "Student", - "dialogue": "I mean fifty three point three miles per." - }, - { - "start": "20:32.20", - "stop": "20:34.00", - "speaker": "Tutor", - "dialogue": "Hour, how did you figure that out?" - }, - { - "start": "20:35.80", - "stop": "20:46.68", - "speaker": "Student", - "dialogue": "I found the change in distance and then I estimated the change in time, and it's like the average speed because." - }, - { - "start": "20:47.48", - "stop": "20:48.08", - "speaker": "Tutor", - "dialogue": "It keeps." - }, - { - "start": "20:48.28", - "stop": "20:54.52", - "speaker": "Student", - "dialogue": "Stopping and then moving, so I can't figure out like the speed in each." - }, - { - "start": "20:54.76", - "stop": "21:02.60", - "speaker": "Tutor", - "dialogue": "Section, Ah, so with the tools that you have right now for math, that is a great way to calculate the average or the estimate." - }, - { - "start": "21:03.36", - "stop": "21:16.80", - "speaker": "Tutor", - "dialogue": "Know that as you continue getting higher in math, you will be able to figure out more specific rates of change even when it's not a linear situation, even when it varies like that." - }, - { - "start": "21:18.80", - "stop": "21:19.04", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "21:19.16", - "stop": "21:21.28", - "speaker": "Tutor", - "dialogue": "Thinking Okay, Yep, so your estimate works." - }, - { - "start": "21:24.00", - "stop": "21:24.04", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "21:24.28", - "stop": "21:25.08", - "speaker": "Tutor", - "dialogue": "Then eta" - }, - { - "start": "21:25.20", - "stop": "21:27.96", - "speaker": "Tutor", - "dialogue": "f. Oh, did you label the speed for D? E?" - }, - { - "start": "21:28.92", - "stop": "21:29.16", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "22:06.60", - "stop": "22:08.08", - "speaker": "Tutor", - "dialogue": "How did you get forty for that one?" - }, - { - "start": "22:10.24", - "stop": "22:21.56", - "speaker": "Student", - "dialogue": "The change in distance was ten and it was over a fourth of an hour, so then I divided ten by one fourth, and I got forty." - }, - { - "start": "22:23.04", - "stop": "22:30.28", - "speaker": "Tutor", - "dialogue": "Ok, so you're telling me now that the car travels fifty miles per hour for a period of time, and then it stops goes" - }, - { - "start": "22:30.40", - "stop": "22:36.52", - "speaker": "Tutor", - "dialogue": "zero miles an hour for a period of time, Then it gets back and goes fifty miles per hour for a period of time." - }, - { - "start": "22:37.44", - "stop": "22:50.08", - "speaker": "Tutor", - "dialogue": "Then there's some fluctuation as it goes through New York City, but on average it's traveling fifty three point three miles per hour, and then at the end of the trip for a period of time it goes forty miles per hour." - }, - { - "start": "22:50.92", - "stop": "22:50.96", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "22:52.08", - "stop": "22:59.48", - "speaker": "Tutor", - "dialogue": "How can you show what you labeled here and what I just described in words in a graph over here?" - }, - { - "start": "23:15.84", - "stop": "23:21.32", - "speaker": "Student", - "dialogue": "Um, I think why." - }, - { - "start": "23:32.60", - "stop": "23:37.52", - "speaker": "Tutor", - "dialogue": "Cool, so you can do some rough draught thinking and take a first attempt." - }, - { - "start": "23:37.60", - "stop": "23:40.80", - "speaker": "Tutor", - "dialogue": "Just like when you're going to write a paper and you write an outline or a rough draught." - }, - { - "start": "23:41.84", - "stop": "23:43.20", - "speaker": "Tutor", - "dialogue": "Do that here with the graph." - }, - { - "start": "23:45.64", - "stop": "23:45.68", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "23:45.84", - "stop": "23:53.16", - "speaker": "Tutor", - "dialogue": "Do you think it might look like to get started as you think about how fast is the car going, and for how long is it going that fast?" - }, - { - "start": "25:40.72", - "stop": "25:42.68", - "speaker": "Tutor", - "dialogue": "Why did you decide to change those numbers?" - }, - { - "start": "25:45.80", - "stop": "25:50.52", - "speaker": "Student", - "dialogue": "I forgot that a forty mile P at the end A." - }, - { - "start": "25:52.64", - "stop": "25:52.88", - "speaker": "Tutor", - "dialogue": "Keep." - }, - { - "start": "25:52.96", - "stop": "25:53.20", - "speaker": "Student", - "dialogue": "Going." - }, - { - "start": "27:05.00", - "stop": "27:11.16", - "speaker": "Tutor", - "dialogue": "Awesome, so explain to me what you've put here and where you are in your process to this point." - }, - { - "start": "27:13.52", - "stop": "27:23.52", - "speaker": "Student", - "dialogue": "Um, well, in the first hour, it traveled fifteen miles per hour, so I put a point at one hour and fifty miles per hour." - }, - { - "start": "27:24.88", - "stop": "27:26.64", - "speaker": "Tutor", - "dialogue": "So and then hang on one second?" - }, - { - "start": "27:26.76", - "stop": "27:31.12", - "speaker": "Tutor", - "dialogue": "Does that point represent any of the points on this graph?" - }, - { - "start": "27:37.96", - "stop": "27:38.00", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "27:38.08", - "stop": "27:42.04", - "speaker": "Tutor", - "dialogue": "Does that point represent any of the points along the journey on the map?" - }, - { - "start": "27:44.32", - "stop": "27:46.16", - "speaker": "Student", - "dialogue": "I think it represents point." - }, - { - "start": "27:46.52", - "stop": "27:46.56", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "27:48.32", - "stop": "27:48.36", - "speaker": "Student", - "dialogue": "K." - }, - { - "start": "27:49.16", - "stop": "27:51.08", - "speaker": "Tutor", - "dialogue": "So if this is point B?" - }, - { - "start": "27:54.24", - "stop": "27:54.44", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "27:54.48", - "stop": "28:01.56", - "speaker": "Tutor", - "dialogue": "Would point a B, and if at the same time as you're thinking about that, come back over to here." - }, - { - "start": "28:02.16", - "stop": "28:05.12", - "speaker": "Tutor", - "dialogue": "How fast is the car going from A to B?" - }, - { - "start": "28:05.80", - "stop": "28:12.00", - "speaker": "Tutor", - "dialogue": "And did the speed remain constant or did the speed change from A to B?" - }, - { - "start": "28:18.64", - "stop": "28:19.84", - "speaker": "Student", - "dialogue": "It was constant." - }, - { - "start": "28:20.80", - "stop": "28:26.76", - "speaker": "Tutor", - "dialogue": "So if it's constant, does that mean the car is going fifty miles an hour the entire time from a tob?" - }, - { - "start": "28:28.32", - "stop": "28:32.24", - "speaker": "Tutor", - "dialogue": "or its speed is changing in some way from A to B?" - }, - { - "start": "28:33.72", - "stop": "28:35.80", - "speaker": "Student", - "dialogue": "It's going fifty miles per hour." - }, - { - "start": "28:38.24", - "stop": "28:49.56", - "speaker": "Tutor", - "dialogue": "So, even if it is ten minutes into the trip, fifty miles an hour, thirty minutes into the trip, still going fifty miles an hour an hour into the trip, still going fifty miles an hour." - }, - { - "start": "28:50.68", - "stop": "28:50.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "28:51.20", - "stop": "29:00.88", - "speaker": "Tutor", - "dialogue": "How can you show that on your graph that anywhere along the trip from the time they take off till the time they reach one hour, they're going fifty miles an hour." - }, - { - "start": "29:03.36", - "stop": "29:08.56", - "speaker": "Student", - "dialogue": "Is it a vertical line from B to the Xxs?" - }, - { - "start": "29:09.84", - "stop": "29:11.20", - "speaker": "Tutor", - "dialogue": "Draght, and then we will." - }, - { - "start": "29:11.96", - "stop": "29:16.12", - "speaker": "Tutor", - "dialogue": "This can be your rough draft and we'll see if it makes sense or if we need to revise." - }, - { - "start": "29:17.08", - "stop": "29:18.88", - "speaker": "Tutor", - "dialogue": "Okay, So this is your prediction right now." - }, - { - "start": "29:19.60", - "stop": "29:29.60", - "speaker": "Tutor", - "dialogue": "Yeah, saying okay, I think the beginning of the trip would be here and then at point B, they'd be here because they're going fifty miles an hour at one hour." - }, - { - "start": "29:31.20", - "stop": "29:31.24", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "29:32.36", - "stop": "29:40.16", - "speaker": "Tutor", - "dialogue": "Go back to what you said over here, and you said for the entire first hour of the trip, The car is going fifty miles an hour." - }, - { - "start": "29:40.96", - "stop": "29:42.04", - "speaker": "Tutor", - "dialogue": "Does your graph show that?" - }, - { - "start": "29:45.88", - "stop": "29:45.92", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "29:46.08", - "stop": "29:47.28", - "speaker": "Tutor", - "dialogue": "Would it be a vertical line?" - }, - { - "start": "29:48.52", - "stop": "29:48.56", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "29:49.40", - "stop": "29:52.76", - "speaker": "Tutor", - "dialogue": "Boom, powerful thinking, keep going." - }, - { - "start": "30:09.76", - "stop": "30:09.80", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "30:10.12", - "stop": "30:18.28", - "speaker": "Tutor", - "dialogue": "Same thing from one hour to one and a half hours, All the way along that interval, the cars going zero miles an hour." - }, - { - "start": "30:19.44", - "stop": "30:24.52", - "speaker": "Tutor", - "dialogue": "Where on your graph would you show a speed of zero miles an hour?" - }, - { - "start": "30:26.12", - "stop": "30:26.36", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "30:26.72", - "stop": "30:29.64", - "speaker": "Tutor", - "dialogue": "One hour into the trip to an hour and a half into the trip." - }, - { - "start": "30:39.68", - "stop": "30:39.72", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "30:39.92", - "stop": "30:41.92", - "speaker": "Tutor", - "dialogue": "This tells me at one hour" - }, - { - "start": "30:42.88", - "stop": "30:47.72", - "speaker": "Tutor", - "dialogue": "the car is going zero miles an hour and the car is going fifty miles an hour." - }, - { - "start": "30:59.76", - "stop": "30:59.88", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "30:59.96", - "stop": "31:01.00", - "speaker": "Tutor", - "dialogue": "What does that line show?" - }, - { - "start": "31:15.40", - "stop": "31:17.76", - "speaker": "Student", - "dialogue": "The speed from B to C." - }, - { - "start": "31:20.48", - "stop": "31:21.04", - "speaker": "Tutor", - "dialogue": "Is how much?" - }, - { - "start": "31:22.28", - "stop": "31:23.40", - "speaker": "Student", - "dialogue": "Zero miles per hour." - }, - { - "start": "31:23.72", - "stop": "31:28.56", - "speaker": "Tutor", - "dialogue": "All right, are you convinced that your graph shows that, or do you want to think about it or revise?" - }, - { - "start": "31:30.80", - "stop": "31:32.24", - "speaker": "Student", - "dialogue": "Oh, I think I' goant to think about." - }, - { - "start": "31:32.28", - "stop": "31:32.68", - "speaker": "Tutor", - "dialogue": "It throug." - }, - { - "start": "32:13.00", - "stop": "32:14.36", - "speaker": "Student", - "dialogue": "I think this makes sense." - }, - { - "start": "32:14.88", - "stop": "32:15.16", - "speaker": "Tutor", - "dialogue": "A right." - }, - { - "start": "32:15.24", - "stop": "32:16.72", - "speaker": "Tutor", - "dialogue": "So you're convinced that's where it goes?" - }, - { - "start": "32:17.56", - "stop": "32:19.28", - "speaker": "Tutor", - "dialogue": "Yeah, all right, keep going." - }, - { - "start": "34:19.40", - "stop": "34:20.28", - "speaker": "Student", - "dialogue": "I think I'm done." - }, - { - "start": "34:21.20", - "stop": "34:25.60", - "speaker": "Tutor", - "dialogue": "Cool, explain what you have sketched and explain your thinking for." - }, - { - "start": "34:28.36", - "stop": "34:43.24", - "speaker": "Student", - "dialogue": "So from C to D on the map, it shows that it's going at fifty miles per hour, and over here you can see that it's from one and a half hours to two and a half hours." - }, - { - "start": "34:43.72", - "stop": "34:58.60", - "speaker": "Student", - "dialogue": "So then this is one and a half hours, and this is two and a half, and it's at the fifty miles per hour mark, And then from D to E. the average is fifty three point three." - }, - { - "start": "35:00.12", - "stop": "35:25.32", - "speaker": "Student", - "dialogue": "So that's over here, because D is at two point five and that's continuing from over here, and E is at three point seven five, which is over here, And then Eda F is going at forty miles per hour, so at forty I continued the line from here and I went up to four hours." - }, - { - "start": "35:26.40", - "stop": "35:28.04", - "speaker": "Tutor", - "dialogue": "Great job of explaining your thinking." - }, - { - "start": "35:28.64", - "stop": "35:29.48", - "speaker": "Tutor", - "dialogue": "I have a quest." - }, - { - "start": "35:29.60", - "stop": "35:30.56", - "speaker": "Tutor", - "dialogue": "a follow up question." - }, - { - "start": "35:31.48", - "stop": "35:35.52", - "speaker": "Tutor", - "dialogue": "I see a point C right here and a point c right here." - }, - { - "start": "35:36.96", - "stop": "35:37.12", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "35:37.20", - "stop": "35:37.52", - "speaker": "Tutor", - "dialogue": "You have." - }, - { - "start": "35:38.84", - "stop": "35:39.00", - "speaker": "Student", - "dialogue": "Two." - }, - { - "start": "35:39.28", - "stop": "35:42.40", - "speaker": "Tutor", - "dialogue": "Cs in different locations on the graph." - }, - { - "start": "35:50.80", - "stop": "35:52.84", - "speaker": "Student", - "dialogue": "I don't think so." - }, - { - "start": "36:03.76", - "stop": "36:03.80", - "speaker": "Tutor", - "dialogue": "Have?" - }, - { - "start": "36:03.92", - "stop": "36:03.96", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "36:04.04", - "stop": "36:10.20", - "speaker": "Tutor", - "dialogue": "Ever seen graphsraphs?" - }, - { - "start": "36:10.28", - "stop": "36:10.32", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "36:10.48", - "stop": "36:10.64", - "speaker": "Tutor", - "dialogue": "Were?" - }, - { - "start": "36:20.36", - "stop": "36:20.68", - "speaker": "Student", - "dialogue": "Something?" - }, - { - "start": "36:20.76", - "stop": "36:20.80", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "36:20.92", - "stop": "36:20.96", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "36:21.92", - "stop": "36:21.96", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "36:25.56", - "stop": "36:26.20", - "speaker": "Student", - "dialogue": "I think so." - }, - { - "start": "36:27.04", - "stop": "36:27.32", - "speaker": "Tutor", - "dialogue": "Maybe." - }, - { - "start": "36:28.32", - "stop": "36:28.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "36:29.44", - "stop": "36:30.92", - "speaker": "Tutor", - "dialogue": "These have a special name." - }, - { - "start": "36:31.96", - "stop": "36:33.16", - "speaker": "Tutor", - "dialogue": "They're called Peacewise." - }, - { - "start": "36:33.84", - "stop": "36:36.68", - "speaker": "Tutor", - "dialogue": "You ever seen peacewise graphs or heard of peacewise graphs?" - }, - { - "start": "36:37.08", - "stop": "36:37.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "36:38.08", - "stop": "36:52.04", - "speaker": "Tutor", - "dialogue": "That's what you just created here, and it's because this situation is represented not by a nice, neat straight line, because there's different things happening at different points, right?" - }, - { - "start": "36:53.92", - "stop": "36:53.96", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "36:54.52", - "stop": "37:08.88", - "speaker": "Tutor", - "dialogue": "You have two Ses here, so on your graph you're telling me that at point C we are going fifty miles an hour, and we are going zero miles an hour." - }, - { - "start": "37:12.88", - "stop": "37:13.04", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "37:13.16", - "stop": "37:16.96", - "speaker": "Tutor", - "dialogue": "We go fifty miles an hour and zero miles an hour at the same time." - }, - { - "start": "37:17.88", - "stop": "37:18.00", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "37:19.36", - "stop": "37:20.80", - "speaker": "Tutor", - "dialogue": "That means we have to choose." - }, - { - "start": "37:21.84", - "stop": "37:24.16", - "speaker": "Tutor", - "dialogue": "Do you think exactly at point C?" - }, - { - "start": "37:25.52", - "stop": "37:29.40", - "speaker": "Tutor", - "dialogue": "Do you think the car is going fifty miles an hour, or do you think the car is going" - }, - { - "start": "37:29.56", - "stop": "37:30.44", - "speaker": "Tutor", - "dialogue": "zero miles an hour?" - }, - { - "start": "37:37.16", - "stop": "37:46.80", - "speaker": "Student", - "dialogue": "I think a zero miles." - }, - { - "start": "37:48.08", - "stop": "37:50.88", - "speaker": "Tutor", - "dialogue": "So if you wanted your graph to show, the car is going" - }, - { - "start": "37:51.56", - "stop": "37:52.56", - "speaker": "Tutor", - "dialogue": "zero miles an hour" - }, - { - "start": "37:52.76", - "stop": "37:57.84", - "speaker": "Tutor", - "dialogue": "at point C, you would do a closed circle there, and you wanted to show." - }, - { - "start": "38:00.28", - "stop": "38:00.48", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "38:00.96", - "stop": "38:05.52", - "speaker": "Tutor", - "dialogue": "After sea, like infinitely close to sea, but not including Ca." - }, - { - "start": "38:06.88", - "stop": "38:08.40", - "speaker": "Tutor", - "dialogue": "it's going fifty miles an hour." - }, - { - "start": "38:08.92", - "stop": "38:12.12", - "speaker": "Tutor", - "dialogue": "You do an open circle at that section of your graph." - }, - { - "start": "38:14.80", - "stop": "38:15.00", - "speaker": "Student", - "dialogue": "That's" - }, - { - "start": "38:15.08", - "stop": "38:19.60", - "speaker": "Tutor", - "dialogue": "The way you can take care of the well, the car can't be doing two speeds at the same time." - }, - { - "start": "38:21.40", - "stop": "38:21.56", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "38:22.36", - "stop": "38:22.40", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "38:23.64", - "stop": "38:23.68", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "38:23.76", - "stop": "38:34.28", - "speaker": "Tutor", - "dialogue": "Then the other interesting thing about this graph like mathematically the way you created, it makes complete sense about these relationships and what we see in the values over here." - }, - { - "start": "38:36.32", - "stop": "38:36.44", - "speaker": "Student", - "dialogue": "An." - }, - { - "start": "38:36.56", - "stop": "38:41.44", - "speaker": "Tutor", - "dialogue": "Interesting thing about it though is it's telling us that a car can go instantly from" - }, - { - "start": "38:41.60", - "stop": "38:45.48", - "speaker": "Tutor", - "dialogue": "zero miles an hour to fifty miles an hour." - }, - { - "start": "38:46.24", - "stop": "38:47.76", - "speaker": "Tutor", - "dialogue": "Does that happen instantaneous?" - }, - { - "start": "38:48.88", - "stop": "38:49.00", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "38:49.44", - "stop": "38:54.12", - "speaker": "Tutor", - "dialogue": "No, so we would need some more information, or there would be a gradual." - }, - { - "start": "38:55.40", - "stop": "38:56.08", - "speaker": "Student", - "dialogue": "Acceleration." - }, - { - "start": "38:56.24", - "stop": "39:01.52", - "speaker": "Tutor", - "dialogue": "Or increase in some way right, and we could get more specific and detailed in that graph." - }, - { - "start": "39:02.72", - "stop": "39:13.44", - "speaker": "Tutor", - "dialogue": "But the way you showed the relationship and how the speed is changing in relation to the time, and vice versa, your graph makes complete sense." - }, - { - "start": "39:16.24", - "stop": "39:16.28", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "39:16.44", - "stop": "39:16.88", - "speaker": "Tutor", - "dialogue": "Makes sense." - }, - { - "start": "39:18.12", - "stop": "39:18.16", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "39:18.68", - "stop": "39:21.84", - "speaker": "Tutor", - "dialogue": "So you created a piecewise graph to show this relationship." - }, - { - "start": "39:22.48", - "stop": "39:29.88", - "speaker": "Tutor", - "dialogue": "No matter what type of graph you make, you do a good job of understanding that this variable on one axis is changing" - }, - { - "start": "39:31.00", - "stop": "39:40.08", - "speaker": "Tutor", - "dialogue": "the other variable on the other axis is changing, and what happens in the middle is describing the relationship between how they are changing together." - }, - { - "start": "39:40.96", - "stop": "39:43.00", - "speaker": "Tutor", - "dialogue": "You're a very powerful maththinker." - }, - { - "start": "39:43.56", - "stop": "39:44.64", - "speaker": "Tutor", - "dialogue": "I was awesome to-day" - }, - { - "start": "39:45.76", - "stop": "39:46.08", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "39:47.68", - "stop": "39:53.04", - "speaker": "Tutor", - "dialogue": "You know that you are also helping us learn more about what this experience is like for students, right?" - }, - { - "start": "39:53.84", - "stop": "39:53.88", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "39:54.64", - "stop": "39:57.32", - "speaker": "Tutor", - "dialogue": "So, um, just a couple of follow up questions." - }, - { - "start": "39:58.32", - "stop": "40:03.72", - "speaker": "Tutor", - "dialogue": "Is there anything you feel like you learned or you're thinking differently about after working together today?" - }, - { - "start": "40:06.24", - "stop": "40:12.28", - "speaker": "Student", - "dialogue": "Um, I refresh my memory on what a piece was graph is." - }, - { - "start": "40:14.60", - "stop": "40:18.28", - "speaker": "Tutor", - "dialogue": "Cool, what about the experience?" - }, - { - "start": "40:18.40", - "stop": "40:18.88", - "speaker": "Tutor", - "dialogue": "in general?" - }, - { - "start": "40:19.40", - "stop": "40:20.32", - "speaker": "Tutor", - "dialogue": "what was helpful?" - }, - { - "start": "40:21.00", - "stop": "40:25.96", - "speaker": "Tutor", - "dialogue": "What wasn't helpful, or what should we keep doing or think about changing to make it better?" - }, - { - "start": "40:27.68", - "stop": "40:36.24", - "speaker": "Student", - "dialogue": "I think being able to see like where you're pointing is pretty helpful and that you can see where I'm pointing, so you can see my thought process." - }, - { - "start": "40:37.44", - "stop": "40:38.60", - "speaker": "Tutor", - "dialogue": "Yeah, that's cool." - }, - { - "start": "40:38.88", - "stop": "40:39.12", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "40:39.28", - "stop": "40:39.68", - "speaker": "Tutor", - "dialogue": "What else?" - }, - { - "start": "40:42.60", - "stop": "40:45.08", - "speaker": "Student", - "dialogue": "Okey, like, it's kind of hard to write out." - }, - { - "start": "40:46.60", - "stop": "40:59.92", - "speaker": "Student", - "dialogue": "Like, because, um, I'm using the like the mouse, so it's kind of hard to make it look neat, but that's not that big of a deal 'cause it's so legible." - }, - { - "start": "41:01.48", - "stop": "41:05.20", - "speaker": "Tutor", - "dialogue": "Yeah, I agree learning how to write with a mouse or a track pad." - }, - { - "start": "41:06.80", - "stop": "41:06.84", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "41:07.00", - "stop": "41:08.16", - "speaker": "Tutor", - "dialogue": "See how I'm writing too." - }, - { - "start": "41:09.08", - "stop": "41:10.84", - "speaker": "Tutor", - "dialogue": "It's definitely much more challenging." - }, - { - "start": "41:10.92", - "stop": "41:12.48", - "speaker": "Tutor", - "dialogue": "I wish I had a pin also." - }, - { - "start": "41:14.00", - "stop": "41:14.04", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "41:14.20", - "stop": "41:16.12", - "speaker": "Tutor", - "dialogue": "One that I could physically hold to write on." - }, - { - "start": "41:16.92", - "stop": "41:18.00", - "speaker": "Tutor", - "dialogue": "Yeah, that's cool." - }, - { - "start": "41:18.16", - "stop": "41:19.40", - "speaker": "Tutor", - "dialogue": "Anything else that would be helpful." - }, - { - "start": "41:21.04", - "stop": "41:23.12", - "speaker": "Student", - "dialogue": "Um, I think that's." - }, - { - "start": "41:24.08", - "stop": "41:24.48", - "speaker": "Tutor", - "dialogue": "Awesome." - }, - { - "start": "41:25.16", - "stop": "41:28.76", - "speaker": "Tutor", - "dialogue": "Well, like I said, you're an amazing powerful math thinker." - }, - { - "start": "41:29.32", - "stop": "41:30.56", - "speaker": "Tutor", - "dialogue": "Own your voice." - }, - { - "start": "41:31.12", - "stop": "41:37.32", - "speaker": "Tutor", - "dialogue": "You have a lot to share, and keep doing that whether you're in life or in a math class." - }, - { - "start": "41:38.60", - "stop": "41:39.08", - "speaker": "Student", - "dialogue": "Oy." - }, - { - "start": "41:39.48", - "stop": "41:42.60", - "speaker": "Tutor", - "dialogue": "Awesome, and it's evening there, right?" - }, - { - "start": "41:44.72", - "stop": "41:44.92", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "41:45.04", - "stop": "41:46.80", - "speaker": "Tutor", - "dialogue": "I think it's evening where you are, isn't it?" - }, - { - "start": "41:48.00", - "stop": "41:48.16", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "41:48.36", - "stop": "41:53.24", - "speaker": "Tutor", - "dialogue": "Yeah, I was going to say have a good afternoon, but I think it's a good evening for you and a good weekend." - }, - { - "start": "41:54.48", - "stop": "41:54.72", - "speaker": "Student", - "dialogue": "Thank you." - } -] \ No newline at end of file diff --git a/data/amber/7152022EOA-1.json b/data/amber/7152022EOA-1.json deleted file mode 100644 index 6f7a049..0000000 --- a/data/amber/7152022EOA-1.json +++ /dev/null @@ -1,2300 +0,0 @@ -[ - { - "start": "00:01.24", - "stop": "00:17.24", - "speaker": "Tutor", - "dialogue": "Okay, so the first thing you can do is close your chat box to make more room for your workspace, because we'll just be talking back and forth and then sharing this whiteboard on the left hand side of your screen." - }, - { - "start": "00:17.52", - "stop": "00:18.64", - "speaker": "Tutor", - "dialogue": "Do you see some tools?" - }, - { - "start": "00:21.24", - "stop": "00:21.44", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "00:21.92", - "stop": "00:23.60", - "speaker": "Tutor", - "dialogue": "And do you see my arrow moving?" - }, - { - "start": "00:24.52", - "stop": "00:24.72", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "00:25.08", - "stop": "00:29.68", - "speaker": "Tutor", - "dialogue": "Okay, so the top tool that arrow is our select arrow." - }, - { - "start": "00:30.20", - "stop": "00:35.12", - "speaker": "Tutor", - "dialogue": "So when you want to select something to either move it or erase it, That's the arrow you use." - }, - { - "start": "00:36.56", - "stop": "00:40.48", - "speaker": "Tutor", - "dialogue": "The pencil is the, obviously, the one that looks like a pencil." - }, - { - "start": "00:41.04", - "stop": "00:45.96", - "speaker": "Tutor", - "dialogue": "When you click on it, something pops up here that has color and size." - }, - { - "start": "00:46.60", - "stop": "00:50.32", - "speaker": "Tutor", - "dialogue": "Don't you want to change the color of what you're drawing or the size you can do that?" - }, - { - "start": "00:50.48", - "stop": "01:00.64", - "speaker": "Tutor", - "dialogue": "There you can use a textbox to type if you'd like, and then if you want to erase something, whatever you do, don't hit the trash can button." - }, - { - "start": "01:01.72", - "stop": "01:05.48", - "speaker": "Tutor", - "dialogue": "That will erase everything and there's no way to get back your work." - }, - { - "start": "01:07.28", - "stop": "01:07.32", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "01:07.56", - "stop": "01:10.20", - "speaker": "Tutor", - "dialogue": "If you change your mind, do you want to erase something?" - }, - { - "start": "01:10.48", - "stop": "01:12.00", - "speaker": "Tutor", - "dialogue": "You click that select arrow." - }, - { - "start": "01:13.20", - "stop": "01:18.52", - "speaker": "Tutor", - "dialogue": "Select whatever it is you either want to move or erase En." - }, - { - "start": "01:18.64", - "stop": "01:23.12", - "speaker": "Tutor", - "dialogue": "If you want to erase it, then you use the arrow that has an X in it." - }, - { - "start": "01:24.08", - "stop": "01:26.88", - "speaker": "Tutor", - "dialogue": "You click that, and it will erase what you've selected." - }, - { - "start": "01:28.96", - "stop": "01:29.40", - "speaker": "Student", - "dialogue": "Practice." - }, - { - "start": "01:29.56", - "stop": "01:31.20", - "speaker": "Tutor", - "dialogue": "Drawing and erasing what you draw." - }, - { - "start": "01:41.56", - "stop": "01:41.80", - "speaker": "Student", - "dialogue": "Nice." - }, - { - "start": "01:41.96", - "stop": "01:43.12", - "speaker": "Tutor", - "dialogue": "Any questions on the tools?" - }, - { - "start": "01:44.04", - "stop": "01:44.92", - "speaker": "Student", - "dialogue": "No, okay." - }, - { - "start": "01:45.32", - "stop": "01:50.04", - "speaker": "Tutor", - "dialogue": "Then, as far as how we will interact together, we'll be talking back and forth like this." - }, - { - "start": "01:51.20", - "stop": "01:55.52", - "speaker": "Tutor", - "dialogue": "it's really cool for you to talk out loud as much as you can." - }, - { - "start": "01:55.92", - "stop": "02:00.28", - "speaker": "Tutor", - "dialogue": "so whenever you're thinking about something, you know how, there's that quiet voice inside your head." - }, - { - "start": "02:01.12", - "stop": "02:08.20", - "speaker": "Tutor", - "dialogue": "If you can say it out loud, it really helps me know how you're thinking and how to help you learn next." - }, - { - "start": "02:09.72", - "stop": "02:15.96", - "speaker": "Tutor", - "dialogue": "And if I ask you a question, it doesn't mean that you got something wrong." - }, - { - "start": "02:16.08", - "stop": "02:19.40", - "speaker": "Tutor", - "dialogue": "necessarily, it just means I want to know more about your thinking." - }, - { - "start": "02:21.28", - "stop": "02:25.32", - "speaker": "Tutor", - "dialogue": "Then if I ask you a question, and you're like Uh, I'm not sure." - }, - { - "start": "02:26.12", - "stop": "02:33.16", - "speaker": "Tutor", - "dialogue": "Hum, just verbalize that and say I need some time to think about that, then I'll be quiet so that I don't interrupt your thinking." - }, - { - "start": "02:34.36", - "stop": "02:35.44", - "speaker": "Student", - "dialogue": "Okay, cool." - }, - { - "start": "02:36.60", - "stop": "02:36.64", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "02:36.92", - "stop": "02:37.00", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "02:37.08", - "stop": "02:38.08", - "speaker": "Tutor", - "dialogue": "Right, do you have any questions?" - }, - { - "start": "02:38.92", - "stop": "02:39.88", - "speaker": "Student", - "dialogue": "No, awesome." - }, - { - "start": "02:40.20", - "stop": "02:41.60", - "speaker": "Tutor", - "dialogue": "I'm going to change the screen, then." - }, - { - "start": "02:43.28", - "stop": "02:45.08", - "speaker": "Tutor", - "dialogue": "Do you see something different on the screen now?" - }, - { - "start": "02:46.12", - "stop": "02:47.16", - "speaker": "Student", - "dialogue": "Yeah, all right." - }, - { - "start": "02:47.60", - "stop": "02:55.00", - "speaker": "Tutor", - "dialogue": "Take a minute to get familiar with what's on that screen and then describe to me what you think is happening in this situation." - }, - { - "start": "02:56.76", - "stop": "02:56.92", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "03:12.16", - "stop": "03:12.28", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "03:12.56", - "stop": "03:16.36", - "speaker": "Student", - "dialogue": "So I think that the map is like showing." - }, - { - "start": "03:18.76", - "stop": "03:18.80", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "03:19.12", - "stop": "03:31.20", - "speaker": "Student", - "dialogue": "Kind of like the distance between the two provinces, and I guess that since it's a map, it might have like a scale, so it might say like, um, like, Every centimeter is like fifteen miles." - }, - { - "start": "03:40.12", - "stop": "03:40.24", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "03:41.04", - "stop": "03:43.28", - "speaker": "Student", - "dialogue": "Also like I don't know if they're called." - }, - { - "start": "03:43.28", - "stop": "03:52.44", - "speaker": "Student", - "dialogue": "I'm gon to call them like little islands like those like they're not circles where they're kind of like splotches that have like grey shading, and maybe say those are like the States." - }, - { - "start": "04:00.12", - "stop": "04:00.16", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "04:00.36", - "stop": "04:00.40", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "04:00.56", - "stop": "04:01.00", - "speaker": "Tutor", - "dialogue": "Distance." - }, - { - "start": "04:01.24", - "stop": "04:06.84", - "speaker": "Student", - "dialogue": "Between the states, and also like, how much larger one state is compared to the other maybe." - }, - { - "start": "04:07.16", - "stop": "04:09.20", - "speaker": "Tutor", - "dialogue": "Oh, okay, so cool thinking." - }, - { - "start": "04:09.64", - "stop": "04:15.32", - "speaker": "Tutor", - "dialogue": "So Providence is a city and then New York is a city, and this is kind of showing you the area of that city" - }, - { - "start": "04:16.28", - "stop": "04:22.88", - "speaker": "Tutor", - "dialogue": "And you're thinking that maybe we could compare the size of the cities, Nice, anything else we could measure." - }, - { - "start": "04:27.84", - "stop": "04:27.96", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "04:28.28", - "stop": "04:28.32", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "04:28.40", - "stop": "04:28.84", - "speaker": "Student", - "dialogue": "Don't think." - }, - { - "start": "04:29.48", - "stop": "04:36.24", - "speaker": "Tutor", - "dialogue": "Oka, I am going to uncover something and you tell me how it's similar or different to what you were thinking about." - }, - { - "start": "04:41.08", - "stop": "04:51.52", - "speaker": "Student", - "dialogue": "Um, so this is like somewhat similar to what I was thinking about because it shows like the distance that is covered over time." - }, - { - "start": "04:51.56", - "stop": "04:52.48", - "speaker": "Student", - "dialogue": "but I didn't mention." - }, - { - "start": "04:52.88", - "stop": "04:55.60", - "speaker": "Student", - "dialogue": "I didn't mention like there's like a constant" - }, - { - "start": "04:55.80", - "stop": "04:59.16", - "speaker": "Student", - "dialogue": "Ro rate of time that we're going out like I, it does on the graph." - }, - { - "start": "05:05.40", - "stop": "05:05.52", - "speaker": "Tutor", - "dialogue": "Can?" - }, - { - "start": "05:05.60", - "stop": "05:06.44", - "speaker": "Student", - "dialogue": "You, please repeat that." - }, - { - "start": "05:06.76", - "stop": "05:09.44", - "speaker": "Tutor", - "dialogue": "So you see some similarities and some differences?" - }, - { - "start": "05:10.28", - "stop": "05:10.44", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "05:11.40", - "stop": "05:14.88", - "speaker": "Tutor", - "dialogue": "You said Constant rate of time on the graph." - }, - { - "start": "05:15.36", - "stop": "05:16.32", - "speaker": "Tutor", - "dialogue": "Where do you see that?" - }, - { - "start": "05:16.44", - "stop": "05:17.32", - "speaker": "Tutor", - "dialogue": "And what does that mean?" - }, - { - "start": "05:18.96", - "stop": "05:24.76", - "speaker": "Student", - "dialogue": "Um, I think it's around point bum." - }, - { - "start": "05:25.76", - "stop": "05:28.16", - "speaker": "Student", - "dialogue": "I think it's like all the straight lines on the graph" - }, - { - "start": "05:28.28", - "stop": "05:30.40", - "speaker": "Student", - "dialogue": "I would say are constant, I guess." - }, - { - "start": "05:32.44", - "stop": "05:32.56", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "05:34.72", - "stop": "05:34.76", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "05:35.56", - "stop": "05:35.80", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "05:35.92", - "stop": "05:35.96", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "05:36.12", - "stop": "05:40.08", - "speaker": "Tutor", - "dialogue": "You know something about when we have straight lines, something is constant." - }, - { - "start": "05:41.28", - "stop": "05:41.44", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "05:41.76", - "stop": "05:46.80", - "speaker": "Tutor", - "dialogue": "And D to E is not a straight line, so is it constant or not?" - }, - { - "start": "05:48.04", - "stop": "05:49.48", - "speaker": "Student", - "dialogue": "It's probably not constant." - }, - { - "start": "05:50.24", - "stop": "05:59.64", - "speaker": "Tutor", - "dialogue": "What is that it that is constant, or what is it that is not constant in this situation?" - }, - { - "start": "06:02.40", - "stop": "06:04.32", - "speaker": "Student", - "dialogue": "Can I have time to think absolutely?" - }, - { - "start": "06:29.52", - "stop": "06:29.64", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "06:29.68", - "stop": "06:29.72", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "06:29.80", - "stop": "06:30.00", - "speaker": "Tutor", - "dialogue": "Would?" - }, - { - "start": "06:30.08", - "stop": "06:30.28", - "speaker": "Student", - "dialogue": "Say." - }, - { - "start": "06:30.36", - "stop": "06:30.40", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "06:30.80", - "stop": "06:31.00", - "speaker": "Student", - "dialogue": "When?" - }, - { - "start": "06:31.12", - "stop": "06:31.16", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "06:31.32", - "stop": "06:32.04", - "speaker": "Student", - "dialogue": "Lines are straight." - }, - { - "start": "06:32.20", - "stop": "06:35.48", - "speaker": "Student", - "dialogue": "The think that's constant is the time or the hours." - }, - { - "start": "06:36.92", - "stop": "06:42.64", - "speaker": "Tutor", - "dialogue": "Okay, so one of these variables is constant when the line is straight?" - }, - { - "start": "06:44.12", - "stop": "06:44.32", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "06:44.72", - "stop": "06:45.76", - "speaker": "Tutor", - "dialogue": "That's your current thinking." - }, - { - "start": "06:46.64", - "stop": "06:46.84", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "06:47.32", - "stop": "06:47.60", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "06:48.20", - "stop": "06:56.04", - "speaker": "Tutor", - "dialogue": "okay, so now using the map and the graph, can you describe what's happening in each stage of the journey?" - }, - { - "start": "07:00.04", - "stop": "07:02.12", - "speaker": "Student", - "dialogue": "So you want me to describe like?" - }, - { - "start": "07:03.16", - "stop": "07:04.04", - "speaker": "Student", - "dialogue": "What has hap like?" - }, - { - "start": "07:05.64", - "stop": "07:05.88", - "speaker": "Tutor", - "dialogue": "What's" - }, - { - "start": "07:05.96", - "stop": "07:08.96", - "speaker": "Student", - "dialogue": "Happening on the graph or just using both?" - }, - { - "start": "07:09.28", - "stop": "07:09.84", - "speaker": "Tutor", - "dialogue": "Using both." - }, - { - "start": "07:10.52", - "stop": "07:17.80", - "speaker": "Student", - "dialogue": "Oh, okay, so like I think using both someone is traveling through like they're using the graph." - }, - { - "start": "07:18.48", - "stop": "07:20.00", - "speaker": "Student", - "dialogue": "Um, like to like um n the map." - }, - { - "start": "07:20.20", - "stop": "07:27.00", - "speaker": "Student", - "dialogue": "Sorry to figure out where they're going and the graph reflects like the distance and the hours over time, I guess." - }, - { - "start": "07:28.12", - "stop": "07:29.16", - "speaker": "Tutor", - "dialogue": "Cool explanation." - }, - { - "start": "07:30.16", - "stop": "07:32.64", - "speaker": "Tutor", - "dialogue": "Where do you see these points on the map?" - }, - { - "start": "07:33.24", - "stop": "07:35.52", - "speaker": "Tutor", - "dialogue": "Wre, might they be if you label them?" - }, - { - "start": "07:38.56", - "stop": "07:42.16", - "speaker": "Student", - "dialogue": "Um, probably like between." - }, - { - "start": "07:45.84", - "stop": "07:45.88", - "speaker": "Tutor", - "dialogue": "D." - }, - { - "start": "07:46.24", - "stop": "07:46.88", - "speaker": "Student", - "dialogue": "To point F." - }, - { - "start": "07:53.36", - "stop": "07:55.52", - "speaker": "Tutor", - "dialogue": "What's happening on the map from D to F?" - }, - { - "start": "07:56.04", - "stop": "07:57.36", - "speaker": "Tutor", - "dialogue": "Where do you think those would be?" - }, - { - "start": "07:59.84", - "stop": "08:04.64", - "speaker": "Student", - "dialogue": "U as it gets closer to the providenceere." - }, - { - "start": "08:04.80", - "stop": "08:07.76", - "speaker": "Tutor", - "dialogue": "Does our journey start from where does the car journey start?" - }, - { - "start": "08:07.92", - "stop": "08:09.00", - "speaker": "Tutor", - "dialogue": "Show me with your arrow." - }, - { - "start": "08:12.44", - "stop": "08:13.24", - "speaker": "Student", - "dialogue": "Caseymarro." - }, - { - "start": "08:13.52", - "stop": "08:18.04", - "speaker": "Tutor", - "dialogue": "Yeah, So you, we could drive from Newark to Providence?" - }, - { - "start": "08:19.20", - "stop": "08:24.04", - "speaker": "Tutor", - "dialogue": "In this situation, we are pretending that we are starting in Providence." - }, - { - "start": "08:24.88", - "stop": "08:25.76", - "speaker": "Student", - "dialogue": "Okay, okay?" - }, - { - "start": "08:26.92", - "stop": "08:30.56", - "speaker": "Tutor", - "dialogue": "So if your arrow was the car, how was it going to travel?" - }, - { - "start": "08:32.04", - "stop": "08:33.68", - "speaker": "Student", - "dialogue": "Um, down south." - }, - { - "start": "08:34.08", - "stop": "08:44.68", - "speaker": "Tutor", - "dialogue": "Okay, on the map where I'm sorry, On the graph which one of those points represents Providence?" - }, - { - "start": "08:47.76", - "stop": "08:49.24", - "speaker": "Student", - "dialogue": "Um, probably point F." - }, - { - "start": "08:50.96", - "stop": "08:51.84", - "speaker": "Tutor", - "dialogue": "What's your prediction?" - }, - { - "start": "08:51.92", - "stop": "08:52.92", - "speaker": "Tutor", - "dialogue": "Why do you think it's point" - }, - { - "start": "08:53.00", - "stop": "08:53.04", - "speaker": "Tutor", - "dialogue": "F?" - }, - { - "start": "08:55.04", - "stop": "08:55.76", - "speaker": "Student", - "dialogue": "Um, because." - }, - { - "start": "08:57.76", - "stop": "08:57.80", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "08:58.08", - "stop": "09:09.84", - "speaker": "Student", - "dialogue": "Kind of like, because well, the bottom of the graph at point A is like more straight and linear, and like starting from like new work up is a little bit more straight than it is going from Providence down." - }, - { - "start": "09:10.44", - "stop": "09:21.20", - "speaker": "Student", - "dialogue": "so I'd also yeah, because that's where it gets like, more like squiggly and on the map it also gets squiggly as well, so I'd say like Providence is point F." - }, - { - "start": "09:23.24", - "stop": "09:31.12", - "speaker": "Tutor", - "dialogue": "Great job of explaining your thinking, so you're saying if I start from here, this line looks more similar to how the map looks." - }, - { - "start": "09:32.24", - "stop": "09:32.44", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "09:34.64", - "stop": "09:40.68", - "speaker": "Tutor", - "dialogue": "Whenever we are graphing something, where does our graph start?" - }, - { - "start": "09:42.20", - "stop": "09:49.44", - "speaker": "Tutor", - "dialogue": "Does it start at the top, the middle or the origin, or somewhere else when we read a girm?" - }, - { - "start": "09:52.16", - "stop": "09:55.16", - "speaker": "Student", - "dialogue": "I guess it depends, but um?" - }, - { - "start": "09:58.20", - "stop": "09:58.24", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "09:58.28", - "stop": "10:05.32", - "speaker": "Student", - "dialogue": "Would usually say it starts n T towards the origin, or sometimes like in the middle of the graph, but definitely not like all the way." - }, - { - "start": "10:05.44", - "stop": "10:08.16", - "speaker": "Tutor", - "dialogue": "To tra, Ah, yeah, so a graph can start anywhere." - }, - { - "start": "10:08.80", - "stop": "10:09.36", - "speaker": "Tutor", - "dialogue": "Good thinking." - }, - { - "start": "10:10.36", - "stop": "10:18.52", - "speaker": "Tutor", - "dialogue": "This graph is keeping track of the distance travel and the relationship to the time that has taken to travel." - }, - { - "start": "10:20.72", - "stop": "10:31.92", - "speaker": "Tutor", - "dialogue": "So at this point, Ah, let's do this one." - }, - { - "start": "10:32.76", - "stop": "10:42.84", - "speaker": "Tutor", - "dialogue": "At this point, how far has the car travelled and how much time has passed." - }, - { - "start": "10:45.04", - "stop": "10:45.20", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "10:47.12", - "stop": "10:47.16", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "10:47.28", - "stop": "10:53.72", - "speaker": "Student", - "dialogue": "Car has traveled fifty miles and they are about an hour and a half into their journey." - }, - { - "start": "10:54.00", - "stop": "10:59.36", - "speaker": "Tutor", - "dialogue": "Oka, I like the way you describe that an hour and a half into their journey using the graph" - }, - { - "start": "11:00.08", - "stop": "11:01.64", - "speaker": "Tutor", - "dialogue": "Where do they begin their journey?" - }, - { - "start": "11:06.32", - "stop": "11:06.36", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "11:09.28", - "stop": "11:09.32", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "11:09.52", - "stop": "11:11.52", - "speaker": "Student", - "dialogue": "Where is in like the area or?" - }, - { - "start": "11:12.36", - "stop": "11:15.36", - "speaker": "Tutor", - "dialogue": "What point represents the beginning of the journey?" - }, - { - "start": "11:15.76", - "stop": "11:17.28", - "speaker": "Student", - "dialogue": "Oh, point a, how come?" - }, - { - "start": "11:18.44", - "stop": "11:18.76", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "11:18.92", - "stop": "11:25.52", - "speaker": "Student", - "dialogue": "It's the start of the graph and also there's zero hours and zero distance traveled, So that would like initiate." - }, - { - "start": "11:25.56", - "stop": "11:28.68", - "speaker": "Student", - "dialogue": "They haven't traveled anywhere yet, but they will when the journey starts." - }, - { - "start": "11:29.24", - "stop": "11:39.68", - "speaker": "Tutor", - "dialogue": "Okay, so if our journey starts in Providence, and you've just did a great job of describing that point, A represents zero miles traveled and zero hours." - }, - { - "start": "11:39.84", - "stop": "11:42.60", - "speaker": "Tutor", - "dialogue": "So that's the start of their journey, Where would point" - }, - { - "start": "11:42.72", - "stop": "11:44.12", - "speaker": "Tutor", - "dialogue": "A be located on the map?" - }, - { - "start": "11:46.84", - "stop": "11:47.36", - "speaker": "Student", - "dialogue": "Providence." - }, - { - "start": "11:48.88", - "stop": "11:50.56", - "speaker": "Tutor", - "dialogue": "Label where you think it needs to be." - }, - { - "start": "11:55.12", - "stop": "11:57.84", - "speaker": "Student", - "dialogue": "You want to circle like where they start put." - }, - { - "start": "11:57.92", - "stop": "12:00.76", - "speaker": "Tutor", - "dialogue": "A point on the map and then label it with a." - }, - { - "start": "12:02.76", - "stop": "12:02.80", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "12:02.92", - "stop": "12:24.80", - "speaker": "Tutor", - "dialogue": "That we can work back and forth between them takes a minute to get used to how all the tools work, huh?" - }, - { - "start": "12:25.92", - "stop": "12:25.96", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "12:26.16", - "stop": "12:26.92", - "speaker": "Tutor", - "dialogue": "It's totally cool." - }, - { - "start": "12:27.12", - "stop": "12:27.96", - "speaker": "Tutor", - "dialogue": "Experiment with them." - }, - { - "start": "12:32.76", - "stop": "12:35.12", - "speaker": "Student", - "dialogue": "Okay, ykay." - }, - { - "start": "12:35.28", - "stop": "12:36.44", - "speaker": "Tutor", - "dialogue": "And you're going to keep going?" - }, - { - "start": "12:36.84", - "stop": "12:44.72", - "speaker": "Tutor", - "dialogue": "Where would you label Point B, and then be ready to explain why you would put Point B where you did?" - }, - { - "start": "12:48.08", - "stop": "12:48.28", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "13:18.44", - "stop": "13:20.36", - "speaker": "Tutor", - "dialogue": "Akay, why did you chose to U?" - }, - { - "start": "13:23.44", - "stop": "13:29.20", - "speaker": "Student", - "dialogue": "Um, because onu, the graph it has more of." - }, - { - "start": "13:31.96", - "stop": "13:32.08", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "13:32.12", - "stop": "13:36.28", - "speaker": "Student", - "dialogue": "Wait, okay, Um, I mean, I'm not sure if this is correct or not, but I just saw was something." - }, - { - "start": "13:36.76", - "stop": "13:46.60", - "speaker": "Student", - "dialogue": "Since it says one hundred fifty miles and I'm guessing like that's like the time between, Like the distance between the T, like Providence all the way to Newark." - }, - { - "start": "13:47.04", - "stop": "13:57.32", - "speaker": "Student", - "dialogue": "Maybe like, Since, like one fifty, Um, divided by one, fifty, divided by two would be seventy five miles in the middle." - }, - { - "start": "13:57.80", - "stop": "14:03.96", - "speaker": "Student", - "dialogue": "Then if it's fifty, which would be, I think, wait, wouldn't that mean that?" - }, - { - "start": "14:05.24", - "stop": "14:05.48", - "speaker": "Student", - "dialogue": "Okay?" - }, - { - "start": "14:05.52", - "stop": "14:06.20", - "speaker": "Student", - "dialogue": "Wait, never mind." - }, - { - "start": "14:06.36", - "stop": "14:07.28", - "speaker": "Student", - "dialogue": "okay, um." - }, - { - "start": "14:08.84", - "stop": "14:11.08", - "speaker": "Tutor", - "dialogue": "You're doing such a good job of doing it out loud." - }, - { - "start": "14:11.24", - "stop": "14:11.84", - "speaker": "Tutor", - "dialogue": "Keep doing that." - }, - { - "start": "14:12.04", - "stop": "14:12.64", - "speaker": "Tutor", - "dialogue": "That's awesome." - }, - { - "start": "14:13.80", - "stop": "14:14.36", - "speaker": "Student", - "dialogue": "Oh, thank you." - }, - { - "start": "14:15.28", - "stop": "14:21.48", - "speaker": "Student", - "dialogue": "Um, so I said Point View would be there because it seems like a good place where it'ld be like." - }, - { - "start": "14:22.76", - "stop": "14:22.96", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "14:23.00", - "stop": "14:40.20", - "speaker": "Student", - "dialogue": "Not sure like how I don't know I, It just seems like where it would be kind of, 'cause it like the graph is like straight until then, but like the graph also is like the correlation between the distance and the time, so I wouldn't say that's extremely accurate as to." - }, - { - "start": "14:40.96", - "stop": "14:42.20", - "speaker": "Student", - "dialogue": "I'm not sure why I put it there." - }, - { - "start": "14:42.36", - "stop": "14:43.28", - "speaker": "Student", - "dialogue": "honestly, I don't know." - }, - { - "start": "14:43.72", - "stop": "14:44.04", - "speaker": "Tutor", - "dialogue": "Love it." - }, - { - "start": "14:44.16", - "stop": "14:45.12", - "speaker": "Tutor", - "dialogue": "You're like I don't know." - }, - { - "start": "14:45.32", - "stop": "14:49.60", - "speaker": "Tutor", - "dialogue": "My gut tells me it's there, but I'm still working on describing why I think it's there." - }, - { - "start": "14:50.60", - "stop": "14:51.68", - "speaker": "Student", - "dialogue": "Here, cool so." - }, - { - "start": "14:51.92", - "stop": "14:52.44", - "speaker": "Tutor", - "dialogue": "Let's try this." - }, - { - "start": "14:52.80", - "stop": "15:00.08", - "speaker": "Tutor", - "dialogue": "Try to label the rest of the points, and as you're working through those, be thinking about why it would make sense to put em there." - }, - { - "start": "15:00.80", - "stop": "15:04.12", - "speaker": "Tutor", - "dialogue": "And how would you explain to me why you put them where you did?" - }, - { - "start": "16:42.24", - "stop": "16:42.64", - "speaker": "Tutor", - "dialogue": "Mmhmm." - }, - { - "start": "17:08.20", - "stop": "17:08.48", - "speaker": "Student", - "dialogue": "Six." - }, - { - "start": "18:05.64", - "stop": "18:05.88", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "18:06.12", - "stop": "18:06.28", - "speaker": "Student", - "dialogue": "Think." - }, - { - "start": "18:06.32", - "stop": "18:06.48", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "18:06.56", - "stop": "18:06.76", - "speaker": "Student", - "dialogue": "Done." - }, - { - "start": "18:09.48", - "stop": "18:09.68", - "speaker": "Tutor", - "dialogue": "Help." - }, - { - "start": "18:09.72", - "stop": "18:09.76", - "speaker": "Student", - "dialogue": "Me." - }, - { - "start": "18:14.80", - "stop": "18:14.92", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "18:15.00", - "stop": "18:20.84", - "speaker": "Student", - "dialogue": "So I started out by doing point F, because that seemed to symbolize the end of the journey." - }, - { - "start": "18:21.52", - "stop": "18:24.00", - "speaker": "Student", - "dialogue": "So they're G trying to get to new." - }, - { - "start": "18:25.24", - "stop": "18:25.44", - "speaker": "Tutor", - "dialogue": "Wait." - }, - { - "start": "18:28.32", - "stop": "18:28.48", - "speaker": "Student", - "dialogue": "Wait." - }, - { - "start": "18:28.56", - "stop": "18:28.72", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "18:28.76", - "stop": "18:29.80", - "speaker": "Student", - "dialogue": "So sorry, I have a question." - }, - { - "start": "18:30.12", - "stop": "18:33.20", - "speaker": "Student", - "dialogue": "Um, is there destination New York City, or is it New Ark?" - }, - { - "start": "18:33.72", - "stop": "18:37.28", - "speaker": "Tutor", - "dialogue": "So, first of all, never apologize for asking a question." - }, - { - "start": "18:38.12", - "stop": "18:41.00", - "speaker": "Tutor", - "dialogue": "Always ask questions that's important to the learning process." - }, - { - "start": "18:41.16", - "stop": "18:45.84", - "speaker": "Tutor", - "dialogue": "Okay, Okay, whether you're with me or in your class, your voice matters." - }, - { - "start": "18:45.96", - "stop": "18:47.28", - "speaker": "Tutor", - "dialogue": "ask questions all the time." - }, - { - "start": "18:49.00", - "stop": "18:55.68", - "speaker": "Tutor", - "dialogue": "Um, So if we read it says, it shows a car journey from Providence to Newark through New York City." - }, - { - "start": "18:57.32", - "stop": "18:58.44", - "speaker": "Student", - "dialogue": "Okay, so they're going?" - }, - { - "start": "18:59.20", - "stop": "19:02.16", - "speaker": "Student", - "dialogue": "Their destination is Newark, but they're getting there through New York City." - }, - { - "start": "19:02.32", - "stop": "19:02.64", - "speaker": "Student", - "dialogue": "Correct." - }, - { - "start": "19:03.16", - "stop": "19:12.08", - "speaker": "Student", - "dialogue": "Okay, so if Newyark Newark is their destination, then I put it at point F, which would be all the way a the end of the journey." - }, - { - "start": "19:12.16", - "stop": "19:23.20", - "speaker": "Student", - "dialogue": "So that made sense to me, and then I tried to calculate like what halfway through their journey would be, And that would be like seventy five, but there isn't like seventy five." - }, - { - "start": "19:23.60", - "stop": "19:28.32", - "speaker": "Student", - "dialogue": "Like listed on the graph for Um amount in distance." - }, - { - "start": "19:28.84", - "stop": "20:02.04", - "speaker": "Student", - "dialogue": "So since D was like, I just moved D a little bit farther down from where Um point where I thought like seventy five would be, So I thought seventy five would be around like here, so I just moved it a little bit further down, since seventy five on a hundred are close, and then after I did like a, uh, d and f, um, the others are easy because E would be close to the destination, so I put it around that area and then B would be like close to Um." - }, - { - "start": "20:03.04", - "stop": "20:06.92", - "speaker": "Student", - "dialogue": "A. I think it should be a little farther up, but I'm just going to leave it there." - }, - { - "start": "20:07.20", - "stop": "20:07.28", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "20:07.36", - "stop": "20:12.76", - "speaker": "Student", - "dialogue": "I also put C at the same spot as B, because on the ground there seems to be like a stop" - }, - { - "start": "20:13.36", - "stop": "20:18.44", - "speaker": "Student", - "dialogue": "in like distance, Like, maybe they took a break, but they weren't moving, but time was still passing." - }, - { - "start": "20:19.56", - "stop": "20:22.72", - "speaker": "Tutor", - "dialogue": "Ah, so let's investigate that section on that was really cool." - }, - { - "start": "20:22.76", - "stop": "20:24.04", - "speaker": "Tutor", - "dialogue": "But you started to explain there." - }, - { - "start": "20:25.08", - "stop": "20:29.60", - "speaker": "Tutor", - "dialogue": "You started to use words like this, And am I challenge you to keep using them?" - }, - { - "start": "20:30.72", - "stop": "20:32.00", - "speaker": "Tutor", - "dialogue": "What is?" - }, - { - "start": "20:33.24", - "stop": "20:34.12", - "speaker": "Tutor", - "dialogue": "Do two things at once." - }, - { - "start": "20:36.00", - "stop": "20:43.96", - "speaker": "Tutor", - "dialogue": "What is increasing, what is decreasing, and what is staying the same during each section of the journey?" - }, - { - "start": "20:44.88", - "stop": "20:47.20", - "speaker": "Tutor", - "dialogue": "O, we'll call these our purple power words." - }, - { - "start": "20:48.16", - "stop": "20:49.28", - "speaker": "Tutor", - "dialogue": "This is a Oops." - }, - { - "start": "20:49.32", - "stop": "20:50.24", - "speaker": "Tutor", - "dialogue": "I don't want that color." - }, - { - "start": "20:51.32", - "stop": "20:52.48", - "speaker": "Tutor", - "dialogue": "I want to keep it purple." - }, - { - "start": "20:55.52", - "stop": "21:02.76", - "speaker": "Tutor", - "dialogue": "This is a thing that we can measure that you talked about at the beginning of our session, and it's changing." - }, - { - "start": "21:03.40", - "stop": "21:07.56", - "speaker": "Tutor", - "dialogue": "Is it increasing, decreasing or staying the same during each section?" - }, - { - "start": "21:08.24", - "stop": "21:09.40", - "speaker": "Tutor", - "dialogue": "This is another thing." - }, - { - "start": "21:10.24", - "stop": "21:13.12", - "speaker": "Tutor", - "dialogue": "time in terms of ours, that is changing." - }, - { - "start": "21:14.44", - "stop": "21:17.12", - "speaker": "Tutor", - "dialogue": "Is it increasing decreasing or staying the same?" - }, - { - "start": "21:17.68", - "stop": "21:29.60", - "speaker": "Tutor", - "dialogue": "So go back to point B and C, and thinking about the segment from B to C and those purple power words, What's going on from B to C?" - }, - { - "start": "21:31.44", - "stop": "21:39.08", - "speaker": "Student", - "dialogue": "So from B to c, the distance, or like the miles, come to type it, I'll type." - }, - { - "start": "21:39.16", - "stop": "21:40.60", - "speaker": "Tutor", - "dialogue": "It while you talk, okay?" - }, - { - "start": "21:41.32", - "stop": "21:46.08", - "speaker": "Student", - "dialogue": "Um, So from B to C, the miles is saying the same." - }, - { - "start": "21:47.04", - "stop": "21:49.92", - "speaker": "Student", - "dialogue": "However, the time is increasing." - }, - { - "start": "21:52.08", - "stop": "21:52.12", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "21:52.24", - "stop": "21:54.16", - "speaker": "Student", - "dialogue": "I'm not sure what is decreased them." - }, - { - "start": "21:55.48", - "stop": "21:57.60", - "speaker": "Tutor", - "dialogue": "And maybe nothing is decreasing." - }, - { - "start": "21:58.16", - "stop": "22:03.84", - "speaker": "Tutor", - "dialogue": "But as you're thinking about always with graphs, so not just this situation." - }, - { - "start": "22:04.44", - "stop": "22:06.56", - "speaker": "Tutor", - "dialogue": "think about what what is changing." - }, - { - "start": "22:07.16", - "stop": "22:09.12", - "speaker": "Tutor", - "dialogue": "And that's what we put on each of our axes." - }, - { - "start": "22:09.56", - "stop": "22:11.64", - "speaker": "Tutor", - "dialogue": "Something is changing here." - }, - { - "start": "22:12.20", - "stop": "22:24.28", - "speaker": "Tutor", - "dialogue": "Something is changing here, and we can determine by how much it's changing and we can also determine what way is it changing, increasing, decreasing or staying the same." - }, - { - "start": "22:24.96", - "stop": "22:40.84", - "speaker": "Tutor", - "dialogue": "And the more you challenge yourself to think about those relationships, it helps you understand what's going on in the graph, Because in the graph this is describing how this thing and this thing is changing in relation to each other." - }, - { - "start": "22:41.64", - "stop": "22:50.92", - "speaker": "Tutor", - "dialogue": "You just described that In words from B to C, the miles is staying the same as the time is increasing." - }, - { - "start": "22:51.52", - "stop": "22:55.96", - "speaker": "Tutor", - "dialogue": "This line shows how these two things are changing in relation to each other." - }, - { - "start": "22:58.04", - "stop": "22:58.88", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "23:00.36", - "stop": "23:04.72", - "speaker": "Tutor", - "dialogue": "So now do the same thing with C to D. What's changing?" - }, - { - "start": "23:05.56", - "stop": "23:06.60", - "speaker": "Tutor", - "dialogue": "How is it changing?" - }, - { - "start": "23:08.72", - "stop": "23:10.32", - "speaker": "Tutor", - "dialogue": "and I will type what you say?" - }, - { - "start": "23:15.08", - "stop": "23:24.28", - "speaker": "Student", - "dialogue": "Um, so from C to D, the amount of miles is increasing, and so is the the amount of hours." - }, - { - "start": "23:30.16", - "stop": "23:31.92", - "speaker": "Tutor", - "dialogue": "Right, did I type what you said?" - }, - { - "start": "23:35.00", - "stop": "23:35.28", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "23:36.00", - "stop": "23:42.88", - "speaker": "Tutor", - "dialogue": "Do you know by how much the miles are increasing and by how much the hours are increasing?" - }, - { - "start": "23:45.08", - "stop": "23:55.20", - "speaker": "Student", - "dialogue": "Um, so increa the miles increase fifty miles, and then the amount of hours increased by one hour." - }, - { - "start": "23:56.64", - "stop": "24:01.32", - "speaker": "Tutor", - "dialogue": "And you did a good job of pointing when you were explaining it, so I could see exactly where you were looking." - }, - { - "start": "24:02.04", - "stop": "24:04.16", - "speaker": "Tutor", - "dialogue": "Now Label it in some way." - }, - { - "start": "24:04.20", - "stop": "24:11.28", - "speaker": "Tutor", - "dialogue": "That makes sense to me, because we're going to start talking about each of these sections and how much change is happening." - }, - { - "start": "24:22.04", - "stop": "24:26.04", - "speaker": "Student", - "dialogue": "Do you want me to label like the points like how I was?" - }, - { - "start": "24:29.84", - "stop": "24:29.88", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "24:34.40", - "stop": "24:34.44", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "24:34.56", - "stop": "24:38.96", - "speaker": "Tutor", - "dialogue": "The Gph, you can click the textbox that I started typing and edit." - }, - { - "start": "24:39.08", - "stop": "24:40.96", - "speaker": "Tutor", - "dialogue": "That you can do it in any way" - }, - { - "start": "24:41.00", - "stop": "24:41.84", - "speaker": "Tutor", - "dialogue": "That makes sense for you." - }, - { - "start": "24:42.00", - "stop": "24:46.48", - "speaker": "Tutor", - "dialogue": "But we're going to have to keep track of what's going on here now." - }, - { - "start": "24:46.64", - "stop": "24:51.76", - "speaker": "Tutor", - "dialogue": "more specifically, how much are things changing by, and in what way are they changing." - }, - { - "start": "26:35.48", - "stop": "26:36.60", - "speaker": "Student", - "dialogue": "Okay, I think I'm done." - }, - { - "start": "26:38.92", - "stop": "26:43.00", - "speaker": "Tutor", - "dialogue": "So from C to D, the miles are increasing, and so are the hours." - }, - { - "start": "26:43.44", - "stop": "26:46.04", - "speaker": "Tutor", - "dialogue": "How much are the miles increasing from C to D?" - }, - { - "start": "26:48.00", - "stop": "26:49.68", - "speaker": "Student", - "dialogue": "Um, by fifty miles." - }, - { - "start": "26:50.52", - "stop": "26:59.84", - "speaker": "Tutor", - "dialogue": "So I'm going to put fifty miles over here and is fifty miles just point D, just point C. Or" - }, - { - "start": "27:00.00", - "stop": "27:02.04", - "speaker": "Tutor", - "dialogue": "is it this entire section from C to D?" - }, - { - "start": "27:03.60", - "stop": "27:04.64", - "speaker": "Student", - "dialogue": "The entire section." - }, - { - "start": "27:05.00", - "stop": "27:09.00", - "speaker": "Tutor", - "dialogue": "Okay, and how much is the time changing?" - }, - { - "start": "27:10.48", - "stop": "27:11.24", - "speaker": "Student", - "dialogue": "By one hour." - }, - { - "start": "27:17.44", - "stop": "27:21.28", - "speaker": "Tutor", - "dialogue": "So how come I'm going to move something real quick that you drew." - }, - { - "start": "27:21.36", - "stop": "27:23.68", - "speaker": "Tutor", - "dialogue": "If that's okay, so be, come a little bit closer." - }, - { - "start": "27:24.36", - "stop": "27:38.04", - "speaker": "Tutor", - "dialogue": "So from C to D on the map, it's a kurvey line from C to D. On the graph, Its a straight line." - }, - { - "start": "27:39.68", - "stop": "27:48.52", - "speaker": "Tutor", - "dialogue": "If both of those represent the same section of the journey, how come one of them is a curvey line, and the other is a straight line?" - }, - { - "start": "27:52.24", - "stop": "27:57.72", - "speaker": "Student", - "dialogue": "Um, probably because the one with the curvey line Re represents the map." - }, - { - "start": "27:57.88", - "stop": "27:59.08", - "speaker": "Student", - "dialogue": "So they might have been like." - }, - { - "start": "28:00.04", - "stop": "28:00.32", - "speaker": "Student", - "dialogue": "Maybe" - }, - { - "start": "28:00.36", - "stop": "28:01.20", - "speaker": "Student", - "dialogue": "it's like Mm." - }, - { - "start": "28:01.56", - "stop": "28:02.32", - "speaker": "Student", - "dialogue": "Like highways." - }, - { - "start": "28:02.40", - "stop": "28:04.24", - "speaker": "Student", - "dialogue": "Well, I think it was a highway You." - }, - { - "start": "28:04.48", - "stop": "28:09.36", - "speaker": "Student", - "dialogue": "It would have been identified, but maybe like Um, they have like streets that like curved." - }, - { - "start": "28:09.40", - "stop": "28:24.92", - "speaker": "Student", - "dialogue": "I guess maybe, but since it's on a graph and it's showing the correlation between the distance and hours, and since they were pretty constant, that one was straight, But since this one is like on a map and it's the physical feature, it's it's not straight, Maybh." - }, - { - "start": "28:25.00", - "stop": "28:31.72", - "speaker": "Tutor", - "dialogue": "A nice word there, and the map is showing the physical feature of the road which might have some turns in it." - }, - { - "start": "28:32.72", - "stop": "28:39.84", - "speaker": "Tutor", - "dialogue": "The graph is showing the distance that we've traveleed in relation to the amount of time it took that straight line." - }, - { - "start": "28:39.92", - "stop": "28:42.60", - "speaker": "Tutor", - "dialogue": "You said something about correlation or constant." - }, - { - "start": "28:45.52", - "stop": "28:45.76", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "28:45.96", - "stop": "28:47.28", - "speaker": "Tutor", - "dialogue": "Constant from C to D." - }, - { - "start": "28:50.80", - "stop": "28:51.72", - "speaker": "Student", - "dialogue": "Um, the Am" - }, - { - "start": "28:52.16", - "stop": "28:52.20", - "speaker": "Student", - "dialogue": "like." - }, - { - "start": "28:54.40", - "stop": "28:54.44", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "28:54.64", - "stop": "28:56.48", - "speaker": "Student", - "dialogue": "Amount of time." - }, - { - "start": "28:56.88", - "stop": "29:03.04", - "speaker": "Student", - "dialogue": "No, like both, both are constant time and miles like I think they'd have the same." - }, - { - "start": "29:04.72", - "stop": "29:04.76", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "29:04.92", - "stop": "29:08.16", - "speaker": "Student", - "dialogue": "Want to say unit rate, but I feel like that sounds wrong." - }, - { - "start": "29:08.20", - "stop": "29:08.60", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "29:09.48", - "stop": "29:10.40", - "speaker": "Tutor", - "dialogue": "It is a rate." - }, - { - "start": "29:10.80", - "stop": "29:26.20", - "speaker": "Tutor", - "dialogue": "It is a constant rate, and it is a rate of how much time is traveleed per one hour, And that relationship between miles and hours is another special thing." - }, - { - "start": "29:28.28", - "stop": "29:29.56", - "speaker": "Tutor", - "dialogue": "Do you know what that thing is?" - }, - { - "start": "29:33.20", - "stop": "29:33.36", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "29:35.40", - "stop": "29:35.52", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "29:36.16", - "stop": "29:36.32", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "29:36.48", - "stop": "29:37.84", - "speaker": "Tutor", - "dialogue": "Let's explore this a little bit more." - }, - { - "start": "29:39.12", - "stop": "29:43.08", - "speaker": "Tutor", - "dialogue": "Is A to B a constant relationship between miles and hours." - }, - { - "start": "29:44.40", - "stop": "29:44.44", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "29:44.68", - "stop": "29:48.88", - "speaker": "Tutor", - "dialogue": "Something is the same here, B to C. What happens with the car?" - }, - { - "start": "29:50.52", - "stop": "29:51.40", - "speaker": "Student", - "dialogue": "They stop moving." - }, - { - "start": "29:51.68", - "stop": "29:53.96", - "speaker": "Tutor", - "dialogue": "They stop moving from A to B. Are they moving?" - }, - { - "start": "29:54.96", - "stop": "29:55.12", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "29:55.92", - "stop": "29:58.64", - "speaker": "Tutor", - "dialogue": "B to C, they stop moving, C to D, Are" - }, - { - "start": "29:58.64", - "stop": "29:59.12", - "speaker": "Tutor", - "dialogue": "they moving?" - }, - { - "start": "30:00.00", - "stop": "30:00.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "30:00.88", - "stop": "30:02.12", - "speaker": "Tutor", - "dialogue": "D to E, are they moving?" - }, - { - "start": "30:02.92", - "stop": "30:03.08", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "30:03.72", - "stop": "30:06.40", - "speaker": "Tutor", - "dialogue": "Are they moving in the same way the whole journey?" - }, - { - "start": "30:07.40", - "stop": "30:07.52", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "30:08.64", - "stop": "30:10.44", - "speaker": "Tutor", - "dialogue": "Say more about how they're moving." - }, - { - "start": "30:12.76", - "stop": "30:35.72", - "speaker": "Student", - "dialogue": "Um, so I gus um from A to B. they're moving at constant rate between distance and hours, and same thing as C to D. But then as we get to like D all the way to point F, they're not moving at the same constant rate as they once were, which is what causes like those like swigly lines." - }, - { - "start": "30:36.28", - "stop": "30:42.16", - "speaker": "Tutor", - "dialogue": "And what's the unit that we use to describe that car, and how it's moving?" - }, - { - "start": "30:42.56", - "stop": "30:50.04", - "speaker": "Tutor", - "dialogue": "if it's moving at a constant rate or not know what it's called?" - }, - { - "start": "30:51.64", - "stop": "30:52.92", - "speaker": "Student", - "dialogue": "Can I have some time to think?" - }, - { - "start": "31:30.08", - "stop": "31:30.24", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "31:31.36", - "stop": "31:39.36", - "speaker": "Student", - "dialogue": "Wait, so your question was asking whether like what is the car called in this situation if it was like autograph?" - }, - { - "start": "31:39.60", - "stop": "31:46.80", - "speaker": "Tutor", - "dialogue": "Or or what's the way that we could describe what's the unit we can use to describe the different way this car is moving." - }, - { - "start": "31:47.08", - "stop": "32:00.60", - "speaker": "Tutor", - "dialogue": "You said it's not moving in the same way the whole time, And here you talked about it stopping and going." - }, - { - "start": "32:01.28", - "stop": "32:11.48", - "speaker": "Tutor", - "dialogue": "What do we use to measure or describe how a car moves in terms of its stopping and going, or how quickly it's stopping or going?" - }, - { - "start": "32:16.88", - "stop": "32:17.56", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "32:18.20", - "stop": "32:18.52", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "32:18.96", - "stop": "32:20.44", - "speaker": "Tutor", - "dialogue": "You've talked about this a lot." - }, - { - "start": "32:20.64", - "stop": "32:22.76", - "speaker": "Tutor", - "dialogue": "In words you've said" - }, - { - "start": "32:23.20", - "stop": "32:31.84", - "speaker": "Tutor", - "dialogue": "There is a correlation, or what I would hear you saying as a relationship between miles and time." - }, - { - "start": "32:36.44", - "stop": "32:57.00", - "speaker": "Tutor", - "dialogue": "If I know how far a car has traveled in miles per one hour, I can describe the way the car is moving and how quickly how fast or slow it's going." - }, - { - "start": "32:59.36", - "stop": "33:03.12", - "speaker": "Tutor", - "dialogue": "We describe that as speed." - }, - { - "start": "33:07.92", - "stop": "33:19.96", - "speaker": "Tutor", - "dialogue": "So this relationship that you've been thinking about between miles and hours creates a new thing that we can think about in terms of speed." - }, - { - "start": "33:21.52", - "stop": "33:48.64", - "speaker": "Tutor", - "dialogue": "So when you keep saying something is constant, What's constant from C to D to speed Y, the car is travelling fifty miles per hour from B to C. I'm sorry from C to D. Do I have enough information to figure out the speed during other sections?" - }, - { - "start": "33:51.96", - "stop": "33:53.08", - "speaker": "Student", - "dialogue": "Um, yes." - }, - { - "start": "33:53.92", - "stop": "33:55.32", - "speaker": "Tutor", - "dialogue": "Wait before we go there." - }, - { - "start": "33:56.20", - "stop": "33:57.12", - "speaker": "Tutor", - "dialogue": "We were talking about." - }, - { - "start": "33:57.24", - "stop": "34:00.04", - "speaker": "Tutor", - "dialogue": "The road can be curved here, but this line is straight." - }, - { - "start": "34:01.72", - "stop": "34:09.12", - "speaker": "Tutor", - "dialogue": "So what that sayin is, Physical features of the road are curved, but what remains constant while the car is driving on that curve." - }, - { - "start": "34:16.80", - "stop": "34:17.52", - "speaker": "Student", - "dialogue": "Wait came is." - }, - { - "start": "34:17.76", - "stop": "34:19.00", - "speaker": "Tutor", - "dialogue": "Repeat, yup, yup." - }, - { - "start": "34:19.24", - "stop": "34:20.28", - "speaker": "Tutor", - "dialogue": "So we were exploring." - }, - { - "start": "34:20.44", - "stop": "34:36.36", - "speaker": "Tutor", - "dialogue": "Something was going on from C to D and it was a curvey line here and it was a straight line here, and you said well, C to D. The physical features of the road means that there're some curves in it, but the relationship of miles to ours is still constant." - }, - { - "start": "34:38.76", - "stop": "34:43.88", - "speaker": "Student", - "dialogue": "So what that mea means that they were driving at the same speed, like a constant speed." - }, - { - "start": "34:44.08", - "stop": "34:44.88", - "speaker": "Tutor", - "dialogue": "Beautiful Yp." - }, - { - "start": "34:44.96", - "stop": "34:46.16", - "speaker": "Tutor", - "dialogue": "That's exactly what it means." - }, - { - "start": "34:46.76", - "stop": "34:51.52", - "speaker": "Tutor", - "dialogue": "It was a curby road, but they were still driving a constant fifty miles per hour" - }, - { - "start": "34:51.80", - "stop": "34:57.96", - "speaker": "Tutor", - "dialogue": "during this entire section of the journey from D to E. Does" - }, - { - "start": "34:58.08", - "stop": "35:00.00", - "speaker": "Tutor", - "dialogue": "their speed remain constant or not?" - }, - { - "start": "35:01.20", - "stop": "35:02.32", - "speaker": "Student", - "dialogue": "It's not constant." - }, - { - "start": "35:02.76", - "stop": "35:03.68", - "speaker": "Tutor", - "dialogue": "What about A to B?" - }, - { - "start": "35:04.12", - "stop": "35:05.84", - "speaker": "Tutor", - "dialogue": "is the speed constant or not?" - }, - { - "start": "35:07.16", - "stop": "35:08.96", - "speaker": "Student", - "dialogue": "From a b, the speed is constant." - }, - { - "start": "35:09.20", - "stop": "35:13.32", - "speaker": "Tutor", - "dialogue": "And do you have enough information to determine this speed from A to B?" - }, - { - "start": "35:13.44", - "stop": "35:15.60", - "speaker": "Tutor", - "dialogue": "Do you know how much speed there is?" - }, - { - "start": "35:17.36", - "stop": "35:17.56", - "speaker": "Student", - "dialogue": "M Mi." - }, - { - "start": "35:18.32", - "stop": "35:19.60", - "speaker": "Tutor", - "dialogue": "What do you need to know to do that?" - }, - { - "start": "35:20.80", - "stop": "35:22.80", - "speaker": "Student", - "dialogue": "The miles and the hours." - }, - { - "start": "35:23.96", - "stop": "35:26.48", - "speaker": "Tutor", - "dialogue": "So what would the speed of the car be from A to B?" - }, - { - "start": "35:29.40", - "stop": "35:31.16", - "speaker": "Student", - "dialogue": "Um, fifty." - }, - { - "start": "35:32.04", - "stop": "35:32.52", - "speaker": "Tutor", - "dialogue": "Fifty, what?" - }, - { - "start": "35:34.72", - "stop": "35:35.80", - "speaker": "Student", - "dialogue": "Fifty miles per hour." - } -] \ No newline at end of file diff --git a/data/amber/7152022EOA-2.json b/data/amber/7152022EOA-2.json deleted file mode 100644 index 1c0048a..0000000 --- a/data/amber/7152022EOA-2.json +++ /dev/null @@ -1,872 +0,0 @@ -[ - { - "start": "00:02.72", - "stop": "00:03.52", - "speaker": "Student", - "dialogue": "That was really weird." - }, - { - "start": "00:03.60", - "stop": "00:04.52", - "speaker": "Student", - "dialogue": "I don't know why I did that." - }, - { - "start": "00:05.20", - "stop": "00:05.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:06.28", - "stop": "00:09.56", - "speaker": "Student", - "dialogue": "Did that interrupt your thinking, or do you understand what I'm asking you to think about?" - }, - { - "start": "00:11.40", - "stop": "00:19.52", - "speaker": "Tutor", - "dialogue": "Um, I think you're asking me to put it all together with like the speed and how to figure out the speed with the two graphs, I guess." - }, - { - "start": "00:20.32", - "stop": "00:32.68", - "speaker": "Student", - "dialogue": "And even more specifically, just describe what's happening from A to B. what's happening with distance, speed and time, using these purple words, Okay?" - }, - { - "start": "00:34.16", - "stop": "00:35.96", - "speaker": "Tutor", - "dialogue": "Um, I can't see your screen any more." - }, - { - "start": "00:36.72", - "stop": "00:36.92", - "speaker": "Tutor", - "dialogue": "Oh?" - }, - { - "start": "00:37.32", - "stop": "00:39.40", - "speaker": "Student", - "dialogue": "No, really?" - }, - { - "start": "00:40.36", - "stop": "00:45.56", - "speaker": "Tutor", - "dialogue": "Yeah, it just says ad, text, ad, text, and then like a white screen." - }, - { - "start": "00:46.48", - "stop": "00:47.52", - "speaker": "Student", - "dialogue": "Okay, what about this?" - }, - { - "start": "00:48.44", - "stop": "00:49.64", - "speaker": "Tutor", - "dialogue": "Okay, yeah, I could see it again." - }, - { - "start": "00:49.80", - "stop": "00:49.84", - "speaker": "Student", - "dialogue": "You" - }, - { - "start": "00:50.00", - "stop": "00:50.20", - "speaker": "Student", - "dialogue": "back?" - }, - { - "start": "00:50.92", - "stop": "00:53.12", - "speaker": "Student", - "dialogue": "Yeah, okay, it's weird." - }, - { - "start": "00:53.16", - "stop": "00:53.80", - "speaker": "Student", - "dialogue": "I wonder what's a?" - }, - { - "start": "00:59.48", - "stop": "01:01.76", - "speaker": "Tutor", - "dialogue": "So what do you W me to describe?" - }, - { - "start": "01:01.88", - "stop": "01:06.80", - "speaker": "Student", - "dialogue": "So, from A to Bhm, what's going on with distance?" - }, - { - "start": "01:07.28", - "stop": "01:10.72", - "speaker": "Student", - "dialogue": "time, speed, and use those purple words?" - }, - { - "start": "01:13.40", - "stop": "01:31.04", - "speaker": "Tutor", - "dialogue": "So from A to B, the the distance is increasing, and so is the amount of hours, and the speed is fifty, and I'm not sure of this, but the speed might be staying the same because." - }, - { - "start": "01:33.40", - "stop": "01:33.60", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "01:33.88", - "stop": "01:36.52", - "speaker": "Tutor", - "dialogue": "Seed to day, it's also fifty miles per hour." - }, - { - "start": "01:39.20", - "stop": "01:41.44", - "speaker": "Student", - "dialogue": "Why would this speed be staying the same?" - }, - { - "start": "01:41.52", - "stop": "01:43.76", - "speaker": "Student", - "dialogue": "And remember what you've been talking about with constant?" - }, - { - "start": "01:44.48", - "stop": "01:48.52", - "speaker": "Student", - "dialogue": "How do you know something is constant and what does it mean for it to be constant?" - }, - { - "start": "01:50.40", - "stop": "01:53.08", - "speaker": "Tutor", - "dialogue": "Um, I'd probably say it's cons." - }, - { - "start": "01:53.32", - "stop": "02:03.96", - "speaker": "Tutor", - "dialogue": "the speed is constant because they're travelling the same aunt of Miles, and it's in the same time frame, so that's why it's constant." - }, - { - "start": "02:05.04", - "stop": "02:07.04", - "speaker": "Student", - "dialogue": "And on the graph you can tell it's constant." - }, - { - "start": "02:07.16", - "stop": "02:09.44", - "speaker": "Student", - "dialogue": "What you were describing earlier was because it's a line." - }, - { - "start": "02:11.96", - "stop": "02:16.32", - "speaker": "Student", - "dialogue": "Yeah, so read what I wrote in purple, and see if there's anything you want to add or revise." - }, - { - "start": "02:16.88", - "stop": "02:24.40", - "speaker": "Student", - "dialogue": "Have you described how things are changing and how much they are changing using those purple words?" - }, - { - "start": "02:42.44", - "stop": "02:53.36", - "speaker": "Tutor", - "dialogue": "I don't have anything to avise, but um, yeah. I don't have anything to say." - }, - { - "start": "02:54.08", - "stop": "03:02.32", - "speaker": "Student", - "dialogue": "Okay, I think it's interesting that distance and hours can both be increasing, but something is staying the same." - }, - { - "start": "03:05.56", - "stop": "03:09.76", - "speaker": "Student", - "dialogue": "That's what makes graphs so important to think about with these words." - }, - { - "start": "03:10.44", - "stop": "03:12.40", - "speaker": "Student", - "dialogue": "Because there's a lot going on in here." - }, - { - "start": "03:12.72", - "stop": "03:13.88", - "speaker": "Student", - "dialogue": "Some things are increasing." - }, - { - "start": "03:14.08", - "stop": "03:16.20", - "speaker": "Student", - "dialogue": "some are decreasing and some are staying the same." - }, - { - "start": "03:16.44", - "stop": "03:20.84", - "speaker": "Student", - "dialogue": "So to pay attention to those helps you make sense of what's going on with the graph." - }, - { - "start": "03:23.08", - "stop": "03:23.88", - "speaker": "Student", - "dialogue": "Does that make sense?" - }, - { - "start": "03:25.60", - "stop": "03:25.88", - "speaker": "Student", - "dialogue": "Okay?" - }, - { - "start": "03:26.32", - "stop": "03:27.16", - "speaker": "Student", - "dialogue": "I'm going to." - }, - { - "start": "03:29.96", - "stop": "03:31.28", - "speaker": "Student", - "dialogue": "Yeah, let's do one more section." - }, - { - "start": "03:31.52", - "stop": "03:33.52", - "speaker": "Student", - "dialogue": "What's going on from D to E?" - }, - { - "start": "03:36.68", - "stop": "03:43.44", - "speaker": "Tutor", - "dialogue": "Um. So the the speed is no longer like staying the same Um." - }, - { - "start": "03:43.56", - "stop": "03:52.20", - "speaker": "Tutor", - "dialogue": "However, the distance is still increasing and the amount of hours is increasing, but it's not at the constant rate that it once was." - }, - { - "start": "03:53.44", - "stop": "03:57.04", - "speaker": "Student", - "dialogue": "Wowa, look at all those beautiful math words that you put together." - }, - { - "start": "03:57.36", - "stop": "04:03.68", - "speaker": "Student", - "dialogue": "It's like patting your head and rubbing her belly and jumping on one foot all at the oh." - }, - { - "start": "04:03.76", - "stop": "04:04.40", - "speaker": "Tutor", - "dialogue": "Staying coool." - }, - { - "start": "04:05.00", - "stop": "04:06.24", - "speaker": "Student", - "dialogue": "Okay, what about Eda F?" - }, - { - "start": "04:17.56", - "stop": "04:17.60", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "04:17.68", - "stop": "04:17.88", - "speaker": "Student", - "dialogue": "Don't." - }, - { - "start": "04:17.96", - "stop": "04:20.52", - "speaker": "Tutor", - "dialogue": "Know I wouldn't say it's constant." - }, - { - "start": "04:24.96", - "stop": "04:25.00", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "04:25.16", - "stop": "04:25.44", - "speaker": "Tutor", - "dialogue": "That one?" - }, - { - "start": "04:25.52", - "stop": "04:26.24", - "speaker": "Tutor", - "dialogue": "I'm not sure." - }, - { - "start": "04:26.84", - "stop": "04:29.56", - "speaker": "Tutor", - "dialogue": "Actually, No, I think that one would be constant." - }, - { - "start": "04:29.72", - "stop": "04:29.76", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "04:31.52", - "stop": "04:34.16", - "speaker": "Student", - "dialogue": "Specific, what's constt or what's changing?" - }, - { - "start": "04:35.96", - "stop": "04:39.16", - "speaker": "Tutor", - "dialogue": "So the speed is no, the distance." - }, - { - "start": "04:39.28", - "stop": "04:44.20", - "speaker": "Tutor", - "dialogue": "Sorry, the distance is increasing and the time and hours is still increasing." - }, - { - "start": "04:44.40", - "stop": "04:49.92", - "speaker": "Tutor", - "dialogue": "But now the speed is constantly highable for A and b and Cndre." - }, - { - "start": "04:50.16", - "stop": "04:51.68", - "speaker": "Student", - "dialogue": "Able toig thee." - }, - { - "start": "05:07.00", - "stop": "05:07.20", - "speaker": "Tutor", - "dialogue": "Ten." - }, - { - "start": "05:07.96", - "stop": "05:08.12", - "speaker": "Student", - "dialogue": "Ten." - }, - { - "start": "05:08.20", - "stop": "05:08.92", - "speaker": "Tutor", - "dialogue": "Mous pur." - }, - { - "start": "05:09.48", - "stop": "05:10.68", - "speaker": "Student", - "dialogue": "How did you figure that out?" - }, - { - "start": "05:10.92", - "stop": "05:14.76", - "speaker": "Student", - "dialogue": "Wri, write down what you were using in your head to figure that out." - }, - { - "start": "06:11.88", - "stop": "06:13.12", - "speaker": "Student", - "dialogue": "Oh, did you un coover it?" - }, - { - "start": "06:19.28", - "stop": "06:19.40", - "speaker": "Tutor", - "dialogue": "Can?" - }, - { - "start": "06:19.48", - "stop": "06:20.20", - "speaker": "Student", - "dialogue": "You still hear me." - }, - { - "start": "06:22.76", - "stop": "06:23.68", - "speaker": "Tutor", - "dialogue": "I can stillar you." - }, - { - "start": "06:25.12", - "stop": "06:26.64", - "speaker": "Student", - "dialogue": "We don't have to work on this graph." - }, - { - "start": "06:27.08", - "stop": "06:32.00", - "speaker": "Student", - "dialogue": "Just want to know one more thing about how did you know the speed from Eda F." - }, - { - "start": "06:33.60", - "stop": "06:35.08", - "speaker": "Tutor", - "dialogue": "Donta dron de graford Sh." - }, - { - "start": "06:35.40", - "stop": "06:35.92", - "speaker": "Student", - "dialogue": "Write it out." - }, - { - "start": "06:36.04", - "stop": "06:36.68", - "speaker": "Student", - "dialogue": "Just write it out." - }, - { - "start": "06:36.76", - "stop": "06:43.52", - "speaker": "Student", - "dialogue": "Just show your work for how you know the miles per hour for Eda F. where you're seeing it." - }, - { - "start": "07:18.80", - "stop": "07:20.72", - "speaker": "Student", - "dialogue": "Are you writing somewhere or are you thinking?" - }, - { - "start": "07:21.68", - "stop": "07:22.32", - "speaker": "Tutor", - "dialogue": "I'm writing." - }, - { - "start": "07:23.24", - "stop": "07:23.44", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "07:23.84", - "stop": "07:25.28", - "speaker": "Student", - "dialogue": "are you wriding with a writing tool?" - }, - { - "start": "07:25.96", - "stop": "07:28.88", - "speaker": "Student", - "dialogue": "Yeah's, not letting me see, darn it." - }, - { - "start": "07:29.36", - "stop": "07:31.16", - "speaker": "Student", - "dialogue": "The technology glitched again on us." - }, - { - "start": "07:31.48", - "stop": "07:31.76", - "speaker": "Student", - "dialogue": "Oh, wait." - }, - { - "start": "07:31.84", - "stop": "07:32.20", - "speaker": "Student", - "dialogue": "there we go." - }, - { - "start": "07:32.40", - "stop": "07:33.12", - "speaker": "Student", - "dialogue": "I can see it now." - }, - { - "start": "07:33.24", - "stop": "07:34.32", - "speaker": "Student", - "dialogue": "Just I just had to wait." - }, - { - "start": "07:36.44", - "stop": "07:36.68", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "07:36.76", - "stop": "07:40.16", - "speaker": "Student", - "dialogue": "So from point e to point F. how much distance is that?" - }, - { - "start": "07:41.44", - "stop": "07:42.08", - "speaker": "Tutor", - "dialogue": "Ten miles." - }, - { - "start": "07:42.88", - "stop": "07:47.84", - "speaker": "Student", - "dialogue": "So ten miles and how much time has increased?" - }, - { - "start": "07:52.04", - "stop": "07:55.12", - "speaker": "Tutor", - "dialogue": "Never mind, I was wrong, Thirty minutes, I said, one hour before." - }, - { - "start": "07:55.44", - "stop": "07:57.36", - "speaker": "Student", - "dialogue": "Ah, so it has." - }, - { - "start": "07:57.88", - "stop": "08:00.60", - "speaker": "Student", - "dialogue": "The car has travelled ten miles in thirty minutes." - }, - { - "start": "08:01.88", - "stop": "08:04.68", - "speaker": "Student", - "dialogue": "How can I use that information to find the speed of the car?" - }, - { - "start": "08:06.88", - "stop": "08:08.60", - "speaker": "Tutor", - "dialogue": "You can divide it." - }, - { - "start": "08:09.32", - "stop": "08:13.64", - "speaker": "Student", - "dialogue": "We, to know the speed, it has to be the amount of time per one hour." - }, - { - "start": "08:15.44", - "stop": "08:15.56", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "08:19.60", - "stop": "08:19.64", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "08:19.72", - "stop": "08:21.24", - "speaker": "Tutor", - "dialogue": "Mean, the's something I learned a while ago." - }, - { - "start": "08:21.32", - "stop": "08:42.40", - "speaker": "Tutor", - "dialogue": "I'm not sure if it's correct, but when we were doing frash fractions and we couldn't simplify it properly, we just like multiply it so that it'd be like whole, so I just do like, Um times two, ten minutes times two, and then thirty minutes times two, which would be twenty minutes and one hour, and then I could use that to figure out how much, or would that be an accurate." - }, - { - "start": "08:42.56", - "stop": "08:51.76", - "speaker": "Student", - "dialogue": "Yeah, so your brain is trying to figure out how do I go from this relationship to this relationship and maintain equivalents." - }, - { - "start": "08:52.96", - "stop": "08:58.56", - "speaker": "Student", - "dialogue": "So if the car can go ten miles in thirty minutes, how far can the car go in one hour?" - }, - { - "start": "08:59.40", - "stop": "09:13.96", - "speaker": "Student", - "dialogue": "So if this represents a full hour, and this is thirty minutes, and in thirty minutes the car went ten miles, how many miles did the car travel in a full hour?" - }, - { - "start": "09:19.72", - "stop": "09:19.88", - "speaker": "Tutor", - "dialogue": "That's" - }, - { - "start": "09:20.00", - "stop": "09:21.40", - "speaker": "Student", - "dialogue": "Kind of what you were describing, right?" - }, - { - "start": "09:22.12", - "stop": "09:22.32", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "09:24.84", - "stop": "09:25.56", - "speaker": "Student", - "dialogue": "So what is it?" - }, - { - "start": "09:25.72", - "stop": "09:30.48", - "speaker": "Student", - "dialogue": "How many miles did the car travel in an hour if it travels at the same rate?" - }, - { - "start": "09:31.28", - "stop": "09:33.96", - "speaker": "Tutor", - "dialogue": "Twenty minutes, oh, twenty miles or ainy." - }, - { - "start": "09:34.00", - "stop": "09:38.16", - "speaker": "Student", - "dialogue": "Miles, so that means the speed of the car from E to F equals what?" - }, - { - "start": "09:40.48", - "stop": "09:40.80", - "speaker": "Tutor", - "dialogue": "Twenty." - }, - { - "start": "09:41.32", - "stop": "09:43.64", - "speaker": "Student", - "dialogue": "Twenty, and what's the unit miles?" - }, - { - "start": "09:43.72", - "stop": "09:44.44", - "speaker": "Tutor", - "dialogue": "Per hour yet?" - }, - { - "start": "09:45.44", - "stop": "09:46.32", - "speaker": "Student", - "dialogue": "Miles per hour." - }, - { - "start": "09:46.56", - "stop": "09:53.08", - "speaker": "Student", - "dialogue": "even though they only traveled thirty minutes, the speed they were traveling at is twenty miles per hour." - }, - { - "start": "09:55.16", - "stop": "09:56.00", - "speaker": "Student", - "dialogue": "Does that make sense?" - }, - { - "start": "09:56.92", - "stop": "09:57.88", - "speaker": "Tutor", - "dialogue": "Yes, cool." - }, - { - "start": "09:58.56", - "stop": "10:09.40", - "speaker": "Student", - "dialogue": "Ok, our time has already passed, so we are at a time, but I'd love to talk a little bit more about your experience, since you're helping us learn more about what this is like for students." - }, - { - "start": "10:10.92", - "stop": "10:17.52", - "speaker": "Student", - "dialogue": "So is there is there anything you feel like you learned or are thinking differently about now?" - }, - { - "start": "10:19.76", - "stop": "10:25.76", - "speaker": "Tutor", - "dialogue": "Um, I think I'm more open to like expressing my thoughts when I'm in the classroom." - }, - { - "start": "10:25.84", - "stop": "10:29.88", - "speaker": "Tutor", - "dialogue": "Like sometimes I'll like, think of a different way to solve the solution." - }, - { - "start": "10:30.28", - "stop": "10:45.88", - "speaker": "Tutor", - "dialogue": "But then I kind of disregard that thought because I think like it's incorrect or like I need to use like a specific method, so using different methods and and things that I have learned in the past can be beneficial and help me to get closer to solving the problem and." - }, - { - "start": "10:46.68", - "stop": "10:47.96", - "speaker": "Student", - "dialogue": "Yeah, that's powerful." - }, - { - "start": "10:48.16", - "stop": "10:50.12", - "speaker": "Student", - "dialogue": "Yeah, and I heard that a lot in your voice." - }, - { - "start": "10:50.16", - "stop": "10:55.76", - "speaker": "Student", - "dialogue": "You would say things like I think it might be this, but I don't know if it's right like there's some hesitancy for you." - }, - { - "start": "10:56.08", - "stop": "10:59.44", - "speaker": "Student", - "dialogue": "Share your voice, but you're a very powerful mathematical thinker." - }, - { - "start": "11:00.08", - "stop": "11:00.96", - "speaker": "Student", - "dialogue": "own your thinking." - }, - { - "start": "11:01.52", - "stop": "11:04.12", - "speaker": "Student", - "dialogue": "Share it and know that you can always revise." - }, - { - "start": "11:04.44", - "stop": "11:06.44", - "speaker": "Student", - "dialogue": "Also like this is what I'm thinking." - }, - { - "start": "11:06.60", - "stop": "11:11.04", - "speaker": "Student", - "dialogue": "Now I'm going to own it, and then I might evolve it or revise it later on" - }, - { - "start": "11:11.16", - "stop": "11:11.84", - "speaker": "Student", - "dialogue": "And that's O. Ky." - }, - { - "start": "11:13.64", - "stop": "11:14.16", - "speaker": "Student", - "dialogue": "That's cool." - }, - { - "start": "11:14.44", - "stop": "11:15.56", - "speaker": "Student", - "dialogue": "very powerful reflection." - }, - { - "start": "11:16.68", - "stop": "11:25.96", - "speaker": "Student", - "dialogue": "Anything else that Um was helpful for us to know, Like what else was helpful for you as a student or things that we could do differently to make this better?" - }, - { - "start": "11:28.00", - "stop": "11:46.92", - "speaker": "Tutor", - "dialogue": "Um, I think that like having the annotation tools like, Although they're tricky to like understand in the beginning, Once I got the hang of them, it was like easier to use and like easier to explain my thinking, especially since it's virtual and you can't really like see like my expressions, and it makes it easier for you." - }, - { - "start": "11:47.12", - "stop": "11:50.88", - "speaker": "Tutor", - "dialogue": "I feel like to understand and for me to understand my thought processch." - }, - { - "start": "11:51.44", - "stop": "11:56.12", - "speaker": "Student", - "dialogue": "Yeah, there's lots of different ways to show your thinking, and lots of different ways for me to see your thinking." - }, - { - "start": "11:56.56", - "stop": "12:02.64", - "speaker": "Student", - "dialogue": "I definitely appreciate that as well as a teacher, cool anything else that you think would be helpful for us to know." - }, - { - "start": "12:05.68", - "stop": "12:07.28", - "speaker": "Tutor", - "dialogue": "No, awesome." - }, - { - "start": "12:07.60", - "stop": "12:14.92", - "speaker": "Student", - "dialogue": "Well, thank you so much for joining to-day and for sharing your thinking, and always always remember what a powerful think you are thinker." - }, - { - "start": "12:15.08", - "stop": "12:17.40", - "speaker": "Student", - "dialogue": "You are, own your voice and share it." - }, - { - "start": "12:18.60", - "stop": "12:19.44", - "speaker": "Tutor", - "dialogue": "Ok, thank you." - }, - { - "start": "12:19.72", - "stop": "12:20.24", - "speaker": "Student", - "dialogue": "You're welcome." - }, - { - "start": "12:20.32", - "stop": "12:21.04", - "speaker": "Student", - "dialogue": "You have a good day." - } -] \ No newline at end of file diff --git a/data/amber/7152022LZ.json b/data/amber/7152022LZ.json deleted file mode 100644 index 0ea3a5c..0000000 --- a/data/amber/7152022LZ.json +++ /dev/null @@ -1,1964 +0,0 @@ -[ - { - "start": "00:01.20", - "stop": "00:03.20", - "speaker": "Tutor", - "dialogue": "Okay, I'm going to change the screen now." - }, - { - "start": "00:03.28", - "stop": "00:04.84", - "speaker": "Tutor", - "dialogue": "Do you see something different on your screen?" - }, - { - "start": "00:05.96", - "stop": "00:06.72", - "speaker": "Student", - "dialogue": "Y, I see." - }, - { - "start": "00:07.48", - "stop": "00:13.00", - "speaker": "Tutor", - "dialogue": "So take a second to read it, Look it over and then explain what you think is happening in this situation." - }, - { - "start": "00:26.40", - "stop": "00:29.96", - "speaker": "Student", - "dialogue": "Ah, there's a car journey going from Providence to Newark." - }, - { - "start": "00:31.32", - "stop": "00:38.28", - "speaker": "Tutor", - "dialogue": "K, what are some things that we could measure in this situation as the car travels from Providence to Newark?" - }, - { - "start": "00:39.52", - "stop": "00:41.36", - "speaker": "Student", - "dialogue": "Um, the distance it traveled." - }, - { - "start": "00:42.60", - "stop": "00:45.28", - "speaker": "Tutor", - "dialogue": "If we were going to measure the distance, what units would we use?" - }, - { - "start": "00:46.24", - "stop": "00:47.12", - "speaker": "Student", - "dialogue": "Ah, miles." - }, - { - "start": "00:48.24", - "stop": "00:50.72", - "speaker": "Tutor", - "dialogue": "Ok, are there other things that we could measure?" - }, - { - "start": "00:51.84", - "stop": "00:57.68", - "speaker": "Student", - "dialogue": "Ah, we could measure the size of New York City that like you traveled through." - }, - { - "start": "00:58.72", - "stop": "00:59.88", - "speaker": "Tutor", - "dialogue": "What do you mean by size?" - }, - { - "start": "01:00.72", - "stop": "01:05.08", - "speaker": "Student", - "dialogue": "Like the part that they went through New York City." - }, - { - "start": "01:06.36", - "stop": "01:08.52", - "speaker": "Tutor", - "dialogue": "So we could find just a section of the trip." - }, - { - "start": "01:09.68", - "stop": "01:09.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "01:10.36", - "stop": "01:12.24", - "speaker": "Tutor", - "dialogue": "Okay, what else?" - }, - { - "start": "01:23.84", - "stop": "01:24.76", - "speaker": "Student", - "dialogue": "I'm not really sure." - }, - { - "start": "01:25.76", - "stop": "01:30.96", - "speaker": "Tutor", - "dialogue": "So you think that we can measure the distance in miles and that we could measure different sections of the trip?" - }, - { - "start": "01:32.64", - "stop": "01:32.80", - "speaker": "Student", - "dialogue": "Ya." - }, - { - "start": "01:33.08", - "stop": "01:38.60", - "speaker": "Tutor", - "dialogue": "Okay, I'm going to uncover something now and you think about how it was similar or different to what you were thinking." - }, - { - "start": "01:57.00", - "stop": "01:59.20", - "speaker": "Student", - "dialogue": "Is is the starting point Okay?" - }, - { - "start": "01:59.28", - "stop": "02:01.04", - "speaker": "Student", - "dialogue": "Uh, so I think the starting point" - }, - { - "start": "02:01.16", - "stop": "02:19.76", - "speaker": "Student", - "dialogue": "A is when they're first at Providence, and as they're going at fifty miles an hour for the for the first hour, and then they stopped at I ninety five, I'm guessing, and then from C to D. I'm guessing" - }, - { - "start": "02:19.88", - "stop": "02:23.84", - "speaker": "Student", - "dialogue": "it's to I ninety five to enter New York." - }, - { - "start": "02:24.52", - "stop": "02:26.96", - "speaker": "Student", - "dialogue": "And then there they travel through New York." - }, - { - "start": "02:27.20", - "stop": "02:36.48", - "speaker": "Student", - "dialogue": "So it has the shaky line, and then E to F is from that New Jersey Turnpike to Newark." - }, - { - "start": "02:38.28", - "stop": "02:40.84", - "speaker": "Tutor", - "dialogue": "Why is it a shaky line in New York?" - }, - { - "start": "02:42.96", - "stop": "02:46.72", - "speaker": "Student", - "dialogue": "Uh, they're probably going shopping or doing stuff inside New York." - }, - { - "start": "02:47.56", - "stop": "02:48.52", - "speaker": "Tutor", - "dialogue": "How can you tell that?" - }, - { - "start": "02:50.76", - "stop": "02:58.60", - "speaker": "Student", - "dialogue": "Because they must have stopped at many places, and like like they, they were going at different speeds instead of at constant speed." - }, - { - "start": "02:59.56", - "stop": "03:01.88", - "speaker": "Tutor", - "dialogue": "A where do you see constant speed?" - }, - { - "start": "03:03.00", - "stop": "03:07.60", - "speaker": "Student", - "dialogue": "Uh, A to B, B to C and C to D and E to F." - }, - { - "start": "03:08.40", - "stop": "03:13.48", - "speaker": "Tutor", - "dialogue": "Okay, and what does this graph measure or keep track of?" - }, - { - "start": "03:14.32", - "stop": "03:18.28", - "speaker": "Student", - "dialogue": "Ah, the like the distance they traveleed over time." - }, - { - "start": "03:19.48", - "stop": "03:22.00", - "speaker": "Tutor", - "dialogue": "And then I also heard you use the word speed." - }, - { - "start": "03:22.72", - "stop": "03:26.12", - "speaker": "Tutor", - "dialogue": "How do you know or where do you see speed in this graph?" - }, - { - "start": "03:26.84", - "stop": "03:31.24", - "speaker": "Student", - "dialogue": "Ah, on the left side, it says distance, and it's in measurement of miles." - }, - { - "start": "03:33.76", - "stop": "03:37.52", - "speaker": "Tutor", - "dialogue": "So I'm with, So that means how far the car has traveled." - }, - { - "start": "03:38.32", - "stop": "03:46.60", - "speaker": "Tutor", - "dialogue": "I can measure that distance in miles, which is what you said at the beginning, but I'm still unsure of where speed is on this graph." - }, - { - "start": "03:50.20", - "stop": "03:51.20", - "speaker": "Student", - "dialogue": "Wait, can you repeat that?" - }, - { - "start": "03:51.76", - "stop": "04:11.12", - "speaker": "Tutor", - "dialogue": "Yeah, so when you were talking about A to B and B to C, you said something like, um, fifty miles per hour, and then the car stops, and then when you were talking about D to E, you said something about speed, and I don't see the word speed on this graph, so I am challenging you to explain to me." - }, - { - "start": "04:11.72", - "stop": "04:14.76", - "speaker": "Tutor", - "dialogue": "How do you know that speed is a part of this graph?" - }, - { - "start": "04:15.24", - "stop": "04:16.08", - "speaker": "Tutor", - "dialogue": "Where do you see that?" - }, - { - "start": "04:18.04", - "stop": "04:28.12", - "speaker": "Student", - "dialogue": "Speed is distance over time, so like Um, the graph ist distance over time, so it's measuring speed basically." - }, - { - "start": "04:28.56", - "stop": "04:34.88", - "speaker": "Tutor", - "dialogue": "Ah, because speed is the relationship of how miles are changing in relation to hours." - }, - { - "start": "04:37.08", - "stop": "04:37.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "04:38.48", - "stop": "04:40.20", - "speaker": "Tutor", - "dialogue": "Your, Yeah, it's like I don't know." - }, - { - "start": "04:44.00", - "stop": "04:44.04", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "04:44.12", - "stop": "04:44.76", - "speaker": "Tutor", - "dialogue": "That what you're saying?" - }, - { - "start": "04:44.88", - "stop": "04:45.12", - "speaker": "Tutor", - "dialogue": "Speed?" - }, - { - "start": "04:45.48", - "stop": "04:45.68", - "speaker": "Tutor", - "dialogue": "help?" - }, - { - "start": "04:45.80", - "stop": "04:46.64", - "speaker": "Tutor", - "dialogue": "Uh, Yeah, so?" - }, - { - "start": "04:48.24", - "stop": "04:48.28", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "04:48.44", - "stop": "04:49.68", - "speaker": "Tutor", - "dialogue": "Agree with you, speed is on there." - }, - { - "start": "04:49.76", - "stop": "04:51.52", - "speaker": "Tutor", - "dialogue": "I'm just pushing you to go a little bit deeper." - }, - { - "start": "04:51.68", - "stop": "04:53.76", - "speaker": "Tutor", - "dialogue": "Why is speed on there, since we can't label it?" - }, - { - "start": "04:55.40", - "stop": "04:55.44", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "04:55.56", - "stop": "04:56.52", - "speaker": "Tutor", - "dialogue": "Since it's not labeled." - }, - { - "start": "05:00.12", - "stop": "05:00.16", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "05:00.32", - "stop": "05:02.56", - "speaker": "Tutor", - "dialogue": "I hear you saying it's something to do with this blue line." - }, - { - "start": "05:05.28", - "stop": "05:05.32", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "05:05.44", - "stop": "05:05.88", - "speaker": "Tutor", - "dialogue": "That true?" - }, - { - "start": "05:06.64", - "stop": "05:08.36", - "speaker": "Student", - "dialogue": "The question of'm confused, sure." - }, - { - "start": "05:09.96", - "stop": "05:22.16", - "speaker": "Tutor", - "dialogue": "Where I'm asking you to prove or justify how you know, this graph also keeps track of speed even though speed isn't one of the variables that's labeled." - }, - { - "start": "05:23.40", - "stop": "05:32.96", - "speaker": "Student", - "dialogue": "Uh, it's It's just a relationship between the distance over time and then like the speed is how far they travel over a specific amount of time." - }, - { - "start": "05:33.40", - "stop": "05:37.08", - "speaker": "Student", - "dialogue": "Like miles per hour is a measurement of speed." - }, - { - "start": "05:40.04", - "stop": "05:40.36", - "speaker": "Tutor", - "dialogue": "Cool" - }, - { - "start": "05:41.40", - "stop": "05:41.60", - "speaker": "Tutor", - "dialogue": "where?" - }, - { - "start": "05:41.84", - "stop": "05:45.24", - "speaker": "Tutor", - "dialogue": "And you talked a little bit about where you would see these points on the map." - }, - { - "start": "05:45.92", - "stop": "05:47.16", - "speaker": "Tutor", - "dialogue": "Um, just for clarification." - }, - { - "start": "05:47.28", - "stop": "05:50.92", - "speaker": "Tutor", - "dialogue": "I, ninety five is this entire interstate." - }, - { - "start": "05:51.64", - "stop": "05:53.04", - "speaker": "Tutor", - "dialogue": "It's just this one point." - }, - { - "start": "05:54.84", - "stop": "05:54.96", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "05:55.00", - "stop": "05:55.60", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "05:56.16", - "stop": "05:56.32", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "05:56.36", - "stop": "05:56.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "05:57.00", - "stop": "05:57.76", - "speaker": "Tutor", - "dialogue": "Ok, cool." - }, - { - "start": "05:58.16", - "stop": "06:03.48", - "speaker": "Tutor", - "dialogue": "so go ahead and label that label the relationship that you see between the graph and the map." - }, - { - "start": "06:03.76", - "stop": "06:05.04", - "speaker": "Tutor", - "dialogue": "You talked about it a little bit." - }, - { - "start": "06:05.28", - "stop": "06:08.20", - "speaker": "Tutor", - "dialogue": "Now now you can mark it up with the pencil or the text tool." - }, - { - "start": "06:33.92", - "stop": "06:34.20", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "06:34.76", - "stop": "06:37.40", - "speaker": "Tutor", - "dialogue": "And now I'm gonna type a few words." - }, - { - "start": "06:37.52", - "stop": "06:38.96", - "speaker": "Tutor", - "dialogue": "Are you still labeling or are?" - }, - { - "start": "06:39.00", - "stop": "06:39.04", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "06:40.60", - "stop": "06:43.20", - "speaker": "Tutor", - "dialogue": "Okay, I'm goning to type a few words." - }, - { - "start": "06:47.52", - "stop": "06:47.56", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "06:47.84", - "stop": "06:52.12", - "speaker": "Tutor", - "dialogue": "I've typed some words up there, increasing, decreasing or staying the same." - }, - { - "start": "06:53.72", - "stop": "06:54.00", - "speaker": "Student", - "dialogue": "Prove." - }, - { - "start": "06:54.12", - "stop": "07:11.28", - "speaker": "Tutor", - "dialogue": "To me why you know A to B, is this section that you labeled here using those words, such as increasing, decreasing, staying the same, and talking about some of these things that you can measure like distance, time and speed." - }, - { - "start": "07:15.24", - "stop": "07:18.84", - "speaker": "Student", - "dialogue": "Oh, so A to B is like it" - }, - { - "start": "07:19.08", - "stop": "07:19.92", - "speaker": "Student", - "dialogue": "On the graph." - }, - { - "start": "07:20.04", - "stop": "07:38.72", - "speaker": "Student", - "dialogue": "It shows that it's a constant straight line from increasing, and the distance is increasing as the time increases, so in uh it it's it gaining more distance, and then from B to C. the the line isn't increas." - }, - { - "start": "07:39.08", - "stop": "07:40.84", - "speaker": "Student", - "dialogue": "It's staying the same and not increasing." - }, - { - "start": "07:40.96", - "stop": "07:45.56", - "speaker": "Student", - "dialogue": "so so it's staying the same at the same point" - }, - { - "start": "07:45.76", - "stop": "07:55.64", - "speaker": "Student", - "dialogue": "Cause there's no distance gained, and then C to D is the next portion because it's increasing distance as time increases as well." - }, - { - "start": "07:56.88", - "stop": "07:58.44", - "speaker": "Tutor", - "dialogue": "So hang on one second." - }, - { - "start": "07:58.48", - "stop": "08:05.32", - "speaker": "Tutor", - "dialogue": "when you talked about A to B, you said that distance was increasing as time was increasing, and then something was constant." - }, - { - "start": "08:06.24", - "stop": "08:10.04", - "speaker": "Tutor", - "dialogue": "How can something be constant if both of those things are increasing?" - }, - { - "start": "08:14.24", - "stop": "08:14.56", - "speaker": "Student", - "dialogue": "What's" - }, - { - "start": "08:14.72", - "stop": "08:15.16", - "speaker": "Tutor", - "dialogue": "Constant." - }, - { - "start": "08:15.92", - "stop": "08:17.00", - "speaker": "Student", - "dialogue": "The miles per hour." - }, - { - "start": "08:17.64", - "stop": "08:20.00", - "speaker": "Tutor", - "dialogue": "Ah, so distance is increasing." - }, - { - "start": "08:20.28", - "stop": "08:23.60", - "speaker": "Tutor", - "dialogue": "time is increasing, but speed remains constant." - }, - { - "start": "08:30.84", - "stop": "08:30.88", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "08:30.96", - "stop": "08:32.28", - "speaker": "Tutor", - "dialogue": "You agree with that or you disagree." - }, - { - "start": "08:32.32", - "stop": "08:32.44", - "speaker": "Student", - "dialogue": "With that." - }, - { - "start": "08:33.28", - "stop": "08:42.36", - "speaker": "Tutor", - "dialogue": "You agree with that Oky and the same thing here, so let's talk about distance, time and speed from D to E using these purple words." - }, - { - "start": "08:45.96", - "stop": "09:03.68", - "speaker": "Student", - "dialogue": "Um, it's a shaky line, but the distance is still increasing while the time increases, but like the speed is not staying the same, so uh, they're still travelling, but the speed is always changing so." - }, - { - "start": "09:03.88", - "stop": "09:06.12", - "speaker": "Tutor", - "dialogue": "The speed is not constant in that section." - }, - { - "start": "09:06.92", - "stop": "09:07.68", - "speaker": "Student", - "dialogue": "Yeah, ah." - }, - { - "start": "09:07.96", - "stop": "09:11.36", - "speaker": "Tutor", - "dialogue": "Okay, how does Um slope relate to all of this?" - }, - { - "start": "09:14.56", - "stop": "09:22.80", - "speaker": "Student", - "dialogue": "Slope, if if the slope is a stra, like just a straight line and no curves or anything else, that means the speed is constant." - }, - { - "start": "09:24.32", - "stop": "09:31.56", - "speaker": "Student", - "dialogue": "And if the slope is wiggly like between D and E, then the speed isn't constant." - }, - { - "start": "09:32.40", - "stop": "09:33.32", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "09:33.88", - "stop": "09:38.72", - "speaker": "Tutor", - "dialogue": "now, I'm going to uncover another thing." - }, - { - "start": "09:41.92", - "stop": "09:41.96", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "09:42.16", - "stop": "09:49.60", - "speaker": "Tutor", - "dialogue": "This time, you're going to create a graph between the relationship of time and speed." - }, - { - "start": "09:53.20", - "stop": "09:53.92", - "speaker": "Student", - "dialogue": "For the same." - }, - { - "start": "09:54.16", - "stop": "09:55.24", - "speaker": "Tutor", - "dialogue": "Graph, Yep, Same." - }, - { - "start": "10:49.96", - "stop": "12:17.64", - "speaker": "Student", - "dialogue": "Oh, dik." - }, - { - "start": "12:47.48", - "stop": "12:49.60", - "speaker": "Student", - "dialogue": "um, I think that's the graph, okay?" - }, - { - "start": "12:49.80", - "stop": "12:50.52", - "speaker": "Tutor", - "dialogue": "That's your sketch." - }, - { - "start": "12:51.20", - "stop": "12:52.00", - "speaker": "Tutor", - "dialogue": "Yeah, cool." - }, - { - "start": "12:52.40", - "stop": "12:56.92", - "speaker": "Tutor", - "dialogue": "so help me understand, Um, the different points of your graph too." - }, - { - "start": "12:57.08", - "stop": "13:01.12", - "speaker": "Tutor", - "dialogue": "So like you labeled a B, C, D, E, n F. on your map, I see it on the graph." - }, - { - "start": "13:01.52", - "stop": "13:04.36", - "speaker": "Tutor", - "dialogue": "Where do you see those in your graph that you created?" - }, - { - "start": "13:24.64", - "stop": "13:24.92", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "13:47.52", - "stop": "13:51.92", - "speaker": "Tutor", - "dialogue": "So let's take point D. for example, point D." - }, - { - "start": "13:54.60", - "stop": "13:54.72", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "13:54.92", - "stop": "13:57.44", - "speaker": "Tutor", - "dialogue": "Fast is the car going at Point D?" - }, - { - "start": "13:57.72", - "stop": "13:58.44", - "speaker": "Tutor", - "dialogue": "And how do you know?" - }, - { - "start": "14:04.12", - "stop": "14:06.24", - "speaker": "Student", - "dialogue": "Like from clinty to ware?" - }, - { - "start": "14:07.08", - "stop": "14:15.04", - "speaker": "Tutor", - "dialogue": "Just at that moment in time on this trip, as the car is at point D, How fast is the car going, And how do you know?" - }, - { - "start": "14:26.92", - "stop": "14:34.08", - "speaker": "Student", - "dialogue": "I think, probably still fifty miles per hour." - }, - { - "start": "14:35.52", - "stop": "14:36.00", - "speaker": "Tutor", - "dialogue": "How come?" - }, - { - "start": "14:37.16", - "stop": "14:44.16", - "speaker": "Student", - "dialogue": "Because it was just traveling at fifty miles per hour from C to D, and then its it just reached Point D." - }, - { - "start": "14:44.64", - "stop": "14:48.96", - "speaker": "Tutor", - "dialogue": "Okay, so that's like at the end of the segment of the trip where it's going fifty miles an hour." - }, - { - "start": "14:49.68", - "stop": "14:50.48", - "speaker": "Student", - "dialogue": "Yeahy, okay." - }, - { - "start": "14:50.80", - "stop": "14:55.40", - "speaker": "Tutor", - "dialogue": "Show me how you see that it's going fifty miles an hour on your graph at Point D." - }, - { - "start": "14:57.12", - "stop": "15:08.40", - "speaker": "Student", - "dialogue": "Um, because, like it's increasing, it increased fifty miles in distance over one hournstantly." - }, - { - "start": "15:08.84", - "stop": "15:11.00", - "speaker": "Tutor", - "dialogue": "Look at point D, as in dog." - }, - { - "start": "15:25.08", - "stop": "15:26.20", - "speaker": "Student", - "dialogue": "What am I supposed to do?" - }, - { - "start": "15:26.60", - "stop": "15:26.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "15:27.32", - "stop": "15:29.00", - "speaker": "Tutor", - "dialogue": "So I'll circle it." - }, - { - "start": "15:29.64", - "stop": "15:33.68", - "speaker": "Tutor", - "dialogue": "I'm curious about this point on your graph." - }, - { - "start": "15:35.52", - "stop": "15:35.76", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "15:36.12", - "stop": "15:39.72", - "speaker": "Tutor", - "dialogue": "How fast is the car going at Point D?" - }, - { - "start": "15:41.68", - "stop": "15:41.84", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "15:41.92", - "stop": "15:45.36", - "speaker": "Tutor", - "dialogue": "What you know over here and over here?" - }, - { - "start": "15:47.28", - "stop": "15:47.32", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "15:47.52", - "stop": "15:49.76", - "speaker": "Tutor", - "dialogue": "What does your grapht show about point D?" - }, - { - "start": "15:57.92", - "stop": "16:11.28", - "speaker": "Student", - "dialogue": "I think they probably slowed down at that point because they just entered New York City and inside this it and it's like, probably not a highway anymore, cause that's why it's not at Co at a constant speed." - }, - { - "start": "16:11.68", - "stop": "16:16.32", - "speaker": "Tutor", - "dialogue": "Okay, do you know how fast the car was going right here?" - }, - { - "start": "16:18.04", - "stop": "16:21.72", - "speaker": "Student", - "dialogue": "Ya like about fifty miles per hour." - }, - { - "start": "16:22.60", - "stop": "16:32.44", - "speaker": "Tutor", - "dialogue": "Yeah, and it's the section that you said the car's going fifty miles an hour Ya, because there's a change in fifty miles for distance over a period of one hour." - }, - { - "start": "16:33.56", - "stop": "16:37.72", - "speaker": "Tutor", - "dialogue": "You earlier told me it's constant, So does that mean the speed is changing or staying the same?" - }, - { - "start": "16:38.40", - "stop": "16:39.12", - "speaker": "Student", - "dialogue": "Staying the same." - }, - { - "start": "16:39.20", - "stop": "16:40.68", - "speaker": "Tutor", - "dialogue": "Okay, so it's going fifty miles an hour?" - }, - { - "start": "16:40.68", - "stop": "16:44.88", - "speaker": "Tutor", - "dialogue": "It's like they set the cruise control and it's going a constant" - }, - { - "start": "16:45.00", - "stop": "16:45.76", - "speaker": "Tutor", - "dialogue": "fifty miles an hour" - }, - { - "start": "16:45.92", - "stop": "16:47.16", - "speaker": "Tutor", - "dialogue": "this entire section of the trip." - }, - { - "start": "16:49.16", - "stop": "16:49.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "16:50.00", - "stop": "16:52.88", - "speaker": "Tutor", - "dialogue": "On your graph, are you showing that same thing?" - }, - { - "start": "16:53.40", - "stop": "16:54.04", - "speaker": "Tutor", - "dialogue": "Does it match?" - }, - { - "start": "16:54.56", - "stop": "16:55.76", - "speaker": "Tutor", - "dialogue": "Do you agree or disagree?" - }, - { - "start": "16:56.48", - "stop": "16:57.80", - "speaker": "Student", - "dialogue": "I think it matches." - }, - { - "start": "16:58.88", - "stop": "17:00.96", - "speaker": "Tutor", - "dialogue": "K, so show me on your graph" - }, - { - "start": "17:01.60", - "stop": "17:08.60", - "speaker": "Tutor", - "dialogue": "how C to D shows the car going a constant speed of fifty miles an hour." - }, - { - "start": "17:09.48", - "stop": "17:23.72", - "speaker": "Student", - "dialogue": "Okay, caause, this point is like one one and a half to and then like it reaches to like two and a half, and then it ained fifty miles, so fifty miles like within an hour." - }, - { - "start": "17:25.92", - "stop": "17:30.88", - "speaker": "Tutor", - "dialogue": "You just said one and a half are one hour, which I agree with" - }, - { - "start": "17:31.60", - "stop": "17:34.32", - "speaker": "Tutor", - "dialogue": "This axes is keeping track of hours." - }, - { - "start": "17:34.80", - "stop": "17:40.44", - "speaker": "Tutor", - "dialogue": "And then you said it gained fifty miles, but I thought this axes was keeping track of speed." - }, - { - "start": "17:41.04", - "stop": "17:44.20", - "speaker": "Student", - "dialogue": "Oh, oh, oh, I read that wrong." - }, - { - "start": "17:44.68", - "stop": "17:49.52", - "speaker": "Tutor", - "dialogue": "Ah, okay, so you want to revise or change something?" - }, - { - "start": "17:50.60", - "stop": "17:50.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "17:51.28", - "stop": "17:54.08", - "speaker": "Tutor", - "dialogue": "Cool, do we get to revise and change our minds in math?" - }, - { - "start": "17:56.68", - "stop": "17:57.16", - "speaker": "Student", - "dialogue": "I think." - }, - { - "start": "17:57.52", - "stop": "18:03.92", - "speaker": "Tutor", - "dialogue": "Absolutely, it's just like when we're writing a paper or creating something in art, we get to create a rough draufht." - }, - { - "start": "18:04.36", - "stop": "18:05.32", - "speaker": "Tutor", - "dialogue": "edit it, revise it." - }, - { - "start": "18:05.92", - "stop": "18:06.48", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "18:06.88", - "stop": "18:08.32", - "speaker": "Tutor", - "dialogue": "So you created a rough draught." - }, - { - "start": "18:08.96", - "stop": "18:11.44", - "speaker": "Tutor", - "dialogue": "Now you want to go back and revise some things." - }, - { - "start": "18:59.72", - "stop": "20:38.08", - "speaker": "Student", - "dialogue": "Dot the do di wan to do want do hapen?" - }, - { - "start": "21:37.16", - "stop": "21:38.96", - "speaker": "Student", - "dialogue": "Okay, I think that's the grufh." - }, - { - "start": "21:41.20", - "stop": "21:45.36", - "speaker": "Tutor", - "dialogue": "Put your points back on where you see them and then same thing talk me through." - }, - { - "start": "21:46.16", - "stop": "21:48.20", - "speaker": "Tutor", - "dialogue": "Justify why you drew the lines the way you did." - }, - { - "start": "22:27.36", - "stop": "22:27.44", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "22:27.52", - "stop": "22:32.92", - "speaker": "Tutor", - "dialogue": "Right, are you ready to explain why you created the graph that you did, or what you were thinking as you created it?" - }, - { - "start": "22:37.24", - "stop": "22:38.28", - "speaker": "Student", - "dialogue": "Wait, can you repeat that?" - }, - { - "start": "22:38.68", - "stop": "22:38.84", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "22:39.64", - "stop": "22:44.60", - "speaker": "Tutor", - "dialogue": "Are you ready to explain you're thinking for how you created this graph?" - }, - { - "start": "22:45.52", - "stop": "22:49.84", - "speaker": "Student", - "dialogue": "Yeah, okay, so a wait." - }, - { - "start": "22:49.92", - "stop": "22:51.92", - "speaker": "Student", - "dialogue": "Are you able to see my mouse pinter?" - }, - { - "start": "22:52.40", - "stop": "22:52.44", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "22:53.52", - "stop": "23:10.48", - "speaker": "Student", - "dialogue": "Okay, so A to this point is A to here, and then like Um, it's going at a constant fifty miles per hour, and then uh, from B to C. It ha stopped like it didn't gain any distance over time, so there's no movement or speed" - }, - { - "start": "23:11.08", - "stop": "23:17.92", - "speaker": "Student", - "dialogue": "And then this point to d it, it's going a constant of fifty miles an hour" - }, - { - "start": "23:18.04", - "stop": "23:21.56", - "speaker": "Student", - "dialogue": "About so it's at constant fifty miles per hour." - }, - { - "start": "23:23.04", - "stop": "23:24.56", - "speaker": "Student", - "dialogue": "Here I thin." - }, - { - "start": "23:24.76", - "stop": "23:27.44", - "speaker": "Student", - "dialogue": "I'm not really sure what speed it is, but it." - }, - { - "start": "23:27.76", - "stop": "23:41.72", - "speaker": "Student", - "dialogue": "I think it's around thirty miles per hour, so it's just like somewhere close to thirty miles per hour and E to f. The slope looks like the same as these two, so I'm guessing" - }, - { - "start": "23:41.80", - "stop": "23:44.60", - "speaker": "Student", - "dialogue": "it's like around the same speed as that." - }, - { - "start": "23:45.48", - "stop": "23:53.44", - "speaker": "Tutor", - "dialogue": "Okay, from E to F, how come it's a slanted line and from this line how come it's a straight line?" - }, - { - "start": "23:53.48", - "stop": "23:54.48", - "speaker": "Tutor", - "dialogue": "What was your thinking there?" - }, - { - "start": "23:58.20", - "stop": "24:19.00", - "speaker": "Student", - "dialogue": "Um, I don't really know, but like at this point it just looked like it was like slower than this, so like it gained speed actually." - }, - { - "start": "24:19.32", - "stop": "24:24.56", - "speaker": "Tutor", - "dialogue": "Ah, so you see a little bit of an acceleration in here because it's not a completely straight line." - }, - { - "start": "24:24.64", - "stop": "24:25.48", - "speaker": "Tutor", - "dialogue": "There's that little dip." - }, - { - "start": "24:28.96", - "stop": "24:29.12", - "speaker": "Student", - "dialogue": "That's" - }, - { - "start": "24:29.20", - "stop": "24:29.80", - "speaker": "Tutor", - "dialogue": "Cool thinking." - }, - { - "start": "24:33.88", - "stop": "24:33.92", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "24:34.08", - "stop": "24:37.16", - "speaker": "Tutor", - "dialogue": "Then I'm curious about this point right here." - }, - { - "start": "24:38.80", - "stop": "24:38.96", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "24:39.00", - "stop": "24:40.44", - "speaker": "Tutor", - "dialogue": "You see the blue dot that I just put." - }, - { - "start": "24:42.24", - "stop": "24:45.80", - "speaker": "Tutor", - "dialogue": "Where is that point on this graph?" - }, - { - "start": "24:47.28", - "stop": "24:50.88", - "speaker": "Student", - "dialogue": "It's also B, like right here, 'cause like" - }, - { - "start": "24:51.56", - "stop": "24:54.48", - "speaker": "Student", - "dialogue": "once it reaches that point, it just stopped moving." - }, - { - "start": "24:55.16", - "stop": "24:59.00", - "speaker": "Tutor", - "dialogue": "Okay, so you are saying that that point?" - }, - { - "start": "24:59.96", - "stop": "25:03.12", - "speaker": "Tutor", - "dialogue": "let me type it just to make sure I understand that this is B." - }, - { - "start": "25:05.36", - "stop": "25:05.40", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "25:05.64", - "stop": "25:06.76", - "speaker": "Tutor", - "dialogue": "This point is also B." - }, - { - "start": "25:08.12", - "stop": "25:08.16", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "25:08.80", - "stop": "25:15.60", - "speaker": "Tutor", - "dialogue": "Because at B, the car is going fifty miles an hour, and the car is going zero miles an hour." - }, - { - "start": "25:19.04", - "stop": "25:28.44", - "speaker": "Student", - "dialogue": "No, like, uh, it's just like that's like that." - }, - { - "start": "25:30.16", - "stop": "25:33.60", - "speaker": "Student", - "dialogue": "Um, I don't really know how to explain this." - }, - { - "start": "25:33.76", - "stop": "25:40.32", - "speaker": "Student", - "dialogue": "It's just like this segment is like when it was going fifty miles for an hour and then it stopped moving." - }, - { - "start": "25:42.48", - "stop": "25:44.44", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, it's interesting." - }, - { - "start": "25:44.60", - "stop": "25:47.08", - "speaker": "Tutor", - "dialogue": "Huh, so you're like I agree with you." - }, - { - "start": "25:47.40", - "stop": "25:54.28", - "speaker": "Tutor", - "dialogue": "You've shown a constant speed here and then the speed of the car changes and it remains at zero miles an hour for a period of time." - }, - { - "start": "25:54.64", - "stop": "25:57.00", - "speaker": "Tutor", - "dialogue": "Like those vertical lines make complete sense." - }, - { - "start": "25:57.40", - "stop": "26:01.68", - "speaker": "Tutor", - "dialogue": "And then I hear you saying Ah, not quite sure what to do with this point and this point." - }, - { - "start": "26:02.60", - "stop": "26:06.96", - "speaker": "Tutor", - "dialogue": "what do I do at the moment of that change?" - }, - { - "start": "26:07.92", - "stop": "26:12.00", - "speaker": "Tutor", - "dialogue": "Is it fifty miles an hour, or is the car going zero miles an hour?" - }, - { - "start": "26:12.52", - "stop": "26:14.60", - "speaker": "Tutor", - "dialogue": "Can it be doing both of those at the same time?" - }, - { - "start": "26:15.76", - "stop": "26:21.28", - "speaker": "Student", - "dialogue": "No, I think it probably like slowed down over like a minute or something." - }, - { - "start": "26:22.08", - "stop": "26:28.88", - "speaker": "Tutor", - "dialogue": "Yeah, cause in real life, can a car go instantly from fifty miles an hour to zero miles an hour?" - }, - { - "start": "26:29.92", - "stop": "26:30.04", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "26:30.40", - "stop": "26:35.24", - "speaker": "Tutor", - "dialogue": "No, there's some deceleration there, so there's this real life thing we'd have to think and take care of." - }, - { - "start": "26:35.68", - "stop": "26:37.68", - "speaker": "Tutor", - "dialogue": "Let's just look at the graph itself." - }, - { - "start": "26:38.24", - "stop": "26:44.84", - "speaker": "Tutor", - "dialogue": "Is it possible for a graph to have a point at two locations?" - }, - { - "start": "26:45.08", - "stop": "26:46.88", - "speaker": "Tutor", - "dialogue": "that same point at two locations?" - }, - { - "start": "26:47.88", - "stop": "26:48.00", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "26:48.76", - "stop": "26:52.96", - "speaker": "Tutor", - "dialogue": "No, so I understand the way you drew your graph and it's taken care of that." - }, - { - "start": "26:53.12", - "stop": "26:56.48", - "speaker": "Tutor", - "dialogue": "It's going from fifty miles an hour down to zero miles an hour." - }, - { - "start": "26:56.60", - "stop": "27:01.92", - "speaker": "Tutor", - "dialogue": "Somehow, have you ever seen graphs that have open circles and closed circles on them?" - }, - { - "start": "27:04.24", - "stop": "27:04.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "27:05.60", - "stop": "27:07.92", - "speaker": "Tutor", - "dialogue": "Do you know what those are or why we have those?" - }, - { - "start": "27:11.08", - "stop": "27:13.64", - "speaker": "Student", - "dialogue": "Oh wait, I'm not really sure." - }, - { - "start": "27:13.92", - "stop": "27:15.76", - "speaker": "Student", - "dialogue": "Okay, I was about something else." - }, - { - "start": "27:16.00", - "stop": "27:26.20", - "speaker": "Tutor", - "dialogue": "Okay, sometimes there's graphs that instead of having a closed circle here might have an open circle, and down here it might have a closed circle." - }, - { - "start": "27:28.44", - "stop": "27:28.48", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "27:28.72", - "stop": "27:32.76", - "speaker": "Tutor", - "dialogue": "Both points are labeleed B. Do you know what that represents?" - }, - { - "start": "27:35.00", - "stop": "27:46.84", - "speaker": "Student", - "dialogue": "Um, it's probably just to show that B is at two points, but like the there's Um." - }, - { - "start": "27:50.24", - "stop": "27:55.88", - "speaker": "Student", - "dialogue": "I, I think it's just because like at this point" - }, - { - "start": "27:56.00", - "stop": "27:59.40", - "speaker": "Student", - "dialogue": "it's still like moving and then like and then the next." - }, - { - "start": "27:59.60", - "stop": "28:02.16", - "speaker": "Student", - "dialogue": "it's still beep, But then like it's not moving" - }, - { - "start": "28:02.36", - "stop": "28:06.40", - "speaker": "Student", - "dialogue": "So there's there has to be some way to show that it's like different." - }, - { - "start": "28:07.20", - "stop": "28:14.12", - "speaker": "Tutor", - "dialogue": "Yeah, and that difference with that open circle and closed circle shows that the car is going" - }, - { - "start": "28:14.32", - "stop": "28:23.08", - "speaker": "Tutor", - "dialogue": "this speed up to and infinitely close to B, but at B, it is zero miles an hour." - }, - { - "start": "28:25.24", - "stop": "28:25.28", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "28:25.44", - "stop": "28:32.88", - "speaker": "Tutor", - "dialogue": "It's one way to show that, really, really, really close, and then it changes so B isn't at both locations." - }, - { - "start": "28:32.96", - "stop": "28:37.04", - "speaker": "Tutor", - "dialogue": "It's only included in one and we have to decide which one it's included in and why." - }, - { - "start": "28:39.20", - "stop": "28:39.36", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "28:39.44", - "stop": "28:40.04", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "28:41.04", - "stop": "28:41.08", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "28:42.48", - "stop": "28:44.64", - "speaker": "Tutor", - "dialogue": "These types of graphs have a special name." - }, - { - "start": "28:45.52", - "stop": "28:52.60", - "speaker": "Tutor", - "dialogue": "Have you ever seen graphs that have like a line and then a circle, and then there's a part over here?" - }, - { - "start": "28:54.32", - "stop": "28:54.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "28:54.44", - "stop": "28:59.16", - "speaker": "Tutor", - "dialogue": "Then it might look something like this, and there's open and closed circles all over the place." - }, - { - "start": "29:00.12", - "stop": "29:01.36", - "speaker": "Student", - "dialogue": "I don't know what that's called." - }, - { - "start": "29:01.72", - "stop": "29:09.08", - "speaker": "Tutor", - "dialogue": "Cool, so you will see those as you continue on in math, and the name of them is called a peacewise." - }, - { - "start": "29:10.36", - "stop": "29:13.68", - "speaker": "Tutor", - "dialogue": "Have you ever heard of that, a piecewise graph or a piecewise function?" - }, - { - "start": "29:15.24", - "stop": "29:15.40", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "29:15.72", - "stop": "29:22.08", - "speaker": "Tutor", - "dialogue": "No, it is a type of graph that takes care of some of these things that your brain was trying to make sense of, Like." - }, - { - "start": "29:22.52", - "stop": "29:24.32", - "speaker": "Tutor", - "dialogue": "Can this entire line be point B?" - }, - { - "start": "29:25.76", - "stop": "29:25.88", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "29:26.84", - "stop": "29:30.96", - "speaker": "Tutor", - "dialogue": "So sometimes graphs aren't always connected the whole way." - }, - { - "start": "29:31.68", - "stop": "29:39.44", - "speaker": "Tutor", - "dialogue": "Sometimes there's some open sections in them, and as you continue on a math, you'll come across some of those graphs that might look different." - }, - { - "start": "29:40.72", - "stop": "29:48.28", - "speaker": "Tutor", - "dialogue": "The one thing to keep in mind about graphs, no matter what they look like, whether they're linear, which I can tell you've done a lot of work with linear." - }, - { - "start": "29:48.64", - "stop": "29:58.60", - "speaker": "Tutor", - "dialogue": "You understand slope and that relationship between these two variables and that constant idea, and then sometimes you'll see graphs that look like that." - }, - { - "start": "30:00.92", - "stop": "30:00.96", - "speaker": "Student", - "dialogue": "Have?" - }, - { - "start": "30:01.08", - "stop": "30:01.96", - "speaker": "Tutor", - "dialogue": "You seen those before?" - }, - { - "start": "30:03.04", - "stop": "30:04.76", - "speaker": "Tutor", - "dialogue": "Yeah, those are quadratics." - }, - { - "start": "30:05.20", - "stop": "30:09.92", - "speaker": "Tutor", - "dialogue": "or you could see piecewise graphs, no matter what the graph looks, or some cubic ones." - }, - { - "start": "30:10.36", - "stop": "30:18.80", - "speaker": "Tutor", - "dialogue": "No matter what the graph looks like, the stuff inside is always describing the relationship between these two things." - }, - { - "start": "30:19.84", - "stop": "30:23.32", - "speaker": "Tutor", - "dialogue": "So the vertical axis has something that is changing." - }, - { - "start": "30:24.60", - "stop": "30:36.96", - "speaker": "Tutor", - "dialogue": "The horizontal axis has something that is changing, And what's in the middle is the relationship of how they're changing together, which you knew with speed in this particular situation" - }, - { - "start": "30:37.60", - "stop": "30:38.20", - "speaker": "Tutor", - "dialogue": "Always remember." - }, - { - "start": "30:38.32", - "stop": "30:45.72", - "speaker": "Tutor", - "dialogue": "No matter how crazy my graph looks, it's still keeping track of the relationship between these two things and how they're changing together." - }, - { - "start": "30:47.36", - "stop": "30:49.64", - "speaker": "Tutor", - "dialogue": "These words up here can help you with that, too." - }, - { - "start": "30:51.16", - "stop": "30:52.08", - "speaker": "Tutor", - "dialogue": "What's increasing?" - }, - { - "start": "30:52.76", - "stop": "30:55.68", - "speaker": "Tutor", - "dialogue": "What's decreasing and what's staying The same." - }, - { - "start": "30:56.80", - "stop": "31:00.48", - "speaker": "Tutor", - "dialogue": "In this particular section, you said distance is increasing." - }, - { - "start": "31:00.88", - "stop": "31:10.64", - "speaker": "Tutor", - "dialogue": "time is increasing and speed is staying the same, So there's always some relationship between these things that can be described with these purple words" - }, - { - "start": "31:11.16", - "stop": "31:15.88", - "speaker": "Tutor", - "dialogue": "that'll help you make sense of graphs as they get more and more bizarre looking." - }, - { - "start": "31:17.08", - "stop": "31:17.88", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "31:20.04", - "stop": "31:20.32", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "31:21.40", - "stop": "31:32.84", - "speaker": "Tutor", - "dialogue": "Um, we are out of time for our session today, and you know that we're testing out this style of platform and and learning, so I'd love to hear from you." - }, - { - "start": "31:33.12", - "stop": "31:35.00", - "speaker": "Tutor", - "dialogue": "What was this experience like for you?" - }, - { - "start": "31:35.64", - "stop": "31:38.20", - "speaker": "Tutor", - "dialogue": "What was helpful or what wasn't helpful?" - }, - { - "start": "31:38.80", - "stop": "31:43.48", - "speaker": "Tutor", - "dialogue": "What are some things that we should consider changing just anything about your experience today?" - }, - { - "start": "31:44.56", - "stop": "31:46.72", - "speaker": "Student", - "dialogue": "Um, it was a fun experience." - }, - { - "start": "31:46.80", - "stop": "31:47.40", - "speaker": "Student", - "dialogue": "I guess it's" - }, - { - "start": "31:47.84", - "stop": "31:49.04", - "speaker": "Student", - "dialogue": "It's a very unique site." - }, - { - "start": "31:49.04", - "stop": "31:52.64", - "speaker": "Student", - "dialogue": "Be'cause then like you could it, it's like very interactive." - }, - { - "start": "31:53.76", - "stop": "31:54.20", - "speaker": "Tutor", - "dialogue": "Oh, cool." - }, - { - "start": "31:54.36", - "stop": "31:54.96", - "speaker": "Tutor", - "dialogue": "Say more about that." - }, - { - "start": "31:55.04", - "stop": "31:55.80", - "speaker": "Tutor", - "dialogue": "What's interactive?" - }, - { - "start": "31:56.56", - "stop": "32:04.64", - "speaker": "Student", - "dialogue": "Like I, I'm able to also draw on like the same thing that you're able to draw on, and like we could both see like this whole whiteboard area." - }, - { - "start": "32:06.32", - "stop": "32:08.08", - "speaker": "Tutor", - "dialogue": "Yeah, I thought that's cool too." - }, - { - "start": "32:08.20", - "stop": "32:08.76", - "speaker": "Tutor", - "dialogue": "From my end." - }, - { - "start": "32:08.80", - "stop": "32:10.48", - "speaker": "Tutor", - "dialogue": "Uh, in teaching it's really cool too." - }, - { - "start": "32:11.16", - "stop": "32:17.92", - "speaker": "Tutor", - "dialogue": "What was it like not being able to to see each other but only hear and work on the same whiteboard?" - }, - { - "start": "32:19.04", - "stop": "32:28.20", - "speaker": "Student", - "dialogue": "Um, it's not really that Like bad, because like already in normal classes like, I don't think anyone turns on their cameras." - }, - { - "start": "32:28.44", - "stop": "32:29.80", - "speaker": "Tutor", - "dialogue": "So you're used to that experience?" - }, - { - "start": "32:30.28", - "stop": "32:31.16", - "speaker": "Tutor", - "dialogue": "Yeah, cool." - }, - { - "start": "32:31.76", - "stop": "32:37.12", - "speaker": "Tutor", - "dialogue": "Is there anything that wasn't as helpful for you or that would be more helpful if we did differently?" - }, - { - "start": "32:38.40", - "stop": "32:41.20", - "speaker": "Student", - "dialogue": "Um, I don't think there are any downsides to this." - }, - { - "start": "32:41.80", - "stop": "32:45.48", - "speaker": "Student", - "dialogue": "Maybe labeling the buttons would be a good thing." - }, - { - "start": "32:48.12", - "stop": "32:48.56", - "speaker": "Tutor", - "dialogue": "Buttons." - }, - { - "start": "32:49.12", - "stop": "32:50.40", - "speaker": "Student", - "dialogue": "Oh, actually, some of them have." - }, - { - "start": "32:51.36", - "stop": "32:53.60", - "speaker": "Tutor", - "dialogue": "Like when you hover over M. it tells you what they do." - }, - { - "start": "32:55.04", - "stop": "32:56.00", - "speaker": "Tutor", - "dialogue": "Some of them do, huh?" - }, - { - "start": "32:57.96", - "stop": "32:58.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "32:58.32", - "stop": "32:58.80", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "32:58.88", - "stop": "32:59.60", - "speaker": "Tutor", - "dialogue": "That's good feedback." - }, - { - "start": "32:59.68", - "stop": "33:02.36", - "speaker": "Tutor", - "dialogue": "I haven't heard that before, and I I agree that could be helpful." - }, - { - "start": "33:02.76", - "stop": "33:03.36", - "speaker": "Tutor", - "dialogue": "Anything else?" - }, - { - "start": "33:04.24", - "stop": "33:05.92", - "speaker": "Student", - "dialogue": "Ah, notally okay." - } -] \ No newline at end of file diff --git a/data/amber/7152022MS.json b/data/amber/7152022MS.json deleted file mode 100644 index 75a73d4..0000000 --- a/data/amber/7152022MS.json +++ /dev/null @@ -1,62 +0,0 @@ -[ - { - "start": "00:03.76", - "stop": "00:10.48", - "speaker": "Tutor", - "dialogue": "Um, okay, so it looks like the recording is active on my end." - }, - { - "start": "00:10.56", - "stop": "00:12.20", - "speaker": "Tutor", - "dialogue": "I'm not sure when that happened for the session." - }, - { - "start": "00:12.92", - "stop": "00:14.76", - "speaker": "Tutor", - "dialogue": "Um, what I'll do is I'll just mute myself." - }, - { - "start": "00:15.00", - "stop": "00:22.16", - "speaker": "Tutor", - "dialogue": "Um, I'll mute this tab too, so I won't be listening in on the session, so don't worry about that, but I'll just hang in here for the duration of the session and the recording will record on my side." - }, - { - "start": "00:23.92", - "stop": "00:24.64", - "speaker": "Student", - "dialogue": "I have several O." - }, - { - "start": "00:29.28", - "stop": "00:32.92", - "speaker": "Tutor", - "dialogue": "It should be because you're at it as a teacher in all of these classes." - }, - { - "start": "00:33.36", - "stop": "00:35.36", - "speaker": "Tutor", - "dialogue": "Um, were you able to record the one this morning?" - }, - { - "start": "00:36.24", - "stop": "00:36.28", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "00:36.28", - "stop": "00:36.92", - "speaker": "Tutor", - "dialogue": "One I before." - }, - { - "start": "00:39.04", - "stop": "00:39.36", - "speaker": "Student", - "dialogue": "Okay." - } -] \ No newline at end of file diff --git a/data/amber/7152022SW.json b/data/amber/7152022SW.json deleted file mode 100644 index d30b87b..0000000 --- a/data/amber/7152022SW.json +++ /dev/null @@ -1,3332 +0,0 @@ -[ - { - "start": "00:00.84", - "stop": "00:11.68", - "speaker": "Tutor", - "dialogue": "Okay, we're going to be talking back and forth like this, so you can close your chat box if you would like, and that'll open up your screen so you have more work space." - }, - { - "start": "00:14.32", - "stop": "00:14.48", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "00:14.60", - "stop": "00:17.24", - "speaker": "Tutor", - "dialogue": "On the lefthand side of your screen, you see some tools." - }, - { - "start": "00:20.24", - "stop": "00:20.40", - "speaker": "Student", - "dialogue": "At." - }, - { - "start": "00:20.48", - "stop": "00:22.96", - "speaker": "Tutor", - "dialogue": "The bottom of the tools, there's a trash can." - }, - { - "start": "00:24.20", - "stop": "00:25.52", - "speaker": "Tutor", - "dialogue": "Don't click that one." - }, - { - "start": "00:26.08", - "stop": "00:29.76", - "speaker": "Tutor", - "dialogue": "It will erase all of your work and then we don't have a way to get it back." - }, - { - "start": "00:31.40", - "stop": "00:31.44", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "00:32.12", - "stop": "00:42.76", - "speaker": "Tutor", - "dialogue": "You may want to erase some things as we can as we work, so let's practicse drawing or creating something, and then we'll go through how to erase without doing your whole screen." - }, - { - "start": "00:44.64", - "stop": "00:44.68", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "00:44.80", - "stop": "00:46.16", - "speaker": "Tutor", - "dialogue": "You see the pencil icon?" - }, - { - "start": "00:46.40", - "stop": "00:47.44", - "speaker": "Tutor", - "dialogue": "That's the third one down." - }, - { - "start": "00:48.32", - "stop": "00:49.16", - "speaker": "Student", - "dialogue": "Yeah, right." - }, - { - "start": "00:49.20", - "stop": "00:54.20", - "speaker": "Tutor", - "dialogue": "If you click on that, it'll um pop up a color in a size box." - }, - { - "start": "00:54.52", - "stop": "01:05.92", - "speaker": "Tutor", - "dialogue": "So if you want to change your color or size while you're drawing, you can and then there's the text box with a t in it that will allow you to actually type if you don't want to use the draw tool." - }, - { - "start": "01:07.76", - "stop": "01:07.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "01:07.92", - "stop": "01:13.56", - "speaker": "Tutor", - "dialogue": "Then for what you want to erase, you need the top arrow, which is your select tool." - }, - { - "start": "01:14.72", - "stop": "01:18.76", - "speaker": "Tutor", - "dialogue": "You would select whatever it is that either you want to move around." - }, - { - "start": "01:20.72", - "stop": "01:20.76", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "01:21.28", - "stop": "01:34.48", - "speaker": "Tutor", - "dialogue": "Erase, once it's selected, the arrow that has an x in it, that is your erase tool, and it will erase whatever you have selected and not everything." - }, - { - "start": "01:35.72", - "stop": "01:35.76", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "01:36.00", - "stop": "01:38.88", - "speaker": "Tutor", - "dialogue": "Practice drawing something and then erasing it." - }, - { - "start": "01:46.44", - "stop": "01:48.48", - "speaker": "Student", - "dialogue": "Right then, wit." - }, - { - "start": "02:04.04", - "stop": "02:05.12", - "speaker": "Tutor", - "dialogue": "Yeah, it's a little tricky." - }, - { - "start": "02:05.28", - "stop": "02:06.32", - "speaker": "Tutor", - "dialogue": "Huh, use your." - }, - { - "start": "02:06.64", - "stop": "02:08.00", - "speaker": "Tutor", - "dialogue": "Um, So the top arrow?" - }, - { - "start": "02:08.84", - "stop": "02:14.48", - "speaker": "Tutor", - "dialogue": "that's your select tool, so make sure it's highlighted and then select what you want to either move or erase there you." - }, - { - "start": "02:14.60", - "stop": "02:14.64", - "speaker": "Student", - "dialogue": "Go" - }, - { - "start": "02:17.88", - "stop": "02:18.16", - "speaker": "Student", - "dialogue": "nice." - }, - { - "start": "02:19.24", - "stop": "02:20.52", - "speaker": "Tutor", - "dialogue": "Any questions about the tools?" - }, - { - "start": "02:22.48", - "stop": "02:22.76", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "02:23.32", - "stop": "02:28.36", - "speaker": "Tutor", - "dialogue": "And then we're also going to be talking like this, and I'll be asking you a lot of questions." - }, - { - "start": "02:29.12", - "stop": "02:31.88", - "speaker": "Tutor", - "dialogue": "Uh, but it's just because I want to know more about how you're thinking." - }, - { - "start": "02:32.64", - "stop": "02:40.68", - "speaker": "Tutor", - "dialogue": "So whenever you're working through something and you're thinking something in your head, the more you can say it out loud, the better like." - }, - { - "start": "02:40.92", - "stop": "02:45.60", - "speaker": "Tutor", - "dialogue": "I'm not sure if I put it here or here, but I'm going to try here like any of that stuff." - }, - { - "start": "02:45.76", - "stop": "02:47.76", - "speaker": "Tutor", - "dialogue": "Say it out loud as much as you can." - }, - { - "start": "02:48.44", - "stop": "02:52.92", - "speaker": "Tutor", - "dialogue": "And if I ask you questions, it doesn't necessarily mean that something is incorrect." - }, - { - "start": "02:53.36", - "stop": "02:55.48", - "speaker": "Tutor", - "dialogue": "Just means I want to know more about how you're thinking." - }, - { - "start": "02:57.20", - "stop": "02:57.52", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "02:58.80", - "stop": "03:10.32", - "speaker": "Tutor", - "dialogue": "And then one final thing, since I cannot see your face, it's really helpful if I ask you something, and you want some time to think about it, To just verbalize that like Ah, I don't know." - }, - { - "start": "03:10.64", - "stop": "03:16.92", - "speaker": "Tutor", - "dialogue": "Let me think about that and then I will know not to interrupt your thinking by asking more questions." - }, - { - "start": "03:17.00", - "stop": "03:18.48", - "speaker": "Tutor", - "dialogue": "I'll give you some quiet think time." - }, - { - "start": "03:20.88", - "stop": "03:21.24", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "03:21.76", - "stop": "03:22.76", - "speaker": "Tutor", - "dialogue": "You ready to get started?" - }, - { - "start": "03:23.96", - "stop": "03:24.28", - "speaker": "Student", - "dialogue": "Col." - }, - { - "start": "03:24.72", - "stop": "03:25.96", - "speaker": "Tutor", - "dialogue": "I'm going to change the screen." - }, - { - "start": "03:29.08", - "stop": "03:29.12", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "03:29.24", - "stop": "03:31.08", - "speaker": "Tutor", - "dialogue": "You see something different on your screen now." - }, - { - "start": "03:31.96", - "stop": "03:32.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:33.48", - "stop": "03:39.32", - "speaker": "Tutor", - "dialogue": "Read and look it over, and then describe to me what you think is happening in this situation." - }, - { - "start": "04:02.48", - "stop": "04:02.52", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "04:02.64", - "stop": "04:04.44", - "speaker": "Tutor", - "dialogue": "Do you think is going on in this situation?" - }, - { - "start": "04:06.12", - "stop": "04:17.76", - "speaker": "Student", - "dialogue": "Um, maybe like they're measuring how far or how long it would take to get from Providence to Newark." - }, - { - "start": "04:18.84", - "stop": "04:24.32", - "speaker": "Tutor", - "dialogue": "Cool if they're measuring how far or how long what units would they be using to?" - }, - { - "start": "04:24.40", - "stop": "04:36.36", - "speaker": "Student", - "dialogue": "Do that, um, miles and hours?" - }, - { - "start": "04:36.96", - "stop": "04:37.08", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "04:40.32", - "stop": "04:43.24", - "speaker": "Tutor", - "dialogue": "Anything else that we might be able to measure in the situation?" - }, - { - "start": "04:51.80", - "stop": "04:54.00", - "speaker": "Student", - "dialogue": "Um, how many miles per hour the car is driving?" - }, - { - "start": "04:55.24", - "stop": "04:57.76", - "speaker": "Tutor", - "dialogue": "Wo mile per hour be keeping track of." - }, - { - "start": "05:01.44", - "stop": "05:05.60", - "speaker": "Student", - "dialogue": "The distance by hour, like how far they're moving per hour." - }, - { - "start": "05:06.44", - "stop": "05:08.60", - "speaker": "Tutor", - "dialogue": "Ah, and do you know how else we can describe that?" - }, - { - "start": "05:08.88", - "stop": "05:11.52", - "speaker": "Tutor", - "dialogue": "What's that thing that we're talking about with the car?" - }, - { - "start": "05:11.92", - "stop": "05:14.88", - "speaker": "Tutor", - "dialogue": "if we're describing how far per hour it's going?" - }, - { - "start": "05:27.08", - "stop": "05:34.04", - "speaker": "Student", - "dialogue": "Uh, the mileage I think, is it?" - }, - { - "start": "05:34.28", - "stop": "05:34.92", - "speaker": "Student", - "dialogue": "Ah, I do't." - }, - { - "start": "05:34.96", - "stop": "05:36.44", - "speaker": "Tutor", - "dialogue": "Knows it's describing something." - }, - { - "start": "05:36.76", - "stop": "05:38.04", - "speaker": "Tutor", - "dialogue": "we'll explore that some more." - }, - { - "start": "05:38.40", - "stop": "05:41.00", - "speaker": "Tutor", - "dialogue": "What is miles per hour keeping track of?" - }, - { - "start": "05:43.12", - "stop": "05:43.36", - "speaker": "Student", - "dialogue": "Hold." - }, - { - "start": "05:43.44", - "stop": "05:46.04", - "speaker": "Tutor", - "dialogue": "That thought in your head and we'll come back to it, okay?" - }, - { - "start": "05:47.36", - "stop": "05:47.68", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "05:47.92", - "stop": "05:53.40", - "speaker": "Tutor", - "dialogue": "So now I'm going to uncover something and you tell me how it's similar or different to what you were thinking about." - }, - { - "start": "06:00.20", - "stop": "06:08.56", - "speaker": "Student", - "dialogue": "Uh, it's similar'cause the two different units I was talking about miles and hours and they're measuring the distance." - }, - { - "start": "06:10.00", - "stop": "06:15.92", - "speaker": "Tutor", - "dialogue": "Distance and time, Yup, and you also talked about miles per hour." - }, - { - "start": "06:16.36", - "stop": "06:18.68", - "speaker": "Tutor", - "dialogue": "Do you see miles per hour on this graph?" - }, - { - "start": "06:25.96", - "stop": "06:26.12", - "speaker": "Student", - "dialogue": "Sir." - }, - { - "start": "06:28.72", - "stop": "06:33.12", - "speaker": "Tutor", - "dialogue": "What is the relationship like looking at the map and the graph?" - }, - { - "start": "06:33.60", - "stop": "06:37.44", - "speaker": "Tutor", - "dialogue": "Can you describe each stage of the journey and what's going on?" - }, - { - "start": "06:45.08", - "stop": "06:58.20", - "speaker": "Student", - "dialogue": "They might be taking a couple of breaks after driving for a period of time, so there's point A, b, c, e, m, E and fh." - }, - { - "start": "06:58.64", - "stop": "06:59.40", - "speaker": "Tutor", - "dialogue": "See the brakes?" - }, - { - "start": "07:01.16", - "stop": "07:02.16", - "speaker": "Student", - "dialogue": "On the grap." - }, - { - "start": "07:02.68", - "stop": "07:03.52", - "speaker": "Tutor", - "dialogue": "Can you point to it?" - }, - { - "start": "07:04.48", - "stop": "07:04.80", - "speaker": "Tutor", - "dialogue": "okay?" - }, - { - "start": "07:11.80", - "stop": "07:11.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "07:12.64", - "stop": "07:14.12", - "speaker": "Tutor", - "dialogue": "Is that point a a break?" - }, - { - "start": "07:14.68", - "stop": "07:15.36", - "speaker": "Tutor", - "dialogue": "Is that what you just?" - }, - { - "start": "07:15.40", - "stop": "07:16.76", - "speaker": "Student", - "dialogue": "Like, uh, point A is the start." - }, - { - "start": "07:17.12", - "stop": "07:17.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "07:18.44", - "stop": "07:34.76", - "speaker": "Student", - "dialogue": "And then point B is a break, and then point C is another break, then D, E, and then." - }, - { - "start": "07:37.36", - "stop": "07:40.64", - "speaker": "Tutor", - "dialogue": "Label those breaks that you just talked about on the map." - }, - { - "start": "07:41.00", - "stop": "07:42.64", - "speaker": "Tutor", - "dialogue": "Where do you hear if they would be on the map?" - }, - { - "start": "07:50.12", - "stop": "07:57.24", - "speaker": "Student", - "dialogue": "Is right here you want me to label like the letters and stuff on it?" - }, - { - "start": "07:57.40", - "stop": "08:01.00", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, the more labels you use, the better it helps me understand your thinking." - }, - { - "start": "08:01.76", - "stop": "08:05.16", - "speaker": "Tutor", - "dialogue": "It also helps you keep track of everything that's going on in this situation." - }, - { - "start": "08:11.64", - "stop": "08:12.88", - "speaker": "Student", - "dialogue": "Does it have to be specific?" - }, - { - "start": "08:13.08", - "stop": "08:17.20", - "speaker": "Student", - "dialogue": "Like where it is cause I don't think it's going to be like accurate." - }, - { - "start": "08:17.36", - "stop": "08:20.60", - "speaker": "Tutor", - "dialogue": "Yeah, so it's gona be your best estimate of where it is." - }, - { - "start": "08:21.00", - "stop": "08:27.84", - "speaker": "Tutor", - "dialogue": "I am going to ask you to explain to me why you chose to put the points where you did so you can be thinking about that." - }, - { - "start": "09:08.76", - "stop": "09:10.20", - "speaker": "Student", - "dialogue": "Okay, all right." - }, - { - "start": "09:10.48", - "stop": "09:12.00", - "speaker": "Tutor", - "dialogue": "Are you ready to explain your thinking?" - }, - { - "start": "09:12.76", - "stop": "09:14.60", - "speaker": "Student", - "dialogue": "Yep, I." - }, - { - "start": "09:14.96", - "stop": "09:18.04", - "speaker": "Tutor", - "dialogue": "You can starth like, Why did you put the points where you did?" - }, - { - "start": "09:19.32", - "stop": "09:26.24", - "speaker": "Student", - "dialogue": "So from point A to B, it's quite a distance, so I decided to kind of space" - }, - { - "start": "09:26.32", - "stop": "09:52.04", - "speaker": "Student", - "dialogue": "it out more than everywhere else, and then B in C. it was a short drive until they took another break, so I put less spacing, and from C to D, it was pretty long, so I spaced it out more, and E and F are pretty close, so I put a short distance." - }, - { - "start": "09:53.08", - "stop": "09:55.92", - "speaker": "Student", - "dialogue": "F is also the ending of the drug." - }, - { - "start": "09:56.32", - "stop": "09:59.40", - "speaker": "Tutor", - "dialogue": "Excellent, you did an excellent job of explaining your thinking, Allright." - }, - { - "start": "09:59.44", - "stop": "10:06.08", - "speaker": "Tutor", - "dialogue": "I'm gonna type some purple words here, and I want you to think about how you could use these purple words to describe what's going on." - }, - { - "start": "10:18.16", - "stop": "10:18.40", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "10:18.48", - "stop": "10:19.08", - "speaker": "Tutor", - "dialogue": "Can you Sa?" - }, - { - "start": "10:20.24", - "stop": "10:20.28", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "10:20.80", - "stop": "10:21.08", - "speaker": "Tutor", - "dialogue": "A right." - }, - { - "start": "10:21.16", - "stop": "10:25.00", - "speaker": "Tutor", - "dialogue": "there are some things that are increasing or decreasing or staying the same" - }, - { - "start": "10:25.32", - "stop": "10:26.20", - "speaker": "Tutor", - "dialogue": "In the situation." - }, - { - "start": "10:26.84", - "stop": "10:34.68", - "speaker": "Tutor", - "dialogue": "You talked about things that we could measure or keep track of might be distance or miles in time or hours." - }, - { - "start": "10:35.48", - "stop": "10:44.04", - "speaker": "Tutor", - "dialogue": "So now thinking about each stage of the journey, use these purple words to describe what's happening." - }, - { - "start": "10:51.60", - "stop": "10:55.96", - "speaker": "Student", - "dialogue": "Um, must sing it out loud or like, Am I typing?" - }, - { - "start": "10:56.00", - "stop": "10:57.12", - "speaker": "Tutor", - "dialogue": "It up, ah, beautiful." - }, - { - "start": "10:57.24", - "stop": "11:00.60", - "speaker": "Tutor", - "dialogue": "You can do either what is most comfortable or helpful for you." - }, - { - "start": "11:02.56", - "stop": "11:18.44", - "speaker": "Student", - "dialogue": "I'll just say A lo, Um, from A to B. it's increasing, and from B to C. it's staying the same from C to D. It's increasing from Dt." - }, - { - "start": "11:18.76", - "stop": "11:19.60", - "speaker": "Student", - "dialogue": "it's increasing." - }, - { - "start": "11:21.40", - "stop": "11:29.00", - "speaker": "Tutor", - "dialogue": "'cause you're using it and I want you to be more specific from A to B. What is increasing, decreasing or staying the same?" - }, - { - "start": "11:29.56", - "stop": "11:30.08", - "speaker": "Student", - "dialogue": "The miles." - }, - { - "start": "11:30.72", - "stop": "11:33.60", - "speaker": "Tutor", - "dialogue": "Okay, so stay it altogether from A to B. What's going on?" - }, - { - "start": "11:34.40", - "stop": "11:38.48", - "speaker": "Student", - "dialogue": "From A to B, the miles wait, Ca. Can I say the miles and hours?" - }, - { - "start": "11:39.40", - "stop": "11:39.96", - "speaker": "Tutor", - "dialogue": "Go question." - }, - { - "start": "11:40.28", - "stop": "11:41.80", - "speaker": "Tutor", - "dialogue": "can you say those both at the same time?" - }, - { - "start": "11:41.88", - "stop": "11:43.92", - "speaker": "Tutor", - "dialogue": "Would you be able to describe them both in the same way?" - }, - { - "start": "11:44.84", - "stop": "11:48.16", - "speaker": "Student", - "dialogue": "Um, I think." - }, - { - "start": "11:48.52", - "stop": "11:49.24", - "speaker": "Tutor", - "dialogue": "Okay, go for it." - }, - { - "start": "11:49.32", - "stop": "11:49.84", - "speaker": "Tutor", - "dialogue": "Take shot." - }, - { - "start": "11:50.52", - "stop": "12:03.56", - "speaker": "Student", - "dialogue": "Okay, Um, from point A to B, the miles and hours are increasing from B to C. the miles are staying." - }, - { - "start": "12:04.00", - "stop": "12:18.92", - "speaker": "Student", - "dialogue": "No wait, Uh, the miles are staying the same and the hours are the hours is increasing." - }, - { - "start": "12:20.68", - "stop": "12:30.44", - "speaker": "Student", - "dialogue": "Uh, from C to D, both miles and hours are increasing, and from D to E it" - }, - { - "start": "12:31.16", - "stop": "12:43.76", - "speaker": "Student", - "dialogue": "the miles are increasing and the hours are increasing, and each F, both miles and hours are increasing too." - }, - { - "start": "12:44.80", - "stop": "12:48.20", - "speaker": "Tutor", - "dialogue": "So it sounds like miles and hours are increasing all along the way." - }, - { - "start": "12:49.28", - "stop": "12:49.32", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "12:50.28", - "stop": "12:59.72", - "speaker": "Tutor", - "dialogue": "Except for B to E, I'm sorry, B to C. and then you paused a little bit on D to E. What were you thinking with D to E?" - }, - { - "start": "13:01.52", - "stop": "13:07.20", - "speaker": "Student", - "dialogue": "Um, I soaw that the line wasn't as straight as all the other Um lines." - }, - { - "start": "13:07.76", - "stop": "13:08.28", - "speaker": "Student", - "dialogue": "What do you think?" - }, - { - "start": "13:08.32", - "stop": "13:08.88", - "speaker": "Student", - "dialogue": "Shall I get?" - }, - { - "start": "13:09.68", - "stop": "13:09.72", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "13:10.40", - "stop": "13:11.16", - "speaker": "Tutor", - "dialogue": "I interrupted you." - }, - { - "start": "13:11.28", - "stop": "13:11.96", - "speaker": "Tutor", - "dialogue": "I'm sorry you go." - }, - { - "start": "13:12.44", - "stop": "13:12.92", - "speaker": "Student", - "dialogue": "It's fine." - }, - { - "start": "13:13.08", - "stop": "13:13.88", - "speaker": "Student", - "dialogue": "I'm done talk." - }, - { - "start": "13:14.20", - "stop": "13:15.64", - "speaker": "Tutor", - "dialogue": "Okay, So what do you think that means?" - }, - { - "start": "13:16.48", - "stop": "13:18.16", - "speaker": "Tutor", - "dialogue": "Why isn't it as straight there?" - }, - { - "start": "13:18.80", - "stop": "13:19.56", - "speaker": "Tutor", - "dialogue": "What's happening?" - }, - { - "start": "13:21.04", - "stop": "13:28.28", - "speaker": "Student", - "dialogue": "Um, I am not too sure." - }, - { - "start": "13:29.04", - "stop": "13:35.12", - "speaker": "Tutor", - "dialogue": "Awesome as a teacher, I get super excited when you say that and like earlier, you're like, Um, wait, is it Miles?" - }, - { - "start": "13:35.24", - "stop": "13:35.64", - "speaker": "Tutor", - "dialogue": "Wait, Are" - }, - { - "start": "13:35.68", - "stop": "13:36.04", - "speaker": "Tutor", - "dialogue": "they both?" - }, - { - "start": "13:36.36", - "stop": "13:39.20", - "speaker": "Tutor", - "dialogue": "Whenever you have that hesitation, that means your" - }, - { - "start": "13:39.28", - "stop": "13:46.64", - "speaker": "Tutor", - "dialogue": "brain is in the sweet spot of learning right now's, trying to make sense of something and understand it, and that's awesome." - }, - { - "start": "13:47.08", - "stop": "13:48.96", - "speaker": "Tutor", - "dialogue": "Lean int to that feeling okay." - }, - { - "start": "13:50.48", - "stop": "13:50.60", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "13:50.72", - "stop": "13:53.52", - "speaker": "Tutor", - "dialogue": "Right, so something's going on from D. to." - }, - { - "start": "13:53.64", - "stop": "13:53.68", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "13:55.20", - "stop": "14:00.28", - "speaker": "Tutor", - "dialogue": "But you're not quite sure what it is or how to explain it is that fair to say." - }, - { - "start": "14:01.84", - "stop": "14:02.08", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "14:02.28", - "stop": "14:08.20", - "speaker": "Tutor", - "dialogue": "We're going to explore that some more, so let's come back over here on your points on your map." - }, - { - "start": "14:09.76", - "stop": "14:09.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "14:09.96", - "stop": "14:16.76", - "speaker": "Tutor", - "dialogue": "Let's see if what you predicted for where your points are match what you said is happening in that section." - }, - { - "start": "14:18.92", - "stop": "14:18.96", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "14:19.16", - "stop": "14:23.08", - "speaker": "Tutor", - "dialogue": "From A to B, you said the miles and the hours are increasing." - }, - { - "start": "14:23.76", - "stop": "14:25.40", - "speaker": "Tutor", - "dialogue": "Is that what you showed on the map?" - }, - { - "start": "14:28.96", - "stop": "14:29.00", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "14:29.16", - "stop": "14:35.00", - "speaker": "Tutor", - "dialogue": "You do you know how much the miles are increasing or how much the hours are increasing?" - }, - { - "start": "14:37.56", - "stop": "14:43.84", - "speaker": "Student", - "dialogue": "Ah, the miles increased by fifty, and the hours increased B." - }, - { - "start": "14:44.64", - "stop": "14:54.20", - "speaker": "Tutor", - "dialogue": "Awesome, so label that somehow you can either edit the text-box that I've started by clicking on it with the select tool, or you can use any other tool to label." - }, - { - "start": "14:55.72", - "stop": "14:55.84", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "14:55.88", - "stop": "14:57.00", - "speaker": "Tutor", - "dialogue": "It makes better sense to you." - }, - { - "start": "15:04.52", - "stop": "15:06.24", - "speaker": "Student", - "dialogue": "So like wait?" - }, - { - "start": "15:06.76", - "stop": "15:12.68", - "speaker": "Tutor", - "dialogue": "The question was do you know how much the miles are increasing and how much the hours are increasing?" - }, - { - "start": "15:13.24", - "stop": "15:14.60", - "speaker": "Student", - "dialogue": "Would it be okay if I wrote it like that?" - }, - { - "start": "15:15.28", - "stop": "15:16.88", - "speaker": "Tutor", - "dialogue": "Um, I can't see till you click off." - }, - { - "start": "15:17.28", - "stop": "15:18.20", - "speaker": "Student", - "dialogue": "Oh, okay, um?" - }, - { - "start": "15:20.40", - "stop": "15:25.08", - "speaker": "Tutor", - "dialogue": "As soon as you're done typing in the text box, if you click out of it, then I'm able to see what you typed." - }, - { - "start": "15:33.04", - "stop": "15:33.28", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "15:33.44", - "stop": "15:35.92", - "speaker": "Tutor", - "dialogue": "So our increasing miles, fifty hours, one." - }, - { - "start": "15:37.72", - "stop": "15:37.88", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "15:38.00", - "stop": "15:42.44", - "speaker": "Tutor", - "dialogue": "That help you keep track of how much the change is in those sections." - }, - { - "start": "15:43.32", - "stop": "15:44.08", - "speaker": "Student", - "dialogue": "Yeah, okay." - }, - { - "start": "15:44.44", - "stop": "15:48.08", - "speaker": "Tutor", - "dialogue": "Then that works, because these labels are for you all right now." - }, - { - "start": "15:49.64", - "stop": "15:50.92", - "speaker": "Tutor", - "dialogue": "The next section was b to C." - }, - { - "start": "15:54.04", - "stop": "15:54.08", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "15:54.40", - "stop": "15:55.80", - "speaker": "Tutor", - "dialogue": "You said this." - }, - { - "start": "16:06.20", - "stop": "16:06.40", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "16:06.48", - "stop": "16:07.92", - "speaker": "Tutor", - "dialogue": "Your map show that as well." - }, - { - "start": "16:09.52", - "stop": "16:11.20", - "speaker": "Student", - "dialogue": "Yeah, I wait." - }, - { - "start": "16:13.48", - "stop": "16:15.88", - "speaker": "Student", - "dialogue": "Um, No, it doesn't." - }, - { - "start": "16:17.36", - "stop": "16:17.72", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "16:19.40", - "stop": "16:29.88", - "speaker": "Student", - "dialogue": "B and C are in two different places, so it kind of looks like the miles increased on the map, but it didn't." - }, - { - "start": "16:30.88", - "stop": "16:34.64", - "speaker": "Tutor", - "dialogue": "Ah, so do you want to revise anything, or do you want to keep it the way it is?" - }, - { - "start": "16:35.84", - "stop": "16:36.64", - "speaker": "Student", - "dialogue": "Oh, fix it." - }, - { - "start": "16:37.80", - "stop": "16:39.88", - "speaker": "Tutor", - "dialogue": "Are you allowed to revise in math?" - }, - { - "start": "16:41.08", - "stop": "16:41.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "16:41.60", - "stop": "16:48.40", - "speaker": "Tutor", - "dialogue": "Yeah, absolutely, that's a beautiful part of problem solving, so feel free to revise or edit at any time." - }, - { - "start": "17:00.04", - "stop": "17:00.76", - "speaker": "Student", - "dialogue": "I'll just write." - }, - { - "start": "17:01.00", - "stop": "17:01.92", - "speaker": "Student", - "dialogue": "See next, too." - }, - { - "start": "17:03.36", - "stop": "17:05.00", - "speaker": "Tutor", - "dialogue": "And that helps you know they're at the same point." - }, - { - "start": "17:05.80", - "stop": "17:06.48", - "speaker": "Student", - "dialogue": "Yep, cool." - }, - { - "start": "17:06.72", - "stop": "17:15.04", - "speaker": "Tutor", - "dialogue": "And then, with your label, how can you keep track of how much the distance is changing, or how much the time is changing?" - }, - { - "start": "17:17.16", - "stop": "17:17.20", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "17:17.28", - "stop": "17:19.04", - "speaker": "Tutor", - "dialogue": "Can label it any way that makes sense for you?" - }, - { - "start": "17:26.40", - "stop": "17:27.36", - "speaker": "Student", - "dialogue": "Oh, where am I writing?" - }, - { - "start": "17:27.40", - "stop": "17:28.76", - "speaker": "Tutor", - "dialogue": "It where where you want." - }, - { - "start": "17:29.52", - "stop": "17:35.44", - "speaker": "Student", - "dialogue": "Okay, sorry, when am I writing again?" - }, - { - "start": "17:36.24", - "stop": "17:42.56", - "speaker": "Tutor", - "dialogue": "Um, how much are the miles and hours changing from B to C?" - }, - { - "start": "17:44.12", - "stop": "17:52.60", - "speaker": "Student", - "dialogue": "Okay, so I can add it on to the textbox with a sign." - }, - { - "start": "17:52.72", - "stop": "17:52.96", - "speaker": "Student", - "dialogue": "Sure." - }, - { - "start": "17:53.28", - "stop": "17:54.76", - "speaker": "Tutor", - "dialogue": "Sign that's helpfl for you." - }, - { - "start": "18:41.72", - "stop": "18:42.16", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "18:42.28", - "stop": "18:44.24", - "speaker": "Tutor", - "dialogue": "Are increasing by fifty miles?" - }, - { - "start": "18:45.48", - "stop": "18:49.28", - "speaker": "Student", - "dialogue": "Well, actually the they stay the same cut." - }, - { - "start": "18:50.20", - "stop": "18:51.20", - "speaker": "Student", - "dialogue": "So do I like." - }, - { - "start": "18:51.60", - "stop": "18:53.56", - "speaker": "Student", - "dialogue": "Yeah, I just 'm right down the same thing." - }, - { - "start": "18:54.28", - "stop": "18:54.32", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "18:54.68", - "stop": "18:54.72", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "18:55.12", - "stop": "18:55.24", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "18:55.96", - "stop": "19:03.36", - "speaker": "Tutor", - "dialogue": "What we're looking at right here is just the section from B to C. Mhm. How much is distance increasing?" - }, - { - "start": "19:03.72", - "stop": "19:06.12", - "speaker": "Student", - "dialogue": "Okay, so I wouldn't put zero it." - }, - { - "start": "19:07.08", - "stop": "19:09.40", - "speaker": "Tutor", - "dialogue": "I don't know you tell me, is it?" - }, - { - "start": "19:09.64", - "stop": "19:13.32", - "speaker": "Tutor", - "dialogue": "Yes, I know it's zero or I'm not sure, and I need some more time to think if it's zero." - }, - { - "start": "19:14.60", - "stop": "19:16.84", - "speaker": "Student", - "dialogue": "Ahz." - }, - { - "start": "19:17.36", - "stop": "19:18.28", - "speaker": "Tutor", - "dialogue": "Way to be confident." - }, - { - "start": "19:21.16", - "stop": "19:21.20", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "19:21.32", - "stop": "19:22.16", - "speaker": "Tutor", - "dialogue": "What about the time?" - }, - { - "start": "19:22.36", - "stop": "19:26.00", - "speaker": "Tutor", - "dialogue": "How much has the time changed from B to C?" - }, - { - "start": "19:26.28", - "stop": "19:26.52", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "19:43.40", - "stop": "19:43.52", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "19:43.56", - "stop": "19:44.76", - "speaker": "Tutor", - "dialogue": "You happy with it or anything?" - }, - { - "start": "19:44.84", - "stop": "19:45.56", - "speaker": "Tutor", - "dialogue": "you wann to revise." - }, - { - "start": "19:46.72", - "stop": "19:47.60", - "speaker": "Student", - "dialogue": "Ah, I think it did." - }, - { - "start": "19:47.92", - "stop": "19:48.20", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "19:48.48", - "stop": "19:51.44", - "speaker": "Tutor", - "dialogue": "Okay, Keep going Ce to D. What's going on there?" - }, - { - "start": "19:56.20", - "stop": "19:56.24", - "speaker": "Student", - "dialogue": "Uh?" - }, - { - "start": "20:50.96", - "stop": "20:52.88", - "speaker": "Tutor", - "dialogue": "Is your map match what you wrote?" - }, - { - "start": "20:56.40", - "stop": "21:06.00", - "speaker": "Student", - "dialogue": "Um, D might be a little bit too far." - }, - { - "start": "21:11.00", - "stop": "21:11.32", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "21:11.56", - "stop": "21:22.64", - "speaker": "Student", - "dialogue": "From point A to B and C, Um, it was a shorter distance so I could move point D up a little bit more." - }, - { - "start": "21:23.16", - "stop": "21:23.80", - "speaker": "Student", - "dialogue": "So could B." - }, - { - "start": "21:46.80", - "stop": "21:46.96", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "21:47.12", - "stop": "21:47.16", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "21:47.44", - "stop": "21:47.68", - "speaker": "Tutor", - "dialogue": "To B." - }, - { - "start": "21:49.32", - "stop": "21:49.36", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "21:49.48", - "stop": "21:51.12", - "speaker": "Tutor", - "dialogue": "Have a question for you, you said." - }, - { - "start": "21:53.24", - "stop": "21:53.52", - "speaker": "Student", - "dialogue": "Carr." - }, - { - "start": "21:53.60", - "stop": "21:56.44", - "speaker": "Tutor", - "dialogue": "Had traveled fifty miles and it took one hour." - }, - { - "start": "21:57.68", - "stop": "21:57.72", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "21:57.84", - "stop": "22:02.48", - "speaker": "Tutor", - "dialogue": "There's a Kirby line here that represents that section of the trip." - }, - { - "start": "22:04.28", - "stop": "22:04.48", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "22:04.64", - "stop": "22:07.80", - "speaker": "Tutor", - "dialogue": "A to B on the graph, it's a straight line." - }, - { - "start": "22:11.40", - "stop": "22:11.52", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "22:11.60", - "stop": "22:14.76", - "speaker": "Tutor", - "dialogue": "Come, it's curvey on the map, but it's straight on." - }, - { - "start": "22:30.44", - "stop": "22:31.08", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "22:32.20", - "stop": "22:32.48", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "22:32.84", - "stop": "22:34.04", - "speaker": "Tutor", - "dialogue": "let's dig into that some more." - }, - { - "start": "22:34.72", - "stop": "22:40.04", - "speaker": "Tutor", - "dialogue": "What is the map keeping track of, and what is the graph keeping track of?" - }, - { - "start": "22:41.76", - "stop": "22:52.04", - "speaker": "Student", - "dialogue": "Oh, the map is keeping track of where the car is driving, and the graph is keeping track of the miles and how many hours it takes." - }, - { - "start": "22:53.28", - "stop": "23:00.44", - "speaker": "Tutor", - "dialogue": "So the map is keeping track of the actual path the car took, so we know that there we some curves on the road." - }, - { - "start": "23:02.68", - "stop": "23:02.72", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "23:02.88", - "stop": "23:08.32", - "speaker": "Tutor", - "dialogue": "Graph is keeping track of how far the car has traveled in what amount of time." - }, - { - "start": "23:09.96", - "stop": "23:10.00", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "23:10.24", - "stop": "23:20.04", - "speaker": "Tutor", - "dialogue": "Is it possible to have a straight line here if we're keeping track of distance or miles in relationship to ours and a kirby line here?" - }, - { - "start": "23:23.44", - "stop": "23:23.64", - "speaker": "Student", - "dialogue": "Why?" - }, - { - "start": "23:26.84", - "stop": "23:27.16", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "23:28.56", - "stop": "23:41.40", - "speaker": "Student", - "dialogue": "The map isn't recording miles and hours more, just like directions of the where the car is driving to." - }, - { - "start": "23:41.80", - "stop": "23:44.92", - "speaker": "Tutor", - "dialogue": "It's a really cool explanation using that term recording." - }, - { - "start": "23:45.40", - "stop": "23:46.88", - "speaker": "Tutor", - "dialogue": "Yeah, that's what it's keeping track of." - }, - { - "start": "23:47.08", - "stop": "23:48.48", - "speaker": "Tutor", - "dialogue": "That's nice cool." - }, - { - "start": "23:49.52", - "stop": "23:49.80", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "23:50.20", - "stop": "23:52.76", - "speaker": "Tutor", - "dialogue": "So now we go to D to E." - }, - { - "start": "23:55.64", - "stop": "23:56.04", - "speaker": "Student", - "dialogue": "Earlier." - }, - { - "start": "23:56.16", - "stop": "23:59.36", - "speaker": "Tutor", - "dialogue": "You told me something about distance and time." - }, - { - "start": "24:00.48", - "stop": "24:02.92", - "speaker": "Tutor", - "dialogue": "What's going on with distance and time from D to E?" - }, - { - "start": "24:08.44", - "stop": "24:22.76", - "speaker": "Student", - "dialogue": "M, it's increasing." - }, - { - "start": "24:24.56", - "stop": "24:27.56", - "speaker": "Tutor", - "dialogue": "And you used it challenge yourselve." - }, - { - "start": "24:27.72", - "stop": "24:30.20", - "speaker": "Tutor", - "dialogue": "To be more specific with all those purple power words." - }, - { - "start": "24:30.36", - "stop": "24:46.88", - "speaker": "Tutor", - "dialogue": "I'm telling you that on purpose, because any time you're thinking about a graph, the more you can challenge yourself to be specific about what is changing and how it's changing will help you understand the graph a lot more deeplyk." - }, - { - "start": "24:47.16", - "stop": "24:50.20", - "speaker": "Student", - "dialogue": "So the miles and hours are increasing." - }, - { - "start": "24:50.76", - "stop": "24:55.28", - "speaker": "Tutor", - "dialogue": "Okay, so from D to E, the miles and hours are increasing." - }, - { - "start": "25:00.12", - "stop": "25:00.32", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "25:00.44", - "stop": "25:01.04", - "speaker": "Tutor", - "dialogue": "C to D." - }, - { - "start": "25:02.76", - "stop": "25:02.80", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "25:03.00", - "stop": "25:06.08", - "speaker": "Tutor", - "dialogue": "Said the same thing, miles and hours are increasing." - }, - { - "start": "25:07.52", - "stop": "25:07.56", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "25:07.88", - "stop": "25:12.00", - "speaker": "Tutor", - "dialogue": "Makes one of these lines straight and one of em bumpy." - }, - { - "start": "25:18.60", - "stop": "25:25.56", - "speaker": "Student", - "dialogue": "Um, of a question." - }, - { - "start": "25:25.96", - "stop": "25:26.56", - "speaker": "Tutor", - "dialogue": "Absolutely." - }, - { - "start": "25:27.08", - "stop": "25:30.76", - "speaker": "Student", - "dialogue": "Depending on what speed do drive does like." - }, - { - "start": "25:32.96", - "stop": "25:34.52", - "speaker": "Student", - "dialogue": "Oh, never mind, never mind." - }, - { - "start": "25:34.96", - "stop": "25:35.76", - "speaker": "Student", - "dialogue": "I think I got it." - }, - { - "start": "25:37.48", - "stop": "25:37.76", - "speaker": "Tutor", - "dialogue": "Mae." - }, - { - "start": "25:38.80", - "stop": "25:53.40", - "speaker": "Student", - "dialogue": "I was going to ask if the speed determines the amount of miles and hours, but I realized if you drive slower, you're going to drive less miles, but wait, not more." - }, - { - "start": "25:53.60", - "stop": "26:01.60", - "speaker": "Student", - "dialogue": "wait, Ah, you're going to drive less miles but more hours." - }, - { - "start": "26:02.60", - "stop": "26:03.92", - "speaker": "Tutor", - "dialogue": "Ah, I love it." - }, - { - "start": "26:04.36", - "stop": "26:05.80", - "speaker": "Tutor", - "dialogue": "love the depth of this thinking." - }, - { - "start": "26:06.28", - "stop": "26:10.80", - "speaker": "Tutor", - "dialogue": "So what is the relationship between speed miles and hours?" - }, - { - "start": "26:15.56", - "stop": "26:18.84", - "speaker": "Student", - "dialogue": "Uh, miles and hours depend on what speed you're going." - }, - { - "start": "26:19.32", - "stop": "26:25.96", - "speaker": "Tutor", - "dialogue": "Yeah, speed is this thing that's made up of how many miles?" - }, - { - "start": "26:27.92", - "stop": "26:27.96", - "speaker": "Student", - "dialogue": "Have?" - }, - { - "start": "26:28.12", - "stop": "26:31.24", - "speaker": "Tutor", - "dialogue": "You traveled per one hour." - }, - { - "start": "26:35.48", - "stop": "26:35.52", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "26:35.76", - "stop": "26:43.08", - "speaker": "Tutor", - "dialogue": "What's going on from C to D and D to E in relationship to all of this stuff?" - }, - { - "start": "26:43.48", - "stop": "26:52.96", - "speaker": "Tutor", - "dialogue": "How come one has this nice smooth line and one has this bumpy line if in both of them distance and time are increasing?" - }, - { - "start": "26:55.36", - "stop": "27:10.28", - "speaker": "Student", - "dialogue": "So from C to D, they're driving a consistent speed, which makes the line straight and D and e. to from d to e, Um, they might be driving different speeds." - }, - { - "start": "27:12.24", - "stop": "27:14.76", - "speaker": "Tutor", - "dialogue": "So I add it to your description here from C to D." - }, - { - "start": "27:16.96", - "stop": "27:17.00", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "27:17.12", - "stop": "27:18.48", - "speaker": "Tutor", - "dialogue": "Said consistent speed." - }, - { - "start": "27:19.28", - "stop": "27:37.36", - "speaker": "Tutor", - "dialogue": "Yes, and the word that we use in math to describe that is that it's a constant rate, So the speed is constant from C to D. That's what makes it that linear relationship that you see here, n, D to E. is it constant or not constant?" - }, - { - "start": "27:38.72", - "stop": "27:39.48", - "speaker": "Student", - "dialogue": "Not constant." - }, - { - "start": "27:39.72", - "stop": "27:41.24", - "speaker": "Tutor", - "dialogue": "And what does that mean about the speed?" - }, - { - "start": "27:42.60", - "stop": "27:52.60", - "speaker": "Student", - "dialogue": "That it increasing or decreasing socreasing?" - }, - { - "start": "27:54.72", - "stop": "27:55.92", - "speaker": "Tutor", - "dialogue": "I'm going to move this one." - }, - { - "start": "27:59.72", - "stop": "27:59.76", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "27:59.84", - "stop": "28:02.24", - "speaker": "Tutor", - "dialogue": "You're going to work on box D to E up here." - }, - { - "start": "28:03.04", - "stop": "28:04.64", - "speaker": "Tutor", - "dialogue": "What do you know about the miles?" - }, - { - "start": "28:06.56", - "stop": "28:06.60", - "speaker": "Student", - "dialogue": "In." - }, - { - "start": "28:06.76", - "stop": "28:08.44", - "speaker": "Tutor", - "dialogue": "Hours, you said you know they were increasing." - }, - { - "start": "28:09.00", - "stop": "28:11.04", - "speaker": "Tutor", - "dialogue": "How much are they increasing?" - }, - { - "start": "28:11.76", - "stop": "28:14.08", - "speaker": "Tutor", - "dialogue": "And what do you know about the speed from D to E?" - }, - { - "start": "28:16.76", - "stop": "28:16.92", - "speaker": "Student", - "dialogue": "I'll" - }, - { - "start": "28:16.92", - "stop": "28:18.12", - "speaker": "Tutor", - "dialogue": "Click out of it so you can get it." - }, - { - "start": "28:26.56", - "stop": "28:28.52", - "speaker": "Student", - "dialogue": "Does point wait?" - }, - { - "start": "28:29.16", - "stop": "28:29.20", - "speaker": "Student", - "dialogue": "Uh?" - }, - { - "start": "28:29.72", - "stop": "28:39.00", - "speaker": "Student", - "dialogue": "Does it have to be like an accurate amount of miles, since point E isn't really graphed on a point?" - }, - { - "start": "28:39.56", - "stop": "28:40.76", - "speaker": "Tutor", - "dialogue": "You Ca do an estimate?" - }, - { - "start": "28:41.48", - "stop": "29:44.60", - "speaker": "Tutor", - "dialogue": "Ok, Are you editing or thinking?" - }, - { - "start": "29:46.68", - "stop": "30:52.08", - "speaker": "Student", - "dialogue": "M thinking from D to E." - }, - { - "start": "30:52.40", - "stop": "30:53.68", - "speaker": "Tutor", - "dialogue": "The miles and hours are." - }, - { - "start": "30:53.80", - "stop": "30:56.00", - "speaker": "Student", - "dialogue": "Increasingirty." - }, - { - "start": "30:56.04", - "stop": "31:03.16", - "speaker": "Tutor", - "dialogue": "Fve's." - }, - { - "start": "31:03.20", - "stop": "31:03.56", - "speaker": "Student", - "dialogue": "Happening?" - }, - { - "start": "31:03.60", - "stop": "31:04.96", - "speaker": "Tutor", - "dialogue": "With thepeedrom E." - }, - { - "start": "31:07.84", - "stop": "31:10.12", - "speaker": "Student", - "dialogue": "It's decreasing and increasing." - }, - { - "start": "31:10.76", - "stop": "31:12.60", - "speaker": "Tutor", - "dialogue": "Ad, it's varying, isn't it?" - }, - { - "start": "31:13.36", - "stop": "31:13.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "31:14.20", - "stop": "31:18.76", - "speaker": "Tutor", - "dialogue": "C to D, nice, consistent or constant rate." - }, - { - "start": "31:19.08", - "stop": "31:25.28", - "speaker": "Tutor", - "dialogue": "Have the cruise controls set, traveling fifty miles an hour, and then my speed." - }, - { - "start": "31:25.92", - "stop": "31:26.60", - "speaker": "Tutor", - "dialogue": "I speed up." - }, - { - "start": "31:26.76", - "stop": "31:27.40", - "speaker": "Tutor", - "dialogue": "Stay the same." - }, - { - "start": "31:27.56", - "stop": "31:28.84", - "speaker": "Tutor", - "dialogue": "Slow down on speed up." - }, - { - "start": "31:29.68", - "stop": "31:32.32", - "speaker": "Tutor", - "dialogue": "What's going on on our journey from D to E?" - }, - { - "start": "31:32.60", - "stop": "31:33.92", - "speaker": "Tutor", - "dialogue": "That's causing this to happen?" - }, - { - "start": "31:53.16", - "stop": "31:54.72", - "speaker": "Student", - "dialogue": "I'm not sure where." - }, - { - "start": "31:54.80", - "stop": "31:56.92", - "speaker": "Tutor", - "dialogue": "Did you put D to E on your map?" - }, - { - "start": "32:02.80", - "stop": "32:49.80", - "speaker": "Student", - "dialogue": "Um, I put the I put um, d, um farthest from E. but then I realized that the miles from D to E is less than Um, points A to B and C to D, so I think I should fix it, But then from E to F is a short distance, so I'm not sure how I would write that out." - }, - { - "start": "32:51.32", - "stop": "32:51.76", - "speaker": "Tutor", - "dialogue": "Take your be." - }, - { - "start": "32:52.48", - "stop": "32:56.68", - "speaker": "Tutor", - "dialogue": "Yeah, take your best guess what would be going on and you don't have to change your points." - }, - { - "start": "32:56.80", - "stop": "32:57.68", - "speaker": "Tutor", - "dialogue": "I get what you're saying." - }, - { - "start": "32:57.88", - "stop": "33:08.88", - "speaker": "Tutor", - "dialogue": "You're saying that you might want to change the distance of these because D to E is a really long distance, But you just realize that it isn't a really long distance when you actually looked closer at the graph." - }, - { - "start": "33:09.08", - "stop": "33:09.92", - "speaker": "Tutor", - "dialogue": "Is that what you're saying?" - }, - { - "start": "33:10.92", - "stop": "33:10.96", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "33:11.48", - "stop": "33:13.12", - "speaker": "Tutor", - "dialogue": "So I understand what you're thinking." - }, - { - "start": "33:13.44", - "stop": "33:15.36", - "speaker": "Tutor", - "dialogue": "Don't worry about changing those dots." - }, - { - "start": "33:16.40", - "stop": "33:16.84", - "speaker": "Tutor", - "dialogue": "What is?" - }, - { - "start": "33:17.52", - "stop": "33:18.16", - "speaker": "Tutor", - "dialogue": "where are you?" - }, - { - "start": "33:18.36", - "stop": "33:23.20", - "speaker": "Tutor", - "dialogue": "Though, most likely that's causing you to be in stop and go traffic from D to E." - }, - { - "start": "33:27.88", - "stop": "33:29.20", - "speaker": "Student", - "dialogue": "Maybe on a busier road." - }, - { - "start": "33:29.64", - "stop": "33:33.44", - "speaker": "Tutor", - "dialogue": "Yeah, what happens as you get closer to New York City or into New York City?" - }, - { - "start": "33:34.16", - "stop": "33:35.20", - "speaker": "Student", - "dialogue": "It's a lot of traffic." - }, - { - "start": "33:35.48", - "stop": "33:39.72", - "speaker": "Tutor", - "dialogue": "A lot of traffic, so you're not able to drive at a constant speed." - }, - { - "start": "33:40.48", - "stop": "33:42.12", - "speaker": "Tutor", - "dialogue": "There's some stop and go traffic." - }, - { - "start": "33:43.40", - "stop": "33:47.80", - "speaker": "Tutor", - "dialogue": "Something happened up here at B to C where you were in complete standstill traffic." - }, - { - "start": "33:49.28", - "stop": "33:49.32", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "33:49.56", - "stop": "33:50.20", - "speaker": "Tutor", - "dialogue": "Thirty minutes." - }, - { - "start": "33:51.76", - "stop": "33:51.84", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "33:51.96", - "stop": "33:52.64", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "33:53.28", - "stop": "33:53.32", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "33:53.84", - "stop": "34:03.52", - "speaker": "Tutor", - "dialogue": "All right, so if we were just going to look at the speed of the car, can you determine the speed of the car from this graph?" - }, - { - "start": "34:12.60", - "stop": "34:12.76", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "34:14.68", - "stop": "34:21.20", - "speaker": "Tutor", - "dialogue": "Is the car travelling at the same speed the whole trip, or is the speed changing throughout the trip?" - }, - { - "start": "34:22.16", - "stop": "34:23.24", - "speaker": "Student", - "dialogue": "The speed's changing." - }, - { - "start": "34:24.20", - "stop": "34:28.64", - "speaker": "Tutor", - "dialogue": "Do you have enough information to find out how fast the car is going?" - }, - { - "start": "34:30.72", - "stop": "34:32.68", - "speaker": "Student", - "dialogue": "I, I think so." - }, - { - "start": "34:33.16", - "stop": "34:34.16", - "speaker": "Tutor", - "dialogue": "What would you need to know?" - }, - { - "start": "34:37.84", - "stop": "34:39.20", - "speaker": "Student", - "dialogue": "A first, I have a question." - }, - { - "start": "34:39.64", - "stop": "34:39.80", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "34:40.68", - "stop": "34:47.24", - "speaker": "Student", - "dialogue": "Would the equation that she wrote on the right?" - }, - { - "start": "34:47.48", - "stop": "34:51.12", - "speaker": "Student", - "dialogue": "Would that help with trying to figure out the speed?" - }, - { - "start": "34:51.64", - "stop": "34:54.52", - "speaker": "Tutor", - "dialogue": "Good question, Caause, I didn't even call this an equation." - }, - { - "start": "34:55.00", - "stop": "35:00.00", - "speaker": "Tutor", - "dialogue": "I was just writing in symbols, the relationship that you were describing about the speed." - }, - { - "start": "35:00.96", - "stop": "35:10.84", - "speaker": "Tutor", - "dialogue": "The speed is this thing that is a measure of how many miles did we go in one hour." - }, - { - "start": "35:14.44", - "stop": "35:14.48", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "35:14.68", - "stop": "35:16.64", - "speaker": "Tutor", - "dialogue": "Is an equation good observation?" - }, - { - "start": "35:17.68", - "stop": "35:20.88", - "speaker": "Tutor", - "dialogue": "So in order to find the speed, what would I need to know?" - }, - { - "start": "35:22.16", - "stop": "35:23.36", - "speaker": "Student", - "dialogue": "Doen miles and hours." - }, - { - "start": "35:24.32", - "stop": "35:29.52", - "speaker": "Tutor", - "dialogue": "So from A to B, do I have enough information to find the speed of the car from A to B?" - }, - { - "start": "35:30.96", - "stop": "35:31.00", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "35:32.12", - "stop": "35:34.36", - "speaker": "Tutor", - "dialogue": "How fast is the car going from A to B?" - }, - { - "start": "35:38.56", - "stop": "35:41.64", - "speaker": "Student", - "dialogue": "Ah, fifty miles, I mean ya." - }, - { - "start": "35:42.20", - "stop": "35:45.52", - "speaker": "Student", - "dialogue": "No, sorry, uh, yeah, fifty." - }, - { - "start": "35:46.12", - "stop": "35:46.44", - "speaker": "Tutor", - "dialogue": "Fifty." - }, - { - "start": "35:47.72", - "stop": "35:57.16", - "speaker": "Student", - "dialogue": "Uh, wouldn't it be miles?" - }, - { - "start": "35:57.96", - "stop": "35:58.40", - "speaker": "Student", - "dialogue": "but then." - }, - { - "start": "36:01.40", - "stop": "36:09.76", - "speaker": "Tutor", - "dialogue": "Speed is the relationship between miles and hours, so it's more than just miles, which is what I hear in your voice." - }, - { - "start": "36:10.00", - "stop": "36:11.80", - "speaker": "Tutor", - "dialogue": "You're saying what distance is miles?" - }, - { - "start": "36:13.88", - "stop": "36:14.20", - "speaker": "Student", - "dialogue": "Speed." - }, - { - "start": "36:14.40", - "stop": "36:17.84", - "speaker": "Tutor", - "dialogue": "Is the relationship of miles per one hour?" - }, - { - "start": "36:22.36", - "stop": "36:22.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "36:30.36", - "stop": "36:31.92", - "speaker": "Tutor", - "dialogue": "Do you know what M. P. H means?" - }, - { - "start": "36:32.60", - "stop": "36:34.80", - "speaker": "Student", - "dialogue": "Yeah, what miles per hour?" - }, - { - "start": "36:35.00", - "stop": "36:35.04", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "36:35.60", - "stop": "36:39.52", - "speaker": "Tutor", - "dialogue": "So from A to B, that's like the signs that we see on the roads or whatever." - }, - { - "start": "36:41.24", - "stop": "36:44.40", - "speaker": "Tutor", - "dialogue": "From A to B. the car is travelling fifty miles per hour." - }, - { - "start": "36:45.80", - "stop": "36:47.80", - "speaker": "Tutor", - "dialogue": "Is it travelling fifty miles per hour?" - }, - { - "start": "36:48.00", - "stop": "36:49.24", - "speaker": "Tutor", - "dialogue": "That whole section?" - }, - { - "start": "36:49.76", - "stop": "36:55.12", - "speaker": "Tutor", - "dialogue": "is it staying at a constant speed, or is the speed of the car varying from A to B?" - }, - { - "start": "36:56.24", - "stop": "36:59.76", - "speaker": "Student", - "dialogue": "It stay at a contan constant speed at." - }, - { - "start": "36:59.80", - "stop": "37:00.68", - "speaker": "Tutor", - "dialogue": "A constant speed." - }, - { - "start": "37:00.96", - "stop": "37:01.28", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "37:01.84", - "stop": "37:08.16", - "speaker": "Tutor", - "dialogue": "K, could you do the same thing and determine the speed from B to c, C to D, and so on?" - }, - { - "start": "37:09.20", - "stop": "37:09.24", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "37:09.56", - "stop": "37:10.40", - "speaker": "Tutor", - "dialogue": "All right, keep going." - }, - { - "start": "38:09.40", - "stop": "38:09.76", - "speaker": "Student", - "dialogue": "Mmhmm." - }, - { - "start": "38:59.92", - "stop": "39:00.92", - "speaker": "Tutor", - "dialogue": "What are you thinking about?" - }, - { - "start": "39:02.72", - "stop": "39:06.64", - "speaker": "Student", - "dialogue": "I'm trying to figure out Um" - }, - { - "start": "39:07.64", - "stop": "39:18.72", - "speaker": "Student", - "dialogue": "how many miles it was from C to D, but not sure." - }, - { - "start": "39:20.12", - "stop": "39:27.28", - "speaker": "Tutor", - "dialogue": "Earlier, you told me this about the section from C to D. I jus changed it to red." - }, - { - "start": "39:29.36", - "stop": "39:29.40", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "39:29.56", - "stop": "39:32.12", - "speaker": "Tutor", - "dialogue": "Still agree with that, or are you unsure about it?" - }, - { - "start": "39:49.40", - "stop": "39:50.92", - "speaker": "Student", - "dialogue": "Oh wait, yeah, I got it now" - }, - { - "start": "39:52.60", - "stop": "39:53.92", - "speaker": "Student", - "dialogue": "I was looking at the wrong thing." - }, - { - "start": "39:54.84", - "stop": "39:56.48", - "speaker": "Tutor", - "dialogue": "What were you looking at out of curio?" - }, - { - "start": "39:56.84", - "stop": "39:58.68", - "speaker": "Student", - "dialogue": "Was I was looking at?" - }, - { - "start": "39:59.28", - "stop": "40:00.08", - "speaker": "Student", - "dialogue": "Um, B, T. C." - }, - { - "start": "40:16.76", - "stop": "40:16.84", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "40:16.92", - "stop": "40:17.04", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "40:17.08", - "stop": "40:26.16", - "speaker": "Tutor", - "dialogue": "We're going to look at just those three sections, A to b, B to c, C to D, and just those three sections of the graph." - }, - { - "start": "40:26.96", - "stop": "40:29.92", - "speaker": "Tutor", - "dialogue": "I'd like you to sketch a new graph." - }, - { - "start": "40:32.72", - "stop": "40:32.76", - "speaker": "Student", - "dialogue": "With." - }, - { - "start": "40:32.96", - "stop": "40:38.40", - "speaker": "Tutor", - "dialogue": "The relationship of how fast is the car going in relationship to time?" - }, - { - "start": "40:46.92", - "stop": "40:50.44", - "speaker": "Student", - "dialogue": "So I should label the numbers on the graph toay." - }, - { - "start": "40:50.56", - "stop": "40:54.48", - "speaker": "Tutor", - "dialogue": "Yeah, 'cause labels help communicate to other people what you're thinking." - }, - { - "start": "41:11.44", - "stop": "41:13.00", - "speaker": "Student", - "dialogue": "It doesn't have to be super accurate." - }, - { - "start": "41:13.12", - "stop": "41:14.40", - "speaker": "Tutor", - "dialogue": "Right, no, it's just a sketch." - }, - { - "start": "41:20.64", - "stop": "41:20.76", - "speaker": "Student", - "dialogue": "There." - }, - { - "start": "41:20.80", - "stop": "41:24.88", - "speaker": "Tutor", - "dialogue": "Are times when we have to be super accurate and times when just a sketch works right?" - }, - { - "start": "41:59.56", - "stop": "42:03.28", - "speaker": "Student", - "dialogue": "Should I um, right?" - }, - { - "start": "42:03.72", - "stop": "42:04.52", - "speaker": "Student", - "dialogue": "Oh wait, never mind." - }, - { - "start": "42:04.76", - "stop": "42:05.16", - "speaker": "Student", - "dialogue": "Hang, Got" - }, - { - "start": "42:05.20", - "stop": "42:05.24", - "speaker": "Student", - "dialogue": "it?" - }, - { - "start": "42:07.16", - "stop": "42:08.48", - "speaker": "Tutor", - "dialogue": "Did you answer your own question?" - }, - { - "start": "42:09.44", - "stop": "42:10.00", - "speaker": "Student", - "dialogue": "Yeah, it's" - }, - { - "start": "42:10.04", - "stop": "42:15.84", - "speaker": "Tutor", - "dialogue": "Cool, whenever you have the time to think out loud, you get to sometimes answer your own wonderings." - }, - { - "start": "42:33.16", - "stop": "43:23.72", - "speaker": "Student", - "dialogue": "M, Um, even though the units are hours, I guess still eight minutes, right?" - }, - { - "start": "43:27.36", - "stop": "43:27.40", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "43:27.84", - "stop": "43:27.88", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "43:35.24", - "stop": "43:41.40", - "speaker": "Tutor", - "dialogue": "For our purposes today, because my goal is for you to just pay attention to the relationships between things that are changing." - }, - { - "start": "43:41.88", - "stop": "43:42.48", - "speaker": "Tutor", - "dialogue": "It's okay." - }, - { - "start": "43:43.36", - "stop": "43:50.32", - "speaker": "Tutor", - "dialogue": "Know that if you're in a classroom or on a test, If it says, label it in hours, they want you to label it in hours." - }, - { - "start": "43:51.12", - "stop": "43:51.28", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "43:51.56", - "stop": "43:56.48", - "speaker": "Tutor", - "dialogue": "So you can think in minutes, but you would need to label it in the units that they have there." - }, - { - "start": "43:58.68", - "stop": "43:58.92", - "speaker": "Student", - "dialogue": "Make." - }, - { - "start": "43:58.96", - "stop": "43:59.20", - "speaker": "Tutor", - "dialogue": "Sense." - }, - { - "start": "44:00.96", - "stop": "44:54.92", - "speaker": "Student", - "dialogue": "Oh, exc, Yeah, okay, I just realized Um, I would start." - }, - { - "start": "44:55.32", - "stop": "44:58.12", - "speaker": "Student", - "dialogue": "Is it okay if I would like if I'm writing any graph?" - }, - { - "start": "44:59.48", - "stop": "45:01.16", - "speaker": "Student", - "dialogue": "Is it okay if I would start from" - }, - { - "start": "45:03.04", - "stop": "45:04.84", - "speaker": "Student", - "dialogue": "Like all the way on the right of the graph?" - }, - { - "start": "45:05.12", - "stop": "45:07.40", - "speaker": "Student", - "dialogue": "or should I have to start from the axis of?" - }, - { - "start": "45:08.80", - "stop": "45:09.32", - "speaker": "Tutor", - "dialogue": "The Rigan." - }, - { - "start": "45:10.12", - "stop": "45:10.80", - "speaker": "Student", - "dialogue": "Origin, sorry." - }, - { - "start": "45:11.20", - "stop": "45:12.84", - "speaker": "Tutor", - "dialogue": "Oh, such a powerful question." - }, - { - "start": "45:12.96", - "stop": "45:13.72", - "speaker": "Tutor", - "dialogue": "that's so cool." - }, - { - "start": "45:14.52", - "stop": "45:22.80", - "speaker": "Tutor", - "dialogue": "Most graphs that you probably have seen start from the origin or go through the origin, but the reality is they don't have to." - }, - { - "start": "45:23.44", - "stop": "45:28.00", - "speaker": "Tutor", - "dialogue": "Graphs can look a lot of different ways, And the whole thing about a graph is" - }, - { - "start": "45:28.08", - "stop": "45:31.72", - "speaker": "Tutor", - "dialogue": "it's showing the relationship between two things and how they're changing." - }, - { - "start": "45:32.04", - "stop": "45:35.76", - "speaker": "Tutor", - "dialogue": "And what I hear you saying is this relationship doesn't start at zero." - }, - { - "start": "45:36.68", - "stop": "45:40.00", - "speaker": "Tutor", - "dialogue": "It starts somewhere else and absolutely" - }, - { - "start": "45:40.24", - "stop": "45:43.32", - "speaker": "Tutor", - "dialogue": "you're allowed to create a graph that doesn't start at the origin." - }, - { - "start": "45:49.64", - "stop": "45:54.16", - "speaker": "Student", - "dialogue": "And I would be using the note, Um, to hope graph, right?" - }, - { - "start": "45:54.44", - "stop": "45:56.48", - "speaker": "Tutor", - "dialogue": "Correct, yeah, 'cause it's all the same situation." - }, - { - "start": "45:56.88", - "stop": "46:01.48", - "speaker": "Tutor", - "dialogue": "Those notes were just a way of keeping track of your thinking throughout the problem." - }, - { - "start": "46:17.40", - "stop": "46:29.84", - "speaker": "Student", - "dialogue": "Right, Mmm, okay." - }, - { - "start": "46:42.60", - "stop": "46:43.60", - "speaker": "Tutor", - "dialogue": "What point is this?" - }, - { - "start": "46:46.32", - "stop": "46:53.48", - "speaker": "Student", - "dialogue": "That's point A to B. Ah." - }, - { - "start": "46:54.24", - "stop": "46:55.84", - "speaker": "Tutor", - "dialogue": "I said What point is it?" - }, - { - "start": "46:56.16", - "stop": "46:57.84", - "speaker": "Tutor", - "dialogue": "and you told me a line segment?" - }, - { - "start": "46:58.48", - "stop": "47:01.48", - "speaker": "Tutor", - "dialogue": "Oh, so, is this point A, or is it point B?" - }, - { - "start": "47:16.44", - "stop": "47:23.92", - "speaker": "Student", - "dialogue": "Mm, Well, it can't be point A, because point A starts at zero, so." - }, - { - "start": "47:25.24", - "stop": "47:27.36", - "speaker": "Tutor", - "dialogue": "So point A is where would point A, B?" - }, - { - "start": "47:28.64", - "stop": "47:28.68", - "speaker": "Student", - "dialogue": "N." - }, - { - "start": "47:31.64", - "stop": "47:37.00", - "speaker": "Tutor", - "dialogue": "Point A is zero minutes and zero miles an hour." - }, - { - "start": "47:38.40", - "stop": "47:38.44", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "47:38.68", - "stop": "47:40.44", - "speaker": "Tutor", - "dialogue": "We said from A to B." - }, - { - "start": "47:42.68", - "stop": "47:42.72", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "47:42.80", - "stop": "47:53.48", - "speaker": "Tutor", - "dialogue": "Car was traveling fifty miles an hour because it was constant from that entire section of the trip, so we're pretending like the car was already driving when it hit Providence." - }, - { - "start": "47:54.60", - "stop": "47:54.64", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "47:54.76", - "stop": "48:01.64", - "speaker": "Tutor", - "dialogue": "Was going fifty miles an hour all the way from A to B? So ten minutes into the trip?" - }, - { - "start": "48:01.92", - "stop": "48:04.64", - "speaker": "Tutor", - "dialogue": "How fast was it going twenty minutes into the trip?" - }, - { - "start": "48:04.76", - "stop": "48:07.32", - "speaker": "Tutor", - "dialogue": "How fast was it going An hour into the trip?" - }, - { - "start": "48:07.48", - "stop": "48:09.68", - "speaker": "Tutor", - "dialogue": "How fast was it going all the way from A?" - }, - { - "start": "48:09.88", - "stop": "48:10.16", - "speaker": "Tutor", - "dialogue": "Toby?" - }, - { - "start": "48:11.52", - "stop": "48:15.00", - "speaker": "Student", - "dialogue": "So it would be correct if I sant." - }, - { - "start": "48:15.04", - "stop": "48:20.08", - "speaker": "Student", - "dialogue": "That was a where this point right here." - }, - { - "start": "48:21.04", - "stop": "48:25.56", - "speaker": "Tutor", - "dialogue": "What you plotted here was sixty minutes into the trip." - }, - { - "start": "48:26.44", - "stop": "48:28.60", - "speaker": "Tutor", - "dialogue": "The car is going fifty miles an hour." - }, - { - "start": "48:37.80", - "stop": "48:38.40", - "speaker": "Student", - "dialogue": "Sox." - }, - { - "start": "48:38.64", - "stop": "48:41.96", - "speaker": "Tutor", - "dialogue": "Are we sixty miles or sixty minutes into the trip right here?" - }, - { - "start": "48:42.92", - "stop": "48:46.28", - "speaker": "Student", - "dialogue": "No, Mm, Mm, Okay, so point A." - }, - { - "start": "48:51.72", - "stop": "48:57.96", - "speaker": "Tutor", - "dialogue": "Point A is the point that says at the start of the trip we're going fifty miles an hour." - }, - { - "start": "49:11.56", - "stop": "49:15.04", - "speaker": "Student", - "dialogue": "So point A would be right here that." - }, - { - "start": "49:15.24", - "stop": "49:15.72", - "speaker": "Tutor", - "dialogue": "Makes sense." - }, - { - "start": "49:23.80", - "stop": "49:23.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "49:24.16", - "stop": "49:24.88", - "speaker": "Tutor", - "dialogue": "This is point A." - }, - { - "start": "49:32.92", - "stop": "49:32.96", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "49:33.16", - "stop": "49:33.96", - "speaker": "Tutor", - "dialogue": "Point is this one." - }, - { - "start": "49:35.08", - "stop": "49:35.48", - "speaker": "Student", - "dialogue": "Point B." - }, - { - "start": "49:37.08", - "stop": "49:39.04", - "speaker": "Tutor", - "dialogue": "And where is A to B?" - }, - { - "start": "49:48.60", - "stop": "49:48.64", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "49:58.68", - "stop": "49:58.80", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "49:58.92", - "stop": "49:59.16", - "speaker": "Student", - "dialogue": "Fast." - }, - { - "start": "49:59.24", - "stop": "50:00.40", - "speaker": "Tutor", - "dialogue": "Are we going from A to B?" - }, - { - "start": "50:01.16", - "stop": "50:03.96", - "speaker": "Student", - "dialogue": "Oh, ah, fifteen miles per hour." - }, - { - "start": "50:04.36", - "stop": "50:09.96", - "speaker": "Tutor", - "dialogue": "And you told me the speed was constant, so that means we're going fifty miles per hour this entire time." - }, - { - "start": "50:11.44", - "stop": "50:16.12", - "speaker": "Tutor", - "dialogue": "How can you show going fifty miles an hour the entire time on your graph from A to B?" - }, - { - "start": "50:23.88", - "stop": "50:23.92", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "50:24.12", - "stop": "50:24.36", - "speaker": "Tutor", - "dialogue": "Trw." - }, - { - "start": "50:25.96", - "stop": "50:26.04", - "speaker": "Student", - "dialogue": "Gra." - }, - { - "start": "50:26.80", - "stop": "50:26.84", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "50:28.16", - "stop": "50:28.28", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "50:29.00", - "stop": "50:30.76", - "speaker": "Tutor", - "dialogue": "They can, might." - }, - { - "start": "50:30.92", - "stop": "50:33.04", - "speaker": "Tutor", - "dialogue": "things may not be something you've seen before." - }, - { - "start": "50:33.16", - "stop": "50:34.60", - "speaker": "Tutor", - "dialogue": "Yeah, so you just created." - }, - { - "start": "50:34.68", - "stop": "50:34.72", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "50:36.92", - "stop": "50:43.40", - "speaker": "Tutor", - "dialogue": "And I so wish we could keep going, because you're an amazing math thinker and I love working with you, but we're at a time." - }, - { - "start": "50:44.92", - "stop": "50:45.20", - "speaker": "Student", - "dialogue": "However." - }, - { - "start": "50:45.28", - "stop": "50:48.28", - "speaker": "Tutor", - "dialogue": "I want to ask you a couple final things about your experience." - }, - { - "start": "50:49.60", - "stop": "50:49.76", - "speaker": "Tutor", - "dialogue": "One." - }, - { - "start": "50:50.64", - "stop": "50:54.76", - "speaker": "Tutor", - "dialogue": "what is something you feel like you learned or are thinking differently about now?" - }, - { - "start": "50:58.04", - "stop": "51:02.44", - "speaker": "Student", - "dialogue": "Comparing real world situations to math." - }, - { - "start": "51:03.68", - "stop": "51:05.04", - "speaker": "Tutor", - "dialogue": "Yeah, math is all around us." - }, - { - "start": "51:05.56", - "stop": "51:09.60", - "speaker": "Tutor", - "dialogue": "Sometimes in school we don't do as good of a job as we could to help" - }, - { - "start": "51:09.80", - "stop": "51:39.04", - "speaker": "Tutor", - "dialogue": "kids see the connection from real life situations to the math looking stuff, so always challenge yourself to try to make sense of what is the connection that'll help you grow as a deeper thinker, and as you're looking at graphs, remember they always represent something in the real world that is changing, something else in the real world that is changing and it's either increasing, decreasing or staying the same." - }, - { - "start": "51:39.76", - "stop": "51:45.56", - "speaker": "Tutor", - "dialogue": "And then the stuff in the middle is telling you how these two things are changing in relationship to each other." - }, - { - "start": "51:46.92", - "stop": "51:47.04", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "51:47.16", - "stop": "51:59.24", - "speaker": "Tutor", - "dialogue": "Matter what the graph looks like, if it's like this or it's like this, or it's like this, It's still describing something that's changing in relationship to something else that's changing." - }, - { - "start": "52:01.04", - "stop": "52:01.16", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "52:01.24", - "stop": "52:01.84", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "52:02.76", - "stop": "52:02.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "52:04.48", - "stop": "52:14.80", - "speaker": "Tutor", - "dialogue": "And then also what was helpful for you, cause you know you're helping us test this out to see what it's like for students, so learning in this way or using this platform?" - }, - { - "start": "52:15.36", - "stop": "52:20.32", - "speaker": "Tutor", - "dialogue": "what was helpful or what are some things we could consider changing to make it better?" - }, - { - "start": "52:22.84", - "stop": "52:36.28", - "speaker": "Student", - "dialogue": "Uh, something that was helpful was the fact that I was able to interact with it more, and actually like write down the things that I was Um, gathering throughout the math problem." - }, - { - "start": "52:36.84", - "stop": "52:42.12", - "speaker": "Tutor", - "dialogue": "So there's a lot of different ways for you to keep track of your thinking and your workhm." - }, - { - "start": "52:42.80", - "stop": "52:42.84", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "52:42.92", - "stop": "52:45.92", - "speaker": "Tutor", - "dialogue": "There anything that would be helpful for us to change or do differently?" - }, - { - "start": "52:48.88", - "stop": "52:52.48", - "speaker": "Student", - "dialogue": "A, I don't think so." - }, - { - "start": "52:54.76", - "stop": "52:55.08", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "52:55.52", - "stop": "53:00.64", - "speaker": "Tutor", - "dialogue": "well, thank you, you are a very deep and powerful mathematical thinker." - }, - { - "start": "53:01.36", - "stop": "53:04.24", - "speaker": "Tutor", - "dialogue": "Always remember that and keep doing it okay." - }, - { - "start": "53:04.88", - "stop": "53:05.04", - "speaker": "Student", - "dialogue": "Ok" - }, - { - "start": "53:05.40", - "stop": "53:05.48", - "speaker": "Student", - "dialogue": "all." - }, - { - "start": "53:05.60", - "stop": "53:06.44", - "speaker": "Tutor", - "dialogue": "Right, you have a good day." - }, - { - "start": "53:06.56", - "stop": "53:07.40", - "speaker": "Tutor", - "dialogue": "Thank you for helping us." - } -] \ No newline at end of file diff --git a/data/amber/7182022RC.json b/data/amber/7182022RC.json deleted file mode 100644 index 93ca0c7..0000000 --- a/data/amber/7182022RC.json +++ /dev/null @@ -1,4244 +0,0 @@ -[ - { - "start": "00:00.96", - "stop": "00:05.76", - "speaker": "Tutor", - "dialogue": "Okay, so first thing, we're going to make sure all the tech and everything's working from your end." - }, - { - "start": "00:06.12", - "stop": "00:07.12", - "speaker": "Tutor", - "dialogue": "I can see your end." - }, - { - "start": "00:07.40", - "stop": "00:08.44", - "speaker": "Tutor", - "dialogue": "Can you see mine moving?" - }, - { - "start": "00:09.24", - "stop": "00:09.96", - "speaker": "Student", - "dialogue": "Yeah, I can see you." - }, - { - "start": "00:10.40", - "stop": "00:13.16", - "speaker": "Tutor", - "dialogue": "All right, if you have a chat box open, you can close it." - }, - { - "start": "00:13.60", - "stop": "00:16.08", - "speaker": "Tutor", - "dialogue": "That'll make your screen a little bit bigger, so you have more work space." - }, - { - "start": "00:16.88", - "stop": "00:17.20", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "00:18.16", - "stop": "00:21.12", - "speaker": "Tutor", - "dialogue": "And then all the tools are on the left hand side of your screen." - }, - { - "start": "00:22.88", - "stop": "00:22.92", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "00:23.16", - "stop": "00:27.68", - "speaker": "Tutor", - "dialogue": "Pencil tool, when you clian up, the size and color pops up" - }, - { - "start": "00:27.72", - "stop": "00:31.08", - "speaker": "Tutor", - "dialogue": "if you want to change those, And then there's also a text box." - }, - { - "start": "00:31.20", - "stop": "00:45.40", - "speaker": "Tutor", - "dialogue": "If you'd rather type, and you can change the color of those as well, And then what we're going to practice doing is um, erasing, Because if you hit the trash cam button, it will erase all of your work and then there's no way to get it back, so you don't want to do that onek." - }, - { - "start": "00:45.96", - "stop": "00:46.00", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "00:46.20", - "stop": "00:47.28", - "speaker": "Tutor", - "dialogue": "Erase, you already drew something." - }, - { - "start": "00:47.32", - "stop": "00:48.88", - "speaker": "Tutor", - "dialogue": "So it was practice erased and sent me Drew." - }, - { - "start": "00:50.12", - "stop": "00:51.60", - "speaker": "Tutor", - "dialogue": "That one cleared everything." - }, - { - "start": "00:51.80", - "stop": "00:52.84", - "speaker": "Tutor", - "dialogue": "That's what we don't want to do." - }, - { - "start": "00:53.28", - "stop": "00:54.00", - "speaker": "Student", - "dialogue": "I don't want me to do." - }, - { - "start": "00:54.16", - "stop": "00:54.56", - "speaker": "Student", - "dialogue": "I, Sr." - }, - { - "start": "00:54.72", - "stop": "00:55.44", - "speaker": "Tutor", - "dialogue": "No, that's okay." - }, - { - "start": "00:55.64", - "stop": "00:56.84", - "speaker": "Tutor", - "dialogue": "That is why we're practicing it." - }, - { - "start": "00:57.28", - "stop": "01:01.92", - "speaker": "Tutor", - "dialogue": "So if you only want to erase one thing, use the top arrow." - }, - { - "start": "01:02.84", - "stop": "01:05.56", - "speaker": "Tutor", - "dialogue": "That's your selectol, uhhuh, and that will select." - }, - { - "start": "01:05.72", - "stop": "01:07.60", - "speaker": "Tutor", - "dialogue": "if you want to move things around or resize it." - }, - { - "start": "01:08.00", - "stop": "01:14.44", - "speaker": "Tutor", - "dialogue": "And once it's selected, then you hit the arrow with an x in it, and it will erase just what's selected." - }, - { - "start": "01:16.04", - "stop": "01:16.20", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "01:16.96", - "stop": "01:18.60", - "speaker": "Tutor", - "dialogue": "Cool, right." - }, - { - "start": "01:18.68", - "stop": "01:19.76", - "speaker": "Tutor", - "dialogue": "Any questions on the tools?" - }, - { - "start": "01:20.32", - "stop": "01:20.44", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "01:20.88", - "stop": "01:22.44", - "speaker": "Tutor", - "dialogue": "Okay, I'm going to change the screen." - }, - { - "start": "01:22.56", - "stop": "01:22.68", - "speaker": "Tutor", - "dialogue": "then." - }, - { - "start": "01:25.44", - "stop": "01:26.64", - "speaker": "Tutor", - "dialogue": "Oh, wait before I do that." - }, - { - "start": "01:26.76", - "stop": "01:27.84", - "speaker": "Tutor", - "dialogue": "Forgot to tell you one more thing." - }, - { - "start": "01:27.96", - "stop": "01:28.16", - "speaker": "Tutor", - "dialogue": "ha, ha." - }, - { - "start": "01:29.00", - "stop": "01:31.68", - "speaker": "Tutor", - "dialogue": "um, I will be asking you lots of questions." - }, - { - "start": "01:32.44", - "stop": "01:35.40", - "speaker": "Tutor", - "dialogue": "and when I do it doesn't necessarily mean you have something wrong." - }, - { - "start": "01:35.48", - "stop": "01:37.48", - "speaker": "Tutor", - "dialogue": "It just means I want to know more about your thinking." - }, - { - "start": "01:38.04", - "stop": "01:42.92", - "speaker": "Tutor", - "dialogue": "So okay as you're processing stuff, you know how you talk to yourself in your head whenever you're thinking." - }, - { - "start": "01:43.56", - "stop": "01:57.96", - "speaker": "Tutor", - "dialogue": "Yeah, the more you can do that out loud, the better helps me go the end where you are and then also, if you need time to think and not be interrupted, just verbalize that because I'm not sure I give me some time to think about this sound good." - }, - { - "start": "01:58.56", - "stop": "01:58.92", - "speaker": "Student", - "dialogue": "Uhhuh." - }, - { - "start": "01:59.36", - "stop": "02:00.92", - "speaker": "Tutor", - "dialogue": "Okay, now, I'm going to change a screen." - }, - { - "start": "02:01.48", - "stop": "02:02.88", - "speaker": "Tutor", - "dialogue": "Do you see something different on the screen?" - }, - { - "start": "02:02.96", - "stop": "02:03.12", - "speaker": "Tutor", - "dialogue": "Now?" - }, - { - "start": "02:03.56", - "stop": "02:05.08", - "speaker": "Tutor", - "dialogue": "Y all right, So read it." - }, - { - "start": "02:05.24", - "stop": "02:09.20", - "speaker": "Tutor", - "dialogue": "Look it over, and then describe what you think is happening in this situation." - }, - { - "start": "02:11.28", - "stop": "02:12.72", - "speaker": "Student", - "dialogue": "Ah, sh, shall I read Alloud or?" - }, - { - "start": "02:13.56", - "stop": "02:14.44", - "speaker": "Tutor", - "dialogue": "Whatever works for you." - }, - { - "start": "02:14.96", - "stop": "02:15.36", - "speaker": "Student", - "dialogue": "Allright." - }, - { - "start": "02:27.12", - "stop": "02:27.24", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "02:27.68", - "stop": "02:27.72", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "02:29.80", - "stop": "02:30.00", - "speaker": "Tutor", - "dialogue": "There's" - }, - { - "start": "02:30.08", - "stop": "02:30.12", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "02:30.24", - "stop": "02:30.44", - "speaker": "Tutor", - "dialogue": "Road." - }, - { - "start": "02:30.52", - "stop": "02:35.04", - "speaker": "Student", - "dialogue": "That's going from Providence through New York to New New York." - }, - { - "start": "02:36.80", - "stop": "02:36.84", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "02:36.96", - "stop": "02:37.56", - "speaker": "Student", - "dialogue": "New Jersey." - }, - { - "start": "02:39.84", - "stop": "02:41.28", - "speaker": "Tutor", - "dialogue": "And we're going to take a trip on it." - }, - { - "start": "02:42.84", - "stop": "02:43.96", - "speaker": "Tutor", - "dialogue": "Where are we going to start?" - }, - { - "start": "02:44.84", - "stop": "02:45.92", - "speaker": "Student", - "dialogue": "From Providence." - }, - { - "start": "02:46.40", - "stop": "02:47.72", - "speaker": "Tutor", - "dialogue": "Cool, Whe are we going to here?" - }, - { - "start": "02:49.52", - "stop": "02:51.32", - "speaker": "Student", - "dialogue": "Ah, we're going to new work over here." - }, - { - "start": "02:51.80", - "stop": "02:56.04", - "speaker": "Tutor", - "dialogue": "Cool, what are some things that we might measure in this situation?" - }, - { - "start": "02:57.40", - "stop": "02:58.60", - "speaker": "Student", - "dialogue": "Ah, the distance." - }, - { - "start": "03:01.12", - "stop": "03:04.72", - "speaker": "Tutor", - "dialogue": "What unit would we use if we were thinking about keeping track of the distance?" - }, - { - "start": "03:05.32", - "stop": "03:05.88", - "speaker": "Student", - "dialogue": "The miles." - }, - { - "start": "03:07.32", - "stop": "03:09.64", - "speaker": "Tutor", - "dialogue": "Ok, are there other things that we can in this?" - }, - { - "start": "03:11.68", - "stop": "03:21.28", - "speaker": "Student", - "dialogue": "Other things, Um, the distance from Providence to New York City or from New York City to New York, Okay?" - }, - { - "start": "03:21.64", - "stop": "03:25.08", - "speaker": "Tutor", - "dialogue": "So we could measure some distances at different points along the journey." - }, - { - "start": "03:27.32", - "stop": "03:27.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "03:27.72", - "stop": "03:33.92", - "speaker": "Tutor", - "dialogue": "Different stops or different things that we go through, Mhm, other things that we might be able to measure." - }, - { - "start": "03:36.00", - "stop": "03:45.16", - "speaker": "Student", - "dialogue": "Uh, the sizes of the different areas, like the circle in Providence or the circle in New York City." - }, - { - "start": "03:45.48", - "stop": "03:47.20", - "speaker": "Student", - "dialogue": "that's like colored in." - }, - { - "start": "03:47.84", - "stop": "03:56.28", - "speaker": "Tutor", - "dialogue": "Cool, so we could find like that the square footage or square acreage of each of the cities anything else we could think about measuring." - }, - { - "start": "03:59.48", - "stop": "03:59.68", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "04:00.00", - "stop": "04:00.04", - "speaker": "Tutor", - "dialogue": "Not." - }, - { - "start": "04:00.20", - "stop": "04:00.96", - "speaker": "Student", - "dialogue": "That I can think of." - }, - { - "start": "04:01.56", - "stop": "04:02.32", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "04:02.68", - "stop": "04:07.00", - "speaker": "Tutor", - "dialogue": "I'm going to uncover something and tell me how it's similar or different to what you were thinking about." - }, - { - "start": "04:11.36", - "stop": "04:25.16", - "speaker": "Student", - "dialogue": "Oh, A, I was really thinking about the time it would take to get to Newark, just like the distance of miles, So it shows like, Um, the miles for hours, like ratio." - }, - { - "start": "04:26.52", - "stop": "04:34.16", - "speaker": "Tutor", - "dialogue": "Ah, so we could keep track of the miles or the distance in the situation, and also the time it takes to travel in time or hours." - }, - { - "start": "04:35.56", - "stop": "04:35.72", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "04:35.76", - "stop": "04:37.04", - "speaker": "Tutor", - "dialogue": "You said something about the ratio." - }, - { - "start": "04:37.60", - "stop": "04:38.88", - "speaker": "Tutor", - "dialogue": "Where do you see the ratio?" - }, - { - "start": "04:38.96", - "stop": "04:39.84", - "speaker": "Tutor", - "dialogue": "And what does that mean?" - }, - { - "start": "04:41.48", - "stop": "05:08.32", - "speaker": "Student", - "dialogue": "Um, at every like point like a, B, C, D, E, n F. So at at b, Um, you line it up with the X Xs and Y Xis, ensures that you go fifty miles every hour for from A to B, and in one and a half hours you went fifty miles as well, so you didn't go anywhere, and then from one and a half hours" - }, - { - "start": "05:08.40", - "stop": "05:17.04", - "speaker": "Student", - "dialogue": "to two and a half hours, you went fifty miles and then from two and a half hours to three and a half hours." - }, - { - "start": "05:17.84", - "stop": "05:23.16", - "speaker": "Student", - "dialogue": "the distance you went was like, um, not linear." - }, - { - "start": "05:25.04", - "stop": "05:25.08", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "05:25.24", - "stop": "05:32.72", - "speaker": "Student", - "dialogue": "Was just like R, Um, a bit random, so you might took like stops along the way and from a F." - }, - { - "start": "05:34.56", - "stop": "05:34.60", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "05:34.80", - "stop": "05:40.68", - "speaker": "Student", - "dialogue": "Was about like half an hour and it was about like." - }, - { - "start": "05:43.32", - "stop": "05:43.56", - "speaker": "Tutor", - "dialogue": "Twenty." - }, - { - "start": "05:43.68", - "stop": "05:43.96", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "05:45.12", - "stop": "05:49.44", - "speaker": "Tutor", - "dialogue": "Okay, so you said D to F is not linear?" - }, - { - "start": "05:49.80", - "stop": "05:55.60", - "speaker": "Tutor", - "dialogue": "Does that mean all of the other sections of the journey are linear, or are some of them not linear also?" - }, - { - "start": "05:59.84", - "stop": "06:07.40", - "speaker": "Student", - "dialogue": "Well, from like a D, it's not linear, but from like a B, b to C and C to D, wait." - }, - { - "start": "06:11.40", - "stop": "06:11.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "06:12.84", - "stop": "06:12.92", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "06:13.00", - "stop": "06:13.16", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "06:13.24", - "stop": "06:44.80", - "speaker": "Student", - "dialogue": "A to from A to B, it's like straight, so like the that, the the time and miles are going is like consistent, so every half a mile would be twenty five miles, and from B you're constantly, you're consistently go a zero miles per hour, and from C to D, you're consistently going Um, about thirty miles every thirty minutes, not yet or." - }, - { - "start": "06:46.76", - "stop": "06:46.96", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "06:51.32", - "stop": "06:51.36", - "speaker": "Student", - "dialogue": "Or?" - }, - { - "start": "06:51.60", - "stop": "06:51.88", - "speaker": "Tutor", - "dialogue": "Twenty." - }, - { - "start": "06:51.92", - "stop": "06:52.92", - "speaker": "Student", - "dialogue": "Five miles, I guess." - }, - { - "start": "06:55.20", - "stop": "07:02.52", - "speaker": "Tutor", - "dialogue": "Okay, so now you started talking about something called speed and I don't see speed on the graph." - }, - { - "start": "07:02.80", - "stop": "07:05.20", - "speaker": "Tutor", - "dialogue": "Help me understand how you see speed here." - }, - { - "start": "07:07.80", - "stop": "07:15.12", - "speaker": "Student", - "dialogue": "Uh, speed is, I guess the correlation between the time and the distance that you travel." - }, - { - "start": "07:15.48", - "stop": "07:31.48", - "speaker": "Student", - "dialogue": "So Um, if you travel for a certain amount of time like an hour, and you consistently travel at a certain distance such as one hour and fifty miles, it could show the speed based on the correlation between the two." - }, - { - "start": "07:32.00", - "stop": "07:37.24", - "speaker": "Tutor", - "dialogue": "Ah, so speed is this thing that's a relationship between miles and hours?" - }, - { - "start": "07:38.16", - "stop": "07:38.20", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "07:39.08", - "stop": "07:44.28", - "speaker": "Tutor", - "dialogue": "And you described linear, what is linear, and what is not linear" - }, - { - "start": "07:44.56", - "stop": "07:46.36", - "speaker": "Tutor", - "dialogue": "If we're thinking about this situation." - }, - { - "start": "07:46.56", - "stop": "07:49.76", - "speaker": "Tutor", - "dialogue": "So there's miles, there's hours, and you've started talking about speed." - }, - { - "start": "07:50.08", - "stop": "07:53.00", - "speaker": "Tutor", - "dialogue": "Also, what does it mean for those things to be?" - }, - { - "start": "07:53.60", - "stop": "07:55.56", - "speaker": "Tutor", - "dialogue": "have a linear relationship or not?" - }, - { - "start": "07:57.92", - "stop": "08:02.28", - "speaker": "Student", - "dialogue": "Honestly, I like, just forgot what linear means at all." - }, - { - "start": "08:02.36", - "stop": "08:04.88", - "speaker": "Student", - "dialogue": "I just knew that it was like somewhat." - }, - { - "start": "08:06.92", - "stop": "08:07.36", - "speaker": "Tutor", - "dialogue": "Included." - }, - { - "start": "08:07.40", - "stop": "08:08.76", - "speaker": "Student", - "dialogue": "In the Grauph, Ah." - }, - { - "start": "08:08.88", - "stop": "08:09.60", - "speaker": "Tutor", - "dialogue": "That's really cool." - }, - { - "start": "08:09.92", - "stop": "08:15.28", - "speaker": "Tutor", - "dialogue": "Think so you know linear has something to do with graphs that have lines." - }, - { - "start": "08:16.40", - "stop": "08:17.20", - "speaker": "Student", - "dialogue": "Yeah, uhhuh." - }, - { - "start": "08:17.36", - "stop": "08:20.00", - "speaker": "Tutor", - "dialogue": "That's cool, and then this was a bumpy line." - }, - { - "start": "08:20.08", - "stop": "08:24.16", - "speaker": "Tutor", - "dialogue": "so your brain said It's not linear, but I'm not exactly sure that I know what linear means." - }, - { - "start": "08:24.24", - "stop": "08:25.16", - "speaker": "Tutor", - "dialogue": "Besides it's a line." - }, - { - "start": "08:26.28", - "stop": "08:27.84", - "speaker": "Student", - "dialogue": "Yeah, is that right like that?" - }, - { - "start": "08:28.28", - "stop": "08:29.24", - "speaker": "Tutor", - "dialogue": "Yeah, okay, that's cool." - }, - { - "start": "08:29.28", - "stop": "08:37.04", - "speaker": "Tutor", - "dialogue": "and if I summarize your thinking incorrectly, correct me because your thinking is important. So if I'm misunderstanding something, make sure that you correct me on it." - }, - { - "start": "08:37.16", - "stop": "08:37.40", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "08:37.84", - "stop": "08:41.00", - "speaker": "Tutor", - "dialogue": "okay, all right, so well, explore that a little bit more." - }, - { - "start": "08:41.12", - "stop": "08:46.04", - "speaker": "Tutor", - "dialogue": "What does it mean for something to have a linear relationship or not a linear relationship?" - }, - { - "start": "08:46.40", - "stop": "08:53.48", - "speaker": "Tutor", - "dialogue": "And how does that relate to this situation where we're dealing with distance time, and possibly speed?" - }, - { - "start": "08:55.28", - "stop": "09:08.44", - "speaker": "Tutor", - "dialogue": "So now you have a map and you have a graph, Describe each stage of the journey and what's happening in each stage of the journey using the map and the graph." - }, - { - "start": "09:10.64", - "stop": "09:10.68", - "speaker": "Student", - "dialogue": "U." - }, - { - "start": "09:13.00", - "stop": "09:13.04", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "09:13.28", - "stop": "09:20.40", - "speaker": "Student", - "dialogue": "From Providence, I'm assuming it would be point A, and new yark, it would be point." - }, - { - "start": "09:21.88", - "stop": "09:21.92", - "speaker": "Tutor", - "dialogue": "C." - }, - { - "start": "09:23.04", - "stop": "10:10.60", - "speaker": "Student", - "dialogue": "Since there's one stop in between, which wouldn't really make sense, the I, I'm goning to change it that New York is point F, because from point B to C, you travel no distance, so I'm assuming there are other stops along the way, which included B, C, D and E, and the distance they traveled or the amount of time they traveled was corresponding to my dis the distance, so in so one hour they traveled fifty miles and stopped at a point B, and then stayed at point B for thirty minutes before Um, traveling again for an hour, and then traveling another fifty minutes and then going from D to E. they." - }, - { - "start": "10:13.28", - "stop": "10:13.44", - "speaker": "Tutor", - "dialogue": "Went." - }, - { - "start": "10:13.56", - "stop": "10:22.36", - "speaker": "Student", - "dialogue": "About thirty miles in an hour, and then from point E to F, they went about twenty miles in half an hour." - }, - { - "start": "10:23.72", - "stop": "10:28.24", - "speaker": "Tutor", - "dialogue": "Cool, and you did an excellent job of thinking out loud live in action" - }, - { - "start": "10:28.52", - "stop": "10:30.48", - "speaker": "Tutor", - "dialogue": "like I think Point C is at Newark." - }, - { - "start": "10:30.56", - "stop": "10:31.72", - "speaker": "Tutor", - "dialogue": "Wait, That doesn't make sense." - }, - { - "start": "10:31.84", - "stop": "10:33.44", - "speaker": "Tutor", - "dialogue": "It's going to be F. That's awesome." - }, - { - "start": "10:33.52", - "stop": "10:34.48", - "speaker": "Tutor", - "dialogue": "Keep doing that okay." - }, - { - "start": "10:35.76", - "stop": "10:35.88", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "10:35.96", - "stop": "10:55.60", - "speaker": "Tutor", - "dialogue": "Right, so you've talked about a lot of points and a lot of things that are happening in those points in regards to how much miles are increasing or decreasing or staying the same, and how much hours are increasing or decreasing or staying the same in each of those segments, so let's start to put some labels on the map to keep track of those things." - }, - { - "start": "10:57.56", - "stop": "10:57.60", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "10:57.76", - "stop": "10:59.88", - "speaker": "Tutor", - "dialogue": "Can label in ways that make sense for you." - }, - { - "start": "11:01.72", - "stop": "11:16.24", - "speaker": "Student", - "dialogue": "A, so from point eight F. it would be one hundred fifty miles, so I'm just goinga say this whole thing is about uh, one hundred fifty miles." - }, - { - "start": "11:16.80", - "stop": "11:52.00", - "speaker": "Student", - "dialogue": "And then I'm just gonna point like a place like aproximate points, so since fifty miles it's about is one third of one fifty, I'm gonna put like a point about one third of the way and call that point B, and also points C. I guess, And then, since they travel there an hour, I'm gonna uh say that this is one hour, and also uh, fifty miles." - }, - { - "start": "11:55.92", - "stop": "11:55.96", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "11:56.16", - "stop": "11:56.36", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "12:00.24", - "stop": "12:00.28", - "speaker": "Tutor", - "dialogue": "Uh?" - }, - { - "start": "12:01.52", - "stop": "12:17.52", - "speaker": "Student", - "dialogue": "From point D to Ca, ands change, since they went no distance, and then from point C to D. it's another fifty miles, so I'm gonna find another point about another third of the way and then say that that was also one hour." - }, - { - "start": "12:17.64", - "stop": "12:18.56", - "speaker": "Student", - "dialogue": "Oh wait, never mind." - }, - { - "start": "12:18.68", - "stop": "12:19.44", - "speaker": "Student", - "dialogue": "I'd to change." - }, - { - "start": "12:20.32", - "stop": "12:27.84", - "speaker": "Student", - "dialogue": "I'd to put like a section from point B to c, showing that it's half an hour and no miles." - }, - { - "start": "12:28.84", - "stop": "12:28.88", - "speaker": "Student", - "dialogue": "what." - }, - { - "start": "12:29.16", - "stop": "12:30.20", - "speaker": "Student", - "dialogue": "It's the same point so." - }, - { - "start": "12:36.80", - "stop": "12:37.04", - "speaker": "Tutor", - "dialogue": "Sorry." - }, - { - "start": "12:37.12", - "stop": "12:37.16", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "12:37.32", - "stop": "12:37.68", - "speaker": "Tutor", - "dialogue": "Forgot." - }, - { - "start": "12:37.72", - "stop": "12:37.76", - "speaker": "Student", - "dialogue": "My." - }, - { - "start": "12:37.92", - "stop": "12:38.20", - "speaker": "Tutor", - "dialogue": "Mouse." - }, - { - "start": "12:38.32", - "stop": "12:41.64", - "speaker": "Student", - "dialogue": "So I've to wrte on my touchbdcause." - }, - { - "start": "12:41.68", - "stop": "12:46.20", - "speaker": "Tutor", - "dialogue": "This is just a way for you to organize your thinking and work because we're going to come back to this, so oh." - }, - { - "start": "12:46.96", - "stop": "12:47.16", - "speaker": "Student", - "dialogue": "Half" - }, - { - "start": "12:47.24", - "stop": "12:47.44", - "speaker": "Student", - "dialogue": "hour." - }, - { - "start": "12:47.72", - "stop": "12:49.20", - "speaker": "Tutor", - "dialogue": "As long as you can read it, we're good." - }, - { - "start": "12:50.20", - "stop": "12:58.04", - "speaker": "Student", - "dialogue": "Zero miles, and then this is one, one hour and another fifty miles." - }, - { - "start": "13:02.96", - "stop": "13:03.00", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "13:03.20", - "stop": "13:05.68", - "speaker": "Student", - "dialogue": "Then point E would be." - }, - { - "start": "13:05.88", - "stop": "13:08.72", - "speaker": "Student", - "dialogue": "Oh, wait, I, a shoully live with point D as well, and A." - }, - { - "start": "13:12.32", - "stop": "13:12.36", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "13:12.56", - "stop": "13:27.88", - "speaker": "Student", - "dialogue": "Then from to point e, it's about like three fifths of the way south with something over here, and then I'll ride thirty miles and an hour." - }, - { - "start": "13:30.68", - "stop": "13:30.88", - "speaker": "Tutor", - "dialogue": "Wait." - }, - { - "start": "13:30.96", - "stop": "13:33.36", - "speaker": "Student", - "dialogue": "What was the abbreviation for one hour again?" - }, - { - "start": "13:34.28", - "stop": "13:36.60", - "speaker": "Tutor", - "dialogue": "You do H, r, okay?" - }, - { - "start": "13:37.00", - "stop": "13:37.40", - "speaker": "Student", - "dialogue": "One hour." - }, - { - "start": "13:44.36", - "stop": "13:44.52", - "speaker": "Tutor", - "dialogue": "Then." - }, - { - "start": "13:46.76", - "stop": "13:46.80", - "speaker": "Student", - "dialogue": "Ho." - }, - { - "start": "13:47.12", - "stop": "13:47.16", - "speaker": "Tutor", - "dialogue": "Ho." - }, - { - "start": "13:47.56", - "stop": "13:47.60", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "13:50.48", - "stop": "13:50.76", - "speaker": "Tutor", - "dialogue": "Thirty." - }, - { - "start": "13:50.88", - "stop": "13:51.24", - "speaker": "Student", - "dialogue": "Minutes." - }, - { - "start": "13:58.44", - "stop": "13:58.76", - "speaker": "Tutor", - "dialogue": "Twenty." - }, - { - "start": "13:58.88", - "stop": "13:59.24", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "14:07.16", - "stop": "14:07.40", - "speaker": "Tutor", - "dialogue": "Still." - }, - { - "start": "14:07.48", - "stop": "14:07.60", - "speaker": "Student", - "dialogue": "That's" - }, - { - "start": "14:07.64", - "stop": "14:07.68", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "14:07.92", - "stop": "14:07.96", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "14:08.24", - "stop": "14:08.60", - "speaker": "Tutor", - "dialogue": "Ashould." - }, - { - "start": "14:08.68", - "stop": "14:09.72", - "speaker": "Student", - "dialogue": "Li point f as well." - }, - { - "start": "14:15.52", - "stop": "14:17.16", - "speaker": "Tutor", - "dialogue": "And what's happening with D and E?" - }, - { - "start": "14:17.96", - "stop": "14:20.72", - "speaker": "Tutor", - "dialogue": "in terms of miles and hours that makes this line bumpy?" - }, - { - "start": "14:20.92", - "stop": "14:22.24", - "speaker": "Tutor", - "dialogue": "What's going on in this situation?" - }, - { - "start": "14:23.60", - "stop": "14:32.76", - "speaker": "Student", - "dialogue": "I said it was nonlinear, but I don't know if that's exactly right, but I think they just um weren't going at consistent speed so." - }, - { - "start": "14:37.68", - "stop": "14:37.72", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "14:37.96", - "stop": "14:39.24", - "speaker": "Student", - "dialogue": "Know how I live with that, though." - }, - { - "start": "14:39.80", - "stop": "14:40.64", - "speaker": "Tutor", - "dialogue": "So you were saying" - }, - { - "start": "14:40.76", - "stop": "14:45.12", - "speaker": "Tutor", - "dialogue": "it's about when you were figuring out the speed?" - }, - { - "start": "14:45.20", - "stop": "14:45.48", - "speaker": "Tutor", - "dialogue": "Ah, we?" - }, - { - "start": "14:45.64", - "stop": "14:56.00", - "speaker": "Tutor", - "dialogue": "Well, we'll get to that whenever we think about the speed, Because what you're saying here is their speed is not consistent, but from C to D is the speed consistent." - }, - { - "start": "14:57.20", - "stop": "15:09.84", - "speaker": "Student", - "dialogue": "I think from C to D, the speed is consistent because the line is straight, but from Dde, there's like some vertical parts and some diagonal, some horizontal, so it's like when it's horizontal" - }, - { - "start": "15:09.92", - "stop": "15:13.12", - "speaker": "Student", - "dialogue": "they're moving slower, and vertical they're moving faster." - }, - { - "start": "15:14.60", - "stop": "15:19.92", - "speaker": "Tutor", - "dialogue": "And that is exactly what you described earlier with linear and nonlinear." - }, - { - "start": "15:20.24", - "stop": "15:25.36", - "speaker": "Tutor", - "dialogue": "So D to E is the This line is a nonlinear relationship" - }, - { - "start": "15:25.44", - "stop": "15:27.60", - "speaker": "Tutor", - "dialogue": "Because they're not moving at a constant speed." - }, - { - "start": "15:28.04", - "stop": "15:37.12", - "speaker": "Tutor", - "dialogue": "The speed is varying from C to D. The speed remains constant, so it's a linear relationship because it's a constant rate." - }, - { - "start": "15:39.04", - "stop": "15:39.16", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "15:39.20", - "stop": "15:39.84", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "15:41.44", - "stop": "15:41.48", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "15:41.64", - "stop": "15:43.04", - "speaker": "Tutor", - "dialogue": "Your hunch and your thinking was there." - }, - { - "start": "15:43.20", - "stop": "15:48.60", - "speaker": "Tutor", - "dialogue": "You were just wanting to have confidence in your explanation of that terminology is what I heard." - }, - { - "start": "15:50.36", - "stop": "15:50.64", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "15:50.76", - "stop": "15:58.36", - "speaker": "Tutor", - "dialogue": "So now we're going to use these words to describe a few things, cause you've talked." - }, - { - "start": "15:58.52", - "stop": "16:00.08", - "speaker": "Tutor", - "dialogue": "There's a lot going on in here." - }, - { - "start": "16:00.56", - "stop": "16:05.12", - "speaker": "Tutor", - "dialogue": "There's lots of different things that are changing and there's lots of different units" - }, - { - "start": "16:05.20", - "stop": "16:08.32", - "speaker": "Tutor", - "dialogue": "we're using, so distance, time and speed are all changing." - }, - { - "start": "16:09.16", - "stop": "16:11.92", - "speaker": "Tutor", - "dialogue": "And there's units of miles hours." - }, - { - "start": "16:12.44", - "stop": "16:13.80", - "speaker": "Tutor", - "dialogue": "And how would we measure speed?" - }, - { - "start": "16:16.36", - "stop": "16:17.16", - "speaker": "Student", - "dialogue": "Wait, would you say?" - }, - { - "start": "16:17.92", - "stop": "16:20.68", - "speaker": "Tutor", - "dialogue": "What unit would we use to measure or keep track of speed?" - }, - { - "start": "16:21.92", - "stop": "16:24.00", - "speaker": "Student", - "dialogue": "Oh miles for hours, okay?" - }, - { - "start": "16:24.64", - "stop": "16:27.48", - "speaker": "Tutor", - "dialogue": "So we have miles for hours." - }, - { - "start": "16:27.64", - "stop": "16:32.48", - "speaker": "Tutor", - "dialogue": "Yeah, so we have distance is a thing that's changing in units of miles." - }, - { - "start": "16:33.12", - "stop": "16:33.76", - "speaker": "Tutor", - "dialogue": "We have time." - }, - { - "start": "16:33.84", - "stop": "16:40.60", - "speaker": "Tutor", - "dialogue": "A is a thing that's changing in units of hours, And we have speed as a thing that's changing in units of miles per hour." - }, - { - "start": "16:42.00", - "stop": "16:53.36", - "speaker": "Tutor", - "dialogue": "So whenever I ask you to justify why you put something where you did, I challenge you to use these purple words in your description of why you put it where you did, Ok?" - }, - { - "start": "16:54.40", - "stop": "16:54.68", - "speaker": "Student", - "dialogue": "Oky." - }, - { - "start": "16:54.92", - "stop": "17:01.72", - "speaker": "Tutor", - "dialogue": "So from A to B, what's going on from A to B? I heard you thinking out loud." - }, - { - "start": "17:01.84", - "stop": "17:08.72", - "speaker": "Tutor", - "dialogue": "you were thinking about taking that hundred and fifty miles and dividing it in third right here, Ah, to do about fifty miles." - }, - { - "start": "17:09.80", - "stop": "17:09.84", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "17:10.04", - "stop": "17:12.08", - "speaker": "Tutor", - "dialogue": "You're talking about distance right there." - }, - { - "start": "17:12.60", - "stop": "17:24.48", - "speaker": "Tutor", - "dialogue": "Ahh, can you also explain what's going on from A to B with distance with time with speed, and what's increasing, decreasing and staying the same in that section?" - }, - { - "start": "17:27.32", - "stop": "17:27.36", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "17:27.44", - "stop": "17:27.68", - "speaker": "Tutor", - "dialogue": "Would?" - }, - { - "start": "17:27.72", - "stop": "17:47.04", - "speaker": "Student", - "dialogue": "Say the distance is increasing because they went from zero miles at point A to fifty miles at point B, and the time is also increasing because it took them an hour to get to point B. and I would say the speed is stained the same because they're going a constant rate of fifty miles an hour." - }, - { - "start": "17:48.40", - "stop": "17:49.44", - "speaker": "Tutor", - "dialogue": "Excellent explanation." - }, - { - "start": "17:49.56", - "stop": "17:50.80", - "speaker": "Tutor", - "dialogue": "I can follow your thinking really" - }, - { - "start": "17:50.84", - "stop": "17:52.60", - "speaker": "Tutor", - "dialogue": "well, All right, what about?" - }, - { - "start": "17:52.88", - "stop": "17:53.92", - "speaker": "Tutor", - "dialogue": "I'm curious about this." - }, - { - "start": "17:54.48", - "stop": "17:54.72", - "speaker": "Tutor", - "dialogue": "How com." - }, - { - "start": "17:55.00", - "stop": "18:06.00", - "speaker": "Tutor", - "dialogue": "The line from A to B is Kirby on the map, but the line from A to B on the graph is straight if they're t all on the same section." - }, - { - "start": "18:07.76", - "stop": "18:10.64", - "speaker": "Student", - "dialogue": "The pin from A to B is just like." - }, - { - "start": "18:12.52", - "stop": "18:12.64", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "18:12.92", - "stop": "18:14.20", - "speaker": "Student", - "dialogue": "We let me Eck explain this." - }, - { - "start": "18:17.76", - "stop": "18:17.80", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "18:18.16", - "stop": "18:27.56", - "speaker": "Student", - "dialogue": "The distance you travel isn't really like, related to how straight the line is, but um, yeah, that's just it." - }, - { - "start": "18:27.72", - "stop": "18:30.16", - "speaker": "Student", - "dialogue": "The distance you travel isn't relates how straight the line is." - }, - { - "start": "18:30.24", - "stop": "18:36.00", - "speaker": "Student", - "dialogue": "It's just how far or like how long it takes your car, I guess, or." - }, - { - "start": "18:38.20", - "stop": "18:38.40", - "speaker": "Tutor", - "dialogue": "Man." - }, - { - "start": "18:38.64", - "stop": "18:39.08", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "18:41.40", - "stop": "18:47.84", - "speaker": "Tutor", - "dialogue": "Why is do you agree that A to be here is keeping track of the same section of the journey as a tob here?" - }, - { - "start": "18:51.52", - "stop": "18:51.56", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "18:51.92", - "stop": "18:51.96", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "18:52.08", - "stop": "18:52.24", - "speaker": "Student", - "dialogue": "Think." - }, - { - "start": "18:52.32", - "stop": "18:56.36", - "speaker": "Tutor", - "dialogue": "So it is, so how come on the map?" - }, - { - "start": "18:56.80", - "stop": "18:57.48", - "speaker": "Tutor", - "dialogue": "it's Kirby." - }, - { - "start": "18:58.56", - "stop": "19:03.20", - "speaker": "Tutor", - "dialogue": "What is the map keeping track of in comparison to what the graphi is keeping track of?" - }, - { - "start": "19:08.00", - "stop": "19:09.76", - "speaker": "Student", - "dialogue": "The maphist keeping track of space." - }, - { - "start": "19:12.52", - "stop": "19:12.56", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "19:12.88", - "stop": "19:19.80", - "speaker": "Student", - "dialogue": "The graphist keeping track of the distance and time it takes to travel the space." - }, - { - "start": "19:20.72", - "stop": "19:36.52", - "speaker": "Tutor", - "dialogue": "Yeah, and even more specifically with what you just said about distance and time is that graph is keeping track of the relationship between distance and time and how they're changing together, And that's what creates speed in this situation." - }, - { - "start": "19:37.08", - "stop": "19:42.40", - "speaker": "Tutor", - "dialogue": "So any graph that we look at whether it's a linear graph, nonlinear, or something" - }, - { - "start": "19:42.48", - "stop": "19:45.48", - "speaker": "Tutor", - "dialogue": "like this, where it has parts of each or" - }, - { - "start": "19:46.04", - "stop": "19:50.52", - "speaker": "Tutor", - "dialogue": "sometimes, I'm sure you've seen graphs that look like this right." - }, - { - "start": "19:51.72", - "stop": "19:57.48", - "speaker": "Tutor", - "dialogue": "No matter what type of graph we're dealing with, one Axies always shows us how this thing is changing." - }, - { - "start": "19:58.40", - "stop": "20:10.12", - "speaker": "Tutor", - "dialogue": "Another Axies always shows us how this thing is changing, and the stuff in the middle tells us how the relationship between these two things that are changing how they're changing together." - }, - { - "start": "20:11.60", - "stop": "20:18.24", - "speaker": "Tutor", - "dialogue": "and in this graph it happens to be speed that is represented as that new thing that we're keeping track of." - }, - { - "start": "20:20.56", - "stop": "20:20.88", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "20:21.04", - "stop": "20:22.88", - "speaker": "Tutor", - "dialogue": "Ok, just summarizing what I was thinking." - }, - { - "start": "20:22.96", - "stop": "20:24.88", - "speaker": "Tutor", - "dialogue": "I was hearing you explain." - }, - { - "start": "20:26.00", - "stop": "20:35.12", - "speaker": "Tutor", - "dialogue": "Now I'm going to uncover another one and you're going to sketch a graph this timecho." - }, - { - "start": "20:35.40", - "stop": "20:35.68", - "speaker": "Student", - "dialogue": "Between." - }, - { - "start": "20:35.76", - "stop": "20:40.80", - "speaker": "Tutor", - "dialogue": "The relationship of time and speed, same situation." - }, - { - "start": "20:43.32", - "stop": "20:47.20", - "speaker": "Student", - "dialogue": "Oh, so just like Okay, the axesions." - }, - { - "start": "20:48.00", - "stop": "20:49.80", - "speaker": "Tutor", - "dialogue": "Um, there's more than the axes that's changed." - }, - { - "start": "20:50.44", - "stop": "20:51.48", - "speaker": "Student", - "dialogue": "Oh, speed, oh." - }, - { - "start": "20:51.80", - "stop": "20:54.68", - "speaker": "Tutor", - "dialogue": "Yum." - }, - { - "start": "20:55.60", - "stop": "20:58.36", - "speaker": "Student", - "dialogue": "All right, uh?" - }, - { - "start": "21:04.40", - "stop": "21:04.52", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "21:04.68", - "stop": "21:04.80", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "21:05.92", - "stop": "21:06.08", - "speaker": "Tutor", - "dialogue": "I'm" - }, - { - "start": "21:06.20", - "stop": "21:10.40", - "speaker": "Student", - "dialogue": "Just gona start by creating the graph." - }, - { - "start": "21:11.20", - "stop": "21:11.24", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "21:11.56", - "stop": "21:12.76", - "speaker": "Student", - "dialogue": "Oh, wait, Do I even need this?" - }, - { - "start": "21:14.08", - "stop": "21:14.28", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "21:20.00", - "stop": "21:20.20", - "speaker": "Tutor", - "dialogue": "I'll" - }, - { - "start": "21:20.28", - "stop": "21:20.44", - "speaker": "Student", - "dialogue": "Just." - }, - { - "start": "21:20.44", - "stop": "21:20.64", - "speaker": "Tutor", - "dialogue": "Put." - }, - { - "start": "21:20.64", - "stop": "21:22.20", - "speaker": "Student", - "dialogue": "It just in case, and then." - }, - { - "start": "21:24.56", - "stop": "21:24.76", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "21:24.96", - "stop": "21:25.80", - "speaker": "Student", - "dialogue": "Shall I not put it?" - }, - { - "start": "21:27.76", - "stop": "21:29.56", - "speaker": "Tutor", - "dialogue": "Are you waiting for me to tell you one way or the other?" - }, - { - "start": "21:30.32", - "stop": "21:30.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "21:31.36", - "stop": "21:35.44", - "speaker": "Tutor", - "dialogue": "And I'm not going to do it, because I want you to graph in a way that makes sense for you." - }, - { - "start": "21:35.64", - "stop": "21:36.76", - "speaker": "Tutor", - "dialogue": "and then we will go from there." - }, - { - "start": "21:36.96", - "stop": "21:39.84", - "speaker": "Tutor", - "dialogue": "So if it's our sense for you to have these right now, put them on there." - }, - { - "start": "21:42.16", - "stop": "21:42.28", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "21:42.32", - "stop": "21:43.72", - "speaker": "Tutor", - "dialogue": "You creating like the graph paper." - }, - { - "start": "21:44.40", - "stop": "21:44.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "21:49.72", - "stop": "21:49.88", - "speaker": "Tutor", - "dialogue": "When?" - }, - { - "start": "21:49.96", - "stop": "21:50.00", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "21:50.12", - "stop": "21:51.20", - "speaker": "Tutor", - "dialogue": "Go to create your graph." - }, - { - "start": "21:51.52", - "stop": "21:52.88", - "speaker": "Tutor", - "dialogue": "Change the color of your text" - }, - { - "start": "21:53.44", - "stop": "21:54.32", - "speaker": "Tutor", - "dialogue": "so I can follow." - }, - { - "start": "21:55.92", - "stop": "21:56.12", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "21:56.32", - "stop": "21:58.92", - "speaker": "Tutor", - "dialogue": "Sae are change the color of your pencil." - }, - { - "start": "21:59.52", - "stop": "22:05.68", - "speaker": "Student", - "dialogue": "Yeah, yeah, okay, and then So for speed August, um?" - }, - { - "start": "22:09.44", - "stop": "22:09.48", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "22:10.36", - "stop": "22:11.84", - "speaker": "Student", - "dialogue": "Is happening alright?" - }, - { - "start": "22:11.96", - "stop": "22:16.68", - "speaker": "Student", - "dialogue": "Uh, so time and speed." - }, - { - "start": "22:32.28", - "stop": "22:32.44", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "22:33.04", - "stop": "22:33.08", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "22:33.16", - "stop": "22:33.36", - "speaker": "Tutor", - "dialogue": "Don't." - }, - { - "start": "22:33.40", - "stop": "22:33.56", - "speaker": "Student", - "dialogue": "Really?" - }, - { - "start": "22:33.60", - "stop": "22:33.64", - "speaker": "Tutor", - "dialogue": "Know?" - }, - { - "start": "22:33.72", - "stop": "22:56.84", - "speaker": "Student", - "dialogue": "What I'm thinking, Uh, Okay, so my thought process right now is I don't really know how to Um graph it because time and speed is like pretty simil similar, and it doesn't really correspond to my head how Um miles per hour is involving time" - }, - { - "start": "22:57.52", - "stop": "23:03.52", - "speaker": "Student", - "dialogue": "Is is also involving hours, because in like an hour." - }, - { - "start": "23:08.00", - "stop": "23:08.56", - "speaker": "Tutor", - "dialogue": "So cool." - }, - { - "start": "23:08.88", - "stop": "23:18.20", - "speaker": "Tutor", - "dialogue": "Yes, you're trying to make sense of speed is a thing that is made up of miles and hours." - }, - { - "start": "23:19.48", - "stop": "23:22.28", - "speaker": "Tutor", - "dialogue": "And then I also have to graph that in relationship to ours." - }, - { - "start": "23:23.04", - "stop": "23:24.20", - "speaker": "Tutor", - "dialogue": "so they both have ours." - }, - { - "start": "23:24.52", - "stop": "23:25.36", - "speaker": "Tutor", - "dialogue": "Is that what you're saying?" - }, - { - "start": "23:25.80", - "stop": "23:33.24", - "speaker": "Student", - "dialogue": "Yeah, I'm just going to like label the graph for now and then I'll think about it afterwards." - }, - { - "start": "23:33.52", - "stop": "23:35.72", - "speaker": "Tutor", - "dialogue": "So what you're labelling Rightow with these numbers?" - }, - { - "start": "23:36.00", - "stop": "23:38.16", - "speaker": "Tutor", - "dialogue": "What does that five represent?" - }, - { - "start": "23:38.84", - "stop": "23:40.32", - "speaker": "Student", - "dialogue": "Uh, five hours five." - }, - { - "start": "23:40.48", - "stop": "23:43.40", - "speaker": "Tutor", - "dialogue": "Hours, in what context of this situation?" - }, - { - "start": "23:44.96", - "stop": "23:51.12", - "speaker": "Student", - "dialogue": "It in this graph because it took four hours to get from point eight to F. so I won't be needing point" - }, - { - "start": "23:51.24", - "stop": "23:56.64", - "speaker": "Student", - "dialogue": "A hours, five, six and seven, but I just thought I'd label it just because I'd do those lines." - }, - { - "start": "23:57.24", - "stop": "24:04.12", - "speaker": "Tutor", - "dialogue": "Okay, the hours are the length of time that is passing in our journey." - }, - { - "start": "24:05.84", - "stop": "24:14.28", - "speaker": "Tutor", - "dialogue": "Okay, so in our journey, the entire trip takes us four hours, but there are stops along the journey within those four hours." - }, - { - "start": "24:15.08", - "stop": "24:15.12", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "24:15.92", - "stop": "24:22.20", - "speaker": "Tutor", - "dialogue": "Within those four hours are we travelling at the same speed the entire journey, or is our speed changing?" - }, - { - "start": "24:22.76", - "stop": "24:23.48", - "speaker": "Student", - "dialogue": "It's changing." - }, - { - "start": "24:24.20", - "stop": "24:28.08", - "speaker": "Tutor", - "dialogue": "So how can your graph show that speed is changing?" - }, - { - "start": "24:29.44", - "stop": "24:30.96", - "speaker": "Tutor", - "dialogue": "In what ways is it changing?" - }, - { - "start": "24:32.40", - "stop": "24:37.20", - "speaker": "Student", - "dialogue": "Um, I, I think I'm just going to like right." - }, - { - "start": "24:37.92", - "stop": "24:39.00", - "speaker": "Student", - "dialogue": "Like, just like plot." - }, - { - "start": "24:39.56", - "stop": "24:39.68", - "speaker": "Student", - "dialogue": "Um?" - }, - { - "start": "24:43.92", - "stop": "24:43.96", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "24:48.68", - "stop": "24:48.88", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "24:50.76", - "stop": "24:50.80", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "24:50.96", - "stop": "24:52.88", - "speaker": "Student", - "dialogue": "I was thinking Okay, I'll just write it here." - }, - { - "start": "24:53.00", - "stop": "24:54.04", - "speaker": "Student", - "dialogue": "Ill. I was just gonna." - }, - { - "start": "24:55.08", - "stop": "24:55.20", - "speaker": "Student", - "dialogue": "um." - }, - { - "start": "24:57.60", - "stop": "24:57.88", - "speaker": "Tutor", - "dialogue": "Write." - }, - { - "start": "24:58.08", - "stop": "25:03.60", - "speaker": "Student", - "dialogue": "Like ten miles per hour, or like twenty miles per hour?" - }, - { - "start": "25:05.92", - "stop": "25:06.08", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "25:06.16", - "stop": "25:09.40", - "speaker": "Student", - "dialogue": "This makes sense, thirty forty." - }, - { - "start": "25:11.88", - "stop": "25:12.24", - "speaker": "Tutor", - "dialogue": "Fifty." - }, - { - "start": "25:14.80", - "stop": "25:14.84", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "25:15.08", - "stop": "25:15.28", - "speaker": "Tutor", - "dialogue": "Then." - }, - { - "start": "25:16.84", - "stop": "25:25.16", - "speaker": "Student", - "dialogue": "I was going to plot like an hour hour on then." - }, - { - "start": "25:28.48", - "stop": "25:28.52", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "25:28.68", - "stop": "25:35.64", - "speaker": "Student", - "dialogue": "The, in the next half an hour, they went zero miles forer hour, so it'd be like over here." - }, - { - "start": "25:37.68", - "stop": "25:37.72", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "25:37.96", - "stop": "25:38.16", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "25:41.20", - "stop": "25:41.36", - "speaker": "Tutor", - "dialogue": "An." - }, - { - "start": "25:41.52", - "stop": "25:50.68", - "speaker": "Student", - "dialogue": "Hour wait, Oh yeah, and then from C to D, which is like another hour they went." - }, - { - "start": "25:53.76", - "stop": "25:54.12", - "speaker": "Tutor", - "dialogue": "Fifty." - }, - { - "start": "25:54.20", - "stop": "25:57.36", - "speaker": "Student", - "dialogue": "Miles an hour right, so be back over here." - }, - { - "start": "25:57.60", - "stop": "25:59.96", - "speaker": "Tutor", - "dialogue": "And you just said from C to D, they did that." - }, - { - "start": "26:00.40", - "stop": "26:04.00", - "speaker": "Tutor", - "dialogue": "So where is point C, and where is point D on your graph?" - }, - { - "start": "26:05.12", - "stop": "26:09.12", - "speaker": "Student", - "dialogue": "Point C is at one one a half hours, Oh." - }, - { - "start": "26:10.56", - "stop": "26:10.60", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "26:11.04", - "stop": "26:11.44", - "speaker": "Student", - "dialogue": "I see." - }, - { - "start": "26:14.92", - "stop": "26:15.08", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "26:15.12", - "stop": "26:26.96", - "speaker": "Student", - "dialogue": "Wait, oh yeah, C is at one and a half hours, and D is at two and a half hours, So since that amount time passed, I'm just uh, wading." - }, - { - "start": "26:27.28", - "stop": "26:28.32", - "speaker": "Student", - "dialogue": "what the speed it?" - }, - { - "start": "26:29.24", - "stop": "26:29.92", - "speaker": "Student", - "dialogue": "what the speed was" - }, - { - "start": "26:30.08", - "stop": "26:44.20", - "speaker": "Student", - "dialogue": "when they were going there and then from D d E. it was about thirty miles an hour." - }, - { - "start": "26:48.32", - "stop": "26:48.36", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "26:48.80", - "stop": "26:48.96", - "speaker": "Student", - "dialogue": "Myin." - }, - { - "start": "26:49.04", - "stop": "26:49.08", - "speaker": "Tutor", - "dialogue": "E." - }, - { - "start": "26:49.28", - "stop": "26:50.44", - "speaker": "Student", - "dialogue": "Was at three and a half hours" - }, - { - "start": "26:50.68", - "stop": "26:52.12", - "speaker": "Student", - "dialogue": "Sot three and a half hours Aight." - }, - { - "start": "26:52.24", - "stop": "26:53.92", - "speaker": "Student", - "dialogue": "I'll put Ight at thirty." - }, - { - "start": "26:55.72", - "stop": "26:55.76", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "26:55.96", - "stop": "27:00.04", - "speaker": "Student", - "dialogue": "Then, from E to f, it was twenty miles an hour." - }, - { - "start": "27:00.20", - "stop": "27:02.44", - "speaker": "Student", - "dialogue": "So four I'll put." - }, - { - "start": "27:02.88", - "stop": "27:04.68", - "speaker": "Student", - "dialogue": "I'll put thing at twenty." - }, - { - "start": "27:08.40", - "stop": "27:11.48", - "speaker": "Tutor", - "dialogue": "So this is the first point you started with." - }, - { - "start": "27:12.12", - "stop": "27:12.40", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "27:13.08", - "stop": "27:15.52", - "speaker": "Tutor", - "dialogue": "This point represents what to you." - }, - { - "start": "27:17.68", - "stop": "27:17.72", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "27:20.52", - "stop": "27:20.56", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "27:21.12", - "stop": "27:21.92", - "speaker": "Student", - "dialogue": "The starting point." - }, - { - "start": "27:23.32", - "stop": "27:23.36", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "27:23.72", - "stop": "27:25.52", - "speaker": "Student", - "dialogue": "The beginning at Providence, I guess." - }, - { - "start": "27:26.36", - "stop": "27:30.72", - "speaker": "Tutor", - "dialogue": "So they, when they start, they've already been traveling for one hour." - }, - { - "start": "27:34.00", - "stop": "27:34.24", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "27:35.96", - "stop": "27:36.00", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "27:44.96", - "stop": "27:45.00", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "27:45.36", - "stop": "27:45.40", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "27:45.64", - "stop": "27:45.80", - "speaker": "Student", - "dialogue": "Were?" - }, - { - "start": "27:45.84", - "stop": "27:46.08", - "speaker": "Tutor", - "dialogue": "Paying." - }, - { - "start": "27:46.16", - "stop": "27:46.52", - "speaker": "Student", - "dialogue": "Attention." - }, - { - "start": "27:46.60", - "stop": "27:51.84", - "speaker": "Tutor", - "dialogue": "To certain points, I'm gonna ask you to think about the section now." - }, - { - "start": "27:52.80", - "stop": "28:02.56", - "speaker": "Tutor", - "dialogue": "so from A to B, How much is how much time is changing from a tob?" - }, - { - "start": "28:04.48", - "stop": "28:05.52", - "speaker": "Student", - "dialogue": "How much time is changing?" - }, - { - "start": "28:05.64", - "stop": "28:06.40", - "speaker": "Student", - "dialogue": "Like an hour?" - }, - { - "start": "28:06.68", - "stop": "28:09.88", - "speaker": "Tutor", - "dialogue": "Ok, so time has increasing by an hour?" - }, - { - "start": "28:10.48", - "stop": "28:10.84", - "speaker": "Student", - "dialogue": "Uhhuh." - }, - { - "start": "28:11.68", - "stop": "28:13.64", - "speaker": "Tutor", - "dialogue": "What's happening with speed from A to B?" - }, - { - "start": "28:14.20", - "stop": "28:15.08", - "speaker": "Tutor", - "dialogue": "Is it increasing?" - }, - { - "start": "28:15.56", - "stop": "28:18.28", - "speaker": "Tutor", - "dialogue": "It's increasing, increasing, decreasing, or staying the same." - }, - { - "start": "28:19.76", - "stop": "28:20.72", - "speaker": "Student", - "dialogue": "A, it's increasing." - }, - { - "start": "28:22.08", - "stop": "28:24.36", - "speaker": "Tutor", - "dialogue": "Earlier, you told me that it was constant." - }, - { - "start": "28:24.96", - "stop": "28:26.00", - "speaker": "Student", - "dialogue": "Oh, you said speed." - }, - { - "start": "28:26.20", - "stop": "28:27.52", - "speaker": "Student", - "dialogue": "Yeah, Ah, this said time." - }, - { - "start": "28:27.60", - "stop": "28:28.16", - "speaker": "Student", - "dialogue": "Sorry enough." - }, - { - "start": "28:29.32", - "stop": "28:32.08", - "speaker": "Student", - "dialogue": "Y, I would say this speed is constant." - }, - { - "start": "28:32.40", - "stop": "28:35.04", - "speaker": "Tutor", - "dialogue": "So from A to B, the speed is constant." - }, - { - "start": "28:35.92", - "stop": "28:46.04", - "speaker": "Tutor", - "dialogue": "You say you have enough information to know how fast the car is going, That entire section, and the car went that fast for a period of one hour." - }, - { - "start": "28:47.32", - "stop": "28:47.56", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "28:47.88", - "stop": "28:52.72", - "speaker": "Tutor", - "dialogue": "How can your graphs show the relationship of all of that stuff that you've said in words?" - }, - { - "start": "29:02.76", - "stop": "29:03.08", - "speaker": "Student", - "dialogue": "Maybe." - }, - { - "start": "29:03.76", - "stop": "29:03.88", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "29:03.96", - "stop": "29:04.00", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "29:04.92", - "stop": "29:05.16", - "speaker": "Tutor", - "dialogue": "Drew." - }, - { - "start": "29:05.32", - "stop": "29:06.84", - "speaker": "Student", - "dialogue": "Like uh, holds on." - }, - { - "start": "29:25.52", - "stop": "29:25.56", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "29:25.88", - "stop": "29:25.92", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "29:26.08", - "stop": "29:26.20", - "speaker": "Tutor", - "dialogue": "There." - }, - { - "start": "29:26.28", - "stop": "29:29.40", - "speaker": "Student", - "dialogue": "A thing I could draw like a. What is it?" - }, - { - "start": "29:29.60", - "stop": "29:35.56", - "speaker": "Student", - "dialogue": "like a side aways, bar, digram, it, or whatever it's called." - }, - { - "start": "29:37.20", - "stop": "29:40.04", - "speaker": "Tutor", - "dialogue": "Um, you want to be like a horizontal barograph or something?" - }, - { - "start": "29:40.40", - "stop": "29:40.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "29:42.80", - "stop": "29:43.24", - "speaker": "Tutor", - "dialogue": "You could." - }, - { - "start": "29:46.20", - "stop": "29:46.36", - "speaker": "Student", - "dialogue": "Just." - }, - { - "start": "29:46.44", - "stop": "29:46.96", - "speaker": "Tutor", - "dialogue": "Drop U there." - }, - { - "start": "29:47.20", - "stop": "29:48.40", - "speaker": "Tutor", - "dialogue": "Do a new one if you wanted to." - }, - { - "start": "29:49.96", - "stop": "29:53.72", - "speaker": "Student", - "dialogue": "Okay, so I'm just I'll write the labels later." - }, - { - "start": "29:53.80", - "stop": "29:55.96", - "speaker": "Student", - "dialogue": "I guess so so from zero one" - }, - { - "start": "29:56.64", - "stop": "30:01.16", - "speaker": "Student", - "dialogue": "it'd be fifty and then one to two." - }, - { - "start": "30:01.36", - "stop": "30:16.12", - "speaker": "Student", - "dialogue": "it'd be zero and then oh, not one to two, one to one and a half, and then from one half to two and a half, it'd be fifty again, and then I fill that in." - }, - { - "start": "30:16.40", - "stop": "30:17.20", - "speaker": "Tutor", - "dialogue": "So stop right there." - }, - { - "start": "30:17.24", - "stop": "30:18.84", - "speaker": "Tutor", - "dialogue": "We' just going to look at these three sections." - }, - { - "start": "30:19.20", - "stop": "30:22.64", - "speaker": "Tutor", - "dialogue": "So you've graphed A to B, B to c and C to B." - }, - { - "start": "30:24.76", - "stop": "30:24.80", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "30:25.28", - "stop": "30:28.12", - "speaker": "Tutor", - "dialogue": "Okay, where is point A on your graph?" - }, - { - "start": "30:30.92", - "stop": "30:33.32", - "speaker": "Student", - "dialogue": "Point a Mhm, Ah" - }, - { - "start": "30:33.80", - "stop": "30:34.04", - "speaker": "Student", - "dialogue": "here." - }, - { - "start": "30:36.60", - "stop": "30:40.28", - "speaker": "Tutor", - "dialogue": "Hm, and where is point B?" - }, - { - "start": "30:44.40", - "stop": "30:44.64", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "30:44.84", - "stop": "30:44.88", - "speaker": "Student", - "dialogue": "yeah." - }, - { - "start": "30:47.28", - "stop": "30:50.76", - "speaker": "Tutor", - "dialogue": "Is your your kind of laugh indicating I'm not sure?" - }, - { - "start": "30:50.96", - "stop": "30:53.84", - "speaker": "Tutor", - "dialogue": "I'm just making a a bast right now." - }, - { - "start": "30:54.48", - "stop": "30:55.40", - "speaker": "Student", - "dialogue": "Yeah, cool." - }, - { - "start": "30:55.72", - "stop": "30:59.68", - "speaker": "Tutor", - "dialogue": "The process that you're in right now this, I'm not sure, and uhh, I don't know." - }, - { - "start": "31:00.04", - "stop": "31:02.52", - "speaker": "Tutor", - "dialogue": "and when I think in my brain the might be like" - }, - { - "start": "31:03.36", - "stop": "31:04.16", - "speaker": "Tutor", - "dialogue": "there's no picture." - }, - { - "start": "31:04.24", - "stop": "31:04.96", - "speaker": "Tutor", - "dialogue": "I'm not quite sure." - }, - { - "start": "31:05.32", - "stop": "31:08.84", - "speaker": "Tutor", - "dialogue": "That means you're literally in the process of learning right now." - }, - { - "start": "31:10.12", - "stop": "31:11.16", - "speaker": "Tutor", - "dialogue": "That's awesome." - }, - { - "start": "31:11.56", - "stop": "31:13.44", - "speaker": "Tutor", - "dialogue": "So whenever you feel this way of Ah, I don't know." - }, - { - "start": "31:13.64", - "stop": "31:14.00", - "speaker": "Tutor", - "dialogue": "Not sure." - }, - { - "start": "31:14.24", - "stop": "31:14.60", - "speaker": "Tutor", - "dialogue": "try this." - }, - { - "start": "31:15.16", - "stop": "31:15.72", - "speaker": "Tutor", - "dialogue": "lean into that." - }, - { - "start": "31:15.96", - "stop": "31:18.48", - "speaker": "Tutor", - "dialogue": "No, that means that your brain is literally growing" - }, - { - "start": "31:18.56", - "stop": "31:21.96", - "speaker": "Tutor", - "dialogue": "new pathways right now and it's literally learning O." - }, - { - "start": "31:23.44", - "stop": "31:23.52", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "31:23.64", - "stop": "31:26.48", - "speaker": "Tutor", - "dialogue": "Right, So you made a prediction that you thought" - }, - { - "start": "31:26.60", - "stop": "31:27.48", - "speaker": "Tutor", - "dialogue": "A might be here." - }, - { - "start": "31:28.60", - "stop": "31:31.36", - "speaker": "Tutor", - "dialogue": "B might be here and then over here" - }, - { - "start": "31:31.44", - "stop": "31:33.08", - "speaker": "Tutor", - "dialogue": "on this graph, you moved this point." - }, - { - "start": "31:33.48", - "stop": "31:34.64", - "speaker": "Tutor", - "dialogue": "Whatd you move that point to?" - }, - { - "start": "31:34.80", - "stop": "31:36.48", - "speaker": "Tutor", - "dialogue": "Is that A or B or something else?" - }, - { - "start": "31:38.08", - "stop": "31:38.92", - "speaker": "Student", - "dialogue": "Um, that's a." - }, - { - "start": "31:40.00", - "stop": "31:41.20", - "speaker": "Tutor", - "dialogue": "K, so label it." - }, - { - "start": "31:43.04", - "stop": "31:43.24", - "speaker": "Student", - "dialogue": "You're" - }, - { - "start": "31:43.36", - "stop": "31:52.96", - "speaker": "Tutor", - "dialogue": "Saying, at point a, the car is going fifty miles an hour and it hasn't traveled any time, does that make sense?" - }, - { - "start": "31:53.68", - "stop": "31:53.80", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "31:54.32", - "stop": "31:54.64", - "speaker": "Tutor", - "dialogue": "Why not?" - }, - { - "start": "31:56.04", - "stop": "32:01.40", - "speaker": "Student", - "dialogue": "Because, um, it travel one hour in fifty miles an hour." - }, - { - "start": "32:02.00", - "stop": "32:14.88", - "speaker": "Tutor", - "dialogue": "Okay, so for an entire hour from zero minutes into the trip, thirty minutes into the trip, an hour into the trip, how far is the or how fast is the car going that entire section of the trip?" - }, - { - "start": "32:17.84", - "stop": "32:17.88", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "32:17.96", - "stop": "32:18.00", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "32:18.08", - "stop": "32:18.48", - "speaker": "Student", - "dialogue": "Do you say?" - }, - { - "start": "32:19.64", - "stop": "32:40.88", - "speaker": "Tutor", - "dialogue": "From you said that, A is like zero minutes, like the trip just started, and the car is going fifty miles an hour, and A to B is a constant speed, So from A to b, if it's a constant speed, how fast is the car going thirty minutes into the trip?" - }, - { - "start": "32:46.60", - "stop": "32:46.72", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "32:46.96", - "stop": "32:47.00", - "speaker": "Tutor", - "dialogue": "W." - }, - { - "start": "32:47.36", - "stop": "32:48.32", - "speaker": "Student", - "dialogue": "How fast is it going?" - }, - { - "start": "32:53.12", - "stop": "32:53.28", - "speaker": "Tutor", - "dialogue": "Wait." - }, - { - "start": "32:53.32", - "stop": "32:54.40", - "speaker": "Student", - "dialogue": "Hell, not, W. You say it again." - }, - { - "start": "32:54.84", - "stop": "32:55.44", - "speaker": "Tutor", - "dialogue": "No, that's okay." - }, - { - "start": "32:55.56", - "stop": "32:56.32", - "speaker": "Tutor", - "dialogue": "Don't apologize." - }, - { - "start": "32:56.40", - "stop": "32:57.20", - "speaker": "Tutor", - "dialogue": "Always ask questions." - }, - { - "start": "32:57.24", - "stop": "32:57.80", - "speaker": "Tutor", - "dialogue": "It's important" - }, - { - "start": "32:58.92", - "stop": "33:01.16", - "speaker": "Tutor", - "dialogue": "so let me just make sure I'm still with you" - }, - { - "start": "33:01.28", - "stop": "33:01.88", - "speaker": "Tutor", - "dialogue": "On your thinking." - }, - { - "start": "33:02.36", - "stop": "33:06.32", - "speaker": "Tutor", - "dialogue": "Yeah, A to B, you said is a constant speed, B." - }, - { - "start": "33:06.96", - "stop": "33:07.12", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "33:07.44", - "stop": "33:09.76", - "speaker": "Tutor", - "dialogue": "And the constant speed is fifty miles an hour." - }, - { - "start": "33:11.80", - "stop": "33:11.84", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "33:12.16", - "stop": "33:17.80", - "speaker": "Tutor", - "dialogue": "Entire section of the journey from a tob, so from here." - }, - { - "start": "33:22.68", - "stop": "33:22.72", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "33:23.00", - "stop": "33:28.76", - "speaker": "Tutor", - "dialogue": "So the yellow circled sections, one shows it on the map one shows on the graph." - }, - { - "start": "33:29.16", - "stop": "33:29.88", - "speaker": "Tutor", - "dialogue": "Is that what you're saying?" - }, - { - "start": "33:29.96", - "stop": "33:32.08", - "speaker": "Tutor", - "dialogue": "The car's going fifty miles an hour that entire time." - }, - { - "start": "33:32.64", - "stop": "33:32.68", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "33:33.20", - "stop": "33:33.44", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "33:33.92", - "stop": "33:38.16", - "speaker": "Tutor", - "dialogue": "So then you also said from A to B, it takes the car one hour." - }, - { - "start": "33:38.88", - "stop": "33:43.60", - "speaker": "Tutor", - "dialogue": "Ah, hah, so for one hour the car is travelling fifty miles an hour." - }, - { - "start": "33:44.68", - "stop": "33:44.72", - "speaker": "Student", - "dialogue": "Y." - }, - { - "start": "33:45.56", - "stop": "33:49.48", - "speaker": "Tutor", - "dialogue": "So thirty minutes into the trip, how fast is the car going?" - }, - { - "start": "33:51.68", - "stop": "33:53.04", - "speaker": "Student", - "dialogue": "I'm still fifty miles An." - }, - { - "start": "33:53.04", - "stop": "33:55.16", - "speaker": "Tutor", - "dialogue": "Hour, all right, and here's thirty minutes into the trip." - }, - { - "start": "33:55.60", - "stop": "34:01.00", - "speaker": "Tutor", - "dialogue": "How can you show its still going fifty miles an hour and one hour into the trip." - }, - { - "start": "34:01.40", - "stop": "34:02.72", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "34:05.08", - "stop": "34:08.08", - "speaker": "Student", - "dialogue": "One hour in the trip on fifty miles an hour, okay?" - }, - { - "start": "34:08.16", - "stop": "34:16.12", - "speaker": "Tutor", - "dialogue": "So how can your graph show that From the time I take off all the way till I've been driving for an hour, I'm going fifty miles an hour." - }, - { - "start": "34:17.04", - "stop": "34:18.68", - "speaker": "Student", - "dialogue": "Its fgel like a line here." - }, - { - "start": "34:19.36", - "stop": "34:21.24", - "speaker": "Tutor", - "dialogue": "Like a vertical line or a horizontal line?" - }, - { - "start": "34:21.68", - "stop": "34:22.52", - "speaker": "Student", - "dialogue": "A vertical line." - }, - { - "start": "34:23.04", - "stop": "34:26.04", - "speaker": "Tutor", - "dialogue": "So does that show from zero to one hour?" - }, - { - "start": "34:26.48", - "stop": "34:27.36", - "speaker": "Tutor", - "dialogue": "My car is going" - }, - { - "start": "34:27.44", - "stop": "34:32.88", - "speaker": "Tutor", - "dialogue": "fifty miles an hour and it's staying constant and the speed is staying constant." - }, - { - "start": "34:33.40", - "stop": "34:34.28", - "speaker": "Student", - "dialogue": "Yeah, okay." - }, - { - "start": "34:35.44", - "stop": "34:38.20", - "speaker": "Tutor", - "dialogue": "Now be to sea, how fast is the car going?" - }, - { - "start": "34:41.72", - "stop": "34:43.48", - "speaker": "Student", - "dialogue": "Uh, zero miles an hour." - }, - { - "start": "34:46.16", - "stop": "34:48.84", - "speaker": "Tutor", - "dialogue": "And how did you know how long to make this vertical line?" - }, - { - "start": "34:49.00", - "stop": "34:50.56", - "speaker": "Tutor", - "dialogue": "Why did you stop it here and here?" - }, - { - "start": "34:51.40", - "stop": "34:57.32", - "speaker": "Student", - "dialogue": "B, since it start at one hour and ended at one half hours." - }, - { - "start": "34:59.56", - "stop": "35:01.00", - "speaker": "Tutor", - "dialogue": "And what about from C to D?" - }, - { - "start": "35:01.48", - "stop": "35:02.80", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "35:02.88", - "stop": "35:03.64", - "speaker": "Tutor", - "dialogue": "And for how long?" - }, - { - "start": "35:06.12", - "stop": "35:08.08", - "speaker": "Student", - "dialogue": "It's going fifty miles an hour for an hour." - }, - { - "start": "35:11.88", - "stop": "35:11.92", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "35:12.04", - "stop": "35:20.04", - "speaker": "Student", - "dialogue": "I should go like thisre." - }, - { - "start": "35:20.08", - "stop": "35:20.12", - "speaker": "Tutor", - "dialogue": "For." - }, - { - "start": "35:20.16", - "stop": "35:20.20", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "35:20.24", - "stop": "35:20.48", - "speaker": "Tutor", - "dialogue": "Secd." - }, - { - "start": "35:22.28", - "stop": "35:24.00", - "speaker": "Student", - "dialogue": "Oh, that's B. C. what?" - }, - { - "start": "35:29.12", - "stop": "35:29.16", - "speaker": "Tutor", - "dialogue": "Be." - }, - { - "start": "35:30.64", - "stop": "35:30.68", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "35:31.04", - "stop": "35:31.08", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "35:31.72", - "stop": "35:32.20", - "speaker": "Student", - "dialogue": "But then?" - }, - { - "start": "35:34.36", - "stop": "35:34.68", - "speaker": "Tutor", - "dialogue": "Cd." - }, - { - "start": "35:34.72", - "stop": "35:37.48", - "speaker": "Student", - "dialogue": "A B is already notugh." - }, - { - "start": "35:38.16", - "stop": "35:41.76", - "speaker": "Student", - "dialogue": "Well, one't have to wait." - }, - { - "start": "35:46.24", - "stop": "35:46.32", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "35:46.48", - "stop": "35:51.68", - "speaker": "Student", - "dialogue": "I'm just confusing myself at this point 'cause C. C has to start." - }, - { - "start": "35:51.92", - "stop": "35:52.04", - "speaker": "Student", - "dialogue": "End." - }, - { - "start": "35:53.60", - "stop": "35:58.12", - "speaker": "Student", - "dialogue": "wait, Yes, C is from B to c, but also from to c to D. Ah." - }, - { - "start": "35:58.36", - "stop": "36:00.04", - "speaker": "Tutor", - "dialogue": "Beautiful, that isn't confusing." - }, - { - "start": "36:00.12", - "stop": "36:03.20", - "speaker": "Tutor", - "dialogue": "that your brain trying to make sense, C is at two points." - }, - { - "start": "36:04.88", - "stop": "36:04.92", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "36:05.64", - "stop": "36:08.48", - "speaker": "Tutor", - "dialogue": "The way I'm labeling it so A?" - }, - { - "start": "36:08.92", - "stop": "36:10.08", - "speaker": "Tutor", - "dialogue": "so let's go back and label" - }, - { - "start": "36:10.16", - "stop": "36:12.20", - "speaker": "Tutor", - "dialogue": "A to B and B to C down here too." - }, - { - "start": "36:12.52", - "stop": "36:13.64", - "speaker": "Tutor", - "dialogue": "I see one point here." - }, - { - "start": "36:13.72", - "stop": "36:19.28", - "speaker": "Tutor", - "dialogue": "That's a. What would let me go a little bit bigger." - }, - { - "start": "36:20.60", - "stop": "36:21.84", - "speaker": "Tutor", - "dialogue": "What would this red point?" - }, - { - "start": "36:23.24", - "stop": "36:30.24", - "speaker": "Tutor", - "dialogue": "What's the name of that red point preend like it's right on your fifty and one hour." - }, - { - "start": "36:33.44", - "stop": "36:34.88", - "speaker": "Student", - "dialogue": "The name of that red point, Yeah." - }, - { - "start": "36:39.88", - "stop": "36:40.24", - "speaker": "Tutor", - "dialogue": "Happening?" - }, - { - "start": "36:40.36", - "stop": "36:40.48", - "speaker": "Student", - "dialogue": "At." - }, - { - "start": "36:40.52", - "stop": "36:41.16", - "speaker": "Tutor", - "dialogue": "That red point." - }, - { - "start": "36:41.40", - "stop": "36:42.64", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "36:43.80", - "stop": "36:44.72", - "speaker": "Student", - "dialogue": "Zero miles an hour." - }, - { - "start": "36:45.76", - "stop": "36:46.08", - "speaker": "Tutor", - "dialogue": "Up here." - }, - { - "start": "36:47.56", - "stop": "36:52.28", - "speaker": "Student", - "dialogue": "Wait, oh, in one mile an hour, I mean fifty miles an." - }, - { - "start": "36:52.32", - "stop": "36:56.20", - "speaker": "Tutor", - "dialogue": "Hour, Yeah, it's going fifty miles an hour and it's right at one hour." - }, - { - "start": "36:57.48", - "stop": "36:57.52", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "37:00.16", - "stop": "37:00.20", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "37:00.32", - "stop": "37:01.20", - "speaker": "Student", - "dialogue": "Shall I draw on?" - }, - { - "start": "37:01.76", - "stop": "37:02.08", - "speaker": "Student", - "dialogue": "I don't." - }, - { - "start": "37:02.12", - "stop": "37:03.84", - "speaker": "Tutor", - "dialogue": "Know what does that mean now?" - }, - { - "start": "37:05.72", - "stop": "37:12.20", - "speaker": "Student", - "dialogue": "That it's just in in like zero mi, zero minutes." - }, - { - "start": "37:12.56", - "stop": "37:15.56", - "speaker": "Student", - "dialogue": "It went to zero miles an hour." - }, - { - "start": "37:16.92", - "stop": "37:23.00", - "speaker": "Tutor", - "dialogue": "So the car was traveling fifty miles an hour, and then it immediately went to zero miles an hour." - }, - { - "start": "37:24.56", - "stop": "37:25.00", - "speaker": "Student", - "dialogue": "I think so." - }, - { - "start": "37:25.32", - "stop": "37:29.24", - "speaker": "Tutor", - "dialogue": "Okay, and then for thirty minutes it goes nowhere." - }, - { - "start": "37:29.40", - "stop": "37:31.28", - "speaker": "Tutor", - "dialogue": "It stays at zero, zero miles an hour." - }, - { - "start": "37:31.80", - "stop": "37:33.56", - "speaker": "Tutor", - "dialogue": "Uhhuh, and then the car." - }, - { - "start": "37:34.40", - "stop": "37:35.24", - "speaker": "Tutor", - "dialogue": "What happens with it?" - }, - { - "start": "37:37.60", - "stop": "37:42.56", - "speaker": "Student", - "dialogue": "And the car goes fifty miles an hour again." - }, - { - "start": "37:46.48", - "stop": "37:46.52", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "37:46.76", - "stop": "37:47.48", - "speaker": "Student", - "dialogue": "Doesn't look light." - }, - { - "start": "37:47.68", - "stop": "37:49.52", - "speaker": "Student", - "dialogue": "This doesn't look right in my eyes." - }, - { - "start": "37:50.00", - "stop": "37:50.20", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "37:50.56", - "stop": "37:53.48", - "speaker": "Tutor", - "dialogue": "what's what is Um giving you like?" - }, - { - "start": "37:53.64", - "stop": "37:54.80", - "speaker": "Tutor", - "dialogue": "Oh, this doesn't look right." - }, - { - "start": "37:54.84", - "stop": "37:55.44", - "speaker": "Tutor", - "dialogue": "What dore you think of?" - }, - { - "start": "37:57.28", - "stop": "38:00.24", - "speaker": "Student", - "dialogue": "Um, it's just like there's." - }, - { - "start": "38:01.00", - "stop": "38:01.24", - "speaker": "Student", - "dialogue": "it's." - }, - { - "start": "38:04.80", - "stop": "38:05.20", - "speaker": "Student", - "dialogue": "I don't know." - }, - { - "start": "38:05.32", - "stop": "38:05.64", - "speaker": "Student", - "dialogue": "honestly." - }, - { - "start": "38:05.68", - "stop": "38:12.68", - "speaker": "Student", - "dialogue": "it's just that it goes from one hour to one hour, and it's like at one hour in two different places." - }, - { - "start": "38:13.16", - "stop": "38:13.40", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "38:13.68", - "stop": "38:22.24", - "speaker": "Tutor", - "dialogue": "So at one hour into the trip, can I be traveling fifty miles an hour, and forty miles an hour, and thirty, and twenty and ten and zero." - }, - { - "start": "38:23.24", - "stop": "38:23.28", - "speaker": "Student", - "dialogue": "N." - }, - { - "start": "38:28.12", - "stop": "38:31.28", - "speaker": "Tutor", - "dialogue": "So what happens when we moveif you?" - }, - { - "start": "38:33.68", - "stop": "38:41.68", - "speaker": "Tutor", - "dialogue": "This is what you had right beforeection of graph here and a section of graph here." - }, - { - "start": "38:42.12", - "stop": "38:43.28", - "speaker": "Tutor", - "dialogue": "Can graphs look like that?" - }, - { - "start": "38:43.80", - "stop": "38:45.60", - "speaker": "Tutor", - "dialogue": "Do they have to be all the way connected?" - }, - { - "start": "38:47.48", - "stop": "38:49.88", - "speaker": "Student", - "dialogue": "Um, well, probably." - }, - { - "start": "38:51.08", - "stop": "38:52.92", - "speaker": "Tutor", - "dialogue": "Because you've never seen graphs that look like this." - }, - { - "start": "38:53.64", - "stop": "38:54.24", - "speaker": "Student", - "dialogue": "Yeah, yeah." - }, - { - "start": "38:54.96", - "stop": "38:56.76", - "speaker": "Tutor", - "dialogue": "So graphs can actually look like this." - }, - { - "start": "38:57.56", - "stop": "39:02.04", - "speaker": "Tutor", - "dialogue": "They don't have to be connected for the very reason that you just described." - }, - { - "start": "39:02.64", - "stop": "39:14.12", - "speaker": "Tutor", - "dialogue": "In some situations, This doesn't having a connected graph doesn't make sense because you're saying that the car is traveling all of these speeds at the exact same time." - }, - { - "start": "39:15.60", - "stop": "39:16.16", - "speaker": "Student", - "dialogue": "Ok and?" - }, - { - "start": "39:16.28", - "stop": "39:17.48", - "speaker": "Tutor", - "dialogue": "It can't be doing that right." - }, - { - "start": "39:18.48", - "stop": "39:23.56", - "speaker": "Tutor", - "dialogue": "so when we get back to trying to label this too from A to B, the car is going fifty miles an hour." - }, - { - "start": "39:23.96", - "stop": "39:25.72", - "speaker": "Tutor", - "dialogue": "From B to C. the car is going" - }, - { - "start": "39:25.88", - "stop": "39:26.76", - "speaker": "Tutor", - "dialogue": "zero miles an hour." - }, - { - "start": "39:27.24", - "stop": "39:29.60", - "speaker": "Tutor", - "dialogue": "How fast is the car going at B?" - }, - { - "start": "39:32.80", - "stop": "39:33.32", - "speaker": "Student", - "dialogue": "Is at B?" - }, - { - "start": "39:33.68", - "stop": "39:35.08", - "speaker": "Tutor", - "dialogue": "Is it fifty or is it zero?" - }, - { - "start": "39:39.60", - "stop": "39:39.84", - "speaker": "Student", - "dialogue": "Zero." - }, - { - "start": "39:40.28", - "stop": "39:53.76", - "speaker": "Tutor", - "dialogue": "Okay, so if you say the car is going fifty miles an hour at zero, B would be here, and this point would be point C. What is this point called?" - }, - { - "start": "39:57.48", - "stop": "40:00.84", - "speaker": "Student", - "dialogue": "What O there is?" - }, - { - "start": "40:00.92", - "stop": "40:01.68", - "speaker": "Student", - "dialogue": "It also point B." - }, - { - "start": "40:02.04", - "stop": "40:12.60", - "speaker": "Tutor", - "dialogue": "Ah, it is, but we have you said that point B at point B, the car was going" - }, - { - "start": "40:12.72", - "stop": "40:16.08", - "speaker": "Tutor", - "dialogue": "zero miles an hour, So if at point B, the car is going" - }, - { - "start": "40:16.20", - "stop": "40:38.24", - "speaker": "Tutor", - "dialogue": "zero miles an hour, we would do a closed circle right here and everything, up to and infinitely close to B. but not including B. The car is going fifty miles an hour, so we can label point B at both spots, but we're choosing that it's included in one section and in the other section" - }, - { - "start": "40:38.40", - "stop": "40:42.52", - "speaker": "Tutor", - "dialogue": "it's everything infinitely close to it, but doesn't exactly equal it." - }, - { - "start": "40:43.84", - "stop": "40:44.08", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "40:44.92", - "stop": "40:46.84", - "speaker": "Tutor", - "dialogue": "These graphs have a special type of name." - }, - { - "start": "40:47.40", - "stop": "40:53.04", - "speaker": "Tutor", - "dialogue": "They're not connected like this, and they take care of situations like this where a change happens at a point." - }, - { - "start": "40:55.40", - "stop": "40:55.44", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "40:56.64", - "stop": "40:58.68", - "speaker": "Tutor", - "dialogue": "You might have heard the word peacewise." - }, - { - "start": "41:00.08", - "stop": "41:01.44", - "speaker": "Student", - "dialogue": "Have you ever peacewise a peace?" - }, - { - "start": "41:01.44", - "stop": "41:01.92", - "speaker": "Student", - "dialogue": "I don't think so." - }, - { - "start": "41:02.16", - "stop": "41:04.16", - "speaker": "Tutor", - "dialogue": "A peacewise graph or a peacewise function?" - }, - { - "start": "41:04.88", - "stop": "41:05.68", - "speaker": "Student", - "dialogue": "Ndinarily." - }, - { - "start": "41:05.96", - "stop": "41:06.24", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "41:06.40", - "stop": "41:09.16", - "speaker": "Tutor", - "dialogue": "That's what you just created was a peacewise graph." - }, - { - "start": "41:09.44", - "stop": "41:13.80", - "speaker": "Tutor", - "dialogue": "You have probably done a lot of work with linear graphs and quadratic graphs." - }, - { - "start": "41:14.56", - "stop": "41:15.84", - "speaker": "Tutor", - "dialogue": "Mhm, up until this point." - }, - { - "start": "41:17.48", - "stop": "41:17.52", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "41:17.72", - "stop": "41:21.52", - "speaker": "Tutor", - "dialogue": "Will start working more with piecewiseraphs which look like this." - }, - { - "start": "41:22.04", - "stop": "41:22.48", - "speaker": "Tutor", - "dialogue": "We don't?" - }, - { - "start": "41:22.60", - "stop": "41:25.20", - "speaker": "Tutor", - "dialogue": "you have sections where there's like a break in the graph." - }, - { - "start": "41:25.84", - "stop": "41:28.00", - "speaker": "Tutor", - "dialogue": "It doesn't have to always be connected." - }, - { - "start": "41:29.04", - "stop": "41:31.08", - "speaker": "Tutor", - "dialogue": "What is the same about graphs?" - }, - { - "start": "41:31.32", - "stop": "41:41.44", - "speaker": "Tutor", - "dialogue": "No matter what kind of graph it is, there are two things that are changing how they are changing in relation to each other." - }, - { - "start": "41:41.72", - "stop": "41:43.08", - "speaker": "Tutor", - "dialogue": "is what the graph describes." - }, - { - "start": "41:44.80", - "stop": "41:49.08", - "speaker": "Tutor", - "dialogue": "So trust yourself to create graphs as you get into higher and higher math." - }, - { - "start": "41:49.80", - "stop": "41:51.60", - "speaker": "Tutor", - "dialogue": "That may look a little bit funky." - }, - { - "start": "41:52.56", - "stop": "41:57.76", - "speaker": "Tutor", - "dialogue": "But does it demonstrate how these two things are changing in relation to each other?" - }, - { - "start": "41:57.92", - "stop": "41:58.08", - "speaker": "Tutor", - "dialogue": "Caause?" - }, - { - "start": "41:58.12", - "stop": "41:59.36", - "speaker": "Tutor", - "dialogue": "That's what a graph always does." - }, - { - "start": "41:59.48", - "stop": "42:00.76", - "speaker": "Tutor", - "dialogue": "It's about that relationship." - }, - { - "start": "42:01.60", - "stop": "42:01.64", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "42:02.12", - "stop": "42:04.88", - "speaker": "Tutor", - "dialogue": "Does that make sensell?" - }, - { - "start": "42:04.96", - "stop": "42:05.08", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "42:05.12", - "stop": "42:14.56", - "speaker": "Tutor", - "dialogue": "We're going to stop right there, and you know that you are also helping us test out this platform and this way of learning, So I would gve to hear a little bit about your experience." - }, - { - "start": "42:15.24", - "stop": "42:20.04", - "speaker": "Tutor", - "dialogue": "Um, First thing is, is there anything you feel like you've learned or are thinking differently about?" - }, - { - "start": "42:21.96", - "stop": "42:29.00", - "speaker": "Student", - "dialogue": "Um, I think I learned about pennywise graphs and functions, and also Um." - }, - { - "start": "42:31.76", - "stop": "42:31.80", - "speaker": "Tutor", - "dialogue": "To." - }, - { - "start": "42:32.00", - "stop": "42:37.72", - "speaker": "Student", - "dialogue": "Like expand on my thinking, since Um, I was only creating the graph based on what I already." - }, - { - "start": "42:38.04", - "stop": "42:44.16", - "speaker": "Student", - "dialogue": "based on what I already knew, and there is stuff that I didn't know that was being applied." - }, - { - "start": "42:45.24", - "stop": "42:49.80", - "speaker": "Tutor", - "dialogue": "Yeah, and that's why your brain was like Wait, Huh, Because you kept trying to draw back to graphs that you already knew." - }, - { - "start": "42:50.48", - "stop": "42:50.52", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "42:50.92", - "stop": "43:00.72", - "speaker": "Tutor", - "dialogue": "But the more complicated the situations get, the more bizarre the graphs will start to look, so always hold tight to that reasoning between, how are these two things related?" - }, - { - "start": "43:01.12", - "stop": "43:03.36", - "speaker": "Tutor", - "dialogue": "And does my graph show that relationship?" - }, - { - "start": "43:04.96", - "stop": "43:05.24", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "43:05.48", - "stop": "43:07.96", - "speaker": "Tutor", - "dialogue": "And I'm you, just called them pennywise, like from it." - }, - { - "start": "43:08.40", - "stop": "43:09.40", - "speaker": "Student", - "dialogue": "Oh, peacewise in't know I." - }, - { - "start": "43:09.48", - "stop": "43:11.64", - "speaker": "Tutor", - "dialogue": "Thought I' ever goning to have like the picture of the clown." - }, - { - "start": "43:11.76", - "stop": "43:15.80", - "speaker": "Tutor", - "dialogue": "Now, Wenever, I think of a peacewise function, Um." - }, - { - "start": "43:15.84", - "stop": "43:18.72", - "speaker": "Tutor", - "dialogue": "and they are kind of crazy and and scary like that." - }, - { - "start": "43:20.48", - "stop": "43:21.76", - "speaker": "Tutor", - "dialogue": "Um, What else?" - }, - { - "start": "43:21.92", - "stop": "43:25.40", - "speaker": "Tutor", - "dialogue": "what was helpful for you in this experience or so?" - }, - { - "start": "43:25.68", - "stop": "43:27.60", - "speaker": "Tutor", - "dialogue": "things that we should continue doing or things" - }, - { - "start": "43:27.68", - "stop": "43:30.84", - "speaker": "Tutor", - "dialogue": "we should think about changing or improving to help you more?" - }, - { - "start": "43:33.08", - "stop": "43:35.68", - "speaker": "Student", - "dialogue": "Um, all right, let me try to remember, I guess." - }, - { - "start": "43:43.00", - "stop": "43:43.04", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "43:43.12", - "stop": "43:43.32", - "speaker": "Student", - "dialogue": "Don't." - }, - { - "start": "43:43.36", - "stop": "43:43.52", - "speaker": "Tutor", - "dialogue": "Really?" - }, - { - "start": "43:43.56", - "stop": "43:46.32", - "speaker": "Student", - "dialogue": "Know honestly, it, it was awful for me to like draw." - }, - { - "start": "43:47.68", - "stop": "43:54.40", - "speaker": "Student", - "dialogue": "Like to envision what was what what I was thinking, and also to like envision the correlation." - }, - { - "start": "43:54.76", - "stop": "44:09.04", - "speaker": "Student", - "dialogue": "So when I drew the time and speed, I was like keeping in mind that correlation, but also like, um, kind of distracted me from actually drawing this graph 'cause I was thinking about this correlation instead of." - }, - { - "start": "44:11.36", - "stop": "44:11.40", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "44:11.68", - "stop": "44:15.40", - "speaker": "Student", - "dialogue": "The actual thing I was trying to correlate." - }, - { - "start": "44:15.92", - "stop": "44:21.84", - "speaker": "Tutor", - "dialogue": "No, always thinking about that relationship is great, and that's actually what created a need for a different type of graph." - }, - { - "start": "44:21.92", - "stop": "44:22.80", - "speaker": "Tutor", - "dialogue": "Because you're like, Wait." - }, - { - "start": "44:23.00", - "stop": "44:23.72", - "speaker": "Tutor", - "dialogue": "this doesn't work." - }, - { - "start": "44:24.20", - "stop": "44:25.64", - "speaker": "Tutor", - "dialogue": "Wait, this graph doesn't work." - }, - { - "start": "44:25.88", - "stop": "44:27.76", - "speaker": "Tutor", - "dialogue": "And that's exactly what happens when you're learning." - }, - { - "start": "44:27.92", - "stop": "44:34.04", - "speaker": "Tutor", - "dialogue": "Your brain tries to pull something that it already knows and make a connection to this new thing that it's trying to make sense of." - }, - { - "start": "44:35.44", - "stop": "44:36.48", - "speaker": "Tutor", - "dialogue": "So that was really cool." - }, - { - "start": "44:37.08", - "stop": "44:43.28", - "speaker": "Tutor", - "dialogue": "and when you said that you know, being able to draw out or envision your thinking always always do that." - }, - { - "start": "44:43.88", - "stop": "44:48.28", - "speaker": "Tutor", - "dialogue": "Sometimes in math classrooms we aren't as good at creating." - }, - { - "start": "44:48.56", - "stop": "44:53.40", - "speaker": "Tutor", - "dialogue": "When I say we teachers, we aren't as good at creating space for students to do that." - }, - { - "start": "44:53.76", - "stop": "45:11.20", - "speaker": "Tutor", - "dialogue": "So even if the teacher doesn't ask you to always think with pictures and labels on your own to be able to make sense of the abstract symbols and numbers and all the letters and crazy stuff going on, because when you know it, you have a picture that attaches to it, so continue doing that." - }, - { - "start": "45:11.40", - "stop": "45:11.64", - "speaker": "Tutor", - "dialogue": "okay." - }, - { - "start": "45:12.40", - "stop": "45:15.60", - "speaker": "Tutor", - "dialogue": "Okay, All right, cool, anything else that wuld be helpful for us to know." - }, - { - "start": "45:17.12", - "stop": "45:18.88", - "speaker": "Student", - "dialogue": "A, I'll think so awesome." - }, - { - "start": "45:19.12", - "stop": "45:21.80", - "speaker": "Tutor", - "dialogue": "Well, thank you so much for joining today, and for helping us out." - }, - { - "start": "45:22.56", - "stop": "45:26.04", - "speaker": "Tutor", - "dialogue": "And Um, you are an extremely powerful mathematical thinker." - }, - { - "start": "45:26.08", - "stop": "45:34.96", - "speaker": "Tutor", - "dialogue": "And what I greatly appreciate about you is your confidence to try something and stick with that muckiness of not knowing." - }, - { - "start": "45:35.44", - "stop": "45:37.24", - "speaker": "Tutor", - "dialogue": "that is really deep problem solving." - }, - { - "start": "45:37.48", - "stop": "45:39.32", - "speaker": "Tutor", - "dialogue": "You don't always have to have an answer quickly." - }, - { - "start": "45:40.00", - "stop": "45:45.16", - "speaker": "Tutor", - "dialogue": "true mathematical problem solving, learning and thinkingv, re must include that." - }, - { - "start": "45:45.48", - "stop": "45:47.24", - "speaker": "Tutor", - "dialogue": "Huh, wait, wait a minute." - }, - { - "start": "45:47.36", - "stop": "45:48.00", - "speaker": "Tutor", - "dialogue": "That doesn't work." - }, - { - "start": "45:48.36", - "stop": "45:50.24", - "speaker": "Tutor", - "dialogue": "That's awesome, so keep doing that okay." - }, - { - "start": "45:50.88", - "stop": "45:51.16", - "speaker": "Student", - "dialogue": "Thank you." - }, - { - "start": "45:51.64", - "stop": "45:52.88", - "speaker": "Tutor", - "dialogue": "All right, you have a great day." - } -] \ No newline at end of file diff --git a/data/amber/7212022AQ.json b/data/amber/7212022AQ.json deleted file mode 100644 index d3398cf..0000000 --- a/data/amber/7212022AQ.json +++ /dev/null @@ -1,2576 +0,0 @@ -[ - { - "start": "00:01.00", - "stop": "00:04.80", - "speaker": "Tutor", - "dialogue": "All right, are you able to see my mouse moving on the screen?" - }, - { - "start": "00:06.08", - "stop": "00:06.20", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "00:06.56", - "stop": "00:08.68", - "speaker": "Tutor", - "dialogue": "Can you see my arrow on the whiteboard?" - }, - { - "start": "00:09.16", - "stop": "00:09.64", - "speaker": "Student", - "dialogue": "I cannot." - }, - { - "start": "00:09.84", - "stop": "00:09.88", - "speaker": "Student", - "dialogue": "S." - }, - { - "start": "00:15.92", - "stop": "00:25.20", - "speaker": "Tutor", - "dialogue": "This, are you able to see that I just drew something." - }, - { - "start": "00:26.96", - "stop": "00:27.96", - "speaker": "Student", - "dialogue": "No, I cannot see it." - }, - { - "start": "00:31.36", - "stop": "00:33.04", - "speaker": "Tutor", - "dialogue": "Can you draw something on the board?" - }, - { - "start": "00:34.24", - "stop": "00:34.80", - "speaker": "Student", - "dialogue": "Okay, Su." - }, - { - "start": "00:39.64", - "stop": "00:39.80", - "speaker": "Tutor", - "dialogue": "Can?" - }, - { - "start": "00:39.88", - "stop": "00:41.68", - "speaker": "Student", - "dialogue": "You see what I just drew?" - }, - { - "start": "00:44.00", - "stop": "00:46.64", - "speaker": "Tutor", - "dialogue": "Um, I see like two lines." - }, - { - "start": "00:46.72", - "stop": "00:47.68", - "speaker": "Tutor", - "dialogue": "Did you draw two lines?" - }, - { - "start": "00:49.44", - "stop": "00:50.80", - "speaker": "Student", - "dialogue": "Yes, I drew two lines." - }, - { - "start": "00:52.48", - "stop": "00:54.60", - "speaker": "Tutor", - "dialogue": "Do you see something different on your screen now?" - }, - { - "start": "00:55.48", - "stop": "00:57.92", - "speaker": "Student", - "dialogue": "Yes, I see a diagram of your." - }, - { - "start": "00:58.48", - "stop": "01:00.24", - "speaker": "Student", - "dialogue": "Yeah, some scriples and your?" - }, - { - "start": "01:00.56", - "stop": "01:02.20", - "speaker": "Tutor", - "dialogue": "Arrow, you do see my arrow now." - }, - { - "start": "01:02.80", - "stop": "01:03.28", - "speaker": "Student", - "dialogue": "Yes, I do." - }, - { - "start": "01:03.72", - "stop": "01:04.48", - "speaker": "Tutor", - "dialogue": "Oh, perfect." - }, - { - "start": "01:04.88", - "stop": "01:08.60", - "speaker": "Tutor", - "dialogue": "Okay, do you see the tools on the left hand side of the screen?" - }, - { - "start": "01:10.80", - "stop": "01:10.96", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "01:11.76", - "stop": "01:13.60", - "speaker": "Tutor", - "dialogue": "All right, you already found the draw tool." - }, - { - "start": "01:14.04", - "stop": "01:18.24", - "speaker": "Tutor", - "dialogue": "Now we're going to practice erasing, So don't hit the trash can button." - }, - { - "start": "01:19.08", - "stop": "01:20.36", - "speaker": "Tutor", - "dialogue": "That will erase everything" - }, - { - "start": "01:20.44", - "stop": "01:22.80", - "speaker": "Tutor", - "dialogue": "And then we have no way of getting all of your work back." - }, - { - "start": "01:24.04", - "stop": "01:24.08", - "speaker": "Student", - "dialogue": "But" - }, - { - "start": "01:24.20", - "stop": "01:32.76", - "speaker": "Tutor", - "dialogue": "If you want to erase something you drew, you click with the top arrow to select what you want to erase or move." - }, - { - "start": "01:34.80", - "stop": "01:35.88", - "speaker": "Tutor", - "dialogue": "once it's selected." - }, - { - "start": "01:36.60", - "stop": "01:40.00", - "speaker": "Tutor", - "dialogue": "Then you can hit the arrow with an x in it on the tool bar." - }, - { - "start": "01:40.44", - "stop": "01:44.28", - "speaker": "Tutor", - "dialogue": "It's the second one from the bottom and it will erase what you have selected." - }, - { - "start": "01:45.76", - "stop": "01:46.24", - "speaker": "Tutor", - "dialogue": "Makes sense." - }, - { - "start": "01:47.20", - "stop": "01:49.64", - "speaker": "Tutor", - "dialogue": "Yes, and then there's also the text tool." - }, - { - "start": "01:49.92", - "stop": "02:02.92", - "speaker": "Tutor", - "dialogue": "If you would prefer to type rather than draw, and with any of the tools up on the top, you can change the color and size any questions on the tools." - }, - { - "start": "02:03.88", - "stop": "02:04.00", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "02:04.76", - "stop": "02:08.12", - "speaker": "Tutor", - "dialogue": "Oky, so a little bit about how we will interact together." - }, - { - "start": "02:08.68", - "stop": "02:10.72", - "speaker": "Tutor", - "dialogue": "I will ask you a lot of questions." - }, - { - "start": "02:11.44", - "stop": "02:21.00", - "speaker": "Tutor", - "dialogue": "And just because I ask you a question doesn't mean that you have something wrong, just means I want to know more about your thinking or hear how you are thinking about something." - }, - { - "start": "02:22.60", - "stop": "02:28.92", - "speaker": "Tutor", - "dialogue": "So as you're working, you know how sometimes there's like a quiet voice in your head whenever you're processing something." - }, - { - "start": "02:30.24", - "stop": "02:32.68", - "speaker": "Tutor", - "dialogue": "The more you can say that stuff out loud." - }, - { - "start": "02:33.32", - "stop": "02:40.16", - "speaker": "Tutor", - "dialogue": "Um, the more I'll understand how you're thinking and then be better able to understand where to go next." - }, - { - "start": "02:41.60", - "stop": "02:42.32", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "02:42.92", - "stop": "02:43.24", - "speaker": "Tutor", - "dialogue": "Yes, that." - }, - { - "start": "02:43.44", - "stop": "02:43.88", - "speaker": "Student", - "dialogue": "Make sense." - }, - { - "start": "02:44.12", - "stop": "02:46.96", - "speaker": "Tutor", - "dialogue": "All right, and then, also because I cannot see your face." - }, - { - "start": "02:47.68", - "stop": "02:56.64", - "speaker": "Tutor", - "dialogue": "Sometimes you may want more time to think about something, and I don't want to interrupt you whenever you're thinking by talking or saying more questions." - }, - { - "start": "02:57.24", - "stop": "03:01.64", - "speaker": "Tutor", - "dialogue": "So if I ask you something or were working and you're like, Oh, I don't know." - }, - { - "start": "03:01.84", - "stop": "03:02.72", - "speaker": "Tutor", - "dialogue": "I need some time." - }, - { - "start": "03:03.16", - "stop": "03:07.28", - "speaker": "Tutor", - "dialogue": "just verbalize that so that I know not to interrupt you to interrupt your." - }, - { - "start": "03:07.36", - "stop": "03:10.40", - "speaker": "Student", - "dialogue": "Thinking cool, Yes." - }, - { - "start": "03:10.68", - "stop": "03:15.44", - "speaker": "Tutor", - "dialogue": "All right, so now, I am going to change the screen and you said that you're able to see something different" - }, - { - "start": "03:15.48", - "stop": "03:24.80", - "speaker": "Tutor", - "dialogue": "here, Mhm, so take a minute to read and look over what the screen has, and then describe to me what you think is happening in this situation." - }, - { - "start": "03:34.24", - "stop": "03:41.24", - "speaker": "Student", - "dialogue": "Um, I think it's a route from New York, New Jersey to somewhere in New York City." - }, - { - "start": "03:42.36", - "stop": "03:45.88", - "speaker": "Tutor", - "dialogue": "Kay, where do you think we're going to start in this journey?" - }, - { - "start": "03:47.52", - "stop": "03:48.72", - "speaker": "Student", - "dialogue": "We're gonna start." - }, - { - "start": "03:50.32", - "stop": "03:50.36", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "03:53.52", - "stop": "03:54.04", - "speaker": "Student", - "dialogue": "Province." - }, - { - "start": "03:54.96", - "stop": "03:55.28", - "speaker": "Tutor", - "dialogue": "Rhode." - }, - { - "start": "03:55.36", - "stop": "03:55.72", - "speaker": "Student", - "dialogue": "Island." - }, - { - "start": "03:57.64", - "stop": "04:00.24", - "speaker": "Tutor", - "dialogue": "And then we'll drive, and where will we end up?" - }, - { - "start": "04:01.04", - "stop": "04:02.84", - "speaker": "Student", - "dialogue": "In Newark, New Jersey." - }, - { - "start": "04:03.72", - "stop": "04:07.36", - "speaker": "Tutor", - "dialogue": "What are some things you think that we could measure in this situation?" - }, - { - "start": "04:08.40", - "stop": "04:12.64", - "speaker": "Student", - "dialogue": "We can measure the our miles per hour." - }, - { - "start": "04:14.88", - "stop": "04:14.92", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "04:15.16", - "stop": "04:19.76", - "speaker": "Student", - "dialogue": "Amount of gas it will take for us to get there, Um?" - }, - { - "start": "04:22.48", - "stop": "04:22.64", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "04:23.40", - "stop": "04:28.72", - "speaker": "Student", - "dialogue": "Manyybe like days it will take for us to get there." - }, - { - "start": "04:28.84", - "stop": "04:31.28", - "speaker": "Student", - "dialogue": "I think no, I think it's hours it'll take for us get there." - }, - { - "start": "04:34.64", - "stop": "04:34.68", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "04:35.08", - "stop": "04:36.40", - "speaker": "Student", - "dialogue": "I think that's about it." - }, - { - "start": "04:37.44", - "stop": "04:50.40", - "speaker": "Tutor", - "dialogue": "So if we were measuring something in units of hours or days, what is that thing that's changing in this situation that we would be measuring?" - }, - { - "start": "04:53.28", - "stop": "04:56.60", - "speaker": "Student", - "dialogue": "Um, like how close we're getting to the final destination." - }, - { - "start": "04:57.24", - "stop": "05:03.36", - "speaker": "Tutor", - "dialogue": "Okay, and if we were measuring something in miles per hour as a unit, what would we?" - }, - { - "start": "05:03.68", - "stop": "05:05.56", - "speaker": "Tutor", - "dialogue": "What's the thing that we would be measuring?" - }, - { - "start": "05:06.88", - "stop": "05:12.68", - "speaker": "Student", - "dialogue": "Um, how many miles we have traveled or how many miles is left until we get to our final destination?" - }, - { - "start": "05:16.68", - "stop": "05:23.88", - "speaker": "Tutor", - "dialogue": "I am now going to uncover something and you take a minute to think about how it's similar or different to what you were thinking about." - }, - { - "start": "05:34.00", - "stop": "05:55.52", - "speaker": "Student", - "dialogue": "Um, so I think this means that we're getting further and we, We're travelling more miles with every hours that we spent driving, so after forty four hours of driving we have traveled a distance of a hundred and fifty miles." - }, - { - "start": "05:56.64", - "stop": "06:01.40", - "speaker": "Tutor", - "dialogue": "And how do you see the relationship between the map and the graph?" - }, - { - "start": "06:01.72", - "stop": "06:06.28", - "speaker": "Tutor", - "dialogue": "Can you use both of those to describe what's happening during each stage of the journey?" - }, - { - "start": "06:08.04", - "stop": "06:20.44", - "speaker": "Student", - "dialogue": "So, at the beginning with zero hours, W, Um, this means we're still at Providence, Rhode Island, and from zero hour to one hour, we're constantly driving." - }, - { - "start": "06:22.12", - "stop": "06:22.20", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "06:22.40", - "stop": "06:36.52", - "speaker": "Student", - "dialogue": "Driving and we have traveled fifty miles within those time from point B to point C. We're resting and not making any progress or moving from C to D. Um." - }, - { - "start": "06:37.32", - "stop": "06:53.52", - "speaker": "Student", - "dialogue": "The car is constantly traveling to our final destination and we've traveled a hundred miles in total from right now, and from D to E. there is some stops and there are some moves." - }, - { - "start": "06:53.96", - "stop": "07:01.44", - "speaker": "Student", - "dialogue": "so Um, we're getting closer and closer to our destination and that means we've spent more time and more miles traveling." - }, - { - "start": "07:03.88", - "stop": "07:07.96", - "speaker": "Tutor", - "dialogue": "Okay, how come from C to D?" - }, - { - "start": "07:08.24", - "stop": "07:15.84", - "speaker": "Tutor", - "dialogue": "For example, there is a straight line on the graph, and from D to E, there is this like bumpy line." - }, - { - "start": "07:16.12", - "stop": "07:17.20", - "speaker": "Tutor", - "dialogue": "What's going on there?" - }, - { - "start": "07:18.48", - "stop": "07:24.60", - "speaker": "Student", - "dialogue": "I think it's 'cause you're constantly stopping and then you're moving again and you're stopping and moving again." - }, - { - "start": "07:25.20", - "stop": "07:26.16", - "speaker": "Tutor", - "dialogue": "In which section?" - }, - { - "start": "07:27.40", - "stop": "07:35.40", - "speaker": "Student", - "dialogue": "From D two E, 'cause in C two D, you're constantly moving without any stops, and from Dtwo, E, you're probably making stops." - }, - { - "start": "07:35.68", - "stop": "07:37.84", - "speaker": "Student", - "dialogue": "That's why the lines are bumpy." - }, - { - "start": "07:39.04", - "stop": "07:40.88", - "speaker": "Tutor", - "dialogue": "Okay, so the line represents" - }, - { - "start": "07:41.04", - "stop": "07:46.92", - "speaker": "Tutor", - "dialogue": "if the movement of the car is constant, Mhm, or if the movement of the car is changing?" - }, - { - "start": "07:47.96", - "stop": "07:52.80", - "speaker": "Tutor", - "dialogue": "Yes, Okay, you talked about where some of these points might be." - }, - { - "start": "07:53.72", - "stop": "07:53.84", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "07:54.20", - "stop": "08:00.20", - "speaker": "Tutor", - "dialogue": "So can you label on the map where you think these letters would be?" - }, - { - "start": "08:03.48", - "stop": "08:09.88", - "speaker": "Student", - "dialogue": "Um, So from I, a we're are we're Are at our starting point." - }, - { - "start": "08:10.56", - "stop": "08:12.44", - "speaker": "Tutor", - "dialogue": "Cool, so use the Um tools." - }, - { - "start": "08:12.48", - "stop": "08:18.40", - "speaker": "Tutor", - "dialogue": "You can either use the textbox or the drawing tool Um, and label that on the map in a way that makes sense for you." - }, - { - "start": "08:54.08", - "stop": "08:54.68", - "speaker": "Student", - "dialogue": "I'm Gm" - }, - { - "start": "08:55.08", - "stop": "08:55.44", - "speaker": "Student", - "dialogue": "Cook." - }, - { - "start": "08:55.60", - "stop": "09:00.76", - "speaker": "Tutor", - "dialogue": "And I see the letters now actually take like a Me." - }, - { - "start": "09:00.84", - "stop": "09:03.28", - "speaker": "Tutor", - "dialogue": "Make a slightly bigger and a different color." - }, - { - "start": "09:04.92", - "stop": "09:10.00", - "speaker": "Tutor", - "dialogue": "So here is point B on the graph." - }, - { - "start": "09:10.12", - "stop": "09:13.92", - "speaker": "Tutor", - "dialogue": "For example, where would that point be on the map?" - }, - { - "start": "09:14.68", - "stop": "09:17.76", - "speaker": "Tutor", - "dialogue": "Can you use a a dot or an X or something to market?" - }, - { - "start": "09:17.88", - "stop": "09:19.32", - "speaker": "Tutor", - "dialogue": "Actually, where you see that point B." - }, - { - "start": "09:21.28", - "stop": "09:22.36", - "speaker": "Student", - "dialogue": "On the map, yes." - }, - { - "start": "09:26.08", - "stop": "09:28.72", - "speaker": "Tutor", - "dialogue": "Okay, where, and do the same thing with all the other letters." - }, - { - "start": "09:28.88", - "stop": "09:29.36", - "speaker": "Tutor", - "dialogue": "Where is a?" - }, - { - "start": "09:29.84", - "stop": "09:31.00", - "speaker": "Tutor", - "dialogue": "Where is C, and so on." - }, - { - "start": "09:45.08", - "stop": "09:46.24", - "speaker": "Student", - "dialogue": "Oka'm all right." - }, - { - "start": "09:46.32", - "stop": "09:49.44", - "speaker": "Tutor", - "dialogue": "And just making sure I understood you drew two xes right here." - }, - { - "start": "09:50.12", - "stop": "09:50.64", - "speaker": "Tutor", - "dialogue": "Why did you?" - }, - { - "start": "09:50.84", - "stop": "09:51.52", - "speaker": "Tutor", - "dialogue": "Why did you do that?" - }, - { - "start": "09:53.08", - "stop": "10:08.40", - "speaker": "Student", - "dialogue": "Because B and C are alying on the same Y interval, that means it's the same amount of distance travel, so there is like no change in your location." - }, - { - "start": "10:09.84", - "stop": "10:11.92", - "speaker": "Tutor", - "dialogue": "All right, so distance is staying the same." - }, - { - "start": "10:12.52", - "stop": "10:14.88", - "speaker": "Tutor", - "dialogue": "What is happening with time from B to C?" - }, - { - "start": "10:16.72", - "stop": "10:20.00", - "speaker": "Student", - "dialogue": "The time is still changing and." - }, - { - "start": "10:22.60", - "stop": "10:22.64", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "10:22.84", - "stop": "10:27.16", - "speaker": "Student", - "dialogue": "A constant paze, No, I. the time is just still moving." - }, - { - "start": "10:28.56", - "stop": "10:28.60", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "10:28.84", - "stop": "10:33.68", - "speaker": "Tutor", - "dialogue": "how can we tell if something is changing in a constant way or not a constant way?" - }, - { - "start": "10:35.16", - "stop": "10:38.80", - "speaker": "Student", - "dialogue": "You can try to find it's slow." - }, - { - "start": "10:42.00", - "stop": "10:42.04", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "10:42.48", - "stop": "10:43.88", - "speaker": "Student", - "dialogue": "If a line." - }, - { - "start": "10:45.88", - "stop": "10:46.00", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "10:46.20", - "stop": "10:59.16", - "speaker": "Student", - "dialogue": "If you take two points on a line and you find the slope of that point, If the rest of the point on a line also follows the same slope, then you know your line is constant." - }, - { - "start": "11:00.24", - "stop": "11:01.96", - "speaker": "Tutor", - "dialogue": "Okay, Ca, I'm sorry." - }, - { - "start": "11:02.04", - "stop": "11:02.40", - "speaker": "Tutor", - "dialogue": "Go ahead." - }, - { - "start": "11:03.72", - "stop": "11:05.12", - "speaker": "Student", - "dialogue": "Um, I think I'm done okay." - }, - { - "start": "11:05.40", - "stop": "11:17.60", - "speaker": "Tutor", - "dialogue": "Can you just look at a graph and without actually calculating the slope, can you be able to tell if something is changing in a constant way or not a constant way?" - }, - { - "start": "11:34.88", - "stop": "11:35.12", - "speaker": "Student", - "dialogue": "Yeahya." - }, - { - "start": "11:35.52", - "stop": "11:35.64", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "11:36.08", - "stop": "11:44.12", - "speaker": "Student", - "dialogue": "If maybe, if something is not in, like a straight line and in said is like the graph shown here." - }, - { - "start": "11:49.92", - "stop": "11:57.20", - "speaker": "Tutor", - "dialogue": "So is there anywhere on this graph that you see something as being representing a constant change?" - }, - { - "start": "12:01.72", - "stop": "12:02.84", - "speaker": "Student", - "dialogue": "So from?" - }, - { - "start": "12:11.28", - "stop": "12:11.56", - "speaker": "Tutor", - "dialogue": "Maybe." - }, - { - "start": "12:11.68", - "stop": "12:13.16", - "speaker": "Student", - "dialogue": "From A to B." - }, - { - "start": "12:15.24", - "stop": "12:15.28", - "speaker": "Tutor", - "dialogue": "Or?" - }, - { - "start": "12:15.48", - "stop": "12:16.04", - "speaker": "Student", - "dialogue": "B to C." - }, - { - "start": "12:18.68", - "stop": "12:21.64", - "speaker": "Tutor", - "dialogue": "And and what's constant from A to B?" - }, - { - "start": "12:21.88", - "stop": "12:23.12", - "speaker": "Tutor", - "dialogue": "Let's just look at that section." - }, - { - "start": "12:24.20", - "stop": "12:27.28", - "speaker": "Tutor", - "dialogue": "What's the thing that is constant from A to B?" - }, - { - "start": "12:29.48", - "stop": "12:32.68", - "speaker": "Student", - "dialogue": "The amount of miles we're traveling." - }, - { - "start": "12:37.08", - "stop": "12:41.20", - "speaker": "Tutor", - "dialogue": "Um, so from A to B are the miles, I'm gonna type" - }, - { - "start": "12:41.24", - "stop": "12:41.84", - "speaker": "Tutor", - "dialogue": "some words here." - }, - { - "start": "12:45.64", - "stop": "12:47.76", - "speaker": "Tutor", - "dialogue": "Re, put them here." - }, - { - "start": "12:50.00", - "stop": "13:13.00", - "speaker": "Tutor", - "dialogue": "and as we talk about the things in the situation and how they're changing, we challenge you to use these words, increasing, decreasing or staying the same, Though from A to B, what is happening with distance?" - }, - { - "start": "13:13.96", - "stop": "13:19.20", - "speaker": "Tutor", - "dialogue": "What is happening with time, and what is happening with anything else that you notice using those purple words?" - }, - { - "start": "13:20.72", - "stop": "13:25.84", - "speaker": "Student", - "dialogue": "So distance is increasing, while time is also increasing." - }, - { - "start": "13:26.88", - "stop": "13:28.76", - "speaker": "Tutor", - "dialogue": "And what is remaining constant?" - }, - { - "start": "13:30.00", - "stop": "13:32.04", - "speaker": "Tutor", - "dialogue": "So what is beaing the same from A to B?" - }, - { - "start": "13:32.84", - "stop": "13:34.08", - "speaker": "Student", - "dialogue": "The miles per hour." - }, - { - "start": "13:34.92", - "stop": "13:37.64", - "speaker": "Tutor", - "dialogue": "Ah, and what is miles per hour?" - }, - { - "start": "13:37.88", - "stop": "13:42.04", - "speaker": "Tutor", - "dialogue": "What is that keeping track of distance or time or something else?" - }, - { - "start": "13:43.36", - "stop": "13:44.52", - "speaker": "Student", - "dialogue": "It's our slope." - }, - { - "start": "13:45.52", - "stop": "13:51.36", - "speaker": "Tutor", - "dialogue": "It is our slope in this situation because it's the relationship between miles to ours." - }, - { - "start": "13:52.00", - "stop": "13:58.64", - "speaker": "Tutor", - "dialogue": "we could also call the variable or the thing that's changing the speed." - }, - { - "start": "14:04.16", - "stop": "14:04.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "14:04.40", - "stop": "14:15.20", - "speaker": "Tutor", - "dialogue": "The speed is a thing that we can keep track of in units of miles per hour, And it's the relationship between these two things that arechanging" - }, - { - "start": "14:16.28", - "stop": "14:22.12", - "speaker": "Tutor", - "dialogue": "And so from A to B, some things are changing and some things arech staying the same." - }, - { - "start": "14:23.56", - "stop": "14:38.28", - "speaker": "Tutor", - "dialogue": "You described distance and time as increasing while speed remains constant or stays the same, And you also recognize that speed is the slope of that section." - }, - { - "start": "14:39.12", - "stop": "14:42.04", - "speaker": "Tutor", - "dialogue": "So does that mean that we could calculate the speed from A to B?" - }, - { - "start": "14:44.32", - "stop": "14:44.72", - "speaker": "Student", - "dialogue": "I think." - }, - { - "start": "14:44.88", - "stop": "14:46.40", - "speaker": "Tutor", - "dialogue": "So what would the speed be?" - }, - { - "start": "14:49.08", - "stop": "14:50.48", - "speaker": "Student", - "dialogue": "Fifty miles per hour." - }, - { - "start": "14:51.96", - "stop": "14:53.80", - "speaker": "Tutor", - "dialogue": "Is the car going fifty miles per hour?" - }, - { - "start": "14:54.48", - "stop": "14:56.48", - "speaker": "Tutor", - "dialogue": "This entire section of the journey?" - }, - { - "start": "14:58.12", - "stop": "14:59.44", - "speaker": "Tutor", - "dialogue": "is the speed staying the same" - }, - { - "start": "14:59.56", - "stop": "15:02.92", - "speaker": "Tutor", - "dialogue": "this entire section of the journey, or is the speed changing?" - }, - { - "start": "15:07.76", - "stop": "15:10.28", - "speaker": "Student", - "dialogue": "I think the speed is same." - }, - { - "start": "15:10.52", - "stop": "15:12.48", - "speaker": "Tutor", - "dialogue": "Yeah, and that's what makes it constant." - }, - { - "start": "15:13.08", - "stop": "15:14.40", - "speaker": "Tutor", - "dialogue": "The speed is constant." - }, - { - "start": "15:14.52", - "stop": "15:20.92", - "speaker": "Tutor", - "dialogue": "It's at a constant rate of change, So you can, you might want to label that somewhere 'cause" - }, - { - "start": "15:20.92", - "stop": "15:23.80", - "speaker": "Tutor", - "dialogue": "we're going to come back to this idea of speed that you've started thinking about." - }, - { - "start": "15:24.44", - "stop": "15:31.00", - "speaker": "Tutor", - "dialogue": "So what do you know about speed from A to b, and label it in some way that makes sense for you." - }, - { - "start": "15:33.36", - "stop": "15:35.00", - "speaker": "Student", - "dialogue": "Do you have to label on the board?" - }, - { - "start": "15:35.68", - "stop": "15:42.20", - "speaker": "Tutor", - "dialogue": "Yeah, somewhere where I can also see how you're labeling, but you can choose where to label it." - }, - { - "start": "16:06.00", - "stop": "16:07.36", - "speaker": "Tutor", - "dialogue": "Did you like Lo A a restore?" - }, - { - "start": "16:08.48", - "stop": "16:10.40", - "speaker": "Student", - "dialogue": "Im typing in Ah." - }, - { - "start": "16:10.52", - "stop": "16:13.72", - "speaker": "Tutor", - "dialogue": "Okay, that's why I can't see it till you're done and you click off" - }, - { - "start": "16:23.40", - "stop": "16:26.20", - "speaker": "Tutor", - "dialogue": "And do you know what the speed is from A to B?" - }, - { - "start": "16:27.60", - "stop": "16:29.04", - "speaker": "Tutor", - "dialogue": "You know how fast the car's going." - }, - { - "start": "16:30.72", - "stop": "16:31.80", - "speaker": "Student", - "dialogue": "Fifty miles for an hour." - }, - { - "start": "16:32.04", - "stop": "16:44.92", - "speaker": "Tutor", - "dialogue": "Col, is the speed of the car staying the same for the whole journey, or is the speed changing?" - }, - { - "start": "16:45.60", - "stop": "16:46.68", - "speaker": "Student", - "dialogue": "The speed is changing." - }, - { - "start": "16:47.40", - "stop": "16:57.60", - "speaker": "Tutor", - "dialogue": "So now I want you to think through that, what is the speed at different sections of the journey and then label it in a way that you can keep track of those different speeds." - }, - { - "start": "17:52.76", - "stop": "17:53.08", - "speaker": "Tutor", - "dialogue": "thank you." - }, - { - "start": "18:20.00", - "stop": "18:21.64", - "speaker": "Student", - "dialogue": "Okay, I'm done cool." - }, - { - "start": "18:22.52", - "stop": "18:23.80", - "speaker": "Tutor", - "dialogue": "Yeah, not constant." - }, - { - "start": "18:23.96", - "stop": "18:32.60", - "speaker": "Tutor", - "dialogue": "Hard to tell from d d E. Huh, Could we figure out on average or an estimate of how fast the car is going from d d E?" - }, - { - "start": "18:34.40", - "stop": "18:39.76", - "speaker": "Student", - "dialogue": "May um, we cut estimate that it's also fifty miles per hour." - }, - { - "start": "18:41.28", - "stop": "18:43.60", - "speaker": "Tutor", - "dialogue": "And what would you be basing that estimate on?" - }, - { - "start": "18:45.44", - "stop": "18:56.40", - "speaker": "Student", - "dialogue": "Um, looking from all the other traveling time and just looking at the one hundred to one fifty, it's." - }, - { - "start": "18:57.60", - "stop": "18:57.80", - "speaker": "Tutor", - "dialogue": "It's" - }, - { - "start": "18:58.08", - "stop": "19:01.04", - "speaker": "Student", - "dialogue": "Um, kind of straight and kind of noton." - }, - { - "start": "19:01.24", - "stop": "19:08.92", - "speaker": "Student", - "dialogue": "So if we're to estimate, we could do fifty miles per hour, 'cause it looks similar to the other lines, other." - }, - { - "start": "19:09.04", - "stop": "19:16.44", - "speaker": "Tutor", - "dialogue": "Lines, okay, um, D to E is going to go just to that E point, and then we have another section" - }, - { - "start": "19:16.56", - "stop": "19:26.60", - "speaker": "Tutor", - "dialogue": "here E f, Can you um estimate or figure out the speed of the car from Eda F?" - }, - { - "start": "19:29.28", - "stop": "19:32.08", - "speaker": "Student", - "dialogue": "I was say it's ten miles per hour." - }, - { - "start": "19:32.64", - "stop": "19:34.16", - "speaker": "Tutor", - "dialogue": "And how are you coming up with that?" - }, - { - "start": "19:35.28", - "stop": "19:56.92", - "speaker": "Student", - "dialogue": "'cause each, 'cause we're going by tens on the white axes, and on, I think E, if we were to estimate, it's on a hundred and forty miles, and F is close to one hundred fifty, and if we subtracted one fifty, one, forty from one fifty, the'll be ten miles." - }, - { - "start": "19:57.64", - "stop": "20:00.12", - "speaker": "Tutor", - "dialogue": "Okay, so I'm going to capture what you said here." - }, - { - "start": "20:00.20", - "stop": "20:09.32", - "speaker": "Tutor", - "dialogue": "So from E to f, the distance is, is the distance increasing or decreasing or staying the same from E to F." - }, - { - "start": "20:09.56", - "stop": "20:10.96", - "speaker": "Student", - "dialogue": "It's increasing so." - }, - { - "start": "20:11.16", - "stop": "20:15.00", - "speaker": "Tutor", - "dialogue": "That distance is increasing by ten miles." - }, - { - "start": "20:15.76", - "stop": "20:16.56", - "speaker": "Tutor", - "dialogue": "Is that what you said?" - }, - { - "start": "20:18.04", - "stop": "20:18.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "20:18.72", - "stop": "20:21.44", - "speaker": "Tutor", - "dialogue": "Okay, what about time?" - }, - { - "start": "20:22.00", - "stop": "20:24.36", - "speaker": "Tutor", - "dialogue": "What can you say about time from E to F?" - }, - { - "start": "20:25.60", - "stop": "20:27.20", - "speaker": "Student", - "dialogue": "It is also increasing." - }, - { - "start": "20:28.56", - "stop": "20:29.28", - "speaker": "Tutor", - "dialogue": "By how much?" - }, - { - "start": "20:33.16", - "stop": "20:37.80", - "speaker": "Student", - "dialogue": "It's I will say less than thirty minutes." - }, - { - "start": "20:38.20", - "stop": "20:39.64", - "speaker": "Student", - "dialogue": "It's kind of hard to tell." - }, - { - "start": "20:40.28", - "stop": "20:42.76", - "speaker": "Tutor", - "dialogue": "Okay, So could we say about thirty minutes?" - }, - { - "start": "20:43.36", - "stop": "20:44.72", - "speaker": "Student", - "dialogue": "Yes, about?" - }, - { - "start": "20:44.80", - "stop": "20:45.80", - "speaker": "Tutor", - "dialogue": "Thirty minutesk." - }, - { - "start": "20:47.00", - "stop": "20:56.96", - "speaker": "Tutor", - "dialogue": "So if we know that the car is travelling a distance of ten miles in thirty minutes, can we use that information to calculate the speed?" - }, - { - "start": "21:00.12", - "stop": "21:01.44", - "speaker": "Tutor", - "dialogue": "Yes, how." - }, - { - "start": "21:03.60", - "stop": "21:04.16", - "speaker": "Student", - "dialogue": "Eli." - }, - { - "start": "21:07.16", - "stop": "21:07.36", - "speaker": "Tutor", - "dialogue": "Ten." - }, - { - "start": "21:07.60", - "stop": "21:09.92", - "speaker": "Student", - "dialogue": "Miles per half hour." - }, - { - "start": "21:12.32", - "stop": "21:32.52", - "speaker": "Tutor", - "dialogue": "Yup and speed is usually written as a unit relationship between how many miles in one hour, and that's why it's a unit of miles per hour." - }, - { - "start": "21:33.32", - "stop": "21:34.36", - "speaker": "Tutor", - "dialogue": "It's per one hour." - }, - { - "start": "21:35.52", - "stop": "21:45.36", - "speaker": "Tutor", - "dialogue": "So if the car is travelling ten miles in thirty minutes, how could we use that information to figure out how far the car has traveled in one hour?" - }, - { - "start": "21:47.08", - "stop": "21:52.88", - "speaker": "Student", - "dialogue": "If the speed was to remain constant, it' will be twenty miles per hour and." - }, - { - "start": "21:53.48", - "stop": "21:56.52", - "speaker": "Tutor", - "dialogue": "Is this line looking like the speed is going to remain constant?" - }, - { - "start": "21:57.88", - "stop": "21:58.00", - "speaker": "Tutor", - "dialogue": "Um?" - }, - { - "start": "21:58.96", - "stop": "21:59.12", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "21:59.48", - "stop": "22:00.16", - "speaker": "Tutor", - "dialogue": "Yeah, its like." - }, - { - "start": "22:00.28", - "stop": "22:03.12", - "speaker": "Tutor", - "dialogue": "it has a constant rate of change or a constant slope." - }, - { - "start": "22:03.48", - "stop": "22:15.36", - "speaker": "Tutor", - "dialogue": "So if we continue at that rate, then the car would be travelling twenty miles per hour at a constant speed from a F. so the speed would not." - }, - { - "start": "22:15.96", - "stop": "22:17.16", - "speaker": "Tutor", - "dialogue": "The speed would stay the same." - }, - { - "start": "22:18.84", - "stop": "22:19.64", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "22:20.68", - "stop": "22:21.16", - "speaker": "Student", - "dialogue": "Ifes." - }, - { - "start": "22:21.60", - "stop": "22:27.96", - "speaker": "Tutor", - "dialogue": "Oka, so now we're going to use this information and this cool thinking that you're doing about how are these things?" - }, - { - "start": "22:29.12", - "stop": "22:30.04", - "speaker": "Tutor", - "dialogue": "The are variables." - }, - { - "start": "22:30.16", - "stop": "22:31.08", - "speaker": "Tutor", - "dialogue": "How are they changing?" - }, - { - "start": "22:34.76", - "stop": "22:36.92", - "speaker": "Tutor", - "dialogue": "and how are they changing in relation to each other?" - }, - { - "start": "22:38.96", - "stop": "22:41.60", - "speaker": "Tutor", - "dialogue": "to be able to create a new graph." - }, - { - "start": "22:44.00", - "stop": "22:49.88", - "speaker": "Tutor", - "dialogue": "Now you're going to sketch a graph of the relationship between time and speed?" - }, - { - "start": "22:53.24", - "stop": "22:57.92", - "speaker": "Tutor", - "dialogue": "So you told me earlier, the car isn't going the same speed the whole journey." - }, - { - "start": "22:58.48", - "stop": "23:02.52", - "speaker": "Tutor", - "dialogue": "How can you show a graph to describe the relationship between those two things that?" - }, - { - "start": "23:06.76", - "stop": "23:06.80", - "speaker": "Student", - "dialogue": "Do" - }, - { - "start": "23:07.00", - "stop": "23:08.44", - "speaker": "Student", - "dialogue": "I traw on the graph?" - }, - { - "start": "23:08.84", - "stop": "23:09.00", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "25:16.40", - "stop": "25:18.00", - "speaker": "Tutor", - "dialogue": "You're doing such cool thinking" - }, - { - "start": "25:18.16", - "stop": "25:19.64", - "speaker": "Tutor", - "dialogue": "Now says awesome" - }, - { - "start": "25:20.52", - "stop": "25:22.84", - "speaker": "Tutor", - "dialogue": "The way you've tried something and your mind's like Wait." - }, - { - "start": "25:23.00", - "stop": "25:24.16", - "speaker": "Tutor", - "dialogue": "Maybe that doesn't work." - }, - { - "start": "25:24.40", - "stop": "25:25.08", - "speaker": "Tutor", - "dialogue": "Let me try this." - }, - { - "start": "25:25.84", - "stop": "25:26.72", - "speaker": "Tutor", - "dialogue": "That is awesome." - }, - { - "start": "25:26.84", - "stop": "25:27.52", - "speaker": "Tutor", - "dialogue": "problem solving." - }, - { - "start": "25:27.64", - "stop": "25:28.12", - "speaker": "Tutor", - "dialogue": "Keep doing." - }, - { - "start": "25:28.20", - "stop": "27:13.96", - "speaker": "Student", - "dialogue": "That I think I'm ying." - }, - { - "start": "27:14.96", - "stop": "27:20.00", - "speaker": "Tutor", - "dialogue": "Cool to help me understand how you were thinking about this." - }, - { - "start": "27:20.32", - "stop": "27:23.00", - "speaker": "Tutor", - "dialogue": "Can you put some labels on your axes" - }, - { - "start": "27:24.08", - "stop": "27:24.12", - "speaker": "Tutor", - "dialogue": "Like" - }, - { - "start": "27:24.36", - "stop": "27:26.96", - "speaker": "Tutor", - "dialogue": "What is what is this point here representing?" - }, - { - "start": "27:27.40", - "stop": "27:35.28", - "speaker": "Tutor", - "dialogue": "And then also we kind of had these landmarks along the way of a B, C, D and f. Where are those points on your graph?" - }, - { - "start": "27:37.28", - "stop": "27:39.52", - "speaker": "Tutor", - "dialogue": "Where are those parts of the journey on your graph?" - }, - { - "start": "29:32.92", - "stop": "29:35.32", - "speaker": "Tutor", - "dialogue": "Okay, let's stop right there just for a second." - }, - { - "start": "29:36.00", - "stop": "29:38.48", - "speaker": "Tutor", - "dialogue": "So you have point A and point B labeled." - }, - { - "start": "29:39.56", - "stop": "29:47.04", - "speaker": "Tutor", - "dialogue": "Tell me what's happening on your graph from point A to point B, and how that connects with the this graph and with the map." - }, - { - "start": "29:49.40", - "stop": "29:58.24", - "speaker": "Student", - "dialogue": "Um, so at zero ours, our speed is also zero, and as time is increasing." - }, - { - "start": "29:59.72", - "stop": "29:59.88", - "speaker": "Tutor", - "dialogue": "Our." - }, - { - "start": "30:00.52", - "stop": "30:02.40", - "speaker": "Student", - "dialogue": "Speed is also increasing so at B." - }, - { - "start": "30:04.44", - "stop": "30:04.56", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "30:04.68", - "stop": "30:05.68", - "speaker": "Student", - "dialogue": "It's we're go." - }, - { - "start": "30:05.92", - "stop": "30:19.48", - "speaker": "Student", - "dialogue": "We're travelling about fifty miles per hour, and the time has also increased, so I moved B to fifty, and to, I'm supposed to label here as one hour." - }, - { - "start": "30:20.00", - "stop": "30:27.32", - "speaker": "Tutor", - "dialogue": "Okay, so from A to B is the speed increasing, decreasing or staying the same?" - }, - { - "start": "30:28.40", - "stop": "30:29.28", - "speaker": "Student", - "dialogue": "It's increasing." - }, - { - "start": "30:30.28", - "stop": "30:39.76", - "speaker": "Tutor", - "dialogue": "Earlier, you told me the speed from A to B was constant, and that it was constant at fifty miles per hour." - }, - { - "start": "30:39.92", - "stop": "30:51.40", - "speaker": "Tutor", - "dialogue": "That entire section of the trip from A to B can it be both, can the speed be constant and be increasing?" - }, - { - "start": "30:53.52", - "stop": "30:54.32", - "speaker": "Student", - "dialogue": "M. yacause." - }, - { - "start": "30:54.40", - "stop": "30:57.16", - "speaker": "Student", - "dialogue": "it could be moving, could be increasing at a constant." - }, - { - "start": "30:57.32", - "stop": "31:11.48", - "speaker": "Tutor", - "dialogue": "Rate, does our graph here show that the car speed is increasing at a constant rate, or that the speed is staying the same and distance and time are increasing at a constant?" - }, - { - "start": "31:13.20", - "stop": "31:15.80", - "speaker": "Student", - "dialogue": "Oh, so the speed is staying on A?" - }, - { - "start": "31:17.80", - "stop": "31:25.68", - "speaker": "Tutor", - "dialogue": "So if the speed is staying at a constant rate of fifty miles an hour from A to B, does your graph show that?" - }, - { - "start": "31:29.76", - "stop": "31:29.80", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "31:31.44", - "stop": "31:31.56", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "31:33.48", - "stop": "31:33.60", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "31:33.80", - "stop": "31:35.36", - "speaker": "Tutor", - "dialogue": "Means, I'm not sure." - }, - { - "start": "31:35.64", - "stop": "31:36.28", - "speaker": "Tutor", - "dialogue": "Are you saying no?" - }, - { - "start": "31:36.36", - "stop": "31:39.60", - "speaker": "Tutor", - "dialogue": "My graph isn't showing that, or I'm not sure if my graph is showing that." - }, - { - "start": "31:40.44", - "stop": "31:41.20", - "speaker": "Student", - "dialogue": "I'm sure." - }, - { - "start": "31:41.48", - "stop": "31:43.16", - "speaker": "Tutor", - "dialogue": "Cool, so let's investigate some more." - }, - { - "start": "31:44.92", - "stop": "31:45.92", - "speaker": "Tutor", - "dialogue": "If we use." - }, - { - "start": "31:46.08", - "stop": "31:48.92", - "speaker": "Tutor", - "dialogue": "I'm going to go a little bigg on the dot right here." - }, - { - "start": "31:51.08", - "stop": "31:52.88", - "speaker": "Tutor", - "dialogue": "Where would we be in our journey?" - }, - { - "start": "31:53.16", - "stop": "31:57.20", - "speaker": "Tutor", - "dialogue": "And how do you know Itu will be?" - }, - { - "start": "31:58.04", - "stop": "31:59.28", - "speaker": "Student", - "dialogue": "Somewhere between." - }, - { - "start": "32:01.04", - "stop": "32:01.08", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "32:02.48", - "stop": "32:02.76", - "speaker": "Student", - "dialogue": "Five." - }, - { - "start": "32:03.00", - "stop": "32:03.04", - "speaker": "Tutor", - "dialogue": "Like." - }, - { - "start": "32:03.32", - "stop": "32:06.20", - "speaker": "Student", - "dialogue": "Thirty minutes into traveling, okay?" - }, - { - "start": "32:06.32", - "stop": "32:10.88", - "speaker": "Tutor", - "dialogue": "So about thirty minutes into traveling, uhhuh would be about right here." - }, - { - "start": "32:13.32", - "stop": "32:13.48", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "32:13.72", - "stop": "32:15.28", - "speaker": "Tutor", - "dialogue": "And thirty minutes into traveling." - }, - { - "start": "32:15.44", - "stop": "32:17.52", - "speaker": "Tutor", - "dialogue": "How fast is the car going from A to B?" - }, - { - "start": "32:18.84", - "stop": "32:19.56", - "speaker": "Student", - "dialogue": "Fifty miles." - }, - { - "start": "32:21.48", - "stop": "32:24.28", - "speaker": "Tutor", - "dialogue": "Does your graph show the car going fifty miles per hour?" - }, - { - "start": "32:24.48", - "stop": "32:25.60", - "speaker": "Tutor", - "dialogue": "thirty minutes into the journey?" - }, - { - "start": "32:36.16", - "stop": "32:37.00", - "speaker": "Student", - "dialogue": "Um, no." - }, - { - "start": "32:40.32", - "stop": "32:53.08", - "speaker": "Tutor", - "dialogue": "So this is just like whenever we're writing or we're creating an art project or something, Math is the same way you made a rough draft of your thinking, And now it sounds like you want to revise some of your thinking." - }, - { - "start": "32:53.84", - "stop": "32:55.08", - "speaker": "Tutor", - "dialogue": "Is it Ok to do that math?" - }, - { - "start": "32:56.28", - "stop": "32:56.64", - "speaker": "Student", - "dialogue": "I think." - }, - { - "start": "32:57.20", - "stop": "33:03.52", - "speaker": "Tutor", - "dialogue": "Well, absolutely yes, at any point, if you want to revise or change your mind, go for it." - }, - { - "start": "33:06.76", - "stop": "33:14.40", - "speaker": "Tutor", - "dialogue": "so how can you show the car going fifty miles an hour, the entire section of the trip from Adaby?" - }, - { - "start": "33:20.44", - "stop": "33:24.44", - "speaker": "Student", - "dialogue": "I would just draw a straight line starting at fifty." - }, - { - "start": "33:26.16", - "stop": "33:26.80", - "speaker": "Tutor", - "dialogue": "So go for it." - }, - { - "start": "33:26.92", - "stop": "33:27.36", - "speaker": "Tutor", - "dialogue": "Revise it." - }, - { - "start": "33:27.52", - "stop": "33:30.76", - "speaker": "Tutor", - "dialogue": "however you want to for this next draft." - }, - { - "start": "33:47.00", - "stop": "33:48.48", - "speaker": "Tutor", - "dialogue": "Oh, its kind of bad for you, too." - }, - { - "start": "33:50.28", - "stop": "33:50.52", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "33:50.68", - "stop": "33:50.92", - "speaker": "Tutor", - "dialogue": "thank you." - }, - { - "start": "35:36.88", - "stop": "35:37.16", - "speaker": "Tutor", - "dialogue": "cool." - }, - { - "start": "35:37.36", - "stop": "35:38.32", - "speaker": "Tutor", - "dialogue": "K. stop for a second." - }, - { - "start": "35:38.72", - "stop": "35:40.16", - "speaker": "Tutor", - "dialogue": "talk me through what you have here." - }, - { - "start": "35:40.28", - "stop": "35:41.76", - "speaker": "Tutor", - "dialogue": "Now, what's going on in your graph?" - }, - { - "start": "35:41.80", - "stop": "35:43.96", - "speaker": "Tutor", - "dialogue": "And how does it relate to what's going on in the journey?" - }, - { - "start": "35:47.68", - "stop": "35:48.40", - "speaker": "Student", - "dialogue": "So from?" - }, - { - "start": "35:50.32", - "stop": "35:50.44", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "35:50.88", - "stop": "36:02.68", - "speaker": "Student", - "dialogue": "A is at zero hours, and to go from A to B, we're traveling fifteen miles per hour, and then to get from." - }, - { - "start": "36:03.96", - "stop": "36:04.00", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "36:04.28", - "stop": "36:07.40", - "speaker": "Student", - "dialogue": "To C, we're traveling zero miles per hour." - }, - { - "start": "36:07.56", - "stop": "36:10.56", - "speaker": "Student", - "dialogue": "That's why the thing is directly on the line." - }, - { - "start": "36:12.40", - "stop": "36:15.88", - "speaker": "Tutor", - "dialogue": "And I notice that there's nothing connecting these two lines." - }, - { - "start": "36:16.64", - "stop": "36:18.64", - "speaker": "Tutor", - "dialogue": "Is it okay to have graphs that look like that?" - }, - { - "start": "36:21.12", - "stop": "36:21.68", - "speaker": "Student", - "dialogue": "I think so." - }, - { - "start": "36:22.40", - "stop": "36:28.84", - "speaker": "Tutor", - "dialogue": "Yeah, have you ever seen graphs that look like that that don't connect, but they have different sections of them?" - }, - { - "start": "36:31.56", - "stop": "36:31.72", - "speaker": "Student", - "dialogue": "Did?" - }, - { - "start": "36:31.76", - "stop": "36:31.80", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "36:31.92", - "stop": "36:32.52", - "speaker": "Student", - "dialogue": "Sy, um." - }, - { - "start": "36:34.60", - "stop": "36:34.88", - "speaker": "Tutor", - "dialogue": "Maybe." - }, - { - "start": "36:35.04", - "stop": "36:40.00", - "speaker": "Student", - "dialogue": "Not because I've seen ones A are horizontal and like they're not connected." - }, - { - "start": "36:40.56", - "stop": "36:44.64", - "speaker": "Tutor", - "dialogue": "Yeah, do you remember what the name of those graphs that are horizontal and not connected are called?" - }, - { - "start": "36:47.12", - "stop": "36:47.44", - "speaker": "Student", - "dialogue": "No, I." - }, - { - "start": "36:47.64", - "stop": "36:53.28", - "speaker": "Tutor", - "dialogue": "Forgot they're called a piecewise graph or a piecewise function." - }, - { - "start": "36:54.12", - "stop": "36:58.60", - "speaker": "Tutor", - "dialogue": "Yeah, and seeing them vertically like this probably is like what." - }, - { - "start": "36:58.92", - "stop": "37:08.52", - "speaker": "Tutor", - "dialogue": "I haven't seen them like this before, but you're describing the relationship with time here and speed here, and how they're related together, So yeah, it's perfectly acceptable." - }, - { - "start": "37:09.36", - "stop": "37:13.72", - "speaker": "Tutor", - "dialogue": "This graph describes the relationship that is represented in this situation." - }, - { - "start": "37:14.48", - "stop": "37:22.72", - "speaker": "Tutor", - "dialogue": "I do have a follow up question for you, though, Is it Ok to have B at two different points on the graph?" - }, - { - "start": "37:27.04", - "stop": "37:27.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "37:29.28", - "stop": "37:42.72", - "speaker": "Tutor", - "dialogue": "So at B, is the car going fifty miles an hour, or is the car going zero miles an hour, or is it going both fifty and zero at the same time?" - }, - { - "start": "37:45.60", - "stop": "37:45.80", - "speaker": "Student", - "dialogue": "Oh" - }, - { - "start": "37:45.96", - "stop": "37:46.00", - "speaker": "Student", - "dialogue": "so?" - }, - { - "start": "37:48.84", - "stop": "37:48.88", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "37:49.16", - "stop": "37:49.68", - "speaker": "Student", - "dialogue": "Maybe nor." - }, - { - "start": "37:50.84", - "stop": "37:52.36", - "speaker": "Tutor", - "dialogue": "So what do you think is happening at Be?" - }, - { - "start": "37:52.88", - "stop": "37:56.96", - "speaker": "Tutor", - "dialogue": "is the car going fifty miles an hour, or is the car going zero miles an hour?" - }, - { - "start": "38:02.88", - "stop": "38:06.60", - "speaker": "Student", - "dialogue": "If we're starting at B, then we're going zero miles per hour, but." - }, - { - "start": "38:07.88", - "stop": "38:07.92", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "38:08.08", - "stop": "38:19.84", - "speaker": "Student", - "dialogue": "B, from Um, A to B, we're going fifty miles puur, because we're starting at A and we're going to B, and from B to C, we're going zero miles hour, so I would say B is going zero." - }, - { - "start": "38:19.96", - "stop": "38:20.60", - "speaker": "Tutor", - "dialogue": "Miles an hour." - }, - { - "start": "38:21.04", - "stop": "38:37.52", - "speaker": "Tutor", - "dialogue": "Okay, so if you're saying I think the car is going zero miles an hour at B, the way that you could show that symbolically is with a closed circle, and if you're saying the car is going fifty miles an hour from" - }, - { - "start": "38:37.76", - "stop": "38:51.84", - "speaker": "Tutor", - "dialogue": "A all the way to infinitely close to B, but not including B, then you would do it as a open circle, and that lets us know at this exact point" - }, - { - "start": "38:51.92", - "stop": "38:52.24", - "speaker": "Tutor", - "dialogue": "in time" - }, - { - "start": "38:52.28", - "stop": "38:56.68", - "speaker": "Tutor", - "dialogue": "when the car is at B. it is going zero miles an hour." - }, - { - "start": "38:57.64", - "stop": "39:03.08", - "speaker": "Tutor", - "dialogue": "Just before that it's going fifty miles an hourse." - }, - { - "start": "39:03.12", - "stop": "39:03.24", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "39:03.32", - "stop": "39:03.88", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "39:04.80", - "stop": "39:04.96", - "speaker": "Tutor", - "dialogue": "now." - }, - { - "start": "39:05.76", - "stop": "39:14.24", - "speaker": "Tutor", - "dialogue": "In reality, this is also saying that a car goes from fifty miles an hour to zero instantly in this real life situation" - }, - { - "start": "39:14.36", - "stop": "39:15.04", - "speaker": "Tutor", - "dialogue": "Does that happen?" - }, - { - "start": "39:16.40", - "stop": "39:21.16", - "speaker": "Tutor", - "dialogue": "No, No, So there would be more to it to make a more accurate graph." - }, - { - "start": "39:21.24", - "stop": "39:39.20", - "speaker": "Tutor", - "dialogue": "But as far as a sketch of what's going on between these two situations, this mathematically makes sense, it also assumes is the car starting at zero miles an hour, or is the car already traveling fifty miles an hour at the beginning of the journey?" - }, - { - "start": "39:40.32", - "stop": "39:42.80", - "speaker": "Student", - "dialogue": "It's assuming I' traveling fifty miles from." - }, - { - "start": "39:43.56", - "stop": "39:50.12", - "speaker": "Tutor", - "dialogue": "Yeah, it's like it's already coming from somewhere else at fifty, and then as it goes through Providence, it's already going fifty." - }, - { - "start": "39:51.80", - "stop": "39:52.08", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "39:52.44", - "stop": "39:56.72", - "speaker": "Tutor", - "dialogue": "All right, where do you think Um, d, E and F would be?" - }, - { - "start": "40:00.52", - "stop": "40:02.16", - "speaker": "Student", - "dialogue": "On the gra on des graph." - }, - { - "start": "40:02.36", - "stop": "40:03.60", - "speaker": "Tutor", - "dialogue": "Yeah, the one that you're creating." - }, - { - "start": "40:06.72", - "stop": "40:06.84", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "40:08.28", - "stop": "40:08.52", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "40:10.64", - "stop": "40:10.68", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "40:11.04", - "stop": "40:11.08", - "speaker": "Tutor", - "dialogue": "To." - }, - { - "start": "40:11.32", - "stop": "40:12.12", - "speaker": "Student", - "dialogue": "D, it will." - }, - { - "start": "40:13.76", - "stop": "40:13.88", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "40:14.04", - "stop": "40:15.68", - "speaker": "Student", - "dialogue": "Be smwhere like here." - }, - { - "start": "40:26.00", - "stop": "40:26.24", - "speaker": "Tutor", - "dialogue": "Here." - }, - { - "start": "42:47.84", - "stop": "42:48.04", - "speaker": "Student", - "dialogue": "I'm" - }, - { - "start": "42:48.20", - "stop": "42:48.48", - "speaker": "Tutor", - "dialogue": "Thinking." - }, - { - "start": "42:48.68", - "stop": "42:49.00", - "speaker": "Student", - "dialogue": "Gung." - }, - { - "start": "42:50.32", - "stop": "42:55.12", - "speaker": "Tutor", - "dialogue": "Cool and then you would have to go back and decide where would C. be?" - }, - { - "start": "42:56.00", - "stop": "42:57.36", - "speaker": "Tutor", - "dialogue": "Is it here or is it here?" - }, - { - "start": "42:58.16", - "stop": "42:58.84", - "speaker": "Tutor", - "dialogue": "Which one would?" - }, - { - "start": "42:59.00", - "stop": "42:59.76", - "speaker": "Tutor", - "dialogue": "does it include?" - }, - { - "start": "42:59.96", - "stop": "43:00.76", - "speaker": "Tutor", - "dialogue": "which one does it?" - }, - { - "start": "43:00.88", - "stop": "43:00.92", - "speaker": "Tutor", - "dialogue": "Not?" - }, - { - "start": "43:01.24", - "stop": "43:02.56", - "speaker": "Tutor", - "dialogue": "You don't have to do that right now." - }, - { - "start": "43:02.88", - "stop": "43:09.96", - "speaker": "Tutor", - "dialogue": "It's okay, but to complete that you would have to finish the peace wise of determining where are these points." - }, - { - "start": "43:12.72", - "stop": "43:17.48", - "speaker": "Tutor", - "dialogue": "Um, and we're about out of time for today, So I would you know that we're help." - }, - { - "start": "43:17.68", - "stop": "43:24.28", - "speaker": "Tutor", - "dialogue": "You are helping us learn what this experience is like for students this way of learning this platform." - }, - { - "start": "43:24.44", - "stop": "43:28.08", - "speaker": "Tutor", - "dialogue": "So I would love to hear your voice about that." - }, - { - "start": "43:28.84", - "stop": "43:35.04", - "speaker": "Tutor", - "dialogue": "So um, first thing is, do you feel like you learned anything or are thinking differently about anything?" - }, - { - "start": "43:37.04", - "stop": "43:38.80", - "speaker": "Student", - "dialogue": "I think I did learn something." - }, - { - "start": "43:39.16", - "stop": "43:41.36", - "speaker": "Student", - "dialogue": "Um, so I learned that." - }, - { - "start": "43:42.76", - "stop": "43:42.80", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "43:43.08", - "stop": "43:58.36", - "speaker": "Student", - "dialogue": "Speed can be constant, Um, but like the distance and the time can be like changing, and that piece wise functions can be vertical, and that you have, you don't have always have to connect." - }, - { - "start": "43:59.32", - "stop": "43:59.56", - "speaker": "Tutor", - "dialogue": "Things." - }, - { - "start": "43:59.72", - "stop": "44:00.08", - "speaker": "Student", - "dialogue": "Together." - }, - { - "start": "44:04.28", - "stop": "44:18.96", - "speaker": "Tutor", - "dialogue": "Quick, also, what are some things that was helpful for you in this experience or things that were less helpful or we should consider changing to make it better?" - }, - { - "start": "44:21.60", - "stop": "44:25.88", - "speaker": "Student", - "dialogue": "So like it was kind of hard to erase things." - }, - { - "start": "44:25.96", - "stop": "44:36.80", - "speaker": "Student", - "dialogue": "W. You have to like, Switch to the mouse, the mouse, Um function, and then you have to click the x. I F. Like having eraser W, willld definitely be easier." - }, - { - "start": "44:38.00", - "stop": "44:43.04", - "speaker": "Student", - "dialogue": "and Um, I feel like a ruler function will be easier when like drawing straight lines." - }, - { - "start": "44:44.04", - "stop": "44:44.56", - "speaker": "Student", - "dialogue": "Ah, but." - }, - { - "start": "44:45.60", - "stop": "44:46.04", - "speaker": "Tutor", - "dialogue": "Helpful." - }, - { - "start": "44:49.00", - "stop": "44:56.52", - "speaker": "Student", - "dialogue": "And I' like just um, getting to have someone to talk to while you work, and someone to like, Do we?" - }, - { - "start": "44:56.80", - "stop": "44:59.88", - "speaker": "Student", - "dialogue": "Because you guys can work on the same page." - }, - { - "start": "45:00.76", - "stop": "45:02.44", - "speaker": "Student", - "dialogue": "That makes things a lot more helpful." - }, - { - "start": "45:03.68", - "stop": "45:08.84", - "speaker": "Tutor", - "dialogue": "Yeah, so the fact that you can see my arrow, I can see yours and we can see each other riding." - }, - { - "start": "45:09.92", - "stop": "45:10.20", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "45:10.36", - "stop": "45:11.12", - "speaker": "Tutor", - "dialogue": "That's helpful to you." - }, - { - "start": "45:11.96", - "stop": "45:23.68", - "speaker": "Tutor", - "dialogue": "Yes, Yeah, and I agree that eraser tool isn't as user friendly, especially if there's a lot of things we want to erase, Because problem solving involves us." - }, - { - "start": "45:24.08", - "stop": "45:26.08", - "speaker": "Tutor", - "dialogue": "we get to change our mind and we get to edit." - }, - { - "start": "45:27.44", - "stop": "45:27.64", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "45:28.08", - "stop": "45:28.36", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "45:28.44", - "stop": "45:29.44", - "speaker": "Tutor", - "dialogue": "that's helpful feedback." - }, - { - "start": "45:29.88", - "stop": "45:32.68", - "speaker": "Tutor", - "dialogue": "So Yes, graphs can look all sorts of different ways." - }, - { - "start": "45:33.80", - "stop": "45:36.40", - "speaker": "Tutor", - "dialogue": "Trust yourself to think about." - }, - { - "start": "45:37.28", - "stop": "45:40.24", - "speaker": "Tutor", - "dialogue": "what are the things that are changing in the situation?" - }, - { - "start": "45:41.64", - "stop": "45:44.24", - "speaker": "Tutor", - "dialogue": "Are they increasing, decreasing or staying the same?" - }, - { - "start": "45:45.04", - "stop": "45:48.12", - "speaker": "Tutor", - "dialogue": "And then how are they changing in relation to each other?" - }, - { - "start": "45:48.52", - "stop": "45:59.88", - "speaker": "Tutor", - "dialogue": "And how do I show that in here you did a really good job of thinking through that and allowing yourself the permission to change your mind." - }, - { - "start": "46:00.48", - "stop": "46:02.80", - "speaker": "Tutor", - "dialogue": "You're a really powerful mathematical thinker." - }, - { - "start": "46:03.76", - "stop": "46:05.52", - "speaker": "Tutor", - "dialogue": "Continue doing those things okay." - }, - { - "start": "46:06.80", - "stop": "46:06.96", - "speaker": "Student", - "dialogue": "Thank." - } -] \ No newline at end of file diff --git a/data/amber/JH.json b/data/amber/JH.json deleted file mode 100644 index 222619a..0000000 --- a/data/amber/JH.json +++ /dev/null @@ -1,7580 +0,0 @@ -[ - { - "start": "00:00.48", - "stop": "00:00.72", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "00:00.88", - "stop": "00:01.76", - "speaker": "Student", - "dialogue": "We're recording now." - }, - { - "start": "00:02.08", - "stop": "00:03.40", - "speaker": "Student", - "dialogue": "Can you still see the map?" - }, - { - "start": "00:04.12", - "stop": "00:04.16", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "00:05.12", - "stop": "00:05.48", - "speaker": "Student", - "dialogue": "Perfect," - }, - { - "start": "00:05.80", - "stop": "00:08.52", - "speaker": "Student", - "dialogue": "Can you see my um cursor when I'm moving it around?" - }, - { - "start": "00:09.32", - "stop": "00:09.48", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "00:09.80", - "stop": "00:12.04", - "speaker": "Student", - "dialogue": "Try moving your so I can make sure I can see you too." - }, - { - "start": "00:12.88", - "stop": "00:13.24", - "speaker": "Student", - "dialogue": "Perfect." - }, - { - "start": "00:14.32", - "stop": "00:14.56", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "00:14.80", - "stop": "00:18.64", - "speaker": "Student", - "dialogue": "So now I'm going to start um asking you some questions and I'm goning to think about some maths together." - }, - { - "start": "00:18.84", - "stop": "00:19.32", - "speaker": "Student", - "dialogue": "Sound good." - }, - { - "start": "00:20.08", - "stop": "00:20.12", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "00:21.92", - "stop": "00:32.52", - "speaker": "Student", - "dialogue": "Take a second to read what you see on the screen and look at the map and think about some things that you might be able to measure in this situation." - }, - { - "start": "00:39.56", - "stop": "00:39.68", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "00:39.76", - "stop": "00:40.12", - "speaker": "Tutor", - "dialogue": "It's a." - }, - { - "start": "00:40.48", - "stop": "00:41.28", - "speaker": "Tutor", - "dialogue": "It's telling me that," - }, - { - "start": "00:41.68", - "stop": "00:41.80", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "00:41.92", - "stop": "00:46.16", - "speaker": "Tutor", - "dialogue": "It's a map measuring from Providence to New York City." - }, - { - "start": "00:46.84", - "stop": "00:47.12", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "00:47.36", - "stop": "00:51.04", - "speaker": "Student", - "dialogue": "So if it's measuring from Providence to Newark," - }, - { - "start": "00:51.52", - "stop": "00:52.72", - "speaker": "Student", - "dialogue": "Is it Newark or New York City?" - }, - { - "start": "00:52.76", - "stop": "00:53.36", - "speaker": "Student", - "dialogue": "What did you say?" - }, - { - "start": "00:53.88", - "stop": "00:54.84", - "speaker": "Tutor", - "dialogue": "New York City to New." - }, - { - "start": "00:54.92", - "stop": "00:55.28", - "speaker": "Student", - "dialogue": "York City." - }, - { - "start": "00:55.48", - "stop": "00:55.72", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "00:55.96", - "stop": "00:58.64", - "speaker": "Student", - "dialogue": "So if it's measuring from Providence to New York City," - }, - { - "start": "00:59.08", - "stop": "01:00.48", - "speaker": "Student", - "dialogue": "What would we be measuring?" - }, - { - "start": "01:06.64", - "stop": "01:06.68", - "speaker": "Tutor", - "dialogue": "Me." - }, - { - "start": "01:09.20", - "stop": "01:10.12", - "speaker": "Student", - "dialogue": "Could we measure?" - }, - { - "start": "01:12.24", - "stop": "01:12.36", - "speaker": "Tutor", - "dialogue": "Well." - }, - { - "start": "01:12.52", - "stop": "01:13.64", - "speaker": "Student", - "dialogue": "Let me ask you this question." - }, - { - "start": "01:14.56", - "stop": "01:21.28", - "speaker": "Student", - "dialogue": "Use your cursor to pretend like you're the car and show Mob what the car's doing." - }, - { - "start": "01:21.84", - "stop": "01:21.88", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "01:23.68", - "stop": "01:24.88", - "speaker": "Student", - "dialogue": "So what's happening there?" - }, - { - "start": "01:26.68", - "stop": "01:27.32", - "speaker": "Tutor", - "dialogue": "It's driving." - }, - { - "start": "01:27.64", - "stop": "01:27.80", - "speaker": "Tutor", - "dialogue": "It's." - }, - { - "start": "01:27.92", - "stop": "01:28.40", - "speaker": "Student", - "dialogue": "Driving okay," - }, - { - "start": "01:28.48", - "stop": "01:33.60", - "speaker": "Student", - "dialogue": "So if you're in a car and you're driving from Providence down through Newark," - }, - { - "start": "01:33.80", - "stop": "01:36.08", - "speaker": "Student", - "dialogue": "New York City to Newark," - }, - { - "start": "01:37.68", - "stop": "01:40.16", - "speaker": "Student", - "dialogue": "What are some things we could measure in that journey?" - }, - { - "start": "01:44.64", - "stop": "01:45.28", - "speaker": "Tutor", - "dialogue": "Destination." - }, - { - "start": "01:45.92", - "stop": "01:45.96", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "01:46.24", - "stop": "01:46.48", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "01:46.60", - "stop": "01:46.92", - "speaker": "Student", - "dialogue": "Say more." - }, - { - "start": "01:46.96", - "stop": "01:48.08", - "speaker": "Student", - "dialogue": "What do you mean by destination?" - }, - { - "start": "01:49.48", - "stop": "01:49.60", - "speaker": "Tutor", - "dialogue": "Late," - }, - { - "start": "01:49.64", - "stop": "01:51.36", - "speaker": "Tutor", - "dialogue": "Where you get to where you late," - }, - { - "start": "01:51.68", - "stop": "01:53.40", - "speaker": "Tutor", - "dialogue": "Start off from Okay?" - }, - { - "start": "01:53.56", - "stop": "01:55.96", - "speaker": "Student", - "dialogue": "So for measuring where we start and where we get to," - }, - { - "start": "01:56.96", - "stop": "02:03.44", - "speaker": "Student", - "dialogue": "Are we going to be measuring how many street signs we see along the way or keep going?" - }, - { - "start": "02:03.56", - "stop": "02:06.00", - "speaker": "Student", - "dialogue": "What are some other things we could measure in that destination?" - }, - { - "start": "02:08.56", - "stop": "02:08.72", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "02:11.56", - "stop": "02:12.16", - "speaker": "Tutor", - "dialogue": "The miles." - }, - { - "start": "02:13.84", - "stop": "02:14.32", - "speaker": "Student", - "dialogue": "The miles," - }, - { - "start": "02:14.40", - "stop": "02:15.00", - "speaker": "Student", - "dialogue": "What would that be?" - }, - { - "start": "02:15.96", - "stop": "02:16.44", - "speaker": "Tutor", - "dialogue": "Per hour." - }, - { - "start": "02:17.96", - "stop": "02:19.32", - "speaker": "Student", - "dialogue": "So I'm going to write down some things here," - }, - { - "start": "02:19.36", - "stop": "02:20.40", - "speaker": "Student", - "dialogue": "So I can remember what you're saying." - }, - { - "start": "02:20.60", - "stop": "02:23.20", - "speaker": "Student", - "dialogue": "You're saying you can measure the miles we can measure," - }, - { - "start": "02:23.24", - "stop": "02:24.08", - "speaker": "Student", - "dialogue": "The miles per hour." - }, - { - "start": "02:24.44", - "stop": "02:25.60", - "speaker": "Student", - "dialogue": "Are those two different things," - }, - { - "start": "02:25.68", - "stop": "02:26.68", - "speaker": "Student", - "dialogue": "Or are those the same thing?" - }, - { - "start": "02:27.48", - "stop": "02:27.52", - "speaker": "Tutor", - "dialogue": "Uh," - }, - { - "start": "02:27.72", - "stop": "02:28.52", - "speaker": "Tutor", - "dialogue": "Two different things." - }, - { - "start": "02:28.76", - "stop": "02:28.96", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "02:29.04", - "stop": "02:29.36", - "speaker": "Student", - "dialogue": "Say more." - }, - { - "start": "02:29.52", - "stop": "02:31.48", - "speaker": "Student", - "dialogue": "Tell me how you think about those as two different things." - }, - { - "start": "02:32.68", - "stop": "02:37.32", - "speaker": "Tutor", - "dialogue": "Cause miles is how long like you it'll take to get somewhere in miles per hour." - }, - { - "start": "02:37.40", - "stop": "02:39.04", - "speaker": "Tutor", - "dialogue": "It's like how far you're Dm," - }, - { - "start": "02:39.20", - "stop": "02:41.68", - "speaker": "Tutor", - "dialogue": "How how much you're driving." - }, - { - "start": "02:43.32", - "stop": "02:43.44", - "speaker": "Student", - "dialogue": "Ok," - }, - { - "start": "02:43.72", - "stop": "02:46.48", - "speaker": "Student", - "dialogue": "So Miles would be measuring You?" - }, - { - "start": "02:46.60", - "stop": "02:49.80", - "speaker": "Student", - "dialogue": "Said how far we're also going to call that distance," - }, - { - "start": "02:50.68", - "stop": "02:55.12", - "speaker": "Student", - "dialogue": "So we can use miles to measure the distance or how far the car has traveled," - }, - { - "start": "02:55.84", - "stop": "02:59.04", - "speaker": "Student", - "dialogue": "And then miles per hour is measuring what?" - }, - { - "start": "03:01.76", - "stop": "03:01.80", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "03:02.00", - "stop": "03:03.56", - "speaker": "Student", - "dialogue": "Is miles per hour keeping track of what?" - }, - { - "start": "03:03.80", - "stop": "03:04.72", - "speaker": "Student", - "dialogue": "What would that be measuring?" - }, - { - "start": "03:05.60", - "stop": "03:07.76", - "speaker": "Tutor", - "dialogue": "A distance if." - }, - { - "start": "03:09.32", - "stop": "03:11.40", - "speaker": "Student", - "dialogue": "We're measuring the distance with miles." - }, - { - "start": "03:11.88", - "stop": "03:12.36", - "speaker": "Student", - "dialogue": "Can we call," - }, - { - "start": "03:12.48", - "stop": "03:14.56", - "speaker": "Student", - "dialogue": "Shall measure the distance with miles per hour." - }, - { - "start": "03:16.72", - "stop": "03:16.76", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "03:17.60", - "stop": "03:17.84", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "03:18.08", - "stop": "03:18.28", - "speaker": "Student", - "dialogue": "So I," - }, - { - "start": "03:18.36", - "stop": "03:19.92", - "speaker": "Student", - "dialogue": "Both of em have something to do with distance?" - }, - { - "start": "03:20.80", - "stop": "03:21.88", - "speaker": "Tutor", - "dialogue": "Yk." - }, - { - "start": "03:25.72", - "stop": "03:25.76", - "speaker": "Student", - "dialogue": "Le." - }, - { - "start": "03:26.16", - "stop": "03:26.40", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "03:26.60", - "stop": "03:28.72", - "speaker": "Student", - "dialogue": "Is there anything else you notice or wonder about the map?" - }, - { - "start": "03:32.20", - "stop": "03:32.40", - "speaker": "Tutor", - "dialogue": "Mm," - }, - { - "start": "03:32.72", - "stop": "03:33.64", - "speaker": "Tutor", - "dialogue": "There's a turnpike," - }, - { - "start": "03:33.88", - "stop": "03:36.00", - "speaker": "Tutor", - "dialogue": "So like mostly all the lines," - }, - { - "start": "03:36.20", - "stop": "03:37.64", - "speaker": "Tutor", - "dialogue": "Just like a on highway," - }, - { - "start": "03:37.80", - "stop": "03:39.68", - "speaker": "Tutor", - "dialogue": "There's like no streets sounding." - }, - { - "start": "03:41.52", - "stop": "03:43.44", - "speaker": "Student", - "dialogue": "What might happen at the turnpike?" - }, - { - "start": "03:45.12", - "stop": "03:45.36", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "03:45.56", - "stop": "03:46.28", - "speaker": "Tutor", - "dialogue": "You have to pay." - }, - { - "start": "03:48.40", - "stop": "03:51.04", - "speaker": "Student", - "dialogue": "Would you keep driving if you have to pay," - }, - { - "start": "03:51.76", - "stop": "03:53.08", - "speaker": "Student", - "dialogue": "Or do you have to stop to pay?" - }, - { - "start": "03:53.76", - "stop": "03:54.08", - "speaker": "Tutor", - "dialogue": "Stop," - }, - { - "start": "03:54.44", - "stop": "03:54.64", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "03:54.80", - "stop": "03:56.32", - "speaker": "Tutor", - "dialogue": "Depends caause." - }, - { - "start": "03:56.40", - "stop": "03:59.04", - "speaker": "Tutor", - "dialogue": "Sometimes you're like it takes a picture of your license paate," - }, - { - "start": "03:59.08", - "stop": "04:01.20", - "speaker": "Tutor", - "dialogue": "And it pays off your credit card," - }, - { - "start": "04:01.28", - "stop": "04:01.40", - "speaker": "Tutor", - "dialogue": "Or you?" - }, - { - "start": "04:01.52", - "stop": "04:01.80", - "speaker": "Tutor", - "dialogue": "Also," - }, - { - "start": "04:02.04", - "stop": "04:04.44", - "speaker": "Tutor", - "dialogue": "There's like a person in the stand and then you have to pay them." - }, - { - "start": "04:04.52", - "stop": "04:05.04", - "speaker": "Tutor", - "dialogue": "It depends." - }, - { - "start": "04:05.28", - "stop": "04:05.44", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "04:05.52", - "stop": "04:05.80", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:06.32", - "stop": "04:08.72", - "speaker": "Student", - "dialogue": "And I' I've never been on the new Jer Turnpike," - }, - { - "start": "04:08.80", - "stop": "04:09.00", - "speaker": "Student", - "dialogue": "Have you?" - }, - { - "start": "04:09.72", - "stop": "04:09.84", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "04:09.88", - "stop": "04:10.00", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "04:10.08", - "stop": "04:10.20", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "04:10.24", - "stop": "04:10.32", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "04:10.40", - "stop": "04:11.08", - "speaker": "Tutor", - "dialogue": "And just say Oh," - }, - { - "start": "04:11.12", - "stop": "04:12.36", - "speaker": "Tutor", - "dialogue": "The turnpikes I've been through." - }, - { - "start": "04:12.68", - "stop": "04:13.44", - "speaker": "Tutor", - "dialogue": "I'll study thing." - }, - { - "start": "04:13.96", - "stop": "04:16.40", - "speaker": "Student", - "dialogue": "So turnpike means something might happen." - }, - { - "start": "04:16.56", - "stop": "04:18.00", - "speaker": "Student", - "dialogue": "We're going to have to possibly pay." - }, - { - "start": "04:18.12", - "stop": "04:18.80", - "speaker": "Student", - "dialogue": "We may have to stop," - }, - { - "start": "04:18.92", - "stop": "04:20.48", - "speaker": "Student", - "dialogue": "Or we may just get to continue going." - }, - { - "start": "04:22.48", - "stop": "04:22.76", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "04:22.80", - "stop": "04:24.76", - "speaker": "Student", - "dialogue": "It W use our our um license plate." - }, - { - "start": "04:25.52", - "stop": "04:25.56", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "04:25.92", - "stop": "04:26.16", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "04:27.64", - "stop": "04:31.92", - "speaker": "Student", - "dialogue": "Now I want you to take a look at this graph." - }, - { - "start": "04:36.60", - "stop": "04:36.64", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "04:36.84", - "stop": "04:37.44", - "speaker": "Student", - "dialogue": "In the graph," - }, - { - "start": "04:38.28", - "stop": "04:40.00", - "speaker": "Student", - "dialogue": "You talked about distance already," - }, - { - "start": "04:40.80", - "stop": "04:40.84", - "speaker": "Student", - "dialogue": "Y," - }, - { - "start": "04:41.12", - "stop": "04:43.04", - "speaker": "Student", - "dialogue": "And said that we could measure the distance," - }, - { - "start": "04:43.12", - "stop": "04:44.44", - "speaker": "Student", - "dialogue": "And you even talked about miles," - }, - { - "start": "04:44.64", - "stop": "04:44.76", - "speaker": "Student", - "dialogue": "Right," - }, - { - "start": "04:45.64", - "stop": "04:46.32", - "speaker": "Student", - "dialogue": "Measure miles." - }, - { - "start": "04:46.68", - "stop": "04:49.04", - "speaker": "Student", - "dialogue": "This graph is also keeping track of time." - }, - { - "start": "04:50.04", - "stop": "04:53.24", - "speaker": "Student", - "dialogue": "What does that mean in this situationum?" - }, - { - "start": "04:53.32", - "stop": "04:54.44", - "speaker": "Tutor", - "dialogue": "How long you been driving for?" - }, - { - "start": "04:55.48", - "stop": "04:55.76", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "04:56.68", - "stop": "05:03.04", - "speaker": "Student", - "dialogue": "So where use your cursor to show me where you see time in this situation?" - }, - { - "start": "05:03.12", - "stop": "05:04.44", - "speaker": "Student", - "dialogue": "Where are we keeping track of time?" - }, - { - "start": "05:05.04", - "stop": "05:05.52", - "speaker": "Tutor", - "dialogue": "On the map." - }, - { - "start": "05:06.84", - "stop": "05:07.44", - "speaker": "Student", - "dialogue": "On the graph." - }, - { - "start": "05:08.24", - "stop": "05:08.72", - "speaker": "Tutor", - "dialogue": "Wait here." - }, - { - "start": "05:10.60", - "stop": "05:14.84", - "speaker": "Student", - "dialogue": "So that axis is where we're keeping track of how many hours have passed." - }, - { - "start": "05:15.52", - "stop": "05:15.56", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "05:16.04", - "stop": "05:16.36", - "speaker": "Student", - "dialogue": "All right," - }, - { - "start": "05:16.56", - "stop": "05:18.20", - "speaker": "Student", - "dialogue": "Where are we keeping track of distance?" - }, - { - "start": "05:19.68", - "stop": "05:20.72", - "speaker": "Tutor", - "dialogue": "On the y axis." - }, - { - "start": "05:21.12", - "stop": "05:21.48", - "speaker": "Student", - "dialogue": "Aight," - }, - { - "start": "05:21.76", - "stop": "05:24.40", - "speaker": "Student", - "dialogue": "So what do those numbers on the Y and the X axis mean?" - }, - { - "start": "05:26.84", - "stop": "05:27.00", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "05:27.16", - "stop": "05:30.04", - "speaker": "Tutor", - "dialogue": "How many hours you driven and how many miles you've driven?" - }, - { - "start": "05:31.92", - "stop": "05:33.84", - "speaker": "Student", - "dialogue": "Then what's going on with the blue stuff?" - }, - { - "start": "05:34.08", - "stop": "05:39.36", - "speaker": "Student", - "dialogue": "If we're keeping track of time on the X axis and distance on the y axis," - }, - { - "start": "05:40.68", - "stop": "05:42.88", - "speaker": "Student", - "dialogue": "Why do we have points and lines out here?" - }, - { - "start": "05:45.04", - "stop": "05:52.52", - "speaker": "Tutor", - "dialogue": "A records what you driven in in how many miles you driven in in a certain amount of time," - }, - { - "start": "05:53.52", - "stop": "05:53.96", - "speaker": "Tutor", - "dialogue": "I think." - }, - { - "start": "05:55.56", - "stop": "05:55.80", - "speaker": "Student", - "dialogue": "Hm," - }, - { - "start": "05:56.28", - "stop": "05:57.52", - "speaker": "Student", - "dialogue": "So say more about that." - }, - { - "start": "05:57.88", - "stop": "06:04.20", - "speaker": "Student", - "dialogue": "Choose something on the graph to explain to me in terms of time and distance." - }, - { - "start": "06:08.40", - "stop": "06:08.44", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "06:09.84", - "stop": "06:10.12", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "06:10.36", - "stop": "06:10.40", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "06:10.80", - "stop": "06:11.00", - "speaker": "Student", - "dialogue": "Say?" - }, - { - "start": "06:11.16", - "stop": "06:11.20", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "06:11.60", - "stop": "06:12.80", - "speaker": "Student", - "dialogue": "What's B telling us?" - }, - { - "start": "06:14.04", - "stop": "06:14.20", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "06:14.72", - "stop": "06:17.56", - "speaker": "Tutor", - "dialogue": "In one hour you can drive Fif or one hour," - }, - { - "start": "06:17.80", - "stop": "06:17.96", - "speaker": "Tutor", - "dialogue": "Wen," - }, - { - "start": "06:18.12", - "stop": "06:21.40", - "speaker": "Tutor", - "dialogue": "One hour the person drive drove in fifty miles." - }, - { - "start": "06:22.68", - "stop": "06:22.88", - "speaker": "Student", - "dialogue": "Uhh," - }, - { - "start": "06:22.96", - "stop": "06:26.68", - "speaker": "Student", - "dialogue": "So point B is keeping track of miles and time." - }, - { - "start": "06:27.92", - "stop": "06:27.96", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "06:28.12", - "stop": "06:30.88", - "speaker": "Tutor", - "dialogue": "The each point um tracks your time," - }, - { - "start": "06:31.00", - "stop": "06:33.00", - "speaker": "Tutor", - "dialogue": "And you've driven in the miles." - }, - { - "start": "06:33.60", - "stop": "06:34.04", - "speaker": "Tutor", - "dialogue": "You've uh," - }, - { - "start": "06:34.24", - "stop": "06:35.20", - "speaker": "Tutor", - "dialogue": "Driven okay?" - }, - { - "start": "06:35.60", - "stop": "06:38.44", - "speaker": "Student", - "dialogue": "So this axis is just keeping track of time." - }, - { - "start": "06:39.00", - "stop": "06:39.04", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "06:39.40", - "stop": "06:41.72", - "speaker": "Student", - "dialogue": "This axis is just keeping track of distance." - }, - { - "start": "06:42.48", - "stop": "06:42.52", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "06:42.84", - "stop": "06:47.24", - "speaker": "Student", - "dialogue": "But this stuff is keeping track of distance and time together." - }, - { - "start": "06:47.44", - "stop": "06:47.68", - "speaker": "Student", - "dialogue": "Both." - }, - { - "start": "06:48.24", - "stop": "06:48.28", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "06:48.72", - "stop": "06:48.96", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "06:50.24", - "stop": "06:56.68", - "speaker": "Student", - "dialogue": "So let's now think about what's the relationship between this graph and this map." - }, - { - "start": "07:02.96", - "stop": "07:03.48", - "speaker": "Tutor", - "dialogue": "What do you mean?" - }, - { - "start": "07:05.44", - "stop": "07:05.64", - "speaker": "Student", - "dialogue": "Well," - }, - { - "start": "07:07.60", - "stop": "07:09.64", - "speaker": "Student", - "dialogue": "Here you showed me with your cursor," - }, - { - "start": "07:09.76", - "stop": "07:17.88", - "speaker": "Student", - "dialogue": "That the car is travelling here and that we could measure distance or how many miles we traveleed," - }, - { - "start": "07:19.36", - "stop": "07:24.52", - "speaker": "Student", - "dialogue": "And now we also can think about time or how many hours we've driven." - }, - { - "start": "07:26.16", - "stop": "07:26.20", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "07:26.40", - "stop": "07:29.64", - "speaker": "Student", - "dialogue": "This graph is keeping track of both of those at the same time." - }, - { - "start": "07:31.96", - "stop": "07:32.00", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "07:32.24", - "stop": "07:35.60", - "speaker": "Student", - "dialogue": "Is there a relationship between this graph and this map," - }, - { - "start": "07:35.96", - "stop": "07:38.20", - "speaker": "Student", - "dialogue": "Or are they two totally different things?" - }, - { - "start": "07:40.60", - "stop": "07:40.64", - "speaker": "Tutor", - "dialogue": "Will," - }, - { - "start": "07:40.92", - "stop": "07:44.60", - "speaker": "Tutor", - "dialogue": "The map is the only reason that there's a graphi is because the map." - }, - { - "start": "07:45.48", - "stop": "07:45.72", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "07:45.80", - "stop": "07:47.68", - "speaker": "Student", - "dialogue": "So the graph is describing the map?" - }, - { - "start": "07:48.20", - "stop": "07:48.24", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "07:48.76", - "stop": "07:48.96", - "speaker": "Student", - "dialogue": "Ah," - }, - { - "start": "07:49.20", - "stop": "07:49.44", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "07:49.48", - "stop": "07:51.24", - "speaker": "Student", - "dialogue": "And they're both describing the journey." - }, - { - "start": "07:51.88", - "stop": "07:51.92", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "07:52.44", - "stop": "07:52.68", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "07:52.92", - "stop": "07:57.68", - "speaker": "Student", - "dialogue": "So let's start to label some things about how they are both keeping track." - }, - { - "start": "07:59.44", - "stop": "07:59.48", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "08:00.20", - "stop": "08:00.44", - "speaker": "Student", - "dialogue": "Pick," - }, - { - "start": "08:00.60", - "stop": "08:01.20", - "speaker": "Student", - "dialogue": "We started with B." - }, - { - "start": "08:01.36", - "stop": "08:02.20", - "speaker": "Student", - "dialogue": "So let's stick with B." - }, - { - "start": "08:03.16", - "stop": "08:07.00", - "speaker": "Student", - "dialogue": "Where do you think B would be on the map?" - }, - { - "start": "08:08.52", - "stop": "08:08.56", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "08:08.68", - "stop": "08:10.64", - "speaker": "Student", - "dialogue": "You can use the tools over here on the side." - }, - { - "start": "08:12.36", - "stop": "08:12.40", - "speaker": "Tutor", - "dialogue": "To." - }, - { - "start": "08:12.60", - "stop": "08:14.68", - "speaker": "Student", - "dialogue": "Label where you think B would be located." - }, - { - "start": "08:16.16", - "stop": "08:18.12", - "speaker": "Tutor", - "dialogue": "Maybe like so," - }, - { - "start": "08:18.52", - "stop": "08:20.92", - "speaker": "Tutor", - "dialogue": "It takes a hundred fifty miles to get to Newwark," - }, - { - "start": "08:21.96", - "stop": "08:23.56", - "speaker": "Tutor", - "dialogue": "So that means or providence," - }, - { - "start": "08:23.68", - "stop": "08:25.32", - "speaker": "Tutor", - "dialogue": "Or whicheverone the way it's going." - }, - { - "start": "08:25.68", - "stop": "08:26.32", - "speaker": "Student", - "dialogue": "Does that matter," - }, - { - "start": "08:26.84", - "stop": "08:28.36", - "speaker": "Student", - "dialogue": "Are we ending in Providence," - }, - { - "start": "08:28.44", - "stop": "08:29.60", - "speaker": "Student", - "dialogue": "Or are we ending in New Wark?" - }, - { - "start": "08:33.04", - "stop": "08:33.28", - "speaker": "Tutor", - "dialogue": "Ah," - }, - { - "start": "08:33.40", - "stop": "08:34.32", - "speaker": "Tutor", - "dialogue": "I'm not sure to beond." - }, - { - "start": "08:34.44", - "stop": "08:34.56", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "08:34.60", - "stop": "08:34.80", - "speaker": "Tutor", - "dialogue": "Wait," - }, - { - "start": "08:35.04", - "stop": "08:36.80", - "speaker": "Tutor", - "dialogue": "Um from Providence," - }, - { - "start": "08:36.84", - "stop": "08:37.16", - "speaker": "Tutor", - "dialogue": "It says," - }, - { - "start": "08:37.20", - "stop": "08:38.12", - "speaker": "Tutor", - "dialogue": "In the quest it's says," - }, - { - "start": "08:38.20", - "stop": "08:38.64", - "speaker": "Tutor", - "dialogue": "In the question," - }, - { - "start": "08:38.72", - "stop": "08:39.08", - "speaker": "Tutor", - "dialogue": "It says," - }, - { - "start": "08:39.64", - "stop": "08:42.64", - "speaker": "Tutor", - "dialogue": "From Providence to New York to Newark," - }, - { - "start": "08:42.72", - "stop": "08:42.96", - "speaker": "Tutor", - "dialogue": "Beyond." - }, - { - "start": "08:44.48", - "stop": "08:44.52", - "speaker": "Student", - "dialogue": "S." - }, - { - "start": "08:44.80", - "stop": "08:45.40", - "speaker": "Tutor", - "dialogue": "Taying a word," - }, - { - "start": "08:45.60", - "stop": "08:46.36", - "speaker": "Tutor", - "dialogue": "Fifty miles," - }, - { - "start": "08:47.24", - "stop": "08:56.32", - "speaker": "Tutor", - "dialogue": "Um quart lake around here somewhere." - }, - { - "start": "08:57.52", - "stop": "08:57.80", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "08:59.84", - "stop": "08:59.88", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "09:00.04", - "stop": "09:00.56", - "speaker": "Student", - "dialogue": "You can put." - }, - { - "start": "09:00.72", - "stop": "09:02.52", - "speaker": "Student", - "dialogue": "You can label it either with the drawing tool." - }, - { - "start": "09:03.04", - "stop": "09:04.16", - "speaker": "Student", - "dialogue": "Do you see what the tools are?" - }, - { - "start": "09:04.92", - "stop": "09:04.96", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "09:05.52", - "stop": "09:08.24", - "speaker": "Student", - "dialogue": "Or with the textbox or whatever makes sense for you." - }, - { - "start": "09:17.52", - "stop": "09:17.56", - "speaker": "Tutor", - "dialogue": "Do?" - }, - { - "start": "09:17.64", - "stop": "09:19.20", - "speaker": "Student", - "dialogue": "You see where your textbox popped up?" - }, - { - "start": "09:20.00", - "stop": "09:20.04", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "09:20.36", - "stop": "09:20.60", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "09:20.72", - "stop": "09:21.20", - "speaker": "Tutor", - "dialogue": "I'll scoop." - }, - { - "start": "09:21.28", - "stop": "09:21.60", - "speaker": "Student", - "dialogue": "It over?" - }, - { - "start": "09:23.04", - "stop": "09:24.60", - "speaker": "Student", - "dialogue": "Kind of hard to say on the graphs sometimes." - }, - { - "start": "09:29.64", - "stop": "09:30.52", - "speaker": "Tutor", - "dialogue": "I delete thissh," - }, - { - "start": "09:35.96", - "stop": "09:36.32", - "speaker": "Tutor", - "dialogue": "How do I?" - }, - { - "start": "09:36.76", - "stop": "09:36.80", - "speaker": "Student", - "dialogue": "I," - }, - { - "start": "09:37.28", - "stop": "09:39.12", - "speaker": "Student", - "dialogue": "I wonder if you weren't able to cause." - }, - { - "start": "09:39.12", - "stop": "09:39.80", - "speaker": "Student", - "dialogue": "I had it clicked." - }, - { - "start": "09:39.88", - "stop": "09:40.04", - "speaker": "Tutor", - "dialogue": "Try," - }, - { - "start": "09:40.20", - "stop": "09:40.36", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "09:41.92", - "stop": "09:44.32", - "speaker": "Tutor", - "dialogue": "Um let's see Miles." - }, - { - "start": "09:53.16", - "stop": "09:53.80", - "speaker": "Student", - "dialogue": "Is that point?" - }, - { - "start": "09:56.08", - "stop": "09:56.12", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "09:56.36", - "stop": "09:57.24", - "speaker": "Student", - "dialogue": "Letter was that point." - }, - { - "start": "09:58.36", - "stop": "09:58.56", - "speaker": "Tutor", - "dialogue": "Ah," - }, - { - "start": "09:58.68", - "stop": "09:58.72", - "speaker": "Tutor", - "dialogue": "B," - }, - { - "start": "09:59.08", - "stop": "09:59.28", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "09:59.36", - "stop": "10:00.08", - "speaker": "Student", - "dialogue": "Let's put that there," - }, - { - "start": "10:00.16", - "stop": "10:00.32", - "speaker": "Student", - "dialogue": "Too." - }, - { - "start": "10:15.76", - "stop": "10:15.92", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "10:16.08", - "stop": "10:18.72", - "speaker": "Student", - "dialogue": "Is that point keeping track of anything else we have?" - }, - { - "start": "10:18.88", - "stop": "10:18.92", - "speaker": "Student", - "dialogue": "B," - }, - { - "start": "10:19.56", - "stop": "10:20.56", - "speaker": "Student", - "dialogue": "We have fifty miles." - }, - { - "start": "10:23.08", - "stop": "10:23.20", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "10:23.24", - "stop": "10:23.40", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "10:23.52", - "stop": "10:24.48", - "speaker": "Tutor", - "dialogue": "Do you want me to put A," - }, - { - "start": "10:24.80", - "stop": "10:26.92", - "speaker": "Tutor", - "dialogue": "Because A is like right here," - }, - { - "start": "10:27.52", - "stop": "10:27.56", - "speaker": "Tutor", - "dialogue": "O." - }, - { - "start": "10:27.68", - "stop": "10:28.12", - "speaker": "Tutor", - "dialogue": "Basically." - }, - { - "start": "10:29.00", - "stop": "10:30.16", - "speaker": "Student", - "dialogue": "If you think you need there," - }, - { - "start": "10:30.20", - "stop": "10:30.68", - "speaker": "Student", - "dialogue": "That's awesome." - }, - { - "start": "10:30.76", - "stop": "10:31.20", - "speaker": "Student", - "dialogue": "Put it there." - }, - { - "start": "10:55.36", - "stop": "10:55.60", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "10:55.72", - "stop": "10:55.76", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "10:58.48", - "stop": "11:00.88", - "speaker": "Student", - "dialogue": "Curious about this particular point," - }, - { - "start": "11:02.24", - "stop": "11:06.20", - "speaker": "Student", - "dialogue": "You wrote fifty milesz." - }, - { - "start": "11:07.24", - "stop": "11:07.28", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "11:07.48", - "stop": "11:08.24", - "speaker": "Student", - "dialogue": "Fifty miles," - }, - { - "start": "11:09.20", - "stop": "11:10.28", - "speaker": "Student", - "dialogue": "Just this point," - }, - { - "start": "11:11.24", - "stop": "11:13.24", - "speaker": "Student", - "dialogue": "And just this point is zero miles." - }, - { - "start": "11:13.88", - "stop": "11:15.52", - "speaker": "Student", - "dialogue": "And what's all this stuff in between?" - }, - { - "start": "11:17.80", - "stop": "11:20.36", - "speaker": "Tutor", - "dialogue": "A one to forty nine miles." - }, - { - "start": "11:22.36", - "stop": "11:27.84", - "speaker": "Student", - "dialogue": "So this fifty miles indicates the car has traveled fifty miles Y." - }, - { - "start": "11:28.28", - "stop": "11:30.12", - "speaker": "Student", - "dialogue": "From where to where could you draw?" - }, - { - "start": "11:31.16", - "stop": "11:34.48", - "speaker": "Tutor", - "dialogue": "Providence into like part of the turnpike." - }, - { - "start": "11:36.52", - "stop": "11:39.56", - "speaker": "Student", - "dialogue": "Show me the distance that is fifty miles." - }, - { - "start": "11:40.32", - "stop": "11:41.96", - "speaker": "Student", - "dialogue": "I see you label it at a point." - }, - { - "start": "11:42.36", - "stop": "11:43.36", - "speaker": "Student", - "dialogue": "Where's the distance?" - }, - { - "start": "11:46.96", - "stop": "11:47.52", - "speaker": "Tutor", - "dialogue": "What do you mean?" - }, - { - "start": "11:47.88", - "stop": "11:47.92", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "11:48.28", - "stop": "11:49.32", - "speaker": "Student", - "dialogue": "That wasn't a very good question." - }, - { - "start": "11:49.44", - "stop": "11:50.68", - "speaker": "Student", - "dialogue": "Let me think about this for a second." - }, - { - "start": "11:51.40", - "stop": "11:53.16", - "speaker": "Student", - "dialogue": "The way you have it labeled here," - }, - { - "start": "11:54.24", - "stop": "11:56.80", - "speaker": "Student", - "dialogue": "Seems like this point is fifty miles." - }, - { - "start": "11:58.32", - "stop": "11:58.36", - "speaker": "Tutor", - "dialogue": "Y." - }, - { - "start": "11:59.24", - "stop": "11:59.96", - "speaker": "Student", - "dialogue": "And I'm wondering," - }, - { - "start": "12:00.04", - "stop": "12:01.52", - "speaker": "Student", - "dialogue": "Is it the point that's fifty miles," - }, - { - "start": "12:02.12", - "stop": "12:06.36", - "speaker": "Student", - "dialogue": "Or is it the entire amount that has been traveled to here that is fifty miles?" - }, - { - "start": "12:08.76", - "stop": "12:08.80", - "speaker": "Tutor", - "dialogue": "Uh," - }, - { - "start": "12:09.08", - "stop": "12:09.36", - "speaker": "Tutor", - "dialogue": "Both." - }, - { - "start": "12:10.48", - "stop": "12:10.84", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "12:12.28", - "stop": "12:12.56", - "speaker": "Tutor", - "dialogue": "Whoa," - }, - { - "start": "12:12.72", - "stop": "12:13.04", - "speaker": "Tutor", - "dialogue": "I mean," - }, - { - "start": "12:13.92", - "stop": "12:17.12", - "speaker": "Tutor", - "dialogue": "Cause like I can't put every single mile 'cause it wouldn't fit." - }, - { - "start": "12:17.20", - "stop": "12:17.68", - "speaker": "Tutor", - "dialogue": "I don't think," - }, - { - "start": "12:18.72", - "stop": "12:19.80", - "speaker": "Tutor", - "dialogue": "And like on the grav," - }, - { - "start": "12:19.96", - "stop": "12:20.60", - "speaker": "Tutor", - "dialogue": "It doesn't say." - }, - { - "start": "12:20.84", - "stop": "12:24.68", - "speaker": "Tutor", - "dialogue": "Every single mile just says like half of each mile," - }, - { - "start": "12:25.16", - "stop": "12:25.92", - "speaker": "Tutor", - "dialogue": "Half of a mile." - }, - { - "start": "12:28.84", - "stop": "12:29.40", - "speaker": "Student", - "dialogue": "Keep going." - }, - { - "start": "12:29.64", - "stop": "12:32.28", - "speaker": "Student", - "dialogue": "Where would the rest of the points be?" - }, - { - "start": "12:35.36", - "stop": "12:35.56", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "12:35.68", - "stop": "12:36.72", - "speaker": "Tutor", - "dialogue": "That's the thing like it says," - }, - { - "start": "12:36.88", - "stop": "12:38.44", - "speaker": "Tutor", - "dialogue": "C is still fifty miles," - }, - { - "start": "12:39.00", - "stop": "12:39.96", - "speaker": "Tutor", - "dialogue": "But it's two hours," - }, - { - "start": "12:40.00", - "stop": "12:41.16", - "speaker": "Tutor", - "dialogue": "So it's like an hour more." - }, - { - "start": "12:41.28", - "stop": "12:44.88", - "speaker": "Tutor", - "dialogue": "So it means like the person din' drove for an hour." - }, - { - "start": "12:48.28", - "stop": "12:50.96", - "speaker": "Student", - "dialogue": "They drove for an hour point." - }, - { - "start": "12:52.76", - "stop": "12:52.88", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "12:52.96", - "stop": "12:53.08", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "12:53.16", - "stop": "12:53.24", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "12:53.32", - "stop": "12:53.44", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "12:53.56", - "stop": "12:55.20", - "speaker": "Tutor", - "dialogue": "I'm saying like cause like I says," - }, - { - "start": "12:55.88", - "stop": "12:56.36", - "speaker": "Tutor", - "dialogue": "The person," - }, - { - "start": "12:56.76", - "stop": "12:56.80", - "speaker": "Tutor", - "dialogue": "Uh," - }, - { - "start": "12:57.16", - "stop": "13:04.44", - "speaker": "Tutor", - "dialogue": "Droven um fifty miles in two hours in like in the first hour they drove fifty miles." - }, - { - "start": "13:04.48", - "stop": "13:06.24", - "speaker": "Tutor", - "dialogue": "So does that mean like they didn't drive at all?" - }, - { - "start": "13:07.16", - "stop": "13:07.96", - "speaker": "Student", - "dialogue": "What does that mean?" - }, - { - "start": "13:09.24", - "stop": "13:10.24", - "speaker": "Tutor", - "dialogue": "They didn't drive it." - }, - { - "start": "13:10.40", - "stop": "13:10.88", - "speaker": "Tutor", - "dialogue": "Probably late." - }, - { - "start": "13:11.00", - "stop": "13:11.40", - "speaker": "Tutor", - "dialogue": "I don't know," - }, - { - "start": "13:12.28", - "stop": "13:12.68", - "speaker": "Tutor", - "dialogue": "Rested." - }, - { - "start": "13:13.08", - "stop": "13:13.12", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "13:13.40", - "stop": "13:14.24", - "speaker": "Student", - "dialogue": "So if they didn't drive," - }, - { - "start": "13:14.32", - "stop": "13:15.24", - "speaker": "Student", - "dialogue": "What happened with the car?" - }, - { - "start": "13:17.20", - "stop": "13:18.16", - "speaker": "Tutor", - "dialogue": "It wasn't driving," - }, - { - "start": "13:18.68", - "stop": "13:20.16", - "speaker": "Tutor", - "dialogue": "We parked or something." - }, - { - "start": "13:20.32", - "stop": "13:20.36", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "13:20.68", - "stop": "13:22.88", - "speaker": "Student", - "dialogue": "Might have been in line for a toal station or something." - }, - { - "start": "13:23.16", - "stop": "13:23.20", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "13:23.48", - "stop": "13:23.52", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "13:23.84", - "stop": "13:23.88", - "speaker": "Student", - "dialogue": "What," - }, - { - "start": "13:24.00", - "stop": "13:24.32", - "speaker": "Student", - "dialogue": "We don't know?" - }, - { - "start": "13:24.44", - "stop": "13:25.64", - "speaker": "Student", - "dialogue": "We just know it wasn't moving." - }, - { - "start": "13:25.88", - "stop": "13:25.92", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "13:26.60", - "stop": "13:29.16", - "speaker": "Student", - "dialogue": "Because what was staying the same?" - }, - { - "start": "13:29.32", - "stop": "13:30.96", - "speaker": "Student", - "dialogue": "What variable was staying the same?" - }, - { - "start": "13:32.12", - "stop": "13:32.68", - "speaker": "Tutor", - "dialogue": "The distance," - }, - { - "start": "13:32.92", - "stop": "13:32.96", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "13:33.08", - "stop": "13:33.44", - "speaker": "Student", - "dialogue": "Distance," - }, - { - "start": "13:33.56", - "stop": "13:33.60", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "13:33.84", - "stop": "13:34.92", - "speaker": "Student", - "dialogue": "Distance wasn't changing." - }, - { - "start": "13:35.44", - "stop": "13:38.28", - "speaker": "Student", - "dialogue": "Was Tim staying the same or was it changing?" - }, - { - "start": "13:39.44", - "stop": "13:39.48", - "speaker": "Tutor", - "dialogue": "Uh," - }, - { - "start": "13:39.80", - "stop": "13:40.60", - "speaker": "Tutor", - "dialogue": "Time was changing." - }, - { - "start": "13:40.76", - "stop": "13:41.56", - "speaker": "Student", - "dialogue": "Time was changing," - }, - { - "start": "13:41.88", - "stop": "13:44.60", - "speaker": "Student", - "dialogue": "So as time was increasing," - }, - { - "start": "13:45.12", - "stop": "13:46.36", - "speaker": "Student", - "dialogue": "Distance stayed the same." - }, - { - "start": "13:48.24", - "stop": "13:48.28", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "13:48.52", - "stop": "13:49.76", - "speaker": "Student", - "dialogue": "Happened from A to B." - }, - { - "start": "13:51.40", - "stop": "13:51.44", - "speaker": "Tutor", - "dialogue": "In." - }, - { - "start": "13:51.60", - "stop": "13:53.24", - "speaker": "Student", - "dialogue": "Regards of time and distance," - }, - { - "start": "13:53.44", - "stop": "13:54.32", - "speaker": "Student", - "dialogue": "Were they increasing," - }, - { - "start": "13:54.64", - "stop": "13:55.20", - "speaker": "Student", - "dialogue": "Decreasing," - }, - { - "start": "13:55.36", - "stop": "13:56.20", - "speaker": "Student", - "dialogue": "Or staying the same?" - }, - { - "start": "13:56.80", - "stop": "13:58.36", - "speaker": "Tutor", - "dialogue": "Increasing by an hour." - }, - { - "start": "13:59.04", - "stop": "13:59.24", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "13:59.36", - "stop": "13:59.56", - "speaker": "Student", - "dialogue": "Sid," - }, - { - "start": "13:59.76", - "stop": "14:00.04", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "14:00.20", - "stop": "14:00.36", - "speaker": "Student", - "dialogue": "Now," - }, - { - "start": "14:00.36", - "stop": "14:07.60", - "speaker": "Student", - "dialogue": "I'm going to challenge you to say that together in one sentence and use both distance and time in your sentence." - }, - { - "start": "14:11.36", - "stop": "14:18.24", - "speaker": "Tutor", - "dialogue": "Thees distance increased by fifty miles and the time increased by one hour." - }, - { - "start": "14:19.24", - "stop": "14:20.36", - "speaker": "Student", - "dialogue": "So from A to B," - }, - { - "start": "14:21.92", - "stop": "14:23.40", - "speaker": "Student", - "dialogue": "As time was increasing," - }, - { - "start": "14:24.28", - "stop": "14:25.88", - "speaker": "Student", - "dialogue": "Distance was also increasing." - }, - { - "start": "14:26.60", - "stop": "14:26.64", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "14:29.28", - "stop": "14:29.60", - "speaker": "Student", - "dialogue": "All right," - }, - { - "start": "14:29.68", - "stop": "14:31.00", - "speaker": "Student", - "dialogue": "So where would you label Point C," - }, - { - "start": "14:31.20", - "stop": "14:31.36", - "speaker": "Student", - "dialogue": "Then?" - }, - { - "start": "14:33.84", - "stop": "14:35.96", - "speaker": "Tutor", - "dialogue": "Bomina can have La right here." - }, - { - "start": "14:36.12", - "stop": "14:37.32", - "speaker": "Tutor", - "dialogue": "Still the same place." - }, - { - "start": "14:37.60", - "stop": "14:37.64", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "14:37.84", - "stop": "14:38.60", - "speaker": "Student", - "dialogue": "That's the same point," - }, - { - "start": "14:38.68", - "stop": "14:39.00", - "speaker": "Student", - "dialogue": "Isn't it?" - }, - { - "start": "14:39.64", - "stop": "14:39.68", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "14:53.16", - "stop": "14:57.44", - "speaker": "Student", - "dialogue": "Now let's look at what is happening from C to D." - }, - { - "start": "15:01.00", - "stop": "15:03.40", - "speaker": "Tutor", - "dialogue": "Increased a lot in terms of distance," - }, - { - "start": "15:03.80", - "stop": "15:08.32", - "speaker": "Tutor", - "dialogue": "And it increased like around half an hour in time." - }, - { - "start": "15:09.28", - "stop": "15:11.72", - "speaker": "Student", - "dialogue": "So as distance was increasing," - }, - { - "start": "15:12.24", - "stop": "15:13.80", - "speaker": "Student", - "dialogue": "Time was also increasing." - }, - { - "start": "15:14.28", - "stop": "15:15.24", - "speaker": "Tutor", - "dialogue": "How's that possible?" - }, - { - "start": "15:16.60", - "stop": "15:17.60", - "speaker": "Student", - "dialogue": "How is that possible?" - }, - { - "start": "15:18.16", - "stop": "15:18.36", - "speaker": "Tutor", - "dialogue": "Caause," - }, - { - "start": "15:18.48", - "stop": "15:23.16", - "speaker": "Tutor", - "dialogue": "Like in the other hours like it took them fifty hours to drive one mile." - }, - { - "start": "15:23.64", - "stop": "15:25.96", - "speaker": "Tutor", - "dialogue": "When it took them fifty miles to." - }, - { - "start": "15:26.36", - "stop": "15:28.32", - "speaker": "Tutor", - "dialogue": "I took them an hour to drive fifty miles," - }, - { - "start": "15:28.76", - "stop": "15:32.72", - "speaker": "Tutor", - "dialogue": "But then it took them another fifty miles just to drive thirty minutes." - }, - { - "start": "15:34.08", - "stop": "15:35.44", - "speaker": "Student", - "dialogue": "Where do you say the thirty minutes?" - }, - { - "start": "15:37.40", - "stop": "15:37.64", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "15:38.04", - "stop": "15:38.16", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "15:38.24", - "stop": "15:38.88", - "speaker": "Tutor", - "dialogue": "It's because it." - }, - { - "start": "15:39.00", - "stop": "15:40.60", - "speaker": "Tutor", - "dialogue": "Ite's in the middle between two and three," - }, - { - "start": "15:40.72", - "stop": "15:42.48", - "speaker": "Tutor", - "dialogue": "So it's like two hours and a half." - }, - { - "start": "15:42.92", - "stop": "15:43.52", - "speaker": "Tutor", - "dialogue": "Pretty sure." - }, - { - "start": "15:45.04", - "stop": "15:47.20", - "speaker": "Student", - "dialogue": "So you are reading down to here." - }, - { - "start": "15:49.04", - "stop": "15:49.08", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "15:50.16", - "stop": "15:52.24", - "speaker": "Student", - "dialogue": "And you're saying D is right here?" - }, - { - "start": "15:53.04", - "stop": "15:53.16", - "speaker": "Tutor", - "dialogue": "Yes," - }, - { - "start": "15:53.24", - "stop": "15:54.60", - "speaker": "Tutor", - "dialogue": "So wasa like two hours and a half?" - }, - { - "start": "15:55.40", - "stop": "16:03.20", - "speaker": "Student", - "dialogue": "So two and a half hours is keeping track of from C to D or from the beginning of the journey to D." - }, - { - "start": "16:05.32", - "stop": "16:05.60", - "speaker": "Tutor", - "dialogue": "Both." - }, - { - "start": "16:07.28", - "stop": "16:07.72", - "speaker": "Student", - "dialogue": "Keep going." - }, - { - "start": "16:07.76", - "stop": "16:08.44", - "speaker": "Student", - "dialogue": "What do you mean by that?" - }, - { - "start": "16:10.16", - "stop": "16:10.20", - "speaker": "Tutor", - "dialogue": "W." - }, - { - "start": "16:10.44", - "stop": "16:10.76", - "speaker": "Tutor", - "dialogue": "I mean," - }, - { - "start": "16:12.12", - "stop": "16:14.80", - "speaker": "Tutor", - "dialogue": "So far the Presidon has driven two hours and a half," - }, - { - "start": "16:15.32", - "stop": "16:17.56", - "speaker": "Tutor", - "dialogue": "And it took he's driven two hours and a half." - }, - { - "start": "16:17.64", - "stop": "16:17.84", - "speaker": "Tutor", - "dialogue": "Eat," - }, - { - "start": "16:17.84", - "stop": "16:19.76", - "speaker": "Tutor", - "dialogue": "And he's droven hundred miles." - }, - { - "start": "16:20.84", - "stop": "16:20.88", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "16:21.20", - "stop": "16:22.80", - "speaker": "Student", - "dialogue": "That's the total trip so far." - }, - { - "start": "16:23.40", - "stop": "16:23.44", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "16:23.68", - "stop": "16:28.44", - "speaker": "Student", - "dialogue": "It's two and a half hours because you've measured the distance all the way from the beginning at that point." - }, - { - "start": "16:29.76", - "stop": "16:29.80", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "16:30.04", - "stop": "16:31.40", - "speaker": "Student", - "dialogue": "All the way from the beginning here," - }, - { - "start": "16:32.52", - "stop": "16:33.68", - "speaker": "Student", - "dialogue": "So at point d," - }, - { - "start": "16:35.28", - "stop": "16:39.48", - "speaker": "Student", - "dialogue": "The car has traveleed two and a half hours and a hundred miles." - }, - { - "start": "16:40.48", - "stop": "16:40.80", - "speaker": "Tutor", - "dialogue": "Mea." - }, - { - "start": "16:41.08", - "stop": "16:44.68", - "speaker": "Student", - "dialogue": "My question for you is what happened from C to D." - }, - { - "start": "16:53.48", - "stop": "16:53.96", - "speaker": "Tutor", - "dialogue": "Oh wait." - }, - { - "start": "16:55.68", - "stop": "16:55.84", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "16:55.92", - "stop": "16:56.92", - "speaker": "Tutor", - "dialogue": "I think I got it wrong." - }, - { - "start": "17:00.04", - "stop": "17:00.20", - "speaker": "Student", - "dialogue": "Wron." - }, - { - "start": "17:02.28", - "stop": "17:03.24", - "speaker": "Tutor", - "dialogue": "They i," - }, - { - "start": "17:03.40", - "stop": "17:04.84", - "speaker": "Tutor", - "dialogue": "They drove in an hour or nine." - }, - { - "start": "17:04.92", - "stop": "17:05.36", - "speaker": "Tutor", - "dialogue": "Half an hour." - }, - { - "start": "17:05.44", - "stop": "17:06.80", - "speaker": "Tutor", - "dialogue": "I thought the sea was at two." - }, - { - "start": "17:09.44", - "stop": "17:09.48", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "17:09.68", - "stop": "17:09.84", - "speaker": "Tutor", - "dialogue": "'cau." - }, - { - "start": "17:09.96", - "stop": "17:10.76", - "speaker": "Tutor", - "dialogue": "It didn't make sense," - }, - { - "start": "17:11.36", - "stop": "17:17.20", - "speaker": "Tutor", - "dialogue": "But I realized that the sea is at two at at like at the at the in between one and two," - }, - { - "start": "17:17.92", - "stop": "17:19.84", - "speaker": "Tutor", - "dialogue": "And then the Ds in the between the two and three." - }, - { - "start": "17:19.92", - "stop": "17:22.72", - "speaker": "Tutor", - "dialogue": "So it's still an hour and as how much," - }, - { - "start": "17:23.16", - "stop": "17:23.24", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "17:23.44", - "stop": "17:27.04", - "speaker": "Tutor", - "dialogue": "They drove Fif to fifty miles last time in one hour." - }, - { - "start": "17:27.36", - "stop": "17:28.88", - "speaker": "Student", - "dialogue": "So that's what you were confused about was," - }, - { - "start": "17:29.00", - "stop": "17:33.56", - "speaker": "Student", - "dialogue": "How can they go fifty miles in an hour and then go another fifty miles in a half hour?" - }, - { - "start": "17:34.20", - "stop": "17:34.24", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "17:34.96", - "stop": "17:35.16", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "17:35.76", - "stop": "17:37.68", - "speaker": "Student", - "dialogue": "That's possible a car could do that." - }, - { - "start": "17:37.84", - "stop": "17:39.68", - "speaker": "Student", - "dialogue": "That's not what's happening in this situation." - }, - { - "start": "17:40.40", - "stop": "17:40.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "17:41.24", - "stop": "17:42.36", - "speaker": "Student", - "dialogue": "But is that possible?" - }, - { - "start": "17:43.16", - "stop": "17:43.20", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "17:43.48", - "stop": "17:44.08", - "speaker": "Tutor", - "dialogue": "Probably what?" - }, - { - "start": "17:44.24", - "stop": "17:48.08", - "speaker": "Student", - "dialogue": "Would have to happen for a car to go fifty miles in one hour," - }, - { - "start": "17:48.60", - "stop": "17:49.92", - "speaker": "Student", - "dialogue": "And then later on on the trip," - }, - { - "start": "17:50.16", - "stop": "17:51.72", - "speaker": "Student", - "dialogue": "Go fifty miles in a half hour." - }, - { - "start": "17:52.80", - "stop": "17:53.44", - "speaker": "Tutor", - "dialogue": "Drive faster." - }, - { - "start": "17:53.64", - "stop": "17:54.64", - "speaker": "Tutor", - "dialogue": "Maybe there's no traffic." - }, - { - "start": "17:54.88", - "stop": "17:54.92", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "17:55.12", - "stop": "17:56.52", - "speaker": "Student", - "dialogue": "They would be driving faster," - }, - { - "start": "17:56.96", - "stop": "17:58.92", - "speaker": "Student", - "dialogue": "So their speed would be different." - }, - { - "start": "17:59.64", - "stop": "17:59.68", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "18:00.48", - "stop": "18:01.28", - "speaker": "Tutor", - "dialogue": "Miles per hour." - }, - { - "start": "18:01.80", - "stop": "18:01.84", - "speaker": "Student", - "dialogue": "Y," - }, - { - "start": "18:02.20", - "stop": "18:02.40", - "speaker": "Student", - "dialogue": "Yup," - }, - { - "start": "18:02.44", - "stop": "18:03.84", - "speaker": "Student", - "dialogue": "And that's where miles per hour comes." - }, - { - "start": "18:03.92", - "stop": "18:03.96", - "speaker": "Tutor", - "dialogue": "In." - }, - { - "start": "18:04.60", - "stop": "18:04.84", - "speaker": "Student", - "dialogue": "Yup," - }, - { - "start": "18:05.04", - "stop": "18:05.20", - "speaker": "Student", - "dialogue": "Ok," - }, - { - "start": "18:05.60", - "stop": "18:07.56", - "speaker": "Student", - "dialogue": "So label C to D." - }, - { - "start": "18:07.88", - "stop": "18:11.08", - "speaker": "Student", - "dialogue": "You are now saying it took an hour to get from C to D." - }, - { - "start": "18:12.40", - "stop": "18:17.32", - "speaker": "Student", - "dialogue": "And how much distance did the car increase from C to D?" - }, - { - "start": "18:19.80", - "stop": "18:19.96", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "18:22.08", - "stop": "18:22.60", - "speaker": "Tutor", - "dialogue": "A hundred," - }, - { - "start": "18:22.92", - "stop": "18:25.60", - "speaker": "Tutor", - "dialogue": "So I probably put it." - }, - { - "start": "18:26.76", - "stop": "18:27.08", - "speaker": "Student", - "dialogue": "Hundd." - }, - { - "start": "18:28.56", - "stop": "18:31.24", - "speaker": "Tutor", - "dialogue": "Bre a hundred mile in a year and a hundred miles." - }, - { - "start": "18:31.48", - "stop": "18:31.84", - "speaker": "Tutor", - "dialogue": "W know." - }, - { - "start": "18:36.16", - "stop": "18:39.12", - "speaker": "Tutor", - "dialogue": "So I write a hundred like I draw another dot here." - }, - { - "start": "18:39.60", - "stop": "18:39.64", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "18:39.96", - "stop": "18:44.64", - "speaker": "Student", - "dialogue": "Just label the the letter right now and then we'll take care of the miles in a min." - }, - { - "start": "18:53.52", - "stop": "18:53.80", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "19:09.72", - "stop": "19:09.76", - "speaker": "Student", - "dialogue": "S." - }, - { - "start": "19:09.96", - "stop": "19:11.52", - "speaker": "Tutor", - "dialogue": "I add the hours too or no." - }, - { - "start": "19:12.16", - "stop": "19:12.36", - "speaker": "Student", - "dialogue": "Well," - }, - { - "start": "19:12.48", - "stop": "19:12.52", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "19:12.76", - "stop": "19:14.68", - "speaker": "Student", - "dialogue": "So we're gonna want to label it all on here," - }, - { - "start": "19:14.84", - "stop": "19:15.92", - "speaker": "Student", - "dialogue": "Right the miles," - }, - { - "start": "19:16.08", - "stop": "19:16.64", - "speaker": "Student", - "dialogue": "The hours," - }, - { - "start": "19:16.76", - "stop": "19:17.32", - "speaker": "Student", - "dialogue": "The dots." - }, - { - "start": "19:18.16", - "stop": "19:18.52", - "speaker": "Tutor", - "dialogue": "You know," - }, - { - "start": "19:18.72", - "stop": "19:18.76", - "speaker": "Tutor", - "dialogue": "But." - }, - { - "start": "19:18.88", - "stop": "19:18.92", - "speaker": "Student", - "dialogue": "I," - }, - { - "start": "19:19.28", - "stop": "19:21.76", - "speaker": "Student", - "dialogue": "I hear you thinking about what's the best way to do that." - }, - { - "start": "19:22.60", - "stop": "19:26.76", - "speaker": "Tutor", - "dialogue": "Do I write like how much it took or do I write like the total trip?" - }, - { - "start": "19:28.20", - "stop": "19:28.84", - "speaker": "Student", - "dialogue": "Great question," - }, - { - "start": "19:29.80", - "stop": "19:33.64", - "speaker": "Student", - "dialogue": "We want to think about each section of the trip right now." - }, - { - "start": "19:34.44", - "stop": "19:34.76", - "speaker": "Tutor", - "dialogue": "Na." - }, - { - "start": "19:37.40", - "stop": "19:39.04", - "speaker": "Student", - "dialogue": "So what?" - }, - { - "start": "19:39.68", - "stop": "19:42.12", - "speaker": "Student", - "dialogue": "How much did the time increase from C to D?" - }, - { - "start": "19:42.80", - "stop": "19:45.44", - "speaker": "Student", - "dialogue": "And how much did the distance increase from to D?" - }, - { - "start": "19:50.04", - "stop": "19:51.80", - "speaker": "Tutor", - "dialogue": "To D increased one hour." - }, - { - "start": "19:55.60", - "stop": "19:58.60", - "speaker": "Student", - "dialogue": "And how much distance did the car travel fromf?" - }, - { - "start": "19:59.36", - "stop": "19:59.40", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "20:02.20", - "stop": "20:02.24", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "20:02.52", - "stop": "20:02.80", - "speaker": "Tutor", - "dialogue": "Label." - }, - { - "start": "20:02.88", - "stop": "20:06.48", - "speaker": "Student", - "dialogue": "Point label that in any way that makes sense for you." - }, - { - "start": "20:08.40", - "stop": "20:08.60", - "speaker": "Tutor", - "dialogue": "Each." - }, - { - "start": "20:08.92", - "stop": "20:10.16", - "speaker": "Student", - "dialogue": "Section of the trip." - }, - { - "start": "20:15.80", - "stop": "20:16.24", - "speaker": "Tutor", - "dialogue": "Likeg that." - }, - { - "start": "20:20.48", - "stop": "20:26.04", - "speaker": "Student", - "dialogue": "So a hundred miles is keeping track of what?" - }, - { - "start": "20:26.76", - "stop": "20:27.72", - "speaker": "Tutor", - "dialogue": "Oh fifty," - }, - { - "start": "20:28.20", - "stop": "20:28.48", - "speaker": "Tutor", - "dialogue": "Sorry." - }, - { - "start": "20:36.40", - "stop": "20:36.64", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "20:36.72", - "stop": "20:37.72", - "speaker": "Student", - "dialogue": "So from C to D," - }, - { - "start": "20:38.40", - "stop": "20:40.24", - "speaker": "Student", - "dialogue": "It's one hour and fifty miles." - }, - { - "start": "20:45.48", - "stop": "20:45.52", - "speaker": "Tutor", - "dialogue": "This." - }, - { - "start": "20:48.68", - "stop": "20:49.00", - "speaker": "Tutor", - "dialogue": "Happening?" - }, - { - "start": "20:49.08", - "stop": "20:50.32", - "speaker": "Student", - "dialogue": "With the car from D to E." - }, - { - "start": "20:53.88", - "stop": "20:54.00", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "20:56.32", - "stop": "20:56.52", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "20:56.60", - "stop": "20:56.84", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "20:56.92", - "stop": "20:58.60", - "speaker": "Tutor", - "dialogue": "They kept driving for a way longer." - }, - { - "start": "21:00.28", - "stop": "21:01.80", - "speaker": "Student", - "dialogue": "Longer distance or longer time?" - }, - { - "start": "21:02.60", - "stop": "21:02.88", - "speaker": "Tutor", - "dialogue": "Both." - }, - { - "start": "21:04.12", - "stop": "21:04.56", - "speaker": "Student", - "dialogue": "How know?" - }, - { - "start": "21:06.28", - "stop": "21:17.64", - "speaker": "Tutor", - "dialogue": "Cause E looks like it's at one thirty and it also looks like they've been driving for three hours and a half or not actal." - }, - { - "start": "21:17.96", - "stop": "21:18.00", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "21:18.32", - "stop": "21:18.96", - "speaker": "Tutor", - "dialogue": "So they only d." - }, - { - "start": "21:19.52", - "stop": "21:20.60", - "speaker": "Tutor", - "dialogue": "They drove another hour," - }, - { - "start": "21:22.76", - "stop": "21:26.04", - "speaker": "Tutor", - "dialogue": "But they drove thirty miles," - }, - { - "start": "21:26.20", - "stop": "21:28.52", - "speaker": "Tutor", - "dialogue": "Which is lesss weird." - }, - { - "start": "21:29.76", - "stop": "21:30.32", - "speaker": "Student", - "dialogue": "That's weird," - }, - { - "start": "21:30.92", - "stop": "21:33.80", - "speaker": "Student", - "dialogue": "So I'm going to write down what you said over here." - }, - { - "start": "21:37.40", - "stop": "21:37.44", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "21:37.72", - "stop": "21:37.96", - "speaker": "Student", - "dialogue": "Said." - }, - { - "start": "21:40.36", - "stop": "21:40.48", - "speaker": "Tutor", - "dialogue": "They." - }, - { - "start": "21:40.72", - "stop": "21:43.08", - "speaker": "Student", - "dialogue": "Drod thirty miles." - }, - { - "start": "21:45.28", - "stop": "21:45.32", - "speaker": "Tutor", - "dialogue": "In." - }, - { - "start": "21:45.52", - "stop": "21:45.96", - "speaker": "Student", - "dialogue": "One hour." - }, - { - "start": "21:47.08", - "stop": "21:47.24", - "speaker": "Tutor", - "dialogue": "Yes." - }, - { - "start": "21:48.84", - "stop": "21:49.56", - "speaker": "Student", - "dialogue": "Which is weird?" - }, - { - "start": "21:50.44", - "stop": "21:51.52", - "speaker": "Tutor", - "dialogue": "Maybe there's traffic." - }, - { - "start": "21:52.44", - "stop": "21:53.20", - "speaker": "Student", - "dialogue": "What makes it weird?" - }, - { - "start": "21:53.28", - "stop": "21:54.60", - "speaker": "Student", - "dialogue": "What's different about this segment?" - }, - { - "start": "21:56.84", - "stop": "21:59.84", - "speaker": "Tutor", - "dialogue": "Because now they're probably like over here," - }, - { - "start": "21:59.92", - "stop": "22:01.56", - "speaker": "Tutor", - "dialogue": "So they're getting near the turnpike," - }, - { - "start": "22:01.60", - "stop": "22:02.84", - "speaker": "Tutor", - "dialogue": "And they're getting near the city," - }, - { - "start": "22:02.92", - "stop": "22:04.00", - "speaker": "Tutor", - "dialogue": "So maybe there's traffic." - }, - { - "start": "22:05.36", - "stop": "22:08.48", - "speaker": "Student", - "dialogue": "And what would traffic do to their distance and their time?" - }, - { - "start": "22:09.52", - "stop": "22:11.72", - "speaker": "Tutor", - "dialogue": "They'll go slowercause," - }, - { - "start": "22:11.92", - "stop": "22:14.20", - "speaker": "Tutor", - "dialogue": "There's a lot of cars and they won't be going as fast." - }, - { - "start": "22:15.04", - "stop": "22:15.24", - "speaker": "Student", - "dialogue": "Ah," - }, - { - "start": "22:15.56", - "stop": "22:16.52", - "speaker": "Student", - "dialogue": "You're thinking about speed." - }, - { - "start": "22:16.64", - "stop": "22:16.80", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "22:17.44", - "stop": "22:17.48", - "speaker": "Student", - "dialogue": "Y," - }, - { - "start": "22:17.88", - "stop": "22:20.16", - "speaker": "Student", - "dialogue": "And we're not actually measuring speed on this graph," - }, - { - "start": "22:20.36", - "stop": "22:21.92", - "speaker": "Student", - "dialogue": "But you're starting to think about speed." - }, - { - "start": "22:22.52", - "stop": "22:22.56", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "22:24.00", - "stop": "22:29.40", - "speaker": "Student", - "dialogue": "So if they are going thirty miles and it takes them one hour?" - }, - { - "start": "22:31.44", - "stop": "22:32.88", - "speaker": "Student", - "dialogue": "From C to E to D," - }, - { - "start": "22:33.88", - "stop": "22:37.24", - "speaker": "Student", - "dialogue": "You said they travelled fifty miles in one hour." - }, - { - "start": "22:38.20", - "stop": "22:38.24", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "22:38.76", - "stop": "22:45.04", - "speaker": "Student", - "dialogue": "In which section isireed?" - }, - { - "start": "22:45.16", - "stop": "22:49.44", - "speaker": "Tutor", - "dialogue": "Greater N in C and D in B and C." - }, - { - "start": "22:51.44", - "stop": "22:52.36", - "speaker": "Student", - "dialogue": "From C to d," - }, - { - "start": "22:52.92", - "stop": "22:52.96", - "speaker": "Student", - "dialogue": "N," - }, - { - "start": "22:53.16", - "stop": "22:55.92", - "speaker": "Student", - "dialogue": "B to Ced is faster." - }, - { - "start": "22:56.28", - "stop": "22:56.60", - "speaker": "Tutor", - "dialogue": "Than D," - }, - { - "start": "22:57.04", - "stop": "23:02.52", - "speaker": "Tutor", - "dialogue": "N a b twocause." - }, - { - "start": "23:02.60", - "stop": "23:02.64", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "23:02.76", - "stop": "23:04.88", - "speaker": "Tutor", - "dialogue": "Went from zero to fifty," - }, - { - "start": "23:06.56", - "stop": "23:10.32", - "speaker": "Tutor", - "dialogue": "And B B C went to from fifty," - }, - { - "start": "23:10.40", - "stop": "23:10.84", - "speaker": "Tutor", - "dialogue": "And then C," - }, - { - "start": "23:11.20", - "stop": "23:12.48", - "speaker": "Tutor", - "dialogue": "D went from fifty," - }, - { - "start": "23:12.52", - "stop": "23:13.16", - "speaker": "Tutor", - "dialogue": "And then D," - }, - { - "start": "23:13.48", - "stop": "23:14.92", - "speaker": "Tutor", - "dialogue": "E only went to thirty." - }, - { - "start": "23:16.60", - "stop": "23:17.36", - "speaker": "Student", - "dialogue": "For the distance." - }, - { - "start": "23:17.84", - "stop": "23:17.88", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "23:18.16", - "stop": "23:22.80", - "speaker": "Tutor", - "dialogue": "And like as if you can see like the line is like squiggerly." - }, - { - "start": "23:22.88", - "stop": "23:23.88", - "speaker": "Tutor", - "dialogue": "Now it's not straight," - }, - { - "start": "23:24.68", - "stop": "23:25.52", - "speaker": "Tutor", - "dialogue": "Then the other two." - }, - { - "start": "23:25.96", - "stop": "23:26.88", - "speaker": "Student", - "dialogue": "What does that matter?" - }, - { - "start": "23:28.32", - "stop": "23:28.56", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "23:28.68", - "stop": "23:32.04", - "speaker": "Tutor", - "dialogue": "Maybe like Hm." - }, - { - "start": "23:32.60", - "stop": "23:33.24", - "speaker": "Tutor", - "dialogue": "I'm not sure." - }, - { - "start": "23:33.52", - "stop": "23:34.40", - "speaker": "Tutor", - "dialogue": "Like what would that mean?" - }, - { - "start": "23:36.44", - "stop": "23:36.60", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "23:36.68", - "stop": "23:40.00", - "speaker": "Tutor", - "dialogue": "Like they could like be going faster at one point," - }, - { - "start": "23:40.04", - "stop": "23:42.04", - "speaker": "Tutor", - "dialogue": "And they go slower and faster Th slower." - }, - { - "start": "23:43.40", - "stop": "23:43.84", - "speaker": "Student", - "dialogue": "And in C," - }, - { - "start": "23:44.08", - "stop": "23:44.24", - "speaker": "Student", - "dialogue": "The D," - }, - { - "start": "23:44.88", - "stop": "23:46.12", - "speaker": "Student", - "dialogue": "The line is just straight," - }, - { - "start": "23:46.44", - "stop": "23:46.48", - "speaker": "Student", - "dialogue": "So." - }, - { - "start": "23:48.52", - "stop": "23:48.68", - "speaker": "Tutor", - "dialogue": "There," - }, - { - "start": "23:49.48", - "stop": "23:52.48", - "speaker": "Tutor", - "dialogue": "In an houraday go at the same time for the rest Ou." - }, - { - "start": "23:53.48", - "stop": "23:54.68", - "speaker": "Student", - "dialogue": "Do you know what that's called?" - }, - { - "start": "23:55.32", - "stop": "23:56.64", - "speaker": "Student", - "dialogue": "If from C to E?" - }, - { - "start": "23:57.12", - "stop": "23:57.56", - "speaker": "Student", - "dialogue": "I'm sorry," - }, - { - "start": "23:57.96", - "stop": "23:58.72", - "speaker": "Student", - "dialogue": "C to D." - }, - { - "start": "24:00.12", - "stop": "24:01.16", - "speaker": "Student", - "dialogue": "That straight line." - }, - { - "start": "24:02.84", - "stop": "24:02.88", - "speaker": "Tutor", - "dialogue": "Do?" - }, - { - "start": "24:03.00", - "stop": "24:07.04", - "speaker": "Student", - "dialogue": "You know what it's called whenever they are going at the same speed," - }, - { - "start": "24:08.40", - "stop": "24:09.80", - "speaker": "Student", - "dialogue": "Meaning they're not stopping and stopping." - }, - { - "start": "24:09.80", - "stop": "24:11.12", - "speaker": "Student", - "dialogue": "Do you know the math way to describe that?" - }, - { - "start": "24:12.08", - "stop": "24:12.24", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "24:12.80", - "stop": "24:13.44", - "speaker": "Student", - "dialogue": "It's called a," - }, - { - "start": "24:13.80", - "stop": "24:15.08", - "speaker": "Student", - "dialogue": "Maybe a constant rate." - }, - { - "start": "24:16.76", - "stop": "24:16.80", - "speaker": "Tutor", - "dialogue": "Have?" - }, - { - "start": "24:16.92", - "stop": "24:17.84", - "speaker": "Student", - "dialogue": "You ever heard that term?" - }, - { - "start": "24:18.48", - "stop": "24:18.52", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "24:20.12", - "stop": "24:22.68", - "speaker": "Student", - "dialogue": "Or we can think about this with slope." - }, - { - "start": "24:24.04", - "stop": "24:24.40", - "speaker": "Tutor", - "dialogue": "Slope," - }, - { - "start": "24:24.52", - "stop": "24:24.56", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "24:24.84", - "stop": "24:25.52", - "speaker": "Tutor", - "dialogue": "What I heard." - }, - { - "start": "24:25.56", - "stop": "24:25.72", - "speaker": "Student", - "dialogue": "Them," - }, - { - "start": "24:25.88", - "stop": "24:26.64", - "speaker": "Student", - "dialogue": "What does that mean?" - }, - { - "start": "24:27.60", - "stop": "24:28.00", - "speaker": "Tutor", - "dialogue": "Slope," - }, - { - "start": "24:28.40", - "stop": "24:28.44", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "24:35.64", - "stop": "24:36.32", - "speaker": "Student", - "dialogue": "Describes." - }, - { - "start": "24:36.68", - "stop": "24:38.24", - "speaker": "Tutor", - "dialogue": "Like the line," - }, - { - "start": "24:39.92", - "stop": "24:43.40", - "speaker": "Tutor", - "dialogue": "Like how far it's gone or how long or how long it's gone." - }, - { - "start": "24:45.88", - "stop": "24:47.68", - "speaker": "Student", - "dialogue": "So it describes both of those." - }, - { - "start": "24:48.00", - "stop": "24:48.04", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "24:48.36", - "stop": "25:00.40", - "speaker": "Student", - "dialogue": "It describes the relationship between how long it takes the car or how how many hours the car has traveled and how much distance the car has traveled." - }, - { - "start": "25:01.56", - "stop": "25:01.60", - "speaker": "Tutor", - "dialogue": "Y." - }, - { - "start": "25:01.96", - "stop": "25:04.64", - "speaker": "Student", - "dialogue": "That relationship we can think of as the slope." - }, - { - "start": "25:05.96", - "stop": "25:06.00", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "25:06.16", - "stop": "25:06.84", - "speaker": "Student", - "dialogue": "In C to d," - }, - { - "start": "25:07.52", - "stop": "25:08.60", - "speaker": "Student", - "dialogue": "It's a straight line," - }, - { - "start": "25:09.52", - "stop": "25:10.20", - "speaker": "Student", - "dialogue": "Which means." - }, - { - "start": "25:12.72", - "stop": "25:12.76", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "25:12.92", - "stop": "25:14.64", - "speaker": "Student", - "dialogue": "Car is going at the same speed," - }, - { - "start": "25:15.48", - "stop": "25:18.04", - "speaker": "Student", - "dialogue": "Or it has a constant slope," - }, - { - "start": "25:18.36", - "stop": "25:20.16", - "speaker": "Student", - "dialogue": "Constant rat to change D to e." - }, - { - "start": "25:21.08", - "stop": "25:21.92", - "speaker": "Student", - "dialogue": "It's squiggly." - }, - { - "start": "25:23.64", - "stop": "25:24.80", - "speaker": "Student", - "dialogue": "Is it the same slope," - }, - { - "start": "25:24.88", - "stop": "25:25.60", - "speaker": "Student", - "dialogue": "Or is it different?" - }, - { - "start": "25:26.60", - "stop": "25:26.96", - "speaker": "Tutor", - "dialogue": "Different." - }, - { - "start": "25:27.28", - "stop": "25:27.60", - "speaker": "Student", - "dialogue": "Different." - }, - { - "start": "25:27.80", - "stop": "25:28.04", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "25:28.56", - "stop": "25:28.92", - "speaker": "Tutor", - "dialogue": "It's like." - }, - { - "start": "25:30.16", - "stop": "25:30.40", - "speaker": "Tutor", - "dialogue": "I mean," - }, - { - "start": "25:30.52", - "stop": "25:32.44", - "speaker": "Tutor", - "dialogue": "There are some parts that are like the same," - }, - { - "start": "25:32.52", - "stop": "25:36.00", - "speaker": "Tutor", - "dialogue": "But like mostly it's differentcause like they go up and down." - }, - { - "start": "25:36.64", - "stop": "25:36.68", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "25:37.00", - "stop": "25:38.64", - "speaker": "Student", - "dialogue": "So it's not a constant rate?" - }, - { - "start": "25:39.48", - "stop": "25:39.52", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "25:40.00", - "stop": "25:41.44", - "speaker": "Student", - "dialogue": "It's different in the way you described it," - }, - { - "start": "25:41.52", - "stop": "25:43.16", - "speaker": "Student", - "dialogue": "As the car may be starting and stopping," - }, - { - "start": "25:43.56", - "stop": "25:44.44", - "speaker": "Student", - "dialogue": "But from C a d," - }, - { - "start": "25:44.64", - "stop": "25:46.12", - "speaker": "Student", - "dialogue": "It's like cruise control was set." - }, - { - "start": "25:47.56", - "stop": "25:47.76", - "speaker": "Tutor", - "dialogue": "Just." - }, - { - "start": "25:47.76", - "stop": "25:48.28", - "speaker": "Student", - "dialogue": "Was the same?" - }, - { - "start": "25:48.36", - "stop": "25:48.76", - "speaker": "Student", - "dialogue": "What about A?" - }, - { - "start": "25:48.96", - "stop": "25:49.12", - "speaker": "Student", - "dialogue": "To me?" - }, - { - "start": "25:49.44", - "stop": "25:54.24", - "speaker": "Student", - "dialogue": "What could you think about the the slope or the rate of change or any of that stuff there?" - }, - { - "start": "25:55.92", - "stop": "26:00.04", - "speaker": "Tutor", - "dialogue": "They have a constant rate because they wouldn't at the same speed a mile." - }, - { - "start": "26:01.44", - "stop": "26:01.92", - "speaker": "Student", - "dialogue": "Very cool," - }, - { - "start": "26:02.36", - "stop": "26:03.52", - "speaker": "Student", - "dialogue": "Cool use of mathwords." - }, - { - "start": "26:03.88", - "stop": "26:04.88", - "speaker": "Student", - "dialogue": "What about F?" - }, - { - "start": "26:07.28", - "stop": "26:07.44", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "26:08.52", - "stop": "26:09.28", - "speaker": "Tutor", - "dialogue": "Constant rate," - }, - { - "start": "26:09.60", - "stop": "26:10.64", - "speaker": "Tutor", - "dialogue": "'cause like it shows." - }, - { - "start": "26:11.16", - "stop": "26:11.40", - "speaker": "Tutor", - "dialogue": "I mean," - }, - { - "start": "26:11.48", - "stop": "26:12.56", - "speaker": "Tutor", - "dialogue": "Obviously like they went." - }, - { - "start": "26:14.20", - "stop": "26:14.24", - "speaker": "Tutor", - "dialogue": "Uh," - }, - { - "start": "26:14.80", - "stop": "26:16.92", - "speaker": "Tutor", - "dialogue": "They went quicker because it was barely." - }, - { - "start": "26:17.20", - "stop": "26:20.24", - "speaker": "Tutor", - "dialogue": "It was only ten more more miles l to our destination." - }, - { - "start": "26:21.32", - "stop": "26:21.56", - "speaker": "Tutor", - "dialogue": "But yeah," - }, - { - "start": "26:21.76", - "stop": "26:22.60", - "speaker": "Tutor", - "dialogue": "It's a constant rate." - }, - { - "start": "26:22.64", - "stop": "26:23.28", - "speaker": "Tutor", - "dialogue": "I'm pretty sure," - }, - { - "start": "26:23.48", - "stop": "26:24.88", - "speaker": "Tutor", - "dialogue": "'cause like it's a straight line." - }, - { - "start": "26:25.32", - "stop": "26:25.52", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "26:25.56", - "stop": "26:26.56", - "speaker": "Student", - "dialogue": "So if it's a straight line," - }, - { - "start": "26:26.60", - "stop": "26:27.64", - "speaker": "Student", - "dialogue": "It's a constant rate." - }, - { - "start": "26:28.12", - "stop": "26:29.00", - "speaker": "Student", - "dialogue": "If it's squiggly," - }, - { - "start": "26:29.04", - "stop": "26:29.32", - "speaker": "Student", - "dialogue": "It's not." - }, - { - "start": "26:30.96", - "stop": "26:31.60", - "speaker": "Tutor", - "dialogue": "Is that num?" - }, - { - "start": "26:32.56", - "stop": "26:32.60", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "26:33.92", - "stop": "26:36.64", - "speaker": "Student", - "dialogue": "If you look at just the slopes of the lines," - }, - { - "start": "26:37.52", - "stop": "26:41.04", - "speaker": "Student", - "dialogue": "Can you tell if the car is going faster or slower in a section?" - }, - { - "start": "26:43.56", - "stop": "26:43.60", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "26:43.88", - "stop": "26:46.00", - "speaker": "Student", - "dialogue": "From A to B and B to C." - }, - { - "start": "26:48.24", - "stop": "26:48.28", - "speaker": "Tutor", - "dialogue": "Do?" - }, - { - "start": "26:48.36", - "stop": "26:53.24", - "speaker": "Student", - "dialogue": "You think the car is travelling at the same speed in each of those sections or is from?" - }, - { - "start": "26:53.28", - "stop": "26:54.32", - "speaker": "Tutor", - "dialogue": "Ad B fasterm." - }, - { - "start": "26:55.36", - "stop": "26:55.56", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "26:55.60", - "stop": "26:55.84", - "speaker": "Tutor", - "dialogue": "A D." - }, - { - "start": "26:56.00", - "stop": "26:56.04", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "26:56.84", - "stop": "26:58.68", - "speaker": "Student", - "dialogue": "A to B and C to D." - }, - { - "start": "27:00.08", - "stop": "27:00.12", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "27:03.00", - "stop": "27:03.04", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "27:04.04", - "stop": "27:05.32", - "speaker": "Tutor", - "dialogue": "They're going at the same speed," - }, - { - "start": "27:05.44", - "stop": "27:06.04", - "speaker": "Tutor", - "dialogue": "But they haven't." - }, - { - "start": "27:06.16", - "stop": "27:08.16", - "speaker": "Tutor", - "dialogue": "They covered more miles." - }, - { - "start": "27:11.04", - "stop": "27:12.76", - "speaker": "Student", - "dialogue": "How do you know they're going at the same speed?" - }, - { - "start": "27:13.96", - "stop": "27:14.16", - "speaker": "Tutor", - "dialogue": "Caause," - }, - { - "start": "27:14.32", - "stop": "27:15.20", - "speaker": "Tutor", - "dialogue": "It's a straight line." - }, - { - "start": "27:17.16", - "stop": "27:19.84", - "speaker": "Student", - "dialogue": "But B to C is also a straight line." - }, - { - "start": "27:20.00", - "stop": "27:21.60", - "speaker": "Student", - "dialogue": "Are they going at the same speed there?" - }, - { - "start": "27:23.76", - "stop": "27:23.80", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "27:26.56", - "stop": "27:32.44", - "speaker": "Student", - "dialogue": "So the speed from A to B and B to C and C to D is exactly the same speed." - }, - { - "start": "27:35.16", - "stop": "27:35.88", - "speaker": "Tutor", - "dialogue": "I'm pretty sure." - }, - { - "start": "27:37.24", - "stop": "27:37.80", - "speaker": "Student", - "dialogue": "Pretty sure," - }, - { - "start": "27:38.00", - "stop": "27:40.20", - "speaker": "Student", - "dialogue": "Or that's your what you're thinking right now," - }, - { - "start": "27:40.28", - "stop": "27:40.88", - "speaker": "Student", - "dialogue": "But not sure." - }, - { - "start": "27:42.36", - "stop": "27:42.80", - "speaker": "Tutor", - "dialogue": "Well mean," - }, - { - "start": "27:42.92", - "stop": "27:43.92", - "speaker": "Tutor", - "dialogue": "You're making me think." - }, - { - "start": "27:45.32", - "stop": "27:45.72", - "speaker": "Student", - "dialogue": "Beautiful," - }, - { - "start": "27:45.80", - "stop": "27:46.76", - "speaker": "Student", - "dialogue": "I wanna make you think." - }, - { - "start": "27:48.76", - "stop": "27:50.88", - "speaker": "Tutor", - "dialogue": "I don't knowks it looks like it," - }, - { - "start": "27:51.08", - "stop": "27:53.84", - "speaker": "Tutor", - "dialogue": "'cause like they all have a they," - }, - { - "start": "27:53.96", - "stop": "27:55.20", - "speaker": "Tutor", - "dialogue": "They all have a straight line," - }, - { - "start": "27:55.56", - "stop": "27:56.64", - "speaker": "Tutor", - "dialogue": "So I'm not sure." - }, - { - "start": "28:00.88", - "stop": "28:00.92", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "28:15.12", - "stop": "28:15.16", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "28:15.56", - "stop": "28:15.84", - "speaker": "Tutor", - "dialogue": "Pretty." - }, - { - "start": "28:15.88", - "stop": "28:16.04", - "speaker": "Student", - "dialogue": "Sure." - }, - { - "start": "28:16.08", - "stop": "28:16.88", - "speaker": "Tutor", - "dialogue": "It's a straight line." - }, - { - "start": "28:17.36", - "stop": "28:19.16", - "speaker": "Student", - "dialogue": "So let's pretend like that's a straight line." - }, - { - "start": "28:19.84", - "stop": "28:19.88", - "speaker": "Tutor", - "dialogue": "A." - }, - { - "start": "28:20.56", - "stop": "28:20.72", - "speaker": "Student", - "dialogue": "Ok," - }, - { - "start": "28:22.72", - "stop": "28:26.92", - "speaker": "Student", - "dialogue": "Is this line steeper or flatter," - }, - { - "start": "28:27.80", - "stop": "28:29.84", - "speaker": "Student", - "dialogue": "Or the same as A to B?" - }, - { - "start": "28:31.52", - "stop": "28:31.96", - "speaker": "Tutor", - "dialogue": "Steeper." - }, - { - "start": "28:33.36", - "stop": "28:34.52", - "speaker": "Student", - "dialogue": "What makes it steeper?" - }, - { - "start": "28:36.12", - "stop": "28:37.96", - "speaker": "Tutor", - "dialogue": "Going down and also going up." - }, - { - "start": "28:38.76", - "stop": "28:38.96", - "speaker": "Student", - "dialogue": "Ok," - }, - { - "start": "28:39.76", - "stop": "28:41.76", - "speaker": "Student", - "dialogue": "That's helpful for me to understand how you're thinking." - }, - { - "start": "28:42.28", - "stop": "28:43.48", - "speaker": "Student", - "dialogue": "I'm going to take that out now." - }, - { - "start": "28:47.16", - "stop": "28:48.76", - "speaker": "Tutor", - "dialogue": "Want to remove this?" - }, - { - "start": "28:52.32", - "stop": "28:52.60", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "28:52.84", - "stop": "28:57.76", - "speaker": "Student", - "dialogue": "Let's go back to labeling where you think E would be on this map," - }, - { - "start": "28:57.96", - "stop": "28:59.56", - "speaker": "Student", - "dialogue": "And where F would be on this map." - }, - { - "start": "29:02.52", - "stop": "29:02.56", - "speaker": "Tutor", - "dialogue": "Uh," - }, - { - "start": "29:04.52", - "stop": "29:05.24", - "speaker": "Tutor", - "dialogue": "O deda E," - }, - { - "start": "29:05.48", - "stop": "29:09.12", - "speaker": "Tutor", - "dialogue": "S probably like eak arong." - }, - { - "start": "29:10.92", - "stop": "29:10.96", - "speaker": "Tutor", - "dialogue": "S." - }, - { - "start": "29:12.80", - "stop": "29:13.04", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "29:13.16", - "stop": "29:13.60", - "speaker": "Tutor", - "dialogue": "A sctually." - }, - { - "start": "29:13.68", - "stop": "29:14.00", - "speaker": "Tutor", - "dialogue": "Hold on." - }, - { - "start": "29:14.96", - "stop": "29:15.68", - "speaker": "Tutor", - "dialogue": "I probably like." - }, - { - "start": "29:17.76", - "stop": "29:19.12", - "speaker": "Tutor", - "dialogue": "I probably placed it wrong." - }, - { - "start": "29:22.32", - "stop": "29:23.80", - "speaker": "Student", - "dialogue": "Are you saying you want to change anything?" - }, - { - "start": "29:28.00", - "stop": "29:29.20", - "speaker": "Tutor", - "dialogue": "D like over here." - }, - { - "start": "29:29.68", - "stop": "29:29.72", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "29:29.96", - "stop": "29:31.20", - "speaker": "Student", - "dialogue": "You can move yourself around." - }, - { - "start": "29:31.84", - "stop": "29:37.28", - "speaker": "Student", - "dialogue": "The Pol thing about problem solving is you can always change and revise just like whenever you're reading a paper." - }, - { - "start": "29:37.44", - "stop": "29:40.92", - "speaker": "Student", - "dialogue": "Math is the same way you can edit change and revise at any time." - }, - { - "start": "30:01.56", - "stop": "30:01.84", - "speaker": "Tutor", - "dialogue": "Sorry." - }, - { - "start": "30:02.16", - "stop": "30:02.64", - "speaker": "Student", - "dialogue": "You're fine." - }, - { - "start": "30:02.76", - "stop": "30:03.96", - "speaker": "Student", - "dialogue": "I'm just helping you clean up." - }, - { - "start": "30:04.80", - "stop": "30:04.96", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "30:05.96", - "stop": "30:06.76", - "speaker": "Tutor", - "dialogue": "What was that again?" - }, - { - "start": "30:07.00", - "stop": "30:08.60", - "speaker": "Tutor", - "dialogue": "E D a E." - }, - { - "start": "30:13.84", - "stop": "30:14.40", - "speaker": "Tutor", - "dialogue": "One hour?" - }, - { - "start": "30:19.80", - "stop": "30:19.84", - "speaker": "Tutor", - "dialogue": "O?" - }, - { - "start": "30:20.00", - "stop": "30:20.04", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "30:20.20", - "stop": "30:27.16", - "speaker": "Tutor", - "dialogue": "I think it's wrong because if fifty miles is like this and house house," - }, - { - "start": "30:27.40", - "stop": "30:31.32", - "speaker": "Tutor", - "dialogue": "Thirty miles gonna be longer than fifty," - }, - { - "start": "30:34.56", - "stop": "30:37.24", - "speaker": "Tutor", - "dialogue": "Nothing I to delete thisch." - }, - { - "start": "30:37.60", - "stop": "30:37.64", - "speaker": "Student", - "dialogue": "Do?" - }, - { - "start": "30:37.76", - "stop": "30:38.24", - "speaker": "Tutor", - "dialogue": "I press," - }, - { - "start": "30:38.40", - "stop": "30:40.24", - "speaker": "Tutor", - "dialogue": "Do I frest remove everything from board?" - }, - { - "start": "30:40.88", - "stop": "30:41.76", - "speaker": "Student", - "dialogue": "If you remove everything," - }, - { - "start": "30:41.80", - "stop": "30:42.76", - "speaker": "Student", - "dialogue": "It's going to clear everything." - }, - { - "start": "30:42.92", - "stop": "30:44.04", - "speaker": "Student", - "dialogue": "If you want to clear everything," - }, - { - "start": "30:44.08", - "stop": "30:45.88", - "speaker": "Student", - "dialogue": "That's fine if you want even." - }, - { - "start": "30:45.96", - "stop": "30:46.00", - "speaker": "Tutor", - "dialogue": "Like," - }, - { - "start": "30:46.40", - "stop": "30:47.84", - "speaker": "Tutor", - "dialogue": "Even like the the graph." - }, - { - "start": "30:48.28", - "stop": "30:51.32", - "speaker": "Student", - "dialogue": "It will not um remove the blue part of the graph that will stay." - }, - { - "start": "30:57.32", - "stop": "30:57.48", - "speaker": "Tutor", - "dialogue": "Mm," - }, - { - "start": "30:59.16", - "stop": "30:59.80", - "speaker": "Tutor", - "dialogue": "I'm just gon to." - }, - { - "start": "31:00.24", - "stop": "31:02.60", - "speaker": "Student", - "dialogue": "Something over here real quick because we're not going to do this one yet." - }, - { - "start": "31:04.20", - "stop": "31:09.16", - "speaker": "Tutor", - "dialogue": "So fifty miles probably be like around here," - }, - { - "start": "31:09.76", - "stop": "31:11.24", - "speaker": "Tutor", - "dialogue": "An't you know the go arond here?" - }, - { - "start": "31:17.44", - "stop": "31:18.96", - "speaker": "Student", - "dialogue": "So when you're labeling right now," - }, - { - "start": "31:19.84", - "stop": "31:20.92", - "speaker": "Student", - "dialogue": "Just label the points." - }, - { - "start": "31:21.32", - "stop": "31:22.44", - "speaker": "Student", - "dialogue": "Just put the letters a," - }, - { - "start": "31:22.60", - "stop": "31:22.64", - "speaker": "Student", - "dialogue": "B," - }, - { - "start": "31:22.88", - "stop": "31:22.92", - "speaker": "Student", - "dialogue": "C," - }, - { - "start": "31:23.20", - "stop": "31:23.24", - "speaker": "Student", - "dialogue": "D," - }, - { - "start": "31:23.48", - "stop": "31:23.52", - "speaker": "Student", - "dialogue": "E," - }, - { - "start": "31:23.72", - "stop": "31:23.76", - "speaker": "Student", - "dialogue": "N," - }, - { - "start": "31:23.92", - "stop": "31:23.96", - "speaker": "Student", - "dialogue": "F." - }, - { - "start": "31:25.04", - "stop": "31:25.24", - "speaker": "Tutor", - "dialogue": "Right," - }, - { - "start": "31:36.36", - "stop": "31:38.88", - "speaker": "Tutor", - "dialogue": "So right here I put B y C." - }, - { - "start": "31:39.80", - "stop": "31:41.32", - "speaker": "Student", - "dialogue": "Just not one." - }, - { - "start": "31:41.68", - "stop": "31:41.72", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "31:42.20", - "stop": "31:44.48", - "speaker": "Student", - "dialogue": "So right now like you put a dot here?" - }, - { - "start": "31:45.08", - "stop": "31:45.64", - "speaker": "Student", - "dialogue": "Is that dot," - }, - { - "start": "31:45.76", - "stop": "31:47.88", - "speaker": "Student", - "dialogue": "This dot or this dot or this B?" - }, - { - "start": "31:48.36", - "stop": "31:48.64", - "speaker": "Student", - "dialogue": "It's B." - }, - { - "start": "31:49.48", - "stop": "31:49.52", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "31:49.84", - "stop": "31:50.08", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "31:50.12", - "stop": "31:50.96", - "speaker": "Student", - "dialogue": "So just put B." - }, - { - "start": "31:51.96", - "stop": "31:52.08", - "speaker": "Tutor", - "dialogue": "Right," - }, - { - "start": "31:52.88", - "stop": "31:54.28", - "speaker": "Tutor", - "dialogue": "So and the other one?" - }, - { - "start": "31:55.28", - "stop": "31:55.96", - "speaker": "Tutor", - "dialogue": "The other one's C." - }, - { - "start": "31:56.28", - "stop": "31:56.40", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "31:56.48", - "stop": "31:56.52", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "32:01.00", - "stop": "32:01.16", - "speaker": "Tutor", - "dialogue": "We." - }, - { - "start": "32:01.36", - "stop": "32:01.48", - "speaker": "Tutor", - "dialogue": "Is it?" - }, - { - "start": "32:26.96", - "stop": "32:29.96", - "speaker": "Tutor", - "dialogue": "Wait it wrong again." - }, - { - "start": "32:56.88", - "stop": "32:57.08", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "32:57.32", - "stop": "32:58.32", - "speaker": "Tutor", - "dialogue": "Thats I did wrong." - }, - { - "start": "32:59.92", - "stop": "33:00.04", - "speaker": "Student", - "dialogue": "Think." - }, - { - "start": "33:01.56", - "stop": "33:04.92", - "speaker": "Tutor", - "dialogue": "'cause I put C also for like the another dot," - }, - { - "start": "33:05.00", - "stop": "33:05.52", - "speaker": "Tutor", - "dialogue": "I put C," - }, - { - "start": "33:05.76", - "stop": "33:08.32", - "speaker": "Tutor", - "dialogue": "But I shouldn't because C and B didn't move." - }, - { - "start": "33:08.52", - "stop": "33:09.84", - "speaker": "Tutor", - "dialogue": "I mean C didn't move." - }, - { - "start": "33:10.36", - "stop": "33:10.56", - "speaker": "Tutor", - "dialogue": "It's." - }, - { - "start": "33:10.60", - "stop": "33:11.88", - "speaker": "Student", - "dialogue": "The same spot on the road." - }, - { - "start": "33:12.04", - "stop": "33:12.08", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "33:12.36", - "stop": "33:14.56", - "speaker": "Tutor", - "dialogue": "I dot was a whole different thing," - }, - { - "start": "33:14.96", - "stop": "33:15.12", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "33:15.44", - "stop": "33:16.20", - "speaker": "Student", - "dialogue": "And I challenge you," - }, - { - "start": "33:16.88", - "stop": "33:18.08", - "speaker": "Student", - "dialogue": "You didn't do it wrong." - }, - { - "start": "33:19.12", - "stop": "33:20.60", - "speaker": "Student", - "dialogue": "You are making sense of it," - }, - { - "start": "33:20.72", - "stop": "33:21.80", - "speaker": "Student", - "dialogue": "And you'r change in your mind." - }, - { - "start": "33:22.12", - "stop": "33:22.92", - "speaker": "Student", - "dialogue": "That's a beautiful thing." - }, - { - "start": "33:23.28", - "stop": "33:24.36", - "speaker": "Student", - "dialogue": "There's no right or wrong to that." - }, - { - "start": "33:25.08", - "stop": "33:26.48", - "speaker": "Tutor", - "dialogue": "I usqart a day wrong." - }, - { - "start": "33:27.44", - "stop": "33:28.68", - "speaker": "Student", - "dialogue": "Stoppi isn't the word wrong." - }, - { - "start": "33:53.28", - "stop": "33:54.76", - "speaker": "Student", - "dialogue": "Create some letters for you too," - }, - { - "start": "33:55.68", - "stop": "33:55.72", - "speaker": "Student", - "dialogue": "W." - }, - { - "start": "33:55.88", - "stop": "33:56.52", - "speaker": "Student", - "dialogue": "You put your dots," - }, - { - "start": "33:56.56", - "stop": "33:57.88", - "speaker": "Student", - "dialogue": "Then you can move 'em to where you want 'em." - }, - { - "start": "34:00.24", - "stop": "34:00.36", - "speaker": "Tutor", - "dialogue": "Does?" - }, - { - "start": "34:00.44", - "stop": "34:00.80", - "speaker": "Student", - "dialogue": "That work." - }, - { - "start": "34:01.40", - "stop": "34:01.44", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "34:12.76", - "stop": "34:13.56", - "speaker": "Tutor", - "dialogue": "Han I race." - }, - { - "start": "34:14.56", - "stop": "34:16.84", - "speaker": "Student", - "dialogue": "Click on the thing that you want or Um." - }, - { - "start": "34:17.52", - "stop": "34:19.76", - "speaker": "Student", - "dialogue": "There is a back arrow with an x in the middle of it." - }, - { - "start": "34:22.36", - "stop": "34:24.40", - "speaker": "Tutor", - "dialogue": "You remove current selection." - }, - { - "start": "34:25.00", - "stop": "34:25.16", - "speaker": "Student", - "dialogue": "Yes," - }, - { - "start": "34:25.68", - "stop": "34:28.88", - "speaker": "Student", - "dialogue": "So then you use your pointer arrow to click what you want to erase?" - }, - { - "start": "34:30.80", - "stop": "34:30.84", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "34:31.04", - "stop": "34:31.80", - "speaker": "Student", - "dialogue": "Like pointer Ar." - }, - { - "start": "34:32.48", - "stop": "34:32.52", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "34:33.20", - "stop": "34:36.16", - "speaker": "Student", - "dialogue": "Highlight what you want and then back arrow with an X." - }, - { - "start": "34:42.36", - "stop": "34:42.40", - "speaker": "Tutor", - "dialogue": "Or?" - }, - { - "start": "34:42.76", - "stop": "34:44.24", - "speaker": "Student", - "dialogue": "You can slide it and I," - }, - { - "start": "34:44.56", - "stop": "34:44.92", - "speaker": "Student", - "dialogue": "There you go." - }, - { - "start": "34:49.36", - "stop": "34:49.60", - "speaker": "Tutor", - "dialogue": "Would?" - }, - { - "start": "34:49.64", - "stop": "34:51.32", - "speaker": "Student", - "dialogue": "It be easier if it was an eraser tool." - }, - { - "start": "34:53.36", - "stop": "34:53.60", - "speaker": "Tutor", - "dialogue": "Mm," - }, - { - "start": "34:54.24", - "stop": "34:54.28", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "35:11.28", - "stop": "35:11.60", - "speaker": "Student", - "dialogue": "Alright," - }, - { - "start": "35:12.12", - "stop": "35:12.88", - "speaker": "Student", - "dialogue": "There's the letters." - }, - { - "start": "35:13.00", - "stop": "35:13.04", - "speaker": "Student", - "dialogue": "A," - }, - { - "start": "35:13.24", - "stop": "35:13.64", - "speaker": "Student", - "dialogue": "E n F." - }, - { - "start": "35:14.04", - "stop": "35:14.92", - "speaker": "Student", - "dialogue": "You can put them on." - }, - { - "start": "35:15.20", - "stop": "35:17.16", - "speaker": "Student", - "dialogue": "Pull 'em and put them on the map where you want." - }, - { - "start": "35:17.24", - "stop": "35:49.44", - "speaker": "Tutor", - "dialogue": "'em oh way," - }, - { - "start": "35:49.48", - "stop": "35:54.76", - "speaker": "Tutor", - "dialogue": "I t nin." - }, - { - "start": "35:58.08", - "stop": "35:58.72", - "speaker": "Student", - "dialogue": "N a s," - }, - { - "start": "35:58.96", - "stop": "35:59.24", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "36:00.68", - "stop": "36:01.68", - "speaker": "Tutor", - "dialogue": "Or at the beginning of that?" - }, - { - "start": "36:31.24", - "stop": "36:31.52", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "36:33.96", - "stop": "36:34.20", - "speaker": "Tutor", - "dialogue": "Where?" - }, - { - "start": "36:35.80", - "stop": "36:37.64", - "speaker": "Student", - "dialogue": "I'm gonna circle something on the graph." - }, - { - "start": "36:41.44", - "stop": "36:41.48", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "36:41.68", - "stop": "36:42.32", - "speaker": "Student", - "dialogue": "With yellow," - }, - { - "start": "36:43.16", - "stop": "36:49.92", - "speaker": "Student", - "dialogue": "I want you to show me where that segment of the tripre." - }, - { - "start": "36:50.76", - "stop": "36:51.52", - "speaker": "Tutor", - "dialogue": "Ad B." - }, - { - "start": "36:51.84", - "stop": "36:51.88", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "36:52.12", - "stop": "36:52.84", - "speaker": "Student", - "dialogue": "Draw out with yellow." - }, - { - "start": "36:52.96", - "stop": "36:54.08", - "speaker": "Student", - "dialogue": "Do you know how to change color?" - }, - { - "start": "36:55.24", - "stop": "36:55.28", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "36:56.44", - "stop": "36:58.60", - "speaker": "Tutor", - "dialogue": "So I just draw itut L the line." - }, - { - "start": "36:58.80", - "stop": "36:58.84", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "37:01.40", - "stop": "37:01.76", - "speaker": "Student", - "dialogue": "Exact." - }, - { - "start": "37:02.08", - "stop": "37:02.28", - "speaker": "Tutor", - "dialogue": "Yup." - }, - { - "start": "37:02.68", - "stop": "37:04.04", - "speaker": "Student", - "dialogue": "And in the yellow section," - }, - { - "start": "37:04.92", - "stop": "37:10.44", - "speaker": "Student", - "dialogue": "What do we know about how much distance and how much time has increased or decreased," - }, - { - "start": "37:11.24", - "stop": "37:12.04", - "speaker": "Student", - "dialogue": "Or stad the same?" - }, - { - "start": "37:12.76", - "stop": "37:14.28", - "speaker": "Tutor", - "dialogue": "Fifty miles in one hour," - }, - { - "start": "37:14.88", - "stop": "37:15.00", - "speaker": "Tutor", - "dialogue": "Ok?" - }, - { - "start": "37:15.20", - "stop": "37:17.32", - "speaker": "Student", - "dialogue": "So distance increased by fifty hour," - }, - { - "start": "37:17.60", - "stop": "37:18.20", - "speaker": "Student", - "dialogue": "Fifty miles." - }, - { - "start": "37:19.04", - "stop": "37:19.32", - "speaker": "Tutor", - "dialogue": "Time." - }, - { - "start": "37:19.52", - "stop": "37:20.48", - "speaker": "Student", - "dialogue": "Increased by onem." - }, - { - "start": "37:20.56", - "stop": "37:21.56", - "speaker": "Tutor", - "dialogue": "Increased by an hour." - }, - { - "start": "37:21.76", - "stop": "37:21.80", - "speaker": "Student", - "dialogue": "O," - }, - { - "start": "37:22.20", - "stop": "37:24.20", - "speaker": "Student", - "dialogue": "So instead of labeling it at a point," - }, - { - "start": "37:24.84", - "stop": "37:33.88", - "speaker": "Student", - "dialogue": "Let's label it in between somewhere so you know that fifty miles is that entire yellow section of the road," - }, - { - "start": "37:34.52", - "stop": "37:37.00", - "speaker": "Student", - "dialogue": "And one hour is that yellow section of the road." - }, - { - "start": "37:38.88", - "stop": "37:38.96", - "speaker": "Tutor", - "dialogue": "Sh," - }, - { - "start": "37:39.32", - "stop": "37:40.76", - "speaker": "Tutor", - "dialogue": "Labl one hour." - }, - { - "start": "37:42.36", - "stop": "37:42.40", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "37:43.48", - "stop": "37:44.32", - "speaker": "Student", - "dialogue": "We can do it like this." - }, - { - "start": "37:45.32", - "stop": "37:46.08", - "speaker": "Student", - "dialogue": "I'll do this one." - }, - { - "start": "37:48.04", - "stop": "37:48.08", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "37:48.40", - "stop": "37:49.16", - "speaker": "Student", - "dialogue": "In this section," - }, - { - "start": "37:49.92", - "stop": "37:52.12", - "speaker": "Student", - "dialogue": "The car traveled fifty miles." - }, - { - "start": "37:54.16", - "stop": "37:54.20", - "speaker": "Tutor", - "dialogue": "In." - }, - { - "start": "37:54.60", - "stop": "37:55.36", - "speaker": "Student", - "dialogue": "One hour." - }, - { - "start": "37:58.04", - "stop": "37:58.52", - "speaker": "Tutor", - "dialogue": "Exense." - }, - { - "start": "38:00.12", - "stop": "38:00.16", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "38:00.28", - "stop": "38:00.32", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "38:00.52", - "stop": "38:03.00", - "speaker": "Student", - "dialogue": "Traveled it in the yellow section." - }, - { - "start": "38:04.40", - "stop": "38:04.44", - "speaker": "Tutor", - "dialogue": "Not." - }, - { - "start": "38:04.76", - "stop": "38:05.80", - "speaker": "Student", - "dialogue": "Just at that point." - }, - { - "start": "38:08.32", - "stop": "38:08.48", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "38:08.60", - "stop": "38:09.92", - "speaker": "Student", - "dialogue": "Let's look at." - }, - { - "start": "38:12.28", - "stop": "38:12.32", - "speaker": "Tutor", - "dialogue": "B." - }, - { - "start": "38:12.64", - "stop": "38:12.92", - "speaker": "Student", - "dialogue": "To C." - }, - { - "start": "38:16.32", - "stop": "38:16.56", - "speaker": "Tutor", - "dialogue": "Where?" - }, - { - "start": "38:16.92", - "stop": "38:26.04", - "speaker": "Student", - "dialogue": "Is that purple segment on your mapre?" - }, - { - "start": "38:30.80", - "stop": "38:30.96", - "speaker": "Tutor", - "dialogue": "Just." - }, - { - "start": "38:31.08", - "stop": "38:31.52", - "speaker": "Student", - "dialogue": "That point." - }, - { - "start": "38:32.20", - "stop": "38:32.24", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "38:32.56", - "stop": "38:34.96", - "speaker": "Tutor", - "dialogue": "'cause I mean the miles did increaseed," - }, - { - "start": "38:35.00", - "stop": "38:35.80", - "speaker": "Tutor", - "dialogue": "But the time did," - }, - { - "start": "38:35.92", - "stop": "38:38.60", - "speaker": "Tutor", - "dialogue": "But like the time isn't on the map," - }, - { - "start": "38:38.84", - "stop": "38:42.88", - "speaker": "Tutor", - "dialogue": "The time isn't on the on the on the turnpike ouruly." - }, - { - "start": "38:43.72", - "stop": "38:43.96", - "speaker": "Student", - "dialogue": "Ah," - }, - { - "start": "38:44.32", - "stop": "38:48.76", - "speaker": "Student", - "dialogue": "So we can see distance on the map a lot easier than we can see time on the." - }, - { - "start": "38:48.84", - "stop": "38:49.04", - "speaker": "Tutor", - "dialogue": "Map," - }, - { - "start": "38:49.32", - "stop": "38:49.36", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "38:51.00", - "stop": "38:51.24", - "speaker": "Student", - "dialogue": "Oky," - }, - { - "start": "38:51.36", - "stop": "38:53.52", - "speaker": "Student", - "dialogue": "But we still need to label the section from B to C." - }, - { - "start": "38:54.16", - "stop": "38:59.20", - "speaker": "Student", - "dialogue": "How many hours and how much distance did the car increase from B to C?" - }, - { - "start": "39:00.16", - "stop": "39:02.20", - "speaker": "Tutor", - "dialogue": "Zero miles in an hour perfect." - }, - { - "start": "39:05.88", - "stop": "39:06.12", - "speaker": "Student", - "dialogue": "Zero." - }, - { - "start": "39:06.20", - "stop": "39:06.68", - "speaker": "Tutor", - "dialogue": "Miles." - }, - { - "start": "39:08.80", - "stop": "39:08.84", - "speaker": "Student", - "dialogue": "In." - }, - { - "start": "39:11.56", - "stop": "39:11.80", - "speaker": "Tutor", - "dialogue": "Hour." - }, - { - "start": "39:15.08", - "stop": "39:15.12", - "speaker": "Student", - "dialogue": "B." - }, - { - "start": "39:15.44", - "stop": "39:15.48", - "speaker": "Tutor", - "dialogue": "To." - }, - { - "start": "39:15.64", - "stop": "39:15.68", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "39:16.00", - "stop": "39:16.20", - "speaker": "Tutor", - "dialogue": "Let's." - }, - { - "start": "39:16.24", - "stop": "39:16.72", - "speaker": "Student", - "dialogue": "Make that one." - }, - { - "start": "39:16.76", - "stop": "39:17.96", - "speaker": "Student", - "dialogue": "What color do you want to make that one?" - }, - { - "start": "39:18.04", - "stop": "39:18.40", - "speaker": "Student", - "dialogue": "I'm sorry," - }, - { - "start": "39:18.48", - "stop": "39:18.96", - "speaker": "Student", - "dialogue": "C to D." - }, - { - "start": "39:19.16", - "stop": "39:19.68", - "speaker": "Student", - "dialogue": "What color?" - }, - { - "start": "39:22.04", - "stop": "39:23.00", - "speaker": "Tutor", - "dialogue": "Green green." - }, - { - "start": "39:24.28", - "stop": "39:24.60", - "speaker": "Student", - "dialogue": "All right," - }, - { - "start": "39:24.72", - "stop": "39:26.36", - "speaker": "Student", - "dialogue": "Where do you see the green section?" - }, - { - "start": "39:39.76", - "stop": "39:39.80", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "39:39.84", - "stop": "39:39.88", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "39:39.96", - "stop": "39:40.16", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "39:40.16", - "stop": "39:41.04", - "speaker": "Student", - "dialogue": "If we do it over here." - }, - { - "start": "39:41.60", - "stop": "39:41.64", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "39:51.44", - "stop": "39:52.56", - "speaker": "Student", - "dialogue": "B to e." - }, - { - "start": "39:53.36", - "stop": "39:53.56", - "speaker": "Student", - "dialogue": "Oh," - }, - { - "start": "39:53.68", - "stop": "39:54.88", - "speaker": "Student", - "dialogue": "What color do we have left?" - }, - { - "start": "39:58.36", - "stop": "39:58.40", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "39:58.48", - "stop": "39:59.84", - "speaker": "Student", - "dialogue": "Want red or orange?" - }, - { - "start": "40:01.12", - "stop": "40:01.36", - "speaker": "Tutor", - "dialogue": "Red." - }, - { - "start": "40:03.16", - "stop": "40:03.48", - "speaker": "Student", - "dialogue": "All right," - }, - { - "start": "40:03.60", - "stop": "40:04.84", - "speaker": "Student", - "dialogue": "I circle it on the graph." - }, - { - "start": "40:05.08", - "stop": "40:06.16", - "speaker": "Student", - "dialogue": "You draw it on the map." - }, - { - "start": "40:06.80", - "stop": "40:09.52", - "speaker": "Student", - "dialogue": "Where do you see the section of D to E on the map?" - }, - { - "start": "40:10.88", - "stop": "40:11.24", - "speaker": "Tutor", - "dialogue": "Right here." - }, - { - "start": "40:14.84", - "stop": "40:15.44", - "speaker": "Student", - "dialogue": "Can you draw it in?" - }, - { - "start": "40:15.52", - "stop": "40:15.76", - "speaker": "Student", - "dialogue": "Read." - }, - { - "start": "40:24.92", - "stop": "40:25.44", - "speaker": "Tutor", - "dialogue": "So whatever," - }, - { - "start": "40:25.52", - "stop": "40:27.12", - "speaker": "Tutor", - "dialogue": "A thirty miles in one hour." - }, - { - "start": "40:30.56", - "stop": "40:30.76", - "speaker": "Student", - "dialogue": "Is that?" - }, - { - "start": "40:31.04", - "stop": "40:31.60", - "speaker": "Tutor", - "dialogue": "Alllone." - }, - { - "start": "40:36.52", - "stop": "40:37.48", - "speaker": "Student", - "dialogue": "And then we can label it." - }, - { - "start": "40:37.72", - "stop": "40:39.28", - "speaker": "Student", - "dialogue": "I know that you like these textboxes." - }, - { - "start": "40:43.32", - "stop": "40:44.60", - "speaker": "Tutor", - "dialogue": "Thirty miles in an hour." - }, - { - "start": "40:49.20", - "stop": "40:53.36", - "speaker": "Student", - "dialogue": "Is it exactly thirty miles and is it exactly one hour," - }, - { - "start": "40:53.64", - "stop": "40:54.36", - "speaker": "Student", - "dialogue": "Or is it about?" - }, - { - "start": "41:02.96", - "stop": "41:03.88", - "speaker": "Tutor", - "dialogue": "Thirty-five miles." - }, - { - "start": "41:06.04", - "stop": "41:07.36", - "speaker": "Student", - "dialogue": "You want to change it thirty five." - }, - { - "start": "41:10.68", - "stop": "41:10.72", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "41:10.84", - "stop": "41:11.80", - "speaker": "Student", - "dialogue": "You didn't say it was wrong," - }, - { - "start": "41:11.88", - "stop": "41:13.08", - "speaker": "Student", - "dialogue": "You just said you wanted to change it." - }, - { - "start": "41:13.24", - "stop": "41:13.72", - "speaker": "Student", - "dialogue": "Good job." - }, - { - "start": "41:15.64", - "stop": "41:15.76", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "41:15.92", - "stop": "41:17.52", - "speaker": "Student", - "dialogue": "Right now," - }, - { - "start": "41:17.72", - "stop": "41:20.52", - "speaker": "Student", - "dialogue": "D to E our last color." - }, - { - "start": "41:23.64", - "stop": "41:25.92", - "speaker": "Student", - "dialogue": "Go gray." - }, - { - "start": "41:30.40", - "stop": "41:30.44", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "41:30.96", - "stop": "41:32.04", - "speaker": "Student", - "dialogue": "From E to f," - }, - { - "start": "41:32.92", - "stop": "41:33.96", - "speaker": "Student", - "dialogue": "What do you know about the?" - }, - { - "start": "41:35.68", - "stop": "41:36.08", - "speaker": "Tutor", - "dialogue": "Distance." - }, - { - "start": "41:36.20", - "stop": "41:36.64", - "speaker": "Student", - "dialogue": "And time?" - }, - { - "start": "41:41.64", - "stop": "41:42.60", - "speaker": "Tutor", - "dialogue": "In thirty minutes," - }, - { - "start": "41:43.40", - "stop": "41:44.56", - "speaker": "Tutor", - "dialogue": "In actual thiry minut," - }, - { - "start": "41:44.68", - "stop": "41:45.44", - "speaker": "Tutor", - "dialogue": "In thirty minutes," - }, - { - "start": "41:46.72", - "stop": "41:49.96", - "speaker": "Tutor", - "dialogue": "A chanin A went from ten miles." - }, - { - "start": "41:51.64", - "stop": "41:55.32", - "speaker": "Student", - "dialogue": "So if we talk about both distance and time in one sentence," - }, - { - "start": "41:55.72", - "stop": "41:56.92", - "speaker": "Student", - "dialogue": "How would you say that all?" - }, - { - "start": "41:57.24", - "stop": "41:59.48", - "speaker": "Tutor", - "dialogue": "Miles centy and thirty minutes." - }, - { - "start": "42:00.28", - "stop": "42:03.04", - "speaker": "Student", - "dialogue": "So the car traveled ten miles in." - }, - { - "start": "42:04.12", - "stop": "42:04.64", - "speaker": "Tutor", - "dialogue": "Thirty minutes." - }, - { - "start": "42:04.88", - "stop": "42:05.40", - "speaker": "Student", - "dialogue": "Thirty minutes." - }, - { - "start": "42:11.12", - "stop": "42:12.12", - "speaker": "Tutor", - "dialogue": "I mean that's impressiing," - }, - { - "start": "42:12.16", - "stop": "42:13.24", - "speaker": "Tutor", - "dialogue": "Because like in the city," - }, - { - "start": "42:13.92", - "stop": "42:13.96", - "speaker": "Tutor", - "dialogue": "You," - }, - { - "start": "42:14.24", - "stop": "42:16.64", - "speaker": "Tutor", - "dialogue": "You only drive like four miles in half an hour." - }, - { - "start": "42:17.88", - "stop": "42:18.04", - "speaker": "Student", - "dialogue": "Right," - }, - { - "start": "42:18.48", - "stop": "42:20.16", - "speaker": "Student", - "dialogue": "And how many miles did you say this one was?" - }, - { - "start": "42:21.00", - "stop": "42:21.16", - "speaker": "Tutor", - "dialogue": "Ten." - }, - { - "start": "42:21.84", - "stop": "42:23.48", - "speaker": "Student", - "dialogue": "Ten miles in thirty minutes." - }, - { - "start": "42:23.60", - "stop": "42:23.76", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "42:23.84", - "stop": "42:24.44", - "speaker": "Tutor", - "dialogue": "Like in the city," - }, - { - "start": "42:24.56", - "stop": "42:26.16", - "speaker": "Tutor", - "dialogue": "That'll be like an hour to drive." - }, - { - "start": "42:26.28", - "stop": "42:26.76", - "speaker": "Tutor", - "dialogue": "Ten minutes," - }, - { - "start": "42:26.96", - "stop": "42:27.12", - "speaker": "Tutor", - "dialogue": "Ten," - }, - { - "start": "42:27.28", - "stop": "42:27.92", - "speaker": "Tutor", - "dialogue": "Uh miles," - }, - { - "start": "42:28.24", - "stop": "42:28.28", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "42:28.56", - "stop": "42:29.80", - "speaker": "Student", - "dialogue": "That's impressive in the city," - }, - { - "start": "42:30.16", - "stop": "42:32.00", - "speaker": "Student", - "dialogue": "But out in the country where there's no." - }, - { - "start": "42:32.56", - "stop": "42:34.12", - "speaker": "Tutor", - "dialogue": "Only sh sho on the turnpike," - }, - { - "start": "42:34.12", - "stop": "42:34.84", - "speaker": "Tutor", - "dialogue": "So I mean yeah," - }, - { - "start": "42:36.24", - "stop": "42:36.44", - "speaker": "Tutor", - "dialogue": "But yeah," - }, - { - "start": "42:36.60", - "stop": "42:38.80", - "speaker": "Tutor", - "dialogue": "It depends on the time to could be at night." - }, - { - "start": "42:39.16", - "stop": "42:41.12", - "speaker": "Student", - "dialogue": "So if it's a good speed or a bad speed," - }, - { - "start": "42:41.16", - "stop": "42:42.72", - "speaker": "Student", - "dialogue": "It's kind of relative to the situation." - }, - { - "start": "42:43.08", - "stop": "42:43.28", - "speaker": "Tutor", - "dialogue": "Huh?" - }, - { - "start": "42:43.84", - "stop": "42:44.16", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "42:44.48", - "stop": "42:44.64", - "speaker": "Student", - "dialogue": "Now," - }, - { - "start": "42:44.68", - "stop": "42:46.20", - "speaker": "Student", - "dialogue": "We're going to move to this one." - }, - { - "start": "42:47.72", - "stop": "42:48.12", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "42:49.04", - "stop": "42:51.72", - "speaker": "Student", - "dialogue": "What is this graph going to keep track of?" - }, - { - "start": "42:55.72", - "stop": "42:56.32", - "speaker": "Tutor", - "dialogue": "The miuse," - }, - { - "start": "42:56.88", - "stop": "42:58.84", - "speaker": "Tutor", - "dialogue": "The speed of the car," - }, - { - "start": "42:59.12", - "stop": "43:03.08", - "speaker": "Tutor", - "dialogue": "And how much time wit," - }, - { - "start": "43:05.28", - "stop": "43:10.00", - "speaker": "Tutor", - "dialogue": "What was the speed of the car in each time in each like hour," - }, - { - "start": "43:10.24", - "stop": "43:11.88", - "speaker": "Tutor", - "dialogue": "Rela likeed the pension what it is." - }, - { - "start": "43:12.56", - "stop": "43:12.60", - "speaker": "Student", - "dialogue": "Y," - }, - { - "start": "43:12.88", - "stop": "43:18.80", - "speaker": "Student", - "dialogue": "So is this car travelling the same speed from the time it leaves Providence till it reaches Newark?" - }, - { - "start": "43:19.84", - "stop": "43:19.96", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "43:20.64", - "stop": "43:22.40", - "speaker": "Student", - "dialogue": "So the speed is going to be changing." - }, - { - "start": "43:23.20", - "stop": "43:23.24", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "43:23.84", - "stop": "43:26.96", - "speaker": "Student", - "dialogue": "And it might be going zero miles an hour for a little bit," - }, - { - "start": "43:27.20", - "stop": "43:29.76", - "speaker": "Student", - "dialogue": "And it might be going faster for a little bit," - }, - { - "start": "43:30.36", - "stop": "43:31.80", - "speaker": "Student", - "dialogue": "And then it might be going slower," - }, - { - "start": "43:32.00", - "stop": "43:33.40", - "speaker": "Student", - "dialogue": "So now you're going to think about." - }, - { - "start": "43:33.88", - "stop": "43:34.08", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "43:34.80", - "stop": "43:38.72", - "speaker": "Student", - "dialogue": "Long was the car traveling for each speed." - }, - { - "start": "43:43.64", - "stop": "43:43.68", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "43:43.84", - "stop": "43:44.56", - "speaker": "Student", - "dialogue": "When you're ready." - }, - { - "start": "43:46.40", - "stop": "43:46.76", - "speaker": "Tutor", - "dialogue": "Sketch." - }, - { - "start": "43:46.96", - "stop": "43:49.00", - "speaker": "Student", - "dialogue": "What you think that graph might look like?" - }, - { - "start": "43:53.96", - "stop": "43:54.12", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "43:55.08", - "stop": "43:55.84", - "speaker": "Tutor", - "dialogue": "How do I skeule?" - }, - { - "start": "43:56.04", - "stop": "43:56.40", - "speaker": "Tutor", - "dialogue": "Like a?" - }, - { - "start": "43:57.96", - "stop": "43:58.12", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "43:58.40", - "stop": "43:58.64", - "speaker": "Tutor", - "dialogue": "There's." - }, - { - "start": "43:58.68", - "stop": "44:01.00", - "speaker": "Student", - "dialogue": "Like a pencil tool that you can use to draw." - }, - { - "start": "44:14.20", - "stop": "44:14.60", - "speaker": "Tutor", - "dialogue": "Weno," - }, - { - "start": "44:18.00", - "stop": "44:21.36", - "speaker": "Tutor", - "dialogue": "Near rate race," - }, - { - "start": "44:21.92", - "stop": "44:22.48", - "speaker": "Student", - "dialogue": "Click it for you," - }, - { - "start": "44:22.72", - "stop": "44:24.84", - "speaker": "Student", - "dialogue": "So you just click that one and then ay race," - }, - { - "start": "44:24.92", - "stop": "44:25.24", - "speaker": "Student", - "dialogue": "There you go." - }, - { - "start": "44:26.84", - "stop": "44:26.96", - "speaker": "Tutor", - "dialogue": "How?" - }, - { - "start": "44:27.00", - "stop": "44:27.20", - "speaker": "Student", - "dialogue": "Come," - }, - { - "start": "44:27.24", - "stop": "44:28.00", - "speaker": "Student", - "dialogue": "You want to erase?" - }, - { - "start": "44:29.44", - "stop": "44:29.64", - "speaker": "Tutor", - "dialogue": "Hm." - }, - { - "start": "44:29.92", - "stop": "44:30.52", - "speaker": "Student", - "dialogue": "How come you want to?" - }, - { - "start": "44:30.76", - "stop": "44:31.92", - "speaker": "Student", - "dialogue": "How come you wanted to erase it?" - }, - { - "start": "44:33.64", - "stop": "44:35.68", - "speaker": "Tutor", - "dialogue": "Because when it says one hour," - }, - { - "start": "44:35.84", - "stop": "44:37.80", - "speaker": "Tutor", - "dialogue": "Like where a rhin bove New York City," - }, - { - "start": "44:37.84", - "stop": "44:39.88", - "speaker": "Tutor", - "dialogue": "I thought I meant like fifty miles," - }, - { - "start": "44:39.92", - "stop": "44:40.96", - "speaker": "Tutor", - "dialogue": "Because I go a coup yard." - }, - { - "start": "44:41.08", - "stop": "44:59.48", - "speaker": "Tutor", - "dialogue": "So there were the fifty in zero like that." - }, - { - "start": "45:00.16", - "stop": "45:00.44", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "45:01.24", - "stop": "45:01.52", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "45:05.92", - "stop": "45:05.96", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "45:06.24", - "stop": "45:06.56", - "speaker": "Student", - "dialogue": "Point B," - }, - { - "start": "45:06.76", - "stop": "45:06.80", - "speaker": "Student", - "dialogue": "B." - }, - { - "start": "45:09.12", - "stop": "45:11.16", - "speaker": "Tutor", - "dialogue": "B right here." - }, - { - "start": "45:14.32", - "stop": "45:16.04", - "speaker": "Student", - "dialogue": "And how did you come up with?" - }, - { - "start": "45:16.60", - "stop": "45:18.08", - "speaker": "Student", - "dialogue": "This is where B would be in your mind." - }, - { - "start": "45:19.64", - "stop": "45:21.40", - "speaker": "Tutor", - "dialogue": "'cause it's fifty so like." - }, - { - "start": "45:24.84", - "stop": "45:25.88", - "speaker": "Tutor", - "dialogue": "It's like in the middle." - }, - { - "start": "45:26.28", - "stop": "45:26.48", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "45:26.56", - "stop": "45:27.36", - "speaker": "Tutor", - "dialogue": "Not completely," - }, - { - "start": "45:29.20", - "stop": "45:29.72", - "speaker": "Tutor", - "dialogue": "But like yeah." - }, - { - "start": "45:31.40", - "stop": "45:31.64", - "speaker": "Student", - "dialogue": "What'?" - }, - { - "start": "45:33.56", - "stop": "45:35.16", - "speaker": "Tutor", - "dialogue": "Fiftys supposed to be in the middle," - }, - { - "start": "45:35.20", - "stop": "45:41.36", - "speaker": "Tutor", - "dialogue": "But in this situation it's not because it's a hundred fifty the middle." - }, - { - "start": "45:41.40", - "stop": "45:41.56", - "speaker": "Student", - "dialogue": "Of what," - }, - { - "start": "45:41.84", - "stop": "45:42.96", - "speaker": "Student", - "dialogue": "I don't see any numbers," - }, - { - "start": "45:43.00", - "stop": "45:43.36", - "speaker": "Student", - "dialogue": "Anymre." - }, - { - "start": "45:45.64", - "stop": "45:46.04", - "speaker": "Tutor", - "dialogue": "Wea know." - }, - { - "start": "45:47.56", - "stop": "45:47.72", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "45:47.80", - "stop": "45:47.84", - "speaker": "Tutor", - "dialogue": "W." - }, - { - "start": "45:48.16", - "stop": "45:50.76", - "speaker": "Tutor", - "dialogue": "I think I should have put it like more down." - }, - { - "start": "45:51.28", - "stop": "45:53.12", - "speaker": "Tutor", - "dialogue": "I should have put it like mo more down." - }, - { - "start": "45:54.20", - "stop": "45:54.32", - "speaker": "Student", - "dialogue": "Use." - }, - { - "start": "45:54.40", - "stop": "45:54.44", - "speaker": "Tutor", - "dialogue": "It," - }, - { - "start": "45:54.72", - "stop": "45:55.00", - "speaker": "Tutor", - "dialogue": "There's a," - }, - { - "start": "45:56.40", - "stop": "45:57.80", - "speaker": "Tutor", - "dialogue": "There's a hundred and fifty miles." - }, - { - "start": "46:02.08", - "stop": "46:02.12", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "46:02.32", - "stop": "46:02.52", - "speaker": "Tutor", - "dialogue": "Where?" - }, - { - "start": "46:02.56", - "stop": "46:05.36", - "speaker": "Student", - "dialogue": "Are you keeping track of the hundred and fifty miles in the scraf?" - }, - { - "start": "46:07.08", - "stop": "46:07.28", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "46:07.36", - "stop": "46:10.08", - "speaker": "Tutor", - "dialogue": "The hundred and fifty miles should be like on the top." - }, - { - "start": "46:10.40", - "stop": "46:11.84", - "speaker": "Tutor", - "dialogue": "Something like that in the top," - }, - { - "start": "46:11.92", - "stop": "46:12.52", - "speaker": "Tutor", - "dialogue": "The breer." - }, - { - "start": "46:13.72", - "stop": "46:14.00", - "speaker": "Student", - "dialogue": "Okay," - }, - { - "start": "46:14.16", - "stop": "46:15.40", - "speaker": "Student", - "dialogue": "So you'd want to put it on the top," - }, - { - "start": "46:16.32", - "stop": "46:16.48", - "speaker": "Student", - "dialogue": "You know?" - }, - { - "start": "46:16.60", - "stop": "46:20.32", - "speaker": "Tutor", - "dialogue": "I think it's good because like the one hundred would be like around here," - }, - { - "start": "46:20.56", - "stop": "46:20.88", - "speaker": "Tutor", - "dialogue": "Fifty," - }, - { - "start": "46:23.60", - "stop": "46:24.28", - "speaker": "Tutor", - "dialogue": "Like fifty," - }, - { - "start": "46:24.40", - "stop": "46:24.88", - "speaker": "Tutor", - "dialogue": "A hundred," - }, - { - "start": "46:25.68", - "stop": "46:26.36", - "speaker": "Tutor", - "dialogue": "Fifty zero," - }, - { - "start": "46:28.20", - "stop": "46:28.48", - "speaker": "Tutor", - "dialogue": "Ithink." - }, - { - "start": "46:29.00", - "stop": "46:30.32", - "speaker": "Student", - "dialogue": "Right when you're saying fifty," - }, - { - "start": "46:30.44", - "stop": "46:31.60", - "speaker": "Student", - "dialogue": "A hundred hundred and fifty," - }, - { - "start": "46:32.04", - "stop": "46:33.64", - "speaker": "Student", - "dialogue": "Is that fifty miles an hour?" - }, - { - "start": "46:34.08", - "stop": "46:35.28", - "speaker": "Student", - "dialogue": "Is that fifty miles," - }, - { - "start": "46:35.72", - "stop": "46:37.00", - "speaker": "Student", - "dialogue": "Or is that fifty hours?" - }, - { - "start": "46:38.96", - "stop": "46:39.76", - "speaker": "Tutor", - "dialogue": "Fifty miles." - }, - { - "start": "46:40.80", - "stop": "46:43.68", - "speaker": "Student", - "dialogue": "So you want to label here fifty hundred hundred and fifty?" - }, - { - "start": "46:44.28", - "stop": "46:44.32", - "speaker": "Tutor", - "dialogue": "To." - }, - { - "start": "46:44.44", - "stop": "46:45.40", - "speaker": "Student", - "dialogue": "Keep track of the miles." - }, - { - "start": "46:46.72", - "stop": "46:46.88", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "46:46.96", - "stop": "46:47.80", - "speaker": "Tutor", - "dialogue": "That was the time," - }, - { - "start": "46:49.96", - "stop": "46:50.20", - "speaker": "Tutor", - "dialogue": "Mm." - }, - { - "start": "46:50.72", - "stop": "46:51.32", - "speaker": "Student", - "dialogue": "What's the big?" - }, - { - "start": "46:51.48", - "stop": "46:51.68", - "speaker": "Student", - "dialogue": "Oh," - }, - { - "start": "46:51.88", - "stop": "46:52.48", - "speaker": "Student", - "dialogue": "That was cool." - }, - { - "start": "46:54.00", - "stop": "46:54.60", - "speaker": "Tutor", - "dialogue": "Because I w." - }, - { - "start": "46:54.88", - "stop": "46:54.92", - "speaker": "Tutor", - "dialogue": "I," - }, - { - "start": "46:55.12", - "stop": "46:56.08", - "speaker": "Tutor", - "dialogue": "I don't know why be'cause," - }, - { - "start": "46:56.12", - "stop": "46:57.76", - "speaker": "Tutor", - "dialogue": "I thought the miles was right here," - }, - { - "start": "46:57.80", - "stop": "46:58.88", - "speaker": "Tutor", - "dialogue": "Because it was the miles O." - }, - { - "start": "46:59.12", - "stop": "46:59.84", - "speaker": "Tutor", - "dialogue": "It was over here," - }, - { - "start": "47:00.00", - "stop": "47:00.76", - "speaker": "Tutor", - "dialogue": "But it's time." - }, - { - "start": "47:01.20", - "stop": "47:01.44", - "speaker": "Student", - "dialogue": "Ah," - }, - { - "start": "47:01.92", - "stop": "47:04.92", - "speaker": "Student", - "dialogue": "These axies are keeping track of something different," - }, - { - "start": "47:05.12", - "stop": "47:05.32", - "speaker": "Student", - "dialogue": "Huh?" - }, - { - "start": "47:05.96", - "stop": "47:06.00", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "47:06.56", - "stop": "47:06.64", - "speaker": "Tutor", - "dialogue": "All." - }, - { - "start": "47:06.76", - "stop": "47:06.88", - "speaker": "Student", - "dialogue": "Right," - }, - { - "start": "47:07.16", - "stop": "47:08.64", - "speaker": "Student", - "dialogue": "We are almost out of time," - }, - { - "start": "47:08.96", - "stop": "47:11.40", - "speaker": "Student", - "dialogue": "But I would love for you to take another." - }, - { - "start": "47:12.16", - "stop": "47:12.28", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "47:12.80", - "stop": "47:15.68", - "speaker": "Student", - "dialogue": "Best guess at what you think your sketch would look like," - }, - { - "start": "47:16.28", - "stop": "47:18.92", - "speaker": "Student", - "dialogue": "Knowing that this Axies is keeping track of time," - }, - { - "start": "47:19.36", - "stop": "47:20.68", - "speaker": "Student", - "dialogue": "Not distance this time," - }, - { - "start": "47:22.00", - "stop": "47:23.96", - "speaker": "Student", - "dialogue": "And that this is keeping track of speed." - }, - { - "start": "47:25.56", - "stop": "47:25.60", - "speaker": "Tutor", - "dialogue": "So?" - }, - { - "start": "47:25.80", - "stop": "47:27.64", - "speaker": "Student", - "dialogue": "What's happening with the speed of this car?" - }, - { - "start": "47:30.28", - "stop": "47:31.16", - "speaker": "Tutor", - "dialogue": "It's going up," - }, - { - "start": "47:31.28", - "stop": "47:32.08", - "speaker": "Tutor", - "dialogue": "It's going down." - }, - { - "start": "47:34.24", - "stop": "47:34.28", - "speaker": "Student", - "dialogue": "So," - }, - { - "start": "47:34.56", - "stop": "47:35.00", - "speaker": "Student", - "dialogue": "In words," - }, - { - "start": "47:35.08", - "stop": "47:38.88", - "speaker": "Student", - "dialogue": "How would you describe the speed of what happens from A to B and then B to C?" - }, - { - "start": "47:40.12", - "stop": "47:40.96", - "speaker": "Tutor", - "dialogue": "To B goes up," - }, - { - "start": "47:41.16", - "stop": "47:42.60", - "speaker": "Tutor", - "dialogue": "B to C stays the same," - }, - { - "start": "47:42.68", - "stop": "47:43.88", - "speaker": "Tutor", - "dialogue": "C to D stays up," - }, - { - "start": "47:44.84", - "stop": "47:44.88", - "speaker": "Tutor", - "dialogue": "D." - }, - { - "start": "47:45.52", - "stop": "47:45.56", - "speaker": "Tutor", - "dialogue": "B," - }, - { - "start": "47:45.84", - "stop": "47:47.36", - "speaker": "Tutor", - "dialogue": "E is like up and down," - }, - { - "start": "47:48.24", - "stop": "47:49.84", - "speaker": "Tutor", - "dialogue": "But not that up and down." - }, - { - "start": "47:49.96", - "stop": "47:50.72", - "speaker": "Tutor", - "dialogue": "Like is still it?" - }, - { - "start": "47:51.04", - "stop": "47:52.24", - "speaker": "Tutor", - "dialogue": "It kind of stills the same," - }, - { - "start": "47:52.28", - "stop": "47:55.00", - "speaker": "Tutor", - "dialogue": "But it changes a little and then e fs." - }, - { - "start": "47:55.84", - "stop": "47:59.80", - "speaker": "Student", - "dialogue": "Up and from A to B is the speed increasing?" - }, - { - "start": "48:00.72", - "stop": "48:00.92", - "speaker": "Student", - "dialogue": "Or Yeah," - }, - { - "start": "48:01.20", - "stop": "48:04.28", - "speaker": "Student", - "dialogue": "Speed staying the same the whole time from A to B." - }, - { - "start": "48:05.52", - "stop": "48:06.32", - "speaker": "Tutor", - "dialogue": "The speeds to S," - }, - { - "start": "48:06.64", - "stop": "48:07.88", - "speaker": "Tutor", - "dialogue": "Though increasing." - }, - { - "start": "48:10.16", - "stop": "48:11.56", - "speaker": "Student", - "dialogue": "Increasing from what to what?" - }, - { - "start": "48:13.00", - "stop": "48:13.48", - "speaker": "Tutor", - "dialogue": "A to B." - }, - { - "start": "48:14.96", - "stop": "48:15.12", - "speaker": "Student", - "dialogue": "Ok," - }, - { - "start": "48:15.64", - "stop": "48:18.48", - "speaker": "Student", - "dialogue": "So the speed you think is increasing from A to B earlier," - }, - { - "start": "48:18.56", - "stop": "48:20.24", - "speaker": "Student", - "dialogue": "You talk to me about constant rate." - }, - { - "start": "48:21.08", - "stop": "48:21.12", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "48:21.84", - "stop": "48:23.20", - "speaker": "Student", - "dialogue": "What does that mean from A to B?" - }, - { - "start": "48:25.96", - "stop": "48:27.68", - "speaker": "Tutor", - "dialogue": "The straight line s something." - }, - { - "start": "48:28.36", - "stop": "48:28.40", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "48:28.60", - "stop": "48:29.56", - "speaker": "Student", - "dialogue": "So if it's a straight line," - }, - { - "start": "48:29.60", - "stop": "48:31.00", - "speaker": "Student", - "dialogue": "You said it was a constant rate." - }, - { - "start": "48:31.96", - "stop": "48:32.00", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "48:32.72", - "stop": "48:33.96", - "speaker": "Student", - "dialogue": "And in this situation," - }, - { - "start": "48:34.08", - "stop": "48:35.16", - "speaker": "Student", - "dialogue": "If it's a constant rate," - }, - { - "start": "48:35.64", - "stop": "48:38.60", - "speaker": "Student", - "dialogue": "It means the car is stopping and starting," - }, - { - "start": "48:38.72", - "stop": "48:40.12", - "speaker": "Student", - "dialogue": "Or it's going at the same speed." - }, - { - "start": "48:41.28", - "stop": "48:42.08", - "speaker": "Tutor", - "dialogue": "At the same speed." - }, - { - "start": "48:42.40", - "stop": "48:46.32", - "speaker": "Student", - "dialogue": "So if it's going at the same speed from A to B," - }, - { - "start": "48:47.64", - "stop": "48:49.80", - "speaker": "Student", - "dialogue": "You said it was going fifty miles an hour." - }, - { - "start": "48:51.40", - "stop": "48:51.44", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "48:51.60", - "stop": "48:53.04", - "speaker": "Student", - "dialogue": "The speed increasing," - }, - { - "start": "48:53.48", - "stop": "48:54.04", - "speaker": "Student", - "dialogue": "Decreasing," - }, - { - "start": "48:54.20", - "stop": "48:55.64", - "speaker": "Student", - "dialogue": "Or staying the same from A to B." - }, - { - "start": "48:57.36", - "stop": "48:57.88", - "speaker": "Tutor", - "dialogue": "Increasing." - }, - { - "start": "49:04.32", - "stop": "49:04.36", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "49:04.44", - "stop": "49:06.92", - "speaker": "Student", - "dialogue": "There anything that you think would be helpful for us to know," - }, - { - "start": "49:07.32", - "stop": "49:12.12", - "speaker": "Student", - "dialogue": "As we work to do this math with students and work on this platform." - }, - { - "start": "49:15.80", - "stop": "49:15.96", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "49:19.00", - "stop": "49:20.12", - "speaker": "Tutor", - "dialogue": "Maybe just in race," - }, - { - "start": "49:20.16", - "stop": "49:20.20", - "speaker": "Tutor", - "dialogue": "He." - }, - { - "start": "49:22.52", - "stop": "49:24.04", - "speaker": "Student", - "dialogue": "That it's more challenging to erase." - }, - { - "start": "49:24.92", - "stop": "49:24.96", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "49:25.44", - "stop": "49:25.76", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "49:26.08", - "stop": "49:26.36", - "speaker": "Student", - "dialogue": "Cool," - }, - { - "start": "49:26.84", - "stop": "49:28.68", - "speaker": "Student", - "dialogue": "What was helpful for you today?" - }, - { - "start": "49:31.72", - "stop": "49:31.92", - "speaker": "Tutor", - "dialogue": "Ah," - }, - { - "start": "49:32.04", - "stop": "49:37.44", - "speaker": "Tutor", - "dialogue": "Knowing the difference between constant rate and and what was the other word?" - }, - { - "start": "49:38.92", - "stop": "49:39.04", - "speaker": "Student", - "dialogue": "Um," - }, - { - "start": "49:40.36", - "stop": "49:41.20", - "speaker": "Student", - "dialogue": "It wch slowe." - }, - { - "start": "49:41.32", - "stop": "49:41.52", - "speaker": "Tutor", - "dialogue": "Ah," - }, - { - "start": "49:41.72", - "stop": "49:42.08", - "speaker": "Tutor", - "dialogue": "Slowe." - }, - { - "start": "49:42.88", - "stop": "49:45.28", - "speaker": "Student", - "dialogue": "What is the difference between constant rate and slope?" - }, - { - "start": "49:47.76", - "stop": "49:48.12", - "speaker": "Tutor", - "dialogue": "Slope." - }, - { - "start": "49:49.80", - "stop": "49:50.32", - "speaker": "Student", - "dialogue": "What'd you say?" - }, - { - "start": "49:50.36", - "stop": "49:50.76", - "speaker": "Student", - "dialogue": "I'm sorry?" - }, - { - "start": "49:51.64", - "stop": "49:52.16", - "speaker": "Tutor", - "dialogue": "Consin," - }, - { - "start": "49:52.40", - "stop": "49:52.76", - "speaker": "Tutor", - "dialogue": "Slope," - }, - { - "start": "49:53.36", - "stop": "49:59.88", - "speaker": "Tutor", - "dialogue": "Um isn't that consy?" - }, - { - "start": "50:00.00", - "stop": "50:00.64", - "speaker": "Tutor", - "dialogue": "Like what you?" - }, - { - "start": "50:01.52", - "stop": "50:03.04", - "speaker": "Tutor", - "dialogue": "How much you slow?" - }, - { - "start": "50:03.20", - "stop": "50:04.24", - "speaker": "Tutor", - "dialogue": "Is it a straight line?" - }, - { - "start": "50:04.84", - "stop": "50:09.32", - "speaker": "Tutor", - "dialogue": "And consantate is like how much you've measured in a time." - }, - { - "start": "50:10.24", - "stop": "50:10.28", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "50:10.60", - "stop": "50:12.68", - "speaker": "Student", - "dialogue": "Slope and constant re rate are related." - }, - { - "start": "50:14.36", - "stop": "50:14.76", - "speaker": "Student", - "dialogue": "Definitely," - }, - { - "start": "50:14.84", - "stop": "50:17.00", - "speaker": "Student", - "dialogue": "And you' you're starting to think about it and trying to make sense of that." - }, - { - "start": "50:17.08", - "stop": "50:17.72", - "speaker": "Student", - "dialogue": "That's really awesome." - }, - { - "start": "50:17.76", - "stop": "50:17.80", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "50:18.00", - "stop": "50:20.20", - "speaker": "Student", - "dialogue": "Slope is um." - }, - { - "start": "50:21.00", - "stop": "50:21.20", - "speaker": "Student", - "dialogue": "Oh," - }, - { - "start": "50:21.44", - "stop": "50:23.48", - "speaker": "Student", - "dialogue": "Aromostt of times I'm not going to get into this right now," - }, - { - "start": "50:23.52", - "stop": "50:24.04", - "speaker": "Student", - "dialogue": "But yes," - }, - { - "start": "50:24.20", - "stop": "50:26.20", - "speaker": "Student", - "dialogue": "You're starting to think about constant rate and slope." - }, - { - "start": "50:27.36", - "stop": "50:27.40", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "50:28.04", - "stop": "50:31.08", - "speaker": "Student", - "dialogue": "And the relationship to them and the relationship to the variables?" - }, - { - "start": "50:32.00", - "stop": "50:32.04", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "50:32.84", - "stop": "50:33.16", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "50:33.64", - "stop": "50:36.04", - "speaker": "Student", - "dialogue": "What would have been helpful for me to do differently for you?" - }, - { - "start": "50:39.60", - "stop": "50:39.72", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "50:40.08", - "stop": "50:40.28", - "speaker": "Tutor", - "dialogue": "Thank you," - }, - { - "start": "50:40.40", - "stop": "50:40.80", - "speaker": "Tutor", - "dialogue": "Dagod." - }, - { - "start": "50:40.96", - "stop": "50:41.40", - "speaker": "Tutor", - "dialogue": "I didn't like." - }, - { - "start": "50:42.24", - "stop": "50:44.32", - "speaker": "Tutor", - "dialogue": "I understanded everything you was trying to teach me." - }, - { - "start": "50:50.84", - "stop": "50:55.52", - "speaker": "Tutor", - "dialogue": "How to measure a a distance from one place to another?" - }, - { - "start": "50:56.56", - "stop": "50:57.04", - "speaker": "Student", - "dialogue": "Very cool." - }, - { - "start": "50:57.16", - "stop": "50:57.20", - "speaker": "Student", - "dialogue": "Yeah," - }, - { - "start": "50:57.36", - "stop": "50:59.32", - "speaker": "Student", - "dialogue": "There's lots of different things that we were thinking about." - }, - { - "start": "50:59.84", - "stop": "51:00.00", - "speaker": "Student", - "dialogue": "Ah," - }, - { - "start": "51:00.44", - "stop": "51:01.80", - "speaker": "Student", - "dialogue": "Thank you so much for helping us." - }, - { - "start": "51:03.48", - "stop": "51:03.52", - "speaker": "Tutor", - "dialogue": "Have?" - }, - { - "start": "51:03.76", - "stop": "51:04.56", - "speaker": "Student", - "dialogue": "A good afternoon," - }, - { - "start": "51:05.76", - "stop": "51:06.08", - "speaker": "Student", - "dialogue": "I guess." - } -] \ No newline at end of file diff --git a/data/amber/KL.json b/data/amber/KL.json deleted file mode 100644 index d929e1e..0000000 --- a/data/amber/KL.json +++ /dev/null @@ -1,6176 +0,0 @@ -[ - { - "start": "00:01.60", - "stop": "00:01.88", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "00:02.72", - "stop": "00:03.92", - "speaker": "Tutor", - "dialogue": "We are recording." - }, - { - "start": "00:04.72", - "stop": "00:05.20", - "speaker": "Tutor", - "dialogue": "I'm Goninga." - }, - { - "start": "00:05.24", - "stop": "00:07.76", - "speaker": "Tutor", - "dialogue": "Go ahead and click it to the map." - }, - { - "start": "00:08.72", - "stop": "00:10.08", - "speaker": "Tutor", - "dialogue": "Can you see the map on your screen?" - }, - { - "start": "00:11.20", - "stop": "00:11.64", - "speaker": "Tutor", - "dialogue": "Awesome," - }, - { - "start": "00:12.40", - "stop": "00:12.68", - "speaker": "Tutor", - "dialogue": "Oky," - }, - { - "start": "00:13.20", - "stop": "00:13.24", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "00:14.96", - "stop": "00:15.16", - "speaker": "Student", - "dialogue": "Take." - }, - { - "start": "00:15.24", - "stop": "00:17.96", - "speaker": "Tutor", - "dialogue": "A second to read the map and to look at it." - }, - { - "start": "00:21.08", - "stop": "00:21.12", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "00:21.40", - "stop": "00:21.96", - "speaker": "Tutor", - "dialogue": "Think about." - }, - { - "start": "00:25.04", - "stop": "00:26.32", - "speaker": "Tutor", - "dialogue": "Going on in this situation." - }, - { - "start": "00:32.48", - "stop": "00:38.96", - "speaker": "Tutor", - "dialogue": "Showing the path from Providence to New York." - }, - { - "start": "00:41.32", - "stop": "00:41.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "00:41.72", - "stop": "00:43.04", - "speaker": "Tutor", - "dialogue": "My sister in New York City," - }, - { - "start": "00:43.80", - "stop": "00:44.16", - "speaker": "Tutor", - "dialogue": "Allright," - }, - { - "start": "00:44.36", - "stop": "00:46.00", - "speaker": "Tutor", - "dialogue": "And what's going on on that path?" - }, - { - "start": "00:49.28", - "stop": "00:49.44", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "00:52.08", - "stop": "00:52.12", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "00:53.24", - "stop": "00:55.64", - "speaker": "Tutor", - "dialogue": "Thing next to it that says it's the I ninety five." - }, - { - "start": "00:58.00", - "stop": "00:58.04", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "00:58.24", - "stop": "00:59.40", - "speaker": "Tutor", - "dialogue": "It's not a straight line." - }, - { - "start": "00:59.52", - "stop": "01:00.64", - "speaker": "Tutor", - "dialogue": "It's all twisted." - }, - { - "start": "01:01.28", - "stop": "01:01.60", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "01:02.44", - "stop": "01:03.92", - "speaker": "Tutor", - "dialogue": "Do you know what I ninety five is?" - }, - { - "start": "01:04.96", - "stop": "01:05.76", - "speaker": "Tutor", - "dialogue": "It's a highway." - }, - { - "start": "01:06.04", - "stop": "01:06.08", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "01:06.56", - "stop": "01:06.88", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "01:07.44", - "stop": "01:15.80", - "speaker": "Tutor", - "dialogue": "So can you show me with your pointer the the path that the car takes on this journey?" - }, - { - "start": "01:17.44", - "stop": "01:17.48", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "01:17.64", - "stop": "01:20.12", - "speaker": "Tutor", - "dialogue": "Goes from here all the way." - }, - { - "start": "01:23.80", - "stop": "01:28.04", - "speaker": "Tutor", - "dialogue": "What are some things that we might be able to measure in this situation?" - }, - { - "start": "01:31.52", - "stop": "01:31.64", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "01:32.00", - "stop": "01:34.68", - "speaker": "Tutor", - "dialogue": "The length say more," - }, - { - "start": "01:34.92", - "stop": "01:35.56", - "speaker": "Tutor", - "dialogue": "The length of what?" - }, - { - "start": "01:36.76", - "stop": "01:38.32", - "speaker": "Tutor", - "dialogue": "The length of the highway," - }, - { - "start": "01:38.92", - "stop": "01:39.24", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "01:41.88", - "stop": "01:41.92", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "01:42.24", - "stop": "01:46.32", - "speaker": "Tutor", - "dialogue": "The length from like certain points on the highway." - }, - { - "start": "01:46.72", - "stop": "01:47.00", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "01:47.16", - "stop": "01:51.76", - "speaker": "Tutor", - "dialogue": "So like certain destinations or parts along the journey," - }, - { - "start": "01:52.00", - "stop": "01:52.32", - "speaker": "Tutor", - "dialogue": "Towns," - }, - { - "start": "01:52.40", - "stop": "01:52.76", - "speaker": "Tutor", - "dialogue": "Or whatn?" - }, - { - "start": "01:53.44", - "stop": "01:53.48", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "01:53.92", - "stop": "01:54.28", - "speaker": "Tutor", - "dialogue": "All right," - }, - { - "start": "01:54.64", - "stop": "01:55.92", - "speaker": "Tutor", - "dialogue": "So we could measure the length." - }, - { - "start": "01:56.48", - "stop": "02:00.68", - "speaker": "Tutor", - "dialogue": "We could measure the length between different parts of the map." - }, - { - "start": "02:01.32", - "stop": "02:02.12", - "speaker": "Tutor", - "dialogue": "Are there anything El?" - }, - { - "start": "02:02.28", - "stop": "02:03.56", - "speaker": "Tutor", - "dialogue": "Is there anything else we can measure?" - }, - { - "start": "02:08.52", - "stop": "02:08.68", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "02:09.00", - "stop": "02:11.00", - "speaker": "Tutor", - "dialogue": "I don't think so Okay," - }, - { - "start": "02:11.48", - "stop": "02:15.16", - "speaker": "Tutor", - "dialogue": "So there's a car traveling on this map and we might be able to measure the." - }, - { - "start": "02:15.40", - "stop": "02:15.68", - "speaker": "Student", - "dialogue": "Length." - }, - { - "start": "02:16.92", - "stop": "02:18.68", - "speaker": "Tutor", - "dialogue": "Is that summarizing what you're thinking right now?" - }, - { - "start": "02:19.24", - "stop": "02:19.28", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "02:21.04", - "stop": "02:21.16", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "02:21.28", - "stop": "02:21.76", - "speaker": "Tutor", - "dialogue": "Right now." - }, - { - "start": "02:23.76", - "stop": "02:23.80", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "02:24.04", - "stop": "02:24.88", - "speaker": "Tutor", - "dialogue": "Am going to." - }, - { - "start": "02:26.28", - "stop": "02:26.68", - "speaker": "Student", - "dialogue": "Move this." - }, - { - "start": "02:28.72", - "stop": "02:29.92", - "speaker": "Tutor", - "dialogue": "Can you see a graph now?" - }, - { - "start": "02:32.24", - "stop": "02:32.36", - "speaker": "Student", - "dialogue": "All." - }, - { - "start": "02:32.48", - "stop": "02:32.60", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "02:34.68", - "stop": "02:34.84", - "speaker": "Student", - "dialogue": "Look." - }, - { - "start": "02:34.92", - "stop": "02:36.44", - "speaker": "Tutor", - "dialogue": "At the map and the graph," - }, - { - "start": "02:36.60", - "stop": "02:39.36", - "speaker": "Tutor", - "dialogue": "Now what is something that you notice?" - }, - { - "start": "02:45.68", - "stop": "02:45.80", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "02:49.04", - "stop": "02:49.08", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "02:49.24", - "stop": "02:49.52", - "speaker": "Student", - "dialogue": "Graph." - }, - { - "start": "02:49.64", - "stop": "02:54.32", - "speaker": "Tutor", - "dialogue": "Might be corresponding to the time it takes to travel from Providence to New Ark." - }, - { - "start": "02:56.40", - "stop": "02:56.56", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "02:56.68", - "stop": "02:59.68", - "speaker": "Tutor", - "dialogue": "So what do you mean corresponding Um," - }, - { - "start": "03:00.28", - "stop": "03:03.60", - "speaker": "Tutor", - "dialogue": "Like point E could be like their final distance." - }, - { - "start": "03:05.36", - "stop": "03:05.40", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "03:05.68", - "stop": "03:07.64", - "speaker": "Tutor", - "dialogue": "Point A might be the starting distance," - }, - { - "start": "03:08.20", - "stop": "03:10.12", - "speaker": "Tutor", - "dialogue": "And as time goes on," - }, - { - "start": "03:10.56", - "stop": "03:15.56", - "speaker": "Tutor", - "dialogue": "They show how far they are from their original point." - }, - { - "start": "03:17.04", - "stop": "03:23.56", - "speaker": "Tutor", - "dialogue": "They show how far in terms of what unit would you be thinking about if you're talking about how far they are," - }, - { - "start": "03:25.08", - "stop": "03:25.20", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "03:27.00", - "stop": "03:27.40", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "03:28.20", - "stop": "03:28.60", - "speaker": "Tutor", - "dialogue": "Distant," - }, - { - "start": "03:29.44", - "stop": "03:29.72", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "03:30.44", - "stop": "03:35.00", - "speaker": "Tutor", - "dialogue": "So point A is a starting point somewhere and Point E," - }, - { - "start": "03:35.36", - "stop": "03:38.16", - "speaker": "Tutor", - "dialogue": "You said was what the ending point?" - }, - { - "start": "03:38.52", - "stop": "03:39.36", - "speaker": "Tutor", - "dialogue": "The ending point." - }, - { - "start": "03:39.64", - "stop": "03:44.36", - "speaker": "Tutor", - "dialogue": "And it's the ending point of the miles or the ending point of the time." - }, - { - "start": "03:45.32", - "stop": "03:47.52", - "speaker": "Tutor", - "dialogue": "It's like the Um," - }, - { - "start": "03:48.20", - "stop": "03:49.88", - "speaker": "Tutor", - "dialogue": "Maybe the ending of miles." - }, - { - "start": "03:53.08", - "stop": "03:53.52", - "speaker": "Student", - "dialogue": "Interesting." - }, - { - "start": "03:54.88", - "stop": "03:59.16", - "speaker": "Tutor", - "dialogue": "You also talked earlier about on the map about being able to measure length." - }, - { - "start": "04:00.20", - "stop": "04:02.28", - "speaker": "Tutor", - "dialogue": "Does this graph measure length at all?" - }, - { - "start": "04:05.24", - "stop": "04:05.28", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "04:05.52", - "stop": "04:07.04", - "speaker": "Tutor", - "dialogue": "Measures length of time." - }, - { - "start": "04:07.92", - "stop": "04:08.16", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "04:09.28", - "stop": "04:13.32", - "speaker": "Tutor", - "dialogue": "Corresponding to the length or the distance?" - }, - { - "start": "04:15.20", - "stop": "04:15.40", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "04:15.44", - "stop": "04:21.52", - "speaker": "Tutor", - "dialogue": "I want to really understand what you're thinking about that you said the length of time corresponding to the distance." - }, - { - "start": "04:22.52", - "stop": "04:22.56", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "04:22.68", - "stop": "04:26.84", - "speaker": "Tutor", - "dialogue": "Does that mean because like it says for point B?" - }, - { - "start": "04:28.08", - "stop": "04:28.20", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "04:29.12", - "stop": "04:34.56", - "speaker": "Tutor", - "dialogue": "The time is one hour and the distance is miles fifty miles," - }, - { - "start": "04:34.76", - "stop": "04:39.24", - "speaker": "Tutor", - "dialogue": "So it could show that like in one hour they travel fifty miles." - }, - { - "start": "04:40.80", - "stop": "04:45.00", - "speaker": "Tutor", - "dialogue": "Oh so point B tells us something about both of those variables." - }, - { - "start": "04:45.60", - "stop": "04:45.64", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "04:46.28", - "stop": "04:48.44", - "speaker": "Tutor", - "dialogue": "At the same time Interesting." - }, - { - "start": "04:48.72", - "stop": "04:49.00", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "04:49.28", - "stop": "04:51.88", - "speaker": "Tutor", - "dialogue": "So you've talked about point a point B and point E." - }, - { - "start": "04:52.16", - "stop": "04:59.44", - "speaker": "Tutor", - "dialogue": "Now I would love to see where point a point B and point E are on the map." - }, - { - "start": "05:00.96", - "stop": "05:01.00", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "05:01.32", - "stop": "05:04.32", - "speaker": "Tutor", - "dialogue": "On the left-hand side there's some tools for drawing." - }, - { - "start": "05:04.64", - "stop": "05:05.36", - "speaker": "Tutor", - "dialogue": "Do you see those?" - }, - { - "start": "05:06.12", - "stop": "05:06.40", - "speaker": "Tutor", - "dialogue": "Mhm?" - }, - { - "start": "05:07.24", - "stop": "05:12.44", - "speaker": "Tutor", - "dialogue": "Could you choose one of those and let's look at point?" - }, - { - "start": "05:13.36", - "stop": "05:13.40", - "speaker": "Student", - "dialogue": "B." - }, - { - "start": "05:15.32", - "stop": "05:18.16", - "speaker": "Tutor", - "dialogue": "Where do you think point B would be on the map?" - }, - { - "start": "05:20.24", - "stop": "05:20.40", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "05:20.72", - "stop": "05:24.52", - "speaker": "Tutor", - "dialogue": "I think Point B would be around the New Jersey Turnpike over here." - }, - { - "start": "05:25.04", - "stop": "05:25.32", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "05:25.88", - "stop": "05:26.64", - "speaker": "Tutor", - "dialogue": "Like that area?" - }, - { - "start": "05:27.00", - "stop": "05:27.48", - "speaker": "Tutor", - "dialogue": "How come?" - }, - { - "start": "05:28.76", - "stop": "05:31.92", - "speaker": "Tutor", - "dialogue": "Because it says that like it's going for like fifty mile," - }, - { - "start": "05:32.28", - "stop": "05:32.72", - "speaker": "Tutor", - "dialogue": "One hour," - }, - { - "start": "05:32.84", - "stop": "05:33.44", - "speaker": "Tutor", - "dialogue": "Like a straight," - }, - { - "start": "05:33.60", - "stop": "05:34.36", - "speaker": "Tutor", - "dialogue": "Fifty miles," - }, - { - "start": "05:35.12", - "stop": "05:39.04", - "speaker": "Tutor", - "dialogue": "And like it isn't curving okay?" - }, - { - "start": "05:40.56", - "stop": "05:40.60", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "05:40.80", - "stop": "05:41.80", - "speaker": "Tutor", - "dialogue": "Graph isn't curving," - }, - { - "start": "05:42.08", - "stop": "05:43.40", - "speaker": "Tutor", - "dialogue": "Or the map isn't curving," - }, - { - "start": "05:43.52", - "stop": "05:45.96", - "speaker": "Tutor", - "dialogue": "But the grah isn't curving around." - }, - { - "start": "05:48.32", - "stop": "05:48.36", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "05:48.52", - "stop": "05:54.44", - "speaker": "Tutor", - "dialogue": "Would it mean if the graph it would have like an uneven rate ofange?" - }, - { - "start": "05:57.92", - "stop": "05:58.08", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "05:58.24", - "stop": "06:00.12", - "speaker": "Tutor", - "dialogue": "Does uneven rate of change?" - }, - { - "start": "06:01.92", - "stop": "06:02.28", - "speaker": "Student", - "dialogue": "Connect." - }, - { - "start": "06:02.40", - "stop": "06:02.96", - "speaker": "Tutor", - "dialogue": "With the map." - }, - { - "start": "06:04.64", - "stop": "06:04.76", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "06:04.88", - "stop": "06:08.76", - "speaker": "Tutor", - "dialogue": "Because it could mean that they're stopping and like starting again," - }, - { - "start": "06:09.00", - "stop": "06:13.96", - "speaker": "Tutor", - "dialogue": "Trying and like travel in different places on the way back or going okay." - }, - { - "start": "06:14.16", - "stop": "06:24.76", - "speaker": "Tutor", - "dialogue": "Do you see any uneven rates of change or any parts where they're starting or stopping Um on point D to point E?" - }, - { - "start": "06:25.36", - "stop": "06:27.60", - "speaker": "Tutor", - "dialogue": "It looks very uneven there." - }, - { - "start": "06:30.40", - "stop": "06:30.52", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "06:30.60", - "stop": "06:33.80", - "speaker": "Tutor", - "dialogue": "That mean that the road is curving there?" - }, - { - "start": "06:34.76", - "stop": "06:34.88", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "06:35.00", - "stop": "06:35.12", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "06:35.36", - "stop": "06:41.52", - "speaker": "Tutor", - "dialogue": "It means that they've stopped and started and they haven't traveled very far for very long periods of time." - }, - { - "start": "06:42.52", - "stop": "06:46.96", - "speaker": "Tutor", - "dialogue": "Can you talk about points d and e in terms of distance and time?" - }, - { - "start": "06:48.04", - "stop": "06:52.84", - "speaker": "Tutor", - "dialogue": "What's going on with the distance and Tu during those sections?" - }, - { - "start": "06:54.48", - "stop": "06:54.52", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "06:54.76", - "stop": "06:55.32", - "speaker": "Tutor", - "dialogue": "Point D," - }, - { - "start": "06:57.20", - "stop": "06:59.00", - "speaker": "Tutor", - "dialogue": "They've been traveling for two and a half hours," - }, - { - "start": "06:59.04", - "stop": "07:01.16", - "speaker": "Tutor", - "dialogue": "And then they went a hundred miles," - }, - { - "start": "07:02.64", - "stop": "07:03.68", - "speaker": "Tutor", - "dialogue": "But for point E," - }, - { - "start": "07:04.04", - "stop": "07:05.92", - "speaker": "Tutor", - "dialogue": "They tramveled forthree and a half hours," - }, - { - "start": "07:06.04", - "stop": "07:10.00", - "speaker": "Tutor", - "dialogue": "And only went around a hundred and thirty miles," - }, - { - "start": "07:10.96", - "stop": "07:12.60", - "speaker": "Tutor", - "dialogue": "Which was only thirty miles more." - }, - { - "start": "07:14.16", - "stop": "07:14.20", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "07:14.44", - "stop": "07:16.60", - "speaker": "Tutor", - "dialogue": "Where would that thirty miles more be?" - }, - { - "start": "07:17.36", - "stop": "07:19.32", - "speaker": "Tutor", - "dialogue": "Is that keeping track of Point E?" - }, - { - "start": "07:20.60", - "stop": "07:20.64", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "07:21.96", - "stop": "07:24.88", - "speaker": "Tutor", - "dialogue": "But I thought you said Point E was a hundred and thirty miles," - }, - { - "start": "07:25.28", - "stop": "07:26.56", - "speaker": "Tutor", - "dialogue": "So can it come to those?" - }, - { - "start": "07:27.92", - "stop": "07:28.24", - "speaker": "Student", - "dialogue": "Because." - }, - { - "start": "07:28.40", - "stop": "07:30.76", - "speaker": "Tutor", - "dialogue": "Point D is at the hundred depart," - }, - { - "start": "07:30.92", - "stop": "07:32.60", - "speaker": "Tutor", - "dialogue": "And then point Es up here," - }, - { - "start": "07:32.88", - "stop": "07:36.08", - "speaker": "Tutor", - "dialogue": "And that's around one thirty in that area." - }, - { - "start": "07:38.08", - "stop": "07:40.60", - "speaker": "Tutor", - "dialogue": "So what does thirty mean?" - }, - { - "start": "07:41.96", - "stop": "07:47.48", - "speaker": "Tutor", - "dialogue": "Its the distance traveled between Point D and point E in the spa of one hour." - }, - { - "start": "07:47.80", - "stop": "07:48.12", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "07:48.36", - "stop": "07:51.32", - "speaker": "Tutor", - "dialogue": "You do a fantastic job of explaining how you're thinking this is." - }, - { - "start": "07:51.52", - "stop": "07:51.96", - "speaker": "Student", - "dialogue": "Awesome." - }, - { - "start": "07:52.76", - "stop": "07:53.04", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "07:53.48", - "stop": "07:56.36", - "speaker": "Tutor", - "dialogue": "So now let's go back to labeling on the map." - }, - { - "start": "07:58.72", - "stop": "07:59.16", - "speaker": "Student", - "dialogue": "Whenever." - }, - { - "start": "07:59.52", - "stop": "08:00.80", - "speaker": "Tutor", - "dialogue": "We first had the map." - }, - { - "start": "08:01.52", - "stop": "08:08.08", - "speaker": "Tutor", - "dialogue": "I asked you to show me the path that the car takes And where did the car stot start?" - }, - { - "start": "08:08.40", - "stop": "08:10.68", - "speaker": "Tutor", - "dialogue": "And where did it end in the journey?" - }, - { - "start": "08:12.00", - "stop": "08:12.16", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "08:12.40", - "stop": "08:15.96", - "speaker": "Tutor", - "dialogue": "The car started and Providence up here," - }, - { - "start": "08:17.24", - "stop": "08:21.04", - "speaker": "Tutor", - "dialogue": "And then it went to New York," - }, - { - "start": "08:22.60", - "stop": "08:25.40", - "speaker": "Tutor", - "dialogue": "And it passed through New York City." - }, - { - "start": "08:26.56", - "stop": "08:26.60", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "08:26.84", - "stop": "08:27.56", - "speaker": "Tutor", - "dialogue": "On the graph." - }, - { - "start": "08:29.40", - "stop": "08:29.44", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "08:29.60", - "stop": "08:33.44", - "speaker": "Tutor", - "dialogue": "Said A represents the start or the end of the journey." - }, - { - "start": "08:34.84", - "stop": "08:35.00", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "08:35.24", - "stop": "08:36.40", - "speaker": "Tutor", - "dialogue": "I thought it was the end," - }, - { - "start": "08:36.56", - "stop": "08:39.48", - "speaker": "Tutor", - "dialogue": "But now I think that might be the start of the journey." - }, - { - "start": "08:40.44", - "stop": "08:42.00", - "speaker": "Tutor", - "dialogue": "Tell me why you're thinking something different." - }, - { - "start": "08:42.08", - "stop": "08:42.52", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "08:43.64", - "stop": "08:43.80", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "08:44.08", - "stop": "08:47.28", - "speaker": "Tutor", - "dialogue": "Because it says that they went through New York City," - }, - { - "start": "08:47.68", - "stop": "08:50.48", - "speaker": "Tutor", - "dialogue": "And Um points C to E," - }, - { - "start": "08:50.72", - "stop": "08:53.60", - "speaker": "Tutor", - "dialogue": "Had like a lot of uneven like stops and starts," - }, - { - "start": "08:53.68", - "stop": "08:56.56", - "speaker": "Tutor", - "dialogue": "So I'm thinking like maybe they stopped and started in New York City," - }, - { - "start": "08:56.64", - "stop": "08:58.24", - "speaker": "Tutor", - "dialogue": "To like go and enjoy the sights there." - }, - { - "start": "08:58.68", - "stop": "08:58.88", - "speaker": "Tutor", - "dialogue": "Ah," - }, - { - "start": "09:00.36", - "stop": "09:02.76", - "speaker": "Tutor", - "dialogue": "And A is the start of the graph," - }, - { - "start": "09:02.92", - "stop": "09:06.16", - "speaker": "Tutor", - "dialogue": "Which means it also has to be the start of the journey." - }, - { - "start": "09:06.92", - "stop": "09:06.96", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "09:07.32", - "stop": "09:10.40", - "speaker": "Tutor", - "dialogue": "And the car starts in Providence or Newark." - }, - { - "start": "09:11.32", - "stop": "09:11.60", - "speaker": "Student", - "dialogue": "Mhm." - }, - { - "start": "09:12.32", - "stop": "09:13.12", - "speaker": "Tutor", - "dialogue": "Where does it start?" - }, - { - "start": "09:14.08", - "stop": "09:15.44", - "speaker": "Tutor", - "dialogue": "It starts in Providence," - }, - { - "start": "09:15.56", - "stop": "09:15.88", - "speaker": "Tutor", - "dialogue": "Uppere," - }, - { - "start": "09:16.08", - "stop": "09:16.24", - "speaker": "Tutor", - "dialogue": "Ok," - }, - { - "start": "09:16.72", - "stop": "09:18.68", - "speaker": "Tutor", - "dialogue": "So now all that information," - }, - { - "start": "09:18.80", - "stop": "09:21.36", - "speaker": "Tutor", - "dialogue": "You have done a lot of really cool talking Now." - }, - { - "start": "09:21.56", - "stop": "09:29.56", - "speaker": "Tutor", - "dialogue": "I would love for you to think about how you would label the map to correspond to what you have described about in the graph." - }, - { - "start": "09:30.04", - "stop": "09:31.12", - "speaker": "Tutor", - "dialogue": "So where would the points be?" - }, - { - "start": "09:50.68", - "stop": "09:50.72", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "09:50.88", - "stop": "09:50.92", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "09:51.00", - "stop": "09:51.24", - "speaker": "Student", - "dialogue": "Drawing." - }, - { - "start": "09:51.28", - "stop": "09:52.24", - "speaker": "Tutor", - "dialogue": "Tools kind of interesting." - }, - { - "start": "09:52.40", - "stop": "09:52.56", - "speaker": "Tutor", - "dialogue": "Huh," - }, - { - "start": "09:53.44", - "stop": "09:53.48", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "11:01.36", - "stop": "11:01.52", - "speaker": "Tutor", - "dialogue": "Mm," - }, - { - "start": "11:01.56", - "stop": "11:02.48", - "speaker": "Tutor", - "dialogue": "I think that's better." - }, - { - "start": "11:03.80", - "stop": "11:04.12", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "11:07.12", - "stop": "11:07.36", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "11:12.88", - "stop": "11:13.08", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "11:13.92", - "stop": "11:13.96", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "11:14.04", - "stop": "11:14.16", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "11:14.24", - "stop": "11:16.72", - "speaker": "Tutor", - "dialogue": "See where you're labeling and you've talked about New York City." - }, - { - "start": "11:16.80", - "stop": "11:17.76", - "speaker": "Tutor", - "dialogue": "They're startin stoppin," - }, - { - "start": "11:17.92", - "stop": "11:19.12", - "speaker": "Tutor", - "dialogue": "And all of these cool things." - }, - { - "start": "11:19.56", - "stop": "11:19.72", - "speaker": "Tutor", - "dialogue": "Now." - }, - { - "start": "11:19.80", - "stop": "11:22.32", - "speaker": "Tutor", - "dialogue": "Could you describe the journey that the car takes?" - }, - { - "start": "11:22.68", - "stop": "11:29.16", - "speaker": "Tutor", - "dialogue": "And I'm going to challenge you to use distance and time in relation to each other as much as possible," - }, - { - "start": "11:29.84", - "stop": "11:30.96", - "speaker": "Tutor", - "dialogue": "So from A to B," - }, - { - "start": "11:31.48", - "stop": "11:33.48", - "speaker": "Tutor", - "dialogue": "What's going on from B to C?" - }, - { - "start": "11:33.88", - "stop": "11:36.12", - "speaker": "Tutor", - "dialogue": "What's going on for the in path?" - }, - { - "start": "11:36.28", - "stop": "11:37.48", - "speaker": "Tutor", - "dialogue": "Does that question make sense?" - }, - { - "start": "11:40.40", - "stop": "11:40.56", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "11:40.68", - "stop": "11:41.56", - "speaker": "Tutor", - "dialogue": "Points A to B," - }, - { - "start": "11:41.96", - "stop": "11:46.96", - "speaker": "Tutor", - "dialogue": "They traveled for one hour and they went fifty miles without any stops," - }, - { - "start": "11:47.16", - "stop": "11:48.80", - "speaker": "Tutor", - "dialogue": "And it was Um," - }, - { - "start": "11:49.00", - "stop": "11:51.68", - "speaker": "Tutor", - "dialogue": "A direct correlation between the miles per hour." - }, - { - "start": "11:54.24", - "stop": "11:54.36", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "11:54.48", - "stop": "11:55.52", - "speaker": "Tutor", - "dialogue": "From points B to C," - }, - { - "start": "11:55.80", - "stop": "11:59.48", - "speaker": "Tutor", - "dialogue": "They didn't do anything and they just stayed there." - }, - { - "start": "11:59.92", - "stop": "12:00.12", - "speaker": "Tutor", - "dialogue": "Con." - }, - { - "start": "12:00.52", - "stop": "12:00.76", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "12:01.00", - "stop": "12:03.04", - "speaker": "Tutor", - "dialogue": "I think I know where I screwed up on the graph." - }, - { - "start": "12:03.24", - "stop": "12:03.40", - "speaker": "Tutor", - "dialogue": "Now," - }, - { - "start": "12:04.08", - "stop": "12:04.64", - "speaker": "Tutor", - "dialogue": "What do you mean?" - }, - { - "start": "12:05.76", - "stop": "12:05.80", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "12:05.88", - "stop": "12:06.00", - "speaker": "Tutor", - "dialogue": "Mean," - }, - { - "start": "12:06.08", - "stop": "12:07.28", - "speaker": "Tutor", - "dialogue": "I think I might have screwed up," - }, - { - "start": "12:07.32", - "stop": "12:11.64", - "speaker": "Tutor", - "dialogue": "Because like they said for like half an hour and points for Um," - }, - { - "start": "12:11.80", - "stop": "12:12.68", - "speaker": "Tutor", - "dialogue": "But twein points B." - }, - { - "start": "12:12.88", - "stop": "12:13.08", - "speaker": "Tutor", - "dialogue": "The C," - }, - { - "start": "12:13.44", - "stop": "12:15.04", - "speaker": "Tutor", - "dialogue": "They traveled for half an hour," - }, - { - "start": "12:15.12", - "stop": "12:17.12", - "speaker": "Tutor", - "dialogue": "But they still say at the fifteen mark point," - }, - { - "start": "12:17.40", - "stop": "12:20.16", - "speaker": "Tutor", - "dialogue": "I think that might have been fifty miles per hour." - }, - { - "start": "12:23.52", - "stop": "12:24.04", - "speaker": "Student", - "dialogue": "Instead." - }, - { - "start": "12:24.16", - "stop": "12:27.80", - "speaker": "Tutor", - "dialogue": "Of not doing anything for half an hour." - }, - { - "start": "12:29.60", - "stop": "12:29.72", - "speaker": "Student", - "dialogue": "They." - }, - { - "start": "12:29.76", - "stop": "12:31.96", - "speaker": "Tutor", - "dialogue": "Were trying to figure out what happened between B and C." - }, - { - "start": "12:32.84", - "stop": "12:32.88", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "12:34.16", - "stop": "12:36.40", - "speaker": "Tutor", - "dialogue": "And at first you had B and C at the same point." - }, - { - "start": "12:37.40", - "stop": "12:37.60", - "speaker": "Tutor", - "dialogue": "Hm," - }, - { - "start": "12:37.84", - "stop": "12:40.12", - "speaker": "Tutor", - "dialogue": "And now you're thinking that you might want to change that," - }, - { - "start": "12:41.56", - "stop": "12:41.60", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "12:44.12", - "stop": "12:45.72", - "speaker": "Tutor", - "dialogue": "Going to let you sit with that for a minute?" - }, - { - "start": "12:46.48", - "stop": "12:46.76", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "12:47.60", - "stop": "12:48.24", - "speaker": "Tutor", - "dialogue": "Go to Cn." - }, - { - "start": "12:48.32", - "stop": "12:48.36", - "speaker": "Tutor", - "dialogue": "D." - }, - { - "start": "12:48.60", - "stop": "12:49.44", - "speaker": "Tutor", - "dialogue": "What's happening there?" - }, - { - "start": "12:50.64", - "stop": "12:51.48", - "speaker": "Tutor", - "dialogue": "Um between C," - }, - { - "start": "12:51.68", - "stop": "12:51.88", - "speaker": "Tutor", - "dialogue": "N d," - }, - { - "start": "12:52.92", - "stop": "12:53.04", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "12:53.48", - "stop": "12:55.56", - "speaker": "Tutor", - "dialogue": "It's still again direct correlation," - }, - { - "start": "12:56.12", - "stop": "12:57.00", - "speaker": "Tutor", - "dialogue": "Just like A and B." - }, - { - "start": "12:57.60", - "stop": "12:57.72", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "12:58.72", - "stop": "13:03.20", - "speaker": "Tutor", - "dialogue": "Because they traveled from fifty miles to a hundred miles in the span of one hour," - }, - { - "start": "13:03.28", - "stop": "13:04.16", - "speaker": "Tutor", - "dialogue": "So a hundred minleus." - }, - { - "start": "13:04.24", - "stop": "13:05.16", - "speaker": "Tutor", - "dialogue": "Fifty would be fifty," - }, - { - "start": "13:05.60", - "stop": "13:09.36", - "speaker": "Tutor", - "dialogue": "So it'd be fifty miles per hour again between C and B." - }, - { - "start": "13:11.00", - "stop": "13:11.04", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "13:11.20", - "stop": "13:16.36", - "speaker": "Tutor", - "dialogue": "When you talk about a direct correlation earlier used the term Um." - }, - { - "start": "13:17.64", - "stop": "13:18.60", - "speaker": "Tutor", - "dialogue": "Constant rate." - }, - { - "start": "13:18.76", - "stop": "13:23.68", - "speaker": "Tutor", - "dialogue": "I think you said Mhm as a constant rate and a direct correlation." - }, - { - "start": "13:23.84", - "stop": "13:24.88", - "speaker": "Tutor", - "dialogue": "The same thing in your mind," - }, - { - "start": "13:26.60", - "stop": "13:26.76", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "13:27.40", - "stop": "13:27.76", - "speaker": "Tutor", - "dialogue": "Kind of," - }, - { - "start": "13:28.60", - "stop": "13:32.44", - "speaker": "Tutor", - "dialogue": "Because like the constant rate means that they didn't change anything." - }, - { - "start": "13:32.68", - "stop": "13:33.88", - "speaker": "Tutor", - "dialogue": "And like a direct correlation," - }, - { - "start": "13:33.92", - "stop": "13:35.44", - "speaker": "Tutor", - "dialogue": "Wou mean that they alwait." - }, - { - "start": "13:37.88", - "stop": "13:37.92", - "speaker": "Student", - "dialogue": "Uh?" - }, - { - "start": "13:38.32", - "stop": "13:40.04", - "speaker": "Tutor", - "dialogue": "I don't know Oka." - }, - { - "start": "13:42.60", - "stop": "13:42.64", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "13:42.80", - "stop": "13:45.96", - "speaker": "Tutor", - "dialogue": "Said Constant Raate means they didn't change anything." - }, - { - "start": "13:48.28", - "stop": "13:48.32", - "speaker": "Student", - "dialogue": "C." - }, - { - "start": "13:48.64", - "stop": "13:53.08", - "speaker": "Tutor", - "dialogue": "To D is anything changing from point C to point D?" - }, - { - "start": "13:54.12", - "stop": "13:54.16", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "13:54.44", - "stop": "13:59.84", - "speaker": "Tutor", - "dialogue": "They're traveling a hundred miles in the span of fifty miles in the span of one hour," - }, - { - "start": "13:59.88", - "stop": "14:01.56", - "speaker": "Tutor", - "dialogue": "And they're constantly going up." - }, - { - "start": "14:02.24", - "stop": "14:02.52", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "14:02.84", - "stop": "14:06.16", - "speaker": "Tutor", - "dialogue": "So is distance increasing or decreasing in that section?" - }, - { - "start": "14:07.36", - "stop": "14:07.72", - "speaker": "Student", - "dialogue": "Distance." - }, - { - "start": "14:07.88", - "stop": "14:12.48", - "speaker": "Tutor", - "dialogue": "Is increasing is time increasing or decreasing in that section?" - }, - { - "start": "14:13.44", - "stop": "14:13.56", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "14:13.76", - "stop": "14:15.92", - "speaker": "Tutor", - "dialogue": "Time is also increasing so." - }, - { - "start": "14:17.88", - "stop": "14:17.96", - "speaker": "Student", - "dialogue": "Are?" - }, - { - "start": "14:18.12", - "stop": "14:19.36", - "speaker": "Tutor", - "dialogue": "Distance and time changing," - }, - { - "start": "14:19.48", - "stop": "14:20.48", - "speaker": "Tutor", - "dialogue": "Or are they staying the same?" - }, - { - "start": "14:21.20", - "stop": "14:22.44", - "speaker": "Tutor", - "dialogue": "They're both changing," - }, - { - "start": "14:23.28", - "stop": "14:25.24", - "speaker": "Tutor", - "dialogue": "So as distance is increasing," - }, - { - "start": "14:25.72", - "stop": "14:27.20", - "speaker": "Tutor", - "dialogue": "Time is also increasing." - }, - { - "start": "14:28.96", - "stop": "14:29.16", - "speaker": "Student", - "dialogue": "Hm." - }, - { - "start": "14:30.52", - "stop": "14:30.56", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "14:30.88", - "stop": "14:31.44", - "speaker": "Tutor", - "dialogue": "Also said," - }, - { - "start": "14:32.72", - "stop": "14:33.92", - "speaker": "Tutor", - "dialogue": "Something's not changing." - }, - { - "start": "14:35.64", - "stop": "14:35.68", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "14:35.80", - "stop": "14:40.12", - "speaker": "Tutor", - "dialogue": "Want to press you a little bit deeper on that thinking what's not changing?" - }, - { - "start": "14:41.24", - "stop": "14:41.36", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "14:41.52", - "stop": "14:58.72", - "speaker": "Tutor", - "dialogue": "Distance and time are changingll." - }, - { - "start": "14:58.76", - "stop": "14:58.80", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "14:58.88", - "stop": "14:59.00", - "speaker": "Tutor", - "dialogue": "Mean." - }, - { - "start": "14:59.08", - "stop": "14:59.12", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "14:59.24", - "stop": "15:00.84", - "speaker": "Tutor", - "dialogue": "Road they're taking isn't changing." - }, - { - "start": "15:01.96", - "stop": "15:02.00", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "15:02.72", - "stop": "15:04.84", - "speaker": "Tutor", - "dialogue": "The road stays the same no matter what." - }, - { - "start": "15:08.88", - "stop": "15:08.92", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "15:09.16", - "stop": "15:13.92", - "speaker": "Tutor", - "dialogue": "About this constant rate or direct correlation or miles per hour," - }, - { - "start": "15:14.88", - "stop": "15:16.56", - "speaker": "Tutor", - "dialogue": "Those aren't labeleed on the graph," - }, - { - "start": "15:16.92", - "stop": "15:18.04", - "speaker": "Tutor", - "dialogue": "But you're thinking about." - }, - { - "start": "15:18.12", - "stop": "15:18.28", - "speaker": "Student", - "dialogue": "Them." - }, - { - "start": "15:19.76", - "stop": "15:20.08", - "speaker": "Tutor", - "dialogue": "Mhm," - }, - { - "start": "15:20.68", - "stop": "15:23.28", - "speaker": "Tutor", - "dialogue": "How are those related to what's going on between C and?" - }, - { - "start": "15:23.40", - "stop": "15:23.44", - "speaker": "Student", - "dialogue": "D." - }, - { - "start": "15:28.04", - "stop": "15:28.20", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "15:28.48", - "stop": "15:28.88", - "speaker": "Tutor", - "dialogue": "Because." - }, - { - "start": "15:30.44", - "stop": "15:30.80", - "speaker": "Student", - "dialogue": "Between." - }, - { - "start": "15:31.12", - "stop": "15:31.68", - "speaker": "Tutor", - "dialogue": "C and D," - }, - { - "start": "15:32.64", - "stop": "15:33.96", - "speaker": "Tutor", - "dialogue": "It's a full hour." - }, - { - "start": "15:36.32", - "stop": "15:36.48", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "15:37.64", - "stop": "15:41.76", - "speaker": "Tutor", - "dialogue": "And the C is at starting at fifty and D ends at a hundred." - }, - { - "start": "15:42.04", - "stop": "15:45.00", - "speaker": "Tutor", - "dialogue": "Then a hundred minutes to do it be fifty sould," - }, - { - "start": "15:45.04", - "stop": "15:47.20", - "speaker": "Tutor", - "dialogue": "It be fifty miles between C and D." - }, - { - "start": "15:49.96", - "stop": "15:50.00", - "speaker": "Student", - "dialogue": "In." - }, - { - "start": "15:50.20", - "stop": "15:51.40", - "speaker": "Tutor", - "dialogue": "The span of one hour." - }, - { - "start": "15:55.20", - "stop": "15:55.44", - "speaker": "Student", - "dialogue": "Which?" - }, - { - "start": "15:55.64", - "stop": "15:56.24", - "speaker": "Tutor", - "dialogue": "Means what?" - }, - { - "start": "15:57.24", - "stop": "15:57.52", - "speaker": "Tutor", - "dialogue": "Whats?" - }, - { - "start": "15:57.56", - "stop": "15:58.28", - "speaker": "Tutor", - "dialogue": "Staying the same?" - }, - { - "start": "16:05.84", - "stop": "16:06.20", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "16:06.32", - "stop": "16:06.44", - "speaker": "Tutor", - "dialogue": "Per." - }, - { - "start": "16:06.52", - "stop": "16:06.76", - "speaker": "Student", - "dialogue": "Hour." - }, - { - "start": "16:06.96", - "stop": "16:08.16", - "speaker": "Tutor", - "dialogue": "Staying the same Y," - }, - { - "start": "16:08.92", - "stop": "16:13.00", - "speaker": "Tutor", - "dialogue": "So that rate of change is constant and is staying the same," - }, - { - "start": "16:13.48", - "stop": "16:15.64", - "speaker": "Tutor", - "dialogue": "The cars going at a constant speed." - }, - { - "start": "16:17.16", - "stop": "16:17.40", - "speaker": "Student", - "dialogue": "As." - }, - { - "start": "16:17.84", - "stop": "16:20.72", - "speaker": "Tutor", - "dialogue": "The distance is increasing and the time is increasing." - }, - { - "start": "16:24.40", - "stop": "16:29.64", - "speaker": "Tutor", - "dialogue": "That cool you're talk me about things that are increasing and something that's staying the same at the same time." - }, - { - "start": "16:31.96", - "stop": "16:32.36", - "speaker": "Student", - "dialogue": "Complex." - }, - { - "start": "16:32.60", - "stop": "16:32.84", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "16:33.28", - "stop": "16:33.52", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "16:34.08", - "stop": "16:36.28", - "speaker": "Tutor", - "dialogue": "So let's go back to B and C." - }, - { - "start": "16:38.24", - "stop": "16:39.12", - "speaker": "Tutor", - "dialogue": "Different about B and C," - }, - { - "start": "16:39.28", - "stop": "16:41.76", - "speaker": "Tutor", - "dialogue": "And it sounded like you weren't completely confident in." - }, - { - "start": "16:44.36", - "stop": "16:44.40", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "16:44.68", - "stop": "16:45.04", - "speaker": "Tutor", - "dialogue": "Seion." - }, - { - "start": "16:49.00", - "stop": "16:49.04", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "16:50.56", - "stop": "16:52.36", - "speaker": "Tutor", - "dialogue": "We have distance." - }, - { - "start": "16:53.44", - "stop": "16:54.64", - "speaker": "Tutor", - "dialogue": "Is it increasing," - }, - { - "start": "16:55.16", - "stop": "16:56.72", - "speaker": "Tutor", - "dialogue": "Decreasing or staying the same?" - }, - { - "start": "16:57.28", - "stop": "16:58.00", - "speaker": "Tutor", - "dialogue": "We have time," - }, - { - "start": "16:58.64", - "stop": "16:59.68", - "speaker": "Tutor", - "dialogue": "Is it increasing," - }, - { - "start": "16:59.96", - "stop": "17:01.36", - "speaker": "Tutor", - "dialogue": "Decreasing or staying the same?" - }, - { - "start": "17:02.04", - "stop": "17:03.40", - "speaker": "Tutor", - "dialogue": "And then you've also thought about." - }, - { - "start": "17:04.64", - "stop": "17:04.96", - "speaker": "Student", - "dialogue": "Speed." - }, - { - "start": "17:07.16", - "stop": "17:11.20", - "speaker": "Tutor", - "dialogue": "What's the distance that they've taken stays the same between and se," - }, - { - "start": "17:11.32", - "stop": "17:13.32", - "speaker": "Tutor", - "dialogue": "But the time goes on." - }, - { - "start": "17:15.48", - "stop": "17:15.52", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "17:15.68", - "stop": "17:17.48", - "speaker": "Tutor", - "dialogue": "What does that mean as happening with the car?" - }, - { - "start": "17:21.64", - "stop": "17:21.80", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "17:23.12", - "stop": "17:25.00", - "speaker": "Tutor", - "dialogue": "Maybe they aren't doing anything there," - }, - { - "start": "17:25.92", - "stop": "17:27.60", - "speaker": "Tutor", - "dialogue": "So what would that mean about the speed?" - }, - { - "start": "17:29.56", - "stop": "17:29.68", - "speaker": "Student", - "dialogue": "There." - }, - { - "start": "17:29.72", - "stop": "17:32.60", - "speaker": "Tutor", - "dialogue": "Would be noed that possible." - }, - { - "start": "17:32.72", - "stop": "17:33.44", - "speaker": "Tutor", - "dialogue": "Is that realistic?" - }, - { - "start": "17:37.04", - "stop": "17:37.16", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "17:41.60", - "stop": "17:41.76", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "17:41.88", - "stop": "17:41.96", - "speaker": "Student", - "dialogue": "They." - }, - { - "start": "17:42.04", - "stop": "17:46.52", - "speaker": "Tutor", - "dialogue": "Could have stopped the car and like not used it for like half an hour." - }, - { - "start": "17:46.76", - "stop": "17:48.04", - "speaker": "Tutor", - "dialogue": "Oh wait." - }, - { - "start": "17:48.08", - "stop": "17:48.12", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "17:48.28", - "stop": "17:50.48", - "speaker": "Tutor", - "dialogue": "They could have stopped the car and not used it for half an hour," - }, - { - "start": "17:50.60", - "stop": "17:55.16", - "speaker": "Tutor", - "dialogue": "Because they traveled fifty miles and decided to take like a half hour break." - }, - { - "start": "17:56.00", - "stop": "17:56.24", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "17:57.00", - "stop": "17:59.88", - "speaker": "Tutor", - "dialogue": "So distance is staying the same," - }, - { - "start": "18:00.88", - "stop": "18:02.88", - "speaker": "Tutor", - "dialogue": "But the time continues to increase." - }, - { - "start": "18:04.24", - "stop": "18:04.52", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "18:04.64", - "stop": "18:08.08", - "speaker": "Tutor", - "dialogue": "And the speed stays the same at zero," - }, - { - "start": "18:08.64", - "stop": "18:10.00", - "speaker": "Tutor", - "dialogue": "Meaning the car is not moving." - }, - { - "start": "18:11.24", - "stop": "18:11.28", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "18:11.40", - "stop": "18:13.84", - "speaker": "Tutor", - "dialogue": "Now go back to the label the way you labelled C and B." - }, - { - "start": "18:14.60", - "stop": "18:17.48", - "speaker": "Tutor", - "dialogue": "Do you still agree with That is C and B at the same point?" - }, - { - "start": "18:19.20", - "stop": "18:19.36", - "speaker": "Tutor", - "dialogue": "Yes," - }, - { - "start": "18:20.12", - "stop": "18:20.28", - "speaker": "Tutor", - "dialogue": "Yes," - }, - { - "start": "18:21.36", - "stop": "18:22.40", - "speaker": "Tutor", - "dialogue": "But time." - }, - { - "start": "18:22.60", - "stop": "18:23.96", - "speaker": "Tutor", - "dialogue": "If we were labeling time on," - }, - { - "start": "18:24.12", - "stop": "18:25.32", - "speaker": "Tutor", - "dialogue": "This would be different." - }, - { - "start": "18:26.08", - "stop": "18:26.12", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "18:26.80", - "stop": "18:27.12", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "18:29.00", - "stop": "18:29.20", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "18:29.44", - "stop": "18:31.32", - "speaker": "Tutor", - "dialogue": "Keep talking through what happens from D to E." - }, - { - "start": "18:32.92", - "stop": "18:33.04", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "18:33.28", - "stop": "18:34.08", - "speaker": "Tutor", - "dialogue": "From D to E," - }, - { - "start": "18:34.48", - "stop": "18:37.16", - "speaker": "Tutor", - "dialogue": "They have many stops and starts," - }, - { - "start": "18:37.84", - "stop": "18:43.28", - "speaker": "Tutor", - "dialogue": "Because like it goes up and then back like it goes up and down like a staircase," - }, - { - "start": "18:43.52", - "stop": "18:44.84", - "speaker": "Tutor", - "dialogue": "But like a really wobbly one," - }, - { - "start": "18:45.16", - "stop": "18:54.60", - "speaker": "Tutor", - "dialogue": "So they didn't really have a super accurate amount of time where they stopped the car and started the car again." - }, - { - "start": "18:56.76", - "stop": "18:56.80", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "18:57.12", - "stop": "18:58.92", - "speaker": "Tutor", - "dialogue": "Is you've talked about distance," - }, - { - "start": "18:59.12", - "stop": "18:59.88", - "speaker": "Tutor", - "dialogue": "Time and speed?" - }, - { - "start": "19:00.72", - "stop": "19:04.32", - "speaker": "Tutor", - "dialogue": "What's happening with each of those variables from D to D?" - }, - { - "start": "19:06.44", - "stop": "19:06.56", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "19:06.76", - "stop": "19:09.00", - "speaker": "Tutor", - "dialogue": "The distance is slowly increasing." - }, - { - "start": "19:09.76", - "stop": "19:18.44", - "speaker": "Tutor", - "dialogue": "The time is still increasing and the speed is also slowly increasing." - }, - { - "start": "19:20.16", - "stop": "19:20.20", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "19:20.40", - "stop": "19:22.00", - "speaker": "Tutor", - "dialogue": "The speed stay," - }, - { - "start": "19:22.56", - "stop": "19:24.88", - "speaker": "Tutor", - "dialogue": "You sounded less confident when you talked about speed." - }, - { - "start": "19:26.28", - "stop": "19:26.40", - "speaker": "Student", - "dialogue": "Your." - }, - { - "start": "19:26.48", - "stop": "19:27.60", - "speaker": "Tutor", - "dialogue": "Voice kind of trailed off." - }, - { - "start": "19:28.40", - "stop": "19:28.44", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "19:29.24", - "stop": "19:30.32", - "speaker": "Tutor", - "dialogue": "Are you still thinking about it?" - }, - { - "start": "19:30.44", - "stop": "19:30.76", - "speaker": "Tutor", - "dialogue": "Are you like?" - }, - { - "start": "19:30.88", - "stop": "19:33.08", - "speaker": "Tutor", - "dialogue": "No speed is slowly increasing." - }, - { - "start": "19:34.48", - "stop": "19:34.52", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "19:34.80", - "stop": "19:35.52", - "speaker": "Tutor", - "dialogue": "Think now." - }, - { - "start": "19:35.64", - "stop": "19:39.32", - "speaker": "Tutor", - "dialogue": "It's a bit different because like it's going in like a really wobbly pattern," - }, - { - "start": "19:40.12", - "stop": "19:48.24", - "speaker": "Tutor", - "dialogue": "So it maye like they're increasing the speed and then decreasing the speed slowly and then increasing it again and then decreasing it again." - }, - { - "start": "19:49.52", - "stop": "19:49.56", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "19:49.84", - "stop": "19:52.40", - "speaker": "Tutor", - "dialogue": "So from D to E is the speed constant?" - }, - { - "start": "19:53.52", - "stop": "19:53.64", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "19:53.88", - "stop": "19:55.88", - "speaker": "Tutor", - "dialogue": "The speed is in' constant from D to E." - }, - { - "start": "19:57.96", - "stop": "19:58.08", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "19:58.32", - "stop": "19:59.20", - "speaker": "Tutor", - "dialogue": "What happens after E?" - }, - { - "start": "20:00.64", - "stop": "20:00.68", - "speaker": "Student", - "dialogue": "E." - }, - { - "start": "20:01.24", - "stop": "20:02.84", - "speaker": "Tutor", - "dialogue": "It is constant again," - }, - { - "start": "20:03.16", - "stop": "20:09.44", - "speaker": "Tutor", - "dialogue": "But then it trails off after four hours and a little after the hundred and fifty miles park." - }, - { - "start": "20:11.76", - "stop": "20:11.80", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "20:14.48", - "stop": "20:14.52", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "20:15.36", - "stop": "20:15.52", - "speaker": "Student", - "dialogue": "There." - }, - { - "start": "20:15.60", - "stop": "20:16.00", - "speaker": "Tutor", - "dialogue": "Should be." - }, - { - "start": "20:16.88", - "stop": "20:17.84", - "speaker": "Student", - "dialogue": "An F right here." - }, - { - "start": "20:24.16", - "stop": "20:26.68", - "speaker": "Tutor", - "dialogue": "An f represents the end of the journey." - }, - { - "start": "20:30.36", - "stop": "20:30.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "20:30.56", - "stop": "20:31.36", - "speaker": "Tutor", - "dialogue": "Where would F be?" - }, - { - "start": "20:31.52", - "stop": "20:32.44", - "speaker": "Tutor", - "dialogue": "Where did they end up?" - }, - { - "start": "20:33.28", - "stop": "20:35.28", - "speaker": "Tutor", - "dialogue": "F would be in New York," - }, - { - "start": "20:35.40", - "stop": "20:36.64", - "speaker": "Tutor", - "dialogue": "Where they ended over there," - }, - { - "start": "20:37.12", - "stop": "20:37.44", - "speaker": "Tutor", - "dialogue": "Correct?" - }, - { - "start": "20:37.88", - "stop": "20:38.16", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "20:38.92", - "stop": "20:39.20", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "20:39.52", - "stop": "20:39.64", - "speaker": "Tutor", - "dialogue": "Now," - }, - { - "start": "20:39.68", - "stop": "20:41.08", - "speaker": "Tutor", - "dialogue": "I'm going to uncover something else." - }, - { - "start": "20:52.68", - "stop": "20:52.72", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "20:53.20", - "stop": "20:55.20", - "speaker": "Tutor", - "dialogue": "Is this graph going to keep track of?" - }, - { - "start": "21:05.64", - "stop": "21:05.68", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "21:05.84", - "stop": "21:06.00", - "speaker": "Tutor", - "dialogue": "Think." - }, - { - "start": "21:06.40", - "stop": "21:09.12", - "speaker": "Tutor", - "dialogue": "Keep track of the same thing as the other graph just." - }, - { - "start": "21:11.04", - "stop": "21:11.08", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "21:11.60", - "stop": "21:15.64", - "speaker": "Tutor", - "dialogue": "The variables are placed on Di on the opposite axis." - }, - { - "start": "21:17.56", - "stop": "21:17.60", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "21:18.16", - "stop": "21:18.92", - "speaker": "Tutor", - "dialogue": "In this journey." - }, - { - "start": "21:20.88", - "stop": "21:21.08", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "21:21.16", - "stop": "21:23.48", - "speaker": "Tutor", - "dialogue": "Are we going to be keeping track of distance now?" - }, - { - "start": "21:24.96", - "stop": "21:25.04", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "21:25.40", - "stop": "21:28.40", - "speaker": "Tutor", - "dialogue": "Aver here on the Exxus," - }, - { - "start": "21:28.72", - "stop": "21:32.12", - "speaker": "Tutor", - "dialogue": "And where are we going to be keeping track of time on the Wyaxus," - }, - { - "start": "21:32.56", - "stop": "21:35.76", - "speaker": "Tutor", - "dialogue": "And whenever we do a graph in the middle of this," - }, - { - "start": "21:36.40", - "stop": "21:37.32", - "speaker": "Tutor", - "dialogue": "Like in this section," - }, - { - "start": "21:38.36", - "stop": "21:40.68", - "speaker": "Tutor", - "dialogue": "What's that keeping track of Um?" - }, - { - "start": "21:41.56", - "stop": "21:45.32", - "speaker": "Tutor", - "dialogue": "That would keep track of the miles per hour?" - }, - { - "start": "21:46.40", - "stop": "21:46.44", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "21:46.60", - "stop": "21:49.48", - "speaker": "Tutor", - "dialogue": "It's going to show the relationship between time and distance." - }, - { - "start": "21:50.28", - "stop": "21:50.32", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "21:50.52", - "stop": "21:53.36", - "speaker": "Tutor", - "dialogue": "Distance is going to be changing or staying the same in some way." - }, - { - "start": "21:54.00", - "stop": "21:57.48", - "speaker": "Tutor", - "dialogue": "Time is going to be changing or staying the same in some way," - }, - { - "start": "21:58.08", - "stop": "22:06.92", - "speaker": "Tutor", - "dialogue": "And I'd like you to think about what does the graph look like That shows how they are changing or staying the same throughout this journey in relation to each." - }, - { - "start": "22:06.96", - "stop": "22:07.12", - "speaker": "Student", - "dialogue": "Other." - }, - { - "start": "22:09.76", - "stop": "22:11.08", - "speaker": "Tutor", - "dialogue": "So whenever you are ready," - }, - { - "start": "22:11.88", - "stop": "22:14.28", - "speaker": "Tutor", - "dialogue": "Sketch what you think the graph might look like." - }, - { - "start": "22:58.12", - "stop": "22:58.16", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "22:58.40", - "stop": "22:58.44", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "22:58.64", - "stop": "23:17.24", - "speaker": "Student", - "dialogue": "Was another hour one?" - }, - { - "start": "23:17.84", - "stop": "23:18.32", - "speaker": "Tutor", - "dialogue": "Forty." - }, - { - "start": "23:59.52", - "stop": "23:59.56", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "23:59.76", - "stop": "24:00.80", - "speaker": "Tutor", - "dialogue": "I my Im of it A." - }, - { - "start": "24:01.00", - "stop": "24:01.32", - "speaker": "Student", - "dialogue": "I know." - }, - { - "start": "24:42.24", - "stop": "24:42.28", - "speaker": "Tutor", - "dialogue": "Me," - }, - { - "start": "24:43.44", - "stop": "25:54.04", - "speaker": "Tutor", - "dialogue": "Um ho," - }, - { - "start": "25:54.52", - "stop": "25:55.00", - "speaker": "Tutor", - "dialogue": "Look like that." - }, - { - "start": "25:55.56", - "stop": "25:55.76", - "speaker": "Tutor", - "dialogue": "I G." - }, - { - "start": "25:57.84", - "stop": "25:57.88", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "25:58.28", - "stop": "25:59.88", - "speaker": "Tutor", - "dialogue": "Plotted all the points at first." - }, - { - "start": "26:01.20", - "stop": "26:01.36", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "26:01.44", - "stop": "26:05.00", - "speaker": "Tutor", - "dialogue": "You tell me how you thought about or how you knew B went here." - }, - { - "start": "26:05.16", - "stop": "26:05.72", - "speaker": "Tutor", - "dialogue": "For example," - }, - { - "start": "26:07.04", - "stop": "26:07.16", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "26:07.44", - "stop": "26:11.84", - "speaker": "Tutor", - "dialogue": "Because this one is distance per mile and the miles on the X axis here," - }, - { - "start": "26:12.32", - "stop": "26:14.56", - "speaker": "Tutor", - "dialogue": "And since the miles on the y axis here," - }, - { - "start": "26:14.64", - "stop": "26:23.12", - "speaker": "Tutor", - "dialogue": "I decided to use what was here and just transfer it here by like flipping it over and then like rotating it." - }, - { - "start": "26:23.24", - "stop": "26:24.60", - "speaker": "Tutor", - "dialogue": "I guess in my mind," - }, - { - "start": "26:25.24", - "stop": "26:27.88", - "speaker": "Tutor", - "dialogue": "Were you thinking about the section from A to B?" - }, - { - "start": "26:28.60", - "stop": "26:28.88", - "speaker": "Student", - "dialogue": "Or were?" - }, - { - "start": "26:28.92", - "stop": "26:33.60", - "speaker": "Tutor", - "dialogue": "You thinking it was just point B and flipping the X and y numbers?" - }, - { - "start": "26:34.64", - "stop": "26:35.40", - "speaker": "Tutor", - "dialogue": "I was thinking about." - }, - { - "start": "26:35.44", - "stop": "26:35.96", - "speaker": "Tutor", - "dialogue": "Like the section," - }, - { - "start": "26:36.16", - "stop": "26:36.32", - "speaker": "Tutor", - "dialogue": "How," - }, - { - "start": "26:36.40", - "stop": "26:36.56", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "26:36.72", - "stop": "26:39.28", - "speaker": "Tutor", - "dialogue": "Like two points like one point zero," - }, - { - "start": "26:39.40", - "stop": "26:40.20", - "speaker": "Tutor", - "dialogue": "One point there," - }, - { - "start": "26:40.72", - "stop": "26:42.08", - "speaker": "Tutor", - "dialogue": "And then like one point zero," - }, - { - "start": "26:42.16", - "stop": "26:42.76", - "speaker": "Tutor", - "dialogue": "One point there," - }, - { - "start": "26:42.80", - "stop": "26:45.28", - "speaker": "Tutor", - "dialogue": "Thato'ld be one hour and then they s tifty there," - }, - { - "start": "26:45.40", - "stop": "26:47.20", - "speaker": "Tutor", - "dialogue": "So just drive it over to the fifty," - }, - { - "start": "26:47.24", - "stop": "26:48.16", - "speaker": "Tutor", - "dialogue": "And that's how I found B." - }, - { - "start": "26:49.24", - "stop": "26:49.52", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "26:50.88", - "stop": "26:50.92", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "26:51.36", - "stop": "26:51.40", - "speaker": "Tutor", - "dialogue": "Like," - }, - { - "start": "26:51.56", - "stop": "26:58.64", - "speaker": "Tutor", - "dialogue": "The coordinates of B here are one fiftym And then here the coordinates are fifty." - }, - { - "start": "26:58.92", - "stop": "26:59.12", - "speaker": "Tutor", - "dialogue": "One." - }, - { - "start": "26:59.92", - "stop": "26:59.96", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "27:00.52", - "stop": "27:02.20", - "speaker": "Tutor", - "dialogue": "You were like inverting the coordinates." - }, - { - "start": "27:02.88", - "stop": "27:02.92", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "27:03.68", - "stop": "27:03.96", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "27:04.68", - "stop": "27:04.92", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "27:05.00", - "stop": "27:05.88", - "speaker": "Tutor", - "dialogue": "That's helpful thinking." - }, - { - "start": "27:06.24", - "stop": "27:06.56", - "speaker": "Tutor", - "dialogue": "All right," - }, - { - "start": "27:06.68", - "stop": "27:08.48", - "speaker": "Tutor", - "dialogue": "I've got another one for you." - }, - { - "start": "27:08.92", - "stop": "27:14.68", - "speaker": "Tutor", - "dialogue": "We're going to kind of improb a little bit up here because you're thinking is so cool." - }, - { - "start": "27:14.88", - "stop": "27:16.76", - "speaker": "Tutor", - "dialogue": "I'd love to hear how you think about this one." - }, - { - "start": "27:19.44", - "stop": "27:19.48", - "speaker": "Tutor", - "dialogue": "In." - }, - { - "start": "27:19.60", - "stop": "27:19.64", - "speaker": "Student", - "dialogue": "A," - }, - { - "start": "27:19.92", - "stop": "27:20.16", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "27:21.16", - "stop": "27:21.68", - "speaker": "Tutor", - "dialogue": "Wusa." - }, - { - "start": "27:27.00", - "stop": "27:27.32", - "speaker": "Student", - "dialogue": "I don't." - }, - { - "start": "27:27.40", - "stop": "27:28.08", - "speaker": "Tutor", - "dialogue": "Like that line," - }, - { - "start": "27:28.32", - "stop": "27:29.52", - "speaker": "Tutor", - "dialogue": "Let me try to do this again." - }, - { - "start": "27:29.96", - "stop": "27:36.68", - "speaker": "Tutor", - "dialogue": "I want to keep this on the same board because I want you to be able to see your previous work so this might get a little bit interesting." - }, - { - "start": "27:42.92", - "stop": "27:43.04", - "speaker": "Tutor", - "dialogue": "If." - }, - { - "start": "27:43.12", - "stop": "27:43.16", - "speaker": "Student", - "dialogue": "We." - }, - { - "start": "27:43.32", - "stop": "27:44.20", - "speaker": "Tutor", - "dialogue": "Had anothergraph?" - }, - { - "start": "27:49.36", - "stop": "27:49.40", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "27:51.16", - "stop": "27:51.44", - "speaker": "Tutor", - "dialogue": "Oh." - }, - { - "start": "27:51.60", - "stop": "27:52.16", - "speaker": "Student", - "dialogue": "That didn't work." - }, - { - "start": "27:52.36", - "stop": "27:53.28", - "speaker": "Tutor", - "dialogue": "Like I wanted it to." - }, - { - "start": "28:10.24", - "stop": "28:10.28", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "28:10.48", - "stop": "28:13.88", - "speaker": "Tutor", - "dialogue": "This is another x y coordinate of quadrant one." - }, - { - "start": "28:16.84", - "stop": "28:16.88", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "28:17.44", - "stop": "28:18.08", - "speaker": "Tutor", - "dialogue": "Down here." - }, - { - "start": "28:26.44", - "stop": "28:26.48", - "speaker": "Student", - "dialogue": "We." - }, - { - "start": "28:26.60", - "stop": "28:27.80", - "speaker": "Tutor", - "dialogue": "Were keeping track of?" - }, - { - "start": "28:34.00", - "stop": "28:34.32", - "speaker": "Student", - "dialogue": "Eat." - }, - { - "start": "28:39.64", - "stop": "28:40.32", - "speaker": "Tutor", - "dialogue": "And here?" - }, - { - "start": "28:44.56", - "stop": "28:44.60", - "speaker": "Student", - "dialogue": "We." - }, - { - "start": "28:44.76", - "stop": "28:47.20", - "speaker": "Tutor", - "dialogue": "Were keeping track of time?" - }, - { - "start": "28:53.80", - "stop": "28:53.84", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "28:54.68", - "stop": "28:54.96", - "speaker": "Tutor", - "dialogue": "Time," - }, - { - "start": "28:55.16", - "stop": "28:57.92", - "speaker": "Tutor", - "dialogue": "What units would we be using to keep track of time in this situ?" - }, - { - "start": "28:58.20", - "stop": "28:59.00", - "speaker": "Tutor", - "dialogue": "Oh yeah," - }, - { - "start": "28:59.76", - "stop": "29:00.12", - "speaker": "Tutor", - "dialogue": "Hours." - }, - { - "start": "29:00.84", - "stop": "29:05.96", - "speaker": "Tutor", - "dialogue": "And what units would we be using to keep track of speed in this situation Miles per hour?" - }, - { - "start": "29:06.12", - "stop": "29:06.16", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "29:06.76", - "stop": "29:07.52", - "speaker": "Tutor", - "dialogue": "Should do miles." - }, - { - "start": "29:08.72", - "stop": "29:08.92", - "speaker": "Student", - "dialogue": "Could?" - }, - { - "start": "29:09.00", - "stop": "29:10.24", - "speaker": "Tutor", - "dialogue": "We just do miles for speed," - }, - { - "start": "29:10.36", - "stop": "29:11.48", - "speaker": "Tutor", - "dialogue": "Or does it have to be miles?" - }, - { - "start": "29:11.56", - "stop": "29:11.92", - "speaker": "Student", - "dialogue": "Per hour." - }, - { - "start": "29:14.76", - "stop": "29:17.08", - "speaker": "Tutor", - "dialogue": "I think I think we." - }, - { - "start": "29:18.16", - "stop": "29:18.32", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "29:18.96", - "stop": "29:19.00", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "29:19.12", - "stop": "29:20.68", - "speaker": "Tutor", - "dialogue": "I think it has to be miles per hour." - }, - { - "start": "29:20.80", - "stop": "29:21.20", - "speaker": "Tutor", - "dialogue": "Actually," - }, - { - "start": "29:22.08", - "stop": "29:22.12", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "29:22.40", - "stop": "29:23.44", - "speaker": "Tutor", - "dialogue": "If it's just miles," - }, - { - "start": "29:23.52", - "stop": "29:26.24", - "speaker": "Tutor", - "dialogue": "We'd be keeping track of distance." - }, - { - "start": "29:27.88", - "stop": "29:30.32", - "speaker": "Tutor", - "dialogue": "Speed is keeping track of the miles per hour." - }, - { - "start": "29:31.44", - "stop": "29:31.72", - "speaker": "Student", - "dialogue": "All right." - }, - { - "start": "29:31.80", - "stop": "29:33.08", - "speaker": "Tutor", - "dialogue": "I'm going to try to erase this." - }, - { - "start": "29:37.60", - "stop": "29:37.64", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "29:37.88", - "stop": "29:41.96", - "speaker": "Tutor", - "dialogue": "Is another graph same situation?" - }, - { - "start": "29:44.40", - "stop": "29:44.56", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "29:44.88", - "stop": "29:48.80", - "speaker": "Tutor", - "dialogue": "Would you grafh the relationship between time and speed?" - }, - { - "start": "30:09.32", - "stop": "30:38.44", - "speaker": "Student", - "dialogue": "A Mm." - }, - { - "start": "31:09.04", - "stop": "31:11.08", - "speaker": "Tutor", - "dialogue": "This would be a very confusing graph." - }, - { - "start": "31:12.20", - "stop": "31:12.96", - "speaker": "Tutor", - "dialogue": "What do you mean by that?" - }, - { - "start": "31:14.84", - "stop": "31:14.96", - "speaker": "Tutor", - "dialogue": "Um?" - }, - { - "start": "31:15.76", - "stop": "31:18.52", - "speaker": "Tutor", - "dialogue": "Because if it were going by speed for miles per hour," - }, - { - "start": "31:18.68", - "stop": "31:19.64", - "speaker": "Tutor", - "dialogue": "Itould be like zero," - }, - { - "start": "31:19.96", - "stop": "31:20.08", - "speaker": "Tutor", - "dialogue": "Ten," - }, - { - "start": "31:20.32", - "stop": "31:20.60", - "speaker": "Tutor", - "dialogue": "Twenty," - }, - { - "start": "31:20.80", - "stop": "31:21.00", - "speaker": "Tutor", - "dialogue": "Thirty," - }, - { - "start": "31:21.08", - "stop": "31:25.76", - "speaker": "Tutor", - "dialogue": "Forty fiftyum And like from points B to points C," - }, - { - "start": "31:26.52", - "stop": "31:30.60", - "speaker": "Tutor", - "dialogue": "There is no speed there And but they are going on." - }, - { - "start": "31:31.24", - "stop": "31:32.52", - "speaker": "Tutor", - "dialogue": "Oh wait," - }, - { - "start": "31:32.68", - "stop": "31:33.16", - "speaker": "Tutor", - "dialogue": "Never mind." - }, - { - "start": "31:33.32", - "stop": "31:33.60", - "speaker": "Tutor", - "dialogue": "Hang on." - }, - { - "start": "31:34.68", - "stop": "31:34.72", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "31:35.08", - "stop": "31:35.12", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "31:35.32", - "stop": "31:35.68", - "speaker": "Tutor", - "dialogue": "What was that?" - }, - { - "start": "31:35.84", - "stop": "31:36.00", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "31:36.12", - "stop": "31:40.56", - "speaker": "Tutor", - "dialogue": "That's cool because I just realized that it wouldn't be all the way back to zero," - }, - { - "start": "31:40.68", - "stop": "31:43.32", - "speaker": "Tutor", - "dialogue": "Because that would also mean that there's no time thats passing." - }, - { - "start": "31:44.32", - "stop": "31:44.36", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "31:44.40", - "stop": "31:44.44", - "speaker": "Student", - "dialogue": "But." - }, - { - "start": "31:44.56", - "stop": "31:46.24", - "speaker": "Tutor", - "dialogue": "There would be time that would be passing," - }, - { - "start": "31:46.64", - "stop": "31:48.52", - "speaker": "Tutor", - "dialogue": "So C would be up here to like," - }, - { - "start": "31:48.68", - "stop": "31:50.28", - "speaker": "Tutor", - "dialogue": "Signified passing of time." - }, - { - "start": "31:54.04", - "stop": "31:54.08", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "31:54.24", - "stop": "31:56.20", - "speaker": "Tutor", - "dialogue": "There's some units of time that are passing," - }, - { - "start": "31:56.80", - "stop": "31:57.96", - "speaker": "Tutor", - "dialogue": "But the speed is." - }, - { - "start": "31:59.68", - "stop": "31:59.72", - "speaker": "Student", - "dialogue": "The." - }, - { - "start": "31:59.88", - "stop": "32:00.84", - "speaker": "Tutor", - "dialogue": "Speed is zero." - }, - { - "start": "32:04.32", - "stop": "32:04.36", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "32:04.68", - "stop": "32:06.00", - "speaker": "Tutor", - "dialogue": "Zero would be like here," - }, - { - "start": "32:06.28", - "stop": "32:08.08", - "speaker": "Tutor", - "dialogue": "But then time would keep on going," - }, - { - "start": "32:08.60", - "stop": "32:11.04", - "speaker": "Tutor", - "dialogue": "So I'd have to put the Sa on the Y axis." - }, - { - "start": "32:20.32", - "stop": "32:20.36", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "32:20.40", - "stop": "32:22.96", - "speaker": "Tutor", - "dialogue": "Would put it up where your cursor is like Yeah," - }, - { - "start": "32:23.20", - "stop": "32:23.96", - "speaker": "Tutor", - "dialogue": "Around that area." - }, - { - "start": "32:26.72", - "stop": "32:27.00", - "speaker": "Student", - "dialogue": "So this?" - }, - { - "start": "32:28.96", - "stop": "32:31.68", - "speaker": "Tutor", - "dialogue": "Let me see if I can follow you to build up to C." - }, - { - "start": "32:33.12", - "stop": "32:36.24", - "speaker": "Tutor", - "dialogue": "Help me understand why you put A and B where you did," - }, - { - "start": "32:37.12", - "stop": "32:41.04", - "speaker": "Tutor", - "dialogue": "Because A there's um zero miles per hour," - }, - { - "start": "32:41.16", - "stop": "32:45.16", - "speaker": "Tutor", - "dialogue": "Because they haven't gone anywhere and they didn't spend any time doing anything," - }, - { - "start": "32:45.72", - "stop": "32:51.24", - "speaker": "Tutor", - "dialogue": "But then it goes to fifty miles per hour on one hour," - }, - { - "start": "32:51.76", - "stop": "32:53.08", - "speaker": "Tutor", - "dialogue": "So B would be up there." - }, - { - "start": "32:55.00", - "stop": "32:55.04", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "32:55.24", - "stop": "32:55.72", - "speaker": "Tutor", - "dialogue": "Then C." - }, - { - "start": "32:58.08", - "stop": "32:58.20", - "speaker": "Student", - "dialogue": "They." - }, - { - "start": "32:58.44", - "stop": "32:59.68", - "speaker": "Tutor", - "dialogue": "Spend half an hour," - }, - { - "start": "33:00.84", - "stop": "33:04.32", - "speaker": "Tutor", - "dialogue": "But they aren't going anywhere and there's no speed that happens," - }, - { - "start": "33:04.52", - "stop": "33:05.80", - "speaker": "Tutor", - "dialogue": "So it B up here." - }, - { - "start": "33:08.28", - "stop": "33:08.32", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "33:08.48", - "stop": "33:13.76", - "speaker": "Tutor", - "dialogue": "Are doing a good job of explaining how you think about where point A is and point B is?" - }, - { - "start": "33:15.08", - "stop": "33:15.12", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "33:15.24", - "stop": "33:17.80", - "speaker": "Tutor", - "dialogue": "Want to challenge you to think about?" - }, - { - "start": "33:19.60", - "stop": "33:19.80", - "speaker": "Student", - "dialogue": "Where?" - }, - { - "start": "33:19.92", - "stop": "33:24.96", - "speaker": "Tutor", - "dialogue": "Is this section from A to B on your graph?" - }, - { - "start": "33:29.68", - "stop": "33:29.72", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "33:29.96", - "stop": "33:30.92", - "speaker": "Tutor", - "dialogue": "Before you draw it," - }, - { - "start": "33:31.72", - "stop": "33:38.04", - "speaker": "Tutor", - "dialogue": "Think back to what you told me was happening here in terms of distance," - }, - { - "start": "33:39.08", - "stop": "33:39.40", - "speaker": "Tutor", - "dialogue": "Time," - }, - { - "start": "33:40.48", - "stop": "33:40.80", - "speaker": "Tutor", - "dialogue": "Speed," - }, - { - "start": "33:41.56", - "stop": "33:44.72", - "speaker": "Tutor", - "dialogue": "And constant rate or miles per hour." - }, - { - "start": "34:21.68", - "stop": "34:21.72", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "34:21.84", - "stop": "34:22.88", - "speaker": "Tutor", - "dialogue": "Think I put it there," - }, - { - "start": "34:23.52", - "stop": "34:26.20", - "speaker": "Tutor", - "dialogue": "Because like as the shows," - }, - { - "start": "34:26.28", - "stop": "34:29.28", - "speaker": "Tutor", - "dialogue": "Its like aradual build up to fifty miles per hour." - }, - { - "start": "34:35.04", - "stop": "34:35.08", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "34:35.28", - "stop": "34:35.32", - "speaker": "Tutor", - "dialogue": "Is?" - }, - { - "start": "34:35.44", - "stop": "34:35.48", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "34:35.64", - "stop": "34:36.12", - "speaker": "Tutor", - "dialogue": "Gradual," - }, - { - "start": "34:37.36", - "stop": "34:37.84", - "speaker": "Tutor", - "dialogue": "A to B." - }, - { - "start": "34:38.96", - "stop": "34:39.00", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "34:39.84", - "stop": "34:41.20", - "speaker": "Tutor", - "dialogue": "They are not going okay," - }, - { - "start": "34:41.24", - "stop": "34:45.52", - "speaker": "Tutor", - "dialogue": "So I'm goninga back up to see if I understood what you said before when we were on this graph." - }, - { - "start": "34:47.68", - "stop": "34:47.72", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "34:47.88", - "stop": "34:48.52", - "speaker": "Tutor", - "dialogue": "Told me from." - }, - { - "start": "34:50.56", - "stop": "34:50.76", - "speaker": "Student", - "dialogue": "From." - }, - { - "start": "34:51.12", - "stop": "34:52.04", - "speaker": "Tutor", - "dialogue": "A to B." - }, - { - "start": "34:55.48", - "stop": "34:55.92", - "speaker": "Student", - "dialogue": "Distance." - }, - { - "start": "34:56.04", - "stop": "34:56.80", - "speaker": "Tutor", - "dialogue": "Was increasing," - }, - { - "start": "34:57.68", - "stop": "34:58.72", - "speaker": "Tutor", - "dialogue": "Time was increasing," - }, - { - "start": "34:59.36", - "stop": "35:01.00", - "speaker": "Tutor", - "dialogue": "But something was staying the same." - }, - { - "start": "35:04.00", - "stop": "35:04.24", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "35:04.52", - "stop": "35:04.64", - "speaker": "Tutor", - "dialogue": "Wa." - }, - { - "start": "35:08.12", - "stop": "35:08.16", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "35:08.44", - "stop": "35:10.52", - "speaker": "Tutor", - "dialogue": "Because like it wouldn't be gradual." - }, - { - "start": "35:10.60", - "stop": "35:15.08", - "speaker": "Tutor", - "dialogue": "Because if the miles per hour were staying the same then?" - }, - { - "start": "35:21.20", - "stop": "35:21.36", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "35:26.88", - "stop": "35:27.16", - "speaker": "Tutor", - "dialogue": "Maybe." - }, - { - "start": "35:27.20", - "stop": "35:27.24", - "speaker": "Student", - "dialogue": "It." - }, - { - "start": "35:27.28", - "stop": "35:29.72", - "speaker": "Tutor", - "dialogue": "Would be like this like a straight line." - }, - { - "start": "35:40.00", - "stop": "35:40.24", - "speaker": "Student", - "dialogue": "Straight." - }, - { - "start": "35:40.40", - "stop": "35:43.08", - "speaker": "Tutor", - "dialogue": "Line signify on your grafton." - }, - { - "start": "35:47.04", - "stop": "35:47.28", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "35:47.64", - "stop": "35:47.68", - "speaker": "Tutor", - "dialogue": "I," - }, - { - "start": "35:48.04", - "stop": "35:49.72", - "speaker": "Tutor", - "dialogue": "I drew the wrong one wrong way." - }, - { - "start": "35:52.20", - "stop": "35:52.56", - "speaker": "Student", - "dialogue": "Because." - }, - { - "start": "35:55.04", - "stop": "35:55.08", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "35:55.28", - "stop": "35:55.44", - "speaker": "Student", - "dialogue": "Line." - }, - { - "start": "35:55.52", - "stop": "35:56.48", - "speaker": "Tutor", - "dialogue": "Would have to be like." - }, - { - "start": "35:58.44", - "stop": "35:58.48", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "36:04.60", - "stop": "36:04.76", - "speaker": "Tutor", - "dialogue": "Why?" - }, - { - "start": "36:04.88", - "stop": "36:04.92", - "speaker": "Student", - "dialogue": "Is?" - }, - { - "start": "36:05.00", - "stop": "36:06.52", - "speaker": "Tutor", - "dialogue": "The line that way instead of the other way," - }, - { - "start": "36:06.84", - "stop": "36:07.96", - "speaker": "Tutor", - "dialogue": "You know as a teacher," - }, - { - "start": "36:08.00", - "stop": "36:09.20", - "speaker": "Tutor", - "dialogue": "I get so excited whenever you go." - }, - { - "start": "36:09.28", - "stop": "36:09.56", - "speaker": "Tutor", - "dialogue": "Oh wait," - }, - { - "start": "36:09.56", - "stop": "36:09.60", - "speaker": "Tutor", - "dialogue": "W," - }, - { - "start": "36:09.64", - "stop": "36:09.80", - "speaker": "Tutor", - "dialogue": "Wait," - }, - { - "start": "36:09.84", - "stop": "36:10.00", - "speaker": "Tutor", - "dialogue": "Wah," - }, - { - "start": "36:10.04", - "stop": "36:10.20", - "speaker": "Tutor", - "dialogue": "Wait." - }, - { - "start": "36:10.36", - "stop": "36:14.04", - "speaker": "Tutor", - "dialogue": "That's literally like the process of like growing the synapse in your brain and it's awesome." - }, - { - "start": "36:15.72", - "stop": "36:15.80", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "36:15.88", - "stop": "36:22.00", - "speaker": "Tutor", - "dialogue": "It'd be this way because if the miles per hour were to stay constant," - }, - { - "start": "36:22.08", - "stop": "36:26.08", - "speaker": "Tutor", - "dialogue": "Then they'd have to start at the consistent speed of what they originally went to," - }, - { - "start": "36:26.56", - "stop": "36:28.40", - "speaker": "Tutor", - "dialogue": "And since only the hours are changing," - }, - { - "start": "36:28.48", - "stop": "36:29.56", - "speaker": "Tutor", - "dialogue": "It'd have to go up." - }, - { - "start": "36:30.96", - "stop": "36:31.20", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "36:31.44", - "stop": "36:35.76", - "speaker": "Tutor", - "dialogue": "So the speed is staying constant as the time is increasing." - }, - { - "start": "36:37.04", - "stop": "36:37.28", - "speaker": "Student", - "dialogue": "Mhm," - }, - { - "start": "36:37.60", - "stop": "36:37.64", - "speaker": "Student", - "dialogue": "O." - }, - { - "start": "36:37.92", - "stop": "36:39.88", - "speaker": "Tutor", - "dialogue": "I'm going to just put a label here so I can." - }, - { - "start": "36:42.24", - "stop": "36:42.28", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "36:42.52", - "stop": "36:43.48", - "speaker": "Tutor", - "dialogue": "Is that speed right here?" - }, - { - "start": "36:44.80", - "stop": "36:44.92", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "36:45.00", - "stop": "36:46.56", - "speaker": "Tutor", - "dialogue": "That'd be fifty miles per hour." - }, - { - "start": "36:48.16", - "stop": "36:48.20", - "speaker": "Student", - "dialogue": "On." - }, - { - "start": "36:48.32", - "stop": "36:48.72", - "speaker": "Tutor", - "dialogue": "The gras." - }, - { - "start": "36:51.92", - "stop": "36:51.96", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "36:52.20", - "stop": "36:54.72", - "speaker": "Tutor", - "dialogue": "How long does the car travel At fifty miles per hour?" - }, - { - "start": "36:55.52", - "stop": "36:56.40", - "speaker": "Tutor", - "dialogue": "Um one hour?" - }, - { - "start": "36:57.00", - "stop": "36:57.28", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "36:57.76", - "stop": "36:59.04", - "speaker": "Tutor", - "dialogue": "So how would you label that?" - }, - { - "start": "37:01.88", - "stop": "37:02.00", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "37:02.20", - "stop": "37:04.44", - "speaker": "Tutor", - "dialogue": "Over here would be one like Gret Cair." - }, - { - "start": "37:06.76", - "stop": "37:06.92", - "speaker": "Student", - "dialogue": "Put." - }, - { - "start": "37:06.96", - "stop": "37:07.60", - "speaker": "Tutor", - "dialogue": "One over there for you." - }, - { - "start": "37:07.92", - "stop": "37:08.04", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "37:08.12", - "stop": "37:08.44", - "speaker": "Tutor", - "dialogue": "You did that." - }, - { - "start": "37:08.60", - "stop": "37:09.28", - "speaker": "Tutor", - "dialogue": "That's even better." - }, - { - "start": "37:09.56", - "stop": "37:09.88", - "speaker": "Tutor", - "dialogue": "Gotch." - }, - { - "start": "37:10.44", - "stop": "37:10.68", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "37:11.04", - "stop": "37:13.36", - "speaker": "Tutor", - "dialogue": "So from A to B," - }, - { - "start": "37:14.64", - "stop": "37:17.04", - "speaker": "Tutor", - "dialogue": "The car travels at a constant speed." - }, - { - "start": "37:18.64", - "stop": "37:18.68", - "speaker": "Student", - "dialogue": "Of." - }, - { - "start": "37:18.84", - "stop": "37:20.76", - "speaker": "Tutor", - "dialogue": "Fifty miles per hour for one hour." - }, - { - "start": "37:21.92", - "stop": "37:23.88", - "speaker": "Tutor", - "dialogue": "Do you agree that that's what your graph shows?" - }, - { - "start": "37:24.24", - "stop": "37:25.84", - "speaker": "Tutor", - "dialogue": "Does it match the words that you say?" - }, - { - "start": "37:27.16", - "stop": "37:27.32", - "speaker": "Tutor", - "dialogue": "Ok?" - }, - { - "start": "37:28.64", - "stop": "37:31.88", - "speaker": "Tutor", - "dialogue": "Now thinking about that from C to d," - }, - { - "start": "37:32.24", - "stop": "37:32.72", - "speaker": "Tutor", - "dialogue": "B to C." - }, - { - "start": "37:33.64", - "stop": "37:38.64", - "speaker": "Tutor", - "dialogue": "So you've thought about just point B and just point C." - }, - { - "start": "37:39.48", - "stop": "37:39.64", - "speaker": "Tutor", - "dialogue": "Now," - }, - { - "start": "37:39.72", - "stop": "37:43.36", - "speaker": "Tutor", - "dialogue": "I want you to think about what's happening in that section from B to C." - }, - { - "start": "37:59.08", - "stop": "37:59.32", - "speaker": "Student", - "dialogue": "Only." - }, - { - "start": "37:59.52", - "stop": "38:01.04", - "speaker": "Tutor", - "dialogue": "Time would be increasing," - }, - { - "start": "38:01.84", - "stop": "38:06.52", - "speaker": "Tutor", - "dialogue": "But the miles per hour would have an abrupt delake stop," - }, - { - "start": "38:07.64", - "stop": "38:22.56", - "speaker": "Tutor", - "dialogue": "So I think it could be like thischi." - }, - { - "start": "38:25.56", - "stop": "38:25.72", - "speaker": "Tutor", - "dialogue": "Going." - }, - { - "start": "38:25.76", - "stop": "38:25.80", - "speaker": "Student", - "dialogue": "To." - }, - { - "start": "38:25.84", - "stop": "38:29.08", - "speaker": "Tutor", - "dialogue": "Say out loud what you said and I want you to think about." - }, - { - "start": "38:29.16", - "stop": "38:30.28", - "speaker": "Tutor", - "dialogue": "Does your graph show this?" - }, - { - "start": "38:31.72", - "stop": "38:32.24", - "speaker": "Tutor", - "dialogue": "You said." - }, - { - "start": "38:33.56", - "stop": "38:33.72", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "38:33.76", - "stop": "38:34.04", - "speaker": "Tutor", - "dialogue": "My gosh." - }, - { - "start": "38:34.12", - "stop": "38:34.96", - "speaker": "Tutor", - "dialogue": "Now I just lost it." - }, - { - "start": "38:36.40", - "stop": "38:37.00", - "speaker": "Student", - "dialogue": "Speed." - }, - { - "start": "38:37.80", - "stop": "38:39.32", - "speaker": "Tutor", - "dialogue": "There would be an abrupt stop." - }, - { - "start": "38:42.52", - "stop": "38:42.68", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "38:42.84", - "stop": "38:43.04", - "speaker": "Tutor", - "dialogue": "Man," - }, - { - "start": "38:43.60", - "stop": "38:44.96", - "speaker": "Tutor", - "dialogue": "You said it so eloquently." - }, - { - "start": "38:45.40", - "stop": "38:46.92", - "speaker": "Tutor", - "dialogue": "Try to you say it again." - }, - { - "start": "38:48.08", - "stop": "38:48.20", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "38:48.64", - "stop": "38:51.08", - "speaker": "Tutor", - "dialogue": "There'd be an abrupt stop in the miles per hour," - }, - { - "start": "38:51.20", - "stop": "38:53.00", - "speaker": "Tutor", - "dialogue": "But the time would keep on going." - }, - { - "start": "38:53.60", - "stop": "38:53.88", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "38:54.08", - "stop": "38:56.92", - "speaker": "Tutor", - "dialogue": "There'd be an abrupt stop in miles per hour," - }, - { - "start": "38:57.00", - "stop": "38:58.64", - "speaker": "Tutor", - "dialogue": "But the time would keep increasing," - }, - { - "start": "39:00.12", - "stop": "39:00.16", - "speaker": "Tutor", - "dialogue": "What," - }, - { - "start": "39:02.04", - "stop": "39:04.04", - "speaker": "Tutor", - "dialogue": "Um to one and a half hour." - }, - { - "start": "39:04.76", - "stop": "39:05.04", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "39:07.76", - "stop": "39:11.64", - "speaker": "Tutor", - "dialogue": "And that line backwards right here shows Yeah," - }, - { - "start": "39:12.04", - "stop": "39:12.24", - "speaker": "Tutor", - "dialogue": "Rup," - }, - { - "start": "39:12.36", - "stop": "39:12.60", - "speaker": "Tutor", - "dialogue": "Stop." - }, - { - "start": "39:13.16", - "stop": "39:13.20", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "39:13.64", - "stop": "39:13.68", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "39:14.16", - "stop": "39:15.48", - "speaker": "Tutor", - "dialogue": "Cool heky." - }, - { - "start": "39:17.80", - "stop": "39:18.00", - "speaker": "Student", - "dialogue": "Now." - }, - { - "start": "39:19.60", - "stop": "39:20.60", - "speaker": "Tutor", - "dialogue": "C to D." - }, - { - "start": "39:21.64", - "stop": "39:23.04", - "speaker": "Tutor", - "dialogue": "What's happening in that section," - }, - { - "start": "39:24.24", - "stop": "39:26.32", - "speaker": "Tutor", - "dialogue": "C to D would be the same as A to B." - }, - { - "start": "39:26.56", - "stop": "39:29.68", - "speaker": "Tutor", - "dialogue": "It'd be going back up like." - }, - { - "start": "39:32.48", - "stop": "39:32.52", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "39:35.84", - "stop": "39:35.88", - "speaker": "Tutor", - "dialogue": "And?" - }, - { - "start": "39:36.04", - "stop": "39:36.24", - "speaker": "Student", - "dialogue": "Then." - }, - { - "start": "39:36.44", - "stop": "39:36.84", - "speaker": "Tutor", - "dialogue": "Hang up." - }, - { - "start": "39:37.00", - "stop": "39:37.40", - "speaker": "Tutor", - "dialogue": "Let me to." - }, - { - "start": "39:38.80", - "stop": "39:40.80", - "speaker": "Tutor", - "dialogue": "The rest of these are confusing me." - }, - { - "start": "39:41.36", - "stop": "39:41.40", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "39:41.56", - "stop": "39:46.76", - "speaker": "Tutor", - "dialogue": "And this is a really small grass will definitely make it bigger in the future based on this cool work that." - }, - { - "start": "39:46.80", - "stop": "39:47.28", - "speaker": "Student", - "dialogue": "You're doing." - }, - { - "start": "39:51.00", - "stop": "39:52.64", - "speaker": "Tutor", - "dialogue": "Like do you be up there?" - }, - { - "start": "39:56.28", - "stop": "39:56.32", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "39:56.68", - "stop": "40:00.04", - "speaker": "Tutor", - "dialogue": "Why is it a straight line of a straight vertical line again?" - }, - { - "start": "40:00.64", - "stop": "40:00.68", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "40:02.80", - "stop": "40:02.92", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "40:03.00", - "stop": "40:03.20", - "speaker": "Tutor", - "dialogue": "Come," - }, - { - "start": "40:03.28", - "stop": "40:06.28", - "speaker": "Tutor", - "dialogue": "What does that vertical line signify Um?" - }, - { - "start": "40:06.44", - "stop": "40:09.36", - "speaker": "Tutor", - "dialogue": "Because like before for A to B," - }, - { - "start": "40:10.04", - "stop": "40:14.40", - "speaker": "Tutor", - "dialogue": "The speed is constant with the distance and the time is changing." - }, - { - "start": "40:15.80", - "stop": "40:16.08", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "40:16.24", - "stop": "40:21.12", - "speaker": "Tutor", - "dialogue": "So here this line shows the speed being at a constant fifty miles," - }, - { - "start": "40:21.92", - "stop": "40:22.20", - "speaker": "Tutor", - "dialogue": "Mhm," - }, - { - "start": "40:23.04", - "stop": "40:25.52", - "speaker": "Tutor", - "dialogue": "For a period of time that's increasing." - }, - { - "start": "40:26.20", - "stop": "40:26.48", - "speaker": "Student", - "dialogue": "Mhm," - }, - { - "start": "40:26.88", - "stop": "40:27.20", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "40:30.20", - "stop": "40:30.80", - "speaker": "Tutor", - "dialogue": "Oh man," - }, - { - "start": "40:31.04", - "stop": "40:32.72", - "speaker": "Tutor", - "dialogue": "I wish there was a selection tool." - }, - { - "start": "40:33.60", - "stop": "40:34.48", - "speaker": "Student", - "dialogue": "Wonder if there it is." - }, - { - "start": "40:36.40", - "stop": "40:36.64", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "40:36.72", - "stop": "40:38.04", - "speaker": "Tutor", - "dialogue": "Let me see if I can pull this down." - }, - { - "start": "40:38.84", - "stop": "40:41.32", - "speaker": "Tutor", - "dialogue": "We're experimenting right now and it might be a mistake," - }, - { - "start": "40:41.60", - "stop": "40:42.44", - "speaker": "Tutor", - "dialogue": "But I'm going to try it." - }, - { - "start": "40:42.60", - "stop": "40:43.00", - "speaker": "Tutor", - "dialogue": "You ready?" - }, - { - "start": "40:44.60", - "stop": "40:44.76", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "40:44.84", - "stop": "40:45.36", - "speaker": "Tutor", - "dialogue": "It works." - }, - { - "start": "40:46.84", - "stop": "40:47.00", - "speaker": "Student", - "dialogue": "Ya." - }, - { - "start": "40:47.92", - "stop": "40:49.72", - "speaker": "Tutor", - "dialogue": "Is it confusing if I pull it down here?" - }, - { - "start": "40:51.00", - "stop": "40:51.16", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "40:51.76", - "stop": "40:51.88", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "40:52.08", - "stop": "40:52.60", - "speaker": "Tutor", - "dialogue": "Not really." - }, - { - "start": "40:53.08", - "stop": "40:54.12", - "speaker": "Tutor", - "dialogue": "Will you tell me where you want?" - }, - { - "start": "40:54.12", - "stop": "40:54.16", - "speaker": "Tutor", - "dialogue": "It?" - }, - { - "start": "40:54.28", - "stop": "40:57.84", - "speaker": "Tutor", - "dialogue": "Is it okay if I pull it like to here like a tiny bit higher," - }, - { - "start": "40:58.20", - "stop": "40:59.60", - "speaker": "Tutor", - "dialogue": "Kind of like ino the other," - }, - { - "start": "40:59.88", - "stop": "41:01.00", - "speaker": "Tutor", - "dialogue": "Lured by the back of it." - }, - { - "start": "41:01.68", - "stop": "41:02.24", - "speaker": "Tutor", - "dialogue": "What about that?" - }, - { - "start": "41:03.12", - "stop": "41:03.16", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "41:03.36", - "stop": "41:04.00", - "speaker": "Tutor", - "dialogue": "That looks good." - }, - { - "start": "41:04.40", - "stop": "41:04.68", - "speaker": "Tutor", - "dialogue": "Okay," - }, - { - "start": "41:05.16", - "stop": "41:08.48", - "speaker": "Tutor", - "dialogue": "I just want to give you some more space to see what else is happening here." - }, - { - "start": "41:13.28", - "stop": "41:13.56", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "41:13.96", - "stop": "41:14.48", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "41:15.32", - "stop": "41:15.84", - "speaker": "Tutor", - "dialogue": "You're at D." - }, - { - "start": "41:18.36", - "stop": "41:18.48", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "41:19.44", - "stop": "41:20.52", - "speaker": "Tutor", - "dialogue": "From D to e," - }, - { - "start": "41:21.04", - "stop": "41:22.80", - "speaker": "Tutor", - "dialogue": "The speed is uneven." - }, - { - "start": "41:25.20", - "stop": "41:26.88", - "speaker": "Tutor", - "dialogue": "It doesn't decrease." - }, - { - "start": "41:27.24", - "stop": "41:29.96", - "speaker": "Tutor", - "dialogue": "It keeps on increasing along with the time," - }, - { - "start": "41:30.64", - "stop": "41:34.60", - "speaker": "Tutor", - "dialogue": "So it would be like a diagonal line." - }, - { - "start": "41:35.40", - "stop": "41:37.48", - "speaker": "Tutor", - "dialogue": "How do you know the speed doesn't decrease?" - }, - { - "start": "41:38.88", - "stop": "41:39.00", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "41:39.08", - "stop": "41:41.96", - "speaker": "Tutor", - "dialogue": "Because if the speed were to decrease like on point B to C," - }, - { - "start": "41:42.12", - "stop": "41:44.12", - "speaker": "Tutor", - "dialogue": "It'd just be like absolutely flat," - }, - { - "start": "41:44.56", - "stop": "41:47.76", - "speaker": "Tutor", - "dialogue": "But here it's just like going up and like like." - }, - { - "start": "41:50.80", - "stop": "41:51.84", - "speaker": "Tutor", - "dialogue": "It's like stairs," - }, - { - "start": "41:52.20", - "stop": "41:52.56", - "speaker": "Tutor", - "dialogue": "I guess," - }, - { - "start": "41:53.44", - "stop": "41:55.36", - "speaker": "Tutor", - "dialogue": "And if it's stairs earlier told me," - }, - { - "start": "41:55.48", - "stop": "41:57.68", - "speaker": "Tutor", - "dialogue": "That means that the car is starting and stopping." - }, - { - "start": "42:00.68", - "stop": "42:00.80", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "42:00.88", - "stop": "42:02.12", - "speaker": "Tutor", - "dialogue": "It's starting and stopping." - }, - { - "start": "42:04.12", - "stop": "42:06.56", - "speaker": "Tutor", - "dialogue": "Happening with its time and speed," - }, - { - "start": "42:06.84", - "stop": "42:08.56", - "speaker": "Tutor", - "dialogue": "Since those are the two variables we're thinking." - }, - { - "start": "42:08.60", - "stop": "42:09.24", - "speaker": "Student", - "dialogue": "About right now." - }, - { - "start": "42:10.88", - "stop": "42:16.48", - "speaker": "Tutor", - "dialogue": "It would be going in a zigzag pattern from the wlaaxis out to like the specific speed," - }, - { - "start": "42:17.40", - "stop": "42:19.76", - "speaker": "Tutor", - "dialogue": "And if it's starting and stopping is." - }, - { - "start": "42:19.96", - "stop": "42:20.52", - "speaker": "Student", - "dialogue": "The speed?" - }, - { - "start": "42:21.20", - "stop": "42:22.04", - "speaker": "Tutor", - "dialogue": "Staying the same." - }, - { - "start": "42:22.84", - "stop": "42:25.20", - "speaker": "Tutor", - "dialogue": "Is it increasing or is it decreasing?" - }, - { - "start": "42:26.68", - "stop": "42:32.24", - "speaker": "Tutor", - "dialogue": "The speed is like decreasing and then increasing," - }, - { - "start": "42:32.36", - "stop": "42:35.16", - "speaker": "Tutor", - "dialogue": "And then like decreasing again and then increasing again." - }, - { - "start": "42:35.48", - "stop": "42:35.52", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "42:35.80", - "stop": "42:37.76", - "speaker": "Tutor", - "dialogue": "So the speed is not staying the same." - }, - { - "start": "42:37.96", - "stop": "42:38.76", - "speaker": "Tutor", - "dialogue": "It is changing," - }, - { - "start": "42:39.44", - "stop": "42:39.48", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "42:40.72", - "stop": "42:43.68", - "speaker": "Tutor", - "dialogue": "Increasing and decreasing for a period of time." - }, - { - "start": "42:46.68", - "stop": "42:46.84", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "42:46.88", - "stop": "42:53.60", - "speaker": "Tutor", - "dialogue": "So I think that this line instead would be like a zigzag?" - }, - { - "start": "42:54.84", - "stop": "42:56.44", - "speaker": "Tutor", - "dialogue": "How will you know which way to zigzag?" - }, - { - "start": "42:58.64", - "stop": "42:58.68", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "43:01.76", - "stop": "43:01.88", - "speaker": "Tutor", - "dialogue": "No." - }, - { - "start": "43:02.00", - "stop": "43:02.28", - "speaker": "Student", - "dialogue": "Clue." - }, - { - "start": "43:02.92", - "stop": "43:03.08", - "speaker": "Tutor", - "dialogue": "Well," - }, - { - "start": "43:03.16", - "stop": "43:06.72", - "speaker": "Tutor", - "dialogue": "I mean it says a like at the start of point D." - }, - { - "start": "43:07.20", - "stop": "43:10.60", - "speaker": "Tutor", - "dialogue": "It kind of stops and then like it goes back up again," - }, - { - "start": "43:11.24", - "stop": "43:17.12", - "speaker": "Tutor", - "dialogue": "So I think you'd have to start from the zero because like it stops and then it starts again," - }, - { - "start": "43:17.20", - "stop": "43:18.16", - "speaker": "Tutor", - "dialogue": "Then it stops again," - }, - { - "start": "43:18.24", - "stop": "43:19.40", - "speaker": "Tutor", - "dialogue": "Then it starts again," - }, - { - "start": "43:28.28", - "stop": "43:28.32", - "speaker": "Student", - "dialogue": "This." - }, - { - "start": "43:28.52", - "stop": "43:29.44", - "speaker": "Tutor", - "dialogue": "Whenever you're going," - }, - { - "start": "43:30.28", - "stop": "43:34.12", - "speaker": "Tutor", - "dialogue": "I'm wondering why you zigzagged it that way instead of." - }, - { - "start": "43:35.28", - "stop": "43:35.72", - "speaker": "Student", - "dialogue": "This way." - }, - { - "start": "43:38.52", - "stop": "43:38.64", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "43:38.72", - "stop": "43:40.36", - "speaker": "Tutor", - "dialogue": "Because going that way would in," - }, - { - "start": "43:40.84", - "stop": "43:41.00", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "43:43.08", - "stop": "43:43.12", - "speaker": "Student", - "dialogue": "H." - }, - { - "start": "43:43.48", - "stop": "43:43.52", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "43:43.68", - "stop": "43:44.52", - "speaker": "Tutor", - "dialogue": "That's a good point." - }, - { - "start": "43:52.76", - "stop": "43:52.88", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "43:53.00", - "stop": "43:53.80", - "speaker": "Tutor", - "dialogue": "Because that way," - }, - { - "start": "43:54.16", - "stop": "43:56.12", - "speaker": "Tutor", - "dialogue": "It would only show that the time is increasing," - }, - { - "start": "43:56.32", - "stop": "43:59.32", - "speaker": "Tutor", - "dialogue": "But that would also show that the speed is increasing as well." - }, - { - "start": "43:59.40", - "stop": "44:00.92", - "speaker": "Tutor", - "dialogue": "Although it may be a zigzag," - }, - { - "start": "44:01.44", - "stop": "44:03.32", - "speaker": "Tutor", - "dialogue": "The speed is going up that way." - }, - { - "start": "44:03.60", - "stop": "44:06.80", - "speaker": "Tutor", - "dialogue": "So if we did it that way then it wouldn't be correct." - }, - { - "start": "44:07.88", - "stop": "44:09.40", - "speaker": "Tutor", - "dialogue": "Why wouldn't it be correct about speed?" - }, - { - "start": "44:09.44", - "stop": "44:10.32", - "speaker": "Tutor", - "dialogue": "I think I understand," - }, - { - "start": "44:10.32", - "stop": "44:11.28", - "speaker": "Tutor", - "dialogue": "But Ijust want to make sure." - }, - { - "start": "44:12.16", - "stop": "44:12.28", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "44:12.44", - "stop": "44:17.60", - "speaker": "Tutor", - "dialogue": "Because the speed is going upwards when you go more to the right," - }, - { - "start": "44:18.24", - "stop": "44:20.92", - "speaker": "Tutor", - "dialogue": "But you want it to stop and then start again," - }, - { - "start": "44:21.44", - "stop": "44:25.56", - "speaker": "Tutor", - "dialogue": "So it have to be on the vertical axis instead of the horizontal." - }, - { - "start": "44:25.80", - "stop": "44:27.32", - "speaker": "Tutor", - "dialogue": "So the correx of this line," - }, - { - "start": "44:27.40", - "stop": "44:32.60", - "speaker": "Tutor", - "dialogue": "This yellow line is showing the speed continuing to increase Mhm," - }, - { - "start": "44:33.08", - "stop": "44:36.80", - "speaker": "Tutor", - "dialogue": "As time increasescreasing," - }, - { - "start": "44:37.04", - "stop": "44:40.12", - "speaker": "Tutor", - "dialogue": "And time can't increase and decrease in the scenario," - }, - { - "start": "44:40.80", - "stop": "44:40.84", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "44:42.88", - "stop": "44:43.16", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "44:43.60", - "stop": "44:44.88", - "speaker": "Tutor", - "dialogue": "And then you have one more," - }, - { - "start": "44:45.04", - "stop": "44:45.16", - "speaker": "Tutor", - "dialogue": "Right?" - }, - { - "start": "44:47.24", - "stop": "44:47.28", - "speaker": "Student", - "dialogue": "A." - }, - { - "start": "44:47.40", - "stop": "44:47.60", - "speaker": "Tutor", - "dialogue": "Em." - }, - { - "start": "45:16.80", - "stop": "45:16.96", - "speaker": "Student", - "dialogue": "Fm." - }, - { - "start": "45:17.08", - "stop": "45:17.92", - "speaker": "Tutor", - "dialogue": "Point eda F." - }, - { - "start": "45:18.20", - "stop": "45:20.00", - "speaker": "Tutor", - "dialogue": "I think it'd be going back up again." - }, - { - "start": "45:21.92", - "stop": "45:21.96", - "speaker": "Student", - "dialogue": "Like." - }, - { - "start": "45:22.20", - "stop": "45:22.24", - "speaker": "Tutor", - "dialogue": "That." - }, - { - "start": "45:25.88", - "stop": "45:25.92", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "45:26.08", - "stop": "45:29.96", - "speaker": "Tutor", - "dialogue": "It looks like you drew it at about fifty miles again." - }, - { - "start": "45:30.60", - "stop": "45:30.64", - "speaker": "Tutor", - "dialogue": "Yeah?" - }, - { - "start": "45:32.88", - "stop": "45:33.00", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "45:33.04", - "stop": "45:38.36", - "speaker": "Tutor", - "dialogue": "Do you know I understand how you know the A to B is fifty miles per hour?" - }, - { - "start": "45:39.40", - "stop": "45:41.00", - "speaker": "Tutor", - "dialogue": "Because you told me that it?" - }, - { - "start": "45:41.56", - "stop": "45:45.04", - "speaker": "Tutor", - "dialogue": "The car has traveled fifty miles in one hour." - }, - { - "start": "45:45.64", - "stop": "45:48.68", - "speaker": "Tutor", - "dialogue": "If that means that it has traveled fifty miles per hour," - }, - { - "start": "45:48.76", - "stop": "45:49.40", - "speaker": "Tutor", - "dialogue": "That's the speed." - }, - { - "start": "45:50.68", - "stop": "45:50.80", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "45:50.88", - "stop": "45:54.96", - "speaker": "Tutor", - "dialogue": "Do you know a F has a speed of fifty miles per hour?" - }, - { - "start": "45:57.56", - "stop": "45:57.68", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "45:58.04", - "stop": "46:00.96", - "speaker": "Tutor", - "dialogue": "Because if you look at uh like one half of Ea B," - }, - { - "start": "46:01.84", - "stop": "46:01.88", - "speaker": "Tutor", - "dialogue": "Like," - }, - { - "start": "46:02.64", - "stop": "46:09.04", - "speaker": "Tutor", - "dialogue": "They stop there and it's like twenty five miles in half an hour." - }, - { - "start": "46:13.72", - "stop": "46:13.76", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "46:13.88", - "stop": "46:17.44", - "speaker": "Tutor", - "dialogue": "Then looking at that point and looking at this point from Ea," - }, - { - "start": "46:17.60", - "stop": "46:17.64", - "speaker": "Tutor", - "dialogue": "F." - }, - { - "start": "46:18.24", - "stop": "46:19.40", - "speaker": "Tutor", - "dialogue": "It looks similar." - }, - { - "start": "46:20.76", - "stop": "46:20.80", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "46:21.00", - "stop": "46:23.64", - "speaker": "Tutor", - "dialogue": "The slope of that line looks similar is what you're saying." - }, - { - "start": "46:24.28", - "stop": "46:24.32", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "46:25.24", - "stop": "46:25.72", - "speaker": "Tutor", - "dialogue": "Interesting." - }, - { - "start": "46:27.84", - "stop": "46:27.88", - "speaker": "Student", - "dialogue": "I." - }, - { - "start": "46:27.96", - "stop": "46:29.24", - "speaker": "Tutor", - "dialogue": "Hadn't thought about it that way." - }, - { - "start": "46:31.04", - "stop": "46:31.64", - "speaker": "Tutor", - "dialogue": "Cool thinking." - }, - { - "start": "46:32.76", - "stop": "46:33.12", - "speaker": "Student", - "dialogue": "Although." - }, - { - "start": "46:33.16", - "stop": "46:38.40", - "speaker": "Tutor", - "dialogue": "It might be twenty miles per hour instead of like point from point e F." - }, - { - "start": "46:38.64", - "stop": "46:41.20", - "speaker": "Tutor", - "dialogue": "It might be like forty miles per hour." - }, - { - "start": "46:41.36", - "stop": "46:41.60", - "speaker": "Tutor", - "dialogue": "Sorry," - }, - { - "start": "46:42.32", - "stop": "46:42.44", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "46:42.68", - "stop": "46:44.56", - "speaker": "Tutor", - "dialogue": "Instead of fifty," - }, - { - "start": "46:45.20", - "stop": "46:49.92", - "speaker": "Tutor", - "dialogue": "Because from point point E is around a hundred and thirty miles," - }, - { - "start": "46:50.44", - "stop": "46:54.44", - "speaker": "Tutor", - "dialogue": "And point F is closer to like a hundred and fifty miles," - }, - { - "start": "46:55.76", - "stop": "46:57.44", - "speaker": "Tutor", - "dialogue": "And then a hundred and fifty miles to a hundred." - }, - { - "start": "46:57.52", - "stop": "46:58.64", - "speaker": "Tutor", - "dialogue": "Thirty is twenty miles." - }, - { - "start": "46:58.72", - "stop": "47:01.12", - "speaker": "Tutor", - "dialogue": "So I would travel twenty miles in half an hour," - }, - { - "start": "47:01.44", - "stop": "47:03.52", - "speaker": "Tutor", - "dialogue": "Which means that that wouldn't be correct," - }, - { - "start": "47:04.64", - "stop": "47:06.28", - "speaker": "Tutor", - "dialogue": "And that would have to be." - }, - { - "start": "47:09.40", - "stop": "47:09.64", - "speaker": "Student", - "dialogue": "Back." - }, - { - "start": "47:10.96", - "stop": "47:12.04", - "speaker": "Tutor", - "dialogue": "A bit and an up." - }, - { - "start": "47:14.48", - "stop": "47:14.64", - "speaker": "Student", - "dialogue": "Kind." - }, - { - "start": "47:14.68", - "stop": "47:15.36", - "speaker": "Tutor", - "dialogue": "Of like an L." - }, - { - "start": "47:16.52", - "stop": "47:18.56", - "speaker": "Tutor", - "dialogue": "Because you made it go back to West speed," - }, - { - "start": "47:19.44", - "stop": "47:22.04", - "speaker": "Tutor", - "dialogue": "Um back to forty miles Cool." - }, - { - "start": "47:22.12", - "stop": "47:24.76", - "speaker": "Tutor", - "dialogue": "And how long did it travel for forty miles an hour?" - }, - { - "start": "47:26.36", - "stop": "47:26.48", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "47:26.72", - "stop": "47:28.76", - "speaker": "Tutor", - "dialogue": "It traveled for around half an hour." - }, - { - "start": "47:28.92", - "stop": "47:30.40", - "speaker": "Student", - "dialogue": "Around half cool," - }, - { - "start": "47:32.28", - "stop": "47:32.56", - "speaker": "Student", - "dialogue": "This has." - }, - { - "start": "47:32.64", - "stop": "47:33.84", - "speaker": "Tutor", - "dialogue": "Been so interesting," - }, - { - "start": "47:34.08", - "stop": "47:34.44", - "speaker": "Tutor", - "dialogue": "Chrissie," - }, - { - "start": "47:34.48", - "stop": "47:36.76", - "speaker": "Tutor", - "dialogue": "It's been wonderful learning about how you think about this." - }, - { - "start": "47:38.08", - "stop": "47:38.12", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "47:38.68", - "stop": "47:38.80", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "47:39.84", - "stop": "47:41.20", - "speaker": "Tutor", - "dialogue": "We just have a couple more minutes." - }, - { - "start": "47:41.40", - "stop": "47:43.76", - "speaker": "Tutor", - "dialogue": "We're finished with thinking about the math right now," - }, - { - "start": "47:44.04", - "stop": "47:47.24", - "speaker": "Tutor", - "dialogue": "But I would love to hear what was this experience Like for you," - }, - { - "start": "47:49.00", - "stop": "47:51.04", - "speaker": "Tutor", - "dialogue": "It was very educational." - }, - { - "start": "47:51.40", - "stop": "47:53.72", - "speaker": "Tutor", - "dialogue": "It helped me think it through a lot more." - }, - { - "start": "47:55.36", - "stop": "47:55.40", - "speaker": "Student", - "dialogue": "What?" - }, - { - "start": "47:55.60", - "stop": "47:57.12", - "speaker": "Tutor", - "dialogue": "Did it help you think about?" - }, - { - "start": "47:58.64", - "stop": "47:58.84", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "47:58.88", - "stop": "47:59.36", - "speaker": "Tutor", - "dialogue": "When you say," - }, - { - "start": "47:59.52", - "stop": "48:01.44", - "speaker": "Tutor", - "dialogue": "Think it through more like," - }, - { - "start": "48:01.84", - "stop": "48:05.68", - "speaker": "Tutor", - "dialogue": "It helped me think about how it would work and why it would work that way," - }, - { - "start": "48:05.76", - "stop": "48:08.04", - "speaker": "Tutor", - "dialogue": "Instead of just like randomly writing it down being like," - }, - { - "start": "48:08.16", - "stop": "48:08.28", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "48:08.32", - "stop": "48:08.36", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "48:08.52", - "stop": "48:09.96", - "speaker": "Tutor", - "dialogue": "It just works because it works." - }, - { - "start": "48:11.36", - "stop": "48:11.40", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "48:11.56", - "stop": "48:13.44", - "speaker": "Tutor", - "dialogue": "It made you think about the proof a little bit more." - }, - { - "start": "48:14.00", - "stop": "48:14.04", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "48:14.76", - "stop": "48:15.88", - "speaker": "Tutor", - "dialogue": "Or the reasoning behind it." - }, - { - "start": "48:16.64", - "stop": "48:16.68", - "speaker": "Tutor", - "dialogue": "Yeah," - }, - { - "start": "48:16.92", - "stop": "48:18.56", - "speaker": "Tutor", - "dialogue": "Because I normally shuck aut that stuff." - }, - { - "start": "48:20.12", - "stop": "48:20.32", - "speaker": "Tutor", - "dialogue": "Oh," - }, - { - "start": "48:20.52", - "stop": "48:28.56", - "speaker": "Tutor", - "dialogue": "That's interesting that you say that because I think the way that you were reasoning and making sense and trusting your instinct was really powerful." - }, - { - "start": "48:29.04", - "stop": "48:33.40", - "speaker": "Tutor", - "dialogue": "Oftentimes whenever Um students are asked questions," - }, - { - "start": "48:33.84", - "stop": "48:37.28", - "speaker": "Tutor", - "dialogue": "They assume they did something wrong and you didn't do that." - }, - { - "start": "48:37.80", - "stop": "48:38.48", - "speaker": "Tutor", - "dialogue": "You are like Num." - }, - { - "start": "48:38.60", - "stop": "48:40.20", - "speaker": "Tutor", - "dialogue": "I'm going to tell you what I'm thinking about." - }, - { - "start": "48:41.00", - "stop": "48:41.04", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "48:41.20", - "stop": "48:43.40", - "speaker": "Tutor", - "dialogue": "I would describe you as a very powerful reasoner." - }, - { - "start": "48:44.76", - "stop": "48:44.80", - "speaker": "Tutor", - "dialogue": "You." - }, - { - "start": "48:45.96", - "stop": "48:48.60", - "speaker": "Tutor", - "dialogue": "Is there anything you think would be helpful for me to know," - }, - { - "start": "48:49.16", - "stop": "48:52.92", - "speaker": "Tutor", - "dialogue": "As we work with more students on this situation in this platform," - }, - { - "start": "48:53.36", - "stop": "48:54.88", - "speaker": "Tutor", - "dialogue": "Things that would be more helpful to you?" - }, - { - "start": "48:57.20", - "stop": "48:57.32", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "48:58.36", - "stop": "48:58.48", - "speaker": "Tutor", - "dialogue": "No," - }, - { - "start": "48:58.64", - "stop": "48:59.96", - "speaker": "Tutor", - "dialogue": "This is actually pretty good." - }, - { - "start": "49:00.00", - "stop": "49:00.04", - "speaker": "Tutor", - "dialogue": "I." - }, - { - "start": "49:00.20", - "stop": "49:00.96", - "speaker": "Tutor", - "dialogue": "I like it a lot." - }, - { - "start": "49:01.92", - "stop": "49:03.00", - "speaker": "Tutor", - "dialogue": "What did you like about it?" - }, - { - "start": "49:04.00", - "stop": "49:04.12", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "49:04.20", - "stop": "49:07.52", - "speaker": "Tutor", - "dialogue": "I like how you step with through like step by step explaining it," - }, - { - "start": "49:07.60", - "stop": "49:09.44", - "speaker": "Tutor", - "dialogue": "And like making me think about it more." - }, - { - "start": "49:10.08", - "stop": "49:11.60", - "speaker": "Tutor", - "dialogue": "Instead of just like saying here," - }, - { - "start": "49:11.72", - "stop": "49:12.52", - "speaker": "Tutor", - "dialogue": "Write this down." - }, - { - "start": "49:12.76", - "stop": "49:13.48", - "speaker": "Tutor", - "dialogue": "Write that down." - }, - { - "start": "49:13.80", - "stop": "49:18.16", - "speaker": "Tutor", - "dialogue": "Do this equation like without asking me questions about," - }, - { - "start": "49:18.28", - "stop": "49:21.80", - "speaker": "Tutor", - "dialogue": "Like why it's that way or like letting me do it myself." - }, - { - "start": "49:22.64", - "stop": "49:22.68", - "speaker": "Tutor", - "dialogue": "I," - }, - { - "start": "49:23.60", - "stop": "49:24.12", - "speaker": "Tutor", - "dialogue": "That's cool." - }, - { - "start": "49:24.52", - "stop": "49:25.28", - "speaker": "Tutor", - "dialogue": "That's really awesome." - }, - { - "start": "49:25.36", - "stop": "49:26.12", - "speaker": "Tutor", - "dialogue": "Thank you for sharing that," - }, - { - "start": "49:26.64", - "stop": "49:28.12", - "speaker": "Tutor", - "dialogue": "And also thank you for your patience." - }, - { - "start": "49:28.16", - "stop": "49:30.00", - "speaker": "Tutor", - "dialogue": "As we had to reschedule this a couple of times." - }, - { - "start": "49:30.96", - "stop": "49:31.08", - "speaker": "Tutor", - "dialogue": "Um," - }, - { - "start": "49:31.32", - "stop": "49:34.16", - "speaker": "Tutor", - "dialogue": "I appreciate it and I'm so glad I got to learn from you." - }, - { - "start": "49:34.28", - "stop": "49:39.68", - "speaker": "Tutor", - "dialogue": "To-day it was really helpful and the way you were thinking and explaining is really going to help us help other students learn," - }, - { - "start": "49:39.80", - "stop": "49:39.92", - "speaker": "Tutor", - "dialogue": "Too." - }, - { - "start": "49:40.76", - "stop": "49:40.92", - "speaker": "Student", - "dialogue": "Ok." - } -] \ No newline at end of file diff --git a/data/amber/x0446.json b/data/amber/x0446.json deleted file mode 100644 index 6fba848..0000000 --- a/data/amber/x0446.json +++ /dev/null @@ -1,1628 +0,0 @@ -[ - { - "start": "00:02.72", - "stop": "00:07.20", - "speaker": "Tutor", - "dialogue": "On the left hand side of your screen you should see a blue bar with some tools in it." - }, - { - "start": "00:08.68", - "stop": "00:13.84", - "speaker": "Tutor", - "dialogue": "Do you see that the third one down is a pencil?" - }, - { - "start": "00:14.52", - "stop": "00:26.04", - "speaker": "Tutor", - "dialogue": "If you click on that, you'll be able to draw and there'll be a box that pops up above the arrow that I just drew. That you can change the color or the size if you want to." - }, - { - "start": "00:28.92", - "stop": "00:34.48", - "speaker": "Tutor", - "dialogue": "The next tool we're going to talk about is the square with a t in the middle." - }, - { - "start": "00:35.00", - "stop": "00:45.16", - "speaker": "Tutor", - "dialogue": "If you click on that, it is a text-box that you can move around and you can type if you prefer to type instead of draw." - }, - { - "start": "00:47.72", - "stop": "00:57.60", - "speaker": "Tutor", - "dialogue": "The third thing we're going to go over is erasing, so if you want to change your mind and erase something, do not hit the trash can button." - }, - { - "start": "00:58.76", - "stop": "01:02.92", - "speaker": "Tutor", - "dialogue": "Instead, you want to make sure that your top arrow is selected." - }, - { - "start": "01:04.08", - "stop": "01:07.00", - "speaker": "Tutor", - "dialogue": "Click on whatever it is you want to erase." - }, - { - "start": "01:07.92", - "stop": "01:26.60", - "speaker": "Tutor", - "dialogue": "Once it's selected, you can move it or erase it, and to erase you can hit the backspace or delete button on your keyboard, or you can click the arrow with an x in the middle of it down here, so try to draw or type something and then practice erasing what you draw." - }, - { - "start": "01:41.60", - "stop": "01:42.00", - "speaker": "Tutor", - "dialogue": "perfect." - }, - { - "start": "01:43.92", - "stop": "01:47.92", - "speaker": "Tutor", - "dialogue": "Now click on one of those letters to erase just one of them." - }, - { - "start": "01:55.28", - "stop": "01:59.36", - "speaker": "Tutor", - "dialogue": "so you have to use your top arrow to go into your select tool." - }, - { - "start": "01:59.80", - "stop": "02:08.84", - "speaker": "Tutor", - "dialogue": "And then now, once it's selected like that, then you can hit there." - }, - { - "start": "02:08.88", - "stop": "02:11.48", - "speaker": "Tutor", - "dialogue": "You go cool questions on erasing." - }, - { - "start": "02:14.92", - "stop": "02:29.28", - "speaker": "Tutor", - "dialogue": "You can also close your chatbox, cause we'll be talking back and forth like this, so that way you have a bigger space to work on, and when we're working, I'm going to ask you a lot of questions." - }, - { - "start": "02:29.84", - "stop": "02:31.96", - "speaker": "Tutor", - "dialogue": "That doesn't mean that you got something wrong." - }, - { - "start": "02:32.28", - "stop": "02:40.32", - "speaker": "Tutor", - "dialogue": "It just means I want you to explain more about how you are thinking, because the more I know about how you're thinking, the more I know how to help." - }, - { - "start": "02:40.36", - "stop": "02:41.84", - "speaker": "Student", - "dialogue": "You, Ok?" - }, - { - "start": "02:42.40", - "stop": "02:44.32", - "speaker": "Tutor", - "dialogue": "Cool, cool." - }, - { - "start": "02:44.60", - "stop": "02:44.96", - "speaker": "Tutor", - "dialogue": "all right?" - }, - { - "start": "02:45.84", - "stop": "02:46.80", - "speaker": "Student", - "dialogue": "I have a question." - }, - { - "start": "02:47.08", - "stop": "02:48.80", - "speaker": "Student", - "dialogue": "Yes, do loss a chat?" - }, - { - "start": "02:49.88", - "stop": "02:58.40", - "speaker": "Tutor", - "dialogue": "Ah, there are two arrows that are kind of purplish-gray at the top of the chat-box" - }, - { - "start": "03:01.32", - "stop": "03:04.80", - "speaker": "Tutor", - "dialogue": "If you click on that, it'll erase your Ar." - }, - { - "start": "03:04.84", - "stop": "03:05.00", - "speaker": "Tutor", - "dialogue": "Ims." - }, - { - "start": "03:05.04", - "stop": "03:07.80", - "speaker": "Tutor", - "dialogue": "Sorry, it'll close your chat-box and make your white screen bigger." - }, - { - "start": "03:11.76", - "stop": "03:12.40", - "speaker": "Tutor", - "dialogue": "Did that work" - }, - { - "start": "03:16.56", - "stop": "03:16.92", - "speaker": "Tutor", - "dialogue": "All right?" - }, - { - "start": "03:17.16", - "stop": "03:18.72", - "speaker": "Tutor", - "dialogue": "I'm going to turn the page now." - }, - { - "start": "03:19.84", - "stop": "03:21.76", - "speaker": "Tutor", - "dialogue": "Do you see something different on your screen?" - }, - { - "start": "03:25.64", - "stop": "03:30.84", - "speaker": "Tutor", - "dialogue": "Take a minute to read it and then explain what you think is happening in this situation." - }, - { - "start": "03:54.76", - "stop": "03:56.96", - "speaker": "Tutor", - "dialogue": "What do you think is going on in this situation?" - }, - { - "start": "04:01.76", - "stop": "04:07.88", - "speaker": "Student", - "dialogue": "It is showing like a car journey, Tom, one place to another." - }, - { - "start": "04:09.56", - "stop": "04:15.20", - "speaker": "Tutor", - "dialogue": "Well, can you show with your arrow where the car starts and how it takes the journey?" - }, - { - "start": "04:17.24", - "stop": "04:22.96", - "speaker": "Student", - "dialogue": "From heres, I starts and down hereso." - }, - { - "start": "04:24.68", - "stop": "04:27.24", - "speaker": "Tutor", - "dialogue": "How does it get from Providence to Newark?" - }, - { - "start": "04:29.56", - "stop": "04:32.72", - "speaker": "Student", - "dialogue": "It travels through the route." - }, - { - "start": "04:33.48", - "stop": "04:38.08", - "speaker": "Tutor", - "dialogue": "Yeah, and that route, the name of that interstate is called I ninety five." - }, - { - "start": "04:38.72", - "stop": "04:41.80", - "speaker": "Tutor", - "dialogue": "So that's the road or the path that they're taking." - }, - { - "start": "04:44.20", - "stop": "04:48.48", - "speaker": "Tutor", - "dialogue": "What are some things we might be able to measure in this situation?" - }, - { - "start": "04:57.88", - "stop": "05:05.00", - "speaker": "Student", - "dialogue": "How long the carar?" - }, - { - "start": "05:05.20", - "stop": "05:05.68", - "speaker": "Tutor", - "dialogue": "Travels." - }, - { - "start": "05:07.32", - "stop": "05:07.44", - "speaker": "Student", - "dialogue": "If." - }, - { - "start": "05:07.52", - "stop": "05:10.36", - "speaker": "Tutor", - "dialogue": "We were going to find out how long the car travels." - }, - { - "start": "05:10.80", - "stop": "05:12.80", - "speaker": "Tutor", - "dialogue": "What units would we use to measure?" - }, - { - "start": "05:12.88", - "stop": "05:16.32", - "speaker": "Student", - "dialogue": "That miles?" - }, - { - "start": "05:17.88", - "stop": "05:21.64", - "speaker": "Tutor", - "dialogue": "So we could measure the distance the car has traveled in miles." - }, - { - "start": "05:23.64", - "stop": "05:23.80", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "05:25.72", - "stop": "05:27.08", - "speaker": "Tutor", - "dialogue": "What else could we measure?" - }, - { - "start": "05:33.24", - "stop": "05:34.24", - "speaker": "Student", - "dialogue": "How long the route?" - }, - { - "start": "05:34.44", - "stop": "05:39.00", - "speaker": "Tutor", - "dialogue": "Is what unit would we use to measure how long the route?" - }, - { - "start": "05:39.16", - "stop": "05:52.24", - "speaker": "Student", - "dialogue": "Is Miles proly?" - }, - { - "start": "05:52.64", - "stop": "06:23.00", - "speaker": "Tutor", - "dialogue": "Ok, are there any other units we could use to measure stuff in this situation and it's okay to say that's all I can think of right now, or I'm not sure I need some more time to think." - }, - { - "start": "06:24.68", - "stop": "06:25.84", - "speaker": "Student", - "dialogue": "That's all I can think." - }, - { - "start": "06:27.32", - "stop": "06:28.20", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "06:28.48", - "stop": "06:30.92", - "speaker": "Tutor", - "dialogue": "and you can say those two things any time" - }, - { - "start": "06:31.00", - "stop": "06:31.96", - "speaker": "Tutor", - "dialogue": "I ask you something." - }, - { - "start": "06:32.52", - "stop": "06:35.80", - "speaker": "Tutor", - "dialogue": "I'm not sure yet or I need some more time to think about it." - }, - { - "start": "06:36.64", - "stop": "06:45.40", - "speaker": "Tutor", - "dialogue": "Okay, Okay, all right, I'm going to uncover something now and you tell me how it's similar or different to what you were thinking about." - }, - { - "start": "07:11.84", - "stop": "07:15.52", - "speaker": "Tutor", - "dialogue": "Is this the same things you were thinking about measuring, or is it different?" - }, - { - "start": "07:17.96", - "stop": "07:31.60", - "speaker": "Student", - "dialogue": "Is mostly same because it is the distance and it's air route showing from where it starts going." - }, - { - "start": "07:33.72", - "stop": "07:39.56", - "speaker": "Tutor", - "dialogue": "Okay, so you see that this graph is also measuring or keeping track of distance?" - }, - { - "start": "07:41.16", - "stop": "07:43.08", - "speaker": "Tutor", - "dialogue": "Yeah, and they are using miles" - }, - { - "start": "07:43.24", - "stop": "07:43.48", - "speaker": "Tutor", - "dialogue": "For that." - }, - { - "start": "07:44.40", - "stop": "07:46.64", - "speaker": "Tutor", - "dialogue": "What else is this graph keeping track?" - }, - { - "start": "07:46.72", - "stop": "07:50.20", - "speaker": "Student", - "dialogue": "Of the hours." - }, - { - "start": "07:51.08", - "stop": "07:56.00", - "speaker": "Tutor", - "dialogue": "Yeah, so how much time is changing?" - }, - { - "start": "07:56.28", - "stop": "07:56.60", - "speaker": "Tutor", - "dialogue": "Also?" - }, - { - "start": "07:58.68", - "stop": "08:41.64", - "speaker": "Tutor", - "dialogue": "So now if you look at the map and the graph, describe what's happening during each stage of the journey, So what do you think is going on in the beginning of the trip, the middle of the trip, and as they keep going along the journey, what's happening?" - }, - { - "start": "08:47.56", - "stop": "08:53.16", - "speaker": "Student", - "dialogue": "Each hours the di, each hours the distance and increases." - }, - { - "start": "08:54.88", - "stop": "08:57.76", - "speaker": "Tutor", - "dialogue": "Okay, so some things might be increasing." - }, - { - "start": "08:57.80", - "stop": "08:59.08", - "speaker": "Tutor", - "dialogue": "I'm gona write that word up here" - }, - { - "start": "08:59.16", - "stop": "09:00.40", - "speaker": "Tutor", - "dialogue": "so we can keep track of it." - }, - { - "start": "09:08.20", - "stop": "09:10.32", - "speaker": "Tutor", - "dialogue": "Is anything staying the same?" - }, - { - "start": "09:24.52", - "stop": "09:24.68", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "09:26.64", - "stop": "09:26.88", - "speaker": "Tutor", - "dialogue": "From." - }, - { - "start": "09:28.92", - "stop": "09:32.08", - "speaker": "Student", - "dialogue": "From when it started to one hour." - }, - { - "start": "09:34.52", - "stop": "09:38.36", - "speaker": "Tutor", - "dialogue": "What stayed the same from when it started until one hour?" - }, - { - "start": "09:47.96", - "stop": "09:48.40", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "09:51.40", - "stop": "09:58.32", - "speaker": "Tutor", - "dialogue": "Okay, so from zero minutes to one hour, the distance stays the same." - }, - { - "start": "10:03.64", - "stop": "10:06.00", - "speaker": "Student", - "dialogue": "Oh, no, it increases." - }, - { - "start": "10:06.60", - "stop": "10:08.76", - "speaker": "Tutor", - "dialogue": "Oh, how do you see it increasing?" - }, - { - "start": "10:09.00", - "stop": "10:10.68", - "speaker": "Tutor", - "dialogue": "Show me how you know it's increasing." - }, - { - "start": "10:18.96", - "stop": "10:24.76", - "speaker": "Student", - "dialogue": "It's going uh, enough being constant here." - }, - { - "start": "10:26.12", - "stop": "10:38.84", - "speaker": "Tutor", - "dialogue": "Oh, so from A to B, distance is increasing and time is increasing, and from B to C, something different is happening." - }, - { - "start": "10:39.04", - "stop": "10:40.48", - "speaker": "Tutor", - "dialogue": "What did you say was happening there?" - }, - { - "start": "10:41.44", - "stop": "10:42.96", - "speaker": "Student", - "dialogue": "Is St. constant?" - }, - { - "start": "10:44.04", - "stop": "10:45.32", - "speaker": "Tutor", - "dialogue": "What state constant?" - }, - { - "start": "10:49.84", - "stop": "10:55.28", - "speaker": "Student", - "dialogue": "The the miles of Pern per hour." - }, - { - "start": "10:57.08", - "stop": "11:00.48", - "speaker": "Tutor", - "dialogue": "Ah, there's another word." - }, - { - "start": "11:00.56", - "stop": "11:17.36", - "speaker": "Tutor", - "dialogue": "we're going to put down here miles per houry." - }, - { - "start": "11:19.20", - "stop": "11:22.24", - "speaker": "Tutor", - "dialogue": "And you also said something stays constant." - }, - { - "start": "11:23.32", - "stop": "11:26.28", - "speaker": "Tutor", - "dialogue": "We're going to talk about staying the same and another way" - }, - { - "start": "11:26.32", - "stop": "11:30.80", - "speaker": "Tutor", - "dialogue": "we can describe that A Ok." - }, - { - "start": "11:31.44", - "stop": "11:33.16", - "speaker": "Tutor", - "dialogue": "and then we're also going to be talking about" - }, - { - "start": "11:33.36", - "stop": "11:34.84", - "speaker": "Tutor", - "dialogue": "Is anything decreasing?" - }, - { - "start": "11:39.84", - "stop": "11:50.00", - "speaker": "Tutor", - "dialogue": "All right, Hol, think about those purple words and predict where you think Point" - }, - { - "start": "11:50.20", - "stop": "12:04.36", - "speaker": "Tutor", - "dialogue": "A would be on the map and you can go ahead and label it with your tools." - }, - { - "start": "12:04.48", - "stop": "12:04.88", - "speaker": "Tutor", - "dialogue": "Somehow." - }, - { - "start": "12:10.80", - "stop": "12:12.00", - "speaker": "Tutor", - "dialogue": "Why do you think point" - }, - { - "start": "12:12.08", - "stop": "12:12.88", - "speaker": "Tutor", - "dialogue": "A goes there?" - }, - { - "start": "12:14.24", - "stop": "12:16.60", - "speaker": "Student", - "dialogue": "Because it's where the journey starts." - }, - { - "start": "12:18.00", - "stop": "12:21.08", - "speaker": "Tutor", - "dialogue": "And you know it's where the journey starts, because it's where the graph starts." - }, - { - "start": "12:22.24", - "stop": "12:23.16", - "speaker": "Tutor", - "dialogue": "Yes, cool." - }, - { - "start": "12:23.52", - "stop": "12:23.84", - "speaker": "Tutor", - "dialogue": "all right." - }, - { - "start": "12:23.96", - "stop": "12:24.44", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "12:24.60", - "stop": "12:27.32", - "speaker": "Tutor", - "dialogue": "Where do you think point B would be located?" - }, - { - "start": "12:49.24", - "stop": "13:05.84", - "speaker": "Tutor", - "dialogue": "E. Yup, and I'm going to ask you to label all the points" - }, - { - "start": "13:06.32", - "stop": "13:07.60", - "speaker": "Tutor", - "dialogue": "so you can choose to do" - }, - { - "start": "13:07.76", - "stop": "13:10.40", - "speaker": "Tutor", - "dialogue": "B next, or you can choose to do any of your points." - }, - { - "start": "13:27.52", - "stop": "13:54.56", - "speaker": "Tutor", - "dialogue": "Be thinking about why you put 'em where you put 'em four." - }, - { - "start": "14:32.88", - "stop": "14:35.44", - "speaker": "Tutor", - "dialogue": "All right, Are you still thinking or are you ready to talk?" - }, - { - "start": "14:36.48", - "stop": "14:37.64", - "speaker": "Student", - "dialogue": "I'm ready to talk." - }, - { - "start": "14:38.20", - "stop": "14:44.24", - "speaker": "Tutor", - "dialogue": "Okay, help me understand why you put point B where you did." - }, - { - "start": "14:46.12", - "stop": "14:58.28", - "speaker": "Student", - "dialogue": "Well, I put point b here so because it was an indent or so, and C here so is looking like it's constant" - }, - { - "start": "15:01.12", - "stop": "15:08.64", - "speaker": "Student", - "dialogue": "The same lane and this is not, is moving upward." - }, - { - "start": "15:09.00", - "stop": "15:28.40", - "speaker": "Tutor", - "dialogue": "But not a. You're looking at the shape of this line and trying to match it up to the shape of a line over here." - }, - { - "start": "15:30.96", - "stop": "15:32.28", - "speaker": "Tutor", - "dialogue": "Yeah, okay, cool." - }, - { - "start": "15:33.48", - "stop": "15:36.28", - "speaker": "Tutor", - "dialogue": "let's look at the graph again for a second." - }, - { - "start": "15:36.44", - "stop": "16:03.04", - "speaker": "Tutor", - "dialogue": "Okay from a B. Tell me what is happening with distance and time, Using these purple power words is time increasing decreasing or staying the same?" - }, - { - "start": "16:04.60", - "stop": "16:13.52", - "speaker": "Tutor", - "dialogue": "Is distance increasing decreasing or staying the same from point A to point?" - }, - { - "start": "16:13.64", - "stop": "16:27.68", - "speaker": "Student", - "dialogue": "B, while the time is increasing, the distance is also increasing." - }, - { - "start": "16:28.48", - "stop": "16:28.88", - "speaker": "Tutor", - "dialogue": "Very cool." - }, - { - "start": "16:28.92", - "stop": "16:29.52", - "speaker": "Tutor", - "dialogue": "I'm gon typ." - }, - { - "start": "16:29.60", - "stop": "16:30.28", - "speaker": "Tutor", - "dialogue": "What you just said" - }, - { - "start": "16:30.96", - "stop": "16:42.56", - "speaker": "Tutor", - "dialogue": "So from A to B. while the time is increasing, the distance is also increasing." - }, - { - "start": "16:44.64", - "stop": "16:46.04", - "speaker": "Tutor", - "dialogue": "Did I capture what you said?" - }, - { - "start": "16:48.44", - "stop": "16:55.28", - "speaker": "Tutor", - "dialogue": "Awesome K, Do the same thing from B to C. What is going on there?" - }, - { - "start": "16:55.52", - "stop": "16:57.72", - "speaker": "Tutor", - "dialogue": "and use those purple words to explain." - }, - { - "start": "17:15.96", - "stop": "17:22.24", - "speaker": "Student", - "dialogue": "As Ttimd passes, the distance stays the same." - }, - { - "start": "17:23.04", - "stop": "17:24.16", - "speaker": "Tutor", - "dialogue": "Oh, very cool." - }, - { - "start": "17:24.20", - "stop": "17:25.32", - "speaker": "Tutor", - "dialogue": "Okay, I'm gonna type that one." - }, - { - "start": "17:25.40", - "stop": "17:29.44", - "speaker": "Tutor", - "dialogue": "Now say it again for." - }, - { - "start": "17:29.60", - "stop": "17:34.72", - "speaker": "Student", - "dialogue": "Me, as thirty minutes passes, the distance, stay the same." - }, - { - "start": "17:45.40", - "stop": "17:57.16", - "speaker": "Tutor", - "dialogue": "And I challenge you to think about time is time increasing, decreasing or staying the same you said as it passes." - }, - { - "start": "17:57.68", - "stop": "18:03.24", - "speaker": "Tutor", - "dialogue": "And I'm not sure if that means that time is also increasing, decreasing or staying the same." - }, - { - "start": "18:06.96", - "stop": "18:08.76", - "speaker": "Student", - "dialogue": "Time is increasing, Ok." - }, - { - "start": "18:09.60", - "stop": "18:15.52", - "speaker": "Tutor", - "dialogue": "We're going to use those purple power words on purpose to help our brain make sense of how this graph works." - }, - { - "start": "18:16.24", - "stop": "18:27.36", - "speaker": "Tutor", - "dialogue": "So from B to C. as time increases, five thirty minutes." - }, - { - "start": "18:28.40", - "stop": "18:29.88", - "speaker": "Tutor", - "dialogue": "the distance stayed the same." - }, - { - "start": "18:33.28", - "stop": "18:37.16", - "speaker": "Tutor", - "dialogue": "Do both of Ose capture what you were thinking about with A and B and B and C?" - }, - { - "start": "18:39.56", - "stop": "18:40.60", - "speaker": "Tutor", - "dialogue": "Yes, cool." - }, - { - "start": "18:40.88", - "stop": "18:47.32", - "speaker": "Tutor", - "dialogue": "now, let's go back to your map and see if your map matches what you just said in words." - }, - { - "start": "19:09.72", - "stop": "19:10.84", - "speaker": "Tutor", - "dialogue": "What are you thinking about?" - }, - { - "start": "19:24.96", - "stop": "19:28.92", - "speaker": "Student", - "dialogue": "I think the distance is a. It's a bit small." - }, - { - "start": "19:29.72", - "stop": "19:32.36", - "speaker": "Tutor", - "dialogue": "Oh, why do you think it's a little bit small?" - }, - { - "start": "19:35.88", - "stop": "19:53.20", - "speaker": "Student", - "dialogue": "Mm, Well, because from to d it's bigger than a tob." - }, - { - "start": "19:54.40", - "stop": "20:03.04", - "speaker": "Tutor", - "dialogue": "Oh so on your map, A to B is smaller than C to D. but on the graph is that the case?" - }, - { - "start": "20:08.04", - "stop": "20:14.20", - "speaker": "Tutor", - "dialogue": "So you are you allowed to revise your thinking or change your mind in math?" - }, - { - "start": "20:19.80", - "stop": "20:19.96", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "20:21.04", - "stop": "20:35.84", - "speaker": "Tutor", - "dialogue": "You are actually just like with art, or whenever you're writing a paper, you can make a rough draft in math, and then you can do some more thinking and you can revise, or you can edit, or you can change your mind." - }, - { - "start": "20:36.96", - "stop": "20:48.16", - "speaker": "Tutor", - "dialogue": "So you did some rough draught thinking over here and you put some points on the map, And now it sounds like you want to revise some things or change some things." - }, - { - "start": "20:48.68", - "stop": "23:31.36", - "speaker": "Tutor", - "dialogue": "That's perfectly O. K. That's part of problem solving, so you can go ahead and change your map if you want to allright." - }, - { - "start": "23:32.88", - "stop": "23:37.52", - "speaker": "Tutor", - "dialogue": "I see that you're still doing some revisions, but I want you to stop for a minute to explain to me what you're thinking." - }, - { - "start": "23:37.68", - "stop": "23:51.24", - "speaker": "Tutor", - "dialogue": "Okay, Ok, All right, so I see that you have B in a new place now, and you have C in a new place, so let's check our words to see if it matches what you showed on the map now." - }, - { - "start": "23:52.72", - "stop": "24:01.96", - "speaker": "Tutor", - "dialogue": "So from A to B, you said the time is increasing and the distance is also increasing." - }, - { - "start": "24:02.84", - "stop": "24:05.68", - "speaker": "Tutor", - "dialogue": "Does this show distance and time increasing?" - }, - { - "start": "24:12.96", - "stop": "24:14.60", - "speaker": "Student", - "dialogue": "Exactly shows the distance." - }, - { - "start": "24:14.92", - "stop": "24:24.92", - "speaker": "Tutor", - "dialogue": "Ah, so we have to think about the time increasing as it's also happening, but this shows that the distance is increasing now." - }, - { - "start": "24:25.04", - "stop": "24:26.04", - "speaker": "Tutor", - "dialogue": "let's look at this one" - }, - { - "start": "24:31.04", - "stop": "24:40.00", - "speaker": "Tutor", - "dialogue": "you said from B to C as time increases by thirty minutes." - }, - { - "start": "24:40.44", - "stop": "24:41.96", - "speaker": "Tutor", - "dialogue": "the distance stayed the same." - }, - { - "start": "24:44.08", - "stop": "24:50.48", - "speaker": "Tutor", - "dialogue": "Does your mapying the same?" - }, - { - "start": "24:53.32", - "stop": "25:28.28", - "speaker": "Tutor", - "dialogue": "No, How come it doesn't do want to keep it like it is, or do you want to make any revisions?" - }, - { - "start": "25:48.24", - "stop": "26:00.68", - "speaker": "Student", - "dialogue": "Because, the because, the cros isce." - }, - { - "start": "26:02.64", - "stop": "26:02.68", - "speaker": "Tutor", - "dialogue": "Of." - }, - { - "start": "26:02.96", - "stop": "26:12.60", - "speaker": "Student", - "dialogue": "How they travel by the where to." - }, - { - "start": "26:12.76", - "stop": "26:29.24", - "speaker": "Tutor", - "dialogue": "Go, Y, So the map has actually shown the path that they took, and the graph is telling us how much distance or how much time is changing along the journey?" - }, - { - "start": "26:31.08", - "stop": "26:35.72", - "speaker": "Tutor", - "dialogue": "So from B to C, you said the distance stayed the same." - }, - { - "start": "26:36.80", - "stop": "26:41.68", - "speaker": "Tutor", - "dialogue": "How could you show the distance staying the same on the map from B to?" - }, - { - "start": "26:41.84", - "stop": "26:50.12", - "speaker": "Student", - "dialogue": "C, proly, they took eiry, stop." - }, - { - "start": "26:50.72", - "stop": "26:50.96", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "26:55.20", - "stop": "26:57.48", - "speaker": "Tutor", - "dialogue": "So if they stopped, how are you going to show that?" - }, - { - "start": "27:16.52", - "stop": "27:17.92", - "speaker": "Tutor", - "dialogue": "Ah, that's a cool way of showing it." - }, - { - "start": "27:18.24", - "stop": "27:20.36", - "speaker": "Tutor", - "dialogue": "So B and C are at the Sa." - }, - { - "start": "27:20.64", - "stop": "27:23.84", - "speaker": "Tutor", - "dialogue": "same point, Because the car stopped." - }, - { - "start": "27:29.88", - "stop": "27:37.24", - "speaker": "Tutor", - "dialogue": "We know how long they stopped for yeah or no." - }, - { - "start": "27:41.56", - "stop": "27:42.64", - "speaker": "Student", - "dialogue": "For twenty minutes." - }, - { - "start": "27:43.08", - "stop": "27:44.80", - "speaker": "Tutor", - "dialogue": "Yeah, they were stopped for thirty minutes." - }, - { - "start": "27:45.68", - "stop": "27:52.16", - "speaker": "Tutor", - "dialogue": "Okay now from C to D. you can type." - }, - { - "start": "27:53.92", - "stop": "27:55.52", - "speaker": "Tutor", - "dialogue": "I'll put a text box up here for you." - }, - { - "start": "27:56.56", - "stop": "28:05.96", - "speaker": "Tutor", - "dialogue": "what's going on from C to D, and remember to use those purple power thinking words as you describe" - }, - { - "start": "28:06.04", - "stop": "29:31.76", - "speaker": "Tutor", - "dialogue": "what's happening from C to D. Nice iright." - }, - { - "start": "29:31.84", - "stop": "29:32.88", - "speaker": "Tutor", - "dialogue": "I'll resize it for you." - }, - { - "start": "29:34.24", - "stop": "29:36.64", - "speaker": "Tutor", - "dialogue": "Tell, read it out a loud to me in your own words." - }, - { - "start": "29:40.08", - "stop": "29:44.76", - "speaker": "Student", - "dialogue": "As the time off point seat increases, the discipline starts to increase." - }, - { - "start": "29:51.84", - "stop": "29:56.72", - "speaker": "Tutor", - "dialogue": "Okay, so the time is the time increasing at point C?" - }, - { - "start": "29:58.16", - "stop": "30:03.52", - "speaker": "Tutor", - "dialogue": "or is the time increasing from C to D, C to D?" - }, - { - "start": "30:04.12", - "stop": "30:05.64", - "speaker": "Tutor", - "dialogue": "Okay, Do you want to?" - }, - { - "start": "30:05.84", - "stop": "30:06.48", - "speaker": "Tutor", - "dialogue": "Yeah, There you go." - }, - { - "start": "30:06.68", - "stop": "30:08.32", - "speaker": "Tutor", - "dialogue": "click on it and add more detail." - }, - { - "start": "30:40.20", - "stop": "30:41.40", - "speaker": "Tutor", - "dialogue": "When you're finished typing." - }, - { - "start": "30:41.56", - "stop": "30:46.40", - "speaker": "Tutor", - "dialogue": "click off of it and then I'll be able to see what you typed There Re cool." - }, - { - "start": "30:47.00", - "stop": "30:59.08", - "speaker": "Tutor", - "dialogue": "Okay, So as the time of point C to D increases, the distance starts to increase, so the distance is also increasing from C to D. Do you know" - }, - { - "start": "31:00.04", - "stop": "31:11.08", - "speaker": "Tutor", - "dialogue": "Like over here, you said that it increased by thirty minutes from B to C. Do you know how much time and how much distance has increased from C to?" - }, - { - "start": "31:11.24", - "stop": "31:35.92", - "speaker": "Student", - "dialogue": "D, close to an hour." - }, - { - "start": "31:36.96", - "stop": "31:41.08", - "speaker": "Tutor", - "dialogue": "Nice, so add more details to your text box." - }, - { - "start": "31:41.84", - "stop": "31:44.04", - "speaker": "Tutor", - "dialogue": "How much is distance increasing?" - }, - { - "start": "31:44.60", - "stop": "31:46.68", - "speaker": "Tutor", - "dialogue": "How much is time increasing?" - }, - { - "start": "31:47.16", - "stop": "32:44.92", - "speaker": "Tutor", - "dialogue": "And it's okay to estimate it, and then when you' finished typing, click off of it again." - }, - { - "start": "33:16.84", - "stop": "33:16.88", - "speaker": "Student", - "dialogue": "So?" - }, - { - "start": "33:17.08", - "stop": "33:22.72", - "speaker": "Tutor", - "dialogue": "You're adding in how much has distance increased and how much has time increased." - }, - { - "start": "33:23.28", - "stop": "33:25.44", - "speaker": "Tutor", - "dialogue": "When you're ready, click off of it and read it to." - }, - { - "start": "34:03.32", - "stop": "34:05.00", - "speaker": "Tutor", - "dialogue": "Are you still thinking or are you ready?" - }, - { - "start": "34:13.88", - "stop": "34:15.12", - "speaker": "Tutor", - "dialogue": "You're still writingkay." - }, - { - "start": "34:56.36", - "stop": "34:56.60", - "speaker": "Tutor", - "dialogue": "nice." - }, - { - "start": "34:56.68", - "stop": "34:58.20", - "speaker": "Tutor", - "dialogue": "When you're ready, you can read it outoud." - }, - { - "start": "35:01.72", - "stop": "35:13.40", - "speaker": "Student", - "dialogue": "As the time increases, each minute slash hours to point C to D increases, the distance starts to increase from fifty miles to one hundred miles." - }, - { - "start": "35:14.08", - "stop": "35:14.40", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "35:14.60", - "stop": "35:27.96", - "speaker": "Tutor", - "dialogue": "okay, so from C to D, the car has increased fifty miles, or I should say the distance has increased fifty miles" - }, - { - "start": "35:29.08", - "stop": "35:30.04", - "speaker": "Tutor", - "dialogue": "And the time." - }, - { - "start": "35:31.20", - "stop": "35:32.76", - "speaker": "Tutor", - "dialogue": "how much time has increased" - }, - { - "start": "35:37.56", - "stop": "35:40.28", - "speaker": "Tutor", - "dialogue": "With one hour about one hour." - }, - { - "start": "35:40.76", - "stop": "35:40.92", - "speaker": "Tutor", - "dialogue": "Ok." - }, - { - "start": "35:42.76", - "stop": "35:44.16", - "speaker": "Tutor", - "dialogue": "what about from D to E?" - }, - { - "start": "35:45.32", - "stop": "35:45.72", - "speaker": "Tutor", - "dialogue": "How come" - }, - { - "start": "35:45.80", - "stop": "35:47.04", - "speaker": "Tutor", - "dialogue": "it's a squiggly le?" - }, - { - "start": "36:11.52", - "stop": "36:14.64", - "speaker": "Student", - "dialogue": "Probably they have to make a lot of stops." - }, - { - "start": "36:15.72", - "stop": "36:17.48", - "speaker": "Tutor", - "dialogue": "Yeah, something different's going on there." - }, - { - "start": "36:17.64", - "stop": "36:17.80", - "speaker": "Tutor", - "dialogue": "Huh?" - }, - { - "start": "36:18.96", - "stop": "36:21.88", - "speaker": "Tutor", - "dialogue": "What is happening with distance from D to E?" - }, - { - "start": "36:23.04", - "stop": "36:26.32", - "speaker": "Tutor", - "dialogue": "Is it increasing, decreasing or staying the same?" - }, - { - "start": "36:36.80", - "stop": "36:37.76", - "speaker": "Student", - "dialogue": "Is increasing?" - }, - { - "start": "36:44.92", - "stop": "36:48.56", - "speaker": "Tutor", - "dialogue": "Is it increasing the entire time from D to?" - }, - { - "start": "36:48.68", - "stop": "36:58.28", - "speaker": "Student", - "dialogue": "E. no, it's also decreasing." - }, - { - "start": "37:01.84", - "stop": "37:09.24", - "speaker": "Tutor", - "dialogue": "Yeah, there are points where the distance increases and then it stays the same or it increases." - }, - { - "start": "37:09.40", - "stop": "37:10.56", - "speaker": "Tutor", - "dialogue": "Then it stys the same." - }, - { - "start": "37:11.40", - "stop": "37:16.24", - "speaker": "Tutor", - "dialogue": "And so earlier you said that means they probably had to make a lot of stops." - }, - { - "start": "37:17.68", - "stop": "37:19.92", - "speaker": "Tutor", - "dialogue": "Which, Yeah, that's exactly what's happening there." - }, - { - "start": "37:20.28", - "stop": "37:23.24", - "speaker": "Tutor", - "dialogue": "The distance is increasing and then staying the same." - }, - { - "start": "37:23.64", - "stop": "37:28.20", - "speaker": "Tutor", - "dialogue": "So they're going and then they're slowing down and then they're going and then they're slowing down." - }, - { - "start": "37:32.20", - "stop": "37:33.24", - "speaker": "Tutor", - "dialogue": "What about this?" - }, - { - "start": "37:36.00", - "stop": "37:46.84", - "speaker": "Tutor", - "dialogue": "How come from A to B, A cury, but a straight line." - }, - { - "start": "37:59.68", - "stop": "38:00.44", - "speaker": "Tutor", - "dialogue": "Any ideas?" - }, - { - "start": "38:03.32", - "stop": "38:31.48", - "speaker": "Student", - "dialogue": "Well, because the distance the time, because the road shows on the grass, it shows different ads, not showing the exact road, but this is showing the map." - }, - { - "start": "38:33.76", - "stop": "38:39.28", - "speaker": "Tutor", - "dialogue": "So the map is showing the exact road, and what is the graph keeping track of then?" - }, - { - "start": "38:53.44", - "stop": "38:54.72", - "speaker": "Student", - "dialogue": "The distance." - }, - { - "start": "38:57.68", - "stop": "38:58.56", - "speaker": "Tutor", - "dialogue": "Just the distance." - }, - { - "start": "39:07.52", - "stop": "39:09.08", - "speaker": "Student", - "dialogue": "The distance each hour." - }, - { - "start": "39:09.96", - "stop": "39:14.04", - "speaker": "Tutor", - "dialogue": "Exactly yes, and that's when you started earlier to think about miles per hour." - }, - { - "start": "39:15.28", - "stop": "39:23.92", - "speaker": "Tutor", - "dialogue": "So this blue line on the graph is keeping track of the relationship of distance and time." - }, - { - "start": "39:25.00", - "stop": "39:33.04", - "speaker": "Tutor", - "dialogue": "or we could also say the relationship of miles per hour, And that's what graphs always do." - }, - { - "start": "39:33.96", - "stop": "39:40.92", - "speaker": "Tutor", - "dialogue": "Graphs will always keep track of the relationship between these things that are changing." - }, - { - "start": "39:42.56", - "stop": "39:49.36", - "speaker": "Tutor", - "dialogue": "So on one axis there is one thing that is changing on another axis." - }, - { - "start": "39:50.36", - "stop": "39:59.60", - "speaker": "Tutor", - "dialogue": "another thing is changing, and in the middle is the picture of how these two things are changing together." - }, - { - "start": "40:00.52", - "stop": "40:05.08", - "speaker": "Tutor", - "dialogue": "and here it happens to be the miles per hour that the car is going." - }, - { - "start": "40:06.84", - "stop": "40:08.28", - "speaker": "Tutor", - "dialogue": "Whenever you look at a graph." - }, - { - "start": "40:08.92", - "stop": "40:12.96", - "speaker": "Tutor", - "dialogue": "Challenge yourself to always think of these purple power words." - }, - { - "start": "40:13.56", - "stop": "40:14.36", - "speaker": "Tutor", - "dialogue": "What's changing?" - }, - { - "start": "40:15.32", - "stop": "40:18.36", - "speaker": "Tutor", - "dialogue": "is it increasing, decreasing or staying the same?" - }, - { - "start": "40:19.16", - "stop": "40:20.52", - "speaker": "Tutor", - "dialogue": "What's changing over here?" - }, - { - "start": "40:21.28", - "stop": "40:24.28", - "speaker": "Tutor", - "dialogue": "Is it increasing, decreasing or staying the same?" - }, - { - "start": "40:24.80", - "stop": "40:30.36", - "speaker": "Tutor", - "dialogue": "And what's going on inside the graph is the relationship between these two things?" - }, - { - "start": "40:33.72", - "stop": "40:51.16", - "speaker": "Tutor", - "dialogue": "O. So now you know that you are helping us out by being a Student and experiencing this computer platform and learning about math this way, So I would love to hear a little bit about your experience." - }, - { - "start": "40:52.48", - "stop": "40:57.24", - "speaker": "Tutor", - "dialogue": "What is something you feel like you learned or are thinking differently about now?" - }, - { - "start": "41:01.00", - "stop": "41:29.48", - "speaker": "Student", - "dialogue": "Well, I'm thinking differently about how I set up a map and to look to track, I, thinking." - }, - { - "start": "41:33.28", - "stop": "41:34.32", - "speaker": "Tutor", - "dialogue": "What was the question?" - }, - { - "start": "41:34.52", - "stop": "41:34.80", - "speaker": "Student", - "dialogue": "Again." - }, - { - "start": "41:35.44", - "stop": "41:40.08", - "speaker": "Tutor", - "dialogue": "What is something you feel like you learned or are thinking differently about?" - }, - { - "start": "41:43.40", - "stop": "41:54.64", - "speaker": "Student", - "dialogue": "Am thinking differently of how the the distance and the mouse are up, and map itself." - }, - { - "start": "41:55.80", - "stop": "42:01.04", - "speaker": "Tutor", - "dialogue": "Ok, so the map and the graph are talking about the same situation?" - }, - { - "start": "42:02.04", - "stop": "42:07.92", - "speaker": "Tutor", - "dialogue": "One is keeping track of one thing, the other is keeping track of another thing." - }, - { - "start": "42:10.76", - "stop": "42:16.08", - "speaker": "Tutor", - "dialogue": "What was helpful for you or what are some things we should do differently to make it better?" - }, - { - "start": "42:20.36", - "stop": "42:34.96", - "speaker": "Student", - "dialogue": "What was helpful for me was the the hours and the distance on the graph along with the notesk." - }, - { - "start": "42:35.24", - "stop": "42:46.36", - "speaker": "Tutor", - "dialogue": "So it was helpful to make sense of what's going on in the graph by paying attention to what are the things that are changing and what are the units we're using" - }, - { - "start": "42:46.56", - "stop": "42:56.80", - "speaker": "Tutor", - "dialogue": "to keep track of those things that are changing, Cool, a picture wool, a graph is always a picture that describes how things are changing." - }, - { - "start": "42:59.44", - "stop": "43:01.20", - "speaker": "Tutor", - "dialogue": "Thank you for helping us out to-night" - }, - { - "start": "43:02.28", - "stop": "43:05.00", - "speaker": "Tutor", - "dialogue": "I hope that you have a good evening and thanks for logging." - }, - { - "start": "43:05.08", - "stop": "43:10.16", - "speaker": "Student", - "dialogue": "On ten eths now." - }, - { - "start": "43:10.64", - "stop": "43:13.44", - "speaker": "Tutor", - "dialogue": "Good-by you can leave whenever you, you, too." - }, - { - "start": "43:13.60", - "stop": "43:15.12", - "speaker": "Tutor", - "dialogue": "you can leave whenever you're ready." - } -] \ No newline at end of file diff --git a/data/amber/x1035.json b/data/amber/x1035.json deleted file mode 100644 index 750741a..0000000 --- a/data/amber/x1035.json +++ /dev/null @@ -1,2438 +0,0 @@ -[ - { - "start": "00:01.12", - "stop": "00:09.88", - "speaker": "Tutor", - "dialogue": "Okay, so first we're if your chat box is open, you can close it so that your screen is bigger and you have more um space to work." - }, - { - "start": "00:09.96", - "stop": "00:14.92", - "speaker": "Tutor", - "dialogue": "Since we'll be talking back and forth, then on the left hand side of your screen" - }, - { - "start": "00:15.20", - "stop": "00:19.56", - "speaker": "Tutor", - "dialogue": "there are some tools we're going to go through how to use those and what they do." - }, - { - "start": "00:20.40", - "stop": "00:24.40", - "speaker": "Tutor", - "dialogue": "And Um, if you have any questions, then you can feel free to ask" - }, - { - "start": "00:25.28", - "stop": "00:27.12", - "speaker": "Tutor", - "dialogue": "The third button Down is a pencil." - }, - { - "start": "00:27.76", - "stop": "00:36.76", - "speaker": "Tutor", - "dialogue": "When you click on the pencil up above, there is a size and a color box that opens up that you can change the color and size if you would like." - }, - { - "start": "00:37.64", - "stop": "00:42.60", - "speaker": "Tutor", - "dialogue": "You can also click on the t if you want to insert text instead of drawing." - }, - { - "start": "00:43.68", - "stop": "00:46.84", - "speaker": "Tutor", - "dialogue": "And then there is a unique way to erase." - }, - { - "start": "00:47.32", - "stop": "01:09.12", - "speaker": "Tutor", - "dialogue": "So what we're going to do now is you practice drawing or typing something, and then we'll go through how to erase what you drew perfect." - }, - { - "start": "01:10.96", - "stop": "01:12.00", - "speaker": "Tutor", - "dialogue": "Oh, you're right in something." - }, - { - "start": "01:12.04", - "stop": "01:16.96", - "speaker": "Tutor", - "dialogue": "I shouldn't let you H to see the c. ah draw perfect." - }, - { - "start": "01:17.36", - "stop": "01:31.36", - "speaker": "Tutor", - "dialogue": "Okay, So if you hit the trash can button, that erase has the entire screen and you don't want to do that, Because then we can't get your work back, but click on something that you want to erase, and the way you do that is use the top arrow select tool." - }, - { - "start": "01:32.52", - "stop": "01:38.96", - "speaker": "Tutor", - "dialogue": "That way you can resize stuff once it's selected, or you can move it around when it's selected." - }, - { - "start": "01:39.88", - "stop": "01:42.24", - "speaker": "Tutor", - "dialogue": "There is an arrow at the bottom with an x in it." - }, - { - "start": "01:42.88", - "stop": "01:46.88", - "speaker": "Tutor", - "dialogue": "It will erase whatever you have selected and leave everything else still there." - }, - { - "start": "01:48.24", - "stop": "01:48.64", - "speaker": "Tutor", - "dialogue": "Perfect." - }, - { - "start": "01:50.52", - "stop": "01:51.76", - "speaker": "Tutor", - "dialogue": "Any questions about the tools?" - }, - { - "start": "01:54.16", - "stop": "01:56.68", - "speaker": "Tutor", - "dialogue": "Ok, Then the next thing I'll explain is what it'll be like" - }, - { - "start": "01:56.76", - "stop": "02:02.00", - "speaker": "Tutor", - "dialogue": "when we interact together, We'll be talking back and forth because I can't see your face" - }, - { - "start": "02:02.48", - "stop": "02:06.36", - "speaker": "Tutor", - "dialogue": "if I ask you a question, And you want some time to think about it?" - }, - { - "start": "02:07.00", - "stop": "02:11.60", - "speaker": "Tutor", - "dialogue": "Just verbalize that so that I don't interrupt your thinking by continuing to talk." - }, - { - "start": "02:12.08", - "stop": "02:13.84", - "speaker": "Tutor", - "dialogue": "Ok, Oka like." - }, - { - "start": "02:14.08", - "stop": "02:15.00", - "speaker": "Tutor", - "dialogue": "Oh, I'm not sure." - }, - { - "start": "02:15.48", - "stop": "02:18.84", - "speaker": "Tutor", - "dialogue": "let me think about that and then I'll be quiet and give you some think time." - }, - { - "start": "02:20.80", - "stop": "02:32.44", - "speaker": "Tutor", - "dialogue": "The other thing is, Um, the more you tell me about how you're thinking, the better that helps me understand how you're making sense of stuff, and I'll ask you lots of questions." - }, - { - "start": "02:32.72", - "stop": "02:35.28", - "speaker": "Tutor", - "dialogue": "But that doesn't necessarily mean you got something wrong." - }, - { - "start": "02:35.44", - "stop": "02:37.68", - "speaker": "Tutor", - "dialogue": "It just means I want to know more about how you're thinking." - }, - { - "start": "02:39.16", - "stop": "02:42.20", - "speaker": "Tutor", - "dialogue": "All right, cool, cool, All right." - }, - { - "start": "02:42.36", - "stop": "02:43.52", - "speaker": "Tutor", - "dialogue": "I'm going to change a screen." - }, - { - "start": "02:45.16", - "stop": "02:47.20", - "speaker": "Tutor", - "dialogue": "Do you see something different on the screen now?" - }, - { - "start": "02:48.68", - "stop": "02:49.20", - "speaker": "Student", - "dialogue": "Ah, yes." - }, - { - "start": "02:50.04", - "stop": "02:56.16", - "speaker": "Tutor", - "dialogue": "Qu, so take a minute to read it and look it over, and then describe to me what you think is happening in this situation." - }, - { - "start": "03:03.68", - "stop": "03:08.40", - "speaker": "Student", - "dialogue": "Um, it looks like a car took a journey from one place to another." - }, - { - "start": "03:09.28", - "stop": "03:11.92", - "speaker": "Tutor", - "dialogue": "Where do you think the car started and where did it end?" - }, - { - "start": "03:14.44", - "stop": "03:21.40", - "speaker": "Student", - "dialogue": "I believe it should have started in Providence, R. I to Newwark, New Jersey." - }, - { - "start": "03:21.88", - "stop": "03:23.36", - "speaker": "Tutor", - "dialogue": "And do you see those places on the map?" - }, - { - "start": "03:24.56", - "stop": "03:24.76", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "03:25.20", - "stop": "03:30.56", - "speaker": "Tutor", - "dialogue": "Yeah, what are some things that you think we could measure in this situation?" - }, - { - "start": "03:34.32", - "stop": "03:36.32", - "speaker": "Student", - "dialogue": "The amount of miles traveled." - }, - { - "start": "03:37.88", - "stop": "03:41.88", - "speaker": "Tutor", - "dialogue": "And what would we be trying to keep track of if we were measuring the amount of miles?" - }, - { - "start": "03:43.68", - "stop": "03:44.60", - "speaker": "Student", - "dialogue": "The amount of gas?" - }, - { - "start": "03:45.96", - "stop": "03:48.88", - "speaker": "Tutor", - "dialogue": "So we could be thinking about the miles traveled or gas." - }, - { - "start": "03:49.84", - "stop": "03:51.40", - "speaker": "Tutor", - "dialogue": "What other things could we measure?" - }, - { - "start": "04:13.44", - "stop": "04:14.84", - "speaker": "Student", - "dialogue": "I'm not quite sure." - }, - { - "start": "04:15.40", - "stop": "04:19.12", - "speaker": "Tutor", - "dialogue": "Beautiful, and that's the sort of things that are important for you to communicate." - }, - { - "start": "04:19.68", - "stop": "04:22.80", - "speaker": "Tutor", - "dialogue": "I'm not sure yet or that's all I can think of right now, or I don't know." - }, - { - "start": "04:23.52", - "stop": "04:25.72", - "speaker": "Tutor", - "dialogue": "Totally cool to say all of those things Okay." - }, - { - "start": "04:27.60", - "stop": "04:35.44", - "speaker": "Tutor", - "dialogue": "All right, so I'm going to uncover something now and you tell me how you think it is similar or different to what you were thinking about." - }, - { - "start": "04:38.44", - "stop": "04:38.56", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "04:41.56", - "stop": "04:45.16", - "speaker": "Student", - "dialogue": "I, I guess I guess" - }, - { - "start": "04:45.28", - "stop": "04:51.72", - "speaker": "Student", - "dialogue": "it's describing like how the the distance traveleed" - }, - { - "start": "04:52.08", - "stop": "04:56.64", - "speaker": "Student", - "dialogue": "corlate correlates to the amount of hours passed, so I guess Um." - }, - { - "start": "04:58.08", - "stop": "04:58.48", - "speaker": "Student", - "dialogue": "I guess" - }, - { - "start": "04:58.72", - "stop": "05:08.28", - "speaker": "Student", - "dialogue": "it's I guess hours could also be measured to measure maybe the speed of the car journey." - }, - { - "start": "05:09.80", - "stop": "05:11.52", - "speaker": "Tutor", - "dialogue": "Interesting, do you see speed on?" - }, - { - "start": "05:11.68", - "stop": "05:27.40", - "speaker": "Student", - "dialogue": "This, uh, no, but um, I do know that speed is N is measured in miles per hour, So you, you can kind of deduce the speed from the graph." - }, - { - "start": "05:28.36", - "stop": "05:41.80", - "speaker": "Tutor", - "dialogue": "Ah, so you're saying that you don't see speed represented on the graph anywhere right now as it is, But you think there's enough information to figure out the speed because you know the miles and you know the hours?" - }, - { - "start": "05:45.16", - "stop": "05:51.12", - "speaker": "Student", - "dialogue": "Yes, but it's not really a linear graph, I think." - }, - { - "start": "05:54.08", - "stop": "05:55.56", - "speaker": "Tutor", - "dialogue": "So what is this graph showing?" - }, - { - "start": "05:55.60", - "stop": "05:57.04", - "speaker": "Tutor", - "dialogue": "Then what does that blue line mean?" - }, - { - "start": "05:57.28", - "stop": "05:58.40", - "speaker": "Tutor", - "dialogue": "What's it keeping track?" - }, - { - "start": "05:58.48", - "stop": "06:00.84", - "speaker": "Student", - "dialogue": "Of it's keeping track." - }, - { - "start": "06:01.00", - "stop": "06:02.40", - "speaker": "Tutor", - "dialogue": "Of how?" - }, - { - "start": "06:04.92", - "stop": "06:14.84", - "speaker": "Student", - "dialogue": "It's keep kind of keeping track of how many miles the car has gone, Um, based on the different hourly intervals." - }, - { - "start": "06:16.12", - "stop": "06:16.84", - "speaker": "Tutor", - "dialogue": "K, So" - }, - { - "start": "06:17.12", - "stop": "06:19.00", - "speaker": "Tutor", - "dialogue": "where do you see the graph?" - }, - { - "start": "06:19.16", - "stop": "06:20.40", - "speaker": "Tutor", - "dialogue": "keeping track of distance?" - }, - { - "start": "06:22.60", - "stop": "06:24.48", - "speaker": "Student", - "dialogue": "On the waxies." - }, - { - "start": "06:25.00", - "stop": "06:26.04", - "speaker": "Tutor", - "dialogue": "Show me with your arrow." - }, - { - "start": "06:26.12", - "stop": "06:27.84", - "speaker": "Tutor", - "dialogue": "I can see your arrow when you move it, too." - }, - { - "start": "06:29.32", - "stop": "06:30.48", - "speaker": "Student", - "dialogue": "Wch, here, okay?" - }, - { - "start": "06:31.04", - "stop": "06:38.88", - "speaker": "Tutor", - "dialogue": "So this is showing how the distance is changing and we can keep track of the distance in miles?" - }, - { - "start": "06:40.60", - "stop": "06:44.56", - "speaker": "Tutor", - "dialogue": "Yes, all right, Where do you see time or hours?" - }, - { - "start": "06:46.04", - "stop": "06:47.36", - "speaker": "Student", - "dialogue": "On the X axis." - }, - { - "start": "06:49.04", - "stop": "06:56.80", - "speaker": "Tutor", - "dialogue": "Can you use the graph and the map to describe what's happening during each stage of the journey?" - }, - { - "start": "07:00.04", - "stop": "07:34.72", - "speaker": "Student", - "dialogue": "So, um, the stages can be described as in hours, I suppose, and so f, um, after one hour, Um it, it seems like the car has traveled fifty miles, so I, so um, if you see the car ourning like on the map, you can the news that Um, the car has travele fifty miles on this um route, And so itd probably be somewhere here." - }, - { - "start": "07:35.72", - "stop": "07:36.60", - "speaker": "Tutor", - "dialogue": "So keep doing." - }, - { - "start": "07:36.72", - "stop": "07:42.32", - "speaker": "Tutor", - "dialogue": "I're talking when you're pointed like that, That's awesome and you can label your points as well if you want while you're talking." - }, - { - "start": "07:42.96", - "stop": "08:27.96", - "speaker": "Student", - "dialogue": "Okay, Um, and in the second hour it seems like the car has traveled approximately eighty miles, so I, I suppose the car has traveled to about this point, and in the third hour it seems like the car has traveled to a h. A a hundred twenty miles, so I would assume this point, Andu, and then on the fourth hour I it, it traveled a hundred fifty miles, so I would assume that it's at like near the end of the of the route." - }, - { - "start": "08:30.72", - "stop": "08:34.12", - "speaker": "Tutor", - "dialogue": "How come you said it's not linear?" - }, - { - "start": "08:34.76", - "stop": "08:37.28", - "speaker": "Tutor", - "dialogue": "Are you referring to that blue line is not linear." - }, - { - "start": "08:38.24", - "stop": "08:38.92", - "speaker": "Student", - "dialogue": "A yes." - }, - { - "start": "08:39.32", - "stop": "08:43.28", - "speaker": "Tutor", - "dialogue": "How come it's not what is what's going on with that blue line then?" - }, - { - "start": "08:43.92", - "stop": "08:48.56", - "speaker": "Student", - "dialogue": "It seems to be changing in a nonconstant way." - }, - { - "start": "08:48.76", - "stop": "08:51.16", - "speaker": "Student", - "dialogue": "I suppose that's how you would say it's" - }, - { - "start": "08:51.52", - "stop": "09:12.12", - "speaker": "Student", - "dialogue": "It's just not straight and I don't believe you can really like determine a constant speed because like, for instance, um, in, like, In one hour, it just goes the agonally, but then in like one and a half hours, it just doesn't really change at all." - }, - { - "start": "09:12.36", - "stop": "09:22.76", - "speaker": "Student", - "dialogue": "And then so I'm assuming that like the car is just stopping for maybe a break, and you can't really determine the constant rate of the car." - }, - { - "start": "09:26.00", - "stop": "09:31.32", - "speaker": "Tutor", - "dialogue": "But could we determine the constant rate of that the car is travelling from A to?" - }, - { - "start": "09:31.44", - "stop": "09:47.72", - "speaker": "Student", - "dialogue": "B, guess." - }, - { - "start": "09:47.76", - "stop": "09:56.44", - "speaker": "Tutor", - "dialogue": "It, Ok, cool thinking." - }, - { - "start": "09:57.00", - "stop": "09:58.68", - "speaker": "Tutor", - "dialogue": "Let's go back to what you were talking." - }, - { - "start": "09:58.88", - "stop": "10:06.76", - "speaker": "Tutor", - "dialogue": "You said some really cool things and then I'd like to see where those points would be on the map, so go ahead and label, where would point A be located?" - }, - { - "start": "10:07.16", - "stop": "10:09.56", - "speaker": "Tutor", - "dialogue": "Where would point B be located, And so." - }, - { - "start": "10:09.72", - "stop": "10:25.04", - "speaker": "Student", - "dialogue": "On okay, so um, since um, I think the car journey ended at like a hundred fifty miles and since in the first hour they, it went." - }, - { - "start": "10:25.72", - "stop": "10:28.96", - "speaker": "Student", - "dialogue": "Um, it went to fifty miles." - }, - { - "start": "10:29.24", - "stop": "10:33.80", - "speaker": "Student", - "dialogue": "I would kind of assume that it would be a third of the way there." - }, - { - "start": "10:34.76", - "stop": "10:49.16", - "speaker": "Student", - "dialogue": "so it would be approximately here for the first hour, and for the second hour, since it's like eighty eighty, it went eighty miles." - }, - { - "start": "10:49.32", - "stop": "10:56.52", - "speaker": "Student", - "dialogue": "I would also assume that it's now half way throughout the journey, so maybe here for the second point." - }, - { - "start": "10:56.92", - "stop": "10:59.52", - "speaker": "Tutor", - "dialogue": "Okay, is this point this first one that you labeled?" - }, - { - "start": "10:59.64", - "stop": "11:03.08", - "speaker": "Tutor", - "dialogue": "Is this point a point B, point?" - }, - { - "start": "11:03.20", - "stop": "11:20.00", - "speaker": "Student", - "dialogue": "C. Oh, this is point A. And so I suppose this would be point B. And in the third hour I think they traveled a hundred." - }, - { - "start": "11:20.40", - "stop": "11:27.64", - "speaker": "Student", - "dialogue": "Yeah, they traveled about a hundred twenty miles so it would be really close to ending." - }, - { - "start": "11:27.76", - "stop": "11:40.44", - "speaker": "Student", - "dialogue": "I suppose like, maybe here and then I. they ended the journey at four hours, so I suppose um that this wouldt." - }, - { - "start": "11:48.36", - "stop": "11:50.24", - "speaker": "Tutor", - "dialogue": "Where does this journey start?" - }, - { - "start": "11:53.48", - "stop": "12:02.44", - "speaker": "Student", - "dialogue": "Um, right, I, I was thinking that maybe I made a mistake because I should have started at the zero" - }, - { - "start": "12:03.04", - "stop": "12:03.84", - "speaker": "Student", - "dialogue": "Because it start." - }, - { - "start": "12:04.00", - "stop": "12:05.32", - "speaker": "Student", - "dialogue": "The graph starts from zero." - }, - { - "start": "12:05.64", - "stop": "12:10.12", - "speaker": "Student", - "dialogue": "So Um, I think the fu P should be here." - }, - { - "start": "12:10.32", - "stop": "12:12.96", - "speaker": "Tutor", - "dialogue": "Ah, so you want to change your mind and revise your work?" - }, - { - "start": "12:14.44", - "stop": "12:18.48", - "speaker": "Tutor", - "dialogue": "Yes, do you get to revise your thinking and revise your work in math?" - }, - { - "start": "12:19.68", - "stop": "12:21.28", - "speaker": "Student", - "dialogue": "Oh, I think so." - }, - { - "start": "12:21.84", - "stop": "12:25.68", - "speaker": "Tutor", - "dialogue": "Absolutely, and I don't even know if it can be described as a mistake" - }, - { - "start": "12:25.76", - "stop": "12:26.24", - "speaker": "Tutor", - "dialogue": "All the time." - }, - { - "start": "12:26.60", - "stop": "12:30.24", - "speaker": "Tutor", - "dialogue": "I think it's a. Ah, I tried this, and now I'm changing my mind." - }, - { - "start": "12:30.68", - "stop": "12:32.32", - "speaker": "Tutor", - "dialogue": "I actually think it might go here." - }, - { - "start": "12:32.92", - "stop": "12:36.80", - "speaker": "Tutor", - "dialogue": "We get to change our mind whenever we're revising our writing or whenever" - }, - { - "start": "12:36.84", - "stop": "12:38.80", - "speaker": "Tutor", - "dialogue": "we're creating something in art class." - }, - { - "start": "12:39.32", - "stop": "12:41.20", - "speaker": "Tutor", - "dialogue": "we get to change and revise all the time." - }, - { - "start": "12:41.60", - "stop": "12:42.84", - "speaker": "Tutor", - "dialogue": "You get to do that in math." - }, - { - "start": "12:43.08", - "stop": "12:49.76", - "speaker": "Tutor", - "dialogue": "Also, So you said, I think A is here at first, and then you're like Ah, Actually, I want to change my mind." - }, - { - "start": "12:49.88", - "stop": "12:52.76", - "speaker": "Tutor", - "dialogue": "I want to revise my work, so go ahead and revise it." - }, - { - "start": "12:52.88", - "stop": "12:53.56", - "speaker": "Tutor", - "dialogue": "That's beautiful." - }, - { - "start": "13:32.76", - "stop": "13:37.92", - "speaker": "Student", - "dialogue": "And so I'm thinking of making a new point, and that lost point would be." - }, - { - "start": "13:38.08", - "stop": "13:42.96", - "speaker": "Tutor", - "dialogue": "E, excellent job of saying you're thinking out loud." - }, - { - "start": "13:43.24", - "stop": "13:43.92", - "speaker": "Tutor", - "dialogue": "That's awesome." - }, - { - "start": "13:46.04", - "stop": "13:48.28", - "speaker": "Tutor", - "dialogue": "Okay, I'm writing a couple of words." - }, - { - "start": "13:48.36", - "stop": "13:49.12", - "speaker": "Tutor", - "dialogue": "Then I'm going to ask you." - }, - { - "start": "13:49.44", - "stop": "13:49.68", - "speaker": "Tutor", - "dialogue": "Oh, wait." - }, - { - "start": "13:49.76", - "stop": "13:50.52", - "speaker": "Tutor", - "dialogue": "you got E. Do you have?" - }, - { - "start": "13:50.64", - "stop": "13:58.32", - "speaker": "Student", - "dialogue": "F, um, No, the, I think it's like there's only five points because there are five." - }, - { - "start": "13:58.96", - "stop": "14:01.32", - "speaker": "Student", - "dialogue": "um, I think units on the X axes." - }, - { - "start": "14:03.24", - "stop": "14:05.56", - "speaker": "Tutor", - "dialogue": "So what do you think point F represents then?" - }, - { - "start": "14:07.08", - "stop": "14:09.56", - "speaker": "Student", - "dialogue": "Um, the end of the journey, Ok?" - }, - { - "start": "14:10.24", - "stop": "14:14.80", - "speaker": "Tutor", - "dialogue": "And from what we know about the map and the situation, where does the journey end?" - }, - { - "start": "14:16.76", - "stop": "14:17.44", - "speaker": "Student", - "dialogue": "At Ne." - }, - { - "start": "14:17.96", - "stop": "14:19.36", - "speaker": "Student", - "dialogue": "Newark, New Jersey." - }, - { - "start": "14:19.80", - "stop": "14:24.60", - "speaker": "Tutor", - "dialogue": "K, So how could you represent the ending of the journey in Newwark with?" - }, - { - "start": "14:24.76", - "stop": "14:36.00", - "speaker": "Student", - "dialogue": "A, how would I be able to represent the ending of a point?" - }, - { - "start": "14:37.04", - "stop": "14:39.64", - "speaker": "Tutor", - "dialogue": "Yeah, you said that the journey ends in Newark." - }, - { - "start": "14:40.68", - "stop": "14:52.64", - "speaker": "Tutor", - "dialogue": "Yes, and then you also said that the graph ends at point F. So where would point F B located on the map?" - }, - { - "start": "14:58.80", - "stop": "14:59.76", - "speaker": "Student", - "dialogue": "Oh, oh, we." - }, - { - "start": "14:59.96", - "stop": "15:04.36", - "speaker": "Student", - "dialogue": "I supposed to graph the letters on the graph." - }, - { - "start": "15:05.40", - "stop": "15:06.52", - "speaker": "Tutor", - "dialogue": "On the graph or the map?" - }, - { - "start": "15:07.72", - "stop": "15:08.40", - "speaker": "Student", - "dialogue": "On the graph." - }, - { - "start": "15:08.96", - "stop": "15:09.80", - "speaker": "Tutor", - "dialogue": "Nope, on the map." - }, - { - "start": "15:10.56", - "stop": "15:11.32", - "speaker": "Tutor", - "dialogue": "So there no." - }, - { - "start": "15:11.56", - "stop": "15:14.92", - "speaker": "Student", - "dialogue": "No, like you know Um, the letters that are on the graph." - }, - { - "start": "15:15.12", - "stop": "15:23.08", - "speaker": "Student", - "dialogue": "W. Was I supposed to mark Um, like specific points corresponding to the Um points on the graph?" - }, - { - "start": "15:23.40", - "stop": "15:24.68", - "speaker": "Tutor", - "dialogue": "Yes, good clarification." - }, - { - "start": "15:24.80", - "stop": "15:25.00", - "speaker": "Tutor", - "dialogue": "Oh" - }, - { - "start": "15:25.12", - "stop": "15:27.20", - "speaker": "Tutor", - "dialogue": "yes, where do you see these points?" - }, - { - "start": "15:28.04", - "stop": "15:29.72", - "speaker": "Tutor", - "dialogue": "Where do you think they would be on the map?" - }, - { - "start": "15:30.72", - "stop": "15:32.36", - "speaker": "Student", - "dialogue": "Oh, um, I didn't see them." - }, - { - "start": "15:32.40", - "stop": "15:33.72", - "speaker": "Student", - "dialogue": "Can I revise my answer?" - }, - { - "start": "15:33.96", - "stop": "15:34.16", - "speaker": "Student", - "dialogue": "Oh." - }, - { - "start": "15:34.28", - "stop": "15:36.44", - "speaker": "Tutor", - "dialogue": "Yes, beautiful way of describing that, too." - }, - { - "start": "15:36.52", - "stop": "15:37.96", - "speaker": "Tutor", - "dialogue": "You're going to revise your work." - }, - { - "start": "15:38.16", - "stop": "15:51.44", - "speaker": "Tutor", - "dialogue": "Go for it three." - }, - { - "start": "16:56.88", - "stop": "17:26.88", - "speaker": "Student", - "dialogue": "Eight and I'm do'e revising my work." - }, - { - "start": "17:27.36", - "stop": "17:28.32", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "17:28.88", - "stop": "17:38.48", - "speaker": "Tutor", - "dialogue": "So now using these purple words and I'm going to underline these things that we're keeping track of you." - }, - { - "start": "17:39.28", - "stop": "17:56.32", - "speaker": "Tutor", - "dialogue": "You've been thinking about distance in units of miles and time in units of hours, and then you've been thinking about different sections of the graph and you've labeled them over here on the map using these purple words." - }, - { - "start": "17:57.80", - "stop": "18:02.32", - "speaker": "Tutor", - "dialogue": "Explain to me why you put the point B where you did." - }, - { - "start": "18:07.20", - "stop": "18:14.64", - "speaker": "Student", - "dialogue": "I put the point B or where it is, because Um, the distance from a point" - }, - { - "start": "18:14.76", - "stop": "18:23.00", - "speaker": "Student", - "dialogue": "A after one hour is increased to about Fi, fifty miles and increasing." - }, - { - "start": "18:23.16", - "stop": "18:28.76", - "speaker": "Student", - "dialogue": "so I. I put point B where it is because Um, it's" - }, - { - "start": "18:28.96", - "stop": "18:38.24", - "speaker": "Student", - "dialogue": "It should be further along the journey than point A, so it should be Um, kind of uh, nearer to the final destination." - }, - { - "start": "18:38.64", - "stop": "18:47.84", - "speaker": "Student", - "dialogue": "and since the whole trip I is about one hundred fifty miles, I put it a one-third of the way on to the final point." - }, - { - "start": "18:48.36", - "stop": "18:52.40", - "speaker": "Tutor", - "dialogue": "Akright, So you've been paying attention to distance and how distance is increasing?" - }, - { - "start": "18:53.12", - "stop": "18:53.60", - "speaker": "Tutor", - "dialogue": "Very cool." - }, - { - "start": "18:54.36", - "stop": "18:58.28", - "speaker": "Tutor", - "dialogue": "How what's going on with time from A to?" - }, - { - "start": "18:58.40", - "stop": "19:05.16", - "speaker": "Student", - "dialogue": "B, it's It's increased by one houry." - }, - { - "start": "19:06.72", - "stop": "19:13.40", - "speaker": "Tutor", - "dialogue": "So I can make sure I keep track of your thinking and time is increasing by one hour." - }, - { - "start": "19:15.60", - "stop": "19:18.40", - "speaker": "Tutor", - "dialogue": "Okay, did I capture what you were thinking from A to?" - }, - { - "start": "19:18.48", - "stop": "19:20.04", - "speaker": "Student", - "dialogue": "B, yes." - }, - { - "start": "19:24.88", - "stop": "19:27.48", - "speaker": "Tutor", - "dialogue": "You earlier said something about constant." - }, - { - "start": "19:28.28", - "stop": "19:30.80", - "speaker": "Tutor", - "dialogue": "Is anything staying constant from A to?" - }, - { - "start": "19:30.92", - "stop": "19:43.20", - "speaker": "Student", - "dialogue": "B, um, yes, um, it seems like Um, the the speed in which Um, it seems like the amount of miles." - }, - { - "start": "19:44.08", - "stop": "19:51.40", - "speaker": "Student", - "dialogue": "Um, that is incre, is increasing constantly within the one hour, because on the graph it's the line." - }, - { - "start": "19:51.84", - "stop": "19:57.00", - "speaker": "Student", - "dialogue": "The line from zero to one hour is straight, and so Um." - }, - { - "start": "19:57.92", - "stop": "20:02.80", - "speaker": "Student", - "dialogue": "the. I suppose the speed of the car within this hour was constant." - }, - { - "start": "20:03.68", - "stop": "20:05.36", - "speaker": "Tutor", - "dialogue": "Ah, you suppose it is?" - }, - { - "start": "20:05.56", - "stop": "20:05.96", - "speaker": "Tutor", - "dialogue": "Is that like?" - }, - { - "start": "20:06.12", - "stop": "20:10.60", - "speaker": "Tutor", - "dialogue": "I'm not sure the speed is constant, Or yes, I know the speed is constant." - }, - { - "start": "20:12.80", - "stop": "20:14.44", - "speaker": "Student", - "dialogue": "I know the speed is constant." - }, - { - "start": "20:15.80", - "stop": "20:36.72", - "speaker": "Tutor", - "dialogue": "I'm going to add that to your thinking ofu here, and the speed is constant, so that means that the miles and hours are changing at the same rate from A to B, and that relationship of miles to ours is what we think of as speed." - }, - { - "start": "20:38.20", - "stop": "20:40.92", - "speaker": "Tutor", - "dialogue": "And so you're saying, the speed is constant from a tob." - }, - { - "start": "20:41.32", - "stop": "20:46.16", - "speaker": "Tutor", - "dialogue": "The car is travelling at a constant speed from this section of the journey." - }, - { - "start": "20:47.20", - "stop": "20:48.04", - "speaker": "Tutor", - "dialogue": "Is that what you're saying?" - }, - { - "start": "20:49.16", - "stop": "20:50.32", - "speaker": "Tutor", - "dialogue": "Yes, cool." - }, - { - "start": "20:51.04", - "stop": "20:52.04", - "speaker": "Tutor", - "dialogue": "So how come" - }, - { - "start": "20:53.04", - "stop": "20:53.20", - "speaker": "Tutor", - "dialogue": "Wen?" - }, - { - "start": "20:53.28", - "stop": "20:54.32", - "speaker": "Tutor", - "dialogue": "I use a different color." - }, - { - "start": "20:55.48", - "stop": "20:56.52", - "speaker": "Tutor", - "dialogue": "How come on the map?" - }, - { - "start": "20:57.96", - "stop": "21:01.76", - "speaker": "Tutor", - "dialogue": "it's a curvey line from Aab, and on the graph" - }, - { - "start": "21:01.96", - "stop": "21:03.48", - "speaker": "Tutor", - "dialogue": "it's a straight line from Aab." - }, - { - "start": "21:05.80", - "stop": "21:08.20", - "speaker": "Student", - "dialogue": "Well, the map is to show the." - }, - { - "start": "21:08.88", - "stop": "21:22.32", - "speaker": "Student", - "dialogue": "I suppose a visual display of the journey, but I guess the graph is for a kind of a statistical analysis of the of the journey." - }, - { - "start": "21:22.64", - "stop": "21:23.44", - "speaker": "Student", - "dialogue": "Because Um." - }, - { - "start": "21:23.68", - "stop": "21:25.16", - "speaker": "Student", - "dialogue": "the graph is measuring." - }, - { - "start": "21:25.40", - "stop": "21:41.00", - "speaker": "Student", - "dialogue": "It's really displaying the distance, but I think I, I mean the uh, wait, no, Um, while the map is displaying how the journey looks like, Not really much about the distance." - }, - { - "start": "21:41.76", - "stop": "21:42.00", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "21:42.64", - "stop": "21:46.64", - "speaker": "Tutor", - "dialogue": "So the map is showing like the actual curves and turns of the road." - }, - { - "start": "21:47.84", - "stop": "21:55.04", - "speaker": "Tutor", - "dialogue": "but the graph is showing the relationship of how distance and how time are changing." - }, - { - "start": "21:57.68", - "stop": "21:58.04", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "21:58.80", - "stop": "22:03.12", - "speaker": "Tutor", - "dialogue": "Ok, so do you know how fast the car is going from A to B?" - }, - { - "start": "22:03.80", - "stop": "22:07.48", - "speaker": "Tutor", - "dialogue": "Would you be able to say what the speed is, or you just have enough information to say" - }, - { - "start": "22:07.52", - "stop": "22:08.52", - "speaker": "Tutor", - "dialogue": "it's a constant speed?" - }, - { - "start": "22:11.20", - "stop": "22:29.16", - "speaker": "Student", - "dialogue": "I, I think it would be fifty miles per hour in this um part, but in terms of minuits, I suppose it would be five over six miles per minute." - }, - { - "start": "22:30.28", - "stop": "22:32.48", - "speaker": "Tutor", - "dialogue": "And you can express it in miles per hour." - }, - { - "start": "22:32.64", - "stop": "22:33.04", - "speaker": "Tutor", - "dialogue": "That's fine." - }, - { - "start": "22:33.16", - "stop": "22:35.36", - "speaker": "Tutor", - "dialogue": "You don't have to have to change it to minutes." - }, - { - "start": "22:37.08", - "stop": "22:43.52", - "speaker": "Tutor", - "dialogue": "Okay, so you're saying the car from A to B is travelling at a constant speed of fifty miles an hour." - }, - { - "start": "22:44.24", - "stop": "22:45.72", - "speaker": "Tutor", - "dialogue": "That entire section of the journey." - }, - { - "start": "22:47.24", - "stop": "22:57.24", - "speaker": "Tutor", - "dialogue": "Yes, okay, I'll revise it up here by one hour, and the speed is a constant and the speed is constant at fifty miles per hour." - }, - { - "start": "22:59.44", - "stop": "23:01.28", - "speaker": "Tutor", - "dialogue": "Es cool." - }, - { - "start": "23:01.68", - "stop": "23:04.84", - "speaker": "Tutor", - "dialogue": "So then that means I think we need to add another purple word." - }, - { - "start": "23:05.32", - "stop": "23:08.80", - "speaker": "Tutor", - "dialogue": "You're also saying that speed is something" - }, - { - "start": "23:10.96", - "stop": "23:11.52", - "speaker": "Tutor", - "dialogue": "I don't like that" - }, - { - "start": "23:11.96", - "stop": "23:13.40", - "speaker": "Tutor", - "dialogue": "My mouse isn't working so good." - }, - { - "start": "23:17.92", - "stop": "23:20.28", - "speaker": "Tutor", - "dialogue": "Let me type it so Speed." - }, - { - "start": "23:20.40", - "stop": "23:25.64", - "speaker": "Tutor", - "dialogue": "And what units do we keep track of speed in Mi?" - }, - { - "start": "23:26.92", - "stop": "23:28.80", - "speaker": "Tutor", - "dialogue": "I thought we keep track of distance in miles." - }, - { - "start": "23:28.88", - "stop": "23:31.60", - "speaker": "Tutor", - "dialogue": "Can we keep track of distance and speed in miles?" - }, - { - "start": "23:34.72", - "stop": "23:36.00", - "speaker": "Student", - "dialogue": "Miles it per hour." - }, - { - "start": "23:36.56", - "stop": "23:38.48", - "speaker": "Tutor", - "dialogue": "Ah, so speed is a different unit?" - }, - { - "start": "23:38.88", - "stop": "23:39.20", - "speaker": "Tutor", - "dialogue": "It's my." - }, - { - "start": "23:39.44", - "stop": "23:41.84", - "speaker": "Tutor", - "dialogue": "It's the relationship of miles per hour." - }, - { - "start": "23:44.20", - "stop": "23:46.24", - "speaker": "Tutor", - "dialogue": "Yes, let me write this here." - }, - { - "start": "23:47.88", - "stop": "23:49.76", - "speaker": "Tutor", - "dialogue": "All right, So we got some more purple powerwords." - }, - { - "start": "23:49.80", - "stop": "23:52.00", - "speaker": "Tutor", - "dialogue": "He to think with cool." - }, - { - "start": "23:52.40", - "stop": "23:52.96", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "23:53.32", - "stop": "23:56.64", - "speaker": "Tutor", - "dialogue": "Tell me what's going on from B to C. What's increasing?" - }, - { - "start": "23:56.84", - "stop": "23:58.96", - "speaker": "Tutor", - "dialogue": "what's decreasing, What's staying the same." - }, - { - "start": "23:59.32", - "stop": "24:00.64", - "speaker": "Tutor", - "dialogue": "And do you know by how much?" - }, - { - "start": "24:01.92", - "stop": "24:13.68", - "speaker": "Student", - "dialogue": "Um, the the time is increasing Uh from by half an hour, but it seems like the distance is still the same, Um, mainly because the um." - }, - { - "start": "24:14.04", - "stop": "24:14.88", - "speaker": "Student", - "dialogue": "the car hasn't" - }, - { - "start": "24:15.44", - "stop": "24:19.56", - "speaker": "Student", - "dialogue": "maybe hasn't moved, maybe has stopped for a break, maybe." - }, - { - "start": "24:21.20", - "stop": "24:25.76", - "speaker": "Tutor", - "dialogue": "Ok, so you're saying the distance is staying the same so it hasn't changed." - }, - { - "start": "24:25.84", - "stop": "24:26.60", - "speaker": "Tutor", - "dialogue": "It's still zero" - }, - { - "start": "24:27.56", - "stop": "24:33.68", - "speaker": "Tutor", - "dialogue": "And we know the car is sitting still for a while, So do we know how fast the car is going, Could we say?" - }, - { - "start": "24:33.76", - "stop": "24:34.92", - "speaker": "Student", - "dialogue": "This, Yes, it's not." - }, - { - "start": "24:35.28", - "stop": "24:40.28", - "speaker": "Student", - "dialogue": "It's going zero miles per hour, because it's just staying there." - }, - { - "start": "24:40.44", - "stop": "24:42.80", - "speaker": "Student", - "dialogue": "It's not moving at all cool." - }, - { - "start": "24:44.00", - "stop": "24:46.60", - "speaker": "Tutor", - "dialogue": "What's going on from D to E's?" - }, - { - "start": "24:46.64", - "stop": "24:49.00", - "speaker": "Tutor", - "dialogue": "some some bumpy lines there in the graph?" - }, - { - "start": "24:49.20", - "stop": "24:50.24", - "speaker": "Tutor", - "dialogue": "What do you think that's about?" - }, - { - "start": "24:51.00", - "stop": "25:05.24", - "speaker": "Student", - "dialogue": "Um, I, s, um from D to e. Um, the car, Um, isn't really trowlling at a constant speed like it's just um bumpy like som." - }, - { - "start": "25:05.80", - "stop": "25:08.32", - "speaker": "Student", - "dialogue": "Sometimes it like goes faster." - }, - { - "start": "25:08.56", - "stop": "25:19.72", - "speaker": "Student", - "dialogue": "Sometimes it goes maybe slower and it's J. I don't think I can really say like how fast the car was going from this interval." - }, - { - "start": "25:21.12", - "stop": "25:30.84", - "speaker": "Tutor", - "dialogue": "Ah, so you're saying you wouldn't be able to find the exact speed, but you can tell that it's going faster and going slower, and that it's not traveling at a constant speed." - }, - { - "start": "25:32.20", - "stop": "25:33.24", - "speaker": "Tutor", - "dialogue": "Yes, cool." - }, - { - "start": "25:33.72", - "stop": "25:38.88", - "speaker": "Tutor", - "dialogue": "okay, Now you're going to get to scrap to sketch a graph." - }, - { - "start": "25:40.68", - "stop": "25:56.24", - "speaker": "Tutor", - "dialogue": "I'm going to uncover this one, and on this graph you're going to keep track of time in relationship to miles per hour speed, same situation and same things" - }, - { - "start": "25:56.28", - "stop": "26:02.24", - "speaker": "Tutor", - "dialogue": "we've done before you can do some rough draugt thinking, and if you want to revise things as you go, you can do that as well." - }, - { - "start": "27:04.96", - "stop": "27:11.40", - "speaker": "Tutor", - "dialogue": "Does time and hours always have to be on the Xxis, Or can it be on the Yxis?" - }, - { - "start": "27:16.76", - "stop": "27:17.60", - "speaker": "Tutor", - "dialogue": "Let's think about that." - }, - { - "start": "27:17.96", - "stop": "27:26.08", - "speaker": "Tutor", - "dialogue": "So in a graph in a graph there's one thing that's changing on this axis." - }, - { - "start": "27:26.80", - "stop": "27:35.28", - "speaker": "Tutor", - "dialogue": "There's another thing that's changing on this axis, And the relationship of how those two things are changing together is what we show with the graph." - }, - { - "start": "27:36.40", - "stop": "27:40.88", - "speaker": "Tutor", - "dialogue": "So we think about Is this thing increasing decreasing or staying the same?" - }, - { - "start": "27:41.76", - "stop": "27:44.68", - "speaker": "Tutor", - "dialogue": "Is this thing increasing decreasing or staying the same?" - }, - { - "start": "27:45.36", - "stop": "27:48.44", - "speaker": "Tutor", - "dialogue": "And as both of those things are changing, what's going on in here?" - }, - { - "start": "27:49.52", - "stop": "28:01.16", - "speaker": "Tutor", - "dialogue": "so if that's what a graph is showing, is the relationship between how things are changing, can we put time or hours up here, even if we haven't seen it this way before?" - }, - { - "start": "28:06.80", - "stop": "28:11.72", - "speaker": "Student", - "dialogue": "In some other case, I guess you could, but I don't think you can." - }, - { - "start": "28:11.92", - "stop": "28:16.60", - "speaker": "Student", - "dialogue": "In this case because um, be, I feel like it." - }, - { - "start": "28:16.92", - "stop": "28:20.56", - "speaker": "Student", - "dialogue": "It would be a bit awkward to um, kind of grafh" - }, - { - "start": "28:20.76", - "stop": "28:36.96", - "speaker": "Student", - "dialogue": "the speed in miles per hour, like on the X axes, Because Um, if you kind of label the unit on the X axes and try to um, graph it it, you, um." - }, - { - "start": "28:37.64", - "stop": "28:41.52", - "speaker": "Student", - "dialogue": "at some point like in the graph, Um, the speed is at." - }, - { - "start": "28:41.64", - "stop": "28:45.88", - "speaker": "Student", - "dialogue": "Uh, it's less than at than the speed" - }, - { - "start": "28:46.00", - "stop": "28:49.80", - "speaker": "Student", - "dialogue": "at another point, So you would kind of have to draw the line back." - }, - { - "start": "28:50.44", - "stop": "28:56.80", - "speaker": "Student", - "dialogue": "And so I don't think time should be in the white axies, Ah." - }, - { - "start": "28:57.00", - "stop": "28:58.64", - "speaker": "Tutor", - "dialogue": "I love what you're saying here." - }, - { - "start": "28:59.08", - "stop": "29:15.80", - "speaker": "Tutor", - "dialogue": "you're like I, I know that because of the way this thing is changing and the way this thing is changing, I'm going to have to draw a line that goes backwards at some time, and I'm not used to seeing graphs that go back like that, so I want to be able to create a graph that goes left to right and it keeps increasing." - }, - { - "start": "29:17.16", - "stop": "29:26.84", - "speaker": "Tutor", - "dialogue": "the more you go up into mathematics, and the different graphs that you create will get weirder and weirder looking in real life situation." - }, - { - "start": "29:27.16", - "stop": "29:31.28", - "speaker": "Tutor", - "dialogue": "You've probably had a lot of experience with linear graphs up until this point." - }, - { - "start": "29:31.68", - "stop": "29:32.52", - "speaker": "Tutor", - "dialogue": "So they're lines." - }, - { - "start": "29:33.16", - "stop": "29:41.28", - "speaker": "Tutor", - "dialogue": "Time is usually on the Ex axis and they move left to right pretty fluidly, so your brain is like, wait, Wait, I don't like this." - }, - { - "start": "29:41.44", - "stop": "29:43.80", - "speaker": "Tutor", - "dialogue": "I have to go backwards, so what I'm going to challenge" - }, - { - "start": "29:43.84", - "stop": "29:47.92", - "speaker": "Tutor", - "dialogue": "you to do is keep time on the vertical axis." - }, - { - "start": "29:48.56", - "stop": "29:55.40", - "speaker": "Tutor", - "dialogue": "and when you have to, If you think that you've got to draw a line that goes backwards, that's fine, draw that line that goes backwards." - }, - { - "start": "31:41.68", - "stop": "31:44.04", - "speaker": "Tutor", - "dialogue": "love it, and I can tell that you're taking a risk right" - }, - { - "start": "31:44.08", - "stop": "31:46.52", - "speaker": "Tutor", - "dialogue": "now and you're pushing yourself out of your comfort zone, aren't you?" - }, - { - "start": "31:50.04", - "stop": "31:51.36", - "speaker": "Tutor", - "dialogue": "I can hear it in your voice." - }, - { - "start": "31:51.68", - "stop": "31:52.52", - "speaker": "Tutor", - "dialogue": "It's awesome." - }, - { - "start": "31:53.24", - "stop": "31:53.64", - "speaker": "Tutor", - "dialogue": "awesome." - }, - { - "start": "31:53.80", - "stop": "31:55.16", - "speaker": "Tutor", - "dialogue": "So glad you're taking these risks." - }, - { - "start": "31:55.36", - "stop": "31:56.88", - "speaker": "Tutor", - "dialogue": "Okay, so let's take a look at this." - }, - { - "start": "31:57.92", - "stop": "32:00.20", - "speaker": "Tutor", - "dialogue": "Um, to help me understand what you're thinking" - }, - { - "start": "32:00.36", - "stop": "32:10.76", - "speaker": "Tutor", - "dialogue": "And this is why we use points on graphs to communicate that where would point A be located on your graph, and where would point B be located on your graph?" - }, - { - "start": "32:10.92", - "stop": "32:11.88", - "speaker": "Tutor", - "dialogue": "Go ahead and label those." - }, - { - "start": "32:40.32", - "stop": "32:44.36", - "speaker": "Student", - "dialogue": "Uh, point A would be at on zero end." - }, - { - "start": "32:44.44", - "stop": "32:50.92", - "speaker": "Student", - "dialogue": "Point B would be around, Um, one hour and fifty miles per hour, okay?" - }, - { - "start": "32:51.68", - "stop": "33:03.20", - "speaker": "Tutor", - "dialogue": "Earlier, from A to B, you said these things you said that distance was increasing and time was increasing, but speed stayed constant at fifty miles per hour." - }, - { - "start": "33:04.04", - "stop": "33:05.16", - "speaker": "Tutor", - "dialogue": "Check your graph." - }, - { - "start": "33:05.32", - "stop": "33:14.52", - "speaker": "Tutor", - "dialogue": "Now, do you agree that your graph shows that speed staying constant as time increases by one hour?" - }, - { - "start": "33:35.76", - "stop": "33:38.24", - "speaker": "Student", - "dialogue": "Because um, it's Um." - }, - { - "start": "33:40.04", - "stop": "33:44.00", - "speaker": "Student", - "dialogue": "It's increasing just like the g graph is Um." - }, - { - "start": "33:46.32", - "stop": "33:49.96", - "speaker": "Student", - "dialogue": "But yes, I think my graph shows it." - }, - { - "start": "33:50.68", - "stop": "34:02.36", - "speaker": "Tutor", - "dialogue": "Okay, so this graph when we look over here, if it's fifty miles per hour this entire time, that means at the start of the trip, the car's going fifty miles an hour, five minutes into the trip." - }, - { - "start": "34:02.68", - "stop": "34:03.92", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "34:09.88", - "stop": "34:11.52", - "speaker": "Student", - "dialogue": "I think it's still fifty miles." - }, - { - "start": "34:12.44", - "stop": "34:15.56", - "speaker": "Tutor", - "dialogue": "That's exactly what you said with it being constant, which I agree with." - }, - { - "start": "34:15.76", - "stop": "34:22.24", - "speaker": "Tutor", - "dialogue": "Yeah, that's what this linear line shows here is that it's a constant rate, so thirty minutes into the trip" - }, - { - "start": "34:22.80", - "stop": "34:23.92", - "speaker": "Tutor", - "dialogue": "the car is still going" - }, - { - "start": "34:24.48", - "stop": "34:27.88", - "speaker": "Tutor", - "dialogue": "fifty miles an hour over here." - }, - { - "start": "34:29.36", - "stop": "34:29.92", - "speaker": "Tutor", - "dialogue": "this is let" - }, - { - "start": "34:30.00", - "stop": "34:32.24", - "speaker": "Tutor", - "dialogue": "we make our size a little bit bigger, so we can see that dot." - }, - { - "start": "34:33.80", - "stop": "34:37.00", - "speaker": "Tutor", - "dialogue": "Okay, so here' is about thirty minutes into the trip." - }, - { - "start": "34:37.28", - "stop": "34:39.04", - "speaker": "Tutor", - "dialogue": "Car still going fifty miles an hour." - }, - { - "start": "34:41.00", - "stop": "34:44.92", - "speaker": "Tutor", - "dialogue": "Thirty minutes into the trip would be about right here on your graph." - }, - { - "start": "34:45.76", - "stop": "34:47.68", - "speaker": "Tutor", - "dialogue": "Right, Is that a good estimate?" - }, - { - "start": "34:47.72", - "stop": "34:48.04", - "speaker": "Tutor", - "dialogue": "You think?" - }, - { - "start": "34:49.28", - "stop": "34:56.12", - "speaker": "Tutor", - "dialogue": "Yes, Okay, How fast is the car going on your graph at thirty minutes into the trip?" - }, - { - "start": "34:59.52", - "stop": "35:01.04", - "speaker": "Student", - "dialogue": "Um, I meant Um." - }, - { - "start": "35:01.36", - "stop": "35:02.60", - "speaker": "Student", - "dialogue": "I meant Um." - }, - { - "start": "35:03.04", - "stop": "35:12.40", - "speaker": "Student", - "dialogue": "Like for the, I kind of meant it for it to be fifty, but I wasn't really sure how to display it on the graph." - }, - { - "start": "35:13.04", - "stop": "35:13.32", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "35:13.96", - "stop": "35:15.76", - "speaker": "Tutor", - "dialogue": "So you're saying I know from A to B?" - }, - { - "start": "35:15.88", - "stop": "35:16.84", - "speaker": "Tutor", - "dialogue": "it's supposed to be fifty" - }, - { - "start": "35:16.88", - "stop": "35:20.24", - "speaker": "Tutor", - "dialogue": "miles an hour the whole time, but I don't know how to get my graph to show that?" - }, - { - "start": "35:22.20", - "stop": "35:30.52", - "speaker": "Tutor", - "dialogue": "Yes, okay, so right here you're showing the graph starts, and how fast is the car going at the start?" - }, - { - "start": "35:31.80", - "stop": "35:33.24", - "speaker": "Student", - "dialogue": "M, zero miles." - }, - { - "start": "35:34.04", - "stop": "35:41.36", - "speaker": "Tutor", - "dialogue": "Zero, yeah, and you're showing that speed is increasing from zero to fifty over that section." - }, - { - "start": "35:43.08", - "stop": "35:49.16", - "speaker": "Tutor", - "dialogue": "But your words and your head, and what you've described here and here is saying, It's not starting at" - }, - { - "start": "35:49.28", - "stop": "35:51.72", - "speaker": "Tutor", - "dialogue": "zero miles an hour and increasing to fifty." - }, - { - "start": "35:52.36", - "stop": "35:56.08", - "speaker": "Tutor", - "dialogue": "It's traveling fifty miles an hour that entire time." - }, - { - "start": "35:58.00", - "stop": "35:58.60", - "speaker": "Student", - "dialogue": "A yes." - }, - { - "start": "35:59.80", - "stop": "36:02.40", - "speaker": "Tutor", - "dialogue": "So where would a be located?" - }, - { - "start": "36:02.48", - "stop": "36:05.12", - "speaker": "Tutor", - "dialogue": "Would it be at zero, or would it be at fifty miles an hour?" - }, - { - "start": "36:06.60", - "stop": "36:09.48", - "speaker": "Student", - "dialogue": "Um, A would be located at zero." - }, - { - "start": "36:10.48", - "stop": "36:10.96", - "speaker": "Tutor", - "dialogue": "How come?" - }, - { - "start": "36:12.20", - "stop": "36:22.92", - "speaker": "Student", - "dialogue": "Um, because since A is like the starting point, you're not Um, traveling any distance, nor, nor is time increasing." - }, - { - "start": "36:23.36", - "stop": "36:24.44", - "speaker": "Student", - "dialogue": "So I. a. I guess" - }, - { - "start": "36:24.56", - "stop": "36:26.04", - "speaker": "Student", - "dialogue": "A would still be at zero" - }, - { - "start": "36:26.76", - "stop": "36:29.32", - "speaker": "Student", - "dialogue": "because Um, it's kind of the starting point" - }, - { - "start": "36:29.64", - "stop": "36:34.56", - "speaker": "Student", - "dialogue": "and I think, Um, yeah, it." - }, - { - "start": "36:34.80", - "stop": "36:37.60", - "speaker": "Student", - "dialogue": "I think it should also be the starting-point of thiscraf." - }, - { - "start": "36:39.40", - "stop": "36:43.92", - "speaker": "Tutor", - "dialogue": "We're going to pretend like the car was already traveling when it hit Providence." - }, - { - "start": "36:45.16", - "stop": "36:47.32", - "speaker": "Tutor", - "dialogue": "It was already going fifty miles an hour." - }, - { - "start": "36:47.48", - "stop": "36:54.40", - "speaker": "Tutor", - "dialogue": "when it went through Providence, and in the entire section from A to B. it continued to travel fifty miles an hour." - }, - { - "start": "36:56.76", - "stop": "37:02.64", - "speaker": "Tutor", - "dialogue": "Yes, so in this journey the cart isn't starting at zero miles an hour." - }, - { - "start": "37:03.60", - "stop": "37:05.00", - "speaker": "Tutor", - "dialogue": "it's starting at fifty mile." - }, - { - "start": "37:08.64", - "stop": "37:10.24", - "speaker": "Student", - "dialogue": "Can I revice my craft?" - }, - { - "start": "37:10.52", - "stop": "37:15.00", - "speaker": "Tutor", - "dialogue": "Any time you want to revise your thinking and math, you don't even have to ask for permission, you just do." - }, - { - "start": "37:15.16", - "stop": "37:16.92", - "speaker": "Student", - "dialogue": "It, Ky." - }, - { - "start": "37:26.32", - "stop": "37:29.52", - "speaker": "Tutor", - "dialogue": "And it's your graft, so feel free to erase things that I wrote also." - }, - { - "start": "37:46.08", - "stop": "39:00.52", - "speaker": "Student", - "dialogue": "You, I think that will Berah." - }, - { - "start": "39:01.08", - "stop": "39:04.80", - "speaker": "Tutor", - "dialogue": "Beautiful, so same thing, label your points, and then explain to me" - }, - { - "start": "39:04.92", - "stop": "39:08.16", - "speaker": "Tutor", - "dialogue": "what's going on in your graph and how you know where it should." - }, - { - "start": "39:08.20", - "stop": "39:48.88", - "speaker": "Student", - "dialogue": "Be, um, those are my points." - }, - { - "start": "39:50.08", - "stop": "39:51.92", - "speaker": "Tutor", - "dialogue": "Explain to me what's going on in your journey." - }, - { - "start": "39:53.00", - "stop": "40:23.60", - "speaker": "Student", - "dialogue": "Um, so if the car was already traveling Um before point a, Um, it would start here, so Um, it would start at fifty miles per hour, and and um go all that way, Um until after one hour, where it would kind of just move back because it's not moving at all, and Um, kind of until half um way between one and two." - }, - { - "start": "40:23.96", - "stop": "40:40.96", - "speaker": "Student", - "dialogue": "It would uh in increase back to like about sixty miles per hour hour, and Um from two to three hours." - }, - { - "start": "40:41.88", - "stop": "40:42.04", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "40:43.80", - "stop": "40:55.44", - "speaker": "Student", - "dialogue": "it seems like it's Um, increasing in a constant rate as well, So it's like from here to here, So it's it." - }, - { - "start": "40:55.68", - "stop": "41:01.72", - "speaker": "Student", - "dialogue": "The line is straight here and from three to four hours, it's kind of." - }, - { - "start": "41:03.00", - "stop": "41:04.36", - "speaker": "Student", - "dialogue": "it's kind of a. Um." - }, - { - "start": "41:05.32", - "stop": "41:05.72", - "speaker": "Student", - "dialogue": "I guess." - }, - { - "start": "41:06.76", - "stop": "41:07.12", - "speaker": "Student", - "dialogue": "I guess" - }, - { - "start": "41:07.16", - "stop": "41:11.20", - "speaker": "Student", - "dialogue": "it's kind of decreasing in speed because Um, the final." - }, - { - "start": "41:11.48", - "stop": "41:15.80", - "speaker": "Student", - "dialogue": "when you reach the final destination you're not moving at all, And it." - }, - { - "start": "41:16.08", - "stop": "41:19.72", - "speaker": "Student", - "dialogue": "S. it seems to have a slower growth than normal." - }, - { - "start": "41:21.32", - "stop": "41:27.08", - "speaker": "Tutor", - "dialogue": "Mm, so your prediction is from either F. The car is slowing back down again." - }, - { - "start": "41:29.76", - "stop": "41:38.68", - "speaker": "Student", - "dialogue": "Uh, it's it's S. Yeah, It's going at a slower speed than the utter hourly interval." - }, - { - "start": "41:40.56", - "stop": "41:45.68", - "speaker": "Tutor", - "dialogue": "Okay, so it's not as fast as fifty miles an hour, so you sketched it or estimated it to be somewhere back here." - }, - { - "start": "41:46.60", - "stop": "41:47.40", - "speaker": "Student", - "dialogue": "Yes, okay." - }, - { - "start": "41:47.88", - "stop": "41:49.60", - "speaker": "Tutor", - "dialogue": "Cool, can graphs look like?" - }, - { - "start": "41:49.76", - "stop": "41:52.96", - "speaker": "Student", - "dialogue": "This, um, not, nor." - }, - { - "start": "41:54.44", - "stop": "41:56.56", - "speaker": "Tutor", - "dialogue": "Meaning you haven't seen graphs like this before?" - }, - { - "start": "41:57.68", - "stop": "41:59.24", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, cool." - }, - { - "start": "41:59.56", - "stop": "42:00.08", - "speaker": "Tutor", - "dialogue": "So what?" - }, - { - "start": "42:00.64", - "stop": "42:03.16", - "speaker": "Tutor", - "dialogue": "Um, Any time you're working with graphs, remember" - }, - { - "start": "42:03.32", - "stop": "42:10.88", - "speaker": "Tutor", - "dialogue": "the they are going to start to look more and more bizarre and weird and different and to read a graph." - }, - { - "start": "42:11.48", - "stop": "42:14.24", - "speaker": "Tutor", - "dialogue": "These purple power words can help you make sense of it." - }, - { - "start": "42:15.00", - "stop": "42:19.92", - "speaker": "Tutor", - "dialogue": "Think about, I have one variable that's changing and it's represented on one axis." - }, - { - "start": "42:20.56", - "stop": "42:30.32", - "speaker": "Tutor", - "dialogue": "I have another variable that's changing and it's represented on another axis, And then how those two things are changing together is what the graph represents." - }, - { - "start": "42:30.88", - "stop": "42:37.08", - "speaker": "Tutor", - "dialogue": "Your graph represents how speed is changing in relation to time." - }, - { - "start": "42:37.36", - "stop": "42:41.76", - "speaker": "Tutor", - "dialogue": "Is the car travelling the entire speed for four hours at the same speed?" - }, - { - "start": "42:44.12", - "stop": "42:45.88", - "speaker": "Tutor", - "dialogue": "No, No, the speed is changing." - }, - { - "start": "42:46.20", - "stop": "43:03.04", - "speaker": "Tutor", - "dialogue": "Your graph shows that that changing and speed can decrease. so the graph goes backwards, So always remember to use these words to describe what's changing and how is it changing in your mind, even if a teacher doesn't ask to help you make sense of a graph." - }, - { - "start": "43:06.88", - "stop": "43:13.72", - "speaker": "Tutor", - "dialogue": "Now, M, you know that you're helping us test out this platform and also this way of thinking about math learning." - }, - { - "start": "43:14.20", - "stop": "43:18.80", - "speaker": "Tutor", - "dialogue": "So Um, for just a couple more minutes, I'd love to hear what your experience was like for you." - }, - { - "start": "43:19.40", - "stop": "43:23.36", - "speaker": "Tutor", - "dialogue": "Is there something you feel like you've learned or are thinking differently about now?" - }, - { - "start": "43:26.36", - "stop": "43:29.04", - "speaker": "Student", - "dialogue": "I guess it was kind of a unique experience." - }, - { - "start": "43:29.40", - "stop": "43:29.52", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "43:29.88", - "stop": "43:33.04", - "speaker": "Student", - "dialogue": "It's I've been introduced to a Um." - }, - { - "start": "43:33.48", - "stop": "43:33.92", - "speaker": "Student", - "dialogue": "A new." - }, - { - "start": "43:35.28", - "stop": "43:35.40", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "43:36.00", - "stop": "43:38.76", - "speaker": "Student", - "dialogue": "How how would you say this area of math?" - }, - { - "start": "43:38.92", - "stop": "43:49.40", - "speaker": "Student", - "dialogue": "I guess that I'm not really familiar with, and I guess Um, this experience kind of opened my mind to otther possibilities." - }, - { - "start": "43:55.60", - "stop": "44:05.88", - "speaker": "Student", - "dialogue": "like, for instance, graps don't really have to be kind of in the moving forward and up direction." - }, - { - "start": "44:06.00", - "stop": "44:08.40", - "speaker": "Student", - "dialogue": "It can kind of be just moving backwards." - }, - { - "start": "44:11.40", - "stop": "44:21.76", - "speaker": "Student", - "dialogue": "Do, um, the relationship between two, Um, two things, I guess." - }, - { - "start": "44:22.48", - "stop": "44:31.24", - "speaker": "Tutor", - "dialogue": "Yeah, absolutely, they're showing that relationship of how things are changing, And then what was helpful for you in this experience" - }, - { - "start": "44:31.48", - "stop": "44:35.20", - "speaker": "Tutor", - "dialogue": "Or what are some things we could think about doing differently to make it better?" - }, - { - "start": "44:42.68", - "stop": "44:53.28", - "speaker": "Student", - "dialogue": "I, some things that were helpful were, Um, how, I was kind of guided throughout the process all the time." - }, - { - "start": "44:57.68", - "stop": "45:02.04", - "speaker": "Student", - "dialogue": "I don't really have a comment on what can be impruve." - }, - { - "start": "45:05.64", - "stop": "45:10.20", - "speaker": "Tutor", - "dialogue": "If you think of something your voice matters, so feel free to share that." - }, - { - "start": "45:10.32", - "stop": "45:13.20", - "speaker": "Tutor", - "dialogue": "Okay, and then also I hope from you, take away from this." - }, - { - "start": "45:13.44", - "stop": "45:15.48", - "speaker": "Tutor", - "dialogue": "It's always okay to revise your thinking." - }, - { - "start": "45:15.76", - "stop": "45:18.96", - "speaker": "Tutor", - "dialogue": "Whenever you're thinking about math, you get to change your mind." - }, - { - "start": "45:19.84", - "stop": "45:20.40", - "speaker": "Tutor", - "dialogue": "Embrace that." - }, - { - "start": "45:20.56", - "stop": "45:20.84", - "speaker": "Tutor", - "dialogue": "okay." - }, - { - "start": "45:21.84", - "stop": "45:24.68", - "speaker": "Tutor", - "dialogue": "Okay, All right, thank you so much for joining to-night" - }, - { - "start": "45:24.80", - "stop": "45:25.96", - "speaker": "Tutor", - "dialogue": "I hope you have a great evening." - }, - { - "start": "45:27.04", - "stop": "45:27.28", - "speaker": "Student", - "dialogue": "Thank you." - } -] \ No newline at end of file diff --git a/data/amber/x1666.json b/data/amber/x1666.json deleted file mode 100644 index 2eb3c19..0000000 --- a/data/amber/x1666.json +++ /dev/null @@ -1,3098 +0,0 @@ -[ - { - "start": "00:02.52", - "stop": "00:12.80", - "speaker": "Tutor", - "dialogue": "Okay, so first we're going to look at the tools that are on the left- hand side and how to use the platform, and then I'll explain a little bit about what it'll be like as we're working together, so on the left hand side" - }, - { - "start": "00:12.84", - "stop": "00:17.36", - "speaker": "Tutor", - "dialogue": "there are some tools that you can use to draw different things or type or erase." - }, - { - "start": "00:18.20", - "stop": "00:28.04", - "speaker": "Tutor", - "dialogue": "When you click the pencil button up above, you'll see a color in a size box that pops up and you can change the color and size if you choose to draw something with that tool." - }, - { - "start": "00:29.28", - "stop": "00:32.00", - "speaker": "Tutor", - "dialogue": "And then there's the t inside the square." - }, - { - "start": "00:32.48", - "stop": "00:44.80", - "speaker": "Tutor", - "dialogue": "If you click that, it will enter a text box if you prefer to type instead of draw, And then erasing gets a little bit tricky, so we're going to practicse that don't touch the trash can button." - }, - { - "start": "00:45.36", - "stop": "00:49.08", - "speaker": "Tutor", - "dialogue": "That will erase everything on your screen and we have no way of getting it back." - }, - { - "start": "00:50.04", - "stop": "00:57.68", - "speaker": "Tutor", - "dialogue": "But if you draw something and you change your mind and want to erase, you'll need to select it and you select it with that top arrow." - }, - { - "start": "00:59.12", - "stop": "01:10.36", - "speaker": "Tutor", - "dialogue": "so you select whatever you want to erase and then you can hit your delete button or the arrow with an x in it, so practicse drawing something and then see if you can erase what you drew." - }, - { - "start": "01:22.40", - "stop": "01:22.76", - "speaker": "Tutor", - "dialogue": "Perfect." - }, - { - "start": "01:23.28", - "stop": "01:31.68", - "speaker": "Tutor", - "dialogue": "Yep, and I can see when you're working live and I can see you moving your arrow too, So if you want to point to something as we're talking, you can do that and I may point to some things, too." - }, - { - "start": "01:32.88", - "stop": "01:34.40", - "speaker": "Tutor", - "dialogue": "Do you have any questions about the tools?" - }, - { - "start": "01:35.12", - "stop": "01:35.60", - "speaker": "Student", - "dialogue": "A no." - }, - { - "start": "01:36.84", - "stop": "01:45.20", - "speaker": "Tutor", - "dialogue": "So you can close your chat box if it's still open, to give yourself some more space to see the screen, and then the way we're going to work." - }, - { - "start": "01:45.36", - "stop": "01:49.68", - "speaker": "Tutor", - "dialogue": "we're going to be talking back and forth and I'll ask you a lot of questions." - }, - { - "start": "01:50.12", - "stop": "01:52.88", - "speaker": "Tutor", - "dialogue": "But that doesn't necessarily mean that you got something wrong." - }, - { - "start": "01:53.12", - "stop": "01:54.96", - "speaker": "Tutor", - "dialogue": "I just want to know more about your thinking." - }, - { - "start": "01:56.36", - "stop": "01:59.44", - "speaker": "Tutor", - "dialogue": "also if I ask you something, and you're like, Oh, I'm not sure." - }, - { - "start": "02:00.08", - "stop": "02:01.40", - "speaker": "Tutor", - "dialogue": "Need some time to think about that." - }, - { - "start": "02:01.84", - "stop": "02:04.56", - "speaker": "Tutor", - "dialogue": "Just verbalize it because I can't see your face" - }, - { - "start": "02:05.20", - "stop": "02:10.80", - "speaker": "Tutor", - "dialogue": "And so I want to make sure that if you're in that thinking mode, I don't interrupt your thinking by continuing to talk." - }, - { - "start": "02:13.36", - "stop": "02:15.12", - "speaker": "Student", - "dialogue": "Okayre." - }, - { - "start": "02:15.16", - "stop": "02:16.04", - "speaker": "Tutor", - "dialogue": "You ready to get started?" - }, - { - "start": "02:17.04", - "stop": "02:17.36", - "speaker": "Student", - "dialogue": "Ah, yeah." - }, - { - "start": "02:17.84", - "stop": "02:18.12", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "02:18.20", - "stop": "02:19.32", - "speaker": "Tutor", - "dialogue": "I'm going to change the screen." - }, - { - "start": "02:20.92", - "stop": "02:22.32", - "speaker": "Tutor", - "dialogue": "You see something different on your screen" - }, - { - "start": "02:22.44", - "stop": "02:22.60", - "speaker": "Tutor", - "dialogue": "now?" - }, - { - "start": "02:23.24", - "stop": "02:25.64", - "speaker": "Tutor", - "dialogue": "Ah, yes, okay, so take a minute to read it." - }, - { - "start": "02:25.88", - "stop": "02:30.00", - "speaker": "Tutor", - "dialogue": "Look it over and then describe what you think might be happening in this situation." - }, - { - "start": "02:34.76", - "stop": "02:38.24", - "speaker": "Student", - "dialogue": "Um, I'm not sure." - }, - { - "start": "02:38.92", - "stop": "02:40.60", - "speaker": "Student", - "dialogue": "I just I guess" - }, - { - "start": "02:41.48", - "stop": "02:49.32", - "speaker": "Student", - "dialogue": "it's the path a car is taking to go from Um, New Jersey to New York City." - }, - { - "start": "02:50.64", - "stop": "02:50.92", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "02:51.12", - "stop": "02:56.72", - "speaker": "Tutor", - "dialogue": "Yep, you said, or were you going to say something else?" - }, - { - "start": "02:57.08", - "stop": "02:59.88", - "speaker": "Student", - "dialogue": "Uh, or at least like pass it 'cause it says through." - }, - { - "start": "03:01.52", - "stop": "03:03.76", - "speaker": "Tutor", - "dialogue": "So where does the car start in this journey?" - }, - { - "start": "03:08.04", - "stop": "03:08.96", - "speaker": "Student", - "dialogue": "Um, it starts." - }, - { - "start": "03:09.36", - "stop": "03:10.24", - "speaker": "Student", - "dialogue": "Wait here." - }, - { - "start": "03:11.36", - "stop": "03:13.12", - "speaker": "Tutor", - "dialogue": "How do you know it starts right there?" - }, - { - "start": "03:14.56", - "stop": "03:18.20", - "speaker": "Student", - "dialogue": "Um, because it says that it starts from Um, Providence." - }, - { - "start": "03:20.36", - "stop": "03:20.60", - "speaker": "Student", - "dialogue": "Wait." - }, - { - "start": "03:20.84", - "stop": "03:21.76", - "speaker": "Student", - "dialogue": "Oh, never mind." - }, - { - "start": "03:22.04", - "stop": "03:22.32", - "speaker": "Student", - "dialogue": "sorry." - }, - { - "start": "03:23.08", - "stop": "03:24.08", - "speaker": "Student", - "dialogue": "Uh, here." - }, - { - "start": "03:25.48", - "stop": "03:28.92", - "speaker": "Student", - "dialogue": "ho. A 'cause it says it." - }, - { - "start": "03:29.40", - "stop": "03:34.48", - "speaker": "Student", - "dialogue": "It shows a car's journey from this place Providence to Um." - }, - { - "start": "03:35.00", - "stop": "03:38.72", - "speaker": "Student", - "dialogue": "Newark, New Jersey through New York City." - }, - { - "start": "03:39.96", - "stop": "03:45.16", - "speaker": "Tutor", - "dialogue": "Yep, and that path that you talked about that's the interstate, and that's what the I ninety five means." - }, - { - "start": "03:45.24", - "stop": "03:45.76", - "speaker": "Tutor", - "dialogue": "it's the inter." - }, - { - "start": "03:45.96", - "stop": "03:46.88", - "speaker": "Tutor", - "dialogue": "Oh, the cars track." - }, - { - "start": "03:48.60", - "stop": "03:55.20", - "speaker": "Tutor", - "dialogue": "Okay, what are Ok things that you think we might be able to measure in this situation?" - }, - { - "start": "03:57.16", - "stop": "03:58.36", - "speaker": "Student", - "dialogue": "A distance." - }, - { - "start": "03:59.52", - "stop": "04:03.68", - "speaker": "Tutor", - "dialogue": "Ok, and if we were going to measure the distance, what units could we?" - }, - { - "start": "04:03.88", - "stop": "04:08.40", - "speaker": "Student", - "dialogue": "Use Ah, miles, I think." - }, - { - "start": "04:10.36", - "stop": "04:12.88", - "speaker": "Tutor", - "dialogue": "Are there other things that we might be able to measure?" - }, - { - "start": "04:14.92", - "stop": "04:19.28", - "speaker": "Student", - "dialogue": "Uh, I'm not sure, Okay?" - }, - { - "start": "04:19.68", - "stop": "04:24.48", - "speaker": "Tutor", - "dialogue": "Cool and that's also always cool to say like I'm not sure yet or not sure." - }, - { - "start": "04:24.60", - "stop": "04:25.92", - "speaker": "Tutor", - "dialogue": "But I'm goinga take a risk" - }, - { - "start": "04:26.00", - "stop": "04:26.84", - "speaker": "Tutor", - "dialogue": "And maybe it's this." - }, - { - "start": "04:28.08", - "stop": "04:29.80", - "speaker": "Tutor", - "dialogue": "It's okay to push yourself out there too." - }, - { - "start": "04:29.96", - "stop": "04:30.20", - "speaker": "Tutor", - "dialogue": "okay." - }, - { - "start": "04:30.84", - "stop": "04:39.16", - "speaker": "Tutor", - "dialogue": "Okay, all right now, I'm goinga uncover something and think about how it's similar or different to what you were thinking about." - }, - { - "start": "04:50.44", - "stop": "04:52.52", - "speaker": "Student", - "dialogue": "This also relates to distance." - }, - { - "start": "04:54.12", - "stop": "04:56.80", - "speaker": "Tutor", - "dialogue": "Okay, so where do you see distance on this?" - }, - { - "start": "04:56.96", - "stop": "04:58.56", - "speaker": "Tutor", - "dialogue": "How was it keeping track of distance?" - }, - { - "start": "04:59.40", - "stop": "05:01.16", - "speaker": "Student", - "dialogue": "It's on the Y axis." - }, - { - "start": "05:03.68", - "stop": "05:06.72", - "speaker": "Tutor", - "dialogue": "Is this graph measuring or keeping track of anything else?" - }, - { - "start": "05:08.00", - "stop": "05:09.12", - "speaker": "Student", - "dialogue": "Uh, also the time?" - }, - { - "start": "05:09.44", - "stop": "05:18.76", - "speaker": "Student", - "dialogue": "So Uh, the distance per, every like one to three or four hours." - }, - { - "start": "05:20.00", - "stop": "05:28.00", - "speaker": "Tutor", - "dialogue": "Okay, so it's take it is keeping track of the relationship between the distance and the time that it takes to travel on this journey." - }, - { - "start": "05:29.60", - "stop": "05:31.20", - "speaker": "Student", - "dialogue": "Uh, not." - }, - { - "start": "05:31.48", - "stop": "05:33.36", - "speaker": "Student", - "dialogue": "N. Is it this journey?" - }, - { - "start": "05:33.84", - "stop": "05:34.72", - "speaker": "Student", - "dialogue": "A specifically." - }, - { - "start": "05:35.04", - "stop": "05:37.16", - "speaker": "Tutor", - "dialogue": "Great question, Yes, it is." - }, - { - "start": "05:37.72", - "stop": "05:39.92", - "speaker": "Tutor", - "dialogue": "This is also representing the same journey." - }, - { - "start": "05:40.76", - "stop": "05:52.28", - "speaker": "Tutor", - "dialogue": "Okay, all right, So since it's representing the same journey, If you look at the map and the graph, can you describe each stage of the journey?" - }, - { - "start": "05:54.68", - "stop": "05:57.96", - "speaker": "Student", - "dialogue": "Uh, A would be Providence." - }, - { - "start": "05:59.00", - "stop": "06:04.52", - "speaker": "Student", - "dialogue": "Uh, New York City would be around E, and then Newark would be." - }, - { - "start": "06:05.16", - "stop": "06:15.24", - "speaker": "Tutor", - "dialogue": "F, So there as some points there that you think that you can identify on the map what's happening as the car is traveling along this journey?" - }, - { - "start": "06:22.60", - "stop": "06:24.24", - "speaker": "Student", - "dialogue": "I'm not sure well." - }, - { - "start": "06:24.52", - "stop": "06:25.76", - "speaker": "Tutor", - "dialogue": "Okay, so let's label." - }, - { - "start": "06:25.80", - "stop": "06:26.92", - "speaker": "Tutor", - "dialogue": "That's awesome Label." - }, - { - "start": "06:27.40", - "stop": "06:28.24", - "speaker": "Tutor", - "dialogue": "The points that you." - }, - { - "start": "06:29.04", - "stop": "06:29.52", - "speaker": "Tutor", - "dialogue": "Where do you?" - }, - { - "start": "06:29.64", - "stop": "06:29.68", - "speaker": "Tutor", - "dialogue": "C?" - }, - { - "start": "06:29.92", - "stop": "06:33.28", - "speaker": "Tutor", - "dialogue": "A? You mentioned, E and F, and I also want to challenge you" - }, - { - "start": "06:33.40", - "stop": "06:36.96", - "speaker": "Tutor", - "dialogue": "To think about where would B, C and D be located?" - }, - { - "start": "06:39.44", - "stop": "06:56.72", - "speaker": "Student", - "dialogue": "Okay, Uh, so I assume this would be A, and then it sould be F. Oh, Wait, Ah, is this a separate location from Uh Newark?" - }, - { - "start": "06:57.36", - "stop": "07:02.32", - "speaker": "Tutor", - "dialogue": "The New Jersey Turnpike, Yeah, the New Jersey Turnpike is the name of this stretch of the road." - }, - { - "start": "07:03.52", - "stop": "07:17.48", - "speaker": "Student", - "dialogue": "Oh, okay, uh, So this, so this would be counted as like a point" - }, - { - "start": "07:17.96", - "stop": "07:22.96", - "speaker": "Student", - "dialogue": "Like on the, this could be one of the letters, right?" - }, - { - "start": "07:23.60", - "stop": "07:26.04", - "speaker": "Tutor", - "dialogue": "It could be, And you have a here" - }, - { - "start": "07:26.64", - "stop": "07:32.52", - "speaker": "Tutor", - "dialogue": "And but where' is the point A and point F. Like is point A over here or over here?" - }, - { - "start": "07:32.72", - "stop": "07:33.84", - "speaker": "Tutor", - "dialogue": "Where' is the actual point?" - }, - { - "start": "07:34.40", - "stop": "07:37.04", - "speaker": "Student", - "dialogue": "Uh, I assume it's okay." - }, - { - "start": "07:37.16", - "stop": "07:38.44", - "speaker": "Student", - "dialogue": "Should I change color?" - }, - { - "start": "07:38.80", - "stop": "07:40.48", - "speaker": "Tutor", - "dialogue": "You can use colors if it helps you." - }, - { - "start": "07:40.68", - "stop": "07:42.56", - "speaker": "Tutor", - "dialogue": "It's totally how you want to show your thinking." - }, - { - "start": "07:43.00", - "stop": "07:44.08", - "speaker": "Student", - "dialogue": "It could be here." - }, - { - "start": "07:44.60", - "stop": "07:44.88", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "07:45.72", - "stop": "07:48.24", - "speaker": "Student", - "dialogue": "And then F would be here." - }, - { - "start": "07:50.12", - "stop": "07:52.88", - "speaker": "Tutor", - "dialogue": "Okay, well, that helps me understand how you're seeing." - }, - { - "start": "07:52.96", - "stop": "08:11.16", - "speaker": "Student", - "dialogue": "It, okay, uh, this could be E. Then and then Uh, I assume" - }, - { - "start": "08:11.72", - "stop": "08:22.68", - "speaker": "Student", - "dialogue": "maybe this is D. and then I'm not sure about B and C." - }, - { - "start": "08:23.56", - "stop": "08:28.36", - "speaker": "Tutor", - "dialogue": "Okay, and it also sounds like you're not sure about D with the tone of your voice, you sad." - }, - { - "start": "08:28.48", - "stop": "08:29.72", - "speaker": "Tutor", - "dialogue": "Yeah, ma, be here." - }, - { - "start": "08:30.64", - "stop": "08:34.16", - "speaker": "Tutor", - "dialogue": "Okay, so tell me what you're thinking about with why it might be there." - }, - { - "start": "08:35.36", - "stop": "08:40.24", - "speaker": "Student", - "dialogue": "Uh, I assume it's there because, but like New York City, I don't know." - }, - { - "start": "08:40.56", - "stop": "08:45.88", - "speaker": "Student", - "dialogue": "Like which part of the path is New York City." - }, - { - "start": "08:46.12", - "stop": "08:49.72", - "speaker": "Student", - "dialogue": "Like, I assume it's this whole area." - }, - { - "start": "08:49.84", - "stop": "08:54.84", - "speaker": "Student", - "dialogue": "But like what, I don't know if it stretchs from here or like, I assume it does start from here, but." - }, - { - "start": "08:55.72", - "stop": "09:04.76", - "speaker": "Tutor", - "dialogue": "Yeah, so I can clarify that this is the road that the car is taking and it drives through New York City, which New York City is big." - }, - { - "start": "09:05.24", - "stop": "09:08.44", - "speaker": "Tutor", - "dialogue": "but it drives through New York City on this road." - }, - { - "start": "09:10.24", - "stop": "09:11.60", - "speaker": "Tutor", - "dialogue": "A. Was that help?" - }, - { - "start": "09:12.60", - "stop": "09:16.08", - "speaker": "Tutor", - "dialogue": "Ah, yeah, okay, Do you still think D would be located there?" - }, - { - "start": "09:18.96", - "stop": "09:24.88", - "speaker": "Student", - "dialogue": "I would say so honestly okay." - }, - { - "start": "09:25.40", - "stop": "09:30.04", - "speaker": "Tutor", - "dialogue": "Cool and what's what is making you think?" - }, - { - "start": "09:30.28", - "stop": "09:33.56", - "speaker": "Tutor", - "dialogue": "I'm not sure about B, C and D. What's happening?" - }, - { - "start": "09:33.88", - "stop": "09:36.72", - "speaker": "Tutor", - "dialogue": "I'm sorry us, B and C. what's happening with those points?" - }, - { - "start": "09:37.56", - "stop": "09:39.04", - "speaker": "Student", - "dialogue": "Uh, I can't locate them." - }, - { - "start": "09:39.72", - "stop": "09:40.28", - "speaker": "Tutor", - "dialogue": "Why not a?" - }, - { - "start": "09:40.48", - "stop": "09:42.48", - "speaker": "Tutor", - "dialogue": "What would you need to know to be able to locate 'em?" - }, - { - "start": "09:42.92", - "stop": "09:52.40", - "speaker": "Student", - "dialogue": "I would need to know Uh the time it took like for to get to each like location on the like map." - }, - { - "start": "09:54.04", - "stop": "09:58.44", - "speaker": "Tutor", - "dialogue": "Okay, do we know how long the it took the car to go from A to?" - }, - { - "start": "09:58.52", - "stop": "10:04.88", - "speaker": "Student", - "dialogue": "B, from A to B, uh, an hour." - }, - { - "start": "10:06.20", - "stop": "10:09.48", - "speaker": "Tutor", - "dialogue": "Do we know how long it took the car to travel the entire journey?" - }, - { - "start": "10:11.32", - "stop": "10:11.88", - "speaker": "Tutor", - "dialogue": "Four hours?" - }, - { - "start": "10:12.52", - "stop": "10:16.48", - "speaker": "Tutor", - "dialogue": "So do we have Oh, enough information about time for you to make a prediction yet?" - }, - { - "start": "10:16.60", - "stop": "10:18.08", - "speaker": "Tutor", - "dialogue": "Or do you still need some more information?" - }, - { - "start": "10:20.28", - "stop": "10:20.32", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "10:21.60", - "stop": "10:27.72", - "speaker": "Tutor", - "dialogue": "Um, When I asked about B and C, you said I would need to know the time that it took on the map." - }, - { - "start": "10:28.28", - "stop": "10:36.44", - "speaker": "Tutor", - "dialogue": "So on the graph you read that it takes oneur one hour to travel to B and four hours for the entire journey." - }, - { - "start": "10:37.36", - "stop": "10:45.24", - "speaker": "Tutor", - "dialogue": "Does that help you with enough information to determine where B could be located on the map, or do you fined more elevation?" - }, - { - "start": "10:45.80", - "stop": "10:46.52", - "speaker": "Student", - "dialogue": "I need more." - }, - { - "start": "10:46.76", - "stop": "10:47.68", - "speaker": "Tutor", - "dialogue": "What else would you need?" - }, - { - "start": "10:49.28", - "stop": "10:52.80", - "speaker": "Student", - "dialogue": "Ah, distance, okay?" - }, - { - "start": "10:54.12", - "stop": "10:55.28", - "speaker": "Tutor", - "dialogue": "So let's look at the graph." - }, - { - "start": "10:55.52", - "stop": "10:58.56", - "speaker": "Tutor", - "dialogue": "Does the graph give us any information about distance of point?" - }, - { - "start": "10:58.88", - "stop": "11:04.44", - "speaker": "Student", - "dialogue": "B, ah, yeah, it's at Uh, fifty miles, okay?" - }, - { - "start": "11:05.92", - "stop": "11:08.52", - "speaker": "Tutor", - "dialogue": "So, is that enough information for you, or do you want more?" - }, - { - "start": "11:09.76", - "stop": "11:16.40", - "speaker": "Student", - "dialogue": "Uh, I want to know how it like correlates with the." - }, - { - "start": "11:16.84", - "stop": "11:20.88", - "speaker": "Tutor", - "dialogue": "Ck, and that's what I'm asking you to do is to predict it." - }, - { - "start": "11:21.08", - "stop": "11:24.52", - "speaker": "Tutor", - "dialogue": "you're going to take your best estimate of where you think B would be located." - }, - { - "start": "11:28.92", - "stop": "11:29.16", - "speaker": "Tutor", - "dialogue": "Ah." - }, - { - "start": "11:39.60", - "stop": "11:40.56", - "speaker": "Student", - "dialogue": "Maybe around?" - }, - { - "start": "11:42.60", - "stop": "11:46.84", - "speaker": "Tutor", - "dialogue": "Here, okay, cool, Put a point there and it's it's a prediction." - }, - { - "start": "11:46.88", - "stop": "11:47.80", - "speaker": "Tutor", - "dialogue": "It's an estimate right." - }, - { - "start": "11:48.28", - "stop": "11:50.48", - "speaker": "Tutor", - "dialogue": "Yeah, so now let's explore it a little bit more." - }, - { - "start": "11:51.60", - "stop": "11:55.36", - "speaker": "Tutor", - "dialogue": "Why would it make sense for B to be located there?" - }, - { - "start": "11:56.24", - "stop": "11:58.16", - "speaker": "Student", - "dialogue": "Ah, well, I'm not sure." - }, - { - "start": "11:58.40", - "stop": "11:59.52", - "speaker": "Student", - "dialogue": "I just took a guess." - }, - { - "start": "12:00.88", - "stop": "12:15.88", - "speaker": "Student", - "dialogue": "I just assumed, since it takes an hour so to get from A to b, so I just put a point like near, like closer to A than the rest of the points." - }, - { - "start": "12:17.68", - "stop": "12:20.72", - "speaker": "Tutor", - "dialogue": "Okay, so you knew that it didn't make sense to put B right here?" - }, - { - "start": "12:21.48", - "stop": "12:44.92", - "speaker": "Student", - "dialogue": "Yeah, I mean well, I guess, but like since, like the journey is like from here all the way to here, But the problem is I don't know the distance, like of the whole, like in, like in relation to this, like mapy." - }, - { - "start": "12:45.48", - "stop": "12:48.16", - "speaker": "Tutor", - "dialogue": "Do we know the distance of the total trip?" - }, - { - "start": "12:49.68", - "stop": "12:55.84", - "speaker": "Student", - "dialogue": "Uh, it's a little above a hundred and fifty." - }, - { - "start": "12:56.16", - "stop": "12:58.36", - "speaker": "Tutor", - "dialogue": "Yeah, and for our purposes, it's okay to estimate." - }, - { - "start": "12:59.12", - "stop": "12:59.36", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "12:59.44", - "stop": "13:08.96", - "speaker": "Tutor", - "dialogue": "So if it's about a hundred and fifty miles, if you knew that the entire trip was a hundred and fifty miles, is that enough information to estimate where point B would?" - }, - { - "start": "13:09.00", - "stop": "13:44.24", - "speaker": "Student", - "dialogue": "Be, ah, I would say not necessarily, because the only information I can get from that is that from A to F is that it's about a hundred fifty, but I wouldn't know necessarily where the middle points are, because it's this is like a road or like a path, and there's like bumps like there's like turns, so I don't know how that works 'cause it's not like a straight path or anything." - }, - { - "start": "13:44.64", - "stop": "13:44.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "13:45.20", - "stop": "13:46.12", - "speaker": "Tutor", - "dialogue": "Yep, and you're right." - }, - { - "start": "13:46.24", - "stop": "13:55.04", - "speaker": "Tutor", - "dialogue": "we don't know the exact like scale factor of the map, Which is what I hear you saying that maybe you would like to really know like how much distance" - }, - { - "start": "13:55.16", - "stop": "13:55.84", - "speaker": "Tutor", - "dialogue": "this is on the map" - }, - { - "start": "13:56.00", - "stop": "13:57.64", - "speaker": "Tutor", - "dialogue": "To be able to put it, Is that what you're saying?" - }, - { - "start": "13:58.44", - "stop": "13:58.76", - "speaker": "Student", - "dialogue": "Uhh, yeah." - }, - { - "start": "13:59.12", - "stop": "14:01.68", - "speaker": "Tutor", - "dialogue": "Yeah, and it's okay to not know the exacts." - }, - { - "start": "14:01.72", - "stop": "14:04.32", - "speaker": "Tutor", - "dialogue": "I'm just going to ask you to estimate for what we're doing today." - }, - { - "start": "14:04.96", - "stop": "14:11.20", - "speaker": "Tutor", - "dialogue": "Okay, Ok, So now, if you keep going, where do you think Point C would be located, And why?" - }, - { - "start": "14:13.20", - "stop": "14:15.16", - "speaker": "Student", - "dialogue": "I think it would." - }, - { - "start": "14:15.24", - "stop": "14:16.84", - "speaker": "Tutor", - "dialogue": "Be close." - }, - { - "start": "14:17.88", - "stop": "14:25.52", - "speaker": "Student", - "dialogue": "But the thing is that from B to C like it's a a flat line." - }, - { - "start": "14:26.88", - "stop": "14:39.24", - "speaker": "Student", - "dialogue": "So that's there's like there's a thirty minute like interval or whatever, But um, there's no like change in distance." - }, - { - "start": "14:40.08", - "stop": "14:40.32", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "14:42.12", - "stop": "14:42.36", - "speaker": "Tutor", - "dialogue": "What do?" - }, - { - "start": "14:42.52", - "stop": "14:47.00", - "speaker": "Student", - "dialogue": "That, so they would be the same point." - }, - { - "start": "14:48.56", - "stop": "14:50.04", - "speaker": "Tutor", - "dialogue": "Why would they be at the same point?" - }, - { - "start": "14:51.08", - "stop": "14:53.00", - "speaker": "Student", - "dialogue": "Cause there's no change in distance." - }, - { - "start": "14:53.92", - "stop": "15:02.40", - "speaker": "Tutor", - "dialogue": "Ah, so distance is staying the same from B to C. Ah, Yes, and time is time also staying the same from B to C?" - }, - { - "start": "15:02.60", - "stop": "15:03.36", - "speaker": "Tutor", - "dialogue": "Or is it changing?" - }, - { - "start": "15:04.80", - "stop": "15:06.40", - "speaker": "Student", - "dialogue": "Time changes." - }, - { - "start": "15:07.08", - "stop": "15:09.40", - "speaker": "Tutor", - "dialogue": "Is time increasing or decreasing?" - }, - { - "start": "15:11.88", - "stop": "15:13.64", - "speaker": "Student", - "dialogue": "Well, it increases." - }, - { - "start": "15:13.92", - "stop": "15:14.12", - "speaker": "Student", - "dialogue": "wait." - }, - { - "start": "15:14.32", - "stop": "15:25.08", - "speaker": "Student", - "dialogue": "No, wait, okay, uh, time increases." - }, - { - "start": "15:26.44", - "stop": "15:27.72", - "speaker": "Tutor", - "dialogue": "Yeah, cool stuff." - }, - { - "start": "15:27.76", - "stop": "15:28.00", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "15:28.04", - "stop": "15:28.76", - "speaker": "Tutor", - "dialogue": "I'm going to type" - }, - { - "start": "15:28.88", - "stop": "15:35.12", - "speaker": "Tutor", - "dialogue": "some words here so that your brain can do some more of these mental aerobics." - }, - { - "start": "15:35.20", - "stop": "15:36.68", - "speaker": "Tutor", - "dialogue": "Are you ready Ks?" - }, - { - "start": "15:38.76", - "stop": "15:47.00", - "speaker": "Tutor", - "dialogue": "My hair disappeared and you've started describing M using these words, too." - }, - { - "start": "15:47.20", - "stop": "15:48.96", - "speaker": "Tutor", - "dialogue": "I'm going challenge you to use them each time" - }, - { - "start": "15:49.04", - "stop": "15:57.60", - "speaker": "Tutor", - "dialogue": "I ask you why or what's going on in a section so increasing, decreasing and staying the same." - }, - { - "start": "16:00.80", - "stop": "16:16.80", - "speaker": "Tutor", - "dialogue": "So from B to C in one complete sentence, explain how distance and how time are changing." - }, - { - "start": "16:17.00", - "stop": "16:19.04", - "speaker": "Tutor", - "dialogue": "Oops, I want that to be purple." - }, - { - "start": "16:23.60", - "stop": "16:25.56", - "speaker": "Student", - "dialogue": "So do I type this or do" - }, - { - "start": "16:25.72", - "stop": "16:26.24", - "speaker": "Student", - "dialogue": "I say it?" - }, - { - "start": "16:27.00", - "stop": "16:30.92", - "speaker": "Tutor", - "dialogue": "You can type it, or you can say it, and I'll type what you say." - }, - { - "start": "16:32.72", - "stop": "17:07.88", - "speaker": "Student", - "dialogue": "Okay, ah, okay." - }, - { - "start": "17:09.44", - "stop": "17:11.32", - "speaker": "Tutor", - "dialogue": "Okay, so read out loud what you typed." - }, - { - "start": "17:12.08", - "stop": "17:16.16", - "speaker": "Student", - "dialogue": "A, from B to C, the distance stays the same while time increases." - }, - { - "start": "17:16.44", - "stop": "17:35.24", - "speaker": "Tutor", - "dialogue": "Ah, so distance and time are both changing in some way from B to C, and your sentence here describes how they're changing in relation to each other from B to C, and that justifies point B and C being the same point." - }, - { - "start": "17:36.68", - "stop": "17:44.08", - "speaker": "Tutor", - "dialogue": "Yes, I want you to do the same thing for point for the section of A to B. What's going on from A to B?" - }, - { - "start": "17:45.08", - "stop": "17:57.16", - "speaker": "Tutor", - "dialogue": "Okay, it is popping up right here in the middle O you." - }, - { - "start": "17:57.52", - "stop": "18:00.36", - "speaker": "Tutor", - "dialogue": "and if you want to make it a little, I can make it a little bigger for you if you wanta." - }, - { - "start": "18:03.48", - "stop": "18:04.20", - "speaker": "Student", - "dialogue": "Okay, thank you." - }, - { - "start": "18:04.40", - "stop": "18:04.76", - "speaker": "Student", - "dialogue": "Uhhuh." - }, - { - "start": "18:28.96", - "stop": "18:30.80", - "speaker": "Tutor", - "dialogue": "Okay, I read it out." - }, - { - "start": "18:30.96", - "stop": "18:31.12", - "speaker": "Tutor", - "dialogue": "ough." - }, - { - "start": "18:31.88", - "stop": "18:34.24", - "speaker": "Student", - "dialogue": "From A to B, distance and time increase." - }, - { - "start": "18:35.04", - "stop": "18:37.52", - "speaker": "Tutor", - "dialogue": "Ah, so from A to B, they're both increasing." - }, - { - "start": "18:38.04", - "stop": "18:38.24", - "speaker": "Tutor", - "dialogue": "Coo?" - }, - { - "start": "18:38.52", - "stop": "18:45.72", - "speaker": "Tutor", - "dialogue": "Yeah, do you know how much A to B, how much distance is increasing, or how much time is increasing?" - }, - { - "start": "18:46.80", - "stop": "18:53.60", - "speaker": "Student", - "dialogue": "Ah, an hour passes between the two points, and Ah, from A to B, it's fifty miles." - }, - { - "start": "18:53.96", - "stop": "18:57.24", - "speaker": "Tutor", - "dialogue": "Co, so can you add that back into your sentence?" - }, - { - "start": "18:57.80", - "stop": "19:01.16", - "speaker": "Tutor", - "dialogue": "More detail about the units for how it's changing." - }, - { - "start": "19:04.68", - "stop": "19:06.72", - "speaker": "Tutor", - "dialogue": "Oh, ah, that's okay." - }, - { - "start": "19:07.60", - "stop": "19:15.12", - "speaker": "Tutor", - "dialogue": "I'll cover that one back up and I'm going to move yours down to here and you can talk." - }, - { - "start": "19:49.68", - "stop": "19:51.76", - "speaker": "Tutor", - "dialogue": "Okay, Aright, what does it say?" - }, - { - "start": "19:52.60", - "stop": "19:57.96", - "speaker": "Student", - "dialogue": "Uh, from Aighty V, distance increases by fifty miles and time increases by an hourk." - }, - { - "start": "19:58.40", - "stop": "20:09.16", - "speaker": "Tutor", - "dialogue": "So if we go back and look at your map, do you think this is a reasonable estimate to show that distance increasing by about fifty miles and time increasing by about an hour of this journey?" - }, - { - "start": "20:12.00", - "stop": "20:21.72", - "speaker": "Student", - "dialogue": "I think it's reasonable, but maybe it could be moved down" - }, - { - "start": "20:21.88", - "stop": "20:37.00", - "speaker": "Student", - "dialogue": "a little be'cause, fifty would be a like around a third of the path, since it's around a hundred and fifty miles total." - }, - { - "start": "20:37.52", - "stop": "20:37.76", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "20:38.60", - "stop": "20:43.56", - "speaker": "Tutor", - "dialogue": "So you're thinking that that your estimate was a little bit too big, or too, or too, ah." - }, - { - "start": "20:43.72", - "stop": "20:48.76", - "speaker": "Student", - "dialogue": "Sor, a little too like, Uh, short, okay?" - }, - { - "start": "20:50.24", - "stop": "20:53.16", - "speaker": "Tutor", - "dialogue": "We can, actually, I think select it and grab it." - }, - { - "start": "20:53.32", - "stop": "20:54.28", - "speaker": "Tutor", - "dialogue": "You don't have to rewrite it." - }, - { - "start": "20:54.76", - "stop": "20:56.48", - "speaker": "Tutor", - "dialogue": "Yeah, you can move it if you want." - }, - { - "start": "20:56.72", - "stop": "21:03.60", - "speaker": "Tutor", - "dialogue": "you have to move the point and your labels separately, but yeah, cool, you can move it to where you think you want to revise your point." - }, - { - "start": "21:04.80", - "stop": "21:05.96", - "speaker": "Student", - "dialogue": "I think around here." - }, - { - "start": "21:10.52", - "stop": "21:11.60", - "speaker": "Tutor", - "dialogue": "Let's do the same thing." - }, - { - "start": "21:12.24", - "stop": "21:14.20", - "speaker": "Tutor", - "dialogue": "I'm going to move this text box out of the way." - }, - { - "start": "21:14.72", - "stop": "21:16.72", - "speaker": "Tutor", - "dialogue": "Give you another one for up here." - }, - { - "start": "21:17.80", - "stop": "21:22.52", - "speaker": "Tutor", - "dialogue": "What's going on from C to D with the variables in this situation?" - }, - { - "start": "21:25.96", - "stop": "21:29.68", - "speaker": "Student", - "dialogue": "It's similar to A to." - }, - { - "start": "21:30.16", - "stop": "21:33.00", - "speaker": "Tutor", - "dialogue": "B, cool" - }, - { - "start": "21:33.40", - "stop": "21:33.68", - "speaker": "Tutor", - "dialogue": "type." - }, - { - "start": "21:33.80", - "stop": "21:35.52", - "speaker": "Tutor", - "dialogue": "what's happening from C to D?" - }, - { - "start": "21:35.84", - "stop": "21:36.40", - "speaker": "Tutor", - "dialogue": "What's going?" - }, - { - "start": "21:36.44", - "stop": "22:20.08", - "speaker": "Student", - "dialogue": "On okayl." - }, - { - "start": "22:20.60", - "stop": "22:20.80", - "speaker": "Tutor", - "dialogue": "I'll" - }, - { - "start": "22:20.88", - "stop": "22:21.36", - "speaker": "Student", - "dialogue": "Resize." - }, - { - "start": "22:21.40", - "stop": "22:21.44", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "22:21.80", - "stop": "22:21.84", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "22:22.00", - "stop": "22:22.16", - "speaker": "Tutor", - "dialogue": "Then." - }, - { - "start": "22:22.24", - "stop": "22:22.28", - "speaker": "Student", - "dialogue": "You?" - }, - { - "start": "22:22.48", - "stop": "22:22.68", - "speaker": "Tutor", - "dialogue": "Read." - }, - { - "start": "22:22.80", - "stop": "22:22.92", - "speaker": "Student", - "dialogue": "Your." - }, - { - "start": "22:23.00", - "stop": "22:23.28", - "speaker": "Tutor", - "dialogue": "Words." - }, - { - "start": "22:23.32", - "stop": "22:23.36", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "22:23.48", - "stop": "22:23.52", - "speaker": "Tutor", - "dialogue": "You?" - }, - { - "start": "22:23.64", - "stop": "22:23.92", - "speaker": "Student", - "dialogue": "Wrote." - }, - { - "start": "22:24.80", - "stop": "22:25.00", - "speaker": "Tutor", - "dialogue": "Uhh." - }, - { - "start": "22:25.08", - "stop": "22:29.92", - "speaker": "Student", - "dialogue": "From C to D, distance increases by fifty miles, and time increases by about an hour." - }, - { - "start": "22:30.32", - "stop": "22:31.20", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "22:31.28", - "stop": "22:35.92", - "speaker": "Tutor", - "dialogue": "So it's The car is moving in the same way in C to D as it was from A to." - }, - { - "start": "22:36.00", - "stop": "22:40.00", - "speaker": "Student", - "dialogue": "B, ah, yeahay." - }, - { - "start": "22:40.64", - "stop": "22:41.80", - "speaker": "Tutor", - "dialogue": "What about D to E?" - }, - { - "start": "22:42.32", - "stop": "22:43.32", - "speaker": "Tutor", - "dialogue": "what's happening there?" - }, - { - "start": "22:47.52", - "stop": "22:48.52", - "speaker": "Tutor", - "dialogue": "Okay, I'm going to." - }, - { - "start": "22:48.68", - "stop": "22:49.60", - "speaker": "Tutor", - "dialogue": "I'll move this for you." - }, - { - "start": "22:50.36", - "stop": "22:52.32", - "speaker": "Tutor", - "dialogue": "Give you another one to put up here." - }, - { - "start": "23:57.56", - "stop": "24:22.04", - "speaker": "Tutor", - "dialogue": "Y cool?" - }, - { - "start": "24:22.16", - "stop": "24:23.52", - "speaker": "Tutor", - "dialogue": "I'm gonna make it bigger" - }, - { - "start": "24:23.60", - "stop": "24:26.28", - "speaker": "Tutor", - "dialogue": "so I can see Col, read your words." - }, - { - "start": "24:27.32", - "stop": "24:32.92", - "speaker": "Student", - "dialogue": "From D, C, E, distance increases about a hundred and twenty miles, and time increases about an hour and a half." - }, - { - "start": "24:34.12", - "stop": "24:39.68", - "speaker": "Tutor", - "dialogue": "Show me how you see the hundred and forty miles that it increases, and how you see the hour and a half." - }, - { - "start": "24:40.52", - "stop": "24:42.96", - "speaker": "Tutor", - "dialogue": "Thisn't, this topic here right, Because it's not lines." - }, - { - "start": "24:43.00", - "stop": "24:44.24", - "speaker": "Tutor", - "dialogue": "I just want to see how you're seen it." - }, - { - "start": "24:45.12", - "stop": "24:45.76", - "speaker": "Student", - "dialogue": "Oh, I didn't" - }, - { - "start": "24:46.04", - "stop": "24:50.00", - "speaker": "Student", - "dialogue": "uhh, I. I was looking at the milestrong." - }, - { - "start": "24:50.40", - "stop": "24:51.80", - "speaker": "Student", - "dialogue": "I didn't meean, a hundred and forty." - }, - { - "start": "24:53.72", - "stop": "24:53.92", - "speaker": "Tutor", - "dialogue": "It's" - }, - { - "start": "24:54.96", - "stop": "24:58.64", - "speaker": "Student", - "dialogue": "Around uh, forty." - }, - { - "start": "24:59.92", - "stop": "25:02.96", - "speaker": "Tutor", - "dialogue": "But E is at a hundred and forty, so how come?" - }, - { - "start": "25:03.08", - "stop": "25:04.32", - "speaker": "Tutor", - "dialogue": "Oh, yeah, a hundred and H." - }, - { - "start": "25:04.48", - "stop": "25:09.32", - "speaker": "Student", - "dialogue": "This is, but that's the distance from A to E, not d. t. Ah." - }, - { - "start": "25:09.56", - "stop": "25:14.72", - "speaker": "Tutor", - "dialogue": "Okay, yeah, a hundred and forty is keeping track of a different section of the journey from start." - }, - { - "start": "25:15.12", - "stop": "25:27.84", - "speaker": "Tutor", - "dialogue": "Okay, So D to E, distance increases and time increases, And you also said that distance increases and time increases from A to B and C to D. How come?" - }, - { - "start": "25:27.88", - "stop": "25:35.52", - "speaker": "Tutor", - "dialogue": "It's a squiggly line from D to E, and it's more of a straight line, A to B and C to D. Uhh." - }, - { - "start": "25:38.84", - "stop": "25:42.92", - "speaker": "Student", - "dialogue": "So from A to B, the squiggly line." - }, - { - "start": "25:43.12", - "stop": "25:43.44", - "speaker": "Student", - "dialogue": "Oh, wait." - }, - { - "start": "25:43.60", - "stop": "25:44.84", - "speaker": "Student", - "dialogue": "okay, from A to B" - }, - { - "start": "25:45.04", - "stop": "25:47.56", - "speaker": "Student", - "dialogue": "it's a straight line because I guess" - }, - { - "start": "25:48.56", - "stop": "25:55.64", - "speaker": "Student", - "dialogue": "it's like consistent, but maybe from Dd. E wasn't consistent." - }, - { - "start": "25:56.72", - "stop": "26:00.44", - "speaker": "Tutor", - "dialogue": "Yeah, something is consistent and something is not consistent." - }, - { - "start": "26:00.96", - "stop": "26:03.72", - "speaker": "Tutor", - "dialogue": "What is the it that you're saying is consistent?" - }, - { - "start": "26:07.96", - "stop": "26:28.44", - "speaker": "Tutor", - "dialogue": "Ah, A right." - }, - { - "start": "26:28.52", - "stop": "26:29.44", - "speaker": "Tutor", - "dialogue": "Which one are you saying?" - }, - { - "start": "26:29.72", - "stop": "26:33.12", - "speaker": "Tutor", - "dialogue": "The time is consistent for from A to B or C to." - }, - { - "start": "26:33.20", - "stop": "26:40.52", - "speaker": "Student", - "dialogue": "D, I think time is consistent for all of." - }, - { - "start": "26:40.60", - "stop": "26:44.32", - "speaker": "Tutor", - "dialogue": "It okay, so let's go back and'm not sure." - }, - { - "start": "26:44.48", - "stop": "26:45.56", - "speaker": "Tutor", - "dialogue": "Oh, I love it." - }, - { - "start": "26:45.88", - "stop": "26:49.80", - "speaker": "Tutor", - "dialogue": "So right now you're like something's consistent." - }, - { - "start": "26:49.96", - "stop": "26:50.72", - "speaker": "Tutor", - "dialogue": "Not sure what it is?" - }, - { - "start": "26:50.84", - "stop": "26:51.68", - "speaker": "Tutor", - "dialogue": "I think it's time." - }, - { - "start": "26:51.92", - "stop": "26:57.28", - "speaker": "Tutor", - "dialogue": "Maybe it's not, and all of this like back and forth that your brain is doing right now is awesome." - }, - { - "start": "26:57.80", - "stop": "27:06.60", - "speaker": "Tutor", - "dialogue": "It's literally right now in the moment of making new connections and trying to make sense of what's happening, so it feels a little uncomfortable." - }, - { - "start": "27:06.84", - "stop": "27:10.00", - "speaker": "Tutor", - "dialogue": "And remember when I said when I ask you questions, It doesn't mean that you're wrong." - }, - { - "start": "27:10.72", - "stop": "27:16.56", - "speaker": "Tutor", - "dialogue": "I want to ask you some specific questions because I want to help your brain make that connection right" - }, - { - "start": "27:16.64", - "stop": "27:16.80", - "speaker": "Tutor", - "dialogue": "now." - }, - { - "start": "27:17.72", - "stop": "27:18.00", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "27:19.68", - "stop": "27:21.24", - "speaker": "Tutor", - "dialogue": "Yes, so don't panic." - }, - { - "start": "27:21.28", - "stop": "27:22.72", - "speaker": "Tutor", - "dialogue": "I'm like, Oh, my gosh, she's asking me questions." - }, - { - "start": "27:22.72", - "stop": "27:23.20", - "speaker": "Tutor", - "dialogue": "What's the answer?" - }, - { - "start": "27:23.20", - "stop": "27:24.04", - "speaker": "Tutor", - "dialogue": "I don't know what the answer is." - }, - { - "start": "27:24.12", - "stop": "27:24.40", - "speaker": "Tutor", - "dialogue": "I don't." - }, - { - "start": "27:24.84", - "stop": "27:25.36", - "speaker": "Tutor", - "dialogue": "It's cool." - }, - { - "start": "27:25.56", - "stop": "27:27.48", - "speaker": "Tutor", - "dialogue": "I just want you to say whatever comes to mind." - }, - { - "start": "27:28.48", - "stop": "27:47.08", - "speaker": "Tutor", - "dialogue": "Okay, Okay, so from, I'm going to move this one out of the way and pull up A to B. So you said, I think maybe time is consistent, And if it's consistent then it would mean that it's staying the same." - }, - { - "start": "27:49.00", - "stop": "28:01.80", - "speaker": "Tutor", - "dialogue": "But you wrote from A to B. Time increases, So can time increase and stay the same." - }, - { - "start": "28:03.72", - "stop": "28:19.12", - "speaker": "Student", - "dialogue": "Ah, I, I didn't realize that Uh, consistent also means uh, like constant or stays the same." - }, - { - "start": "28:19.88", - "stop": "28:25.56", - "speaker": "Tutor", - "dialogue": "Yeah, and I'm going to add that to this purple word bank here that you just used another one." - }, - { - "start": "28:25.88", - "stop": "28:33.48", - "speaker": "Tutor", - "dialogue": "You said, Constant and constant is something that we use to describe things that are happening on graphs and in math a lot." - }, - { - "start": "28:34.36", - "stop": "28:43.96", - "speaker": "Tutor", - "dialogue": "And if something is staying constant in this situation, that means that something is staying the same and you' you're right." - }, - { - "start": "28:44.60", - "stop": "28:50.08", - "speaker": "Tutor", - "dialogue": "Yes, something is staying the same from A to B. That's what's making it constant." - }, - { - "start": "28:50.76", - "stop": "28:56.32", - "speaker": "Tutor", - "dialogue": "That's what's making this linear line or this smooth relationship here." - }, - { - "start": "28:57.24", - "stop": "29:01.60", - "speaker": "Tutor", - "dialogue": "But from D to E, that same thing is not constant." - }, - { - "start": "29:02.64", - "stop": "29:08.64", - "speaker": "Tutor", - "dialogue": "It's changing and you've already said, and you're correct on these" - }, - { - "start": "29:09.04", - "stop": "29:11.52", - "speaker": "Tutor", - "dialogue": "all these things that you've written about distance and time." - }, - { - "start": "29:11.80", - "stop": "29:12.52", - "speaker": "Tutor", - "dialogue": "Those are correct." - }, - { - "start": "29:14.32", - "stop": "29:18.88", - "speaker": "Tutor", - "dialogue": "So what is the thing that is staying the same or?" - }, - { - "start": "29:19.48", - "stop": "29:24.12", - "speaker": "Student", - "dialogue": "Not a the relationship." - }, - { - "start": "29:24.60", - "stop": "29:27.16", - "speaker": "Tutor", - "dialogue": "Y, it is the relationship and it has a special name." - }, - { - "start": "29:27.20", - "stop": "29:28.08", - "speaker": "Tutor", - "dialogue": "in this situation." - }, - { - "start": "29:30.00", - "stop": "29:33.12", - "speaker": "Tutor", - "dialogue": "What is a relationship of miles to hours called?" - }, - { - "start": "29:38.32", - "stop": "29:40.28", - "speaker": "Tutor", - "dialogue": "so T. I ask you another deep question." - }, - { - "start": "29:42.84", - "stop": "29:43.28", - "speaker": "Tutor", - "dialogue": "This car." - }, - { - "start": "29:45.16", - "stop": "29:50.72", - "speaker": "Tutor", - "dialogue": "can you tell how it's travelling on the map by what we know about distance and time?" - }, - { - "start": "29:54.00", - "stop": "29:56.44", - "speaker": "Student", - "dialogue": "Way, can you repeat that Yup." - }, - { - "start": "29:56.76", - "stop": "30:01.80", - "speaker": "Tutor", - "dialogue": "Yup and remember, your brain's in the phase of making sense right now, so it's goning to feel uncomfortable." - }, - { - "start": "30:02.08", - "stop": "30:05.32", - "speaker": "Tutor", - "dialogue": "Resist the urge to have to feel like you know the right answer right now." - }, - { - "start": "30:05.64", - "stop": "30:07.36", - "speaker": "Tutor", - "dialogue": "Okay, okay, allow youer." - }, - { - "start": "30:07.48", - "stop": "30:10.80", - "speaker": "Tutor", - "dialogue": "like the muscles to grow in your brain If they were muscles." - }, - { - "start": "30:12.44", - "stop": "30:15.68", - "speaker": "Tutor", - "dialogue": "All right, So you've talked about." - }, - { - "start": "30:15.72", - "stop": "30:17.52", - "speaker": "Tutor", - "dialogue": "I'm going to recap some of the things that you've said" - }, - { - "start": "30:18.08", - "stop": "30:33.04", - "speaker": "Tutor", - "dialogue": "That this is a journey with a car driving on it and it's driving around this road, and this graph is keeping track of how distance is changing, so we know how much distance has increased or" - }, - { - "start": "30:33.08", - "stop": "30:39.52", - "speaker": "Tutor", - "dialogue": "if it's stayed the same, And you have talked about how time is changing, so we know how much time is changing or" - }, - { - "start": "30:39.56", - "stop": "30:52.44", - "speaker": "Tutor", - "dialogue": "if it's staying the same, and from B to C, you said the distance stays the same, but the time increases, So what's going on with the car from B to?" - }, - { - "start": "30:52.56", - "stop": "30:55.56", - "speaker": "Student", - "dialogue": "C, the car stops." - }, - { - "start": "30:55.76", - "stop": "31:00.96", - "speaker": "Tutor", - "dialogue": "The car stops, so dig into that thinking some more." - }, - { - "start": "31:01.28", - "stop": "31:07.68", - "speaker": "Tutor", - "dialogue": "If the car is stopped from b to C, is the car stopped from A to B?" - }, - { - "start": "31:08.84", - "stop": "31:10.16", - "speaker": "Tutor", - "dialogue": "No, how do you know" - }, - { - "start": "31:10.28", - "stop": "31:10.80", - "speaker": "Tutor", - "dialogue": "it's moving?" - }, - { - "start": "31:11.88", - "stop": "31:13.68", - "speaker": "Student", - "dialogue": "Because a distance changes." - }, - { - "start": "31:14.24", - "stop": "31:20.32", - "speaker": "Tutor", - "dialogue": "O, and is the car moving in the same way from D to e, or in a different way?" - }, - { - "start": "31:21.28", - "stop": "31:22.40", - "speaker": "Student", - "dialogue": "Ah, in a different way." - }, - { - "start": "31:22.60", - "stop": "31:23.76", - "speaker": "Tutor", - "dialogue": "What would be different about?" - }, - { - "start": "31:23.80", - "stop": "31:25.92", - "speaker": "Student", - "dialogue": "It, it's not." - }, - { - "start": "31:26.80", - "stop": "31:31.72", - "speaker": "Student", - "dialogue": "Ah, I guess maybe the car takes" - }, - { - "start": "31:34.56", - "stop": "31:38.24", - "speaker": "Student", - "dialogue": "a. The." - }, - { - "start": "31:38.76", - "stop": "31:39.04", - "speaker": "Student", - "dialogue": "Is it?" - }, - { - "start": "31:42.92", - "stop": "31:43.72", - "speaker": "Student", - "dialogue": "I'm not sure." - }, - { - "start": "31:44.52", - "stop": "31:44.56", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "31:45.08", - "stop": "31:45.52", - "speaker": "Tutor", - "dialogue": "You are?" - }, - { - "start": "31:45.68", - "stop": "31:46.80", - "speaker": "Tutor", - "dialogue": "You're so close to it." - }, - { - "start": "31:47.20", - "stop": "31:48.32", - "speaker": "Tutor", - "dialogue": "Just give it some time." - }, - { - "start": "31:50.12", - "stop": "31:51.28", - "speaker": "Tutor", - "dialogue": "Picture the car moving." - }, - { - "start": "31:53.44", - "stop": "31:54.20", - "speaker": "Tutor", - "dialogue": "It's stopping." - }, - { - "start": "31:55.36", - "stop": "31:59.72", - "speaker": "Tutor", - "dialogue": "It's moving, but it's bumpy here." - }, - { - "start": "32:01.44", - "stop": "32:04.24", - "speaker": "Tutor", - "dialogue": "And then you've also said something is staying constant." - }, - { - "start": "32:05.28", - "stop": "32:07.08", - "speaker": "Tutor", - "dialogue": "Something is not staying constant." - }, - { - "start": "32:09.52", - "stop": "32:13.68", - "speaker": "Student", - "dialogue": "Ah, is it 'cause the relationship isn't like linear." - }, - { - "start": "32:14.44", - "stop": "32:22.60", - "speaker": "Tutor", - "dialogue": "Yeah, and if it's linear, it means that it's constant right here, so that Yeah, Yeah, so would we be?" - }, - { - "start": "32:22.84", - "stop": "32:24.76", - "speaker": "Tutor", - "dialogue": "You said it stopped here and it's moving here." - }, - { - "start": "32:25.00", - "stop": "32:27.56", - "speaker": "Tutor", - "dialogue": "Would we be able to tell how fast the car is going?" - }, - { - "start": "32:29.04", - "stop": "32:35.88", - "speaker": "Student", - "dialogue": "Ah, uh, I don't think you can from." - }, - { - "start": "32:36.48", - "stop": "32:37.36", - "speaker": "Student", - "dialogue": "I meanh, wait." - }, - { - "start": "32:37.64", - "stop": "32:41.56", - "speaker": "Student", - "dialogue": "uh, so fifty miles per hour?" - }, - { - "start": "32:42.12", - "stop": "32:42.28", - "speaker": "Student", - "dialogue": "wait?" - }, - { - "start": "32:42.40", - "stop": "32:47.52", - "speaker": "Student", - "dialogue": "No, Actually, No, because it's not like constant the whole time." - }, - { - "start": "32:48.20", - "stop": "32:48.84", - "speaker": "Student", - "dialogue": "Ah no." - }, - { - "start": "32:51.56", - "stop": "32:53.52", - "speaker": "Tutor", - "dialogue": "So cool of doing all that thinking out loud." - }, - { - "start": "32:53.64", - "stop": "32:54.24", - "speaker": "Tutor", - "dialogue": "That was awesome." - }, - { - "start": "32:55.00", - "stop": "32:58.32", - "speaker": "Tutor", - "dialogue": "So fifty miles per hour, Where did that come from?" - }, - { - "start": "32:59.84", - "stop": "33:04.88", - "speaker": "Student", - "dialogue": "Uh, I was just looking from A to B, but then I realized that the rest of the Uh" - }, - { - "start": "33:06.56", - "stop": "33:13.04", - "speaker": "Student", - "dialogue": "graph isn't like constant the same way from A to." - }, - { - "start": "33:13.16", - "stop": "33:25.76", - "speaker": "Tutor", - "dialogue": "B, so you're saying A to B is constant and it's fifty miles an hour from A to B. Mhm, but from B to C, how fast the car is going is different." - }, - { - "start": "33:26.80", - "stop": "33:27.96", - "speaker": "Tutor", - "dialogue": "Yeah, it's not constant there." - }, - { - "start": "33:28.08", - "stop": "33:32.24", - "speaker": "Tutor", - "dialogue": "Okay, cool, so can we figure out how fast the car is going in each of these sections then?" - }, - { - "start": "33:33.80", - "stop": "33:38.68", - "speaker": "Student", - "dialogue": "Uh, I don't know how to." - }, - { - "start": "33:39.16", - "stop": "33:43.92", - "speaker": "Tutor", - "dialogue": "For D to e, okay, but you do know for the other sections." - }, - { - "start": "33:46.96", - "stop": "33:52.40", - "speaker": "Student", - "dialogue": "Well, E to f would probably be like an estimate." - }, - { - "start": "33:52.84", - "stop": "33:54.04", - "speaker": "Tutor", - "dialogue": "Yep, and you can estimate it" - }, - { - "start": "33:54.24", - "stop": "33:54.68", - "speaker": "Tutor", - "dialogue": "It's cool." - }, - { - "start": "33:55.00", - "stop": "34:14.92", - "speaker": "Tutor", - "dialogue": "Do that challenge yourself to label how fast the car is going during these sections of the journey now." - }, - { - "start": "35:51.12", - "stop": "35:51.24", - "speaker": "Student", - "dialogue": "How?" - }, - { - "start": "35:51.32", - "stop": "35:51.36", - "speaker": "Tutor", - "dialogue": "We." - }, - { - "start": "35:51.84", - "stop": "35:51.88", - "speaker": "Student", - "dialogue": "That." - }, - { - "start": "35:52.00", - "stop": "35:52.04", - "speaker": "Tutor", - "dialogue": "Was?" - }, - { - "start": "35:52.12", - "stop": "35:52.36", - "speaker": "Student", - "dialogue": "Cool." - }, - { - "start": "35:52.56", - "stop": "35:53.00", - "speaker": "Tutor", - "dialogue": "We've already." - }, - { - "start": "35:53.12", - "stop": "35:58.40", - "speaker": "Tutor", - "dialogue": "you've already showed me how you know that A to B is fifty miles per hour, and how B to C is zero miles per hour." - }, - { - "start": "35:58.68", - "stop": "36:00.52", - "speaker": "Tutor", - "dialogue": "How did you get sixty miles per hour for E?" - }, - { - "start": "36:00.76", - "stop": "36:27.92", - "speaker": "Student", - "dialogue": "F, well, I'm not sure, but I estimated I guess E. the F is around fifteen minutes, so that means that the distance between those points is around like fifteen miles, so I just I guess converted that to ours." - }, - { - "start": "36:29.12", - "stop": "36:29.32", - "speaker": "Student", - "dialogue": "well." - }, - { - "start": "36:29.92", - "stop": "36:50.84", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, so you're saying that if I know the car went fifteen miles in fifteen minutes, I can use that information to figure out how far the car would go in sixteen minutes if it keeps traveling at the same rate." - }, - { - "start": "36:51.60", - "stop": "36:54.80", - "speaker": "Tutor", - "dialogue": "Yeah, that estimate sounds reasonable." - }, - { - "start": "36:57.24", - "stop": "37:00.84", - "speaker": "Tutor", - "dialogue": "What is this thing you're talking about miles per hour now?" - }, - { - "start": "37:01.96", - "stop": "37:09.20", - "speaker": "Tutor", - "dialogue": "Aha, that's the unit you're using to describe something that's changing what's changing." - }, - { - "start": "37:10.80", - "stop": "37:13.08", - "speaker": "Student", - "dialogue": "Ah, the miles." - }, - { - "start": "37:13.92", - "stop": "37:15.36", - "speaker": "Tutor", - "dialogue": "Miles is morsured in distance." - }, - { - "start": "37:16.52", - "stop": "37:17.88", - "speaker": "Tutor", - "dialogue": "time is measured in hours." - }, - { - "start": "37:19.12", - "stop": "37:22.32", - "speaker": "Tutor", - "dialogue": "You're now starting to think about and keep track of something else" - }, - { - "start": "37:22.60", - "stop": "37:25.40", - "speaker": "Tutor", - "dialogue": "that's measured in units of miles per hour." - }, - { - "start": "37:25.72", - "stop": "37:27.16", - "speaker": "Tutor", - "dialogue": "Do you know what that relationship?" - }, - { - "start": "37:27.48", - "stop": "37:29.12", - "speaker": "Tutor", - "dialogue": "Yeah, do you know what that relationship is called?" - }, - { - "start": "37:29.20", - "stop": "37:32.00", - "speaker": "Tutor", - "dialogue": "What that thing is called a ratio?" - }, - { - "start": "37:32.40", - "stop": "37:38.28", - "speaker": "Tutor", - "dialogue": "It is a ratio and it is a. How fast the car's going." - }, - { - "start": "37:39.08", - "stop": "37:40.40", - "speaker": "Tutor", - "dialogue": "We describe it as the speed." - }, - { - "start": "37:41.12", - "stop": "37:42.96", - "speaker": "Tutor", - "dialogue": "Ah, right." - }, - { - "start": "37:43.04", - "stop": "37:45.96", - "speaker": "Tutor", - "dialogue": "So that's another thing that's changing in this situation." - }, - { - "start": "37:47.88", - "stop": "37:55.28", - "speaker": "Tutor", - "dialogue": "So when you said A to B, the distance increases by fifty miles." - }, - { - "start": "37:55.76", - "stop": "38:00.96", - "speaker": "Tutor", - "dialogue": "time increases by an hour, and then it is consistent." - }, - { - "start": "38:01.92", - "stop": "38:02.60", - "speaker": "Tutor", - "dialogue": "What's the it" - }, - { - "start": "38:03.04", - "stop": "38:06.48", - "speaker": "Tutor", - "dialogue": "That is consistent or constant or staying the same?" - }, - { - "start": "38:07.20", - "stop": "38:07.76", - "speaker": "Tutor", - "dialogue": "The speed?" - }, - { - "start": "38:07.96", - "stop": "38:08.56", - "speaker": "Tutor", - "dialogue": "the speed?" - }, - { - "start": "38:08.80", - "stop": "38:10.04", - "speaker": "Tutor", - "dialogue": "Yeah, so edit your" - }, - { - "start": "38:10.08", - "stop": "38:12.36", - "speaker": "Tutor", - "dialogue": "A to B sentence to add that, Now be caause." - }, - { - "start": "38:12.40", - "stop": "38:14.60", - "speaker": "Tutor", - "dialogue": "you're layering on another level of thinking." - }, - { - "start": "38:16.32", - "stop": "38:17.40", - "speaker": "Student", - "dialogue": "Uh, okay." - }, - { - "start": "38:35.64", - "stop": "38:43.08", - "speaker": "Tutor", - "dialogue": "Cool and then from D to E. so let's pull this one up here." - }, - { - "start": "38:52.04", - "stop": "39:06.16", - "speaker": "Tutor", - "dialogue": "We have distance and the units we're thinking about distance in we have time, and the units we thinking about time in What's going on with speed from D to E, and is it increasing, decreasing, or staying the same?" - }, - { - "start": "39:17.08", - "stop": "39:18.44", - "speaker": "Student", - "dialogue": "Oh, I'm not really sure." - }, - { - "start": "39:19.48", - "stop": "39:19.52", - "speaker": "Tutor", - "dialogue": "So" - }, - { - "start": "39:19.64", - "stop": "39:21.72", - "speaker": "Tutor", - "dialogue": "I'm going to circle back to something that you said early on." - }, - { - "start": "39:22.48", - "stop": "39:29.52", - "speaker": "Tutor", - "dialogue": "Okay When when we were looking at, Why is A to B this straight line and D to E is a bumpy line?" - }, - { - "start": "39:30.68", - "stop": "39:42.08", - "speaker": "Tutor", - "dialogue": "You said something like it is consistent from A to B and it is not consistent from D to E. What is the it you were thinking about?" - }, - { - "start": "39:43.12", - "stop": "39:44.20", - "speaker": "Student", - "dialogue": "Ah, I guess speed." - }, - { - "start": "39:44.52", - "stop": "40:04.16", - "speaker": "Tutor", - "dialogue": "Yeah, speed, so the speed is constant from A to B and B to C and C to D, but it is not constant from D to E. So does that mean that the speed is staying the same, increasing, decreasing, or a little bit of all?" - }, - { - "start": "40:05.52", - "stop": "40:12.60", - "speaker": "Student", - "dialogue": "Well, um, I'm not sure if it's uh, increasing or decreasing, but I know it's not constant." - }, - { - "start": "40:14.24", - "stop": "40:18.68", - "speaker": "Tutor", - "dialogue": "How could we tell if the car was stopped?" - }, - { - "start": "40:19.00", - "stop": "40:21.08", - "speaker": "Tutor", - "dialogue": "What does the graph look like if the car stopped?" - }, - { - "start": "40:22.64", - "stop": "40:29.04", - "speaker": "Student", - "dialogue": "A, the line is flat like there's no change in distance." - }, - { - "start": "40:29.36", - "stop": "40:29.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "40:29.64", - "stop": "40:33.84", - "speaker": "Tutor", - "dialogue": "So do we have any sections on here where there's no change or minimal change in distance?" - }, - { - "start": "40:36.00", - "stop": "40:43.96", - "speaker": "Student", - "dialogue": "Ah, I can't tell if those like small parts are like flat." - }, - { - "start": "40:45.00", - "stop": "40:53.80", - "speaker": "Tutor", - "dialogue": "Yeah, so they may not be completely flat, but the more flat they are, the faster the car's going, or the slower the car's going." - }, - { - "start": "40:54.20", - "stop": "40:54.92", - "speaker": "Tutor", - "dialogue": "Oh, the sloer." - }, - { - "start": "40:55.04", - "stop": "40:55.56", - "speaker": "Tutor", - "dialogue": "the slower." - }, - { - "start": "40:55.72", - "stop": "41:05.16", - "speaker": "Tutor", - "dialogue": "Yeah, so this car speeds up and then it slows down, or maybe stops or almost stops, and then speeds up and then slows down and so on." - }, - { - "start": "41:06.92", - "stop": "41:07.20", - "speaker": "Tutor", - "dialogue": "Okay" - }, - { - "start": "41:07.60", - "stop": "41:15.40", - "speaker": "Tutor", - "dialogue": "So if we go back to your estimates for your points, you said D e were right here, would it make sense for the car to be doing that when it's in New York City?" - }, - { - "start": "41:18.40", - "stop": "41:25.36", - "speaker": "Student", - "dialogue": "Uh, I guess so, bese I, I don't." - }, - { - "start": "41:25.44", - "stop": "41:39.64", - "speaker": "Tutor", - "dialogue": "Know like what's going on in New York City." - }, - { - "start": "41:39.72", - "stop": "41:41.48", - "speaker": "Tutor", - "dialogue": "That would cause a car to speed up." - }, - { - "start": "41:41.60", - "stop": "41:46.84", - "speaker": "Tutor", - "dialogue": "slow down, start and stop traffic." - }, - { - "start": "41:47.40", - "stop": "41:54.52", - "speaker": "Tutor", - "dialogue": "Yeah, if it hits some traffic, it's speed's going to change from." - }, - { - "start": "41:55.88", - "stop": "42:11.32", - "speaker": "Tutor", - "dialogue": "I have one more question for you from A to B. Here on the map, the line is Kirby from A to B Here." - }, - { - "start": "42:13.00", - "stop": "42:15.04", - "speaker": "Tutor", - "dialogue": "it's a straight segment." - }, - { - "start": "42:15.92", - "stop": "42:18.84", - "speaker": "Tutor", - "dialogue": "They both represent the same section of journey." - }, - { - "start": "42:19.52", - "stop": "42:19.96", - "speaker": "Tutor", - "dialogue": "How come" - }, - { - "start": "42:20.00", - "stop": "42:22.64", - "speaker": "Tutor", - "dialogue": "it's Kirby over here and it's straight here." - }, - { - "start": "42:23.84", - "stop": "42:31.52", - "speaker": "Student", - "dialogue": "Cause, that's a. The map shows the real, like route or like road." - }, - { - "start": "42:32.28", - "stop": "42:37.76", - "speaker": "Student", - "dialogue": "But this is a graph that's measuring the relationship between distance and time." - }, - { - "start": "42:38.88", - "stop": "42:41.68", - "speaker": "Tutor", - "dialogue": "Wow, that was a beautiful explanation." - }, - { - "start": "42:42.56", - "stop": "43:03.72", - "speaker": "Tutor", - "dialogue": "They are keeping track of two separate things, and you even use the very powerful word in there of ya, This blue section is keeping track of the relationship between these two things, and as we worked through to-day you started to think about that relationship actually has units of miles per hour, and we can call it speed." - }, - { - "start": "43:05.52", - "stop": "43:11.28", - "speaker": "Tutor", - "dialogue": "That's also the slope of the linesk." - }, - { - "start": "43:11.60", - "stop": "43:11.76", - "speaker": "Student", - "dialogue": "Does?" - }, - { - "start": "43:11.84", - "stop": "43:12.44", - "speaker": "Tutor", - "dialogue": "That make sense." - }, - { - "start": "43:13.12", - "stop": "43:13.16", - "speaker": "Tutor", - "dialogue": "Yeah." - }, - { - "start": "43:13.64", - "stop": "43:13.68", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "43:14.40", - "stop": "43:29.76", - "speaker": "Tutor", - "dialogue": "So this graph happens to be about distance and time and speed in this situation, but whenever you see any graph and graphs will start to look all sorts of different ways as you get higher and higher in math." - }, - { - "start": "43:30.76", - "stop": "43:35.24", - "speaker": "Tutor", - "dialogue": "No matter what graph you have, challenge yourself to stop and make sense of the graph." - }, - { - "start": "43:36.16", - "stop": "43:40.20", - "speaker": "Tutor", - "dialogue": "What is this axes keeping track of and what are the units?" - }, - { - "start": "43:41.56", - "stop": "43:42.80", - "speaker": "Tutor", - "dialogue": "What is this axes?" - }, - { - "start": "43:42.88", - "stop": "43:45.16", - "speaker": "Tutor", - "dialogue": "keeping track of what are the units?" - }, - { - "start": "43:46.16", - "stop": "43:47.32", - "speaker": "Tutor", - "dialogue": "And are these things?" - }, - { - "start": "43:47.92", - "stop": "43:48.88", - "speaker": "Tutor", - "dialogue": "How are they changing?" - }, - { - "start": "43:49.48", - "stop": "43:52.76", - "speaker": "Tutor", - "dialogue": "They, increasing, decreasing, staying the same." - }, - { - "start": "43:54.24", - "stop": "44:02.32", - "speaker": "Tutor", - "dialogue": "And what's going on in the middle of the graph is describing the relationship of how these two things are changing together." - }, - { - "start": "44:05.08", - "stop": "44:05.24", - "speaker": "Tutor", - "dialogue": "Ok." - }, - { - "start": "44:05.52", - "stop": "44:06.36", - "speaker": "Tutor", - "dialogue": "does that make sense?" - }, - { - "start": "44:07.00", - "stop": "44:21.92", - "speaker": "Tutor", - "dialogue": "Yeah, all right, we are almost at a time and you know that you're helping us test out this platform and this way of thinking about and experiencing math learning, so I would let you know a little bit more about your experience." - }, - { - "start": "44:22.88", - "stop": "44:23.72", - "speaker": "Tutor", - "dialogue": "Is there anything?" - }, - { - "start": "44:24.00", - "stop": "44:25.72", - "speaker": "Tutor", - "dialogue": "Yeah, so I have Au, just a couple of questions." - }, - { - "start": "44:26.04", - "stop": "44:30.40", - "speaker": "Tutor", - "dialogue": "H. is there anything that you feel like you're thinking differently about or feel like you learned?" - }, - { - "start": "44:32.12", - "stop": "44:50.08", - "speaker": "Student", - "dialogue": "Uh, well, I guess I learned that I should probably like make sense of the graph, because I definitely was like struggling to, I guess, comprehend, like like from D to E. Like how that worked." - }, - { - "start": "44:52.76", - "stop": "44:54.80", - "speaker": "Tutor", - "dialogue": "What does it help you make sense of the graph?" - }, - { - "start": "44:55.00", - "stop": "44:56.48", - "speaker": "Tutor", - "dialogue": "What helps you make sense of D. to?" - }, - { - "start": "44:56.60", - "stop": "45:07.76", - "speaker": "Student", - "dialogue": "E. no, well, I guess now I realized I should like consider, um, the relationship the relationship between them" - }, - { - "start": "45:07.92", - "stop": "45:15.44", - "speaker": "Student", - "dialogue": "like, 'cause I was just thinking about like, I didn't really understand how uh this worked Like" - }, - { - "start": "45:16.00", - "stop": "45:16.16", - "speaker": "Student", - "dialogue": "If" - }, - { - "start": "45:16.36", - "stop": "45:22.56", - "speaker": "Student", - "dialogue": "what was like changing there 'cause I didn't consider that there was also like it could." - }, - { - "start": "45:22.72", - "stop": "45:29.28", - "speaker": "Student", - "dialogue": "It was probably the relationship uh, changing like it wasn't staying consistent." - }, - { - "start": "45:30.32", - "stop": "45:36.60", - "speaker": "Tutor", - "dialogue": "Right, yeah, and so much, whenever we're working with graphs, we're told to like plot points and calculate things right." - }, - { - "start": "45:37.28", - "stop": "45:40.08", - "speaker": "Tutor", - "dialogue": "Yeah, and I heard you saying that a lot in your answers." - }, - { - "start": "45:40.20", - "stop": "45:54.08", - "speaker": "Tutor", - "dialogue": "like Um, Well, I need some more precise knowledge to be able to do this right, because I'm so used to having to calculate stuff, so taking the time to stop and make sense of the graph, And what's changing?" - }, - { - "start": "45:54.28", - "stop": "46:04.96", - "speaker": "Tutor", - "dialogue": "How is it changing will help bring life to what's going on in whatever that a situation is being represented by with a graph." - }, - { - "start": "46:07.44", - "stop": "46:12.00", - "speaker": "Tutor", - "dialogue": "Yeah, and then if you can talk a little bit about what was helpful for you" - }, - { - "start": "46:12.68", - "stop": "46:18.36", - "speaker": "Tutor", - "dialogue": "or what wasn't as helpful, you know, so maybe some things we should keep doing or things we should think about changing." - }, - { - "start": "46:20.08", - "stop": "46:35.12", - "speaker": "Student", - "dialogue": "Ah, well, I think it was helpful that there's like tools that you can use to like, I guess interact with like the uh, the math and the graph." - }, - { - "start": "46:36.28", - "stop": "46:41.12", - "speaker": "Student", - "dialogue": "Uh, It kind of confused me at first." - }, - { - "start": "46:41.28", - "stop": "46:48.84", - "speaker": "Student", - "dialogue": "How the like text like worked like I, Ah." - }, - { - "start": "46:49.08", - "stop": "46:52.88", - "speaker": "Tutor", - "dialogue": "Yeah, like when it pops up in the middle of the graph and you can't see it?" - }, - { - "start": "46:53.76", - "stop": "46:57.52", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, that I couldn't find it for a while either when I first started using it." - }, - { - "start": "46:57.68", - "stop": "46:58.68", - "speaker": "Tutor", - "dialogue": "That's helpful feedback." - }, - { - "start": "46:59.76", - "stop": "47:02.60", - "speaker": "Tutor", - "dialogue": "Other things that were helpful for you or things that we should change." - }, - { - "start": "47:04.24", - "stop": "47:08.40", - "speaker": "Student", - "dialogue": "Ah, I would say not reallyk." - }, - { - "start": "47:10.28", - "stop": "47:12.24", - "speaker": "Tutor", - "dialogue": "Well, thank you so much for joining." - }, - { - "start": "47:13.00", - "stop": "47:13.12", - "speaker": "Tutor", - "dialogue": "Um." - }, - { - "start": "47:13.20", - "stop": "47:19.60", - "speaker": "Tutor", - "dialogue": "I appreciate you helping us think through this and you are a powerful mathematical thinker." - }, - { - "start": "47:20.16", - "stop": "47:22.40", - "speaker": "Tutor", - "dialogue": "Lean into that whenever you feel uncomfortable." - }, - { - "start": "47:23.20", - "stop": "47:27.04", - "speaker": "Tutor", - "dialogue": "Know that that is when your brain is literally learning and trying to make sense." - }, - { - "start": "47:27.48", - "stop": "47:30.40", - "speaker": "Tutor", - "dialogue": "Okay, it will quick all the time." - }, - { - "start": "47:30.60", - "stop": "47:31.24", - "speaker": "Tutor", - "dialogue": "It's Oky." - }, - { - "start": "47:31.84", - "stop": "47:35.80", - "speaker": "Tutor", - "dialogue": "give yourself grace and allow your brain to think deeply like it naturally wants to." - }, - { - "start": "47:37.28", - "stop": "47:37.44", - "speaker": "Tutor", - "dialogue": "Ok." - }, - { - "start": "47:37.96", - "stop": "47:40.84", - "speaker": "Tutor", - "dialogue": "All right, You have a good night and a good weekend." - }, - { - "start": "47:41.68", - "stop": "47:42.68", - "speaker": "Student", - "dialogue": "Thank you for the lesson." - }, - { - "start": "47:42.88", - "stop": "47:44.04", - "speaker": "Tutor", - "dialogue": "You're welcome, thank." - }, - { - "start": "47:44.12", - "stop": "47:45.80", - "speaker": "Student", - "dialogue": "You, bye bye." - }, - { - "start": "47:45.88", - "stop": "47:46.88", - "speaker": "Student", - "dialogue": "Do I leave the session now?" - }, - { - "start": "47:47.00", - "stop": "47:48.88", - "speaker": "Tutor", - "dialogue": "Yup, yup, you can leave it and all right close." - } -] \ No newline at end of file diff --git a/data/amber/x4432.json b/data/amber/x4432.json deleted file mode 100644 index d9db21c..0000000 --- a/data/amber/x4432.json +++ /dev/null @@ -1,2882 +0,0 @@ -[ - { - "start": "00:01.40", - "stop": "00:03.16", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "00:03.64", - "stop": "00:07.36", - "speaker": "Tutor", - "dialogue": "So on the screen do you see my mouse moving?" - }, - { - "start": "00:08.84", - "stop": "00:10.52", - "speaker": "Tutor", - "dialogue": "Yes, and move yours around" - }, - { - "start": "00:10.60", - "stop": "00:12.92", - "speaker": "Tutor", - "dialogue": "so I can make sure I can see you too perfect." - }, - { - "start": "00:13.44", - "stop": "00:14.20", - "speaker": "Tutor", - "dialogue": "All right over here." - }, - { - "start": "00:14.32", - "stop": "00:16.36", - "speaker": "Tutor", - "dialogue": "Do you see some tools in a blue box?" - }, - { - "start": "00:17.40", - "stop": "00:20.20", - "speaker": "Tutor", - "dialogue": "Yes, right, we're going to practice using a couple of em." - }, - { - "start": "00:20.88", - "stop": "00:23.36", - "speaker": "Tutor", - "dialogue": "So the third one down, that's a pencil." - }, - { - "start": "00:24.00", - "stop": "00:29.04", - "speaker": "Tutor", - "dialogue": "If you click on it up above, there'll be a color box and a size box that pops up." - }, - { - "start": "00:29.24", - "stop": "00:33.12", - "speaker": "Tutor", - "dialogue": "Yep, so you can change a color in size if you want, or you can just keep it black." - }, - { - "start": "00:33.72", - "stop": "00:41.84", - "speaker": "Tutor", - "dialogue": "And then there is a square that has a t in it. If you click on that, that's how you can enter a text box." - }, - { - "start": "00:41.92", - "stop": "01:00.44", - "speaker": "Tutor", - "dialogue": "if you'd rather type Oky, And then if you want to erase something, because you want to revise your thinking or change your mind, you have to have the top arrow selected and then you click on whatever it is you want to erase and you can hit delete on your keyboard." - }, - { - "start": "01:00.96", - "stop": "01:01.40", - "speaker": "Tutor", - "dialogue": "There you go." - }, - { - "start": "01:01.64", - "stop": "01:02.48", - "speaker": "Tutor", - "dialogue": "You're already ahead of me." - }, - { - "start": "01:02.52", - "stop": "01:03.48", - "speaker": "Tutor", - "dialogue": "You figured out how to do it." - }, - { - "start": "01:04.64", - "stop": "01:06.64", - "speaker": "Tutor", - "dialogue": "The button down here that has a trash can." - }, - { - "start": "01:08.04", - "stop": "01:09.64", - "speaker": "Tutor", - "dialogue": "Don't don't touch it." - }, - { - "start": "01:10.52", - "stop": "01:15.72", - "speaker": "Tutor", - "dialogue": "Okay if you touch it, it erases everything and we don't have any way to get it back." - }, - { - "start": "01:18.40", - "stop": "01:26.20", - "speaker": "Tutor", - "dialogue": "All right, Um, the other thing, if your chat box is open, you can close it so that your screen and work space is a little bit bigger." - }, - { - "start": "01:27.32", - "stop": "01:35.64", - "speaker": "Tutor", - "dialogue": "Since we'll be talking back and forth, and as we're working together, I'm going to ask you a lot of questions." - }, - { - "start": "01:36.32", - "stop": "01:39.48", - "speaker": "Tutor", - "dialogue": "That doesn't necessarily mean that you have something wrong." - }, - { - "start": "01:39.88", - "stop": "01:46.00", - "speaker": "Tutor", - "dialogue": "It just means I want to know more about how you're thinking so that I can help you continue to grow in that thinking." - }, - { - "start": "01:46.28", - "stop": "01:52.96", - "speaker": "Tutor", - "dialogue": "Ok, and I can't see your face, so it's hard for me to read your body language." - }, - { - "start": "01:53.40", - "stop": "01:57.80", - "speaker": "Tutor", - "dialogue": "That means if I ask you a question and you're like, Um, I don't know." - }, - { - "start": "01:58.40", - "stop": "01:58.96", - "speaker": "Tutor", - "dialogue": "Not sure." - }, - { - "start": "01:59.64", - "stop": "02:06.52", - "speaker": "Tutor", - "dialogue": "Just let me know that out loud so that I will stop talking and give your brain time to think without interrupting." - }, - { - "start": "02:10.72", - "stop": "02:12.64", - "speaker": "Tutor", - "dialogue": "Yes, all right, Are you ready to get started?" - }, - { - "start": "02:13.60", - "stop": "02:15.52", - "speaker": "Tutor", - "dialogue": "Yeah, all right, I'm going to change the screen." - }, - { - "start": "02:16.80", - "stop": "02:18.72", - "speaker": "Tutor", - "dialogue": "Do you see something different on your screen now?" - }, - { - "start": "02:19.40", - "stop": "02:21.56", - "speaker": "Tutor", - "dialogue": "Yeah, awesome, so take a minute to read it." - }, - { - "start": "02:22.00", - "stop": "02:26.56", - "speaker": "Tutor", - "dialogue": "Look it over and then describe to me what you think is happening in this situation?" - }, - { - "start": "02:45.32", - "stop": "02:47.32", - "speaker": "Tutor", - "dialogue": "What do you think is going on in this situation?" - }, - { - "start": "02:49.32", - "stop": "02:57.12", - "speaker": "Student", - "dialogue": "I think they're showing Um a distance from from a place to New York, Um to New Jersey, not New York." - }, - { - "start": "02:58.40", - "stop": "03:00.00", - "speaker": "Tutor", - "dialogue": "Where do you think we're going to start?" - }, - { - "start": "03:00.32", - "stop": "03:01.72", - "speaker": "Tutor", - "dialogue": "In this place we're" - }, - { - "start": "03:01.76", - "stop": "03:06.60", - "speaker": "Student", - "dialogue": "Going to start at R, I, and then the ending will be at New Yark." - }, - { - "start": "03:07.64", - "stop": "03:13.56", - "speaker": "Tutor", - "dialogue": "Okay, what are some things that we could measure in this situation?" - }, - { - "start": "03:19.00", - "stop": "03:19.64", - "speaker": "Student", - "dialogue": "The distance." - }, - { - "start": "03:20.48", - "stop": "03:23.24", - "speaker": "Tutor", - "dialogue": "What units would we use if we were going to measure the distance?" - }, - { - "start": "03:24.44", - "stop": "03:27.88", - "speaker": "Student", - "dialogue": "Miles kilometers." - }, - { - "start": "03:29.76", - "stop": "03:35.60", - "speaker": "Tutor", - "dialogue": "So we might be thinking about miles or kilometers to measure the distance between different places on this journey." - }, - { - "start": "03:37.04", - "stop": "03:39.56", - "speaker": "Tutor", - "dialogue": "Are there other things that we could think about measuring?" - }, - { - "start": "03:59.24", - "stop": "04:01.00", - "speaker": "Student", - "dialogue": "Maybe how long the drive?" - }, - { - "start": "04:01.20", - "stop": "04:08.96", - "speaker": "Tutor", - "dialogue": "Was okay, and if we were going to measure how long the drive was, whatk of units would we useur?" - }, - { - "start": "04:13.96", - "stop": "04:14.28", - "speaker": "Student", - "dialogue": "Anything?" - }, - { - "start": "04:14.32", - "stop": "04:24.36", - "speaker": "Tutor", - "dialogue": "Else we can measure or keep track of I, K, Okay, Cool" - }, - { - "start": "04:24.52", - "stop": "04:26.44", - "speaker": "Tutor", - "dialogue": "And that's an okay thing to say." - }, - { - "start": "04:26.68", - "stop": "04:28.36", - "speaker": "Tutor", - "dialogue": "You don't always have to have an answer cause" - }, - { - "start": "04:28.36", - "stop": "04:30.40", - "speaker": "Tutor", - "dialogue": "I'll push you to the point of when you may say" - }, - { - "start": "04:30.52", - "stop": "04:31.28", - "speaker": "Tutor", - "dialogue": "I don't know or" - }, - { - "start": "04:31.40", - "stop": "04:32.96", - "speaker": "Tutor", - "dialogue": "I'm not sure, or I think that's it." - }, - { - "start": "04:33.52", - "stop": "04:35.28", - "speaker": "Tutor", - "dialogue": "It's okay to say those things out loud." - }, - { - "start": "04:35.36", - "stop": "04:35.72", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "04:37.40", - "stop": "04:44.36", - "speaker": "Tutor", - "dialogue": "Es all right now, I'm going to uncover something and I want you to think about how it's similar or different to what you were thinking about." - }, - { - "start": "04:59.68", - "stop": "05:11.08", - "speaker": "Student", - "dialogue": "So it basically um, shows the distance of how much they traveled on on the side and then on the bottom, it took the time they took to reach the amount of miles." - }, - { - "start": "05:12.56", - "stop": "05:16.04", - "speaker": "Tutor", - "dialogue": "With your cursor, can you show me how the car travels on the map?" - }, - { - "start": "05:17.64", - "stop": "05:18.28", - "speaker": "Student", - "dialogue": "On the map." - }, - { - "start": "05:18.56", - "stop": "05:25.44", - "speaker": "Tutor", - "dialogue": "Yeah, and what about on the graph?" - }, - { - "start": "05:25.76", - "stop": "05:27.96", - "speaker": "Tutor", - "dialogue": "How does the car travel on the graph?" - }, - { - "start": "05:34.24", - "stop": "05:40.80", - "speaker": "Tutor", - "dialogue": "So using the map and the graph, can you describe what is happening during each stage of the journey?" - }, - { - "start": "05:43.56", - "stop": "05:48.96", - "speaker": "Student", - "dialogue": "Basically, um, so using like the graph, you can see like for an hour" - }, - { - "start": "05:49.28", - "stop": "06:11.48", - "speaker": "Student", - "dialogue": "they were at fifty miles, but then they stayed steady until they reached like in like one and a half hours, and they went higher on the starting, the second maybe, and until they reached the fourth hour, they were still going at a fast rate." - }, - { - "start": "06:14.48", - "stop": "06:15.60", - "speaker": "Tutor", - "dialogue": "A fast rate." - }, - { - "start": "06:16.60", - "stop": "06:19.16", - "speaker": "Tutor", - "dialogue": "What does that mean and how do you see?" - }, - { - "start": "06:19.20", - "stop": "06:26.84", - "speaker": "Student", - "dialogue": "That fast rate, as in, they were going to their location faster." - }, - { - "start": "06:28.56", - "stop": "06:33.80", - "speaker": "Tutor", - "dialogue": "So were we thinking about miles there or hours there or something else?" - }, - { - "start": "06:34.04", - "stop": "06:46.08", - "speaker": "Tutor", - "dialogue": "If you're describing, Um, it going fasteri." - }, - { - "start": "06:46.32", - "stop": "06:46.36", - "speaker": "Student", - "dialogue": "Me." - }, - { - "start": "06:46.48", - "stop": "06:46.52", - "speaker": "Tutor", - "dialogue": "The." - }, - { - "start": "06:46.80", - "stop": "06:47.24", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "06:48.08", - "stop": "06:48.96", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "06:49.04", - "stop": "06:50.16", - "speaker": "Tutor", - "dialogue": "we'll explore that some more." - }, - { - "start": "06:50.92", - "stop": "06:58.60", - "speaker": "Tutor", - "dialogue": "Okay, So you talked about, Um, this point, and you said at this point, what does that point represent?" - }, - { - "start": "07:00.32", - "stop": "07:03.60", - "speaker": "Student", - "dialogue": "It shows that they're at fifty miles in the first hour." - }, - { - "start": "07:04.08", - "stop": "07:05.04", - "speaker": "Tutor", - "dialogue": "Okay, where?" - }, - { - "start": "07:05.20", - "stop": "07:05.24", - "speaker": "Tutor", - "dialogue": "so?" - }, - { - "start": "07:05.44", - "stop": "07:15.60", - "speaker": "Tutor", - "dialogue": "At point B, the car has travelled fifty miles and it has taken one hour to be able to go that distance." - }, - { - "start": "07:17.04", - "stop": "07:17.20", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "07:18.16", - "stop": "07:21.72", - "speaker": "Tutor", - "dialogue": "Where do you think point B would be located on the map?" - }, - { - "start": "07:23.92", - "stop": "07:24.84", - "speaker": "Tutor", - "dialogue": "Yes, Absolutely." - }, - { - "start": "07:25.28", - "stop": "07:30.80", - "speaker": "Tutor", - "dialogue": "where do you think Point B would be located on the map?" - }, - { - "start": "07:38.88", - "stop": "07:41.24", - "speaker": "Student", - "dialogue": "I think it could be around here." - }, - { - "start": "07:43.60", - "stop": "07:44.44", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "07:44.56", - "stop": "07:45.28", - "speaker": "Tutor", - "dialogue": "make a prediction." - }, - { - "start": "07:45.52", - "stop": "07:46.56", - "speaker": "Tutor", - "dialogue": "Put it where you think it is." - }, - { - "start": "07:46.76", - "stop": "07:47.12", - "speaker": "Tutor", - "dialogue": "Label it." - }, - { - "start": "07:57.68", - "stop": "07:57.96", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "07:58.64", - "stop": "07:59.16", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "07:59.32", - "stop": "08:01.84", - "speaker": "Tutor", - "dialogue": "Where do you think Point A would be located?" - }, - { - "start": "08:02.08", - "stop": "08:55.60", - "speaker": "Tutor", - "dialogue": "Point C, and so on, Right Cool." - }, - { - "start": "08:56.48", - "stop": "09:04.96", - "speaker": "Tutor", - "dialogue": "So you've labeled each of your points on the map now, and I want you to justify or tell me why you put the points where you did." - }, - { - "start": "09:06.28", - "stop": "09:38.32", - "speaker": "Student", - "dialogue": "Um, I think A should be the beginning, cause at that time they were not moving, so they must have been in the same spot and they moved on to B. It went like a little further away and C was really close to it, so I placed C right next to B, and they went more further away into D. so I moved a little down, and E would probably be near New York, so that's where I put and then um F would be their Ac, the location that they went to New York." - }, - { - "start": "09:38.88", - "stop": "09:46.56", - "speaker": "Tutor", - "dialogue": "So, when you're saying like B is a little more down, and C is kind of close to B, are you looking at the distance of this blue line?" - }, - { - "start": "09:47.36", - "stop": "09:51.24", - "speaker": "Tutor", - "dialogue": "Yeah, when you're paying attention to that, Okay, cool, that's helpful." - }, - { - "start": "09:51.36", - "stop": "09:56.72", - "speaker": "Tutor", - "dialogue": "That's what I thought you were describing, but I wanted to make sure Okay, so now I'm going to type" - }, - { - "start": "09:56.84", - "stop": "10:01.68", - "speaker": "Tutor", - "dialogue": "some words in purple and I'm going to call them" - }, - { - "start": "10:01.76", - "stop": "10:02.96", - "speaker": "Tutor", - "dialogue": "the Purple power words." - }, - { - "start": "10:04.32", - "stop": "10:13.76", - "speaker": "Tutor", - "dialogue": "Okay after I type them, I want you to think about describing what's happening from A to B using these words." - }, - { - "start": "10:14.48", - "stop": "10:46.04", - "speaker": "Tutor", - "dialogue": "Ok, so we're going to use those words and we're going to be thinking about distance and miles and we're going to be thinking about time and hours, so all of these things are our purple powerwords." - }, - { - "start": "10:47.48", - "stop": "10:52.20", - "speaker": "Student", - "dialogue": "Oky, um, so both the time and distance are increasing from point" - }, - { - "start": "10:52.28", - "stop": "10:52.64", - "speaker": "Student", - "dialogue": "A to?" - }, - { - "start": "10:52.80", - "stop": "10:58.08", - "speaker": "Tutor", - "dialogue": "B, Okay, do you know how much the time and how much the distance is increasing?" - }, - { - "start": "10:59.60", - "stop": "11:06.92", - "speaker": "Student", - "dialogue": "The time is going um up by sixty minutes and fifty miles, I believe." - }, - { - "start": "11:07.84", - "stop": "11:13.28", - "speaker": "Tutor", - "dialogue": "Okay, so from A to B, the time is increasing by how much?" - }, - { - "start": "11:14.16", - "stop": "11:14.96", - "speaker": "Student", - "dialogue": "Sixty minutes." - }, - { - "start": "11:17.52", - "stop": "11:19.56", - "speaker": "Tutor", - "dialogue": "And the distance, what's going on with?" - }, - { - "start": "11:19.68", - "stop": "11:23.00", - "speaker": "Student", - "dialogue": "It, um, they're going fifty miles." - }, - { - "start": "11:23.84", - "stop": "11:24.76", - "speaker": "Tutor", - "dialogue": "Is it increasing?" - }, - { - "start": "11:25.04", - "stop": "11:26.20", - "speaker": "Tutor", - "dialogue": "Do Is increasing?" - }, - { - "start": "11:26.36", - "stop": "11:29.40", - "speaker": "Tutor", - "dialogue": "Okay, so it's increasing by fifty miles." - }, - { - "start": "11:32.60", - "stop": "11:34.68", - "speaker": "Student", - "dialogue": "Yes, Oky." - }, - { - "start": "11:36.00", - "stop": "11:40.36", - "speaker": "Tutor", - "dialogue": "I typed what I think I heard you saying, Rita, and let me know if you want me to change anything." - }, - { - "start": "11:44.48", - "stop": "11:45.08", - "speaker": "Tutor", - "dialogue": "It's correct." - }, - { - "start": "11:45.44", - "stop": "11:45.60", - "speaker": "Tutor", - "dialogue": "Ok." - }, - { - "start": "11:46.04", - "stop": "11:48.84", - "speaker": "Tutor", - "dialogue": "How did you know the distance was increasing fifty miles?" - }, - { - "start": "11:48.92", - "stop": "11:49.64", - "speaker": "Tutor", - "dialogue": "Where did you see?" - }, - { - "start": "11:49.72", - "stop": "11:55.44", - "speaker": "Student", - "dialogue": "That I saw it by the line going upwards, Um, giv me the indication." - }, - { - "start": "11:55.72", - "stop": "11:57.00", - "speaker": "Student", - "dialogue": "It's probably going higher." - }, - { - "start": "11:57.40", - "stop": "12:01.24", - "speaker": "Student", - "dialogue": "and since it's from zero, I would also assume point, um." - }, - { - "start": "12:01.72", - "stop": "12:02.12", - "speaker": "Student", - "dialogue": "The The." - }, - { - "start": "12:02.40", - "stop": "12:03.60", - "speaker": "Student", - "dialogue": "This would also be zero." - }, - { - "start": "12:04.12", - "stop": "12:06.72", - "speaker": "Student", - "dialogue": "So it, the number's also increasing." - }, - { - "start": "12:07.64", - "stop": "12:11.60", - "speaker": "Tutor", - "dialogue": "All right, so distance is increasing by fifty miles Here." - }, - { - "start": "12:13.36", - "stop": "12:16.08", - "speaker": "Tutor", - "dialogue": "Yes, and time is increasing by one hour Here." - }, - { - "start": "12:17.28", - "stop": "12:25.28", - "speaker": "Tutor", - "dialogue": "Yeah, so from A to B, this line represents distance increasing by fifty miles and time increasing by one hour." - }, - { - "start": "12:26.36", - "stop": "12:32.72", - "speaker": "Tutor", - "dialogue": "Yes, Okay, same thing, purple Power words, What's going on from B to?" - }, - { - "start": "12:32.88", - "stop": "12:44.04", - "speaker": "Student", - "dialogue": "C. I think M. they're staying at the same, except in this the time is increasing, but the miles is the same." - }, - { - "start": "12:44.84", - "stop": "12:49.08", - "speaker": "Tutor", - "dialogue": "Okay, so last time I typed everything for you right here." - }, - { - "start": "12:49.96", - "stop": "12:59.92", - "speaker": "Tutor", - "dialogue": "Yeah, this time I want you to type a sentence that describes what's happening from B to C using those purple power words." - }, - { - "start": "13:34.08", - "stop": "13:34.80", - "speaker": "Student", - "dialogue": "Okay, I'm done." - }, - { - "start": "13:35.52", - "stop": "13:36.16", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "13:36.28", - "stop": "13:37.24", - "speaker": "Tutor", - "dialogue": "Read it out loud for me." - }, - { - "start": "13:37.96", - "stop": "13:43.60", - "speaker": "Student", - "dialogue": "From B to C, the time is increasing by thirty minutes, while the miles are staying the same cool." - }, - { - "start": "13:44.08", - "stop": "13:47.64", - "speaker": "Tutor", - "dialogue": "So your words here, think about." - }, - { - "start": "13:47.80", - "stop": "13:49.84", - "speaker": "Tutor", - "dialogue": "Do they match what you put on the map?" - }, - { - "start": "13:56.36", - "stop": "13:59.72", - "speaker": "Student", - "dialogue": "Um, I think the Cea should be right next to Bcause." - }, - { - "start": "13:59.80", - "stop": "14:00.56", - "speaker": "Student", - "dialogue": "they would stay the." - }, - { - "start": "14:00.64", - "stop": "14:02.44", - "speaker": "Tutor", - "dialogue": "Same, so you want to revise your thinking." - }, - { - "start": "14:03.28", - "stop": "14:03.32", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "14:03.88", - "stop": "14:05.96", - "speaker": "Tutor", - "dialogue": "Are we allowed to revise our thinking and math?" - }, - { - "start": "14:07.00", - "stop": "14:08.88", - "speaker": "Tutor", - "dialogue": "Yes, absolutely cool." - }, - { - "start": "14:09.08", - "stop": "14:09.64", - "speaker": "Tutor", - "dialogue": "So go for it." - }, - { - "start": "14:09.76", - "stop": "14:11.32", - "speaker": "Tutor", - "dialogue": "Revise it how you want to revise it." - }, - { - "start": "14:20.68", - "stop": "14:25.20", - "speaker": "Tutor", - "dialogue": "So why do you think C and D are right next to each other or the same point now?" - }, - { - "start": "14:26.84", - "stop": "14:31.32", - "speaker": "Student", - "dialogue": "I think they're the same point, because Uh, showing the graph, the miles do not change." - }, - { - "start": "14:31.44", - "stop": "14:35.20", - "speaker": "Student", - "dialogue": "They are constant while the time is increasing." - }, - { - "start": "14:36.36", - "stop": "14:38.60", - "speaker": "Tutor", - "dialogue": "Oh, you just added a new power word." - }, - { - "start": "14:39.16", - "stop": "14:41.72", - "speaker": "Tutor", - "dialogue": "so you said something was constant." - }, - { - "start": "14:44.60", - "stop": "14:47.36", - "speaker": "Tutor", - "dialogue": "That's another way of thinking about something staying the same" - }, - { - "start": "14:51.60", - "stop": "14:53.60", - "speaker": "Tutor", - "dialogue": "Ok out loud." - }, - { - "start": "14:54.40", - "stop": "14:57.64", - "speaker": "Tutor", - "dialogue": "Describe with those purple power words, what's going on from C. to?" - }, - { - "start": "14:57.76", - "stop": "15:00.80", - "speaker": "Student", - "dialogue": "D, k, um." - }, - { - "start": "15:01.24", - "stop": "15:07.20", - "speaker": "Student", - "dialogue": "is the miles from point C to D are increasing, while the time is also increasing." - }, - { - "start": "15:08.60", - "stop": "15:09.40", - "speaker": "Tutor", - "dialogue": "What about D?" - }, - { - "start": "15:09.64", - "stop": "15:09.68", - "speaker": "Tutor", - "dialogue": "to?" - }, - { - "start": "15:09.84", - "stop": "15:18.64", - "speaker": "Student", - "dialogue": "E, I, they both are increasing, Um, the distance and time." - }, - { - "start": "15:19.80", - "stop": "15:22.64", - "speaker": "Tutor", - "dialogue": "How come from A to B?" - }, - { - "start": "15:23.24", - "stop": "15:36.24", - "speaker": "Tutor", - "dialogue": "the distance and time are increasing from C to D. the distance and time are increasing, and from D to E, the distance and time are increasing, But sometimes it's a straight line and sometimes it's a bumpy line." - }, - { - "start": "15:39.00", - "stop": "15:42.96", - "speaker": "Student", - "dialogue": "I think the bumpy line could be that there would be stops." - }, - { - "start": "15:43.72", - "stop": "15:47.92", - "speaker": "Student", - "dialogue": "Um, so the time would increase, but they were moving slowly towards New York." - }, - { - "start": "15:49.16", - "stop": "15:56.88", - "speaker": "Tutor", - "dialogue": "Ah, and earlier you said something about rate, and did you say faster also?" - }, - { - "start": "15:58.00", - "stop": "15:59.56", - "speaker": "Student", - "dialogue": "I, um, I took constant." - }, - { - "start": "15:59.96", - "stop": "16:01.64", - "speaker": "Tutor", - "dialogue": "Constant, Okay, so yeah, So" - }, - { - "start": "16:01.80", - "stop": "16:06.80", - "speaker": "Tutor", - "dialogue": "there's this constant and there's rate and there's moving slowly or stopping." - }, - { - "start": "16:07.92", - "stop": "16:11.84", - "speaker": "Tutor", - "dialogue": "So I wonder why there is a straight line here." - }, - { - "start": "16:12.68", - "stop": "16:18.32", - "speaker": "Tutor", - "dialogue": "What is constant or smooth or staying the same, And what is changing here?" - }, - { - "start": "16:25.20", - "stop": "16:31.12", - "speaker": "Student", - "dialogue": "I think that I'm not too sure about this one." - }, - { - "start": "16:33.20", - "stop": "16:33.84", - "speaker": "Tutor", - "dialogue": "Take a risk." - }, - { - "start": "16:34.28", - "stop": "16:35.28", - "speaker": "Tutor", - "dialogue": "Take your best guess." - }, - { - "start": "16:35.88", - "stop": "16:38.84", - "speaker": "Tutor", - "dialogue": "What do you think might be happening with the car?" - }, - { - "start": "16:40.48", - "stop": "16:43.08", - "speaker": "Tutor", - "dialogue": "That's different here and here?" - }, - { - "start": "16:43.76", - "stop": "17:01.04", - "speaker": "Student", - "dialogue": "I think there must have been traffic, so there have stoppages and the time would be still going, Because yeah, um, so, while that happens, the distance wouldn't really change so fat so constantly as it did from a D." - }, - { - "start": "17:01.64", - "stop": "17:03.56", - "speaker": "Tutor", - "dialogue": "Yeah, so something is constant." - }, - { - "start": "17:04.24", - "stop": "17:14.08", - "speaker": "Tutor", - "dialogue": "It has something to do with fast and slow and it's weird because the distance and time are both increasing in each." - }, - { - "start": "17:14.20", - "stop": "17:15.68", - "speaker": "Tutor", - "dialogue": "But but there's a thing." - }, - { - "start": "17:16.00", - "stop": "17:17.76", - "speaker": "Tutor", - "dialogue": "There's another thing going on here" - }, - { - "start": "17:19.32", - "stop": "17:21.72", - "speaker": "Tutor", - "dialogue": "That it's moving constantly here." - }, - { - "start": "17:22.20", - "stop": "17:24.08", - "speaker": "Tutor", - "dialogue": "but here it's stopping and going." - }, - { - "start": "17:24.92", - "stop": "17:26.60", - "speaker": "Tutor", - "dialogue": "What do you think that thing might be?" - }, - { - "start": "17:37.20", - "stop": "17:44.28", - "speaker": "Tutor", - "dialogue": "Is the car moving in the same way this whole timem?" - }, - { - "start": "17:46.20", - "stop": "17:51.16", - "speaker": "Student", - "dialogue": "Well, from A to D, it was moving the the same." - }, - { - "start": "17:51.36", - "stop": "18:07.40", - "speaker": "Tutor", - "dialogue": "But so from A to c, B is the car moving?" - }, - { - "start": "18:08.36", - "stop": "18:08.40", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "18:08.88", - "stop": "18:11.56", - "speaker": "Tutor", - "dialogue": "Okay, from B to C is the car moving?" - }, - { - "start": "18:12.56", - "stop": "18:16.04", - "speaker": "Tutor", - "dialogue": "No, No, So from A to B, it's moving in some way." - }, - { - "start": "18:17.24", - "stop": "18:28.64", - "speaker": "Tutor", - "dialogue": "B to C. the car is stopped so it's not moving from C to D. Is the car moving in some way and from D to E, the car is moving in some way." - }, - { - "start": "18:29.72", - "stop": "18:32.52", - "speaker": "Tutor", - "dialogue": "Yes, what's similar or different to how the car is moving?" - }, - { - "start": "18:35.36", - "stop": "18:37.80", - "speaker": "Student", - "dialogue": "So they both are moving, but they're" - }, - { - "start": "18:38.12", - "stop": "18:41.56", - "speaker": "Student", - "dialogue": "The line is very bumpy, so there, ha, um." - }, - { - "start": "18:41.64", - "stop": "18:48.20", - "speaker": "Student", - "dialogue": "there must be something stopping him from moving Um faster like traffic." - }, - { - "start": "18:49.40", - "stop": "18:58.24", - "speaker": "Tutor", - "dialogue": "Yeah, so from D to E, the car is moving and then it slows down or stops and then it's moving and speeds up and slows down." - }, - { - "start": "18:58.84", - "stop": "19:02.16", - "speaker": "Tutor", - "dialogue": "And you've used these words like faster and slower and constant." - }, - { - "start": "19:02.72", - "stop": "19:05.60", - "speaker": "Tutor", - "dialogue": "Those are all ways of thinking about the speed of the car." - }, - { - "start": "19:08.84", - "stop": "19:11.44", - "speaker": "Tutor", - "dialogue": "So is the speed of the car over the whole journey" - }, - { - "start": "19:11.76", - "stop": "19:13.56", - "speaker": "Tutor", - "dialogue": "staying the same, Or is it changing?" - }, - { - "start": "19:14.12", - "stop": "19:14.96", - "speaker": "Student", - "dialogue": "It's changing." - }, - { - "start": "19:15.72", - "stop": "19:17.48", - "speaker": "Tutor", - "dialogue": "Walk me through how it's changing." - }, - { - "start": "19:19.00", - "stop": "19:22.36", - "speaker": "Student", - "dialogue": "So from A to B, it is constant." - }, - { - "start": "19:23.04", - "stop": "19:35.12", - "speaker": "Student", - "dialogue": "B, it stops, and then C to D. it is also going the same, but when it gets to D, n da E, there are stops and so the speed is slower." - }, - { - "start": "19:37.52", - "stop": "19:41.28", - "speaker": "Tutor", - "dialogue": "Is the speed staying constant from D to E, or is the speed varying?" - }, - { - "start": "19:42.16", - "stop": "19:43.20", - "speaker": "Student", - "dialogue": "The speed varying." - }, - { - "start": "19:43.64", - "stop": "19:45.72", - "speaker": "Tutor", - "dialogue": "Cool, so we're going to add a few more words here." - }, - { - "start": "19:45.80", - "stop": "19:48.40", - "speaker": "Tutor", - "dialogue": "we're going to add speed to our purple power word bank." - }, - { - "start": "19:49.20", - "stop": "19:50.60", - "speaker": "Tutor", - "dialogue": "And how do we measure speed?" - }, - { - "start": "19:50.84", - "stop": "19:53.04", - "speaker": "Tutor", - "dialogue": "What's the unit we use to keep track of speed?" - }, - { - "start": "20:03.72", - "stop": "20:04.96", - "speaker": "Student", - "dialogue": "Wouldn't it be miles?" - }, - { - "start": "20:05.68", - "stop": "20:07.60", - "speaker": "Student", - "dialogue": "Yeah, um miles per hour." - }, - { - "start": "20:07.92", - "stop": "20:13.84", - "speaker": "Tutor", - "dialogue": "Yeah, it's the relationship of miles two hours, and we call that miles per hour." - }, - { - "start": "20:13.92", - "stop": "20:25.48", - "speaker": "Tutor", - "dialogue": "So if you see like a speed limit on the side of the road and it says fifty five, that's say in fiftyfive miles per hour or thirty miles per hour in a school zone or something" - }, - { - "start": "20:25.56", - "stop": "20:30.40", - "speaker": "Tutor", - "dialogue": "like that, So miles per hour is the unit that we keep track of speed with." - }, - { - "start": "20:32.32", - "stop": "20:37.00", - "speaker": "Tutor", - "dialogue": "So do we have enough information to figure out the speed of the car or how fast the car is going?" - }, - { - "start": "20:40.00", - "stop": "20:44.12", - "speaker": "Tutor", - "dialogue": "So I, we may or may not, let's take a risk and try it." - }, - { - "start": "20:44.72", - "stop": "20:47.76", - "speaker": "Tutor", - "dialogue": "What would we need to know to be able to figure out the speed?" - }, - { - "start": "20:49.52", - "stop": "20:53.24", - "speaker": "Student", - "dialogue": "Weold to know the miles fully on the Gra." - }, - { - "start": "20:55.16", - "stop": "20:56.84", - "speaker": "Tutor", - "dialogue": "So let's take one section at a time." - }, - { - "start": "20:57.04", - "stop": "20:59.28", - "speaker": "Tutor", - "dialogue": "Could we figure out the speed of the car from A to?" - }, - { - "start": "20:59.36", - "stop": "21:03.40", - "speaker": "Student", - "dialogue": "B, fifty miles." - }, - { - "start": "21:04.84", - "stop": "21:08.56", - "speaker": "Tutor", - "dialogue": "Oka, so you know that the car is travelling fifty miles from A to B?" - }, - { - "start": "21:10.32", - "stop": "21:11.80", - "speaker": "Tutor", - "dialogue": "Is that enough to tell us the speed?" - }, - { - "start": "21:17.96", - "stop": "21:25.24", - "speaker": "Student", - "dialogue": "We also need the time, so that, uh, one hour or sixteen minutes, Yeah one." - }, - { - "start": "21:25.32", - "stop": "21:29.04", - "speaker": "Tutor", - "dialogue": "Hour and both of those mean the same thing, right, sixty minutes or one hour." - }, - { - "start": "21:30.36", - "stop": "21:38.56", - "speaker": "Tutor", - "dialogue": "But if we're measuring speed and miles per hour, that means we need to know the relationship of miles per one hour." - }, - { - "start": "21:40.44", - "stop": "21:42.96", - "speaker": "Tutor", - "dialogue": "So how fast is the car going from A to?" - }, - { - "start": "21:43.04", - "stop": "21:45.84", - "speaker": "Student", - "dialogue": "B, it's going pretty Fa." - }, - { - "start": "21:46.08", - "stop": "21:53.68", - "speaker": "Student", - "dialogue": "it's goingw." - }, - { - "start": "21:53.80", - "stop": "21:54.12", - "speaker": "Tutor", - "dialogue": "Fast." - }, - { - "start": "22:08.44", - "stop": "22:08.64", - "speaker": "Student", - "dialogue": "Could?" - }, - { - "start": "22:08.72", - "stop": "22:08.76", - "speaker": "Tutor", - "dialogue": "It." - }, - { - "start": "22:08.92", - "stop": "22:25.32", - "speaker": "Student", - "dialogue": "Be like, um, ten miles per minute, but if like, you'd look at in that way, 'cause in one hour they're sixty minutes, and the grapht you would know how much they're going per minute to find out the miles." - }, - { - "start": "22:25.80", - "stop": "22:29.04", - "speaker": "Tutor", - "dialogue": "Yeah, we can find out how many miles they've traveled per minute." - }, - { - "start": "22:29.48", - "stop": "22:45.04", - "speaker": "Tutor", - "dialogue": "Absolutely, if we want to find out this unit of miles per hour, we would want to know how many miles the car has traveled in one hour, or how many miles it would have traveleed" - }, - { - "start": "22:45.12", - "stop": "22:56.00", - "speaker": "Tutor", - "dialogue": "if it continued at that same rate for one hour, So from A to B, do we know how many miles the car traveled in one hourse we." - }, - { - "start": "22:56.16", - "stop": "23:01.24", - "speaker": "Student", - "dialogue": "Do um, if it went fifty miles." - }, - { - "start": "23:02.08", - "stop": "23:03.04", - "speaker": "Tutor", - "dialogue": "In how much time?" - }, - { - "start": "23:03.88", - "stop": "23:05.20", - "speaker": "Student", - "dialogue": "In one hour, Yup." - }, - { - "start": "23:05.84", - "stop": "23:09.04", - "speaker": "Tutor", - "dialogue": "So that means we know the speed of the car." - }, - { - "start": "23:10.04", - "stop": "23:14.12", - "speaker": "Tutor", - "dialogue": "The speed of the car is fifty miles per hour." - }, - { - "start": "23:14.96", - "stop": "23:23.00", - "speaker": "Tutor", - "dialogue": "I'm going to put that up herell." - }, - { - "start": "23:23.12", - "stop": "23:23.20", - "speaker": "Student", - "dialogue": "Right?" - }, - { - "start": "23:23.24", - "stop": "23:24.68", - "speaker": "Tutor", - "dialogue": "Do you see what I added to this box?" - }, - { - "start": "23:26.20", - "stop": "23:26.40", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "23:27.60", - "stop": "23:36.48", - "speaker": "Tutor", - "dialogue": "My question to you about the speed now from A to B. does this line mean the speed is changing or staying the same?" - }, - { - "start": "23:40.40", - "stop": "23:45.08", - "speaker": "Student", - "dialogue": "I think it staying the sameed." - }, - { - "start": "23:45.52", - "stop": "23:46.60", - "speaker": "Student", - "dialogue": "It's umpy." - }, - { - "start": "23:47.68", - "stop": "24:03.88", - "speaker": "Tutor", - "dialogue": "Yeah, it's that that that linear relationship that creates that straight line, Y is telling us that the car is moving at a constant rate, which you started talking about in the very beginning of our time together." - }, - { - "start": "24:04.00", - "stop": "24:04.68", - "speaker": "Tutor", - "dialogue": "Do you remember that?" - }, - { - "start": "24:05.32", - "stop": "24:07.04", - "speaker": "Tutor", - "dialogue": "Yeah, Yeah, so your brain was like" - }, - { - "start": "24:07.12", - "stop": "24:09.24", - "speaker": "Tutor", - "dialogue": "this has something to do with rate, right?" - }, - { - "start": "24:10.04", - "stop": "24:10.24", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "24:10.64", - "stop": "24:19.84", - "speaker": "Tutor", - "dialogue": "The rate of the of this situation is the relationship between miles and hours, which happens to be speed." - }, - { - "start": "24:20.80", - "stop": "24:30.76", - "speaker": "Tutor", - "dialogue": "So speed is the rate, and this line here tells us that it's a constant rate, so that mean the speed is not changing." - }, - { - "start": "24:31.12", - "stop": "24:36.48", - "speaker": "Tutor", - "dialogue": "It's staying the same from A to B. So have you ever been in a car?" - }, - { - "start": "24:37.28", - "stop": "24:38.96", - "speaker": "Tutor", - "dialogue": "Yeah, do you know what cruise control?" - }, - { - "start": "24:39.12", - "stop": "24:41.12", - "speaker": "Student", - "dialogue": "Is cruise control?" - }, - { - "start": "24:41.40", - "stop": "24:44.52", - "speaker": "Student", - "dialogue": "Yeah, It's like auto pilo, like ites by." - }, - { - "start": "24:45.72", - "stop": "24:48.96", - "speaker": "Tutor", - "dialogue": "You push a button and it makes the car stay at a constant speed." - }, - { - "start": "24:49.36", - "stop": "24:51.68", - "speaker": "Tutor", - "dialogue": "You don't have to keep putting your foot on the gas or brake." - }, - { - "start": "24:52.76", - "stop": "25:06.32", - "speaker": "Tutor", - "dialogue": "Yeah, so from A to B, the car is travelling fifty miles an hour at a constant speed of fifty miles an hour, so it's not speeding up or slowing down from D to E. Is the car speeding up or slowing down?" - }, - { - "start": "25:07.12", - "stop": "25:10.60", - "speaker": "Tutor", - "dialogue": "Yes, So is it moving at a constant rate or a constant speed?" - }, - { - "start": "25:12.24", - "stop": "25:20.68", - "speaker": "Tutor", - "dialogue": "No, So the speed is changing from D to e. Yes, I have one more question before I uncover something else." - }, - { - "start": "25:23.32", - "stop": "25:27.84", - "speaker": "Tutor", - "dialogue": "How come from A to B?" - }, - { - "start": "25:28.12", - "stop": "25:28.32", - "speaker": "Tutor", - "dialogue": "Here?" - }, - { - "start": "25:30.20", - "stop": "25:31.24", - "speaker": "Tutor", - "dialogue": "the line is Kirby." - }, - { - "start": "25:32.68", - "stop": "25:35.20", - "speaker": "Tutor", - "dialogue": "I didn't do a very good job of following the curve of the line." - }, - { - "start": "25:36.72", - "stop": "25:41.72", - "speaker": "Student", - "dialogue": "I think it could be Kirby because of the pathway caause, That's like the road." - }, - { - "start": "25:41.96", - "stop": "25:48.04", - "speaker": "Student", - "dialogue": "but while this, the graph is just showing like the miles, it's not really showing the miles in the map." - }, - { - "start": "25:49.40", - "stop": "25:50.80", - "speaker": "Tutor", - "dialogue": "It's not showing the miles in the map." - }, - { - "start": "25:50.88", - "stop": "25:52.12", - "speaker": "Tutor", - "dialogue": "It's only showing it in the graph." - }, - { - "start": "25:53.20", - "stop": "25:55.96", - "speaker": "Student", - "dialogue": "Yeahw." - }, - { - "start": "25:56.00", - "stop": "25:57.60", - "speaker": "Tutor", - "dialogue": "Many miles has the car traveled." - }, - { - "start": "26:00.28", - "stop": "26:03.40", - "speaker": "Student", - "dialogue": "Far total from A to a F." - }, - { - "start": "26:03.80", - "stop": "26:07.20", - "speaker": "Tutor", - "dialogue": "No, just A to B. Can you peat that?" - }, - { - "start": "26:07.48", - "stop": "26:10.80", - "speaker": "Tutor", - "dialogue": "Yup just from A to B. How many miles has the car traveled?" - }, - { - "start": "26:11.36", - "stop": "26:12.12", - "speaker": "Student", - "dialogue": "Fifty miles." - }, - { - "start": "26:12.80", - "stop": "26:29.20", - "speaker": "Tutor", - "dialogue": "So this is representing the car travelling fifty miles, and this is representing the car traveling fifty miles, Y. So how come it's a curvey line here and a straight line here?" - }, - { - "start": "26:41.92", - "stop": "26:52.68", - "speaker": "Student", - "dialogue": "I think it's because it's a map and not like the graph, because in the graph they're showing like how many miles they're going per hour, even though it would show like it's going fifty miles." - }, - { - "start": "26:53.12", - "stop": "26:58.00", - "speaker": "Student", - "dialogue": "It's not showing if the the car is constant or's um." - }, - { - "start": "26:58.24", - "stop": "26:58.60", - "speaker": "Student", - "dialogue": "varying." - }, - { - "start": "26:59.76", - "stop": "27:01.48", - "speaker": "Tutor", - "dialogue": "The car, that's constant or varying." - }, - { - "start": "27:02.88", - "stop": "27:06.28", - "speaker": "Tutor", - "dialogue": "Yeah, and even more specifically the speed of the car." - }, - { - "start": "27:08.52", - "stop": "27:23.28", - "speaker": "Tutor", - "dialogue": "Yes, so the map is keeping track of the actual shape of the road, but the graph is keeping track of the relationship of how distance and time are changing together, which is telling us the speed of the car." - }, - { - "start": "27:24.48", - "stop": "27:25.52", - "speaker": "Tutor", - "dialogue": "Yeah, cool." - }, - { - "start": "27:26.48", - "stop": "27:26.84", - "speaker": "Tutor", - "dialogue": "all right." - }, - { - "start": "27:27.04", - "stop": "27:30.36", - "speaker": "Tutor", - "dialogue": "So now we're going to be thinking about speed before we do." - }, - { - "start": "27:31.04", - "stop": "27:32.60", - "speaker": "Tutor", - "dialogue": "I want to recap a graph." - }, - { - "start": "27:33.36", - "stop": "27:35.96", - "speaker": "Tutor", - "dialogue": "Do you know what a graph does or what a graph keeps track?" - }, - { - "start": "27:36.04", - "stop": "27:46.56", - "speaker": "Student", - "dialogue": "Of, it's like a organizer between, like relationship between two things, like, for here" - }, - { - "start": "27:46.64", - "stop": "27:47.48", - "speaker": "Student", - "dialogue": "it's a speed." - }, - { - "start": "27:48.72", - "stop": "27:51.92", - "speaker": "Tutor", - "dialogue": "Yeah, you used a very powerful word relationship." - }, - { - "start": "27:53.40", - "stop": "27:57.48", - "speaker": "Tutor", - "dialogue": "A graph will describe the relationship of a lot of things." - }, - { - "start": "27:58.44", - "stop": "28:02.60", - "speaker": "Tutor", - "dialogue": "So on one axis we have something that is changing." - }, - { - "start": "28:03.52", - "stop": "28:05.00", - "speaker": "Tutor", - "dialogue": "in this particular situation." - }, - { - "start": "28:05.08", - "stop": "28:07.20", - "speaker": "Tutor", - "dialogue": "It's distance and we're using miles." - }, - { - "start": "28:07.72", - "stop": "28:12.52", - "speaker": "Tutor", - "dialogue": "But this one axis is always describing how one thing is changing." - }, - { - "start": "28:13.92", - "stop": "28:26.16", - "speaker": "Tutor", - "dialogue": "The other axis is describing how another thing is changing, and what's in the middle is describing the relationship of how these two things are changing together." - }, - { - "start": "28:27.56", - "stop": "28:33.04", - "speaker": "Tutor", - "dialogue": "So whenever you see a graph, no matter what the things are, it could be height." - }, - { - "start": "28:33.56", - "stop": "28:34.44", - "speaker": "Tutor", - "dialogue": "it could be weight." - }, - { - "start": "28:35.04", - "stop": "28:37.64", - "speaker": "Tutor", - "dialogue": "It could be all sorts of different things." - }, - { - "start": "28:38.28", - "stop": "28:42.40", - "speaker": "Tutor", - "dialogue": "But one W. I encourage you to think about" - }, - { - "start": "28:42.64", - "stop": "28:45.16", - "speaker": "Tutor", - "dialogue": "what's the thing, And how is it changing?" - }, - { - "start": "28:45.68", - "stop": "28:48.00", - "speaker": "Tutor", - "dialogue": "Is it increasing, decreasing or staying the same?" - }, - { - "start": "28:48.92", - "stop": "28:49.80", - "speaker": "Tutor", - "dialogue": "What's the other thing?" - }, - { - "start": "28:50.32", - "stop": "28:53.96", - "speaker": "Tutor", - "dialogue": "How is it changing, increasing, decreasing or staying the same." - }, - { - "start": "28:54.56", - "stop": "28:57.92", - "speaker": "Tutor", - "dialogue": "And then how are those two things changing together?" - }, - { - "start": "28:59.84", - "stop": "29:00.64", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "29:01.44", - "stop": "29:01.60", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "29:03.04", - "stop": "29:08.12", - "speaker": "Tutor", - "dialogue": "Sometimes we think graphs are just about putting a point or plotting ordered pairs, and then connecting lines." - }, - { - "start": "29:08.84", - "stop": "29:13.84", - "speaker": "Tutor", - "dialogue": "Making sense of graphs is thinking about the relationship of how the things are changing." - }, - { - "start": "29:15.36", - "stop": "29:20.88", - "speaker": "Tutor", - "dialogue": "Yes, so now you're going to create your own graphk." - }, - { - "start": "29:21.32", - "stop": "29:21.36", - "speaker": "Student", - "dialogue": "And?" - }, - { - "start": "29:21.56", - "stop": "29:28.68", - "speaker": "Tutor", - "dialogue": "This graph is going to keep track of how time is changing and how speed is changing in this same situation." - }, - { - "start": "29:34.88", - "stop": "29:40.28", - "speaker": "Tutor", - "dialogue": "So if you want some time to think, feel free and then sketch what you think the graph would look like." - }, - { - "start": "29:41.12", - "stop": "29:43.36", - "speaker": "Tutor", - "dialogue": "Is the speed staying the same the whole journey?" - }, - { - "start": "29:45.56", - "stop": "29:55.60", - "speaker": "Tutor", - "dialogue": "No, Ah, so your graph is going to have to show how speed is changing, then yes, allright." - }, - { - "start": "30:13.88", - "stop": "30:13.92", - "speaker": "Student", - "dialogue": "Do" - }, - { - "start": "30:14.08", - "stop": "30:17.00", - "speaker": "Student", - "dialogue": "I keep the milesm and the time sane?" - }, - { - "start": "30:17.68", - "stop": "30:18.32", - "speaker": "Tutor", - "dialogue": "What do you mean?" - }, - { - "start": "30:19.20", - "stop": "30:24.44", - "speaker": "Student", - "dialogue": "Like I'm making it for this right, The problem about the journey." - }, - { - "start": "30:24.92", - "stop": "30:35.48", - "speaker": "Tutor", - "dialogue": "Yeah, it's about the same situation, so altogether the journey took us four hours, but you're not keeping track of just miles anymore." - }, - { - "start": "30:35.80", - "stop": "30:37.36", - "speaker": "Tutor", - "dialogue": "You're keeping track of the speed." - }, - { - "start": "31:51.48", - "stop": "31:54.96", - "speaker": "Tutor", - "dialogue": "What's the fastest you think the car is going in this trip?" - }, - { - "start": "31:56.80", - "stop": "32:01.44", - "speaker": "Student", - "dialogue": "I think it's going fifty miles perur." - }, - { - "start": "32:01.56", - "stop": "32:02.44", - "speaker": "Student", - "dialogue": "it's fastest." - }, - { - "start": "32:02.88", - "stop": "32:20.28", - "speaker": "Tutor", - "dialogue": "Ok, so on your graph, will you need to have a spot that shows a carging a hundred miles an hour, or a hundred and fifty miles an hour, you can." - }, - { - "start": "32:20.52", - "stop": "32:22.80", - "speaker": "Tutor", - "dialogue": "If it's going to help us make sense of this situation." - }, - { - "start": "32:24.32", - "stop": "32:25.08", - "speaker": "Tutor", - "dialogue": "I'm just wondering" - }, - { - "start": "32:25.24", - "stop": "32:29.64", - "speaker": "Tutor", - "dialogue": "if the car will ever be going that fast, So will it ever show up on the graph." - }, - { - "start": "32:34.20", - "stop": "32:39.28", - "speaker": "Student", - "dialogue": "Well, at D point, it does go a hundred, so it would be necessary." - }, - { - "start": "32:39.84", - "stop": "32:43.20", - "speaker": "Tutor", - "dialogue": "Okay, let's look at D at D. It's a hundred." - }, - { - "start": "32:43.36", - "stop": "32:46.28", - "speaker": "Student", - "dialogue": "What miles?" - }, - { - "start": "32:47.84", - "stop": "32:48.12", - "speaker": "Tutor", - "dialogue": "And is?" - }, - { - "start": "32:48.68", - "stop": "32:50.52", - "speaker": "Student", - "dialogue": "That's like, per, not per hour." - }, - { - "start": "32:50.80", - "stop": "32:51.28", - "speaker": "Student", - "dialogue": "That's just." - }, - { - "start": "32:52.36", - "stop": "32:54.24", - "speaker": "Tutor", - "dialogue": "Ah, that's the total distance from where." - }, - { - "start": "32:55.52", - "stop": "32:56.72", - "speaker": "Student", - "dialogue": "From C to D." - }, - { - "start": "32:57.56", - "stop": "33:00.24", - "speaker": "Tutor", - "dialogue": "So from C to D, the car travels a hundred miles." - }, - { - "start": "33:01.04", - "stop": "33:05.28", - "speaker": "Tutor", - "dialogue": "Yeah, or from the beginning the car travelsginning." - }, - { - "start": "33:05.64", - "stop": "33:05.88", - "speaker": "Student", - "dialogue": "Ah." - }, - { - "start": "33:06.32", - "stop": "33:15.12", - "speaker": "Tutor", - "dialogue": "So if we wanted to figure out the speed of the car from C to D, how could we do thatould?" - }, - { - "start": "33:16.60", - "stop": "33:16.64", - "speaker": "Student", - "dialogue": "M." - }, - { - "start": "33:17.00", - "stop": "33:17.20", - "speaker": "Tutor", - "dialogue": "Make." - }, - { - "start": "33:17.36", - "stop": "33:23.48", - "speaker": "Student", - "dialogue": "Like the time higher, but it would stay at fifty." - }, - { - "start": "33:29.08", - "stop": "33:30.28", - "speaker": "Student", - "dialogue": "Can you repeat your question?" - }, - { - "start": "33:30.60", - "stop": "33:38.32", - "speaker": "Tutor", - "dialogue": "Yeah, so I know that you're trying to figure out how to scale or what to put down here for speed right?" - }, - { - "start": "33:39.28", - "stop": "33:48.24", - "speaker": "Tutor", - "dialogue": "Yes, so let's think about the journey because if we were going to do the speed of like a snail, we wouldn't need" - }, - { - "start": "33:48.40", - "stop": "33:56.52", - "speaker": "Tutor", - "dialogue": "fifty miles an hour, Because a snail never goes that fast, Right, Our scale would be much smaller because a snail moves so slow." - }, - { - "start": "33:57.88", - "stop": "34:03.28", - "speaker": "Tutor", - "dialogue": "If we wereing to do the speed of an airplane, we would need much bigger intervals" - }, - { - "start": "34:03.32", - "stop": "34:15.96", - "speaker": "Tutor", - "dialogue": "because an airplane goes a lot faster, So I hear your brain trying to think about how fast is the car going in this situation to determine what scale I should use down here." - }, - { - "start": "34:17.72", - "stop": "34:28.04", - "speaker": "Student", - "dialogue": "Okay, um, I think it could go by tens, but um, either having fifty almost close to the end or like at the very end where one fifty is." - }, - { - "start": "34:29.00", - "stop": "34:31.64", - "speaker": "Tutor", - "dialogue": "Because you think the car is never going to go faster than fifty?" - }, - { - "start": "34:32.80", - "stop": "34:35.08", - "speaker": "Tutor", - "dialogue": "Yeah, let's prove it." - }, - { - "start": "34:35.84", - "stop": "34:38.48", - "speaker": "Tutor", - "dialogue": "Where do you think the car is going the fastest on this graph?" - }, - { - "start": "34:39.76", - "stop": "34:51.20", - "speaker": "Student", - "dialogue": "And going, I think, the faster, well, um, from A to b and c to D. it's like, kind of the same, They're both going fifty miles per hour." - }, - { - "start": "34:53.52", - "stop": "34:55.16", - "speaker": "Tutor", - "dialogue": "They were both going fifty miles per hour." - }, - { - "start": "34:57.96", - "stop": "35:03.32", - "speaker": "Student", - "dialogue": "So, Um, in the miles you can see like it from A to B, it's fifty miles" - }, - { - "start": "35:03.40", - "stop": "35:11.20", - "speaker": "Student", - "dialogue": "And then, since it would still be at fifty miles at C, and it goes to a hundred, that means the distance between them is fifty miles." - }, - { - "start": "35:11.88", - "stop": "35:13.40", - "speaker": "Tutor", - "dialogue": "And how did you know it was one hour?" - }, - { - "start": "35:13.76", - "stop": "35:16.08", - "speaker": "Tutor", - "dialogue": "How did you know the distance between C and D was one hour?" - }, - { - "start": "35:20.00", - "stop": "35:24.20", - "speaker": "Student", - "dialogue": "Oh, and the time it start Um from C, Its" - }, - { - "start": "35:24.28", - "stop": "35:27.80", - "speaker": "Student", - "dialogue": "like one thirty at D, it two thirty." - }, - { - "start": "35:28.24", - "stop": "35:32.80", - "speaker": "Tutor", - "dialogue": "Beautiful, you can also look at at the slope or the slant of the line." - }, - { - "start": "35:33.92", - "stop": "35:36.96", - "speaker": "Tutor", - "dialogue": "Does the slant of this line look the same as the slant of this line?" - }, - { - "start": "35:37.88", - "stop": "35:38.04", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "35:38.48", - "stop": "35:42.96", - "speaker": "Tutor", - "dialogue": "And if the line was more flat, would the car be going faster or slower?" - }, - { - "start": "35:45.76", - "stop": "35:47.12", - "speaker": "Student", - "dialogue": "It would be going slower." - }, - { - "start": "35:47.48", - "stop": "35:53.04", - "speaker": "Tutor", - "dialogue": "And if the line was more steep, would the car be going faster or slower?" - }, - { - "start": "35:53.84", - "stop": "35:54.60", - "speaker": "Student", - "dialogue": "Faster, yeah." - }, - { - "start": "35:55.28", - "stop": "35:55.60", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "35:55.92", - "stop": "36:02.76", - "speaker": "Tutor", - "dialogue": "Okay, so you think it's not going to go any faster than fifty, because the line isn't sloped any steeper." - }, - { - "start": "36:03.72", - "stop": "36:03.88", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "36:04.48", - "stop": "36:08.68", - "speaker": "Tutor", - "dialogue": "Cool, all right, so that means you want to revise your graph." - }, - { - "start": "36:09.56", - "stop": "37:12.32", - "speaker": "Student", - "dialogue": "Yes, I'm not sure how to do the speed, um, cause, like, as you know, a will fifty, so, Um, should I do it by tens?" - }, - { - "start": "37:12.72", - "stop": "37:17.32", - "speaker": "Tutor", - "dialogue": "Or yep, you could do you." - }, - { - "start": "37:17.64", - "stop": "37:21.76", - "speaker": "Tutor", - "dialogue": "You've already said you know at the end over here is going to be what?" - }, - { - "start": "37:23.32", - "stop": "37:28.44", - "speaker": "Tutor", - "dialogue": "Fifty, cool, So you can put fifty right there, and then you can choose to just put one more mark in between" - }, - { - "start": "37:28.52", - "stop": "37:31.88", - "speaker": "Tutor", - "dialogue": "if you want, Because this is a sketch, or you can do it by tens." - }, - { - "start": "37:31.88", - "stop": "39:26.24", - "speaker": "Tutor", - "dialogue": "If that helps you make sense of it, better tell me what those pointsy're representing." - }, - { - "start": "39:26.92", - "stop": "39:39.36", - "speaker": "Student", - "dialogue": "Okay, um, the points are showing the miles that it's going, so in one hour it stays at fifty, Um, and Oh, From B C it" - }, - { - "start": "39:39.84", - "stop": "39:48.36", - "speaker": "Student", - "dialogue": "it's constant, so I'm not really sure how to P B, C, Bt, C ho." - }, - { - "start": "39:48.84", - "stop": "39:50.60", - "speaker": "Tutor", - "dialogue": "So let's go back over here to what you wrote" - }, - { - "start": "39:50.64", - "stop": "39:51.08", - "speaker": "Tutor", - "dialogue": "In words." - }, - { - "start": "39:52.92", - "stop": "39:57.80", - "speaker": "Tutor", - "dialogue": "What's happening from B to C, And how fast is the car going from B to see?" - }, - { - "start": "39:58.64", - "stop": "40:05.00", - "speaker": "Student", - "dialogue": "Well, the car is, Um, staying the same, but the time is going by thirty minutes." - }, - { - "start": "40:05.56", - "stop": "40:08.56", - "speaker": "Tutor", - "dialogue": "So if the car is staying, the same hasn't moved at all." - }, - { - "start": "40:10.08", - "stop": "40:10.24", - "speaker": "Student", - "dialogue": "No." - }, - { - "start": "40:11.48", - "stop": "40:16.88", - "speaker": "Tutor", - "dialogue": "So, or the miles are staying the same, so that means if the car hasn't moved how fast is it going?" - }, - { - "start": "40:20.04", - "stop": "40:34.88", - "speaker": "Tutor", - "dialogue": "Not Yeah, at zero miles per hour, So how can you show the car going zero miles per hour from one hour into the journey to an hour and a half?" - }, - { - "start": "40:35.96", - "stop": "40:38.36", - "speaker": "Student", - "dialogue": "I can Pt" - }, - { - "start": "40:38.56", - "stop": "40:38.88", - "speaker": "Student", - "dialogue": "a pon." - }, - { - "start": "40:58.72", - "stop": "41:00.76", - "speaker": "Tutor", - "dialogue": "Al right, so I want you to stop right here for a second." - }, - { - "start": "41:02.96", - "stop": "41:20.60", - "speaker": "Tutor", - "dialogue": "I totally understand where your points are coming from, and now I want to know where is this section on your graph, So from A to B, the car is travelling fifty miles per hour at a constant speed." - }, - { - "start": "41:23.36", - "stop": "41:25.20", - "speaker": "Tutor", - "dialogue": "How could you show that in your graph?" - }, - { - "start": "41:26.68", - "stop": "41:31.88", - "speaker": "Student", - "dialogue": "You can make a line right here over here." - }, - { - "start": "41:41.28", - "stop": "41:41.96", - "speaker": "Tutor", - "dialogue": "Are you drawn it?" - }, - { - "start": "41:43.08", - "stop": "41:49.96", - "speaker": "Tutor", - "dialogue": "O? All right, so let's check here." - }, - { - "start": "41:51.08", - "stop": "41:53.84", - "speaker": "Tutor", - "dialogue": "How fast is the car going from Adabe?" - }, - { - "start": "41:54.68", - "stop": "41:55.52", - "speaker": "Student", - "dialogue": "Fifty miles." - }, - { - "start": "41:55.88", - "stop": "41:59.04", - "speaker": "Tutor", - "dialogue": "And is the speed of the car changing or staying the same from aighteb?" - }, - { - "start": "42:00.04", - "stop": "42:01.08", - "speaker": "Student", - "dialogue": "It's stay the same." - }, - { - "start": "42:01.52", - "stop": "42:03.84", - "speaker": "Tutor", - "dialogue": "So it's going fifty miles per hour this whole time." - }, - { - "start": "42:03.96", - "stop": "42:05.08", - "speaker": "Tutor", - "dialogue": "it's on cruise control." - }, - { - "start": "42:06.12", - "stop": "42:09.84", - "speaker": "Tutor", - "dialogue": "Yeah, that means thirty minutes into the trip." - }, - { - "start": "42:10.04", - "stop": "42:11.76", - "speaker": "Tutor", - "dialogue": "The car still going fifty miles an hour." - }, - { - "start": "42:13.72", - "stop": "42:14.88", - "speaker": "Student", - "dialogue": "Can you pick themy?" - }, - { - "start": "42:15.16", - "stop": "42:18.08", - "speaker": "Tutor", - "dialogue": "Sure, so that means thirty minutes into the trip." - }, - { - "start": "42:18.40", - "stop": "42:20.52", - "speaker": "Tutor", - "dialogue": "The car is still going fifty miles an hour." - }, - { - "start": "42:21.84", - "stop": "42:23.68", - "speaker": "Tutor", - "dialogue": "Yes, so let's look over here" - }, - { - "start": "42:24.32", - "stop": "42:25.44", - "speaker": "Tutor", - "dialogue": "thirty minutes into the trip" - }, - { - "start": "42:25.60", - "stop": "42:30.92", - "speaker": "Tutor", - "dialogue": "For you, you said the car is going about twenty five miles an hour." - }, - { - "start": "42:32.48", - "stop": "42:39.16", - "speaker": "Tutor", - "dialogue": "Y, so can the car be going twentyfive miles an hour and fifty miles an hour at the same time?" - }, - { - "start": "42:44.24", - "stop": "42:45.28", - "speaker": "Student", - "dialogue": "I don't think." - }, - { - "start": "42:45.48", - "stop": "42:51.32", - "speaker": "Tutor", - "dialogue": "So so how can you show the car fast?" - }, - { - "start": "42:51.40", - "stop": "42:52.48", - "speaker": "Tutor", - "dialogue": "Is the car going then from?" - }, - { - "start": "42:55.80", - "stop": "42:58.56", - "speaker": "Tutor", - "dialogue": "is it twenty-five miles an hour, or is it fifty miles an hour?" - }, - { - "start": "43:00.88", - "stop": "43:02.44", - "speaker": "Student", - "dialogue": "I think it would be twenty-five" - }, - { - "start": "43:04.08", - "stop": "43:05.28", - "speaker": "Tutor", - "dialogue": "That's what you showed here." - }, - { - "start": "43:06.04", - "stop": "43:10.12", - "speaker": "Tutor", - "dialogue": "What you said here and said here was something dient." - }, - { - "start": "43:21.40", - "stop": "43:30.56", - "speaker": "Student", - "dialogue": "I think it's because, Um, from the location, Um, from A to b. In total, they're going fifty miles, but if you look at the difference." - }, - { - "start": "43:38.84", - "stop": "43:41.32", - "speaker": "Tutor", - "dialogue": "You'r thinking over here was solid." - }, - { - "start": "43:41.72", - "stop": "43:47.56", - "speaker": "Tutor", - "dialogue": "The speed is fifty miles an hour, and it's staying the same that whole journey." - }, - { - "start": "43:47.76", - "stop": "43:48.60", - "speaker": "Tutor", - "dialogue": "That whole hour." - }, - { - "start": "43:49.08", - "stop": "43:50.52", - "speaker": "Tutor", - "dialogue": "It's going fifty miles an hour." - }, - { - "start": "43:51.00", - "stop": "43:53.12", - "speaker": "Tutor", - "dialogue": "Set the autopilot and it's just going." - }, - { - "start": "43:55.24", - "stop": "43:57.96", - "speaker": "Tutor", - "dialogue": "What if I told you, grafts don't have to start at the origin?" - }, - { - "start": "43:59.00", - "stop": "44:21.48", - "speaker": "Tutor", - "dialogue": "Grafts don't have to start here if they don't have to start here, And the scraft may look funkyer like something you've never seen before, but how can you show the car going fifty miles an hour, five minutes into the trip, ten minutes into the trip, thirty minutes into the trip all the way for that first hour?" - }, - { - "start": "44:47.00", - "stop": "44:48.28", - "speaker": "Student", - "dialogue": "I'm not sure that." - }, - { - "start": "44:49.12", - "stop": "44:51.68", - "speaker": "Tutor", - "dialogue": "So cool, your brain is trying to make sense of it right" - }, - { - "start": "44:51.76", - "stop": "44:57.84", - "speaker": "Tutor", - "dialogue": "now it can, and we are almost out of time, so I'm going to leave you with something to think." - }, - { - "start": "44:57.92", - "stop": "44:57.96", - "speaker": "Tutor", - "dialogue": "With." - }, - { - "start": "44:59.92", - "stop": "45:01.88", - "speaker": "Tutor", - "dialogue": "What does this length represent?" - }, - { - "start": "45:05.56", - "stop": "45:12.12", - "speaker": "Student", - "dialogue": "It repres, Oh, This could also represent the car going fifty miles." - }, - { - "start": "45:13.64", - "stop": "45:14.28", - "speaker": "Tutor", - "dialogue": "For how long?" - }, - { - "start": "45:15.40", - "stop": "45:16.28", - "speaker": "Student", - "dialogue": "For an hour, yeah." - }, - { - "start": "45:17.28", - "stop": "45:29.72", - "speaker": "Tutor", - "dialogue": "And then if I wanted to show the car is going zero miles an hour for the next thirty minutes, my graph can actually look like this, and the lines don't even have to connect." - }, - { - "start": "45:32.40", - "stop": "45:39.68", - "speaker": "Tutor", - "dialogue": "And then I can actually show the car going back to fifty miles an hour for the next hour." - }, - { - "start": "45:44.76", - "stop": "45:46.56", - "speaker": "Student", - "dialogue": "So when you do that, would you?" - }, - { - "start": "45:47.20", - "stop": "45:50.96", - "speaker": "Student", - "dialogue": "would you make the line connecting the fifty mileing?" - }, - { - "start": "45:51.40", - "stop": "45:57.40", - "speaker": "Tutor", - "dialogue": "No, because it's going fifty miles an hour and then it stops and then it goes fifty miles an hour" - }, - { - "start": "45:57.48", - "stop": "46:00.88", - "speaker": "Tutor", - "dialogue": "again, So you can have these little sections of a graph." - }, - { - "start": "46:01.40", - "stop": "46:03.44", - "speaker": "Tutor", - "dialogue": "It doesn't have to all be connected like this." - }, - { - "start": "46:07.00", - "stop": "46:17.96", - "speaker": "Tutor", - "dialogue": "Yeahy, so if you put yep, put a dot right there and then you would connect it up to here because that's an hour and a half into two and a half hours." - }, - { - "start": "46:19.12", - "stop": "46:21.88", - "speaker": "Tutor", - "dialogue": "Y, and this kind of graph has a special name." - }, - { - "start": "46:23.52", - "stop": "46:25.72", - "speaker": "Tutor", - "dialogue": "It's called a peacewise graph." - }, - { - "start": "46:27.88", - "stop": "46:28.04", - "speaker": "Tutor", - "dialogue": "Your." - }, - { - "start": "46:28.44", - "stop": "46:29.68", - "speaker": "Tutor", - "dialogue": "have you ever heard that word before?" - }, - { - "start": "46:30.40", - "stop": "46:32.28", - "speaker": "Student", - "dialogue": "No, but I've seen these type." - }, - { - "start": "46:32.36", - "stop": "46:38.40", - "speaker": "Tutor", - "dialogue": "Of, and you've probably seen em sideways, weor, the lines look like this." - }, - { - "start": "46:39.32", - "stop": "46:39.36", - "speaker": "Student", - "dialogue": "Yeah." - }, - { - "start": "46:39.92", - "stop": "46:46.56", - "speaker": "Tutor", - "dialogue": "Yeah, yeah, so graphs can look all sorts of different ways in school." - }, - { - "start": "46:46.72", - "stop": "46:49.76", - "speaker": "Tutor", - "dialogue": "Sometimes we see the same types of graph over and over and over." - }, - { - "start": "46:50.44", - "stop": "46:57.52", - "speaker": "Tutor", - "dialogue": "but you're going to start to see graphs that look really different and no matter what type of graph you have always remember" - }, - { - "start": "46:58.12", - "stop": "47:06.36", - "speaker": "Tutor", - "dialogue": "It's what is it representing relationship, relationship between how this thing and this thing are changing together." - }, - { - "start": "47:08.48", - "stop": "47:16.32", - "speaker": "Tutor", - "dialogue": "All right, think, Um, you know that you're helping us test out this platform in this way of thinking about learning, right?" - }, - { - "start": "47:17.16", - "stop": "47:17.32", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "47:17.68", - "stop": "47:22.08", - "speaker": "Tutor", - "dialogue": "So I just like to take a minute or so to hear what this experience was like for you." - }, - { - "start": "47:22.84", - "stop": "47:23.36", - "speaker": "Tutor", - "dialogue": "Do you feel?" - }, - { - "start": "47:24.44", - "stop": "47:25.56", - "speaker": "Student", - "dialogue": "I think it was really good" - }, - { - "start": "47:25.68", - "stop": "47:27.68", - "speaker": "Student", - "dialogue": "So far, Um, it's very interactive." - }, - { - "start": "47:28.28", - "stop": "47:28.40", - "speaker": "Student", - "dialogue": "Um." - }, - { - "start": "47:28.48", - "stop": "47:35.52", - "speaker": "Student", - "dialogue": "The Student and the teacher can really talk to each other, and the teacher can also see what the Student is understanding." - }, - { - "start": "47:36.20", - "stop": "47:37.16", - "speaker": "Student", - "dialogue": "Think it's really good." - }, - { - "start": "47:38.08", - "stop": "47:39.52", - "speaker": "Tutor", - "dialogue": "And that's very powerful." - }, - { - "start": "47:39.56", - "stop": "47:43.24", - "speaker": "Tutor", - "dialogue": "When you just said the St. The teacher can see what the Student is understanding." - }, - { - "start": "47:44.24", - "stop": "47:45.44", - "speaker": "Tutor", - "dialogue": "Yeah, I can get to see." - }, - { - "start": "47:45.48", - "stop": "47:46.84", - "speaker": "Tutor", - "dialogue": "you'r thinking li of it in action." - }, - { - "start": "47:46.88", - "stop": "47:47.76", - "speaker": "Tutor", - "dialogue": "And that's really cool." - }, - { - "start": "47:49.08", - "stop": "47:52.88", - "speaker": "Tutor", - "dialogue": "And is there something that you feel like you learned or you're thinking differently about now?" - }, - { - "start": "47:54.80", - "stop": "48:01.20", - "speaker": "Student", - "dialogue": "N, I think I guess I just learned a lat about Um, the piecewise graph the session." - }, - { - "start": "48:02.20", - "stop": "48:04.36", - "speaker": "Tutor", - "dialogue": "And that graphs don't have to start from zero." - }, - { - "start": "48:05.52", - "stop": "48:09.00", - "speaker": "Tutor", - "dialogue": "Yeah, and that graphs are representing things that are changing." - }, - { - "start": "48:09.84", - "stop": "48:11.24", - "speaker": "Tutor", - "dialogue": "Yeah, how they change together." - }, - { - "start": "48:12.28", - "stop": "48:12.60", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "48:13.28", - "stop": "48:16.04", - "speaker": "Tutor", - "dialogue": "Well, is there anything you think that we could do different to make it better?" - }, - { - "start": "48:17.20", - "stop": "48:18.56", - "speaker": "Student", - "dialogue": "No, I think it is pretty good." - }, - { - "start": "48:19.20", - "stop": "48:20.96", - "speaker": "Tutor", - "dialogue": "Well, if you think of anything, let us know." - }, - { - "start": "48:21.16", - "stop": "48:23.56", - "speaker": "Tutor", - "dialogue": "Okay, Okay, thank you for helping out." - }, - { - "start": "48:24.20", - "stop": "48:24.32", - "speaker": "Student", - "dialogue": "No" - }, - { - "start": "48:24.44", - "stop": "48:24.76", - "speaker": "Student", - "dialogue": "problem." - }, - { - "start": "48:24.84", - "stop": "48:25.48", - "speaker": "Student", - "dialogue": "have great day." - }, - { - "start": "48:25.64", - "stop": "48:25.68", - "speaker": "Tutor", - "dialogue": "You?" - } -] \ No newline at end of file diff --git a/data/amber/x4680.json b/data/amber/x4680.json deleted file mode 100644 index f293b06..0000000 --- a/data/amber/x4680.json +++ /dev/null @@ -1,2180 +0,0 @@ -[ - { - "start": "00:03.44", - "stop": "00:04.52", - "speaker": "Tutor", - "dialogue": "Okay, can you still hear me?" - }, - { - "start": "00:06.16", - "stop": "00:06.48", - "speaker": "Tutor", - "dialogue": "Perfect?" - }, - { - "start": "00:06.76", - "stop": "00:08.48", - "speaker": "Tutor", - "dialogue": "All right and I can see your arrow moving." - }, - { - "start": "00:08.64", - "stop": "00:09.36", - "speaker": "Tutor", - "dialogue": "Do you see mine?" - }, - { - "start": "00:11.04", - "stop": "00:12.24", - "speaker": "Tutor", - "dialogue": "Nice, um." - }, - { - "start": "00:12.48", - "stop": "00:13.40", - "speaker": "Tutor", - "dialogue": "On the left hand side" - }, - { - "start": "00:13.48", - "stop": "00:15.08", - "speaker": "Tutor", - "dialogue": "Over here are your tools." - }, - { - "start": "00:15.76", - "stop": "00:21.96", - "speaker": "Tutor", - "dialogue": "There is a pencil button and when you click it, the color box and size box pops up here." - }, - { - "start": "00:22.40", - "stop": "00:29.52", - "speaker": "Tutor", - "dialogue": "If you want to change the color or size to anything that you're drawing, And then there's a textbox, which is the square with a t in it." - }, - { - "start": "00:30.00", - "stop": "00:36.04", - "speaker": "Tutor", - "dialogue": "If you decide that you'd rather type instead of draw, and then we're going to practice erasing something." - }, - { - "start": "00:36.84", - "stop": "00:38.72", - "speaker": "Tutor", - "dialogue": "Don't touch the trash can button." - }, - { - "start": "00:39.00", - "stop": "00:43.08", - "speaker": "Tutor", - "dialogue": "That will erase everything but cool." - }, - { - "start": "00:43.16", - "stop": "00:45.88", - "speaker": "Tutor", - "dialogue": "So draw something and then we'll erase what you drew." - }, - { - "start": "00:50.80", - "stop": "00:51.08", - "speaker": "Tutor", - "dialogue": "Nice." - }, - { - "start": "00:51.40", - "stop": "00:51.56", - "speaker": "Tutor", - "dialogue": "Now" - }, - { - "start": "00:51.72", - "stop": "00:56.28", - "speaker": "Tutor", - "dialogue": "To erase it, you have to select it first, so you use the top arrow, which is a select tool." - }, - { - "start": "00:57.04", - "stop": "01:01.60", - "speaker": "Tutor", - "dialogue": "Once it's selected, you can hit Delete or there you go." - }, - { - "start": "01:02.44", - "stop": "01:02.92", - "speaker": "Tutor", - "dialogue": "That works." - }, - { - "start": "01:03.92", - "stop": "01:05.12", - "speaker": "Tutor", - "dialogue": "Any questions on the tools?" - }, - { - "start": "01:06.80", - "stop": "01:11.00", - "speaker": "Tutor", - "dialogue": "Okay, so whatever you want to erase, just make sure you select it first." - }, - { - "start": "01:17.52", - "stop": "01:18.32", - "speaker": "Tutor", - "dialogue": "Um four?" - }, - { - "start": "01:18.60", - "stop": "01:21.96", - "speaker": "Tutor", - "dialogue": "Oh, are you talking about the second button down?" - }, - { - "start": "01:23.20", - "stop": "01:33.08", - "speaker": "Tutor", - "dialogue": "That is if you select something and then you want to move it all." - }, - { - "start": "01:33.20", - "stop": "01:33.32", - "speaker": "Tutor", - "dialogue": "right." - }, - { - "start": "01:33.92", - "stop": "01:39.40", - "speaker": "Tutor", - "dialogue": "Um, you can close your chat box if you want so that you have more space to work on the whiteboard." - }, - { - "start": "01:39.84", - "stop": "01:44.20", - "speaker": "Tutor", - "dialogue": "We're going to be talking back and forth like this, and I'll ask you a lot of questions." - }, - { - "start": "01:44.76", - "stop": "01:48.00", - "speaker": "Tutor", - "dialogue": "Um, when I ask you a question, it doesn't mean that you got something wrong." - }, - { - "start": "01:48.32", - "stop": "01:57.60", - "speaker": "Tutor", - "dialogue": "It just means I want to know more about your thinking, And then, because I can't see your face if I ask you something, and you're like, Um, Not sure." - }, - { - "start": "01:57.68", - "stop": "01:59.04", - "speaker": "Tutor", - "dialogue": "I need some time to think about it." - }, - { - "start": "01:59.52", - "stop": "02:03.60", - "speaker": "Tutor", - "dialogue": "Just voice that out loud so that I don't interrupt your thinking process." - }, - { - "start": "02:08.16", - "stop": "02:09.84", - "speaker": "Tutor", - "dialogue": "All right, I'm going to change a screen Now." - }, - { - "start": "02:11.24", - "stop": "02:12.84", - "speaker": "Tutor", - "dialogue": "Do you see something different on your screen?" - }, - { - "start": "02:18.36", - "stop": "02:24.00", - "speaker": "Tutor", - "dialogue": "Um, let me, how about this?" - }, - { - "start": "02:24.36", - "stop": "02:25.60", - "speaker": "Tutor", - "dialogue": "Do you see something different now?" - }, - { - "start": "02:26.80", - "stop": "02:40.68", - "speaker": "Tutor", - "dialogue": "Perfe, Okay, so take a minute to read it and look at it and then describe to me what you think is happening in this situationapshals?" - }, - { - "start": "02:40.72", - "stop": "02:47.48", - "speaker": "Student", - "dialogue": "Of car, journey from Provence or I to N throughout New New York City." - }, - { - "start": "02:50.60", - "stop": "02:52.40", - "speaker": "Tutor", - "dialogue": "So what's going on in this situation?" - }, - { - "start": "02:54.12", - "stop": "03:06.28", - "speaker": "Student", - "dialogue": "It's basically telling you to show you a car journey from Provence to New Yark, and there's this nation's, the New York City and N J. Turnpike." - }, - { - "start": "03:07.48", - "stop": "03:11.12", - "speaker": "Tutor", - "dialogue": "Okay, what are some things that we could measure in this situation?" - }, - { - "start": "03:12.52", - "stop": "03:13.76", - "speaker": "Student", - "dialogue": "Ieive." - }, - { - "start": "03:15.40", - "stop": "03:17.52", - "speaker": "Tutor", - "dialogue": "What do you think I ninety five represents?" - }, - { - "start": "03:20.16", - "stop": "03:21.00", - "speaker": "Tutor", - "dialogue": "Ah, cool." - }, - { - "start": "03:21.12", - "stop": "03:32.00", - "speaker": "Tutor", - "dialogue": "So the I ninety five is Interstate Ninety five, And it's the name of that entire road or interstate that they're taking." - }, - { - "start": "03:33.28", - "stop": "03:39.44", - "speaker": "Tutor", - "dialogue": "Yeah, so this entire thing right here that I'm pointing out that is all called I ninety five." - }, - { - "start": "03:41.32", - "stop": "03:44.36", - "speaker": "Tutor", - "dialogue": "Okay, so what are some things you think that we could measure?" - }, - { - "start": "03:47.16", - "stop": "03:48.08", - "speaker": "Student", - "dialogue": "I ninety five." - }, - { - "start": "03:48.60", - "stop": "03:50.24", - "speaker": "Tutor", - "dialogue": "Okay, what would we be measuring on?" - }, - { - "start": "03:50.36", - "stop": "03:50.40", - "speaker": "Tutor", - "dialogue": "I?" - }, - { - "start": "03:50.60", - "stop": "03:56.72", - "speaker": "Tutor", - "dialogue": "ninety five distancek, If we were going to measure the distance, what kind of units would we?" - }, - { - "start": "03:56.92", - "stop": "03:59.32", - "speaker": "Student", - "dialogue": "Use biosk." - }, - { - "start": "04:00.40", - "stop": "04:00.72", - "speaker": "Tutor", - "dialogue": "Col." - }, - { - "start": "04:01.44", - "stop": "04:04.84", - "speaker": "Tutor", - "dialogue": "Ok, are there other things that we could think about measuring in this situation?" - }, - { - "start": "04:08.60", - "stop": "04:08.88", - "speaker": "Student", - "dialogue": "Sure." - }, - { - "start": "04:09.36", - "stop": "04:16.28", - "speaker": "Tutor", - "dialogue": "Col, All right, I'm gonna uncover something now and tell me how it's similar or different to what you were thinking about." - }, - { - "start": "04:25.52", - "stop": "04:34.56", - "speaker": "Student", - "dialogue": "Okay, So instead of kilometers, they decide to use miles, Okay and they're traveling at a certain speed." - }, - { - "start": "04:37.36", - "stop": "04:38.40", - "speaker": "Tutor", - "dialogue": "Where did after?" - }, - { - "start": "04:39.32", - "stop": "04:39.72", - "speaker": "Tutor", - "dialogue": "I'm sorry" - }, - { - "start": "04:39.72", - "stop": "04:40.32", - "speaker": "Tutor", - "dialogue": "I interrupted you." - }, - { - "start": "04:40.52", - "stop": "04:41.00", - "speaker": "Tutor", - "dialogue": "Keep going." - }, - { - "start": "04:41.76", - "stop": "04:53.16", - "speaker": "Student", - "dialogue": "Uh, after, like around two and a half hours, the speed becomes B, siwly, wgly, and like, they're driving somewhat constant, somewhat not constant at the same time." - }, - { - "start": "04:54.72", - "stop": "04:59.04", - "speaker": "Tutor", - "dialogue": "Cool stuff, so I don't see speed labeled on this graph." - }, - { - "start": "04:59.40", - "stop": "05:01.72", - "speaker": "Tutor", - "dialogue": "Tell me how you understand or where you see speed." - }, - { - "start": "05:03.08", - "stop": "05:15.76", - "speaker": "Student", - "dialogue": "They bsically use distanceing time and hours, basically seeing how fast it took for Di to travel the distancing a certain time of hours, so basically it's just telling how fast it goes in speeding hours." - }, - { - "start": "05:16.92", - "stop": "05:21.28", - "speaker": "Tutor", - "dialogue": "Okay, weird for my, Yeah, can you point on the graph where you see speed?" - }, - { - "start": "05:25.32", - "stop": "05:26.08", - "speaker": "Student", - "dialogue": "So do I used to." - }, - { - "start": "05:26.56", - "stop": "05:29.48", - "speaker": "Tutor", - "dialogue": "So A, you can just use your." - }, - { - "start": "05:29.68", - "stop": "05:31.28", - "speaker": "Tutor", - "dialogue": "I can see your mouse when it's moving." - }, - { - "start": "05:32.44", - "stop": "05:34.40", - "speaker": "Tutor", - "dialogue": "Okay, So I see distance and I see time." - }, - { - "start": "05:35.32", - "stop": "05:36.20", - "speaker": "Tutor", - "dialogue": "Where is speed?" - }, - { - "start": "05:44.24", - "stop": "05:48.68", - "speaker": "Tutor", - "dialogue": "So you're saying speed is distance and speed is time." - }, - { - "start": "05:54.12", - "stop": "05:59.36", - "speaker": "Tutor", - "dialogue": "Okay, You said that like at two and a half hours something happens with speed." - }, - { - "start": "05:59.88", - "stop": "06:00.84", - "speaker": "Tutor", - "dialogue": "Where did you see that?" - }, - { - "start": "06:05.44", - "stop": "06:07.32", - "speaker": "Tutor", - "dialogue": "and what's going on with the speed there?" - }, - { - "start": "06:09.32", - "stop": "06:10.08", - "speaker": "Student", - "dialogue": "Inconsistent." - }, - { - "start": "06:11.56", - "stop": "06:19.92", - "speaker": "Tutor", - "dialogue": "Ah, so what's going on with the car from D to Eit?" - }, - { - "start": "06:21.36", - "stop": "06:21.52", - "speaker": "Student", - "dialogue": "Ok." - }, - { - "start": "06:21.84", - "stop": "06:23.96", - "speaker": "Tutor", - "dialogue": "And then you also use the word constant." - }, - { - "start": "06:24.84", - "stop": "06:25.92", - "speaker": "Tutor", - "dialogue": "What is constant?" - }, - { - "start": "06:26.04", - "stop": "06:26.92", - "speaker": "Tutor", - "dialogue": "And where do you see?" - }, - { - "start": "06:27.00", - "stop": "06:36.60", - "speaker": "Student", - "dialogue": "It could, basic, straight linenant, or like this, they just keep moving at a certain pace." - }, - { - "start": "06:37.76", - "stop": "06:40.48", - "speaker": "Tutor", - "dialogue": "So from a tob something is constant." - }, - { - "start": "06:41.20", - "stop": "06:58.52", - "speaker": "Tutor", - "dialogue": "What's the thing that'snstant from A to B Is distance itself constant or is distance increasing decreasing or staying the same?" - }, - { - "start": "07:02.36", - "stop": "07:03.28", - "speaker": "Tutor", - "dialogue": "Okay, Cool." - }, - { - "start": "07:03.52", - "stop": "07:07.68", - "speaker": "Tutor", - "dialogue": "So you know that there's something to do with speed on this graph, Something to do." - }, - { - "start": "07:07.80", - "stop": "07:11.36", - "speaker": "Tutor", - "dialogue": "I'm going to type some of these words just so we can keep track of them." - }, - { - "start": "07:11.96", - "stop": "07:17.44", - "speaker": "Tutor", - "dialogue": "Ooh, Whoa, all right, you have said speed." - }, - { - "start": "07:17.60", - "stop": "07:20.00", - "speaker": "Tutor", - "dialogue": "What's the unit we would use to keep track of speed?" - }, - { - "start": "07:27.44", - "stop": "07:37.76", - "speaker": "Tutor", - "dialogue": "Okay, so you have speed here and then you've also talked about something staying constant." - }, - { - "start": "07:41.16", - "stop": "07:44.36", - "speaker": "Tutor", - "dialogue": "Oh, I'm going to type that so we can keep track of it constant." - }, - { - "start": "07:45.20", - "stop": "07:48.76", - "speaker": "Tutor", - "dialogue": "Um, which could also be described as something is staying the same." - }, - { - "start": "07:50.92", - "stop": "07:53.00", - "speaker": "Tutor", - "dialogue": "Maybe things, some things are increasing." - }, - { - "start": "07:53.80", - "stop": "07:58.44", - "speaker": "Tutor", - "dialogue": "You talked about it from d to e. Maybe something's increasing or decreasing there." - }, - { - "start": "08:01.20", - "stop": "08:02.20", - "speaker": "Tutor", - "dialogue": "or it's not staying the same." - }, - { - "start": "08:02.24", - "stop": "08:05.96", - "speaker": "Tutor", - "dialogue": "At least all right, so we'll keep track of some ofse words and come back to them." - }, - { - "start": "08:06.04", - "stop": "08:06.32", - "speaker": "Tutor", - "dialogue": "Okay" - }, - { - "start": "08:08.92", - "stop": "08:13.04", - "speaker": "Tutor", - "dialogue": "From looking at the map and the graph, Describe" - }, - { - "start": "08:13.08", - "stop": "08:15.96", - "speaker": "Tutor", - "dialogue": "what's happening during each stage of the journey." - }, - { - "start": "08:18.32", - "stop": "08:39.36", - "speaker": "Student", - "dialogue": "During the first hour they're traveling a relative constant speed, Then I, I guess they stopped it and took like a break in around like half an hour, Then they, then they start moving again, then some around two and a half hours, which is right here." - }, - { - "start": "08:40.16", - "stop": "08:45.04", - "speaker": "Student", - "dialogue": "The something happened to the car where the driver or they start" - }, - { - "start": "08:45.32", - "stop": "08:50.84", - "speaker": "Student", - "dialogue": "driving inconsistently, the went back to a consistence pleace." - }, - { - "start": "08:52.36", - "stop": "08:55.20", - "speaker": "Tutor", - "dialogue": "Okay, is, I'm going to underline some more" - }, - { - "start": "08:55.28", - "stop": "08:56.36", - "speaker": "Tutor", - "dialogue": "so we have some purple words" - }, - { - "start": "08:56.40", - "stop": "09:00.24", - "speaker": "Tutor", - "dialogue": "Here, we have distance and miles, we have time and hours." - }, - { - "start": "09:00.56", - "stop": "09:02.28", - "speaker": "Tutor", - "dialogue": "we have speed and miles per hour." - }, - { - "start": "09:04.60", - "stop": "09:11.60", - "speaker": "Tutor", - "dialogue": "From A to B. Describe what's happening with distance, time and speed" - }, - { - "start": "09:12.24", - "stop": "09:17.20", - "speaker": "Tutor", - "dialogue": "using these purple power words, What's going on with each one of those things that's changing?" - }, - { - "start": "09:25.56", - "stop": "09:25.88", - "speaker": "Student", - "dialogue": "Can you" - }, - { - "start": "09:26.08", - "stop": "09:26.48", - "speaker": "Student", - "dialogue": "bera?" - }, - { - "start": "09:27.00", - "stop": "09:27.28", - "speaker": "Student", - "dialogue": "Sure?" - }, - { - "start": "09:27.44", - "stop": "09:34.12", - "speaker": "Tutor", - "dialogue": "Yeah, so in this situation we have distance that is somehow changing." - }, - { - "start": "09:35.00", - "stop": "09:41.68", - "speaker": "Tutor", - "dialogue": "We have time that is somehow changing, and we have speed that is somehow changing." - }, - { - "start": "09:42.80", - "stop": "09:54.68", - "speaker": "Tutor", - "dialogue": "And then we have different sections of the journey, so I'm wondering what's going on from A to B in terms of distance, time and speed?" - }, - { - "start": "09:55.84", - "stop": "09:58.84", - "speaker": "Tutor", - "dialogue": "So is each one of those things staying constant?" - }, - { - "start": "09:59.72", - "stop": "10:02.20", - "speaker": "Tutor", - "dialogue": "Orre they increasing, or are they decreasing?" - }, - { - "start": "10:05.60", - "stop": "10:16.60", - "speaker": "Student", - "dialogue": "For the first hour, the car was practically moving at relative speed of fifty miles per hour, and afterwards I'm pretty sure it decreased it." - }, - { - "start": "10:16.92", - "stop": "10:19.24", - "speaker": "Student", - "dialogue": "They, just, they just didn't move at all" - }, - { - "start": "10:19.44", - "stop": "10:25.64", - "speaker": "Student", - "dialogue": "Right after half an hour, Uh, they went back at the pace of another fifty miles per hour." - }, - { - "start": "10:25.88", - "stop": "10:26.12", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "10:27.24", - "stop": "10:32.48", - "speaker": "Student", - "dialogue": "We'm not exactly sure it's like fifty miles per hos, because this didn't reach the middle line." - }, - { - "start": "10:33.60", - "stop": "10:35.48", - "speaker": "Tutor", - "dialogue": "But you could estimate it to be about that." - }, - { - "start": "10:37.80", - "stop": "10:38.08", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "10:38.72", - "stop": "10:42.72", - "speaker": "Tutor", - "dialogue": "So from A to B is the car traveling fifty miles per hour?" - }, - { - "start": "10:43.12", - "stop": "10:44.28", - "speaker": "Tutor", - "dialogue": "This entire section?" - }, - { - "start": "10:46.04", - "stop": "10:46.32", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "10:46.80", - "stop": "10:49.96", - "speaker": "Tutor", - "dialogue": "Is distance from A to B staying the same?" - }, - { - "start": "10:50.60", - "stop": "10:50.64", - "speaker": "Tutor", - "dialogue": "Or" - }, - { - "start": "10:50.80", - "stop": "10:51.48", - "speaker": "Tutor", - "dialogue": "is it changing?" - }, - { - "start": "10:59.36", - "stop": "10:59.60", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "10:59.68", - "stop": "11:03.36", - "speaker": "Tutor", - "dialogue": "So the distance right?" - }, - { - "start": "11:03.72", - "stop": "11:07.64", - "speaker": "Tutor", - "dialogue": "So the speed is staying the same, but the distance is increasing." - }, - { - "start": "11:09.40", - "stop": "11:10.32", - "speaker": "Tutor", - "dialogue": "What about the time?" - }, - { - "start": "11:10.44", - "stop": "11:11.40", - "speaker": "Tutor", - "dialogue": "What's going on with it?" - }, - { - "start": "11:14.00", - "stop": "11:17.68", - "speaker": "Tutor", - "dialogue": "Okay and then you started to recognize that B to C. something's happening there." - }, - { - "start": "11:18.12", - "stop": "11:23.16", - "speaker": "Tutor", - "dialogue": "Yeah, so now on the map label, what's going on on the map?" - }, - { - "start": "11:23.32", - "stop": "11:26.60", - "speaker": "Tutor", - "dialogue": "So where would points A and B be located?" - }, - { - "start": "11:26.72", - "stop": "11:27.40", - "speaker": "Tutor", - "dialogue": "And how do you know?" - }, - { - "start": "11:31.88", - "stop": "11:32.36", - "speaker": "Tutor", - "dialogue": "No worries." - }, - { - "start": "11:49.88", - "stop": "11:50.16", - "speaker": "Tutor", - "dialogue": "cool." - }, - { - "start": "11:50.88", - "stop": "11:53.72", - "speaker": "Tutor", - "dialogue": "No, I understand, you have to take care of things, so don't apologize." - }, - { - "start": "11:53.76", - "stop": "11:54.20", - "speaker": "Tutor", - "dialogue": "It's fine." - }, - { - "start": "11:56.16", - "stop": "11:57.96", - "speaker": "Tutor", - "dialogue": "So where would you put point A?" - }, - { - "start": "11:58.28", - "stop": "12:13.00", - "speaker": "Tutor", - "dialogue": "B? Okay, So what point does that represent K?" - }, - { - "start": "12:13.36", - "stop": "12:14.32", - "speaker": "Tutor", - "dialogue": "And where would you put?" - }, - { - "start": "12:14.44", - "stop": "12:17.48", - "speaker": "Student", - "dialogue": "B, you should be here." - }, - { - "start": "12:19.08", - "stop": "12:20.52", - "speaker": "Tutor", - "dialogue": "Why did you choose to put it there?" - }, - { - "start": "12:22.76", - "stop": "12:27.56", - "speaker": "Student", - "dialogue": "Because if I' put it all somewhere over here, then that'll be way too much." - }, - { - "start": "12:29.44", - "stop": "12:30.80", - "speaker": "Tutor", - "dialogue": "How did you know it would be too much?" - }, - { - "start": "12:30.84", - "stop": "12:32.76", - "speaker": "Tutor", - "dialogue": "What were you thinking about to estimate that because?" - }, - { - "start": "12:32.84", - "stop": "12:39.20", - "speaker": "Student", - "dialogue": "If I put B, that means the exact distance has to cover for C and B has to be almost the exact same amount." - }, - { - "start": "12:39.92", - "stop": "12:40.28", - "speaker": "Student", - "dialogue": "Mini." - }, - { - "start": "12:40.52", - "stop": "12:41.48", - "speaker": "Student", - "dialogue": "it'll be Sommeran." - }, - { - "start": "12:41.76", - "stop": "12:43.84", - "speaker": "Student", - "dialogue": "They were already finished, a journey by the." - }, - { - "start": "12:44.08", - "stop": "12:46.96", - "speaker": "Tutor", - "dialogue": "And ah, okay, keep labeling your points." - }, - { - "start": "12:47.00", - "stop": "12:49.76", - "speaker": "Tutor", - "dialogue": "Where would C, d, E and F be located?" - }, - { - "start": "12:54.00", - "stop": "13:00.04", - "speaker": "Student", - "dialogue": "Since the C is also like where B is, so we just basically put where Um." - }, - { - "start": "13:01.36", - "stop": "13:04.60", - "speaker": "Student", - "dialogue": "We basically put C on exactly where B is due to." - }, - { - "start": "13:05.00", - "stop": "13:05.24", - "speaker": "Student", - "dialogue": "Okay." - }, - { - "start": "13:05.40", - "stop": "13:07.24", - "speaker": "Student", - "dialogue": "they basically stayed the same location." - }, - { - "start": "13:07.40", - "stop": "13:09.24", - "speaker": "Tutor", - "dialogue": "Because distance did not change." - }, - { - "start": "13:10.52", - "stop": "13:14.68", - "speaker": "Tutor", - "dialogue": "Yeah, so you can put sea and actually put a dot where you would see that point." - }, - { - "start": "13:14.84", - "stop": "13:18.92", - "speaker": "Tutor", - "dialogue": "Also, Yeah, where on the map would it?" - }, - { - "start": "13:19.00", - "stop": "13:36.12", - "speaker": "Student", - "dialogue": "Be should be Sim." - }, - { - "start": "14:00.08", - "stop": "14:03.12", - "speaker": "Tutor", - "dialogue": "Help me understand how you were thinking about where to put point." - }, - { - "start": "14:03.28", - "stop": "14:13.16", - "speaker": "Student", - "dialogue": "E, uh, point E is probably where they ha, like which, when it said D to e, they probably had some problems" - }, - { - "start": "14:13.28", - "stop": "14:17.80", - "speaker": "Student", - "dialogue": "with this part of the journey and I just put, I put it actu." - }, - { - "start": "14:18.64", - "stop": "14:20.24", - "speaker": "Student", - "dialogue": "I actually might want to change it." - }, - { - "start": "14:20.72", - "stop": "14:22.44", - "speaker": "Tutor", - "dialogue": "Okay, you want to revise your thinking?" - }, - { - "start": "14:23.52", - "stop": "14:23.68", - "speaker": "Student", - "dialogue": "Yes." - }, - { - "start": "14:31.36", - "stop": "14:33.60", - "speaker": "Tutor", - "dialogue": "Oh, why is that on the other side of New York City?" - }, - { - "start": "14:33.88", - "stop": "14:34.24", - "speaker": "Tutor", - "dialogue": "interesting?" - }, - { - "start": "14:36.28", - "stop": "14:43.12", - "speaker": "Student", - "dialogue": "Because of the because I got at this black mass right here, I'm pretty sure it's a pool of water." - }, - { - "start": "14:45.84", - "stop": "14:47.76", - "speaker": "Tutor", - "dialogue": "K, and if it's a pool?" - }, - { - "start": "14:49.20", - "stop": "14:53.44", - "speaker": "Student", - "dialogue": "Or some kind of terrain they had trouble." - }, - { - "start": "14:57.40", - "stop": "14:59.68", - "speaker": "Tutor", - "dialogue": "How do you know they have troubles from D to E?" - }, - { - "start": "15:00.00", - "stop": "15:01.88", - "speaker": "Tutor", - "dialogue": "What information were you going off of for that?" - }, - { - "start": "15:07.60", - "stop": "15:07.84", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "15:08.00", - "stop": "15:20.32", - "speaker": "Tutor", - "dialogue": "So because D to E was not a constant speed, something's going on in that stage of the journey that's causing M to stop and go, or speed up and slow downk." - }, - { - "start": "15:21.60", - "stop": "15:21.64", - "speaker": "Student", - "dialogue": "For." - }, - { - "start": "15:21.96", - "stop": "15:25.72", - "speaker": "Tutor", - "dialogue": "The entire journey does speed stay the same or does speed change?" - }, - { - "start": "15:28.12", - "stop": "15:29.16", - "speaker": "Student", - "dialogue": "For most of the part." - }, - { - "start": "15:32.60", - "stop": "15:45.64", - "speaker": "Tutor", - "dialogue": "Say more, so the speed was the same from those sections, but from the entire journey the speed does not stay the same." - }, - { - "start": "15:48.76", - "stop": "15:49.36", - "speaker": "Tutor", - "dialogue": "It's changing." - }, - { - "start": "15:51.64", - "stop": "15:57.64", - "speaker": "Tutor", - "dialogue": "so now you're going to create your own graph of this situation." - }, - { - "start": "16:02.92", - "stop": "16:19.00", - "speaker": "Tutor", - "dialogue": "So the speed of the car changing throughout the journey, and there are times that it's going faster and times that it's going slower, so take some time to sketch what you think the graph of the relationship between these two things would look." - }, - { - "start": "16:19.08", - "stop": "16:41.76", - "speaker": "Student", - "dialogue": "Like I prestul, all these were warn coud' pasent ma gsy." - }, - { - "start": "16:55.00", - "stop": "17:41.32", - "speaker": "Tutor", - "dialogue": "God, yep, you find it." - }, - { - "start": "17:42.72", - "stop": "17:46.52", - "speaker": "Tutor", - "dialogue": "Yeah, and don't worry about super tyight precision." - }, - { - "start": "17:46.72", - "stop": "17:49.32", - "speaker": "Tutor", - "dialogue": "You can just make a sketch the best you can to." - }, - { - "start": "17:49.64", - "stop": "17:51.64", - "speaker": "Tutor", - "dialogue": "I know it's kind of hard to draw with your mouse pad." - }, - { - "start": "18:14.24", - "stop": "18:20.48", - "speaker": "Tutor", - "dialogue": "Let's see, so you can click the top arrow to select it, or that button that you asked about." - }, - { - "start": "18:20.52", - "stop": "18:21.08", - "speaker": "Tutor", - "dialogue": "That's a square" - }, - { - "start": "18:21.16", - "stop": "18:21.84", - "speaker": "Tutor", - "dialogue": "With some arrows." - }, - { - "start": "18:22.68", - "stop": "19:05.80", - "speaker": "Tutor", - "dialogue": "You can click that and then it'll allow you to grab it and move it, And then you can also resize it right." - }, - { - "start": "19:05.96", - "stop": "19:06.76", - "speaker": "Tutor", - "dialogue": "Stop for a minute." - }, - { - "start": "19:07.04", - "stop": "19:09.92", - "speaker": "Tutor", - "dialogue": "What is that line representing that you just put on the graph?" - }, - { - "start": "19:24.92", - "stop": "19:27.28", - "speaker": "Tutor", - "dialogue": "Ah, so you're actually setting up like the grid paper." - }, - { - "start": "19:28.68", - "stop": "19:29.52", - "speaker": "Tutor", - "dialogue": "You don't need to do that." - }, - { - "start": "19:30.20", - "stop": "19:31.72", - "speaker": "Tutor", - "dialogue": "It's okay if it's not precise." - }, - { - "start": "19:32.12", - "stop": "19:52.68", - "speaker": "Tutor", - "dialogue": "You can just do an estimated sketch and then explain to me what your sketch would be representing, And what are those numbers?" - }, - { - "start": "19:53.20", - "stop": "19:54.72", - "speaker": "Tutor", - "dialogue": "one on two, three." - }, - { - "start": "20:02.80", - "stop": "20:04.28", - "speaker": "Student", - "dialogue": "I actually should go by the ten." - }, - { - "start": "20:05.72", - "stop": "20:09.72", - "speaker": "Tutor", - "dialogue": "If you want to change scaleyes." - }, - { - "start": "20:10.24", - "stop": "20:10.28", - "speaker": "Student", - "dialogue": "S." - }, - { - "start": "21:47.84", - "stop": "21:50.00", - "speaker": "Tutor", - "dialogue": "And what is that axis representing?" - }, - { - "start": "21:50.16", - "stop": "21:50.32", - "speaker": "Tutor", - "dialogue": "one?" - }, - { - "start": "21:50.40", - "stop": "21:50.44", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "21:50.76", - "stop": "21:50.92", - "speaker": "Tutor", - "dialogue": "two?" - }, - { - "start": "21:50.96", - "stop": "21:51.00", - "speaker": "Tutor", - "dialogue": "what?" - }, - { - "start": "21:51.32", - "stop": "21:51.48", - "speaker": "Tutor", - "dialogue": "three." - }, - { - "start": "21:51.56", - "stop": "22:02.36", - "speaker": "Tutor", - "dialogue": "What I love her singing." - }, - { - "start": "22:21.60", - "stop": "22:24.40", - "speaker": "Tutor", - "dialogue": "You are doing an excellent job of thinking out loud." - }, - { - "start": "22:24.56", - "stop": "22:25.64", - "speaker": "Tutor", - "dialogue": "This is very helpful." - }, - { - "start": "22:25.80", - "stop": "22:26.24", - "speaker": "Tutor", - "dialogue": "Keep doing." - }, - { - "start": "22:26.32", - "stop": "22:34.48", - "speaker": "Student", - "dialogue": "That the only problem sight here is that the two you need a certain amount of hours to travel" - }, - { - "start": "22:34.52", - "stop": "22:39.04", - "speaker": "Student", - "dialogue": "a certain amount of distance alike are, Are we supposed that dude has ne?" - }, - { - "start": "23:03.16", - "stop": "23:04.28", - "speaker": "Tutor", - "dialogue": "Y, absolutely yup." - }, - { - "start": "23:05.36", - "stop": "23:06.88", - "speaker": "Tutor", - "dialogue": "What point did you just mark there?" - }, - { - "start": "23:11.44", - "stop": "23:11.48", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "23:12.68", - "stop": "23:14.80", - "speaker": "Tutor", - "dialogue": "What point on your graph over here?" - }, - { - "start": "23:15.48", - "stop": "23:16.32", - "speaker": "Tutor", - "dialogue": "does that represent?" - }, - { - "start": "23:18.88", - "stop": "23:28.88", - "speaker": "Tutor", - "dialogue": "So B All right, So label it as point B. That would be a. All right." - }, - { - "start": "23:29.00", - "stop": "23:29.52", - "speaker": "Tutor", - "dialogue": "Let's go by." - }, - { - "start": "23:29.64", - "stop": "23:30.04", - "speaker": "Tutor", - "dialogue": "Is it okay" - }, - { - "start": "23:30.08", - "stop": "23:32.28", - "speaker": "Tutor", - "dialogue": "if I remove your this langeuage?" - }, - { - "start": "23:32.84", - "stop": "23:36.88", - "speaker": "Tutor", - "dialogue": "Okay, So this is a cool sketch Earlier" - }, - { - "start": "23:36.96", - "stop": "23:46.72", - "speaker": "Tutor", - "dialogue": "When you talked to me about this section from A to B. What did you tell me was happening with the speed constant?" - }, - { - "start": "23:47.56", - "stop": "23:48.84", - "speaker": "Tutor", - "dialogue": "So I, the speed is constant." - }, - { - "start": "23:49.80", - "stop": "23:51.68", - "speaker": "Tutor", - "dialogue": "That means thirty minutes into the trip." - }, - { - "start": "23:52.56", - "stop": "23:56.96", - "speaker": "Tutor", - "dialogue": "the car is travelling at a constant speed, which means at the same speed" - }, - { - "start": "23:57.16", - "stop": "23:59.84", - "speaker": "Tutor", - "dialogue": "it's travelling when it's here here here here here." - }, - { - "start": "24:03.20", - "stop": "24:36.44", - "speaker": "Tutor", - "dialogue": "How fast is the car going the entire section of the trip from Adaby, What are you thinking right now?" - }, - { - "start": "24:45.64", - "stop": "24:45.80", - "speaker": "Tutor", - "dialogue": "Try" - }, - { - "start": "24:45.92", - "stop": "24:45.96", - "speaker": "Tutor", - "dialogue": "to." - }, - { - "start": "25:04.20", - "stop": "25:13.60", - "speaker": "Tutor", - "dialogue": "Ah, I'm wondering when you told me that the speed is constant." - }, - { - "start": "25:14.28", - "stop": "25:16.12", - "speaker": "Tutor", - "dialogue": "What does it mean for the speed to be?" - }, - { - "start": "25:22.64", - "stop": "25:24.40", - "speaker": "Tutor", - "dialogue": "If the speed is constant?" - }, - { - "start": "25:24.72", - "stop": "25:27.32", - "speaker": "Tutor", - "dialogue": "Is it changing or is it staying the same?" - }, - { - "start": "25:29.88", - "stop": "25:37.80", - "speaker": "Tutor", - "dialogue": "So if the speed is staying the same from this entire section of the journey means the car is going at the same speed" - }, - { - "start": "25:38.48", - "stop": "25:39.68", - "speaker": "Tutor", - "dialogue": "this whole first hour?" - }, - { - "start": "25:42.76", - "stop": "25:44.84", - "speaker": "Tutor", - "dialogue": "Do you know how fast the car is going?" - }, - { - "start": "25:45.60", - "stop": "25:48.08", - "speaker": "Tutor", - "dialogue": "Do you have enough information to figure out the speed of the car?" - }, - { - "start": "25:52.68", - "stop": "25:53.00", - "speaker": "Student", - "dialogue": "Fft" - }, - { - "start": "25:53.16", - "stop": "25:56.72", - "speaker": "Student", - "dialogue": "mile, talk t miles." - }, - { - "start": "26:00.28", - "stop": "26:01.36", - "speaker": "Tutor", - "dialogue": "Ah, so 'sle's." - }, - { - "start": "26:01.56", - "stop": "26:02.88", - "speaker": "Tutor", - "dialogue": "let's dig into that a little bit." - }, - { - "start": "26:03.44", - "stop": "26:15.40", - "speaker": "Tutor", - "dialogue": "if the car is travelling at a constant speed, Whether I've gone ten miles into the trip or twenty five miles into the trip, or forty miles into the trip." - }, - { - "start": "26:15.92", - "stop": "26:21.20", - "speaker": "Tutor", - "dialogue": "If I'm travelling at a constant speed, is my speed changing at all?" - }, - { - "start": "26:24.16", - "stop": "26:35.24", - "speaker": "Tutor", - "dialogue": "Oh so distance is changing and the time is changing, But you said the speed was staying constant, So your brain is trying to prove it to yourself." - }, - { - "start": "26:35.32", - "stop": "26:41.56", - "speaker": "Tutor", - "dialogue": "You want to prove that, So let's try this point at thirty minutes." - }, - { - "start": "26:42.32", - "stop": "26:44.12", - "speaker": "Tutor", - "dialogue": "How many miles has the car traveled" - }, - { - "start": "26:49.24", - "stop": "26:58.64", - "speaker": "Tutor", - "dialogue": "And speed is this thing that we measure in how many miles per one hour?" - }, - { - "start": "27:02.08", - "stop": "27:03.16", - "speaker": "Tutor", - "dialogue": "So at first you said" - }, - { - "start": "27:03.28", - "stop": "27:12.64", - "speaker": "Tutor", - "dialogue": "Well, the car traveled Fif, and then you said Okay, The car's going fifty miles per hour." - }, - { - "start": "27:14.40", - "stop": "27:20.52", - "speaker": "Tutor", - "dialogue": "Well, if the car has travelled twenty five miles in thirty minutes, Is that what you told me?" - }, - { - "start": "27:25.12", - "stop": "27:29.44", - "speaker": "Tutor", - "dialogue": "If it took the car thirty minutes to travel twentyfive miles?" - }, - { - "start": "27:30.92", - "stop": "27:36.80", - "speaker": "Tutor", - "dialogue": "Is it traveling at a rate equivalent to covering fifty miles in one hour?" - }, - { - "start": "27:39.92", - "stop": "27:43.56", - "speaker": "Tutor", - "dialogue": "Yacause speed is always measured in this unit of per one hour." - }, - { - "start": "27:44.80", - "stop": "27:49.92", - "speaker": "Tutor", - "dialogue": "This would be the same thing as fifty miles covered in one hour." - }, - { - "start": "27:51.24", - "stop": "27:57.12", - "speaker": "Tutor", - "dialogue": "And you recognize that by the shape of the graph here, because it is this linear section of the graph." - }, - { - "start": "27:57.28", - "stop": "27:58.60", - "speaker": "Tutor", - "dialogue": "It's that smooth line." - }, - { - "start": "27:59.28", - "stop": "28:06.88", - "speaker": "Tutor", - "dialogue": "That means that the relationship of how distance is changing and how time is changing is changing at a constant rate." - }, - { - "start": "28:08.12", - "stop": "28:11.60", - "speaker": "Tutor", - "dialogue": "Another way we can think about that is the speed is staying constant." - }, - { - "start": "28:13.24", - "stop": "28:16.64", - "speaker": "Tutor", - "dialogue": "So how can you show that now on your graph?" - }, - { - "start": "28:20.84", - "stop": "28:23.72", - "speaker": "Tutor", - "dialogue": "Oh, are we allowed to make straight lines and graphs?" - }, - { - "start": "28:24.00", - "stop": "28:26.16", - "speaker": "Tutor", - "dialogue": "Or does it always have to start at the origin?" - }, - { - "start": "28:29.64", - "stop": "28:30.84", - "speaker": "Tutor", - "dialogue": "You do have to start at the origin." - }, - { - "start": "28:30.96", - "stop": "28:31.64", - "speaker": "Tutor", - "dialogue": "Is that what you said?" - }, - { - "start": "28:42.20", - "stop": "28:42.48", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "28:58.64", - "stop": "29:04.88", - "speaker": "Tutor", - "dialogue": "Alright, so here we figured out that thirty minutes into the trip" - }, - { - "start": "29:05.40", - "stop": "29:10.72", - "speaker": "Tutor", - "dialogue": "the car had traveled twenty five miles, which meant that it was travelling at fifty miles per hour." - }, - { - "start": "29:11.76", - "stop": "29:13.08", - "speaker": "Tutor", - "dialogue": "Do you agree or disagree with that?" - }, - { - "start": "29:17.68", - "stop": "29:18.20", - "speaker": "Tutor", - "dialogue": "You agree." - }, - { - "start": "29:19.64", - "stop": "29:20.04", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "29:20.40", - "stop": "29:26.68", - "speaker": "Tutor", - "dialogue": "So on your graph, thirty miles into the trip is about right here." - }, - { - "start": "29:28.72", - "stop": "29:30.08", - "speaker": "Tutor", - "dialogue": "How fast is the car going?" - }, - { - "start": "29:30.28", - "stop": "29:31.40", - "speaker": "Tutor", - "dialogue": "Thirty miles into the trip?" - }, - { - "start": "29:31.60", - "stop": "29:40.16", - "speaker": "Tutor", - "dialogue": "On your graph, thirty minutes." - }, - { - "start": "29:40.24", - "stop": "29:40.64", - "speaker": "Tutor", - "dialogue": "I'm sorry." - }, - { - "start": "29:40.68", - "stop": "29:41.32", - "speaker": "Tutor", - "dialogue": "I misspoke." - }, - { - "start": "29:41.96", - "stop": "29:43.48", - "speaker": "Tutor", - "dialogue": "So y, thirty minutes into the trip?" - }, - { - "start": "29:43.60", - "stop": "29:44.28", - "speaker": "Tutor", - "dialogue": "How fast is it?" - }, - { - "start": "29:47.68", - "stop": "29:51.72", - "speaker": "Tutor", - "dialogue": "So here we said, Thirty minutes into the trip." - }, - { - "start": "29:52.32", - "stop": "29:54.08", - "speaker": "Tutor", - "dialogue": "the car was going fifty miles an hour." - }, - { - "start": "30:04.28", - "stop": "30:04.88", - "speaker": "Student", - "dialogue": "Not an hour." - }, - { - "start": "30:07.12", - "stop": "30:14.24", - "speaker": "Tutor", - "dialogue": "Right, correct, how fast is the car going at this point?" - }, - { - "start": "30:20.12", - "stop": "30:21.52", - "speaker": "Tutor", - "dialogue": "Yup, which is what we wrote here." - }, - { - "start": "30:21.92", - "stop": "30:34.16", - "speaker": "Tutor", - "dialogue": "It has traveled thirty five miles in thirty minutes, but speed is calculated in units of miles per hour." - }, - { - "start": "30:36.80", - "stop": "30:45.64", - "speaker": "Tutor", - "dialogue": "So if this is in a unit of a half hour, I have to make it equivalent to an hour." - }, - { - "start": "30:51.20", - "stop": "31:10.04", - "speaker": "Tutor", - "dialogue": "Yeah, so so that tells us the speed of the car is fifty miles per hour, Even at this point, Because a relationship of twenty five miles and thirty minutes, that ratio is equivalent to fifty miles in one hour." - }, - { - "start": "31:14.96", - "stop": "31:17.76", - "speaker": "Tutor", - "dialogue": "This is also where you told me the speed is constant." - }, - { - "start": "31:18.44", - "stop": "31:19.64", - "speaker": "Tutor", - "dialogue": "It is staying the same." - }, - { - "start": "31:20.04", - "stop": "31:20.60", - "speaker": "Tutor", - "dialogue": "This enti." - }, - { - "start": "31:20.80", - "stop": "31:30.76", - "speaker": "Tutor", - "dialogue": "It's like I got in the car and I set cruise control and I drove fifty miles an hour from A to B. This entire section of the road." - }, - { - "start": "31:33.20", - "stop": "31:33.48", - "speaker": "Tutor", - "dialogue": "Brek." - }, - { - "start": "31:33.92", - "stop": "31:43.92", - "speaker": "Tutor", - "dialogue": "they did take a break, but what I'm confused about is that this point here that you drew doesn't show the car going fifty miles an hour Right here." - }, - { - "start": "31:46.52", - "stop": "32:11.24", - "speaker": "Tutor", - "dialogue": "You're saying the car is only going twenty-five miles an hour here, and it slowly accelerates until it reaches one hour, and it's only at that one point that it's traveling fifty miles an hour, so my wondering is is the car going fifty miles an hour just at this point, or is the car going fifty miles per hour" - }, - { - "start": "32:11.40", - "stop": "32:12.76", - "speaker": "Tutor", - "dialogue": "this entire section of the trip?" - }, - { - "start": "32:36.04", - "stop": "32:42.36", - "speaker": "Tutor", - "dialogue": "So when we earlier, you told me the speed of the car does not stay the same for the whole trip." - }, - { - "start": "32:44.44", - "stop": "32:45.56", - "speaker": "Tutor", - "dialogue": "It doesn't No." - }, - { - "start": "32:47.00", - "stop": "32:49.72", - "speaker": "Tutor", - "dialogue": "What is the speed of the car right here?" - }, - { - "start": "32:57.28", - "stop": "33:08.96", - "speaker": "Tutor", - "dialogue": "it is fifty miles that entire length and then the car goes zero miles per hour, and then the car." - }, - { - "start": "33:13.60", - "stop": "33:18.32", - "speaker": "Tutor", - "dialogue": "So earlier over here, you told me that graphs have to start at the origin." - }, - { - "start": "33:20.08", - "stop": "33:22.24", - "speaker": "Tutor", - "dialogue": "Me, but they don't." - }, - { - "start": "33:22.92", - "stop": "33:24.20", - "speaker": "Tutor", - "dialogue": "They could start anywhere." - }, - { - "start": "33:26.16", - "stop": "33:39.84", - "speaker": "Tutor", - "dialogue": "So if if the graph didn't have to start at the origin, what could your graph look like to show fifty miles per hour for this entire first hour of the trip?" - }, - { - "start": "33:45.04", - "stop": "33:51.68", - "speaker": "Student", - "dialogue": "Timeing Fverse, gr." - }, - { - "start": "33:56.08", - "stop": "34:04.24", - "speaker": "Student", - "dialogue": "W simply be like, like are vertical line would be a bit more horizontal." - }, - { - "start": "34:05.04", - "stop": "34:19.44", - "speaker": "Tutor", - "dialogue": "Yeah, it may look like no graph you've ever seen before." - }, - { - "start": "34:20.16", - "stop": "34:23.60", - "speaker": "Tutor", - "dialogue": "Your brain is like weighted, supposed to stard in origin, or they." - }, - { - "start": "34:24.36", - "stop": "34:25.88", - "speaker": "Tutor", - "dialogue": "they're supposed to be horizontal." - }, - { - "start": "34:27.08", - "stop": "34:27.84", - "speaker": "Tutor", - "dialogue": "but now it's like" - }, - { - "start": "34:28.00", - "stop": "34:29.60", - "speaker": "Tutor", - "dialogue": "Oh, maybe it can be something else." - }, - { - "start": "34:38.12", - "stop": "34:43.52", - "speaker": "Tutor", - "dialogue": "Are you working on the ipad right nows?" - }, - { - "start": "34:51.56", - "stop": "34:51.72", - "speaker": "Student", - "dialogue": "Can?" - }, - { - "start": "34:51.80", - "stop": "34:54.00", - "speaker": "Tutor", - "dialogue": "I have your brother for just five more minutes." - }, - { - "start": "34:58.92", - "stop": "34:59.88", - "speaker": "Tutor", - "dialogue": "Oh, she can't hear you." - }, - { - "start": "35:00.08", - "stop": "35:02.16", - "speaker": "Tutor", - "dialogue": "Ah, I was going to ask just for five more minutes." - }, - { - "start": "35:02.20", - "stop": "35:03.20", - "speaker": "Tutor", - "dialogue": "Then she can have you back." - }, - { - "start": "35:08.68", - "stop": "35:09.72", - "speaker": "Tutor", - "dialogue": "Ah, thank you." - }, - { - "start": "35:09.84", - "stop": "35:10.44", - "speaker": "Tutor", - "dialogue": "That's helpful." - }, - { - "start": "35:10.96", - "stop": "35:19.64", - "speaker": "Tutor", - "dialogue": "Okay, so let's just dissect this one part and then we'll be finished from A to B. You're showing the car gradually getting faster." - }, - { - "start": "35:21.00", - "stop": "35:23.76", - "speaker": "Tutor", - "dialogue": "How could you show the car staying fifty miles an hour?" - }, - { - "start": "35:24.12", - "stop": "35:27.52", - "speaker": "Tutor", - "dialogue": "the entire section from zero to one hour." - }, - { - "start": "35:29.36", - "stop": "35:35.88", - "speaker": "Student", - "dialogue": "Well, this, the lud shows it, but we, this lea lak isually do the Samus show." - }, - { - "start": "35:36.00", - "stop": "35:40.64", - "speaker": "Tutor", - "dialogue": "It you wanted to make it horizontal earlier?" - }, - { - "start": "35:41.12", - "stop": "35:42.28", - "speaker": "Tutor", - "dialogue": "Can we make it vertical?" - }, - { - "start": "35:47.96", - "stop": "35:49.16", - "speaker": "Student", - "dialogue": "So we just." - }, - { - "start": "35:49.16", - "stop": "36:03.80", - "speaker": "Tutor", - "dialogue": "S. so where would this point be on your graph?" - }, - { - "start": "36:04.24", - "stop": "36:08.24", - "speaker": "Tutor", - "dialogue": "I want to be going fifty miles per hour, but you told me" - }, - { - "start": "36:08.32", - "stop": "36:09.32", - "speaker": "Tutor", - "dialogue": "it's fifty miles an hour" - }, - { - "start": "36:09.88", - "stop": "36:10.08", - "speaker": "Tutor", - "dialogue": "Here." - }, - { - "start": "36:10.40", - "stop": "36:11.52", - "speaker": "Tutor", - "dialogue": "it's only twenty five miles." - }, - { - "start": "36:11.56", - "stop": "36:17.88", - "speaker": "Tutor", - "dialogue": "A. it's twenty five miles, but I want twenty." - }, - { - "start": "36:18.24", - "stop": "36:20.76", - "speaker": "Tutor", - "dialogue": "I need to be going fifty miles per hour." - }, - { - "start": "36:23.16", - "stop": "36:33.16", - "speaker": "Tutor", - "dialogue": "That's at one hour, but I'm also going fifty miles an hour at thirty minutes, so that is actually here." - }, - { - "start": "36:33.32", - "stop": "36:44.72", - "speaker": "Tutor", - "dialogue": "Also, I'm still going fifty miles an hour, and as soon as the trip starts going fifty miles an hour, If my speed is staying constant, I'm going fifty miles an hour." - }, - { - "start": "36:44.84", - "stop": "36:59.44", - "speaker": "Tutor", - "dialogue": "That entire section is that possible." - }, - { - "start": "37:01.84", - "stop": "37:08.16", - "speaker": "Student", - "dialogue": "Ih." - }, - { - "start": "37:08.80", - "stop": "37:24.80", - "speaker": "Tutor", - "dialogue": "That'sterest so graphs don't always have to start at zero, But this graph is keeping track of time and speed, not distance." - }, - { - "start": "37:31.08", - "stop": "37:31.48", - "speaker": "Tutor", - "dialogue": "Uhhuh." - }, - { - "start": "37:32.64", - "stop": "37:40.56", - "speaker": "Tutor", - "dialogue": "so if I drew a line that looks like this, that would mean that the car was going a hundred miles" - }, - { - "start": "37:40.60", - "stop": "37:44.24", - "speaker": "Tutor", - "dialogue": "an hour, this entire from zero minutes to one hour." - }, - { - "start": "37:45.12", - "stop": "37:47.12", - "speaker": "Tutor", - "dialogue": "Can I have a line that looks like this in a graph?" - }, - { - "start": "37:52.80", - "stop": "37:55.64", - "speaker": "Tutor", - "dialogue": "What about in this situation situ?" - }, - { - "start": "37:57.60", - "stop": "37:58.44", - "speaker": "Tutor", - "dialogue": "Okay, Cool" - }, - { - "start": "37:59.16", - "stop": "38:02.80", - "speaker": "Tutor", - "dialogue": "if we had more time, I would love to explore that deeper with you." - }, - { - "start": "38:03.40", - "stop": "38:05.44", - "speaker": "Tutor", - "dialogue": "Let's go back to the Um." - }, - { - "start": "38:05.52", - "stop": "38:06.24", - "speaker": "Tutor", - "dialogue": "What graphs do?" - }, - { - "start": "38:07.04", - "stop": "38:15.68", - "speaker": "Tutor", - "dialogue": "Graphs are always going to show how one thing is changing how something else is changing, and then how they're changing in relationship to each other." - }, - { - "start": "38:17.00", - "stop": "38:19.96", - "speaker": "Tutor", - "dialogue": "So graphs might start looking all sorts of different ways." - }, - { - "start": "38:20.36", - "stop": "38:21.48", - "speaker": "Tutor", - "dialogue": "They might look like this." - }, - { - "start": "38:22.52", - "stop": "38:26.96", - "speaker": "Tutor", - "dialogue": "They could look like this, and they might not ever touch the axes." - }, - { - "start": "38:27.68", - "stop": "38:41.00", - "speaker": "Tutor", - "dialogue": "It's okay if they're out in the middle, so I challenge yourself to think about what these two things are keeping track of, and maybe create some graphs that look like nothing you've ever seen before." - }, - { - "start": "38:41.48", - "stop": "38:43.12", - "speaker": "Tutor", - "dialogue": "Allow your brain to go there sometimes." - }, - { - "start": "38:43.24", - "stop": "38:52.32", - "speaker": "Tutor", - "dialogue": "Okay, I know that your sister is patiently waiting for you so just briefly" - }, - { - "start": "38:52.44", - "stop": "39:02.16", - "speaker": "Tutor", - "dialogue": "If you could let me know what this situ or what this experience was like for you, what was helpful or what was not helpful, or what are some things that we could change to make it better?" - }, - { - "start": "39:11.92", - "stop": "39:23.92", - "speaker": "Student", - "dialogue": "It was precisely a practice offered to teach kids a certain subject like math, so learning math." - }, - { - "start": "39:25.40", - "stop": "39:39.28", - "speaker": "Tutor", - "dialogue": "Like, like birth is to experiencing how graphs work and how things change in relationship to each other." - }, - { - "start": "39:41.92", - "stop": "39:44.44", - "speaker": "Tutor", - "dialogue": "Yeah, 'cause graphs represent relationships." - }, - { - "start": "39:47.36", - "stop": "39:55.04", - "speaker": "Tutor", - "dialogue": "Is there anything you feel like you're thinking about differently or anything you learned in our timened?" - }, - { - "start": "39:55.08", - "stop": "40:00.00", - "speaker": "Student", - "dialogue": "A bit T. I learn like graphs, and like too excito." - }, - { - "start": "40:00.08", - "stop": "40:03.76", - "speaker": "Student", - "dialogue": "The power to the line is fy rear." - }, - { - "start": "40:03.88", - "stop": "40:07.56", - "speaker": "Student", - "dialogue": "I can go like the quadrant quadran." - } -] \ No newline at end of file diff --git a/data/amber/x4695.json b/data/amber/x4695.json deleted file mode 100644 index 82837a8..0000000 --- a/data/amber/x4695.json +++ /dev/null @@ -1,692 +0,0 @@ -[ - { - "start": "00:00.76", - "stop": "00:04.92", - "speaker": "Tutor", - "dialogue": "Perfect, okay, I, if you'd like you can close your chat box." - }, - { - "start": "00:06.84", - "stop": "00:16.04", - "speaker": "Tutor", - "dialogue": "We'll be talking back and forth, and that way you have more work space right over here on the left hand side of your screen." - }, - { - "start": "00:16.08", - "stop": "00:17.16", - "speaker": "Tutor", - "dialogue": "you should see some tools." - }, - { - "start": "00:19.92", - "stop": "00:29.84", - "speaker": "Tutor", - "dialogue": "Um, you can use the pencil one to draw, and when you click on that pencil up on the top, you'll get a color and a size um." - }, - { - "start": "00:29.92", - "stop": "00:30.16", - "speaker": "Tutor", - "dialogue": "box" - }, - { - "start": "00:30.24", - "stop": "00:30.80", - "speaker": "Tutor", - "dialogue": "that pops up." - }, - { - "start": "00:30.84", - "stop": "00:36.68", - "speaker": "Tutor", - "dialogue": "If you want to change the color or size of what you're drawing, you can also use the T text box." - }, - { - "start": "00:36.96", - "stop": "00:39.20", - "speaker": "Tutor", - "dialogue": "if you prefer to type instead of draw." - }, - { - "start": "00:40.44", - "stop": "00:42.64", - "speaker": "Tutor", - "dialogue": "And then we're going to practicse erasing." - }, - { - "start": "00:43.08", - "stop": "00:44.64", - "speaker": "Tutor", - "dialogue": "Um, that one can get a little bit tricky." - }, - { - "start": "00:45.20", - "stop": "00:46.96", - "speaker": "Tutor", - "dialogue": "So do you see the trash can button?" - }, - { - "start": "00:50.08", - "stop": "00:51.24", - "speaker": "Tutor", - "dialogue": "Don't push that one." - }, - { - "start": "00:51.92", - "stop": "00:56.36", - "speaker": "Tutor", - "dialogue": "If you push that one, it will clear the entire screen and we have no way to get it back." - }, - { - "start": "00:57.60", - "stop": "01:05.52", - "speaker": "Tutor", - "dialogue": "But if you draw something and or you type something, and you change your mind and you want to erase it, what you'll do is use the top arrow." - }, - { - "start": "01:06.08", - "stop": "01:07.16", - "speaker": "Tutor", - "dialogue": "That's your select tool." - }, - { - "start": "01:07.80", - "stop": "01:15.48", - "speaker": "Tutor", - "dialogue": "You select what it is that you want to either move or erase, and to erase it once it's selected." - }, - { - "start": "01:15.76", - "stop": "01:29.64", - "speaker": "Tutor", - "dialogue": "then you click the arrow with an in the middle of it at the bottom of your toolbar, and that will erase just that one thing you've selected so practicse drawing something, and then try to erase what you draw." - }, - { - "start": "01:45.08", - "stop": "01:45.92", - "speaker": "Tutor", - "dialogue": "Is it selecting?" - }, - { - "start": "01:47.04", - "stop": "01:51.12", - "speaker": "Tutor", - "dialogue": "Yeah, Okay, once it's selected there you go." - }, - { - "start": "01:51.36", - "stop": "01:51.68", - "speaker": "Tutor", - "dialogue": "perfect." - }, - { - "start": "01:52.52", - "stop": "01:52.80", - "speaker": "Tutor", - "dialogue": "Okay." - }, - { - "start": "01:53.16", - "stop": "01:54.76", - "speaker": "Tutor", - "dialogue": "Do you have any questions on the tools?" - }, - { - "start": "01:56.08", - "stop": "01:57.52", - "speaker": "Tutor", - "dialogue": "No, No, okay." - }, - { - "start": "01:58.32", - "stop": "02:15.16", - "speaker": "Tutor", - "dialogue": "The next thing that we will do then is talk a little bit about what it'll be like when we work together, so I will ask you a lot of questions, and the more that you can explain what you're thinking in your head, the better even if you're like, Wait, does that go there?" - }, - { - "start": "02:15.28", - "stop": "02:16.32", - "speaker": "Tutor", - "dialogue": "or should I put it here?" - }, - { - "start": "02:16.96", - "stop": "02:18.48", - "speaker": "Tutor", - "dialogue": "All those thoughts you have in your head." - }, - { - "start": "02:18.68", - "stop": "02:28.08", - "speaker": "Tutor", - "dialogue": "The more you say it out loud, the better, And if at any time you, um, just need some time to think and you don't want me to interrupt." - }, - { - "start": "02:28.52", - "stop": "02:30.16", - "speaker": "Tutor", - "dialogue": "Just verbalize that I'm not sure." - }, - { - "start": "02:30.44", - "stop": "02:34.44", - "speaker": "Tutor", - "dialogue": "Give me some time to think and then I'll be quiet so that I don't interrupt your thought process." - }, - { - "start": "02:34.56", - "stop": "02:36.52", - "speaker": "Tutor", - "dialogue": "It's just hard to tell when I can't see your face." - }, - { - "start": "02:37.96", - "stop": "02:38.72", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "02:39.44", - "stop": "02:44.72", - "speaker": "Tutor", - "dialogue": "Yeah, okay, and then if I ask you a question, it doesn't necessarily mean something's wrong." - }, - { - "start": "02:44.80", - "stop": "02:47.28", - "speaker": "Tutor", - "dialogue": "It just means I want to know more about what you're thinking." - }, - { - "start": "02:48.40", - "stop": "02:48.72", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "02:49.88", - "stop": "02:50.52", - "speaker": "Tutor", - "dialogue": "Yeah, all right." - }, - { - "start": "02:50.56", - "stop": "02:52.24", - "speaker": "Tutor", - "dialogue": "Do you have any questions before we get started?" - }, - { - "start": "02:53.08", - "stop": "02:54.12", - "speaker": "Tutor", - "dialogue": "No, awesome." - }, - { - "start": "02:54.68", - "stop": "02:59.32", - "speaker": "Tutor", - "dialogue": "I am going to turn the page, Then do you see something different on your screen?" - }, - { - "start": "02:59.44", - "stop": "02:59.60", - "speaker": "Tutor", - "dialogue": "Now?" - }, - { - "start": "03:00.56", - "stop": "03:02.84", - "speaker": "Tutor", - "dialogue": "Yeah, awesome, so take a minute to read it." - }, - { - "start": "03:03.24", - "stop": "03:10.12", - "speaker": "Tutor", - "dialogue": "Look it over and then explain to me what you think is happening in this situation." - }, - { - "start": "03:35.00", - "stop": "03:50.04", - "speaker": "Student", - "dialogue": "It says it's a car journey and it starts in Providence, to to Newark." - }, - { - "start": "03:56.00", - "stop": "04:00.96", - "speaker": "Tutor", - "dialogue": "K, what are some things that you think you might be able to measure in this situation?" - }, - { - "start": "04:05.16", - "stop": "04:07.12", - "speaker": "Student", - "dialogue": "The distance between the two." - }, - { - "start": "04:08.56", - "stop": "04:08.92", - "speaker": "Tutor", - "dialogue": "Between." - }, - { - "start": "04:09.04", - "stop": "04:13.88", - "speaker": "Student", - "dialogue": "What the starting point and the ending point?" - }, - { - "start": "04:15.28", - "stop": "04:21.72", - "speaker": "Tutor", - "dialogue": "What unit would you use to measure the distance between the P and the ending point?" - }, - { - "start": "04:25.84", - "stop": "04:26.28", - "speaker": "Student", - "dialogue": "Miles." - }, - { - "start": "04:28.92", - "stop": "04:31.60", - "speaker": "Tutor", - "dialogue": "Are there other things you can think about measuring in this situation?" - }, - { - "start": "04:39.68", - "stop": "04:45.64", - "speaker": "Student", - "dialogue": "Maybe how far it is between the starting point to New York City." - }, - { - "start": "04:47.20", - "stop": "04:48.00", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "04:48.28", - "stop": "04:49.36", - "speaker": "Tutor", - "dialogue": "so say more about that." - }, - { - "start": "04:49.60", - "stop": "04:53.24", - "speaker": "Tutor", - "dialogue": "How far what units would you be using miles or something else?" - }, - { - "start": "04:55.40", - "stop": "04:57.08", - "speaker": "Student", - "dialogue": "Pbly, Miles, Okay." - }, - { - "start": "04:59.56", - "stop": "05:00.84", - "speaker": "Tutor", - "dialogue": "Anything else we can measure?" - }, - { - "start": "05:05.64", - "stop": "05:06.24", - "speaker": "Student", - "dialogue": "I don't think so." - }, - { - "start": "05:06.68", - "stop": "05:07.60", - "speaker": "Tutor", - "dialogue": "Okay, cool." - }, - { - "start": "05:08.04", - "stop": "05:13.48", - "speaker": "Tutor", - "dialogue": "I'm going to uncover something now and tell me how it was similar or different to what you were thinking about." - }, - { - "start": "05:22.68", - "stop": "05:34.08", - "speaker": "Student", - "dialogue": "It's showing the the distance with miles, but it's also showing the time and how long it takes for to get to different points." - }, - { - "start": "05:35.04", - "stop": "05:39.08", - "speaker": "Tutor", - "dialogue": "What unit are we keeping track of time with hours?" - }, - { - "start": "05:39.52", - "stop": "05:48.88", - "speaker": "Tutor", - "dialogue": "Ok, So this graph is going to keep track of how distance in units of miles and how time in units of hours is changing" - }, - { - "start": "05:51.00", - "stop": "05:54.36", - "speaker": "Tutor", - "dialogue": "And you were thinking about how was that similar or different to what you were thinking about?" - }, - { - "start": "05:59.04", - "stop": "06:12.96", - "speaker": "Student", - "dialogue": "I was thinking about the the distance between the where were started and where it ended." - }, - { - "start": "06:16.28", - "stop": "06:21.64", - "speaker": "Tutor", - "dialogue": "How you said between different, um, points or spots or something like that?" - }, - { - "start": "06:22.64", - "stop": "06:23.52", - "speaker": "Tutor", - "dialogue": "Tell me more about that." - }, - { - "start": "06:23.68", - "stop": "06:25.40", - "speaker": "Tutor", - "dialogue": "Where are you seeing points or spots?" - }, - { - "start": "06:26.44", - "stop": "06:42.88", - "speaker": "Student", - "dialogue": "On the graph, there's letters from A to F and A. At each letter it changes, Theth line that goes between them changes and goes into a different direction." - }, - { - "start": "06:43.72", - "stop": "06:45.12", - "speaker": "Tutor", - "dialogue": "Are you talking about that blue line?" - }, - { - "start": "06:45.84", - "stop": "06:48.32", - "speaker": "Tutor", - "dialogue": "Yeah, what is that blue line?" - }, - { - "start": "06:48.44", - "stop": "06:49.00", - "speaker": "Tutor", - "dialogue": "keeping track?" - }, - { - "start": "06:49.08", - "stop": "07:13.12", - "speaker": "Student", - "dialogue": "Of how long it takes to the amount of time it it takes to get to a certain distance." - }, - { - "start": "07:14.28", - "stop": "07:20.12", - "speaker": "Tutor", - "dialogue": "Okay, so your prediction right now is that that blue line is keeping track of distance?" - }, - { - "start": "07:20.20", - "stop": "07:20.56", - "speaker": "Tutor", - "dialogue": "Somehow?" - }, - { - "start": "07:21.72", - "stop": "07:24.20", - "speaker": "Tutor", - "dialogue": "Yeah, Okay, is it keeping track of time?" - }, - { - "start": "07:26.84", - "stop": "07:49.44", - "speaker": "Student", - "dialogue": "Yeah, how its showing that at certain, at distances it's showing the amount of time it would take." - }, - { - "start": "07:52.80", - "stop": "07:53.08", - "speaker": "Tutor", - "dialogue": "Cool." - }, - { - "start": "07:53.16", - "stop": "08:01.88", - "speaker": "Tutor", - "dialogue": "so yeah, give me an example of that like where are you seeing distance and where are you seeing time, and that blue line and what." - }, - { - "start": "08:02.00", - "stop": "08:02.96", - "speaker": "Tutor", - "dialogue": "It's keeping track of it" - }, - { - "start": "08:03.04", - "stop": "08:05.32", - "speaker": "Tutor", - "dialogue": "And you can use your pointer if you want, or you can label." - }, - { - "start": "08:14.16", - "stop": "08:19.36", - "speaker": "Student", - "dialogue": "A fifty miles it says that it would take like it would take one hour." - }, - { - "start": "08:20.16", - "stop": "08:30.60", - "speaker": "Tutor", - "dialogue": "Ah, so point B, at this exact point, distance has changed by fifty miles and time has changed by an hour." - }, - { - "start": "08:32.08", - "stop": "08:35.04", - "speaker": "Tutor", - "dialogue": "You Ok and type something up here" - }, - { - "start": "08:41.32", - "stop": "08:55.56", - "speaker": "Tutor", - "dialogue": "when you're thinking about how distance is changing and how time is changing, Wan't you to think about challenging yourself to use these words, increasing, decreasing or staying the same?" - }, - { - "start": "08:57.20", - "stop": "09:03.40", - "speaker": "Tutor", - "dialogue": "So from point a to point B, what's going on with distance and time?" - }, - { - "start": "09:07.32", - "stop": "09:15.84", - "speaker": "Student", - "dialogue": "From point A to point B, distance is increasing, while time is also increasing." - }, - { - "start": "09:16.32", - "stop": "09:16.84", - "speaker": "Tutor", - "dialogue": "Ah, cool." - }, - { - "start": "09:16.88", - "stop": "09:17.76", - "speaker": "Tutor", - "dialogue": "I'm gonna write that down." - }, - { - "start": "09:18.28", - "stop": "09:28.36", - "speaker": "Tutor", - "dialogue": "So from point A to point B, distance is increasing, while time is also increasing." - }, - { - "start": "09:30.20", - "stop": "09:31.64", - "speaker": "Tutor", - "dialogue": "Could I capture what you said there?" - }, - { - "start": "09:33.32", - "stop": "09:37.12", - "speaker": "Tutor", - "dialogue": "Okay, where do you think point" - }, - { - "start": "09:37.28", - "stop": "09:40.20", - "speaker": "Tutor", - "dialogue": "A to point B is on the map?" - }, - { - "start": "09:45.00", - "stop": "10:00.04", - "speaker": "Student", - "dialogue": "I think point A is where the car starts, and then point B is a little like a bit afterwards." - }, - { - "start": "10:01.00", - "stop": "10:07.96", - "speaker": "Tutor", - "dialogue": "Cool label that you can either use the text or the draw tools to label where you think where your prediction is for point" - }, - { - "start": "10:08.00", - "stop": "11:01.28", - "speaker": "Tutor", - "dialogue": "A and point B. Can you use the map and the graph to describe what is happening during each stage of the journey?" - }, - { - "start": "11:26.88", - "stop": "11:28.04", - "speaker": "Tutor", - "dialogue": "What are you thinking right now?" - }, - { - "start": "11:31.40", - "stop": "11:31.60", - "speaker": "Student", - "dialogue": "Mm." - }, - { - "start": "11:38.08", - "stop": "11:38.92", - "speaker": "Tutor", - "dialogue": "Could you repeat that?" - }, - { - "start": "11:39.28", - "stop": "11:48.88", - "speaker": "Tutor", - "dialogue": "Sure, Yes, Um, So we have a map here that you said was describing a car that started in Providence and traveled down to Newark." - }, - { - "start": "11:49.76", - "stop": "11:59.08", - "speaker": "Tutor", - "dialogue": "And then you said there's a graph here that keeps track of distance and time, and there are different points or stops on the journey." - }, - { - "start": "12:01.32", - "stop": "12:04.84", - "speaker": "Tutor", - "dialogue": "So both the map and the graph are describing the same situation." - }, - { - "start": "12:05.52", - "stop": "12:11.88", - "speaker": "Tutor", - "dialogue": "Can you use both of those to explain what's happening during each stage of the journey?" - }, - { - "start": "12:15.28", - "stop": "12:22.08", - "speaker": "Tutor", - "dialogue": "So what's going on from A to B, B to C, C to D and so on?" - }, - { - "start": "12:58.40", - "stop": "12:59.16", - "speaker": "Tutor", - "dialogue": "What are you thinking?" - }, - { - "start": "13:05.48", - "stop": "13:05.72", - "speaker": "Tutor", - "dialogue": "Sure?" - }, - { - "start": "13:06.20", - "stop": "13:11.48", - "speaker": "Tutor", - "dialogue": "Okay, So you labeled A to B, and you told me from point" - }, - { - "start": "13:11.60", - "stop": "13:15.40", - "speaker": "Tutor", - "dialogue": "A to point B, the distance is increasing while time is also increasing." - }, - { - "start": "13:16.24", - "stop": "13:18.32", - "speaker": "Tutor", - "dialogue": "So let's keep labeling these points." - }, - { - "start": "13:19.00", - "stop": "13:19.04", - "speaker": "Tutor", - "dialogue": "What?" - }, - { - "start": "13:19.60", - "stop": "13:21.32", - "speaker": "Tutor", - "dialogue": "where do you think point C would be?" - }, - { - "start": "13:22.04", - "stop": "13:27.08", - "speaker": "Tutor", - "dialogue": "Where would point D, point E and point F. Where would those be located over here?" - }, - { - "start": "13:37.40", - "stop": "13:43.08", - "speaker": "Tutor", - "dialogue": "when you insert a textbox that comes up here, it's kind of hard to see it sometimes." - }, - { - "start": "13:43.20", - "stop": "13:51.36", - "speaker": "Tutor", - "dialogue": "Huh, and then you can move it if you want." - }, - { - "start": "14:15.00", - "stop": "14:20.24", - "speaker": "Student", - "dialogue": "I think point F would be at the end." - }, - { - "start": "14:26.36", - "stop": "14:27.92", - "speaker": "Tutor", - "dialogue": "Why do you think it would be right there?" - }, - { - "start": "14:31.12", - "stop": "14:42.04", - "speaker": "Student", - "dialogue": "Because, because on the graph, the last point is point F, so that can mean that it's the end of the journey." - } -] \ No newline at end of file diff --git a/data/amber/x6160.json b/data/amber/x6160.json deleted file mode 100644 index c851e85..0000000 --- a/data/amber/x6160.json +++ /dev/null @@ -1,1334 +0,0 @@ -[ - { - "start": "00:00.68", - "stop": "00:02.20", - "speaker": "Tutor", - "dialogue": "I'm not sure what happened." - }, - { - "start": "00:02.44", - "stop": "00:03.16", - "speaker": "Tutor", - "dialogue": "It just froze." - }, - { - "start": "00:03.20", - "stop": "00:04.24", - "speaker": "Tutor", - "dialogue": "Did it freeze on your end?" - }, - { - "start": "00:04.32", - "stop": "00:06.20", - "speaker": "Student", - "dialogue": "Too, Yeah, it did." - }, - { - "start": "00:07.00", - "stop": "00:07.92", - "speaker": "Tutor", - "dialogue": "That is really bizarre." - }, - { - "start": "00:08.00", - "stop": "00:16.32", - "speaker": "Tutor", - "dialogue": "Did it kick you out or did you stay in Very bizarre?" - }, - { - "start": "00:16.52", - "stop": "00:19.92", - "speaker": "Tutor", - "dialogue": "Okay, I am sorry that interrupted our thought process." - }, - { - "start": "00:21.16", - "stop": "00:23.00", - "speaker": "Tutor", - "dialogue": "Do you remember where you were in your thinking?" - }, - { - "start": "00:29.68", - "stop": "00:49.48", - "speaker": "Student", - "dialogue": "I think I was thinking that between point D and E, the line isn't isn't straight, so that could show that it's that's where it was between when it went through New York City." - }, - { - "start": "00:50.84", - "stop": "00:52.40", - "speaker": "Tutor", - "dialogue": "Why would that be New York City?" - }, - { - "start": "00:55.04", - "stop": "00:56.64", - "speaker": "Tutor", - "dialogue": "Are you talking about this line right here?" - }, - { - "start": "00:57.48", - "stop": "00:59.60", - "speaker": "Tutor", - "dialogue": "Yeah, why does that line repre?" - }, - { - "start": "00:59.84", - "stop": "01:00.64", - "speaker": "Tutor", - "dialogue": "This is cool thinking." - }, - { - "start": "01:01.28", - "stop": "01:07.68", - "speaker": "Tutor", - "dialogue": "Why does that line from D to E, b and bumpy represent New York City in your mind?" - }, - { - "start": "01:12.80", - "stop": "01:23.32", - "speaker": "Student", - "dialogue": "It could be because it's It's different from the the rest of of the graph." - }, - { - "start": "01:25.04", - "stop": "01:43.72", - "speaker": "Student", - "dialogue": "So and since the The probomention mentions articles in New York city, it could be to to distinguish it from the rest of the journey." - }, - { - "start": "01:45.52", - "stop": "01:47.32", - "speaker": "Tutor", - "dialogue": "Why would it need to be distinguished?" - }, - { - "start": "01:47.44", - "stop": "01:50.16", - "speaker": "Tutor", - "dialogue": "What's different about New York City or what is this?" - }, - { - "start": "01:50.48", - "stop": "01:54.68", - "speaker": "Tutor", - "dialogue": "D. What is this section keeping track of right now?" - }, - { - "start": "02:01.08", - "stop": "02:01.60", - "speaker": "Tutor", - "dialogue": "I'm with you." - }, - { - "start": "02:01.96", - "stop": "02:02.48", - "speaker": "Tutor", - "dialogue": "I agree." - }, - { - "start": "02:02.72", - "stop": "02:03.68", - "speaker": "Tutor", - "dialogue": "it's New York city." - }, - { - "start": "02:04.04", - "stop": "02:12.40", - "speaker": "Tutor", - "dialogue": "I'm pushing you to go deeper and explain to me why and think about these purple" - }, - { - "start": "02:12.52", - "stop": "02:14.68", - "speaker": "Tutor", - "dialogue": "power words that might help you describe." - }, - { - "start": "02:14.96", - "stop": "02:43.08", - "speaker": "Tutor", - "dialogue": "Why are you feeling like?" - }, - { - "start": "02:43.52", - "stop": "02:45.00", - "speaker": "Tutor", - "dialogue": "I'm not sure how to explain it." - }, - { - "start": "02:45.12", - "stop": "02:47.08", - "speaker": "Tutor", - "dialogue": "I, My gut just tells me that's where it is." - }, - { - "start": "02:48.24", - "stop": "02:49.44", - "speaker": "Tutor", - "dialogue": "Yeah, Okay, that's cool too." - }, - { - "start": "02:49.52", - "stop": "02:50.44", - "speaker": "Tutor", - "dialogue": "Yeah, verbalize that." - }, - { - "start": "02:51.04", - "stop": "02:53.04", - "speaker": "Tutor", - "dialogue": "Um, let me go a little bit deeper here from Eda." - }, - { - "start": "02:53.16", - "stop": "02:54.68", - "speaker": "Tutor", - "dialogue": "F. Why did you?" - }, - { - "start": "02:55.20", - "stop": "02:56.64", - "speaker": "Tutor", - "dialogue": "Why do you know that this is Eda?" - }, - { - "start": "02:56.72", - "stop": "03:10.92", - "speaker": "Student", - "dialogue": "F. because it's it's the rest of the journey once the car gets out of New York City." - }, - { - "start": "03:12.08", - "stop": "03:17.12", - "speaker": "Tutor", - "dialogue": "Okay, where would point C and D be Lo?" - }, - { - "start": "03:17.40", - "stop": "03:18.56", - "speaker": "Tutor", - "dialogue": "Oh, you already have D. So" - }, - { - "start": "03:18.84", - "stop": "03:20.20", - "speaker": "Tutor", - "dialogue": "C is the only one that's missing." - }, - { - "start": "03:20.28", - "stop": "03:21.76", - "speaker": "Tutor", - "dialogue": "Where would C be located?" - }, - { - "start": "03:55.08", - "stop": "03:55.84", - "speaker": "Student", - "dialogue": "I'm sure." - }, - { - "start": "03:56.64", - "stop": "04:01.64", - "speaker": "Tutor", - "dialogue": "Okay, it, just take your best gyes, your best estimate." - }, - { - "start": "04:03.08", - "stop": "04:09.12", - "speaker": "Tutor", - "dialogue": "It's somewhere in between point B and D in the journey." - }, - { - "start": "04:10.72", - "stop": "04:11.48", - "speaker": "Tutor", - "dialogue": "Or is it up here?" - }, - { - "start": "04:11.60", - "stop": "04:12.64", - "speaker": "Tutor", - "dialogue": "Could it be before A?" - }, - { - "start": "04:14.76", - "stop": "04:16.20", - "speaker": "Tutor", - "dialogue": "Where could Ca be located?" - }, - { - "start": "04:16.40", - "stop": "04:16.84", - "speaker": "Tutor", - "dialogue": "And why?" - }, - { - "start": "04:27.56", - "stop": "04:29.04", - "speaker": "Tutor", - "dialogue": "what's stumping you about Ca?" - }, - { - "start": "04:33.48", - "stop": "04:36.84", - "speaker": "Student", - "dialogue": "Mm, that it could be like it could be anywhere on." - }, - { - "start": "04:37.28", - "stop": "04:40.36", - "speaker": "Tutor", - "dialogue": "The map, How come?" - }, - { - "start": "04:56.40", - "stop": "04:57.84", - "speaker": "Student", - "dialogue": "There's because there's no." - }, - { - "start": "04:58.68", - "stop": "05:08.92", - "speaker": "Student", - "dialogue": "There's no measurements or anything, so you, you can't tell the distance between the different points that it could be." - }, - { - "start": "05:09.84", - "stop": "05:14.04", - "speaker": "Tutor", - "dialogue": "M, So you're feeling like we need to know measurements of some type?" - }, - { - "start": "05:14.92", - "stop": "05:18.56", - "speaker": "Tutor", - "dialogue": "Yeah, okay, let's look at Um distance." - }, - { - "start": "05:19.52", - "stop": "05:22.96", - "speaker": "Tutor", - "dialogue": "Do we know the measurements of the distance of this journey?" - }, - { - "start": "05:26.64", - "stop": "05:37.24", - "speaker": "Tutor", - "dialogue": "Okay, and from A to B, you said that point that the distance is increasing while time is also increasing." - }, - { - "start": "05:37.68", - "stop": "05:44.08", - "speaker": "Tutor", - "dialogue": "Do we know how much the distance is increasing from A to B? Yeah, how much?" - }, - { - "start": "05:46.76", - "stop": "05:47.96", - "speaker": "Student", - "dialogue": "Zero toty." - }, - { - "start": "05:48.72", - "stop": "05:55.80", - "speaker": "Tutor", - "dialogue": "Ok, so from A to B, the distance is increasing from zero to fifty." - }, - { - "start": "05:56.64", - "stop": "06:00.80", - "speaker": "Student", - "dialogue": "What fifty miles?" - }, - { - "start": "06:08.08", - "stop": "06:12.72", - "speaker": "Tutor", - "dialogue": "Edited that, since you've added on to that thinking, so do we have any measurements?" - }, - { - "start": "06:13.92", - "stop": "06:16.48", - "speaker": "Tutor", - "dialogue": "Do we know anything about the measurement from a Tob?" - }, - { - "start": "06:19.04", - "stop": "06:24.68", - "speaker": "Tutor", - "dialogue": "Yes, So you said you weren't sure where to put C, because there was no measurements." - }, - { - "start": "06:25.16", - "stop": "06:29.36", - "speaker": "Tutor", - "dialogue": "Do you have enough measurements to think about where C might?" - }, - { - "start": "06:29.48", - "stop": "06:56.20", - "speaker": "Student", - "dialogue": "Go, oh, I, it could be in the same spot as." - }, - { - "start": "06:56.52", - "stop": "06:59.48", - "speaker": "Tutor", - "dialogue": "B, how come?" - }, - { - "start": "07:00.80", - "stop": "07:10.60", - "speaker": "Student", - "dialogue": "Because between B and C, the the distance is stays the same, but the time increases." - }, - { - "start": "07:11.72", - "stop": "07:13.00", - "speaker": "Tutor", - "dialogue": "Ah, let's type that." - }, - { - "start": "07:13.08", - "stop": "07:14.08", - "speaker": "Tutor", - "dialogue": "that's really cool thinking." - }, - { - "start": "07:15.00", - "stop": "07:16.56", - "speaker": "Tutor", - "dialogue": "Do you want to type it or do you want to talk?" - }, - { - "start": "07:16.64", - "stop": "07:20.52", - "speaker": "Tutor", - "dialogue": "and I type, I'll talk." - }, - { - "start": "07:20.96", - "stop": "07:22.64", - "speaker": "Tutor", - "dialogue": "Ok, say it again." - }, - { - "start": "07:24.84", - "stop": "07:34.72", - "speaker": "Student", - "dialogue": "Bewen, between the points B and C, the distance stays the same, but the time increases." - }, - { - "start": "07:39.84", - "stop": "07:48.32", - "speaker": "Tutor", - "dialogue": "B, n, C, Uh, distance stays the same, but the time increases." - }, - { - "start": "07:49.60", - "stop": "08:03.84", - "speaker": "Tutor", - "dialogue": "Yeah, Ah, cool thinking, you have a lot of those purple powerwords in there, So if the distance stays the same, how do you know the point B and C are in the same location?" - }, - { - "start": "08:06.36", - "stop": "08:10.68", - "speaker": "Student", - "dialogue": "Because it's same distance, a fifty miles." - }, - { - "start": "08:11.16", - "stop": "08:15.32", - "speaker": "Tutor", - "dialogue": "Yeah, distance hasn't changed, so the car has stayed still cool." - }, - { - "start": "08:15.68", - "stop": "08:15.96", - "speaker": "Tutor", - "dialogue": "Label." - }, - { - "start": "08:16.00", - "stop": "08:16.32", - "speaker": "Tutor", - "dialogue": "That Hos" - }, - { - "start": "08:16.36", - "stop": "08:18.28", - "speaker": "Tutor", - "dialogue": "you want to, then To keep track of where set Wu go?" - }, - { - "start": "08:37.04", - "stop": "08:41.00", - "speaker": "Tutor", - "dialogue": "All right, Keep going from D to D. What's going on on the journey here?" - }, - { - "start": "09:03.12", - "stop": "09:04.76", - "speaker": "Student", - "dialogue": "Es, the, the car doesn't stop." - }, - { - "start": "09:09.44", - "stop": "09:11.68", - "speaker": "Tutor", - "dialogue": "So from C to D, the car is traveling." - }, - { - "start": "09:12.52", - "stop": "09:13.44", - "speaker": "Tutor", - "dialogue": "Yes, cool." - }, - { - "start": "09:14.16", - "stop": "09:19.40", - "speaker": "Tutor", - "dialogue": "think about how it's traveling and maybe using those purple power words can help you describe." - }, - { - "start": "09:33.20", - "stop": "09:48.16", - "speaker": "Student", - "dialogue": "Between Tween C and D, the distance increases by fifty miles, while the time increases by one hour." - }, - { - "start": "09:51.04", - "stop": "09:56.24", - "speaker": "Tutor", - "dialogue": "Excellent job of explaining your thinking and using those words about how those things are changing together." - }, - { - "start": "09:57.00", - "stop": "10:08.60", - "speaker": "Tutor", - "dialogue": "Now you label it somehow, you could label it on the map or the graph or type in words, but somehow label what's happening from C to D in the journey." - }, - { - "start": "10:59.44", - "stop": "11:00.24", - "speaker": "Tutor", - "dialogue": "Oh, there it is." - }, - { - "start": "11:01.12", - "stop": "11:01.68", - "speaker": "Tutor", - "dialogue": "we seendy." - }, - { - "start": "11:01.76", - "stop": "11:04.80", - "speaker": "Tutor", - "dialogue": "The distance increases by fifty miles and the time increases by an hour." - }, - { - "start": "11:05.52", - "stop": "11:06.08", - "speaker": "Tutor", - "dialogue": "So cool." - }, - { - "start": "11:06.40", - "stop": "11:16.56", - "speaker": "Tutor", - "dialogue": "you're now talking about how the variable is changing and you're describing the units, so you know how much it's changing by, And you're talking about both of these" - }, - { - "start": "11:16.68", - "stop": "11:25.32", - "speaker": "Tutor", - "dialogue": "at the same time, So C, a D shows how both distance and time are changing in relation to each other." - }, - { - "start": "11:26.92", - "stop": "11:28.44", - "speaker": "Tutor", - "dialogue": "Sweet K, So" - }, - { - "start": "11:28.56", - "stop": "11:30.68", - "speaker": "Tutor", - "dialogue": "let's now unpack D to E. a little bit." - }, - { - "start": "11:32.12", - "stop": "11:33.04", - "speaker": "Tutor", - "dialogue": "Your gut told you" - }, - { - "start": "11:33.20", - "stop": "11:34.20", - "speaker": "Tutor", - "dialogue": "it was New York city." - }, - { - "start": "11:35.48", - "stop": "11:39.32", - "speaker": "Tutor", - "dialogue": "Now challenge yourself to describe why" - }, - { - "start": "11:39.88", - "stop": "11:44.76", - "speaker": "Tutor", - "dialogue": "it's New York City, and those purple power words might be helpful." - }, - { - "start": "12:40.24", - "stop": "12:42.28", - "speaker": "Tutor", - "dialogue": "I know you're doing some deep thinking right now." - }, - { - "start": "12:42.56", - "stop": "12:52.80", - "speaker": "Tutor", - "dialogue": "What's going on in your head and it's Ok if you don't have a well formed answer." - }, - { - "start": "12:53.40", - "stop": "12:56.48", - "speaker": "Tutor", - "dialogue": "Like, what are you trying to make sense of in your head?" - }, - { - "start": "12:56.64", - "stop": "12:57.56", - "speaker": "Tutor", - "dialogue": "What are you unsure of?" - }, - { - "start": "12:57.72", - "stop": "12:58.64", - "speaker": "Tutor", - "dialogue": "What are you thinking about?" - }, - { - "start": "12:58.76", - "stop": "12:59.80", - "speaker": "Tutor", - "dialogue": "What are you paying attention?" - }, - { - "start": "12:59.88", - "stop": "13:29.76", - "speaker": "Student", - "dialogue": "To between between D and E, the distance increases and time also increases." - }, - { - "start": "13:32.20", - "stop": "13:36.56", - "speaker": "Tutor", - "dialogue": "Beautiful, they're both increasing, but I hear some hesitation in your voice." - }, - { - "start": "13:37.12", - "stop": "13:44.72", - "speaker": "Tutor", - "dialogue": "Are they increasing in the same way that they were both increasing from C to d, N. No, what's different?" - }, - { - "start": "14:00.12", - "stop": "14:07.56", - "speaker": "Student", - "dialogue": "The it's It's not increasing at a constant rate." - }, - { - "start": "14:08.68", - "stop": "14:10.12", - "speaker": "Tutor", - "dialogue": "Ooh, constant rate." - }, - { - "start": "14:10.80", - "stop": "14:11.72", - "speaker": "Tutor", - "dialogue": "What does that mean?" - }, - { - "start": "14:12.24", - "stop": "14:12.88", - "speaker": "Tutor", - "dialogue": "Cool thinking?" - }, - { - "start": "14:34.84", - "stop": "14:59.88", - "speaker": "Tutor", - "dialogue": "if a car is traveling at a constant rate, Is it doing that from C to D or D to E. C. D, Ok, So you are saying this section is, if it's a constant rate, what does that mean as going on with a car from Cda?" - }, - { - "start": "14:59.92", - "stop": "15:11.52", - "speaker": "Student", - "dialogue": "D. it's travelling at the same speed." - }, - { - "start": "15:12.80", - "stop": "15:16.48", - "speaker": "Tutor", - "dialogue": "Speed interesting, first time you've used this word." - }, - { - "start": "15:17.28", - "stop": "15:19.92", - "speaker": "Tutor", - "dialogue": "I don't see speed on here, so let's put that up here." - }, - { - "start": "15:20.40", - "stop": "15:21.96", - "speaker": "Tutor", - "dialogue": "What does speed mean?" - }, - { - "start": "15:25.20", - "stop": "15:25.64", - "speaker": "Tutor", - "dialogue": "How do you know" - }, - { - "start": "15:25.80", - "stop": "15:27.60", - "speaker": "Tutor", - "dialogue": "it's travelling at the same speed there?" - }, - { - "start": "15:28.00", - "stop": "15:29.60", - "speaker": "Tutor", - "dialogue": "And what is this speed thing?" - }, - { - "start": "15:29.68", - "stop": "15:30.52", - "speaker": "Tutor", - "dialogue": "you're talking about?" - }, - { - "start": "15:48.56", - "stop": "15:49.36", - "speaker": "Tutor", - "dialogue": "What is speed?" - }, - { - "start": "15:49.52", - "stop": "15:50.28", - "speaker": "Tutor", - "dialogue": "What does that mean" - }, - { - "start": "15:50.84", - "stop": "15:53.60", - "speaker": "Tutor", - "dialogue": "If you were going to go up to somebody on the street and describe to them" - }, - { - "start": "15:53.68", - "stop": "15:54.84", - "speaker": "Tutor", - "dialogue": "what speed means Caause." - }, - { - "start": "15:54.84", - "stop": "15:56.32", - "speaker": "Tutor", - "dialogue": "I'd never heard that word before." - }, - { - "start": "15:57.24", - "stop": "15:58.04", - "speaker": "Tutor", - "dialogue": "What would you say?" - }, - { - "start": "16:01.80", - "stop": "16:03.24", - "speaker": "Student", - "dialogue": "How fast something goes?" - }, - { - "start": "16:03.64", - "stop": "16:10.56", - "speaker": "Tutor", - "dialogue": "Ah, so from C to D, the car is going at a constant rate or a constant speed." - }, - { - "start": "16:12.00", - "stop": "16:12.76", - "speaker": "Tutor", - "dialogue": "It's traveling." - }, - { - "start": "16:13.36", - "stop": "16:15.52", - "speaker": "Tutor", - "dialogue": "It's not going faster or slower." - }, - { - "start": "16:15.96", - "stop": "16:18.56", - "speaker": "Tutor", - "dialogue": "It's staying at the same rate of speed." - }, - { - "start": "16:18.80", - "stop": "16:19.88", - "speaker": "Tutor", - "dialogue": "The same fastness." - }, - { - "start": "16:21.40", - "stop": "16:22.20", - "speaker": "Tutor", - "dialogue": "Is that what you mean?" - }, - { - "start": "16:23.32", - "stop": "16:25.56", - "speaker": "Tutor", - "dialogue": "Yeah, okay, so from D to E?" - }, - { - "start": "16:26.44", - "stop": "16:30.80", - "speaker": "Tutor", - "dialogue": "if it's not a constant rate, what can you say about the speed of the car from D to?" - }, - { - "start": "16:30.92", - "stop": "16:44.64", - "speaker": "Student", - "dialogue": "E, between D and e, the car." - }, - { - "start": "16:46.76", - "stop": "16:50.04", - "speaker": "Student", - "dialogue": "The car isn't going the same speed the whole way." - }, - { - "start": "16:50.44", - "stop": "16:51.40", - "speaker": "Tutor", - "dialogue": "It's not, is it?" - }, - { - "start": "16:51.84", - "stop": "16:58.64", - "speaker": "Tutor", - "dialogue": "The speed is varying or changing, so from C to D. I'm goning to add to what you said" - }, - { - "start": "16:58.72", - "stop": "17:05.44", - "speaker": "Tutor", - "dialogue": "here, the distance increases and the time increases, but the speed stays the same." - }, - { - "start": "17:07.12", - "stop": "17:07.48", - "speaker": "Tutor", - "dialogue": "Ops." - }, - { - "start": "17:08.08", - "stop": "17:19.76", - "speaker": "Tutor", - "dialogue": "Can you still say that, Put it on here from C to D, and from D to E. the distance increases." - }, - { - "start": "17:20.56", - "stop": "17:25.44", - "speaker": "Tutor", - "dialogue": "the time increases, But what would we say about the speed from D to?" - }, - { - "start": "17:25.56", - "stop": "17:43.20", - "speaker": "Student", - "dialogue": "E, the speed is increasing, but the speed is not constant." - }, - { - "start": "17:43.64", - "stop": "17:43.68", - "speaker": "Student", - "dialogue": "it." - }, - { - "start": "17:43.88", - "stop": "17:44.84", - "speaker": "Tutor", - "dialogue": "Is not constant?" - }, - { - "start": "17:45.36", - "stop": "17:46.84", - "speaker": "Tutor", - "dialogue": "Oh, my goodness, do you hear that noise?" - }, - { - "start": "17:47.56", - "stop": "17:49.96", - "speaker": "Tutor", - "dialogue": "Yeah, it's hailing really back at my house." - }, - { - "start": "17:52.24", - "stop": "17:54.44", - "speaker": "Tutor", - "dialogue": "That's gon to be really nice on this recording too." - }, - { - "start": "17:56.40", - "stop": "17:57.40", - "speaker": "Tutor", - "dialogue": "Wow, it's like" - }, - { - "start": "17:57.96", - "stop": "17:59.84", - "speaker": "Tutor", - "dialogue": "they're like the size of like a golf ball" - }, - { - "start": "18:00.00", - "stop": "18:00.32", - "speaker": "Tutor", - "dialogue": "Right now" - }, - { - "start": "18:00.52", - "stop": "18:01.28", - "speaker": "Tutor", - "dialogue": "Out my window." - }, - { - "start": "18:02.96", - "stop": "18:05.76", - "speaker": "Tutor", - "dialogue": "I was trying to pretend like nothing was happening, but I couldn't do it anymore." - }, - { - "start": "18:07.40", - "stop": "18:07.76", - "speaker": "Tutor", - "dialogue": "All right." - }, - { - "start": "18:07.92", - "stop": "18:10.60", - "speaker": "Tutor", - "dialogue": "Sorry, that's way distracting and there's nothing I can do about it." - }, - { - "start": "18:13.84", - "stop": "18:16.40", - "speaker": "Tutor", - "dialogue": "Um, let's type that." - }, - { - "start": "18:17.64", - "stop": "18:19.96", - "speaker": "Tutor", - "dialogue": "so do a text box to type." - }, - { - "start": "18:20.08", - "stop": "19:35.76", - "speaker": "Tutor", - "dialogue": "What's happening with all these things that are changing from D to E. All right, I'm gona try to udut really quick and talk, can you?" - }, - { - "start": "19:36.32", - "stop": "19:37.88", - "speaker": "Tutor", - "dialogue": "Oh, this might be better in here." - }, - { - "start": "19:39.52", - "stop": "19:39.68", - "speaker": "Tutor", - "dialogue": "Oh" - }, - { - "start": "19:39.76", - "stop": "19:40.12", - "speaker": "Tutor", - "dialogue": "my gosh." - }, - { - "start": "19:40.32", - "stop": "19:42.04", - "speaker": "Tutor", - "dialogue": "I can't wait for them to watch this recording." - }, - { - "start": "19:44.36", - "stop": "19:44.60", - "speaker": "Tutor", - "dialogue": "Okay?" - }, - { - "start": "19:44.80", - "stop": "19:46.08", - "speaker": "Tutor", - "dialogue": "is it a little quieter in here?" - }, - { - "start": "19:47.24", - "stop": "19:49.68", - "speaker": "Tutor", - "dialogue": "Yeah, okay, we are almost done." - }, - { - "start": "19:50.16", - "stop": "19:51.72", - "speaker": "Tutor", - "dialogue": "Thank you so much for being patient." - }, - { - "start": "19:53.24", - "stop": "19:54.08", - "speaker": "Tutor", - "dialogue": "Okay, so let's talk" - }, - { - "start": "19:54.12", - "stop": "20:00.88", - "speaker": "Tutor", - "dialogue": "a little bit about what graphs do earlier on when you thought D to E was New York City, but you couldn't explain it." - }, - { - "start": "20:02.12", - "stop": "20:03.20", - "speaker": "Tutor", - "dialogue": "Were you thinking about?" - }, - { - "start": "20:03.52", - "stop": "20:12.56", - "speaker": "Tutor", - "dialogue": "It was bumpy here because New York City has a lot of roads or there's bumps in the road, Or what were you thinking about about New York City?" - }, - { - "start": "20:12.64", - "stop": "20:14.08", - "speaker": "Tutor", - "dialogue": "That's the same or different now." - }, - { - "start": "20:26.32", - "stop": "20:33.48", - "speaker": "Tutor", - "dialogue": "I guess my bigger question is were you thinking about speed when you first started putting your points here, or did that come later?" - }, - { - "start": "20:35.76", - "stop": "20:37.52", - "speaker": "Tutor", - "dialogue": "Yeah, that's what my hunch was, too." - }, - { - "start": "20:38.96", - "stop": "20:45.96", - "speaker": "Tutor", - "dialogue": "Um, and then when you were thinking about Eda F, were you thinking about it as it's the end of the graph, or were you also noticing Eda" - }, - { - "start": "20:46.04", - "stop": "20:48.04", - "speaker": "Tutor", - "dialogue": "F looks like Eda F. over here." - }, - { - "start": "20:52.76", - "stop": "20:53.72", - "speaker": "Tutor", - "dialogue": "It was both okay." - }, - { - "start": "20:53.96", - "stop": "20:54.64", - "speaker": "Tutor", - "dialogue": "That was my hunch." - }, - { - "start": "20:54.68", - "stop": "20:59.52", - "speaker": "Tutor", - "dialogue": "I just wasn't completely sure and that was about when the recording stopped for us, And so we didn't get to go deeper with that." - }, - { - "start": "20:59.96", - "stop": "21:05.64", - "speaker": "Tutor", - "dialogue": "Yeah, so now you've started thinking about speed and that is exactly what this blue line is showing." - }, - { - "start": "21:06.92", - "stop": "21:09.96", - "speaker": "Tutor", - "dialogue": "So this graph shows us how distance is changing." - }, - { - "start": "21:10.72", - "stop": "21:21.60", - "speaker": "Tutor", - "dialogue": "It shows us how time is changing, and then it shows us how those two things are changing in relationship to each other, which has a special thing that it creates." - }, - { - "start": "21:21.68", - "stop": "21:22.92", - "speaker": "Tutor", - "dialogue": "In this instance its speed." - }, - { - "start": "21:23.60", - "stop": "21:26.68", - "speaker": "Tutor", - "dialogue": "because speed is the relationship of miles to ours." - }, - { - "start": "21:27.32", - "stop": "21:33.56", - "speaker": "Tutor", - "dialogue": "You also started recognizing and making sense that this blue line can show us the rate of change." - }, - { - "start": "21:34.36", - "stop": "21:39.04", - "speaker": "Tutor", - "dialogue": "Is it a constant rate of change, or is it a rate that varies?" - }, - { - "start": "21:40.56", - "stop": "21:44.00", - "speaker": "Tutor", - "dialogue": "And as you were making sense of the graph, you started to connect those." - }, - { - "start": "21:45.00", - "stop": "21:48.88", - "speaker": "Tutor", - "dialogue": "these purple power words can help you make sense of any graph." - }, - { - "start": "21:49.92", - "stop": "21:54.88", - "speaker": "Tutor", - "dialogue": "No matter what it's keeping track of, Always think about what's being measured on this side." - }, - { - "start": "21:55.24", - "stop": "21:56.40", - "speaker": "Tutor", - "dialogue": "and how is it changing?" - }, - { - "start": "21:57.16", - "stop": "22:02.08", - "speaker": "Tutor", - "dialogue": "Is it increasing, decreasing or staying the same, And then what's being measured on this axies?" - }, - { - "start": "22:02.84", - "stop": "22:06.48", - "speaker": "Tutor", - "dialogue": "And how is it is it increasing, decreasing or staying the same?" - }, - { - "start": "22:07.08", - "stop": "22:14.00", - "speaker": "Tutor", - "dialogue": "And then what's in the middle of the graph describes how these two things are changing in relationship to each other." - }, - { - "start": "22:15.28", - "stop": "22:16.12", - "speaker": "Tutor", - "dialogue": "Does that make sense?" - }, - { - "start": "22:17.64", - "stop": "22:19.68", - "speaker": "Tutor", - "dialogue": "Yeah, okay, um, I know" - }, - { - "start": "22:19.80", - "stop": "22:29.68", - "speaker": "Tutor", - "dialogue": "we've had some technical glitches and some weather background mishaps, but I would also love to know you're helping us test out this platform and this way of learning." - }, - { - "start": "22:30.16", - "stop": "22:32.68", - "speaker": "Tutor", - "dialogue": "So what was this experience like for you?" - }, - { - "start": "22:33.96", - "stop": "22:43.12", - "speaker": "Tutor", - "dialogue": "Are there things that you feel like you've learned things that you think would be helpful for us to keep doing, or things that would be helpful for us to change to make a better?" - }, - { - "start": "22:49.68", - "stop": "22:57.08", - "speaker": "Student", - "dialogue": "I think everything was well." - }, - { - "start": "22:57.20", - "stop": "23:07.88", - "speaker": "Student", - "dialogue": "This program was pretty easy to to use and helped to expin." - }, - { - "start": "23:13.68", - "stop": "23:15.12", - "speaker": "Tutor", - "dialogue": "To explain in what sense?" - }, - { - "start": "23:16.08", - "stop": "23:19.28", - "speaker": "Student", - "dialogue": "Like explain my my thinking." - }, - { - "start": "23:20.44", - "stop": "23:30.20", - "speaker": "Tutor", - "dialogue": "Ah, because you were able to draw it, or because I, you were able to see what I was drawing, or both or something else, both both cool." - }, - { - "start": "23:30.76", - "stop": "23:34.84", - "speaker": "Tutor", - "dialogue": "Is there anything that you feel like you learned or that you're thinking about differently now?" - }, - { - "start": "23:43.16", - "stop": "23:50.32", - "speaker": "Student", - "dialogue": "Probably those those different words to thinkout when reading a graph?" - }, - { - "start": "23:52.40", - "stop": "23:52.88", - "speaker": "Tutor", - "dialogue": "Beautiful." - }, - { - "start": "23:53.08", - "stop": "23:53.28", - "speaker": "Tutor", - "dialogue": "Yep." - }, - { - "start": "23:53.36", - "stop": "23:58.84", - "speaker": "Tutor", - "dialogue": "and any time you encounter a graph, think about describing it in your head." - }, - { - "start": "23:59.00", - "stop": "24:04.84", - "speaker": "Tutor", - "dialogue": "Even if the teacher or tutor doesn't ask what's changing here, And how is it changing" - }, - { - "start": "24:05.28", - "stop": "24:06.16", - "speaker": "Tutor", - "dialogue": "And that will help you." - }, - { - "start": "24:06.56", - "stop": "24:13.68", - "speaker": "Tutor", - "dialogue": "as graphs get more and more different looking, you'll experience a lot of different types of graphs from here on out." - }, - { - "start": "24:16.08", - "stop": "24:16.60", - "speaker": "Tutor", - "dialogue": "Sound good." - }, - { - "start": "24:17.80", - "stop": "24:18.52", - "speaker": "Tutor", - "dialogue": "Yeah, all right." - }, - { - "start": "24:18.60", - "stop": "24:20.76", - "speaker": "Tutor", - "dialogue": "is there anything you think that we should change or do different?" - }, - { - "start": "24:23.60", - "stop": "24:24.12", - "speaker": "Student", - "dialogue": "I don't think." - }, - { - "start": "24:24.20", - "stop": "24:35.88", - "speaker": "Tutor", - "dialogue": "So maybe not freeze in the middle of the session or not try to record when there's hail banging on the window Cool." - }, - { - "start": "24:36.52", - "stop": "24:39.64", - "speaker": "Tutor", - "dialogue": "All right, Thank you so much for being patient and for sharing your thinking." - }, - { - "start": "24:39.92", - "stop": "24:46.16", - "speaker": "Tutor", - "dialogue": "And I can tell that you think really deeply in those moments of silence that's powerful." - }, - { - "start": "24:46.80", - "stop": "24:49.44", - "speaker": "Tutor", - "dialogue": "Allow yourself to go to those deep parts of your brain" - }, - { - "start": "24:50.44", - "stop": "24:55.08", - "speaker": "Tutor", - "dialogue": "because you're a beautifully powerful mathematical thinker, So I want you to always keep doing that." - }, - { - "start": "24:55.20", - "stop": "25:00.28", - "speaker": "Tutor", - "dialogue": "O, K, Math isn't about being speed, uh, speedy or fast." - }, - { - "start": "25:00.40", - "stop": "25:04.00", - "speaker": "Tutor", - "dialogue": "it's about thinking, so always take your time and think deeply." - }, - { - "start": "25:06.68", - "stop": "25:06.80", - "speaker": "Student", - "dialogue": "Ok." - } -] \ No newline at end of file diff --git a/data/analyzers/4244.csv b/data/analyzers/4244.csv deleted file mode 100644 index f72ed6b..0000000 --- a/data/analyzers/4244.csv +++ /dev/null @@ -1,171 +0,0 @@ -dialogue,Speaker,talktime,math_density,uptake,student_reasoning,focusing_questions -"All right, cool. So first I will explain some of the tools that we're going to use. We'll practice using them and then I'll explain a little bit about what it'll be like when we're working together. Sound good? Sounds great. Okay, so can you see my arrow moving around? Yep. I think I can see yours too. Yep, perfect. There are tools over here on the left-hand side. Okay. Oh, I can press these. You see them? Mm-hmm. All right, so the pencil, whenever you click on it, right above it, there's a color and a size bar that pops up. Oh, I see. So if you want to change your color or size for anything that we're writing or drawing, you can do it there. And then the T in the center of a box, if you click that, it will allow you to add a text box if you prefer to type. Okay. And then we're gonna practice erasing. So whatever you do, don't hit the trash can button. Okay. If you hit that button, it erases all of your beautiful thinking and there's no way for us to get it back.",Tutor,195,1,,,0.0 -"Oh, so then like if I want to erase something, do I press the X? So that's",Student,17,0,,0.0, -"what we're gonna practice. So draw something with the pencil. Okay, I'll draw a little heart. Beautiful. Then you have to select what you want to erase first. And so this top arrow is your select arrow. Make sure that's highlighted. Click on whatever it is you want to erase. Mm-hmm. And then you hit the X, the arrow, yeah, there you go. Gotcha, okay. Cool? Yeah. All right. And then you can close your chat box if it's open. Okay, yeah, let me do that. Okay, we will, that way it makes your screen bigger. Mm-hmm. And we'll be talking back and forth like this. Okay. And I will ask you lots of questions. Okay. But just because I ask you a question doesn't mean you did something wrong or I want to know a specific answer. I just want to know as much as I can about your thinking. Okay. And on that note, you know how sometimes you're thinking quietly inside your head? Yeah. The more you can say those things out loud, even if they're not fully formed thoughts, the better. It really helps me understand how you're thinking about something. Okay, I'll practice that. Even if it's like, um, I'm not sure what she's talking about right now. Say those things. And then if you, if I ask you something and you're like, oh, not sure, I need some time to think about that, just verbalize that you need time so that I don't interrupt your thinking by asking or talking more. Okay, I got you. Cool. Are you ready to get started? Yeah. Okay, I'm gonna change the page. Do you see something different now? Yeah, I see the map. Yeah. So take a minute to read it and look it over and then explain to me what you think is happening in this situation. Okay.",Tutor,312,0,1.0,,0.0 -"Um, it looks like, um, like the lines are the, what's it called? What's the word? It's the, oh my gosh, it's on the tip of my tongue. It's kind of like the path that the driver took to get to Newark. Point to what you're talking about there. What",Student,50,1,,0.0, -"do you see? Oh, um, these. Okay. So yeah, that's the I-95, the interstate. Mm-hmm. Okay. Cool. What are some things that you think we might be able to",Tutor,29,0,1.0,,0.0 -"measure in this situation? Um, things we'll be able to measure. Oh, sorry. Sorry, give me one second. Sorry. Um, no worries. Oh, oopsies. No, okay. Something we'd be able to measure? I mean,",Student,34,3,,0.0, -"like, like accurately? Just anything that might be happening in a situation that we",Tutor,14,0,1.0,,0.0 -"could think about measuring. Mm-hmm. I want to say, like, how far Providence is from New York City, but like, that wouldn't be accurate. So what you're saying is, if we",Student,31,1,,0.0, -"had some more information, we could find how far New York City is from Providence. Yeah. Yeah? Cool. So what would we be measuring there? What is that thing that we would be measuring? The distance. Yeah. So what are some units we could use to measure the",Tutor,48,5,1.0,,0.0 -"distance? Um, we could do, like, how many hours it is away, how many miles it takes. Yeah, those are the main ones that come to mind. Okay, cool. Is there anything else you can think",Student,36,1,,0.0, -"of that we might be able to measure? Not sure. Cool, and it's totally okay and beautiful to say that at any point, too. Okay? Okay. All right, now I'm going to uncover something, and I want you to think about how it was similar or different to what you were thinking about. Okay. Oh, that's what I said. Say more. So you're saying that it's",Tutor,66,1,1.0,,0.0 -"similar to what you were thinking? Yeah. Explain more. Um, like, with what I said, like, how many hours it's away and how many miles it takes to get there. Okay.",Student,31,0,,0.0, -"So looking at the map and the graph, explain what is happening during each stage of this journey.",Tutor,18,1,1.0,,1.0 -"What is happening? Um, on the graph, it says that they were able to drive 50 miles in one hour from point A to point B, and then, um, they were still only able to drive 50 miles in, um, an hour and a half from point B to point C, and then from point C to point D. That's about, that's 100 miles in, like, almost two and a half hours. And then, what do the squiggly lines mean?",Student,80,2,,0.0, -"Oh, great question. Yeah. Think about that for a minute. What do you think those squiggly lines",Tutor,17,1,1.0,,1.0 -"might mean? Um, traffic. Okay. Why do you think it's traffic? Because right here, it's, like, street, and it kind of looks like easy driving and stuff, and then it's here, so it's like, oh, there was an interruption in the drive. Well, I'm gonna, I want to know a little bit more about",Student,54,0,,0.0, -"that. What makes something an easy drive, and what makes something an interruption in your mind?",Tutor,16,0,1.0,,0.0 -"Because it's, like, straight, so it's like, oh, um, like, comparing these two, like, this is straight, so it's like, oh, like, nothing really was stopping the driver, and they were just, like, they just kept going. But here, it looks like the driver was being stopped by something, and there was an interruption in the, in the trip. Okay. So you've been pointing to this blue line.",Student,68,1,,0.0, -Mm-hmm. Is this blue line representing distance or time or something else?,Tutor,12,2,1.0,,0.0 -"Um, I feel like, hmm, let me think about that one. Cool. Time or distance? I feel like the blue line represents the distance, kind of. not the distance kinda.",Student,30,4,,0.0, -What are you thinking?,Tutor,4,0,0.0,,1.0 -I don't know. I'm trying to figure it out. I'm not very sure.,Student,13,0,,0.0, -"Okay. So your brain is saying, all right, there's distance and time here in this situation. The blue line has something to do, you've described, like a, did you say easy drive? Or an interrupted drive? Yeah. Yeah, like the straight lines was like an easy drive.",Tutor,47,3,0.0,,0.0 -"And then the little squigglies, like, oh, there was an interruption or turbulence in the drive, kind of. Cool thinking. All right.",Student,22,0,,0.0, -"So we're going to dig a little bit deeper into that and try to make sense of what is this thing that the blue line is keeping track of. Okay? All right. So on the map, there's no letters. But there's some letters on the graph. Yeah. Where do you think those letters on the graph would be located on the map? And you can use your drawing tool or your text tool, whatever makes sense for you to label.",Tutor,80,3,0.0,,0.0 -I could just like point at it and stuff. I think that's easiest for me.,Student,15,0,,0.0, -Okay.,Tutor,1,0,0.0,,0.0 -"So I feel like Providence was like right here, because that's a starting point. And then.",Student,16,0,,0.0, -So just you're saying then this point would be point A?,Tutor,11,0,1.0,,0.0 -Yeah.,Student,1,0,,, -Okay.,Tutor,1,0,,,0.0 -And then 50 miles. I don't know. Point B. Because it took four hours. How many hours did it take to get there?,Student,23,0,,0.0, -How could you figure that out?,Tutor,6,0,0.0,,1.0 -"I think. Let me see. I think it took four hours, and this is where it like. And point F is like when it's at. When the person reaches Newark.",Student,30,0,,0.0, -Point F would be here?,Tutor,5,0,1.0,,0.0 -Yeah.,Student,1,0,,, -And I saw what you did with your pointer. Were you reading that four hours is right here? Yeah.,Tutor,19,0,,,0.0 -"Cool. Okay. And then point E. Point E is right here, because it's straight. And over here is like squiggly and stuff. It kind of looks like this if it was enlarged.",Student,32,0,,0.0, -Okay. So you're thinking the point E is here? Yeah. Is that because this little tail of the road looks like this little tail right here?,Tutor,26,0,1.0,,1.0 -Yeah.,Student,1,0,,, -So you're saying that this squiggly part is kind of like this squiggly line where?,Tutor,15,1,,,1.0 -"Yeah, like right over here-ish.",Student,5,0,,, -"Okay. So I'm going to have you think for a minute and make some predictions, and then point to where you want to label points B, C, and D.",Tutor,29,0,0.0,,0.0 -Okay.,Student,1,0,,, -Okay. Okay. What are you trying to sort through in your head?,Tutor,12,0,,,1.0 -"I'm trying to sort through where the straight points would be, because I don't think they would be, like, all the way up here. So I'm like maybe the whole theory with, like, all of this being this part was wrong. I'm trying to figure out what would be right.",Student,50,1,,0.0, -"So you're trying to find, because A to B is straight on the graph, you're trying to find a straight part on the map?",Tutor,24,1,1.0,,1.0 -Yeah.,Student,1,0,,, -To connect that?,Tutor,3,0,,,1.0 -Yeah.,Student,1,0,,, -"Okay. Cool. That really helps me understand how you're making sense of this. I'm going to type some words up here. Okay. And I'm going to type them in purple. We're going to call these our purple power words. So as I ask you questions, I want you to challenge yourself to use these purple power words as much as possible. Okay? Yeah. Okay. So first we're going to look at just distance. And from A to B, describe to me what is happening with distance.",Tutor,86,2,,,0.0 -It's staying the same.,Student,4,0,,, -And say it in a complete sentence.,Tutor,7,0,,,0.0 -"Oh, my gosh. Not staying the same. I mean, the distance is increasing from zero to 50.",Student,17,1,,0.0, -Cool. I'm going to write that up here. So from A to B.,Tutor,13,0,0.0,,0.0 -What did you say again?,Student,5,0,,, -"There's an increase in distance. In distance. Anything else you want to say about it? Are you happy with this? I'm happy with that. Okay. So from A to B, there is an increase in distance. Now, what's going on with this thing? What's going on with this thing?",Tutor,49,3,0.0,,1.0 -What's happening from A to B? Sorry. The time. There's an increase in.,Student,13,0,,0.0, -"So from A to B, there's an increase in distance. And an increase in time. Yeah. Okay. So if I'm on this map. And you said that we're taking the journey and we're starting in Providence and we're driving down this path or interstate. Yeah. And we end up in Newark. From A to B. If I'm going to. I'm going to go to A. Okay. So point B has to be at a place where there isn't. To show an increase in distance and an increase in time. So what it makes sense for B to be located over here. No, no. That's got to show an increase in the journey. Okay.",Tutor,113,2,1.0,,0.0 -So take your best guess of where you think point B could be located on the map. Okay. I think point B.,Student,22,0,,0.0, -Would be.,Tutor,2,0,0.0,,0.0 -Around the right here. Okay. Why do you want it to go there? Because that shows. Like. The driver is moving forward.,Student,22,0,,0.0, -And that looks like a good enough distance. Yeah. And you're looking at the straight thing here.,Tutor,17,1,1.0,,0.0 -Yeah.,Student,1,0,,, -Okay. So let's also explore this. Deeper. Because you've said now. From A to B. There is an increase in distance. The distance increases by 50 miles. And the time increases by one hour. And something. Is going on here with this line that you noticed earlier. It's this smooth line. So it's an easy drive. I think is the word you used. Yeah. So. What's easy about it? What's happening from A to B.,Tutor,75,4,,,1.0 -It's just. It's. Like. It's just like. An equal. Okay.,Student,10,0,,0.0, -I don't know how to explain it. Okay. That's okay. I want your brain to sit with that a little bit.,Tutor,21,0,0.0,,0.0 -Okay.,Student,1,0,,, -Okay. We're going to dig some more here. Where. What is going on from B to C. And again. Use these purple power words.,Tutor,24,0,,,0.0 -The distance has stayed the same. But there is an increase in D. And time.,Student,15,1,,0.0, -So what's going on with the car? If the distance is staying the same.,Tutor,14,1,1.0,,0.0 -But there's an increase. Maybe the car is stopped.,Student,9,0,,0.0, -Your voice is like. Maybe it's stopped. Are you convinced?,Tutor,10,0,1.0,,0.0 -It's stopped. Yeah. I think it's stopped. I think it's stopped because. There's been no. Increase in the amount of distance. So it's like staying still. What is. What are they doing?,Student,32,1,,0.0, -Time.,Tutor,1,0,1.0,,0.0 -I don't know.,Student,3,0,,, -"Maybe they ran out of gas. Could be. Maybe they are also like, maybe there was a car accident. Has completely stopped. Yeah. But something's gone on. That says the. Distance hasn't changed. And time has increased. So how long was the car stopped for? Half an hour. Okay.",Tutor,49,1,,,0.0 -Where would you like to put point C on the map? Stay at the same. Point as B. Because the car hasn't moved. So it's still be.,Student,27,0,,0.0, -Technically at that point. Okay. So those are at the same point on the map. All right.,Tutor,17,0,1.0,,0.0 -What goes on from C to D? So. The car has moved. And it's now at a hundred miles away. Okay. It is now. It has been approximately two and a half hours.,Student,33,2,,0.0, -Since. Yeah. So from a to B.,Tutor,7,0,1.0,,0.0 -To B. 50 miles.,Student,4,0,,, -"All right. I want you to label that somehow. You can either do it in the text box up here, or you can label it over here on the map. We're going to keep track of that distance.",Tutor,38,1,,,0.0 -From a to B. Okay. Do you want me to like.,Student,11,0,,0.0, -"Like a little mark. Mark me. Okay. So if we're going to pretend like my arrow is 50 miles from Providence. Yeah. Where. So on the map somewhere, where would that 50 miles be?",Tutor,34,0,0.0,,0.0 -Where do you see that 50 miles?,Student,7,0,,, -"What do you mean? I, what do you see the 50 miles? So if we're going to pretend like my arrows, the car. Are pointing to me, right? Yeah. Tell me when to stop traveling. When you think that I've traveled a total of 50 miles. And I recognize there's no numbers on this map. This is your estimate of where you think 50 miles would be.",Tutor,67,2,1.0,,0.0 -Okay. Okay. Right there.,Student,4,0,,, -"A little front, like right over here. So right where you put point B. Yeah. Okay. So the line right here. Yeah. Yeah. Okay. So use your pencil tool then to label 50 miles up here somehow.",Tutor,37,1,,,0.0 -Okay.,Student,1,0,,, -Yep. There you go. You got to click inside of it to start typing.,Tutor,14,0,,,0.0 -Okay.,Student,1,0,,, -Okay.,Tutor,1,0,,,0.0 -Yeah.,Student,1,0,,, -"And how far,",Tutor,3,0,,,0.0 -how much distance will the car have traveled when it's traveled the whole trip? 150 miles.,Student,16,2,,0.0, -A little more than 150. Okay.,Tutor,6,0,1.0,,0.0 -"So you're saying about from here to here is 50 miles. Oh,",Student,12,0,,0.0, -"Oh, wait, no, that can't be, it can't be right.",Tutor,10,0,0.0,,0.0 -"Okay. Okay. So. That's like, Like it's. So. This could be split into like three sections. 50. And like, this is too little. Like this wouldn't be 50 miles. 50 miles and more. So be over like here.",Student,38,0,,0.0, -"And then it would be like over here. So. So you're saying that you want to change your mind. So you're going to click on the, the search bar or your text box. And it sounds like you want to change your mind from where you originally put BNC. Yeah. Revise your thinking.",Tutor,53,0,1.0,,0.0 -Yeah.,Student,1,0,,, -"Do we get to revise our thinking in math? Huh? Do you get to revise your thinking in math? Do you get to change your mind in math? Sometimes. Yeah, absolutely. You do. Yeah. So I'm going to click on the search bar. And I'm going to click on my rough draft thinking. And now I want to revise that and edit my work. And I want B or C to be somewhere else. So I'm going to erase the ones that I label. And you put some new dots on the map.",Tutor,93,0,,,0.0 -Label what those dots are in your mind. So I'm going to label my whiteboard.,Student,15,0,,0.0, -I think I pressed something on my mouse and I accidentally exited out.,Tutor,13,0,0.0,,0.0 -You just clicked off the window. I think. Cause I can still see you. You can. Okay. Good.,Student,18,0,,0.0, -Cause it had like made me exit out. Sorry about that. That's okay. Can you still see the whiteboard? Yep.,Tutor,20,0,1.0,,0.0 -"I can still see you too. So we're good. So now label those dots. Okay. Yeah. Oh, that's a little bit too big. Perfect. Yeah. So that's 15. That's a hundred. And that's like one 50. So I'll delete. Oh, I know that's still a, oh my gosh. Okay. So that's a. Then this would be. And. See. And.",Student,59,1,,0.0, -"This would be D. And this would be A. So earlier you wanted this to be a, to B, because you said that this part of the map looks like this part of the graph. It's more straight. Yeah. So now. Let's explore what's going on here. This is a curvy line on the map. On the road. But it's a straight line on the graph. So what is the map keeping track of and what is the graph keeping track",Tutor,81,5,1.0,,0.0 -of? The map is keeping track of the road. Maybe. Like how. Hello. And like all the turns and stuff that they have to make. And. The map is keeping track of like.,Student,33,0,,0.0, -"I'm not sure. Maybe like how much traffic. It was. Or something. Yeah. So the graph is keep, you've talked about the easy drive or an interrupted drive. So that graph is keeping track of how the car is moving somehow. Yeah. And you said C is at the same point because distance hasn't changed. So. What's the difference from B to D.",Tutor,63,3,1.0,,0.0 -I'm sorry. C to D. From C to D. There is an increase in distance.,Student,15,1,,0.0, -And an increase in time. There's still that straight line from C to D. Yeah. What's that easy driver. What's that easy driver.,Tutor,23,1,1.0,,0.0 -What's the difference in your mood about C to D.,Student,10,0,,0.0, -Yeah. Is the from B to C. You said the car was stopped. Yeah.,Tutor,14,0,1.0,,0.0 -From C to D is the car stopped.,Student,8,0,,0.0, -"Oh, no, the car is moving. Okay.",Tutor,7,0,1.0,,0.0 -How fast was the car going from B to C. The car wasn't. Going at all. Because.,Student,17,0,,0.0, -It didn't move in distance and the distance in the same. Okay. So the car. Wasn't moving at all. From C to D. The car is moving. Yeah.,Tutor,28,2,1.0,,0.0 -Do you think the car is going at all. No.,Student,10,0,,0.0, -I don't think so.,Tutor,4,0,1.0,,0.0 -What would we need to be able to say how fast the car is going. The amount of miles per hour.,Student,21,0,,0.0, -It's going. How fast was the car going.,Tutor,8,0,1.0,,0.0 -"Per one hour. Oh, wait, no, no. What. I wouldn't give you how fast the car was going. How fast was the car going.",Student,24,0,,0.0, -I'm not sure. But something. Yeah.,Tutor,6,0,0.0,,0.0 -I'm not sure. Yeah. I'm not sure. Like exactly.,Student,9,0,,0.0, -"How we would get it. How we would be able to determine how fast the car was going. Yeah. Okay. If we know. So if we say that a car is going 75 miles per hour. That means that a car has traveled 75 miles. In one hour. So the car has traveled 75 miles. In the span of one hour. Yeah. So anywhere along this graph, do we know anything about.",Tutor,72,1,0.0,,1.0 -Miles and hours. Yeah. The car is traveling.,Student,8,0,,0.0, -50 miles per hour.,Tutor,4,0,1.0,,0.0 -From where.,Student,2,0,,, -I don't know. How did you get 50 miles per hour? Or how did you get. Miles per hour.,Tutor,19,0,,,1.0 -How did you get 50 miles per hour from a to B? Show me what you were seeing. I don't think this is from A to B because. I'm not sure. But. Probably great here.,Student,35,0,,0.0, -Goes up to 50 within an hour. Okay. So from a to B. So. The car traveled. 50 miles. In the period of. One hour. That's a weird looking five. Sorry. In the period of one hour.,Tutor,37,0,1.0,,0.0 -Okay.,Student,1,0,,, -Yeah. Yeah.,Tutor,2,0,,,0.0 -"Is your yeah, like a yes. I know this is 50 miles per hour. I'm not sure. I'm not sure. I think it's like. From a zero. And then it goes up to 50. So I'm not sure if it would be from here to here.",Student,46,0,,0.0, -Or like from here to like here.,Tutor,7,0,1.0,,0.0 -"Like. Well, that's. I think this is right.",Student,8,0,,0.0, -"Yeah, this is right.",Tutor,4,0,1.0,,0.0 -You're convinced now. Yeah.,Student,4,0,,, -Cause no one else would really make sense. Okay. So this line represented. Easy drive. Yeah. And this line represented.,Tutor,20,2,,,0.0 -Interrupted drive.,Student,2,0,,, -"Yeah. If we know that the car is traveling 50 miles per hour. And we have this straight line here. Yeah, this shows that the car is traveling at a constant rate. Or constant speed. So from a to B, the car is traveling.",Tutor,44,1,,,0.0 -"At a constant speed. Yeah. I think the straight lines. I present like 50 miles. Within the hour, because. From point C. To point D.",Student,25,1,,0.0, -That's 50 miles and that's within an hour or two. Okay.,Tutor,11,0,1.0,,0.0 -And what would you label that as? Zero. Because the car hasn't moved.,Student,13,0,,0.0, -"Yeah. Yeah, we would label that as zero. Zero. Miles. Per. Hour. So from B to C, the speed. Stays the same. And then from D to E, the distance. What could you say about D to E? And now you have even more purple power words. So you have the ones that we talked about already to describe how distance is changing. You have the ones to describe how time is changing. And you have started thinking about another. Thing in this situation that we can measure. So we have.",Tutor,91,3,1.0,,0.0 -And what's the unit that we use to think about speed?,Student,11,1,,0.0, -Miles per hour. Oh. Now we have speed. That is also a thing that is changing. Or staying the same.,Tutor,20,0,1.0,,0.0 -So we have. From D to E. Music right here. And then from D to F. So then. That's. More than an hour. And. The distance is increasing. But it's not the full 50 miles. So. D to F. And that is within.,Student,43,1,,0.0, -"About an hour and 45 minutes. So from D to E. Yeah, explain what is happening with distance. And.",Tutor,19,1,1.0,,1.0 -Using these words. Okay. With distance. That is. It's increasing. About 40 miles. And with time. There's an increase. In distance. And.,Student,22,2,,0.0, -And.,Tutor,1,0,0.0,,0.0 -And. It takes. Like. Compared to the other. Like points. It takes a driver longer. To get to. E from point D. And it takes a driver a little bit longer. Did I say an hour and 45 minutes? I meant an hour and like 15. Yeah. So it takes a driver. About. 15 Minutes longer than usual.,Student,58,0,,0.0, -Okay. And earlier you described. Interrupted drive. Yeah. So. In terms of speed.,Tutor,13,0,1.0,,0.0 -"What's happening from D to E with a speed. The driver's like slowing down. And then like right here, they go back. To how they were normally driving. But then they start slowing down again.",Student,35,0,,0.0, -"So it's not. 50 Miles per hour. It's not a constant speed. Or we could think about it as it's not a constant. Rate of change. Yeah. If it's a constant rate of change. Then we have this. Easy drive or the smooth line. And that means all along from C to D. Or a to B. The car is traveling at a constant speed. It's like they set cruise control. Yeah. But from D to E. It's not a constant speed. It's a constant speed. So it increases. And then it. Stays the same. And then it increases. So that means that car is stopping and going. Yeah. Yeah. Yeah. Okay. So. Earlier. When you were talking about. Let me move these out of the way. Earlier. We talked about how we would look at the speed. And figure out how many miles. And the time of the. Situation and think about hours. And then we said we would explore a little bit about what this blue line was keeping track of. So in your own words, how would you describe.",Tutor,182,2,1.0,,0.0 -What that blue line is showing or keeping track of. Yeah. The blue line kept track of like the speed.,Student,20,2,,0.0, -"The drivers going. Exactly. And the speed is this thing. That's a relationship of miles to hours. And then we said, okay, let's. Let me move this. A little bit. In this particular situation, we happen to be thinking about distance. And it's a thing that is changing. And so we could measure how it's changing. We could measure how time. In terms of hours is changing. And then what goes on in the middle of the graph. Is the number of hours. Are changing together. So no matter what type of graph you're dealing with. In school or life. Challenge yourself to think about these purple words. As a way to make sense of the situation here. Okay. Is this variable increasing, decreasing, or staying the same. And how are they changing in relation to each other. And that's what the middle of the graph. Always describes for us. Make sense. Yes. Cool. So, you know, that you're helping us test out this platform. And this way of. Engaging in a math learning experience. So I would love to hear what this experience was like for you. Is there anything that you feel like you learned.",Tutor,197,7,1.0,,0.0 -"That you feel like you're different about now. I feel like I learned. Let me see. Like how to like. To reconsider my thoughts on things. And stuff like when you ask. Oh. I'm going to think about this. Or rethink it out and realize, oh, this might've been wrong. This might've. But yeah. It was very engaging. And. Yeah, it just made me think.",Student,65,0,,0.0, -And stuff. What was helpful for you?,Tutor,7,0,1.0,,1.0 -Or what are some things that we should think about doing differently to make it better? What was helpful? What was helpful was when. You would like. Help me put my thoughts into words. I kind of feel like jumbled. And stuff that was very helpful. And I don't think there's anything I would really change.,Student,56,0,,0.0, -Cool.,Tutor,1,0,0.0,,0.0 -Thank you so much for joining tonight.,Student,7,0,,, -Always do that. You are a really deep thinker. And give yourself permission to do that all the time. And question. And make sense of what it is in the situation.,Tutor,31,0,0.0,,0.0 -I will definitely do that more in the upcoming school year.,Student,11,0,,0.0, -Fantastic. And then always challenge yourself to think about what's going on in this graph. In this situation. What does it keep track of? And what does it mean?,Tutor,29,1,0.0,,1.0 -Okay.,Student,1,0,,, -Okay. Great. Thank you for joining. Thank you.,Tutor,8,0,,,0.0 -Have a good night. Have a good night. Bye. Bye. Bye.,Student,11,0,,0.0, diff --git a/data/analyzers/4245.csv b/data/analyzers/4245.csv deleted file mode 100644 index b083c8a..0000000 --- a/data/analyzers/4245.csv +++ /dev/null @@ -1,216 +0,0 @@ -dialogue,Speaker,talktime,math_density,uptake,student_reasoning,focusing_questions -"Okay, do you see my pointer moving?",Tutor,7,0,,,0.0 -Yep.,Student,1,0,,, -"All right, try to move yours. Let me make sure I can see you too. Awesome. You see the tools on the left-hand side?",Tutor,24,0,,,0.0 -Yeah.,Student,1,0,,, -"All right, so we're going to practice using a couple of them because the erase function can get a little bit tricky. The pencil, that's the second one down. Whenever you click on it, right above, you'll see the color box and size box pop up. That's where you can change things if you decide that you want to make something a different color or a different size. And then the T with a, or a box with a T in the center, it's a text box if you would rather type instead of draw. And if you create something and you decide that you change your mind and want to erase it, you use this top arrow to select what it is that you want to erase. And then the arrow with an X to erase exactly what's selected. If you hit the trash can button, it will erase everything. And we don't want to do that because then we can't get your work back.",Tutor,166,0,,,0.0 -Okay.,Student,1,0,,, -"Okay, so practice drawing something and then erasing what you drew. So use this top arrow up here to select what you want to erase. And then once it's selected, you can click the erase button.",Tutor,36,0,,,0.0 -Yeah.,Student,1,0,,, -It's a little bit tricky. Makes sense?,Tutor,7,0,,,0.0 -Okay.,Student,1,0,,, -"You can also close your chat box if it's open to give you some more workspace. Because we'll be talking back and forth like this. And on that note, I will ask you lots of questions, but that doesn't necessarily mean that you have to answer all of them. You just have to think about what you're thinking about. So I'm going to ask you a few questions. And then I'm going to ask you to think about what you're thinking about. And then you can use your chat box to ask questions. And then I want to ask you a few questions and then I'm going to ask you to think about what you're thinking about. So it's nice you can just verbalize it and say, I'm not sure. Give me some time to think. And then I won't interrupt your thinking that way. Cool?",Tutor,146,0,,,0.0 -Yep.,Student,1,0,,, -All right. We're going to get started.,Tutor,7,0,,,0.0 -I'm guessing it might be distance related. What's it called? Possibly rate of change?,Student,14,1,,0.0, -You said distance related.,Tutor,4,1,1.0,,0.0 -And what else?,Student,3,0,,, -Possibly rate of change. Something might be changing. What are some things that we might measure in this situation?,Tutor,19,1,,,1.0 -Distance and time ratio.,Student,4,2,,, -"Okay. So if you are measuring distance and time ratio, what are some units we might use to",Tutor,18,4,,,0.0 -measure that? Probably like miles per hour. Yeah. Okay.,Student,9,1,,0.0, -So we would use the miles per hour as a unit?,Tutor,11,1,1.0,,1.0 -"Yeah, most likely.",Student,3,0,,, -Use your arrow to show me what's happening in this situation with the car.,Tutor,14,0,,,0.0 -What's it doing? It's driving like upwards.,Student,7,0,,, -Okay.,None,1,0,,, -So if we're pretending...,Tutor,4,0,,,0.0 -"No, down, sorry.",Student,3,0,,, -"Oh, wait. Is it up or down or could it be both?",Tutor,12,0,,,0.0 -From province to New York.,Student,5,0,,, -"Okay. And it's going to drive through New York City on that interstate. Yeah. Okay, cool. Now I'm going to uncover something else. And tell me how this is similar or different to what you were thinking about.",Tutor,38,0,1.0,,1.0 -It's very similar because it's also a rate of change and it's miles per hour.,Student,15,0,,1.0, -Okay. Show me where you see that miles per hour or that rate of change.,Tutor,15,0,1.0,,0.0 -"Well, it's talking about on this side, it's the distance in correlation with how much time has gone by in hours.",Student,21,1,,1.0, -Okay. So what's the blue line showing then? Is it showing miles or is it showing hours or is it showing something else?,Tutor,23,1,1.0,,0.0 -It's showing how many miles the car has moved per hour.,Student,11,0,,0.0, -Okay. So you used... Let me see exactly what it was. You said a distance time ratio. Do you see that ratio anywhere on this graph?,Tutor,26,4,1.0,,1.0 -"I suppose like on the letters, how there's zero and zero, 50 to one.",Student,14,0,,0.0, -Okay. So is the ratio just at point B? Like you can describe a ratio at point B or can you describe a ratio of the blue line,Tutor,28,4,0.0,,0.0 -"at all? I think if calculated, there can be a ratio of the entirety of the line.",Student,17,2,,1.0, -And what would that ratio be telling us about this situation?,Tutor,11,1,1.0,,1.0 -"How many hours it would have taken for the... Wait, I have to think about this real quick. Like how many hours it would be taking to get from Providence to Newark?",Student,32,0,,0.0, -I thought that just this axis was keeping track of how many hours. Is it also keeping track of a ratio or something? I'm trying to make sense of how all of that's connected.,Tutor,34,2,1.0,,0.0 -One sec. There might be a third factor to calculate with this graph. Say more about that. Like perhaps the speed at which the car is moving.,Student,27,1,,0.0, -Are we able to see the speed of the car in this?,Tutor,12,0,1.0,,0.0 -"No, we're not getting the speed.",Student,6,0,,, -Are we able to determine the speed of the car?,Tutor,10,0,1.0,,0.0 -Yes.,Student,1,0,,, -How would we do that?,Tutor,5,0,,,1.0 -"We do that by taking a look at how... Well, at the graph and how it shows us how much distance it's traveled over these four hours.",Student,27,2,,0.0, -"Okay. So as it is right now, do you see speed on the graph or are you saying we have enough information to figure out the speed, but it's not on the graph yet?",Tutor,34,2,1.0,,0.0 -We have enough information to figure it out.,Student,8,0,,0.0, -"Okay, cool. So now using the map and the graph, describe what's happening during each stage of the journey.",Tutor,19,1,0.0,,0.0 -"By each stage, you mean each hour?",Student,7,0,,, -"Yeah, each section of the journey. So from like A to B, B to C, and so on.",Tutor,18,0,1.0,,0.0 -"Okay. So in the first hour, the car drives 50 miles. And by point C, which is an hour and 30 minutes, the distance hasn't changed. So it can be inferred that it probably stopped. From C to D, D being two hours and 30 minutes, it drove another 50 miles. And then from D to E, yeah, E. It's another hour, making it three hours and 30 minutes. And that would be 140 miles. From E to F, it's... Wait, no, no, 130 miles from D to E. It's 130 total.",Student,92,2,,0.0, -So each of these points can tell us how much distance has passed and how much time has,Tutor,18,1,1.0,,0.0 -passed? Yes.,Student,2,0,,, -"So how come D to E has a bumpy line there, but C to D is a straight line?",Tutor,19,2,,,0.0 -"Well if you try to, I guess, say, if you try to proportion the graph in comparison to the image here, you can look at the general patterns in which the trail moves. So these bumps are probably once they're in New York City.",Student,44,1,,0.0, -Why would it be when they're in New York City?,Tutor,10,0,1.0,,1.0 -"Well, there are a few things. You can think about the landscape, for one. I mean, I live in New York City. I know there's a lot of turns. It's probably, it's also possibly more crowded, a lot more traffic to drive through. So I don't know, just a lot of things to take into consideration like those.",Student,58,0,,0.0, -"So specifically with what this graph is keeping track of, what's happening from D to E, and why would that be New York City?",Tutor,24,1,1.0,,1.0 -"What's happening is, it's not as per se smooth as the other areas. It's not, I suppose, as easy to drive through.",Student,22,1,,0.0, -"So like the roads have potholes in them, or there's more turns or things like that?",Tutor,16,0,1.0,,0.0 -"Yeah, more turns, most likely.",Student,5,0,,, -"Okay, cool. Let's now, you've started to think about where some of these points would be. Like you said, D to E is probably that section from New York City. So let's label. Where do you see the points on the map? Where do you estimate they would be, and why?",Tutor,51,1,0.0,,0.0 -"So I see this like ending straight area would be F. As shown on the graph, since it's right after the city, which we just kind of discussed that it would probably be E, well D to E.",Student,38,2,,1.0, -Okay.,None,1,0,,, -"So actually put like a dot, where do you think point F would be on the road? And leave your F there, yeah, so that we know that that's the label for that point, but where would you actually put that dot as well?",Tutor,44,0,,,1.0 -"Oh, okay. All right, so I'd end E like right here, and that would go to F, that's right here. And since it starts to get all bumpy at D, D would be right at this point.",Student,37,0,,0.0, -"And your prediction right now is it's bumpy on the graph because there's turns, potholes, something like that in New York City. Most likely.",Tutor,24,1,1.0,,0.0 -"Okay, cool.",None,2,0,,, -"And then, so the trickier part would probably be D to C, and from there to A. But I can take into consideration that there's like a stop right here in between B and C. So that stop would most likely be where there's what looks like an irrelevant marking. So I probably think that the stop in between B and C is like somewhere around here.",Student,67,0,,1.0, -"Okay, put your points, where do you think B would be, where would C be? And the cool thing is we're predicting right now. It's kind of like whenever you're writing a paper, and you write an outline or a rough draft, you're doing some rough draft thinking right now.",Tutor,50,1,1.0,,0.0 -"Yeah. I'm going to start from A right here, since A is zero, I can mark that at the starting point.",Student,21,0,,0.0, -"And go ahead and put A right next to that point too, so we can keep track of what those little slashes mean.",Tutor,23,0,1.0,,0.0 -"All right, and B and C are probably going to be, I'm actually saying in the midsection of these somewhere, which it's harder to tell because from A to like I-95, it's all curved compared to I-95 to New York City, which is straight. But somewhere halfway I think would be both B and C because they're both 50 miles away from the next point.",Student,65,0,,1.0, -Okay.,None,1,0,,, -So I'll probably put it like somewhere right there.,Student,9,0,,0.0, -"Okay, so you're thinking like this whole section is about 100 miles and both B and C are about 50, so it's like the midpoint of the trip?",Tutor,28,1,0.0,,1.0 -Yeah.,Student,1,0,,, -Okay. And you said both B and C are the same point?,Tutor,12,0,,,1.0 -"Yeah, since the distance doesn't change.",Student,6,1,,, -Okay. So the distance stays the same while the time is still increasing?,Tutor,13,1,1.0,,0.0 -Yep.,Student,1,0,,, -"Okay, so label up B and C.",Tutor,7,0,,,0.0 -"D and E, yeah.",None,4,0,,, -"And you started to say something about there's curvy lines here and straight lines here of the road, so I'm curious if this is the section that is A to B and it's got curves in it, but from A to B on the graph, it's a smooth line. Why?",Tutor,50,4,,,1.0 -"What's going on there? I'd have to generally... I can't think of the word. The only reason it goes as smooth as it does on the graph is because, like in comparison to how New York City works, is that I inferred that there are most likely a lot of turns and more general roadblocks than from A to B. Yeah.",Student,61,1,,0.0, -"So we're going to dig into that a little bit more, okay? All right. This is some really cool thinking that you're trying to make sense of right now. I'm going to type a few things here. You've been using these words some as well, and we're going to call these the purple power words. I want you to challenge yourself. These are going to be part of our purple power words, and so are these. And then you've also talked about another power word. I'm going to put down here purple, because I think purple power sounds cool. Okay? All right. Talk about speed as well. So we're going to look at just section A to B. And from A to B, describe what is happening using these purple power words.",Tutor,132,0,0.0,,0.0 -Okay. So there's a distance increases as well as the time.,Student,11,1,,0.0, -Can we say anything about speed?,Tutor,6,0,1.0,,1.0 -"Yeah, but I think speed really makes more sense when you're bringing A and B into comparison with other points.",Student,20,0,,1.0, -"So that means you're thinking that speed, just trying to make sure I understand this, that speed is something that can be calculated at a point, but we can't think about the speed of the car during a section of the journey?",Tutor,42,0,1.0,,1.0 -"Well, actually, actually, we can calculate the, yeah, we can calculate the speed in which the car moved from A to B being 50 miles per hour.",Student,27,0,,0.0, -"So you just added some stuff here. Okay, so this is in miles per hour. Okay. So speed is something that we can keep track of in units of miles per hour. And you think that from A to B, we can describe the speed of the car in miles per hour? Yes. And what is the speed of the car?",Tutor,61,1,1.0,,0.0 -50 miles per hour.,Student,4,0,,, -Does the car travel at the same speed the entire section of the journey from A to B?,Tutor,18,0,,,0.0 -"Well, that's, it can't, it's not something that can really be figured out, I suppose, because it's not, like the speed can vary, but it would have to, but the car would have to go a certain speed for it to be able to cover 50 miles in that hour.",Student,50,0,,1.0, -"Okay, so from.",Tutor,3,0,0.0,,0.0 -So there are points where it could.,Student,7,0,,, -"If the car was varying, if the speed of the car was varying, what would that look like on the graph?",Tutor,21,1,0.0,,1.0 -"Well, if it were varying, then it probably would have, I don't think, it wouldn't have changed on the graph because it still ended up covering the 50 in one hour.",Student,31,1,,1.0, -"So you're saying because the distance increased by 50 miles and the time increased by one hour, the speed of the car is 50 miles per hour?",Tutor,27,1,1.0,,1.0 -"Most likely, but it still could have varied. Wait, all right, I think I understand D and E now. I think it didn't vary because it's a straight line.",Student,29,1,,0.0, -So you're saying that we can see speed on this graph now? Yeah. Say more.,Tutor,15,1,0.0,,0.0 -"Well, if you look at, I'll show you most of D and E for a second because it really helps with the example, since it is New York City and we're still thinking about all the possible turns and whatnot in the city, the speed would actually have to vary, which is probably the cause of the graph's line ending up all bumpy and stuff here.",Student,66,2,,1.0, -"So we're going to do the same thing from D to E. This is really cool thinking you're doing here. Okay, so earlier, can you see what I typed up here in black? Yep. So you said from A to B, the distance increases and so does the time. Let's add more detail to that. Do you know how much the distance increased? You know how much the time increased? And what could you say about speed from A to B?",Tutor,81,3,1.0,,1.0 -The speed has stayed consistent at 50 miles per hour.,Student,10,0,,0.0, -"Okay. And you said you know from A to B, the car traveled at a constant rate or a constant speed of 50 miles an hour because it has this line. And this linear representation on a graph shows that this thing that's changing and this thing that's changing are changing together at the same rate. Yeah. Okay. And then you said, oh, wait, that means D to E. There's something more about D to E then. So I'm going to type what you say about D to E. Again, challenging you to use those purple power words. What's going on?",Tutor,101,3,1.0,,1.0 -"All right. So the speed both increases and decreases as it covers... I have to calculate the exact distance again. So as the car travels about another 40 miles, the speed varies. It increases and decreases through New York City.",Student,40,1,,0.0, -"Cool. And what does the distance do? Does the distance increase, decrease, or stay the same from D to E?",Tutor,20,2,1.0,,0.0 -Distance increases.,Student,2,1,,, -"As the distance increases by 40 miles. Yeah. And what about the time? Is the time increasing, decreasing, or staying the same?",Tutor,22,1,,,0.0 -The time increases as well by... Let's see. It goes from two hours and 30 to by an hour.,Student,19,0,,0.0, -"Okay. So could we... You said the speed increases and decreases, and that's what this line is showing. Would we be able to calculate the speed of the car from D to E?",Tutor,33,1,1.0,,0.0 -"I'm not sure we can. I mean, we can look at how much distance it covers. Actually, we can calculate it, but maybe not as one consistent speed, because you can calculate 30 miles in 40 minutes. I mean, wait, 30 miles in an hour. But since we do know that the speed changes, we can't get... I can't say that the measurement we get is consistent.",Student,67,2,,1.0, -"So would we be able to find the exact speed from D to E, or would it be the average speed?",Tutor,21,1,1.0,,0.0 -Average.,None,1,1,,, -Yeah.,Student,1,0,,, -"Yeah, you can find the average speed, and then you also recognize... But during that time, the car is increasing its speed and then decreasing its speed. And from A to B, the car is traveling at a consistent speed. So now I'm going to go back to my yellow circles. The outcome on the map, it's a curvy line from A to B, but on the graph, it's a straight line.",Tutor,72,5,,,0.0 -"Well, I believe that the curves could have... There's a very well possibility that the curves weren't really much of a problem at all, and that they were able to just keep going at that 50 miles per hour.",Student,39,0,,1.0, -"Yeah. So the math is keeping track of the actual path of the road. There's the actual turns the car is making, but the car is traveling. It's like they set the cruise control, and it's traveling at a set 50 miles an hour. Yeah. Is that possible in real life? Can a car travel a consistent rate or a constant rate of 50 miles an hour on a curvy road?",Tutor,71,0,1.0,,0.0 -I think so. I don't drive.,Student,6,0,,, -"Great connection. Like, I don't know. I haven't experienced it. Yeah, that's what cruise control is. You push a button on the car, or trains may do this, for example. The train track may not be a straight path, but they travel at a constant speed. That's possible.",Tutor,48,0,0.0,,0.0 -"Yeah. I mean, I believe it could do that at 50 miles per hour.",Student,14,0,,0.0, -"Yeah. And that's why here, even though it's a straight line, it's a relatively straight stretch of the road, the car still is traveling 50 miles an hour again. Or some constant speed.",Tutor,33,1,1.0,,0.0 -"You know what else? The constant speed changes in the city could also be for stoplights, because I assume from A to D and then E to F that it's just a whole bunch of highway, so there aren't really any stoplights or any reason to stop the car.",Student,49,1,,1.0, -"Right. Right, yeah. There's a great connection there. So D to E, yeah, it is New York City. Is it New York City because of its curvy roads and lots of turns, or is it New York City because of the stops and goes and the speed of the car?",Tutor,50,0,1.0,,0.0 -It's because of the stops and-,Student,6,0,,, -"Yeah. According to what this graph is keeping track of anyways, right? Because this graph is keeping track of the relationship of distance and time and how those things are changing together. So speed, if we look at this journey, did the car travel at the same speed the entire trip?",Tutor,51,3,1.0,,0.0 -No.,Student,1,0,,, -No. What can you say about how the speed changed throughout the trip?,Tutor,13,0,,,1.0 -The speed has changed in relation to the stops that were made.,Student,12,0,,0.0, -"So from A to B, what's the speed? What do you know about the speed of the car?",Tutor,18,0,1.0,,1.0 -That it stayed consistent because there wasn't a reason to stop.,Student,11,0,,0.0, -And what do you know about the speed of the car from B to C?,Tutor,15,0,0.0,,1.0 -That the car took a stop.,Student,6,0,,, -And what do you know about the speed of the car from C to D?,Tutor,15,0,1.0,,1.0 -That it went consistent again with the same speed as A to B and ultimately had to stop.,Student,18,0,,0.0, -And what do you know about the speed of the car from D to E?,Tutor,15,0,1.0,,1.0 -That the speed couldn't stay consistent because there were a lot of stops.,Student,13,0,,1.0, -And E to F? We haven't looked at that section yet. What do we know about the speed of the car there?,Tutor,22,0,1.0,,0.0 -"So E to F, it looks like it follows the same pattern as A to D, being that it's once again the freeway. So they're able to drive without problem. Because if you look at E to F, it also looks fairly consistent in speed, though there's not a lot of distance.",Student,52,1,,1.0, -"So the shape of the graph on the inside can tell us if the speed is constant or if it's varying. And you're saying E to F because it again is this smooth line that demonstrates a constant rate. Cool. So anytime you're looking at graphs, one axis will always tell us one thing that's changing and we can describe how it's changing. If it's increasing, decreasing, or staying the same. The other thing that's changing in the situation will be labeled on the other axis. And what's in the middle is describing the relationship of how these two things are changing together. So we can see speed on this graph. It's the blue line.",Tutor,115,7,1.0,,0.0 -Does that make sense? Yep.,None,5,0,,, -All right. Now you're going to make a prediction and sketch another graph.,Tutor,13,1,,,0.0 -"Okay. All right. So we'll use this angle for four hours. One, two.",Student,13,1,,0.0, -"Three, four.",None,2,0,,, -"Five, six, seven, eight, nine, 10.",Student,6,0,,, -"11, 12, 13, 14, 15. 16, 17, 18, 19, 20.",None,10,0,,, -"21, 22, 23, 24. 25, 26, 27, 28, 29, 30. 31, 32, 33, 34, 35.",Student,15,0,,0.0, -"36, 37, 38, 39.",None,4,0,,, -"40, 41, 42. What are those two dots?",Tutor,8,0,,,0.0 -They're the letters.,Student,3,0,,, -Okay. So is that one dot A?,Tutor,7,0,,,0.0 -"This one is dot A. After I plant the dots, I'm going to put the letters next to them.",Student,19,0,,0.0, -"Okay. Before you do that, I want you to explain to me from A to B what's going on with the speed from A to B.",Tutor,26,0,1.0,,1.0 -"Okay. So at A, the speed hasn't started moving at all. So it's just at zero. And then it starts to, as the time goes up, the speed does as well, reaching point B. So by the first hour, the car is at 50 miles per hour.",Student,47,0,,0.0, -"Okay, so you said by the first hour, the car is traveling 50 miles per hour. Earlier, you said from A to B, the car travels, the speed stays constant at 50 miles per hour. So from A to B, is the speed increasing gradually up to 50 miles per hour? Or is the speed of the car staying the same at 50 miles per hour that entire first hour of the trip?",Tutor,73,0,1.0,,0.0 -You know what? It's a lot more logical that it starts reaching 50 than just being at 50.,Student,18,0,,1.0, -"In like logical meaning, like in real life, because a car can't instantly be traveling 50 miles an hour? Yeah. All right, so let's pretend the car was already driving whenever it hit Providence. So it was already traveling. It's coming up from here, 50 miles an hour. And then it was already traveling when it started in Providence.",Tutor,59,0,1.0,,0.0 -Okay.,Student,1,0,,, -Then would it be logical?,Tutor,5,0,,,1.0 -"Well, point A start, well, for one, actually, point A on this graph starts at zero hours. Meaning Providence would probably be the starting point still. It also says that it hasn't traveled any distance yet. Oh, wait, wait, never mind. One sec. I think that if they had started driving before Providence, they may not have been driving at 50 miles per hour already, because at that point they hadn't reached 50 yet, had they?",Student,76,2,,0.0, -"They hadn't reached the distance of 50. But the car was, whenever you were looking at these lines earlier, you said, if it's a smooth line like this, that means the speed is constant, because the rate of change is constant in that section. So that means five minutes into the trip, the car is going 50 miles an hour, because they set the cruise control. 30 minutes into the trip, the car is going 50 miles an hour. It hasn't traveled 50 miles yet, but the speed of the car remains constant. Is that kind of hard to make sense of?",Tutor,102,3,1.0,,1.0 -I'm trying to make sense of it.,Student,7,0,,, -"Yeah, your brain is seeing that this starts right here, right? So something is zero. The time of the trip is zero, and the distance traveled is zero. But is speed zero?",Tutor,32,1,0.0,,0.0 -"I mean, the speed, it could either be 50 or zero, because they very well could have traveled 50 miles before getting to Providence.",Student,24,0,,1.0, -Let's take this point. How fast is the car going 30 minutes into the trip?,Tutor,15,0,1.0,,0.0 -"30 minutes, and they're going 25 miles per hour.",Student,9,0,,0.0, -How did you get that?,Tutor,5,0,0.0,,1.0 -"Well, 30 would be right along here, and where the line hits 30 is right in between zero and 50, which is 25.",Student,23,1,,0.0, -So they traveled 25 miles in 30 minutes?,Tutor,8,0,1.0,,1.0 -Yeah.,Student,1,0,,, -"And speed is in units of miles per hour. So that means I want to know, if I continue at this same rate, how far will I have traveled in one hour?",Tutor,32,1,,,0.0 -"Well, for that, you just multiply them both by two, which is still 50 per hour.",Student,16,1,,0.0, -"Ah, so even at this point, which is 30 minutes into the trip, I've only traveled 25 miles, but my speed is still 50 miles per hour. So this line here, because it is this straight line, that is demonstrating exactly what you said earlier. The speed stays consistent at 50 miles an hour. And that's five minutes into the trip, 30 minutes into the trip, 45 minutes into the trip. This entire section from A to B, the car is traveling 50 miles per hour. How could you show that on your graph?",Tutor,94,3,1.0,,1.0 -"Well, I can relocate point A to right here, so that it's still on zero in time, but it's at 50 miles per hour.",Student,24,0,,0.0, -Okay. Are we allowed to do that? Are we allowed to change our minds and edit in math? Yes. Yeah. That's what problem solving is. It's beautiful.,Tutor,27,0,0.0,,0.0 -"Okay. So it's A, there's B. Then from B to C, the speed goes to zero, but the distance, right? The time goes by three minutes. I think I'm moving a little too high. I'm going to change this one. Okay.",Student,41,1,,0.0, -"So I want you to stop for a second. I heard you saying this is point A, this is point B. Where is the line from A to B? Or is there one?",Tutor,33,1,1.0,,0.0 -"I mean, it would be going straight up.",Student,8,0,,1.0, -Yeah. Does that feel weird to draw it like that?,Tutor,10,0,0.0,,1.0 -"No, not really.",Student,3,0,,, -"Okay, cool. Draw. Okay. Where would B to C? Where's that line?",Tutor,12,1,,,0.0 -It goes.,Student,2,0,,, -So is this B or is this C or is this another point?,Tutor,13,0,,,0.0 -It's a C.,Student,3,0,,, -"Okay. So B to C, earlier you told me the car was stopped. If the car was stopped, how fast is the car going?",Tutor,24,0,,,0.0 -Zero miles per hour.,Student,4,0,,, -"Is it going zero miles per hour just at B, just at C, or this whole time from B to C?",Tutor,21,1,,,0.0 -The whole time.,Student,3,1,,, -"So that means even like an hour and 15 minutes, it's still zero miles per hour?",Tutor,16,0,,,1.0 -Yeah.,Student,1,0,,, -Okay. Right here? At an hour and 15 minutes? You told me the car is going 30-ish miles an hour.,Tutor,20,0,,,0.0 -"Oh, I'm confusing myself.",Student,4,0,,, -"It's so cool. Your brain is literally growing right now. That, wait, I'm confused. Huh? What? That's literally your brain making the connections between all of these different things that are changing in this situation. It's so cool.",Tutor,38,0,,,0.0 -"All right. So maybe rather than stop, they're just like coming to a stop? So that they're moving slower.",Student,19,0,,0.0, -"As much as I would, you're in such a cool spot right now, but unfortunately we are out of time.",Tutor,20,0,0.0,,0.0 -Wow.,Student,1,0,,, -"So we're going to stop right there. And if we were able to work on this tomorrow, this is exactly where we would pick up. So cool. Okay. So you know you are helping us test this platform and what it's like to learn in this way. So I would love to just hear a little bit about your experience. What do you feel like you learned or are thinking differently about now?",Tutor,73,0,,,1.0 -I actually really like it because it stimulated my brain a bit. It really made me think. It made me put logic into this whole example. And I found myself constantly changing how I was thinking about certain aspects.,Student,39,1,,0.0, -"And that process of constantly changing how you're thinking, that's literally learning. So cool. You were in that really deep state of learning. What do you think that you were thinking about differently?",Tutor,33,0,1.0,,1.0 -"As to how I was thinking differently, I was putting myself into somewhat different perspectives as I was trying to figure out how the speed worked. Like if I were in that car, how would I be moving throughout this trail?",Student,41,0,,0.0, -"Right. Yeah. So cool. So in any graph that you see, whether it's one you're reading or it's one you are creating, challenge yourself to think with these purple power words. What's the thing that's changing? How is it changing? And then what's this thing that's changing? How is it changing? And then how can I show or make sense of how those two things are changing in relationship to each other? Does that make sense?",Tutor,76,1,0.0,,0.0 -Yep.,Student,1,0,,, -All right. Cool. Is there anything that you think was helpful that we should keep doing or something that wasn't as helpful that maybe we should change to make it better?,Tutor,31,0,,,0.0 -"Something I think was really helpful was the patience and the time to let the tutory, I don't know how to call it, the person who's learning, to help them get a better understanding to try to sit there and take a second to see if they can figure it out on their own before they get the help.",Student,59,0,,0.0, -Beautiful. Yeah. Mucking around is so much fun. You did a really good job of being patient with yourself too and allowing yourself the time to think deeply. You're a very powerful mathematical thinker. Always allow yourself that time to make sense and wonder and try to make those connections. Okay?,Tutor,51,0,1.0,,0.0 -All right.,Student,2,0,,, -All right. Thank you so much for joining.,Tutor,8,0,,,0.0 -Thank you.,Student,2,0,,, -All right. Have a good night.,Tutor,6,0,,,0.0 -All right. You too.,Student,4,0,,, diff --git a/data/analyzers/4246.csv b/data/analyzers/4246.csv deleted file mode 100644 index 9a9aa17..0000000 --- a/data/analyzers/4246.csv +++ /dev/null @@ -1,45 +0,0 @@ -dialogue,Speaker,talktime,math_density,uptake,student_reasoning,focusing_questions -"Okay, do you see the tools on the left hand side of your screen, So we're going to practice using some of them. The third one down. That's a pencil. If you click up above, you'll see a color and size box that pops up if you want to change the color or size of anything that you are drawing.",Tutor,60,0,,,0.0 -And?,Student,1,0,,, -"Then there is a square with a t in it. That's if you would rather insert a textbox and type instead of draw. And then we're going to practice erasing this bottom tool. The trash can don't touch it, cause it will erase everything, And then we can't get your work back, but let's practice drawing something and then I'll show you how to erase it, so you can choose to either type or draw something. and when you click there you go, then perfect. Then if you want to erase what you drew, the top arrow is your select tool. so you select what it is that you want to erase, and then once it's selected, you hit the arrow or the this button down here. That's an arrow with an x in it and that will erase just that thing that's selected. so try to erase your hello. Okay, so are you able to use the top arrow to select it and see like those boxes around it that allows you to move?",Tutor,175,1,,,0.0 -Itct.,Student,1,0,,, -"So once it's selected like that, then there is a button down here that has an arrow with an x in the middle of it. If you click that there you go. Does that make sense? Okay? The other thing, you can minimize your chat box and make your screen bigger, Because we won't be using the chat. We'll just be talking back and forth like this. I will ask you lots of questions. Just because I ask you something doesn't mean that it's wrong or that I'm looking for a specific answer. I just want to know more about how you are thinking and then it's hard for me to see your, since I can't see your face if I ask you a question, And you want some more time to think. Just tell me that so that I don't interrupt your thinking, so, um, I'm not sure. Give me some time to think and then I will stop asking questions so that you can think deeply. Okay, all right, Do you have any questions before we start? I'm sorry, I can't hear you. Do you have any questions before we start? Okay, I'm going to change the screen. Do you see something different nowake?",Tutor,206,0,,,0.0 -A.,Student,1,0,,, -Minu to read it and thenen situationkath.,Tutor,7,0,,,0.0 -What?,Student,1,0,,, -Do you think is happening in this situation?,Tutor,8,0,,,1.0 -"A Crd journey craft in Providence to Ne. York City, It looks like the a little huddle in between them, like the New York.",Student,24,0,,0.0, -"So there's a car that's going to start driving in Providence, that'll drive down that road and then that puddle that you see there by New York City. That's just like.",Tutor,31,0,1.0,,0.0 -Representing.,Student,1,0,,, -"All of New York City, and then they'll keep driving. And where do they end up? Where do they start And where do they?",Tutor,24,0,,,0.0 -Ending.,Student,1,0,,, -"Place or they end up in the trip? Yeah, Providence is where they start, and then Newark is where they end. Cool. What are some things that we could measure in this situation? If we units would we use? So if we wereing to measure the distance between something and this trip, how could I measure that? What might I use? What was Adam? Sorry, I can't hear you. The chart. Okay, cool. What are some other things that we could measure in this situation? The what? Okay? So we could use a line graph somehow to keep track of something cool. All right, I am going to uncover something and you tell me how it's similar or different to what you were thinking about. Is this similar or different to things you were thinking about measuring which one similar or different. What was similar? Ah, yeah, so you were thinking about the distance that we could measure. This also has. I'm sorry, Go ahead, okay, so we can also keep track of the time and we would use ours to measure the timek.",Tutor,184,12,,,0.0 -If.,Student,1,0,,, -"You look at the map and the graph describe what's happening during each stage of the journey. A. are you using headphones or a tablet or just a computer? A computer? Do you know where your Mike is on the computer because I can barely hear you. So if you're able to scoop closer or talk closer to the mike, Okay, all right, So you said What's going on in the journey from A to Okay? So from A to F, something is going up happening from A to B. Any ideas? Okay? So from A to B, the miles are going up. What is happening with the time from A to B. Cool. I'm gonna type some words up here for you and hang on one second. All right and I challenge you to use these purple words to describe what's happening with these things that are changing in this situation. So we have distance that is changing somehow, and we have time that is changing somehow. So from A to B, What is happening with distance and time? challenging yourself to use these purple words? Yeah, be even cool. Be even more specific. What is increasing? Okay? is it what is happening with distance from A to B? Okay? So is distance increasing decreasing or staying the same? Ok? And even more specifically, you said it's increasing by fifty miles. Oay. I typed what I think you said Red It and see if you want me to change anything. Okay, where do you think points A and B would be located on the map? And you can use your drawing tools or your typing tools to label where you think point A should be and where point B should be located on the map. Yeah, if we look up here, the map shows a car journey from Providence, so that means Providence is where we're starting. Nice And actually, I'm going to make this a little bit bigger. Actually, use a dot and put a dot where you think point A would be and point B. You can either draw your own dot or you can use mine and pull it over on your end. Did you draw your dots on the map, like on the road or your? What was that? Yeah, Where do you think it would be located on the road? How did you decide to put B? Where you put it? Okay, What were you thinking about To calculate where you thought it would go? Okay? So you were trying to estimate about where fifty miles would be Okay. Cool, Keep going. Where do you think Point C would be locateds?",Tutor,447,6,,,1.0 -One and two hours next.,Student,5,0,,, -"Good job of explaining what you're thinking. Yeah, now over here. come over and put where do you think Point C would be and then locate it. I'm sorry. then label it now. same thing like we did for A to B In a complete sentence. Explain what's going on from B to C using these purple power words. What increased? Okay, what happened with the distance? So if the distance stayed the same and the time increased, what's happening with the car from B to C? Ah, so the car stopped? It's not moving at all. How long does go ahead? How long does the car stay stopped? Okay, Cool. Now, go back and look at the map. Point C. Does it show B to C doing the same thing that you just described? The time increased and the distance stayed the same.",Tutor,144,3,0.0,,1.0 -This is not the map is not by time. it's not by time.,Student,13,0,,0.0, -"A, what do you mean? Bby? That that's cool? Okay? So you want to revise your thinking? Such cool thinking you're doing there. Awesome. Yeah, do we get to change our mind and math? Can you revise your thinking Ya? Absolutely? So you said I think Se is here, And then you thought about it and said, Oh, never mind. I want to change my mind. cool. change it. That's cool. As long as you can tell that that's point C and point B. You're labeling it so you can keep track of your thinking. Nice. Okay, same thing, I'm going to ask you to keep labeling the points and then I'm going to ask you to justify your thinking about why you put the points where you did using these purple power words so you can either do d e or f next, whichever one you want. Oops, I'll move this one for you. This one. We're gon to keep covered up for a minuteo. All right, Are you trying to get a textbox If you want to use itlick on? Are you typing in the textboox right now? Was that I can' hear you. Which point are you going to label next? Put it where you think it needs to gol.",Tutor,213,0,0.0,,0.0 -You?,Student,1,0,,, -"Were typing also from C to D? The time is increasing Nice from C to D. the time is increasing. What's going on with a distance from Tod? I saw you with your arrow pointing to something over here. Were you trying to figure something out when you were doing that or were you just thinking I can, Yup.",Tutor,59,1,,,0.0 -"Yeah, See is right here, and I thinkt thestance was fift.",Student,11,0,,0.0, -"So, can you tell how much the distance increased from Se. to?",Tutor,12,1,0.0,,1.0 -D. hams.,Student,2,0,,, -"Okay, cool, and I can see how you were figuring that out by counting on the the lines of the graph. Nice by fifty. What? Okayw?",Tutor,26,2,,,0.0 -"Show fifty miles on, and once it goesup it goesp.",Student,10,0,,0.0, -F. nice explanation. What about time? Can you tell how much time is increasing from D to D? What are you thinking about?,Tutor,23,0,0.0,,1.0 -"I sea ha taken one and a half mile, one, one miundred, thirty one hour.",Student,15,0,,0.0, -"How so this is one hour and thirty minutes. Where are we at right now For time? So if Point D is at two hours and thirty minutes, and point C was at one hour and thirty minutes, how much time increased from C to D? One hour Quo. So you can label it up here from C to D. The time is increasing by some amount, and the distance is increasing by fifty miles. Give me some more room. Which one are you gonna work on now? I'm gona modle down here. Are you thinking about D to e or e to F? Okay, nice, I must scoot it up here so we can see it, So where would you want to put point?",Tutor,125,1,1.0,,0.0 -E is aby.,Student,3,0,,, -"Re, how come you're erasing them? Ah, so you want that to show more distance There? your first thought was too close. You think Now that you've thought about by how much it has increased, He? yeah, how come Ded E has this squiggly line? You think it may be a bumpy road? Is that what you said so? from D to E? you said that the distance increased by a total of thirty miles Is the distance increasing like smoothly like it was here? Or is what's going on? Ah, so from D to E, the car is slowing down and then speeding back up, and then slowing down and then speeding back up. And what's happening from C to D is the car slowing down or speeding up, or staying at the same speed? It's doing whatup?",Tutor,139,5,,,0.0 -Y.,Student,1,0,,, -"So the distance is definitely increasing from C to D, and the time is definitely increasing from C to D. But for some reason there's this smooth line here and D to E. distance is also increasing and time is also increasing, But it's a bumpy line, so how come it's a straight line or like a smooth line here, and a bumpy line heres.",Tutor,65,7,,,0.0 -Traffic.,Student,1,0,,, -"Ah, like cruise control. Yeah, so this blue line shows from A to B. the car is traveling like it's on cruise control. No traffic, nice and smooth, And then from B to C, What happens with the car? Does it slow down or does it completely stop? Yeah, it completely stops and then from C to D, it travels again nice and smooth like it has cruise control and then D to E. You're right. There might be some traffic that's causing it to stop and go, or speed up and slow down. So where on this journey does it make sense for the car to be and stop and go traffic? In? where on this map would it make sense for the car to be in traffic 'cause you said from D to E. the car must be in traffic or something like that, Cause it's speeding up and then slowing down?",Tutor,154,1,,,1.0 -I may be fied wy here.,Student,6,0,,, -"To so, yeah, A I, ninety five is the name of this entire in interstate. this entire road cool. So put, D. I'm sorry, put point E where you think it is, and then from E to F. is the car traveling at a nice smooth speed? Or is it in stop and go traffic? Okay, So does it make sense for the car to be able to travel smoothly through New York City or through New York City? Would it be and stop and go traffic? That's showing a squiggly line in New York City. That's like the actual shape of the road, but the graph is showing the relationship of how distance is changing and how time is changing, so it's showing how fast or slow the car is going. It's not actually showing the shape of the road. It's showin how fast the car is going. Do that make sense? So where do you think? That's a great question? The graph and the map are keeping track of two different things, So for right here, a tob shows a Kirby line, but A to B on the gra ainew.",Tutor,192,5,0.0,,0.0 -"How the hole had grow be on the grass, Cially, it, it is coming about the time list from ear Ea, on the grass on its traffic, so it shos the.",Student,31,0,,0.0, -"Mo, beautiful, Yes, the map is keeping track of the actual shape of the road, but the graph is keeping track of how distance and time are changing in relationship to each other. That was really cool. Thinking we are almost at a time. so we're going to stop for a minute whenever you see any graph. no matter what is labelled here or here. Challenge yourself to think about what is this thing and how is it Changing This axes will tell us if this thing is increasing, decreasing or staying the same. This axes will tell us if this thing is increasing, decreasing or staying the same, And then whatever is in the middle of the graph is telling us how these two things are changing in relationship to each other, So the relationship of miles to ours tells us how fast or how slow, or if the car is stopped or if it's going in this particular situation? Does that make sense? Yeahko, So you know that you are helping us test out this platform and this way of thinking about learning, so I'd love to hear from you. What was this experience like for you? Is there anything that you feel like you are thinking about differently now, or something that you learned?",Tutor,217,4,1.0,,0.0 -On butmberny.,Student,2,0,,, -"So it helped you start to think about how those things might be related and get ready for school. Yeah, yeah, and in fact, you're going to see a lot of graphs for the rest of your math and school career, and thinking about how a graph works and making sense of it with these purple power words will help you make sense of what's going on with the grapht, beyond just plotting points or or finding answers. Ok, Co, what was helpful for you or what do you think we should think about doing differently to make it better?",Tutor,100,2,,,0.0 -I ho the mat display every day.,Student,7,0,,, diff --git a/data/annotated_data.csv b/data/annotated_data.csv deleted file mode 100644 index f537f86..0000000 --- a/data/annotated_data.csv +++ /dev/null @@ -1,80 +0,0 @@ -Sentence,Speaker,talktime,student_reasoning,focusing_questions,uptake -"I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger and if so, if one is bigger, by how much. Why don’t you work with your partner and see what you can do.",T,54,,0.0, -"Try the purples. Get three purples. It doesn’t work, try the greens",[STUDENT_0],12,0.0,, -What was it? Two thirds?,[STUDENT_1],5,,, -It would be like brown or something like that.,[STUDENT_0],9,0.0,, -Ok,[STUDENT_1],1,,, -"We’re not doing the one third, we’re doing two thirds. That is one third",[STUDENT_0],14,0.0,, -First we’ve got to find out what a third of it is. What’s a third of an orange?,[STUDENT_1],18,0.0,, -One third?,[STUDENT_0],2,,, -"What’s third of an orange? Let’s start a different model. The green. The green, half of it is the light green",[STUDENT_1],21,0.0,, -"Alright, yeah, I was thinking of that way before",[STUDENT_0],9,0.0,, -"And you can take the take the red, and the light green, and put it up to it , it’s, she asked, is one half bigger than, what did she ask? What did she ask?",[STUDENT_1],35,0.0,, -"She asked, which is bigger, one half or two thirds?",[STUDENT_0],10,0.0,, -One half or two thirds? Now take six of the ones,[STUDENT_1],11,0.0,, -"Yeah, I know, and put ‘em up to there, and that would be one sixth. Hey, wait a minute, hey wait, maybe that’s it, yeah it’s bigger by one sixth",[STUDENT_0],30,0.0,, -Now take six of the ones Which is bigger?,T,9,,0.0,1.0 -One half ,[STUDENT_2],2,,, -I think one half is...,[STUDENT_0],5,,, -"Yes, [STUDENT_0] and [STUDENT_1]?",T,4,,0.0,0.0 -What do you have?,[STUDENT_0],4,,, -Well,[STUDENT_1] and [STUDENT_0],1,,, -we think,[STUDENT_0],2,,, -two thirds,[STUDENT_1],2,,, -is bigger than,[STUDENT_1] and [STUDENT_0],3,,, -You both agree?,T,3,,0.0, -one half by one sixth. Cause if you put six ones up to a whole,[STUDENT_1],15,1.0,, -dark green,[STUDENT_0],2,,, -If you put it up to a whole,[STUDENT_1],8,0.0,, -"I’m sorry, what’s the number name for dark green",T,9,,0.0,0.0 -One,[STUDENT_1] and [STUDENT_0],1,,, -Ok.,T,1,,0.0, -And you put six ones up to the dark green,[STUDENT_1],10,0.0,, -"Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?",T,20,,1.0,1.0 -One sixth,[STUDENT_1],2,,, -One sixth.,T,2,,0.0, -"And then these, this would be",[STUDENT_0],6,,, -"We’re calling them each sixths,",[STUDENT_1],5,,, -Ok,T,1,,0.0,0.0 -So there’s six sixths,[STUDENT_1],4,,, -"This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because",[STUDENT_0],23,1.0,, -Do you both agree with that?,T,6,,0.0,0.0 -"Yeah, mm hmm.",[STUDENT_1],3,,, -"Ok, could you write that up? Uh, let me get you some paper, I want you to write that up. And see if you can make me - if it works for other models because some students don’t believe that it works for other models and I think you two believe that it works for other models",T,57,,0.0, -"Mmm hmm, yeah",[STUDENT_1],3,,, -"So can you try to find some so that you can try to convince them that it should work for other models, and come up with a way of explaining it to the class, ok? That if it works, if you really believe it, that if it works for one it works for others, and then write this up, let me get you some paper.",T,65,,0.0, -"Seven, nine, ten, I need them. Go get another box.",[STUDENT_1],10,0.0,, -Ok I see you had your hands up over here?,T 2,10,,, -Yeah,[STUDENT_1],1,,, -Let me come around and see what you’re doing.,T 2,9,,, -We found two answers,[STUDENT_1],4,,, -"Well, I have three.",[STUDENT_0],4,,, -"You have two solutions... three. Ok, let me hear about one of these models. Here, which one do you want to tell me about?",T 2,24,,, -That one.,[STUDENT_1],2,,, -"Yeah, that's an interesting looking one, tell me about it.",T 2,10,,, -Now if you call this rod one...,[STUDENT_1],7,,, -The orange and red together?,T 2,5,,, -"Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...",[STUDENT_1],43,0.0,, -Can we go back to that one again?,T 2,8,,, -"I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.",[STUDENT_1],14,1.0,, -"How does that work? I'm confused about that. I’m confused about the little white rods, I am following you right up to that point.",T 2,24,,, -"If you put the white rods up to here, there's twelve of them, and then you call them twelfths, because there are twelve of them.",[STUDENT_1],25,0.0,, -"All right, okay.",T 2,3,,, -"And then you take the two thirds, and you take two twelfths, and then you put it up to the thirds and it is bigger by two tens... two twelfths.",[STUDENT_1],30,0.0,, -"By two twelfths, okay.",T 2,4,,, -If you use this model...,[STUDENT_1],5,,, -Uh hmm.,T 2,2,,, -And if you use this model,[STUDENT_1],6,,, -Uh hmm.,T 2,2,,, -"And you call these sixths, and you put this one up to it and it is bigger than one sixth.",[STUDENT_1],20,0.0,, -"Okay, so here it was bigger by two twelfths and here it was bigger by one sixth.",T 2,17,,, -Yeah.,[STUDENT_1],1,,, -That's interesting. Could we call the difference between the two thirds and the one half in this model another number name besides two twelfths?,T 2,24,,, -"Um, yeah, well, maybe...",[STUDENT_1],4,,, -"You said two of those little white ones were two twelfths, right?",T 2,12,,, -"Yeah, and maybe since two of these little white ones equals up to one of these or it's one fifth, oh, I mean one sixth, the reds",[STUDENT_1],27,1.0,, -"Oh, that's interesting, that's kind of interesting, then, so if you then used the reds to describe the difference, you could call this one sixth, the difference.",T 2,27,,, -Uh hmm.,[STUDENT_1],2,,, -And over here one of the whites you say is one sixth?,T 2,12,,, -Yeah.,[STUDENT_1],1,,, -"Oh, that’s interesting, two different models. 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b/docs/Makefile deleted file mode 100644 index d0c3cbf..0000000 --- a/docs/Makefile +++ /dev/null @@ -1,20 +0,0 @@ -# Minimal makefile for Sphinx documentation -# - -# You can set these variables from the command line, and also -# from the environment for the first two. -SPHINXOPTS ?= -SPHINXBUILD ?= sphinx-build -SOURCEDIR = source -BUILDDIR = build - -# Put it first so that "make" without argument is like "make help". -help: - @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) - -.PHONY: help Makefile - -# Catch-all target: route all unknown targets to Sphinx using the new -# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). -%: Makefile - @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/make.bat b/docs/make.bat deleted file mode 100644 index 6247f7e..0000000 --- a/docs/make.bat +++ /dev/null @@ -1,35 +0,0 @@ -@ECHO OFF - -pushd %~dp0 - -REM Command file for Sphinx documentation - -if "%SPHINXBUILD%" == "" ( - set SPHINXBUILD=sphinx-build -) -set SOURCEDIR=source -set BUILDDIR=build - -if "%1" == "" goto help - -%SPHINXBUILD% >NUL 2>NUL -if errorlevel 9009 ( - echo. - echo.The 'sphinx-build' command was not found. Make sure you have Sphinx - echo.installed, then set the SPHINXBUILD environment variable to point - echo.to the full path of the 'sphinx-build' executable. Alternatively you - echo.may add the Sphinx directory to PATH. - echo. - echo.If you don't have Sphinx installed, grab it from - echo.http://sphinx-doc.org/ - exit /b 1 -) - -%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% -goto end - -:help -%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% - -:end -popd diff --git a/docs/requirements.txt b/docs/requirements.txt deleted file mode 100644 index cfd660c..0000000 --- a/docs/requirements.txt +++ /dev/null @@ -1,8 +0,0 @@ -sphinx -sphinx-rtd-theme -sphinx-jinja -sphinxcontrib-bibtex -recommonmark -nbsphinx -pandoc -ipython \ No newline at end of file diff --git a/docs/source/analyzer.rst b/docs/source/analyzer.rst deleted file mode 100644 index ca7b8e8..0000000 --- a/docs/source/analyzer.rst +++ /dev/null @@ -1,41 +0,0 @@ -Analyzers -========= - - -This page contains the documentation for the analyzers module. -Our analyzers are designed to support the multi-faceted ways of analyzing language data in education. - -Qualitative Analyzer --------------------- - -.. autoclass:: edu_convokit.analyzers.QualitativeAnalyzer - :special-members: __init__ - :members: - -Quantitative Analyzer ---------------------- - -.. autoclass:: edu_convokit.analyzers.QuantitativeAnalyzer - :special-members: __init__ - :members: - -Lexical Analyzer ----------------- - -.. autoclass:: edu_convokit.analyzers.LexicalAnalyzer - :special-members: __init__ - :members: - -Temporal Analyzer ------------------ - -.. autoclass:: edu_convokit.analyzers.TemporalAnalyzer - :special-members: __init__ - :members: - -GPT Conversation Analyzer -------------------------- - -.. autoclass:: edu_convokit.analyzers.GPTConversationAnalyzer - :special-members: __init__ - :members: \ No newline at end of file diff --git a/docs/source/annotation.rst b/docs/source/annotation.rst deleted file mode 100644 index 06e01d0..0000000 --- a/docs/source/annotation.rst +++ /dev/null @@ -1,12 +0,0 @@ -Annotation -========== - -This page contains the documentation for the annotation module. -Our annotation module includes both traditional and recent neural methods for annotating text. - -Annotator ----------- - -.. autoclass:: edu_convokit.annotation.Annotator - :special-members: __init__ - :members: diff --git a/docs/source/conf.py b/docs/source/conf.py deleted file mode 100644 index 020df57..0000000 --- a/docs/source/conf.py +++ /dev/null @@ -1,41 +0,0 @@ -# Configuration file for the Sphinx documentation builder. - -# -- Path setup -import os -import sys -sys.path.insert(0, os.path.abspath('../..')) - -# -- Project information - -project = 'edu-convokit' -copyright = '2023, Rose E. Wang' -author = 'Rose E. Wang' - -release = '0.1' -version = '0.1.0' - -# -- General configuration -source_suffix = ['.rst', '.md'] - -extensions = [ - 'sphinx.ext.autodoc', - 'sphinx.ext.autosummary', - 'sphinx.ext.viewcode', - 'sphinx.ext.napoleon', - 'sphinx.ext.githubpages', - 'sphinx.ext.coverage', - 'nbsphinx', -] - -templates_path = ['_templates'] -exclude_patterns = [] - -# -- Options for HTML output - -html_theme = 'sphinx_rtd_theme' -html_static_path = [] - -# -- Options for EPUB output -epub_show_urls = 'footnote' - - diff --git a/docs/source/full_logo.png b/docs/source/full_logo.png deleted file mode 100644 index eb9180c8a4d13bf6600f7aea43917ce1a27ff20b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 11683 zcmYj%1yEhh(k<@pL4v!xyB^#jIKkcB9fDhM*8>E1Jp>C*a67m=!TsgR_rF`KW>?qD z?CR?7slBV$tQb{gSyUuKBnSuyRDhh6Is^pd`d?ca0q*bfn{Nf;-w9e9Nl8^ZNm)rJ zdnZ>7XHzo^adW4y7V5GR?EL(E5D;|9W+o=;a!ho;OtDN%eoZpcBe{C1M@Pr0n*{ZP 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  • Open In Colab Tutorial on Text Pre-Processing
  • -
  • Open In Colab Tutorial on Annotation
  • -
  • Open In Colab Tutorial on Analysis
  • - - - -**Datasets with edu-convokit** - -.. raw:: html - - - - -Contents --------- - -.. toctree:: - :maxdepth: 2 - :caption: Main Modules: - - preprocessing - annotation - analyzer - -.. toctree:: - :maxdepth: 2 - :caption: Tutorials: Basics of edu-convokit: - - tutorial_text_preprocessing - tutorial_annotation - tutorial_analyzers - -.. toctree:: - :maxdepth: 2 - :caption: Tutorials: Datasets with edu-convokit: - - tutorial_amber - tutorial_talkmoves - tutorial_ncte - -Citation --------- - -If you use the edu-convokit in your research, please cite the following paper: - -.. code-block:: latex - - TODO: coming soon... - -Contributing ------------- - -We welcome contributions to the edu-convokit! Feel free to make a pull request or submit an issue on GitHub: https://github.com/rosewang2008/edu-convokit. - -Contact -------- - -If you have any questions, please contact Rose E. Wang at rewang@cs.stanford.edu. \ No newline at end of file diff --git a/docs/source/preprocessing.rst b/docs/source/preprocessing.rst deleted file mode 100644 index 5e2e53c..0000000 --- a/docs/source/preprocessing.rst +++ /dev/null @@ -1,20 +0,0 @@ -Pre-Processing -================ - -This page contains the documentation for the pre-processing modules. -Currently, only text pre-processing is supported. -However in the future, we hope to additionally support audio and video pre-processing. - -Text Pre-Processing -------------------- - -.. autoclass:: edu_convokit.preprocessors.TextPreprocessor - :special-members: __init__ - :members: - -Token Pre-Processing --------------------- - -.. autoclass:: edu_convokit.preprocessors.TokenPreprocessor - :special-members: __init__ - :members: \ No newline at end of file diff --git a/docs/source/tutorial_amber.ipynb b/docs/source/tutorial_amber.ipynb deleted file mode 100644 index 9521b8a..0000000 --- a/docs/source/tutorial_amber.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"orrpsbmYU7pL"},"source":["# Tutorial on `edu-convokit` for the Amber dataset\n","\n","Welcome to the tutorial on `edu-convokit` for the [Amber dataset](https://github.com/laurenceholt/amber/tree/main). This tutorial will walk you through the process of using `edu-convokit` to pre-process, annotate and analyze the Amber dataset.\n","\n","If you are looking for a tutorial on the individual components of `edu-convokit`, please refer to the following tutorials to get started:\n","- [Text Pre-processing Colab](https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK)\n","- [Annotation Colab](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw)\n","- [Analysis Colab](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe)\n","\n","This tutorial will use all of the components!"]},{"cell_type":"markdown","metadata":{"id":"XvZ0-3nfU7pM"},"source":["## Installation\n","\n","Let's start by installing `edu-convokit` and importing the necessary modules.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26345,"status":"ok","timestamp":1703933148182,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"nGJhCqQYU7pN","outputId":"69afe5e0-9e09-441e-fe0b-ea39a207042a"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-repqq1x3\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-repqq1x3\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 2c36eabaf3d4dff1d8c1e89ae4f175ec80617f7e\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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(setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for emoji: filename=emoji-1.7.0-py3-none-any.whl size=171033 sha256=a5a47ae4916b773f7e0049304c63c50d066bee6292e0860693efecda135b802f\n"," Stored in directory: /root/.cache/pip/wheels/31/8a/8c/315c9e5d7773f74b33d5ed33f075b49c6eaeb7cedbb86e2cf8\n","Successfully built edu-convokit docopt emoji\n","Installing collected packages: emoji, docopt, num2words, ftfy, clean-text, edu-convokit\n","Successfully installed clean-text-0.6.0 docopt-0.6.2 edu-convokit-0.0.1 emoji-1.7.0 ftfy-6.1.3 num2words-0.5.10\n"]}],"source":["!pip install git+https://github.com/rosewang2008/edu-convokit.git\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":25557,"status":"ok","timestamp":1703933173736,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"lMFU9vJgU7pN","outputId":"3fec19d2-1f41-47cb-8f4b-f5ac3fcdc97e"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.\n","[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Unzipping corpora/stopwords.zip.\n"]}],"source":["from edu_convokit.preprocessors import TextPreprocessor\n","from edu_convokit.annotation import Annotator\n","from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer\n",")\n","# For helping us load data\n","from edu_convokit import utils\n","\n","import os\n","import tqdm"]},{"cell_type":"markdown","metadata":{"id":"XWo_LjzOU7pO"},"source":["## 📑 Data\n","\n","Let's download the dataset under `raw_data/`."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":793,"status":"ok","timestamp":1703933279655,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ORG_wOuDU7pO","outputId":"a1b8f1ff-e612-4511-817e-cf4a35664676"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:47:59-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/amber.zip\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 547335 (535K) [application/zip]\n","Saving to: ‘amber.zip’\n","\n","amber.zip 100%[===================>] 534.51K --.-KB/s in 0.04s \n","\n","2023-12-30 10:47:59 (11.9 MB/s) - ‘amber.zip’ saved [547335/547335]\n","\n"]}],"source":["# We will put the data here:\n","DATA_DIR = \"raw_data\"\n","!mkdir -p $DATA_DIR\n","\n","# We will put the annotated data here:\n","ANNOTATIONS_DIR = \"annotations\"\n","!mkdir -p $ANNOTATIONS_DIR\n","\n","# # Download the data\n","!wget \"https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/amber.zip\"\n","\n","# # Unzip the data\n","!unzip -n -q amber.zip -d $DATA_DIR\n","\n","# Data directory is then raw_data/amber\n","DATA_DIR = \"raw_data/amber\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"fouesc5MU7pO"},"outputs":[],"source":["# We'll set the important variables specific to this dataset. If you open one of the files, you'll see that the\n","# speaker and text columns are defined as:\n","TEXT_COLUMN = \"dialogue\"\n","SPEAKER_COLUMN = \"speaker\"\n","\n","# We will also define the annotation columns.\n","# For the purposes of this tutorial, we will only be using talktime, student_reasoning, and uptake.\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","UPTAKE_COLUMN = \"uptake\""]},{"cell_type":"markdown","metadata":{"id":"BQQHbS-9U7pO"},"source":["One thing that will be important is knowing how the teacher/tutor and student are represented in the dataset.\n","Let's load some examples and see how they are represented."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":101,"status":"ok","timestamp":1703933296967,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"c0hX2oMzU7pO","outputId":"87f64d4e-0147-419e-f5d8-b15e3f91a69f"},"outputs":[{"data":{"text/html":["\n","
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    startstopspeakerdialogue
    000:00.0000:06.00TutorAll right. Do you see the tools on the left-ha...
    100:06.0000:07.00StudentYes.
    200:07.0000:19.00TutorAll right. We're going to take a look at those...
    300:19.0000:31.00TutorSo the third button down is a pencil. If you c...
    400:31.0000:37.00TutorIf you want to type anything, you can use the ...
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    \n"],"text/plain":[" start stop speaker \\\n","0 00:00.00 00:06.00 Tutor \n","1 00:06.00 00:07.00 Student \n","2 00:07.00 00:19.00 Tutor \n","3 00:19.00 00:31.00 Tutor \n","4 00:31.00 00:37.00 Tutor \n","\n"," dialogue \n","0 All right. Do you see the tools on the left-ha... \n","1 Yes. \n","2 All right. We're going to take a look at those... \n","3 So the third button down is a pencil. If you c... \n","4 If you want to type anything, you can use the ... "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["files = os.listdir(DATA_DIR)\n","df = utils.load_data(os.path.join(DATA_DIR, files[0]))\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"prh3yYoCU7pO"},"source":["There are two speakers: one is the Tutor and the other is the Student.\n","Let's defined these variables as well."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"E7W9a3CdU7pO"},"outputs":[],"source":["STUDENT_SPEAKER = \"Student\"\n","TEACHER_SPEAKER = \"Tutor\""]},{"cell_type":"markdown","metadata":{"id":"200oT0QiU7pO"},"source":["## 📝 Text Pre-Processing and Annotation\n","\n","Let's first preprocess and annotate the dataset with `edu-convokit`. The following section will:\n","- Read each file in the dataset and preprocess it using `edu-convokit`'s `Preprocessor`.\n","- Then, annotate the file using `edu-convokit`'s `Annotator` for talktime, student reasoning and uptake.\n","- Finally, save the annotated file under `annotations/`.\n","\n","Let's get started!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["45fd1cdada9d4d568705fbaf1612f939","dff440afab09496386fca52de5cbf34d","6da68abc32024478b5271b461a45b0fd","d576b0f94f024ed9bdcb3a6ce4b6663f","fe2147cbb0104396bf1ca5bf3452a12b","3a345e70e21e473eadaf739e4ae6b6b2","76f612e8ceab4b249cbe3d1f252ec369","271efe0640a44a1ba245587bfbba7692","04302cacb6684c17b50fe628c9ada270","897f04cd16d14c0d8eed2d81a576ada1","3946c5555dce41fa849fe259889c7f5f","914099aa0aa2476ba99aef207dcc87e2","ffa4fcc9b8f2402aa6ecaf5439f6b988","810b8494f3554b92add1962b9e0277d4","9012a0b775a94faf9bd42257afcefad2","f90f765994454e25ad17e939049fa537","3370d1a72dad44d393ed8dbde15c0c6c","dc02af86a5754b51b18333aeff2a9803","7ae0887ae28d405e8b262ea670ea0185","9e6d4ad1012c4d7695f35d57281ea134","280c4aa8f738404cb1a99bc82a698d44","a310b77349844fdb9d1153091b2abccc","56393c2e58a449d7ab9c33c954b9197c","1b2e3e334af74d1a90dee0550c0f49a7","6ef85bd5b1ea4518890aea4391a702bf","0b288cb28cf74814ba5030d50bbc50fc","fa7e4cebe69845038bca5ae22ee514a8","6f6065f32dc74fef8b4c4e5c46e0ad58","3e0ddab423dd45b086bd121648f7d1d4","4d59944421d7456093fe04e4ebdc9281","03d242cea8904ca98401b4607197d67e","ad12defb83b247309129539f705b495f","cfef93ca7e7341d485c90fc3624e715d","7071b4d8b1a746f495dac399fcc6da02","4c234675926f48a5a26ac32809ab350e","6bca29edd8264e2bbc13811edd03cab9","a5896952b31747db99cd54786717cb10","1b347d51dae4407297e31cea2088c392","d077dd7cbacf4c01a814223c658d8207","4015bfb07670428baa7d1db1568f3b56","7f3e7aedda5f41faac9461c2c1d8a7ab","a38b337ed10a47b9b10abce3c82edb28","caeb491a36d54ca68efeec655bfe0971","3885e5f66b144f1087e5f61abfc2a6a3","8c575a73b7eb45739f06f14483370cd3","f6da7df34ee54288b02c6edc5ce8b355","729a92b0f2234ce497bf838d54657886","bcc80f4c7bf04d3c8662f281dbf9f8e6","7d05998550c447bba5aa09492f3523d2","cbd33cf9dae4418fa9fff03a783ec0e2","c2e76a2427804fb58f15e42487d4dbbc","c17edee81c6a41dfa12d9b8848ab17fd","d8809e84c7974536b1dbffe68cf4cdf9","add8754b6e534dc89d515a55bc64db4b","c6e6e29c298045fcb3a529d45dbbaa0d","649731e6f8a14d3a88c87c4741bccb89","0a4ff4ddaeeb4662ad53b7bbcd057ce0","38e4018a517f4368acb6f2d7ccff2eae","df6c1244aa4a43b9b6b5f4e3bfe2c58a","817b1d4046be4f8bab1ae3e6a3fac3dc","e655e7eef8514aa4886f31ad4aa99bfd","1bb8cb44b8b44974a557136728e2f920","af6259f2bca94016a9a0c906e1bba360","3a16603d01f3412aa06cf6b124d1ca6b","7af1122cbff641309c8a61f077d7e518","22f6061d882345c5914663f103b03b73","8aec33102c7d45458c087cff753618f7","f3423c392b60483e872c04c50ceb86b7","afe29d084c7849f58809b4fd1bcc7bd4","297dc3850b624721834e0a386cb5ed56","a402c2fdd233436db2795675077ca37b","12ccf60c027e462c958c8e0ebd5bfa46","634d1a160b0d44cd82f3d5ff025e3352","296fefe8cf3348088a7babdf8543d08b","6dea0d0a0a944a7fb62e4b476a592f21","80c9d8a91b904ca1ae55cd787d5f8bcd","657b93f272164e2588e7ed54deae2f00","77ac6e33ffdb448786500cac30e6c3b0","8147990c12b54912a02d466a9bddff0d","742a01e56a3d45ed9f1694f93655c6d4","ec1e34cf30c24ac78e1377f0e2b594a4","865f76923ce04f09800c9b474c520346","f378b38788364ca8847415ec566edc9e","192ec391928b48a489e7471bad35f39a","9a0bff32cd364149ae7c093e535d9ce5","661de037bf0343e49aa7a4f13186e33e","24691c46ac6d443aa5a6024fdfb6ca03","946a4e9939f54707b32be63e5042fa31","d41cd34ba50342278ffac687a0687806","e99afdc2c09348c19dd684f558cc3790","f7e59d3dfa2e4ba691c03c08291cac23","1d2141194a38429680fda1e38ec5475d","d2de477e20604f0eaa4201aa71a22496","1e8b5fc36f3f48bfad14d6b59191ba10","e3afba5c26044be98bc826bff19137ac","d8263580dc7c479c96208a32a61bf527","8018b4a1fc304d239f167ee5f3fdfdc9","ab0a48cdad0141d088dfaf14b98283fb","b5d7599700854dc786dfaf876cf34fa7","40452e5455464dcb81a6e0030cc05aa5","47d03aad1c6a4014b31ebfd1d2d112a6","63da77eedfec41779d693fc0ba315965","b67a73f9e2384b7589f4f5faa857000b","33efd1f5d7b7430e8cb2ba722b2bfb0f","2fb7b46f9f724f41b2c49d83c526857c","bc2716b115294c309db2355cc4539d4c","7283def6c3f14e5d9da63b6fc77c1532","37f87284163a44e696b4b5c3c46fb4d4","eb0ed2b1e22e4f539342b5e19f9b8423","14830f784b3440299964789d018559e1","2ae2534ed1464fbcb0f828d84a766702","9fdcee3740aa474f9375a2ca4bc014b2","dc8f63ad95034948b07537d4ac7f0f40","0ac300cad88949a8a1a884ee84af78cf","14ab4c6e2a5241ab996422463ec7020d","42f3646288e341aea39bb428b9c283f7","ef4c18f206624ff9a1d53c6c43883739","cdad23d9f384499ba5324ff4d32687d3","690f6f16aad34ddd87de595a362dd4df","c366e73ec2624a2fa488178ede0e795f","9b751b67808445cf94d6e6ceb1767ded"]},"executionInfo":{"elapsed":1142478,"status":"ok","timestamp":1703934444592,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"QwDwCJEMU7pO","outputId":"60be2b4b-0b39-4f7f-8bd6-bcf5a986e3f7"},"outputs":[{"name":"stderr","output_type":"stream","text":["\r 0%| | 0/45 [00:00> Tutor: Okay, we're going to be talking back and forth like this, so you can close your chat box if you would like, and that'll open up your screen so you have more work space.\n","\n","talktime: 34\n",">> Tutor: So I understand what you're thinking. Don't worry about changing those dots. What is? where are you? Though, most likely that's causing you to be in stop and go traffic from D to E.\n","\n","talktime: 34\n",">> Tutor: We're going to look at just those three sections, A to b, B to c, C to D, and just those three sections of the graph. I'd like you to sketch a new graph.\n","\n","talktime: 1\n",">> Student: Then.\n","\n","talktime: 1\n",">> Student: At.\n","\n","talktime: 1\n",">> Student: But\n","\n","talktime: 11\n",">> Tutor: On the lefthand side of your screen, you see some tools.\n","\n","talktime: 11\n",">> Student: The distance by hour, like how far they're moving per hour.\n","\n","talktime: 11\n",">> Tutor: Is that point a a break? Is that what you just?\n","\n"]}],"source":["# We're going to look at examples from the entire dataset.\n","qualitative_analyzer = QualitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Examples of talktime. Will show random examples from the dataset.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TALK_TIME_COLUMN,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":113,"status":"ok","timestamp":1703934560717,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"6cPvJpRlU7pP","outputId":"939c1d0d-a27d-47c0-c63e-fa5da90479cf"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> Student: Um, maybe like they're measuring how far or how long it would take to get from Providence to Newark.\n","\n","student_reasoning: 1.0\n",">> Student: Uh, it's similar'cause the two different units I was talking about miles and hours and they're measuring the distance.\n","\n","student_reasoning: 1.0\n",">> Student: I'll just say A lo, Um, from A to B. it's increasing, and from B to C. it's staying the same from C to D. It's increasing from Dt. it's increasing.\n","\n"]}],"source":["# Examples of student reasoning. Let's look at positive examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703934561100,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"UZHe7HaRU7pP","outputId":"7772f8f0-acbf-4519-a52e-dff6b1f8d5a5"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n",">> Student: Um, how many miles per hour the car is driving?\n","\n","student_reasoning: 0.0\n",">> Student: The distance by hour, like how far they're moving per hour.\n","\n","student_reasoning: 0.0\n",">> Student: Uh, the mileage I think, is it? Ah, I do't.\n","\n"]}],"source":["# We can also look at negative examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=0.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":151,"status":"ok","timestamp":1703934562146,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"v57F3ljGU7pP","outputId":"2b19ff97-a424-4ed4-db8a-4f7dd9bc3865"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","Student: Um, maybe like they're measuring how far or how long it would take to get from Providence to Newark.\n",">> Tutor: Cool if they're measuring how far or how long what units would they be using to?\n","\n","uptake: 1.0\n","Student: Um, how many miles per hour the car is driving?\n",">> Tutor: Wo mile per hour be keeping track of.\n","\n","uptake: 1.0\n","Student: The distance by hour, like how far they're moving per hour.\n",">> Tutor: Ah, and do you know how else we can describe that? What's that thing that we're talking about with the car? if we're describing how far per hour it's going?\n","\n"]}],"source":["# Examples of uptake.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," # I want to look at positive examples of uptake (uptake = 1.0)\n"," feature_value=1.0,\n"," # ... and look at the previous student utterance (show_k_previous_lines = 1).\n"," # This is interesting because it will show us how the teacher is responding to the student's utterance.\n"," show_k_previous_lines=1,\n",")"]},{"cell_type":"markdown","metadata":{"id":"ofu3QH2MU7pP"},"source":["## 📊 Quantitative Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":616},"executionInfo":{"elapsed":983,"status":"ok","timestamp":1703934564429,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"UkqO4dmnU7pP","outputId":"4595a62a-c0af-4dd5-8d1d-4c1bb8fcfd0d"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","None 2.0 0.014643 0.012308 0.005940 0.010291 0.014643 0.018995 0.023346\n","Student 44.0 0.304822 0.213351 0.009091 0.159112 0.272535 0.367901 0.955194\n","Tutor 45.0 0.701301 0.215427 0.044806 0.631480 0.727766 0.840467 1.000000\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer = QuantitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's plot the talk time ratio between the speakers.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":747},"executionInfo":{"elapsed":941,"status":"ok","timestamp":1703934566294,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"hzLvzhHyU7pP","outputId":"b9925a5d-e14e-4a76-e824-0dd73e8e9a2a"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["student_reasoning\n","\n","Average statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","None 0.0 NaN NaN NaN NaN NaN NaN NaN\n","Student 38.0 0.154413 0.114317 0.0 0.056493 0.158859 0.238824 0.388889\n","Tutor 0.0 NaN NaN NaN NaN NaN NaN NaN\n","\n","\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# What about the student reasoning? How often does the student use reasoning?\n","quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We change this to \"avg\" because we're now looking at within-speaker statistics.\n"," value_as=\"avg\",\n"," # We can set the y-axis limits to [0, 1] because the student reasoning column is a binary column.\n"," yrange=(0, 1)\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"wD__EVCMU7pP"},"source":["Note, the tutor has no `student_reasoning` because we did not annotate the tutor's utterances for student reasoning.\n","We can easily remove the tutor from the plot by dropping na values:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":713},"executionInfo":{"elapsed":526,"status":"ok","timestamp":1703934568763,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"xop-U7CCU7pP","outputId":"d7786cd8-2132-4062-e4ac-354af6517101"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":539},"executionInfo":{"elapsed":603,"status":"ok","timestamp":1703934570319,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"7hFL7VpbU7pP","outputId":"ba98b1b3-12aa-455c-ca8f-221da59725f5"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAHCCAYAAAAKFAY/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA/GElEQVR4nO3deVyVZf7/8fcBZBMwV0CLcAlwKbUURNNSy63JcsmWSZ1c+rbYZM3YSGqLudbkNzKNNC11qnFJzUlb1W8/NRUX0mlSkVxwx6SUHTncvz86nOkEItycwzno6/l49Hh0ruu6r+tz7IG8u+/rvm+LYRiGAAAAIC93FwAAAOApCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGw8PhitXLlSHTp00Pjx4yt9bEFBgV5//XV1795d8fHxuvvuu7V8+XIXVAkAAK4EPu4u4FIyMjL0wgsvKDU1VVlZWZU+3mq16oknntCPP/6ohQsXqlmzZtqwYYP+/Oc/KyMjQ08++aQLqgYAADWZx54xevrppxUTE6MFCxaYOv6TTz7R5s2b9de//lXNmjWTJPXo0UODBw/W3LlzlZ6e7sxyAQDAFcBjg9GsWbM0duxY1apVy9Txy5Ytk4+Pj3r27OnQ3rt3bxUVFenjjz92RpkAAOAK4rHBKDw83PSxBQUF2rt3ryIiIhQQEODQFx0dLUlKTk6uUn0AAODK47F7jKoiPT1dVqtVjRo1KtVXr1491apVS0ePHq30vEVFRTp//rz8/Pzk5eWxmRIAAPxGcXGxCgoKVKdOHfn4lB99rshgVLJZ+/dni0r4+/vrwoULlZ73/PnzOnLkSFVKAwAAbhIZGan69euXO+aKDEau4ufnJ0mKiIiQv7+/m6sBAAAVkZ+fr/T0dPvv8fJckcEoODhYkpSXl1dmf35+vkJCQio9b8nls9q1ayswMNB8gQAAoNp4e3tLUoW2wVyRG2UiIiLk7e2tjIyMUn2ZmZm6ePGirr/+ejdUBgAAPNkVGYz8/Px00003KT09vdRZowMHDkiSYmNj3VEaAADwYFdEMDp9+rQMw3BoGzJkiIqKirR+/XqH9i+++EI+Pj4aOHBgdZYIAABqgBofjObPn6/bbrtNU6ZMcWi/55571KVLF73++us6dOiQJGnjxo1asWKFnnjiCS6lAQCAUjx28/WHH36oOXPmyGq1SpLWrVunTZs2KSAgQF9//bV9XMOGDRUYGKjQ0FCH4729vfX2229r9uzZGjFihAoKClS/fn29+OKLuu+++6r1uwAAgJrBYvz+GhQuKTc3V/v27VPLli25Kw0AgBqiMr+/a/ylNAAAAGchGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADY+Li7AOBqZrVadfjwYRUUFLi7lKue1WpVZmam6tWrJ29vb3eXA0l+fn5q2rQp/z1QrQhGgJtcvHhR48ePV2pqqrtLATxWVFSUZsyYoVq1arm7FFwluJQGuMmZM2cIRcBlpKam6syZM+4uA1cRghHgJqGhoYqKinJ3GYBHi4qKUmhoqLvLwFWES2mAm9SqVUuvvvoqe4w8wJEjR5SUlGT//NhjjykyMtJ9BUESe4zgHgQjwI28vb3VokULd5eB34mMjFTr1q3dXQYAN+BSGgAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABg4+PuAsqzc+dOJSYmKi0tTV5eXurUqZPGjRunsLCwCh3/448/au7cuUpJSVFeXp6Cg4PVuXNnPfHEE2rUqJGLqwcAADWNx54x2rZtm4YPH6727dtr06ZN+uyzz3T+/HkNGTJEZ8+evezxBw4c0KBBg3Tw4EEtWrRIW7du1ZtvvqmNGzdq4MCBOnfuXDV8CwAAUJN4ZDAqKirSpEmTFBERobFjx8rHx0chISGaOnWqfvrpJ82aNeuycyxevFh5eXl69tlndd1110mSYmJiNHr0aJ09e1bLly939dcAAAA1jEcGo+3btys9PV29evWSl9d/SwwNDVW7du20du1a5eTklDvHmTNnJMkeikqUfD516pSTqwYAADWdRwaj5ORkSVJ0dHSpvpiYGBUUFGjPnj3lzhEVFSVJOnz4sEP7kSNHJEnNmzd3QqUAAOBK4pGbr0vCTFkbpEvajhw5os6dO19yjtGjR2vLli2aNWuWIiIi1KJFC+3Zs0fz58/XjTfeqCFDhpiuz2q1ymq1mj4egGcpLi4u9ZmfceDKUZmfZ48MRtnZ2ZIkf3//Un0lbVlZWeXOUbduXb3//vuaMmWK7r77btWqVUtWq1WDBw9WQkJCmXNXVGpqquljAXieo0ePOnw+ePCgCgsL3VQNAHfyyGDkDAcPHtT//M//qH79+lq7dq2aNWumQ4cOKSEhQQ8++KDmzp2rJk2amJo7KipKgYGBTq4YgLv4+vo6fL7hhhvUqlUrN1UDwNlyc3MrfFLDI4NRUFCQJCk/P79UX0lbcHBwuXNMmjRJp06d0qJFi+wbrlu0aKFZs2apV69emjhxot577z1T9Xl7e8vb29vUsQA8z29v8ij5zM84cOWozM+zR26+btq0qSQpIyOjVF9JW2Rk5CWPz83N1XfffaewsLAy70oLDw/Xtm3bygxeAADg6uWRwSg2NlbSrw9p/L0DBw7Iz89Pbdu2veTx+fn5MgxDFoulzH4vLy8VFxcrNzfXOQUDAIArgkcGo7i4OEVEROjLL790uFvkzJkzSklJ0V133aXatWvb2zMyMlRUVGT/XK9ePTVp0kSnTp0q9byi06dP6+TJk2rcuLHq1avn+i8DAABqDI8MRj4+Ppo8ebLS09OVmJgoq9WqrKwsTZgwQQ0aNNAzzzxjH7tu3Tp17dpVY8aMcZhj3LhxMgxDzz33nD0cnTp1SuPGjVNxcbHGjRtXrd8JAAB4Po/cfC1J8fHxWrRokRITE3XrrbfKYrGoU6dOWrp0qcPzjerWraugoCCFh4c7HN+3b1/Vq1dPCxYs0L333qvi4mJ5eXnppptu0nvvvaf4+Pjq/koAAMDDeWwwkqQOHTpoyZIl5Y6Jj4/Xrl27yuyLi4tTXFycK0oDAABXII+8lAYAAOAOBCMAAACbKl9Ku3Dhgr744gt9//33yszM1OzZs3X06FGdPXtWHTp0cEaNAAAA1aJKweiTTz7RK6+8opycHIfnBp0+fVrDhw/XoEGDNHXqVKcUCgAA4GqmL6Vt3bpV48ePV506dTRixAhNmDDB3hcXF6fly5fr22+/1YoVK5xSKAAAgKuZDkbz58/XwIED9dVXX2ncuHEaOnSoQ/+NN96oF154QcuWLatykQAAANXBdDD6/vvvNXbs2FIvX/yt2NhYHT161OwSAAAA1cp0MCooKFBQUFC5Y7Kzs1VYWGh2CQAAgGplOhg1bdpUK1euLHfM2rVr1axZM7NLAAAAVCvTd6UNGDBA06ZN0/fff6/BgwcrOjpakmS1WnXy5EmtXLlSCxYsUEJCgtOKBQAAcCXTwejhhx/Wtm3btGrVKq1evdrefuONN8owDEnSnXfeqQceeKDKRQIAAFQH08HI29tbc+fO1T/+8Q999NFHOnTokCTJMAzdcMMNevDBB/Xggw/an20EAADg6ar0gEeLxaKhQ4dq6NChysnJUXZ2tkJCQhQQEOCs+gAAAKqN6c3Xv718Jkm1a9dWaGhoqVDUsmVLs0sAAABUK9PBqCKbqn/88Uf7fiMAAABPZzoYGYahgwcPXrL//fff16BBg9hjBAAAagzTwUiSRo4cqR9//NGh7dixY3r44Yc1c+ZMBQYGVqk4AACA6lSlYDRx4kSNGDHCfkfahx9+qHvuuUc7d+7UHXfcoU8//ZRLaQAAoMYwfVfa9OnT1atXLxUVFWnEiBGKjIzUtm3bFBwcrBkzZujee++VJK1fv95ZtQIAALhUlZ58LUn9+vVTUVGRxo8fr/bt22vWrFkKDw+3j9uxY4eaNGlS9UoBAABcrEqX0kr0799f06ZN0+nTp3Xx4kWHPl4JAgAAaooKnzEaNmzYZcfk5ubqgQceUIsWLapUFAAAgDtUOBglJydXeNLfjuV2fQAAUFNUao/R/v37K71ATExMpY8BAABwhwrvMYqPjze1QMkmbQAAAE9X4WD03nvvmVrgqaeeMnUcAABAdXPKXWnl6dmzp6uXAAAAcArTzzEq8cMPP2j37t06f/48T7kGAAA1mulgVFRUpL/+9a/64osvZBiGLBaLQzDibjQAAFDTmA5GCxYs0NatW5WQkKAbbrhBjzzyiBYvXixJys/P165du7R48WI9//zzTisWAADAlUwHozVr1mjy5Mnq3bu3pF/PEMXGxtr7u3XrpsjISG3evFn33Xdf1SsFAABwMdObr48fP67OnTvbP5e1v+jOO+/Utm3bzC4BAABQrUwHo4CAAId9RPXr19eJEyccxvzyyy/Kzs42Xx0AAEA1Mh2Mrr/+en311VcOn+fOnSur1SpJKiws1GuvvabGjRtXvUoAAIBqYHqPUdeuXfXiiy/q+PHjeuqpp3T//ffrb3/7m7755hs1adJER48e1fnz5/XnP//ZmfUCAAC4jOlgdN999ykwMFD16tWTJPXv3187d+7U8uXL9dNPP0mSevfurZEjRzqnUgAAABczHYxCQ0M1YsQI+2eLxaJXXnlFY8aM0cmTJxUeHq6wsDCnFAkAAFAdnP5KkNDQULVv317JycnauXOns6cHAABwGdPBqGXLluX2L1u2TEOHDlVSUpLZJQAAAKqV6WB0ufei/eMf/9CCBQv0z3/+0+wSAAAA1cp0MKrIu9Bat26t8+fPm10CAACgWlV48/XXX3+t9evXO7Q9//zzlzxzVFhYqO+//17NmjWrWoUAAADVpMLBaP/+/Vq1apX9s8Vi0cqVK8s95vrrr9ekSZPMVwcAAFCNKhyMhg8frgEDBkj6dX/RHXfcUeoMUgmLxaKQkBAFBQU5p0oAAIBqUOFgFBwcrODgYPvnjh07qkmTJi4pCgAAwB1Mb75esmSJM+sAAABwO9NPvi5RUFCgb775Rvv27VNWVpaCg4PVqlUr3XbbbfL19XVGjXCinJwcHTlyxN1lAB7l9z8T/IwAZYuMjFTt2rXdXYZLVSkYffnll3rppZf0888/S/p171HJbfz169fXyy+/rJ49e1a9SjjNkSNHNH78eHeXAXg0HkwLlG3GjBlq3bq1u8twKdPB6P/9v/+nsWPHytfXV926dVPTpk0VEBCgvLw8HTp0SMnJyfrzn/+sefPmqUuXLs6sGQAAwCVMB6M5c+bolltuUWJiourVq1eq/9y5c3r66af15ptvEowAAECNYDoY7d+/X2vWrCkzFEm/XkqbMmWK7rnnHtPFwfX8Qm+Rl/817i4DcDvDKJZRlCeLT4AsFqe/XxuokYrzf1HBmV3uLqNamQ5G/v7+aty4cbljGjdurMDAQLNLoBp4+V8jn8CG7i4DAOCBitxdgBuY/t+iDh06aPv27eWOSU5O1q233urQlpCQYHZJAAAAlzIdjP7617/q1Vdf1erVq1VQUODQl5+fr5UrV2revHml7oBavXq12SUBAABcyvSltFGjRik7O1sJCQlKSEjQNddco8DAQOXm5uqXX36R9Os+oyFDhjirVgAAAJcyHYxOnDihxo0bOzzoyTAMBQQEKCAgwKENAACgJqjSAx43bNhQ6WNiYmKqsiQAAIDLmN5jNGDAgGo9DgAAwNVMB6Pp06dX63EAAACuVuWXyF7OzTffrN27d5s6dufOnUpMTFRaWpq8vLzUqVMnjRs3TmFhYRWeIzU1VW+//ba+++475ebmys/PT61atdKoUaPUoUMHU3UBAIArk+lgtGPHjsuOMQxDeXl5pubftm2bRo4cqZEjR+q9995Tbm6unn32WQ0ZMkQff/yxGja8/EMJv/nmGz377LOaNGmSXnvtNfn4+Oibb77RmDFjdPPNNxOMAACAA9PBaOjQobJYLM6sxa6oqEiTJk1SRESExo4dKy8vL4WEhGjq1Knq3r27Zs2addlLcpmZmRo3bpyefPJJ3Xvvvfb22267TcOGDatQsAIAAFeXKl1Ke/LJJ0u15eXl6fTp09q8ebNatWqlW265pdLzbt++Xenp6Xrsscfk5fXfbVChoaFq166d1q5dq4kTJzo8KuD3/vnPfyo7O1uDBg0q1Tdu3LhK1wQAAK58VQpGY8aMuWRfQUGBxo8fr5tvvrnS8yYnJ0uSoqOjS/XFxMRo165d2rNnjzp37nzJOb7++mtdd911qlOnTqXXBwAAVyfTwWjr1q3l9vv5+enZZ5/VM888U26AKcvhw4clSY0aNSrVV9J25MiRS85rtVp18OBBtWvXTlu3btW8efOUmpoqb29vtWvXTk888USVnqdktVpltVpNH+9OxcXF7i4BAFBDFRcX18jff5Wp2XQwqlu37mXHBAcH6+DBg5WeOzs7W5Lk7+9fqq+kLSsr65LHX7hwQYWFhUpNTdX48eP16quv6pZbblF6errGjRunIUOG6P333zd1Nkv69U63muro0aPuLgEAUEMdPHhQhYWF7i7DpVx2u75hGFqwYIFCQkJctcQllbzU9pdfftHMmTMVFxcnSWrWrJleffVV3XXXXZoyZYpWrlxpav6oqCgFBgY6rd7q5Ovr6+4SAAA11A033KBWrVq5u4xKy83NrfBJDdPBaNiwYZfsy8vLU3p6ui5cuKBHH3200nMHBQVJkvLz80v1lbQFBwdf8vjfnmmKj4936GvevLmaNGmi//znP8rMzFS9evUqXZ+3t7e8vb0rfZwn+O1mdgAAKsPLy6tG/v6rTM2mg1HJBumy+Pv76/rrr9fo0aM1YsSISs/dtGlTSVJGRkapvpK2yMjISx5fp04d1a5dWzk5OWVe8mvQoIGOHz9uOhgBAIArU5Uupe3fv99ZdTiIjY1VUlKSDhw4oH79+jn0HThwQH5+fmrbtu0lj7dYLGrfvr02b96sc+fOKTw83KE/MzNTkghFAADAQbW/RLYi4uLiFBERoS+//NLhLqozZ84oJSVFd911l8MzjDIyMlRUVOQwx8CBAyVJmzdvdmhPT0/X8ePH1a5dO4IRAABwUO0vkZWknj17ltvv4+OjyZMnKz09XYmJibJarcrKytKECRPUoEEDPfPMM/ax69atU9euXUs9U6lfv37q3r27EhMTlZKSIunXYDV+/HgFBATohRdeMF0/AAC4Mrn8JbJlOXHixGXHxMfHa9GiRUpMTNStt94qi8WiTp06aenSpQ7PN6pbt66CgoJKXS6zWCx68803NW/ePD333HP65Zdf5OPjo/j4eE2ZMkXNmjVz+vcCAAA1m1uCUUXfsdahQwctWbKk3DHx8fHatWtXmX2+vr4aM2ZMuU/oBgAAKMG92wAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsHFLMDIMwx3LAgAAlMv0c4xKnl7dvXt3TZw4sVLHrl+/3uyyAAAALmP6jNGJEyfUvn17DRo0qNLHNmnSxOyyAAAALmP6jFFAQIAmT56swMBAZ9YDAADgNqbPGEVHR+vMmTOXHZeQkGB2CQAAgGplOhg99dRTmj59uvLz88sdt3r1arNLAAAAVCvTl9JSUlJUWFio2267TV27dlV4eLj8/PycWRsAAEC1Mh2M3nrrLfu/f/rpp5ccZ7FYzC4BAABQrUwHI0lavHhxuf2GYehPf/pTVZYAAACoNqaDka+vr2JjYy87Ljw83OwSAAAA1cr05uu9e/dWaNyGDRvMLgEAAFCtnPZKkJ9++kn79+931nQAAADVrkrBKD8/X2+88Yb9zrSBAwdKkjZv3qw//elPSk1NdUqRAAAA1cF0MMrOztYDDzygpKQknTlzRiEhIfaXw7Zo0UL+/v4aOnSojh496rRiAQAAXMl0MEpKSlJGRoamTp2qlJQUbd++3d4XFhampKQk9enTR0lJSU4pFAAAwNVMB6OvvvpKr776qgYNGqSAgIAyx4wePVo7duwwXRwAAEB1Mn27/qlTpxQXF1fumPr16ysjI8PsEqgG1vxf3F0CAMBDXY2/I0wHo6CgIKWnp6t58+aXHJOamqqQkBCzS8AFioqKHD4XntnlpkoAADXN73+HXIlMX0qLi4tTQkKCjh07VmZ/VlaWpk2bps6dO5suDs73888/u7sEAEANdTX8DjF9xmjMmDEaPHiw+vTpo9jYWMXExEiSEhMTdeLECW3YsEGGYWjmzJlOKxZVV7duXXeXAACooa6G3yGmg1Hz5s31zjvv6C9/+Yu2bt2qrVu3Svr1bjXDMBQWFqbXX39dkZGRzqoVTuDj4/if3Df0Fnn7X+OeYgAAHs2a/4vDlovf/w65ElXpG8bGxmr9+vVav3699u7dq+zsbAUHB6tt27bq3r27fH19nVUnXMTb/xr5BDZ0dxkAAHiEKkc/X19f9e3bV3379i2z/6233tKYMWOqugwAAIDLmd583bNnzwqNmzNnjtklAAAAqpXpYHTixIly+7OzszV+/Hiz0wMAAFS7Kr1E9uWXXy6z/dtvv9Xdd9+t1atXV2V6AACAalWlYJSWlqYpU6bYP+fl5emll17SyJEjdfbsWfYWAQCAGsX05uvGjRvrnXfe0ciRIzV9+nTdcccdev7553Xs2DE1b95cr776qlq3bn3ZS24AAACewvQZow0bNigwMFDz58/Xd999p2HDhun48eMaPny4Vq1apdatW0uSpk+f7rRiAQAAXKlKl9KkX9+ZtmDBArVq1Up33nmnEhISHJ5fVNG71wAAANytwpfSduzYUW7/448/rokTJ9ovq5U4efKk+eoAAACqUYWD0dChQ2WxWModYxiGFi1apMWLF1e5MAAAgOpWqc3XTz75ZKUmNwxDc+fOrdQxAAAA7lKpYGTm9nuefA0AAGqKCm++/uCDD0wtsH79elPHAQAAVLcKB6NbbrnF1AJvvfWWqeMAAACqW5Vv178cXgsCAABqCtNPvpakH374QbNnz9bu3bt14cIFZ9UEAADgFqaD0Q8//KAHH3xQQUFBuuGGG7Rz50517NhRklRQUKC0tDTl5eWpQ4cOTisWAADAlUwHozlz5qhHjx76+9//Lm9vb7Vs2VJLliyx958/f17PPvssT74GAAA1huk9Rrt379bTTz8tb2/vMvvr1KmjCRMmaNmyZaaLAwAAqE6mg1FOTo4aN25s/+zr66ucnByHMWFhYTp8+LD56gAAAKqR6WAUFhamY8eO2T+Hh4dr586dDmO2bNmiwMBA89UBAABUI9PBqE2bNpo6dap++uknSVJsbKwmTJigDz74QJs2bdK7776rCRMmqE2bNk4rFgAAwJVMB6N+/fopJSVFTz31lCRp9OjRysvL05QpU/Too4/q73//u/Ly8jR27Fhn1QoAAOBSpu9Ku+OOO5SSkmL/fN1112nZsmV6//33dfLkSYWHh+uhhx5Sq1atnFIoAACAq1XpAY+/17x5c73yyivOnBIAAKDaOO2VID/99JP279/vrOkAAACqXZXOGOXn5yspKUmrVq1SRkaGLBaLfvjhB23evFnvvvuunn/+eUVFRTmrVrhAcf4vKnJ3EYAHMIxiGUV5svgEyGJx+WskgRqhOP8Xd5dQ7UwHo+zsbD388MP2s0R16tSxvy+tRYsW8vf319ChQ7Vs2TJdf/31zqkWTldwZpe7SwAAwGOY/t+ipKQkZWRkaOrUqUpJSdH27dvtfWFhYUpKSlKfPn2UlJTklEIBAABczXQw+uqrr/Tqq69q0KBBCggIKHPM6NGjtWPHDtPFAQAAVCfTl9JOnTqluLi4csfUr19fGRkZZpeAC0RGRmrGjBnuLgPwKEeOHHE4u/3YY48pMjLSfQUBHupq+LkwHYyCgoKUnp6u5s2bX3JMamqqQkJCzC6hnTt3KjExUWlpafLy8lKnTp00btw4hYWFVXqu77//XkOGDFFYWJg2bNhguqaarnbt2mrdurW7ywA8WmRkJD8nwFXK9KW0uLg4JSQkOLwv7beysrI0bdo0de7c2dT827Zt0/Dhw9W+fXtt2rRJn332mc6fP68hQ4bo7NmzlZrr4sWLev7552W1Wk3VAgAArg6mzxiNGTNGgwcPVp8+fRQbG6uYmBhJUmJiok6cOKENGzbIMAzNnDmz0nMXFRVp0qRJioiI0NixY+Xl5aWQkBBNnTpV3bt316xZszR9+vQKzzdv3jwFBgYqPDy80rUAAICrh+kzRs2bN9c777yjevXqaevWrXrvvfdkGIaSkpK0Zs0aBQUFad68eaauR27fvl3p6enq1auXvLz+W2JoaKjatWuntWvXKicnp0JzpaWlaeHChZo6darDXAAAAL9XpQc8xsbGav369Vq/fr327t2r7OxsBQcHq23bturevbt8fX1NzZucnCxJio6OLtUXExOjXbt2ac+ePZe9TFdcXKznn39eo0aNKncvFAAAgOSEd6X5+vqqb9++6tu3rzPqkSQdPnxYktSoUaNSfSVtR44cuWwwWrRokQoKCjR69Gin1SZJVquV/UrAFaS4uLjUZ37GgStHZX6enfIS2czMTB04cEDZ2dkKCgpSTEyM6tata3q+7OxsSZK/v3+pvpK2rKyscudIT0/X7NmztXjxYvn4OPVduUpNTXXqfADc6+jRow6fDx48qMLCQjdVA8CdqpQYjh07pilTpmjTpk0yDMPe7uXlpdtuu00JCQm67rrrqlxkZRmGoQkTJuihhx5SmzZtnD5/VFSUAgMDnT4vAPf4/WX/G264Qa1atXJTNQCcLTc3t8InNUwHo8OHD+uhhx7Szz//rKCgIEVERCggIEB5eXk6evSoNmzYoD179ujDDz+s9LvSgoKCJP36ktrfK2kLDg6+5PFLly5VRkaGnnrqqUqtW1He3t7y9vZ2ydwAqt/vb8zw8vLiZxy4glTm59l0MHrttdfk6+urpKQkdevWzeEvluLiYv3f//2fXn75Zb322mt66623KjV306ZNJanMp2aXtJV3t9v69ev1888/q0ePHg7tmZmZkqQuXbpIkp5++mkNGTKkUrUBAIArl+lgtH37diUlJaljx46l+ry8vNSjRw8FBQXpiSeeqPTcsbGxSkpK0oEDB9SvXz+HvgMHDsjPz09t27a95PHz588vs70kKF3NT74GAACXZvrBPsXFxWrXrl25Y9q3b1/qbo+KiIuLU0REhL788kuH48+cOaOUlBTdddddql27tr09IyNDRUVFlV4HAADgt0wHo+jo6FJ3cvzekSNHdNNNNzm0rV69+rJz+/j4aPLkyUpPT1diYqKsVquysrI0YcIENWjQQM8884x97Lp169S1a1eNGTPG1PcAAAAoYToYPf7445o0adIl35V27NgxTZ06VX/5y18c2hMSEio0f3x8vBYtWqTdu3fr1ltvVe/evRUSEqKlS5c6PN+obt26CgoKuuTrPgoLC9WlSxd16dJFp06d0qlTp+yfuR0XAAD8luk9Rp9//rkyMzPVp08ftW7dWuHh4QoMDFRubq5OnTql//znP7rxxhv14Ycfmi6uQ4cOWrJkSblj4uPjtWvXrkv2+/r6asuWLaZrAAAAVw/TwWjVqlX2f9+7d6/27t1basx3332n7777zqHNYrGYXRIAAMClqvSAx/Xr11dqvGEYuvPOO6uyJAAAgMuYDkaNGzdWkyZNKn3cpfYCAQAAuJvpzddmnwXEM4QAAICncu7bVfXr3WgbN26Uv7+/+vTpo5CQEGcvAQAA4BKmg9HOnTv1t7/9TZL0j3/8Q+Hh4dq7d6+GDRumgoICGYahuXPnavny5WrYsKHTCgYAAHAV05fS1qxZI39/f02ZMkWhoaGSpGnTpik/P1+DBg3S+PHj5eXlpXfffddpxQIAALiS6TNGKSkpmjZtmv2dZT/++KO+++47de3aVVOmTJEktWrVSi+88EKFH+oIAADgTqbPGB0/flwtW7a0f/7yyy9lsVh0//3329tuuukmnTlzpmoVAgAAVBPTwSgoKEjnzp2zf16zZo1q166tbt262dsKCgoUEBBQtQoBAACqielg1KZNG73++utKS0vT7NmzdeTIEfXr10++vr72Md98840aN27slEIBAABczfQeo8cee0x//OMftXbtWhmGoaCgID366KOSpBMnTuijjz7SBx98oBEjRjitWAAAAFcyHYzatm2rpUuXas2aNfLy8tLgwYN17bXXSpLOnz+vc+fOqU+fPrr33nudVSsAAIBLVekBj61bt1br1q1Ltbdq1UrTp0+/5HE7duxQx44dq7I0AACA05neY1QVw4YNc8eyAAAA5XJLMDIMwx3LAgAAlMstwchisbhjWQAAgHK5JRgBAAB4IoIRAACADcEIAADAhmAEAABgQzACAACw4XZ9AAAAG7cEI556DQAAPJHpYJSQkGB60SVLlpg+FgAAwFVMB6PVq1c7sQwAAAD3M/0SWcMw1LNnz8uOq1WrlsLCwtS9e3c9+OCD8vX1NbskAACAS5kORo0bN1Z2drbOnz8vSapTp45q166tnJwce1uDBg1UVFSknTt3atu2bfr000+1ePFiBQQEOKd6AAAAJzJ9KW3hwoVq2LChXnnlFe3evVvbt2/Xhg0btH37du3evVuTJ09W06ZNtWrVKu3du1fvvPOOzp49q3feeceZ9QMAADiN6WD0+uuv67nnntN9992nwMBAh77AwEANGTJEo0aN0syZM+Xl5aXbbrtNkyZN0hdffFHlogEAAFzBdDBKTk5WfHx8uWPi4+O1adMm++eOHTvqxIkTZpcEAABwKdPBKD8/X6dPny53zOnTp5WTk2P/7O3tLT8/P7NLAgAAuJTpYBQdHa0XX3xR2dnZZfZnZWXppZdeUkxMjL0tOTlZjRo1MrskAACAS5m+K+2xxx7Tk08+qdtvv11dunRR06ZNFRgYqNzcXB06dEjffvutcnNzlZSUJElavny5Xn/9dfXu3dtpxQMAADiT6WDUo0cPzZw5U5MnT9YXX3whi8Vi7zMMQyEhIXrttdfUrVs3SdKxY8fUvXt33XfffVWvGgAAwAVMByNJ6t+/v3r06KH169dr3759ys7OVnBwsFq1aqUePXqodu3a9rHPPvtslYsFAABwJdPBaMeOHerYsaOCgoJ0zz336J577nFmXQAAANXO9ObrYcOGObMOAAAAtzMdjAzD0O2336433nhD6enpzqwJAADALUwHI0maNm2ajh07pv79++vhhx/WqlWrlJeX56zaAAAAqpXpPUYDBgxQ586d1blzZ2VlZelf//qXPvzwQ73yyivq06ePBg4cqA4dOjizVgAAAJcyfcZo+vTp9n8PDg7WQw89pOXLl2vp0qWqU6eOxo4dq969e/PSWAAAUGNU6VJaWYqKilRYWKiLFy/q6NGjeuONN5y9BAAAgEuYvpQ2bNgwLV68WJJ04cIFrVmzRitXrtS+fftkGIaCgoI0ZMgQDRw40GnFAgAAuJLpYJScnKwtW7ZoxYoV2rBhgwoLCyVJcXFxGjhwoHr16iV/f3+nFQoAAOBqVXry9ahRo2QYhpo0aaIBAwZowIABatKkibNqA654VqtVhw8fVkFBgbtLuaodOXKk3M9wDz8/PzVt2lTe3t7uLgVXkSoFo7vvvlsDBw5Up06dnFUPcNW4ePGixo8fr9TUVHeXgt8pefk13C8qKkozZsxQrVq13F0KrhJVCkavvvqqs+oArjpnzpwhFAGXkZqaqjNnzujaa691dym4Spi+K23//v0VGrd69WqzSwBXtNDQUEVFRbm7DMCjRUVFKTQ01N1l4CpiMQzDcOUCLVu21L59+1y5RLXJzc3Vvn371LJlSwUGBrq7HFwB2GPkOaxWqzIzM1WvXj32tHgI9hjBWSrz+7tKl9JycnK0fPly7d69W+fPn5eLMxZwxfH29laLFi3cXQYAwMZ0MMrMzNSDDz6oo0ePSpIsFkuZwchisZivDgAAoBqZ3mOUmJiogIAAffLJJ/rhhx9kGIb279+v/fv3a8+ePVqwYIGuu+46LVy40Jn1AgAAuIzpYLRp0ya9+OKLio6OlpeXl8OZIT8/P3Xp0kVTp07lXWkAAKDGMB2MMjIy1KpVq/9O5OWlixcvOoy56aab9P3335uvDgAAoBqZDkb169fXhQsX7J9DQ0OVlpbmMCY1NZUN2QAAoMYwHYxatGjhsH8oOjpaL7/8sg4ePKjCwkLt3btXkyZNUrNmzZxSKAAAgKuZvivtjjvu0Msvv6xDhw7pnXfe0ciRIzV06FD179/fYdzrr79e5SIBAACqg+lgNGDAAN14440KCAiQJHXo0EEzZ87UnDlzdOLECTVu3FjDhw9Xv379nFYsAACAK7n8yddVsXPnTiUmJiotLU1eXl7q1KmTxo0bp7CwsMsee/DgQf3zn//Upk2bdP78eVmtVkVHR+vhhx9W3759TdXDk68BAKh5KvP72/QeI1fbtm2bhg8frvbt22vTpk367LPPdP78eQ0ZMkRnz54t99hz587pD3/4g1JSUvT2229r+/bt2rhxo66//nqNHTtWc+bMqaZvAQAAahKPDEZFRUWaNGmSIiIiNHbsWPn4+CgkJERTp07VTz/9pFmzZpV7fHFxsSRp2rRpat68uSQpODhYL7/8ssLDw/X2228rMzPT5d8DAADULB4ZjLZv36709HT16tVLXl7/LTE0NFTt2rXT2rVrlZOTc8njAwMDNWbMGMXExDi016pVS23atNHFixf1ww8/uKx+AABQM3lkMEpOTpb06yMAfi8mJkYFBQXas2fPJY+vXbu2nnrqqTL7ioqKJEl16tRxQqUAAOBKYvquNFc6fPiwJKlRo0al+krajhw5os6dO1dqXqvVqu+//17XXXedWrdubbo+q9Uqq9Vq+ngAAFB9KvM72yODUXZ2tiTJ39+/VF9JW1ZWVqXn/fzzz3X27Fm9+eabDpfoKis1NdX0sQAAwHN5ZDByhXPnzmn69Ol64IEH1Lt37yrNFRUVxe36AADUELm5uRU+qeGRwSgoKEiSlJ+fX6qvpC04OLjC8+Xm5urRRx9VmzZt9MILL1S5Pm9vb3l7e1d5HgAA4HqV+Z3tkZuvmzZtKknKyMgo1VfSFhkZWaG58vPz9dhjj+maa65RYmIigQYAAFySRwaj2NhYSdKBAwdK9R04cEB+fn5q27btZecpLCzUk08+KYvFojlz5sjPz0+SdPz4cf3888/OLRoAANR4HhmM4uLiFBERoS+//NL+sEZJOnPmjFJSUnTXXXepdu3a9vaMjAz7bfglCgsL9dRTT6mwsFBJSUkOG7nfeustbdy40fVfBAAA1CgeGYx8fHw0efJkpaenKzExUVarVVlZWZowYYIaNGigZ555xj523bp16tq1q8aMGWNvKyoq0rPPPqvNmzerTZs2evfddzV79mz7P/v27XPH1wIAAB7OIzdfS1J8fLwWLVqkxMRE3XrrrbJYLOrUqZOWLl3q8HyjunXrKigoSOHh4fa2gwcP6quvvpIkLVy4sNprBwAANZPFMAzD3UXUFJV5Oy8AAPAMlfn97ZGX0gAAANyBYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjABAUnJyskaMGKHk5GR3lwLAjQhGAK56+fn5mjt3rs6ePau5c+cqPz/f3SUBcBOCEYCr3ooVK3Tu3DlJ0rlz57RixQo3VwTAXQhGAK5qJ0+e1PLlyx3ali9frpMnT7qpIgDuRDACcNUyDENJSUkqLi52aC8uLlZSUpIMw3BTZQDchWAE4Kp1/PhxpaSklNmXkpKi48ePV3NFANyNYATgqtWkSRMFBweX2RccHKwmTZpUc0UA3I1gBOCqdeLECWVlZZXZl5WVpRMnTlRzRQDcjWAE4Kp17bXXqn379rJYLA7tFotFN998s6699lo3VQbAXQhGAK5aFotFjz32mLy8HP8q9PLy0mOPPVYqMAG48hGMAFzVGjdurMGDB9tDkMVi0eDBgxUeHu7mygC4A8EIwFVv8ODBqlevniSpXr16Gjx4sJsrAuAuBCMAVz1/f3898cQTatiwoZ544gn5+/u7uyQAbuLj7gIAwBPExsYqNjbW3WUAcDPOGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADY+Li7gPLs3LlTiYmJSktLk5eXlzp16qRx48YpLCysQscXFxdr4cKFWr58uS5cuKCQkBANHjxYI0eOlJcXmRAAADjy2HSwbds2DR8+XO3bt9emTZv02Wef6fz58xoyZIjOnj1boTkmTpyopKQkzZgxQ1u3btXMmTM1b948TZw40cXVA6hpkpOTNWLECCUnJ7u7FABu5JHBqKioSJMmTVJERITGjh0rHx8fhYSEaOrUqfrpp580a9asy86xfft2ffzxxxo9erTat28vSWrXrp0effRRffzxx9qxY4ervwaAGiI/P19z587V2bNnNXfuXOXn57u7JABu4pHBaPv27UpPT1evXr0cLnmFhoaqXbt2Wrt2rXJycsqdY9myZZKk3r17O7SXfF66dKmTqwZQU61YsUKZmZmSpMzMTK1YscLNFQFwF48MRiWnsqOjo0v1xcTEqKCgQHv27LnsHP7+/rr++usd2iMiIhQYGMjpcgCSpJMnT2rFihUyDEOSZBiGVqxYoZMnT7q5MgDu4JGbrw8fPixJatSoUam+krYjR46oc+fOZR6fm5urjIwMXXfddbJYLGXOceTIEeXl5SkgIKDCdRUXF0uScnJyZLVaK3wcAM9kGIY++ugjhYaG2oORJFksFn300UcaPXp0mX+HAKhZSi6Pl/weL49HBqPs7GxJkr+/f6m+krasrKxLHl/Sd6nQ89s5KhOMCgoKJEnp6ekVPgaAZ7v99tt1++23l9l38ODB6i0GgEsVFBQoKCio3DEeGYw8VZ06dRQZGSk/Pz9u9wcAoIYoLi5WQUGB6tSpc9mxHhmMStJcWXeGlLQFBwdf8viSvry8vDL7KzJHWXx8fFS/fv1KHQMAANzvcmeKSnjkaY+mTZtKkjIyMkr1lbRFRkZe8vjAwEA1atRIP/30k8O+gd/OERoaWqnLaAAA4MrnkcEoNjZWknTgwIFSfQcOHJCfn5/atm172Tny8vJ09OhRh/Zjx44pNzfXvgYAAEAJjwxGcXFxioiI0Jdffumwg/zMmTNKSUnRXXfdpdq1a9vbMzIyVFRU5DDHkCFDJElffPGFQ/vnn3/u0A8AAFDCI4ORj4+PJk+erPT0dCUmJspqtSorK0sTJkxQgwYN9Mwzz9jHrlu3Tl27dtWYMWMc5oiLi9OgQYM0f/58paSkSJL27NmjefPmadCgQZwxAgAApXjk5mtJio+P16JFi5SYmKhbb71VFotFnTp10tKlSx2eb1S3bl0FBQUpPDy81ByvvPKKmjZtqr/97W/KyspSUFCQRo8erZEjR1bnVwEAADWExShrdzIAAMBVyCMvpQEAALgDwQgAAMCGYAQAAGDjsZuvAeC3evTooezsbNWqVcvelpmZqeLiYjVo0MDeZrVa9fPPP5f5HDQAuByCEYAaY/bs2YqLi7N/7tGjh06cOKEtW7bY244fP66ePXuamj86OloDBgzQjBkzqlwrgJqJS2kAAAA2nDECUCO8//77atiw4WXHhYaGat26ddVQEYArEWeMANQIERERFXrxc61atZSWlqYuXbqoZcuWGjp0qL1v48aNZbZ/+OGH6tKli6Rfn6bfpUsXdenSRY8++qjD3MuXL9fAgQMVHx+v+Ph4jRw5Ujt37nQYc8cdd+iWW25RdHS0Nm/erNdee029evVS69atFR0drePHj1fljwGAixGMAFxxevfurS1btpR6In737t3LbH/ooYfs+5T69eunLVu2aMuWLZo3b559zNSpU/Xyyy9r1KhR+vbbb/XNN98oJiZGw4YNc3gn49dff60JEyZIkt544w3deOON+vzzz/XJJ5/I29vbVV8ZgJMQjADgMlJSUrR48WL17dtX/fr1k8Vika+vr/7yl78oLCxML7zwgnJzc0sd16pVK/Xp00deXl5q0aKFXnrpJV1zzTXV/wUAVBjBCAAuY+3atZJ+vQvut7y8vNS9e3f98ssv+vbbb0sd9/uXVQ8ZMkRBQUGuKxRAlRGMAOAyjhw5Ikllbv4ODQ2VJB0+fLhUX/369V1aFwDnIxgBuOoUFxdXyzpeXvwVC9Q0/NQCuGL5+Pjo4sWLpdozMzMrNU9kZKQkKSMjo1TfmTNnJElNmzatfIEAPA7BCMAVKzQ0VKdOnXJo+/e//62CgoIyxwcEBNiDVFFRkSZPnqyTJ0/qD3/4g6Rfb/f/reLiYm3cuFHXXHONOnfu7IJvAKC6EYwAXLF69uyp06dPa/Xq1TIMQ2fPntX8+fMveWdYixYtdOjQIVmtVu3YsUPLli2Tv7+/2rVrp2HDhumzzz7TZ599JsMwVFhYqNdff12nT5/W5MmTFRgYWL1fDoBLWAzDMNxdBABURmJiopYtW+bwEtlu3bpp+vTpDuOKioo0e/ZsrVmzRnl5eYqJidGkSZM0evRoZWRkqE6dOpo+fbq6desmSfruu+/00ksv6fTp0woMDNTjjz+u++67zz7f8uXL9eGHH+r06dOSpJYtW+rxxx9Xx44d7WPuv/9+paWlKTs7W3Xq1FGtWrW0dOlSXXvttdXwJwOgqghGAAAANlxKAwAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBwGXMnTtX0dHR9n8AXLl4JQgAVNDQoUOVnJysAwcOuLsUAC7CGSMAAAAbghEAAICNj7sLAHD1+fTTT7VkyRIdPnxYhmEoIiJCXbt21b333isfHx/17NnTPnbq1KnKysrSsmXLdPz4cdWpU0e9e/fW2LFjFRwcXGrub775Ru+++67+85//yGq1qlmzZho8eLAefPBBeXn99/8F8/LytHr1an311VdKS0tTZmamGjRooG7duunpp59W/fr1L/s9jh8/7lCrJA0YMEAzZsyoVD3fffed7r//fvsxixYtUmpqqj766CMdO3ZMFy9eLDUvABcxAKAaLV682IiKijLmzZtn/Pzzz0ZWVpaxbt06o127dsbf/vY3+7iPP/7YiIqKMnr37m0kJCQYp0+fNnJzc41ly5YZrVq1MgYNGmQUFBQ4zP3uu+8aUVFRxvjx442MjAwjKyvLWLx4sRETE2M8//zzDmP37t1rREVFGVOnTrXPvXPnTqN///7GHXfcYWRlZZWq/eGHHzaioqIc2tLS0oxu3boZq1atKjW+MvUYhmG8+eabRlRUlPHII48YM2fONE6fPm2cOnXK6Nevn8OfDQDXIRgBqFb33nuvERsbW6r9f//3f8sMRj169DCsVqvD2BkzZtjDVYkffvjBiImJMXr06GEUFRU5jB83bpwRFRVlbN682d528OBBY9SoUaXq2LdvnxEVFWUsWLCgVN/vg1FqaqrRtWtX41//+lepsZWtxzD+G4yGDx/u0P7JJ58YH3zwQak1ADgfe4wAVCuLxaLz589ry5YtDu2jRo3SuHHjSo3v3bu3wyUwSerbt68k6ZNPPrG3LV26VMXFxRowYIC8vb0dxt91112SpJUrV9rbWrRoofnz55daLyoqSpK0e/fucr/HgQMHNGLECI0fP15/+MMfSvVXtp6yvl+J/v3766GHHiq3HgDOwR4jANVq2LBhGj9+vEaOHKmOHTuqX79+uvPOO9WgQQMFBQWVGt+4ceNSbc2aNZMkpaWlqbCwUL6+vtq7d68kqWXLlqXGh4WFSZK+//57h/adO3fq3Xff1YEDB3TmzBlZrVZ73/nz5y/5Hfbt26dHHnlEktSpU6cyx5ip5/f9AKofwQhAtbr33nvVpEkTzZ8/X5s3b1ZycrKmTJmiXr166fnnn1fDhg0dxgcGBpaaIyAgQJJkGIZycnLk6+ur7OxsSdITTzxxybXPnTtn//c1a9boueee00033aTZs2crKipKvr6+knTZhziOGjVK7du314YNG/TSSy/pzTffLDWmsvX8lr+/f7nrA3AdghGAatexY0d17NhRmZmZ+vzzz/XBBx9o3bp12r9/v9asWaNatWrZx+bm5pY6Pi8vT5Lk5eWl2rVrS5L9DrX33ntPnTt3vmwNc+bMkWEYmjx5smJiYipV/0svvaTu3bvrgQce0BdffKG1a9faL4+VqGw9ADwDe4wAVKvNmzcrJydHklSvXj099NBDWrVqlVq0aKFDhw4pLS3NYfzJkydLzXHo0CFJv+4TKjnL07ZtW0nSiRMnylx3//792rNnj/1zybjIyEiHcfn5+Zf9Dnfeead8fHw0c+ZM+fn5afLkyTp79qzDmMrWA8AzEIwAVKsXXnhBO3fudGjz9fVVRESEJMnPz8+h7/PPP1dxcbFD27p16yT9+sygEvfff7+8vb21atWqUmvm5uZq5MiR2rRpk70tPDxckkq93mPXrl0V/i7NmzfXs88+q19++UWTJk1y6KtsPQA8A8EIQLWbNm2atm/frpycHF24cEErV67Upk2b1LVrV/vG6hLXXnutJk6cqIyMDOXl5Wn58uVasmSJ2rZtq4cfftg+Ljo6Ws8995x27dql8ePH68cff1R+fr7+/e9/69FHH1XDhg01fPhw+/g//elPkqSJEydq7969ysvLU3Jysl588cVKfZfhw4crLi5OGzdu1Mcff2y6HgCegZfIAqhWu3bt0ieffKJdu3bp1KlTslgsuvbaa9W/f3/98Y9/tG88XrlypRISEjR9+nR5eXlp4cKFOnz4sEJCQtSnTx8988wzZd7FtnnzZi1YsED//ve/VVRUpMaNG6tXr1565JFHVKdOHYexa9eu1cKFC3Xo0CFZLBa1adNG//M//6MRI0bYx0yfPl2SlJCQ4HBsyZOoe/ToUepy2eLFixUXF1fhesp6gnbJ2gMHDqzsHzGAKiAYAfBIvw1GhAMA1YVLaQAAADYEIwAAABsupQHwKJfab7N+/Xpde+21bqgIwNWEYAQAAGDDpTQAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADb/H6ma5RKRSkcKAAAAAElFTkSuQmCC","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"markdown","metadata":{"id":"km5QAOzXU7pQ"},"source":["## 💬 Lexical Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":21217,"status":"ok","timestamp":1703934592486,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"aWDhIodqU7pQ","outputId":"568b5046-d072-42d1-85f1-f9f64da10c7c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","Tutor\n","going: 942\n","miles: 929\n","okay: 810\n","like: 789\n","speed: 727\n","hour: 715\n","time: 711\n","car: 668\n","yeah: 620\n","graph: 579\n","\n","\n","Student\n","like: 1367\n","miles: 780\n","hour: 660\n","yeah: 564\n","would: 474\n","okay: 434\n","fifty: 431\n","point: 428\n","distance: 423\n","think: 411\n","\n","\n","None\n","okay: 4\n","cool: 1\n","yeah: 1\n","average: 1\n","make: 1\n","sense: 1\n","yep: 1\n","three: 1\n","four: 1\n","yes: 1\n","\n","\n","\n"]}],"source":["lexical_analyzer = LexicalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's look at the most common words per speaker in the dataset.\n","lexical_analyzer.print_word_frequency(\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 10 words per speaker.\n"," topk=10,\n"," # Let's also format the text (e.g., remove punctuation, lowercase the text, etc.)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"h3z4Ude0U7pQ"},"source":["The language between the two looks pretty similar. Let's run a log-odds analysis to see what words that are more likely to be used by the tutor vs. student."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":25035,"status":"ok","timestamp":1703934620837,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"0RC6oPiqU7pQ","outputId":"97365083-56bd-42de-f467-9b9faf5ee4e9"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# This returns the merged dataframe of the annotated files in DATA_DIR.\n","df = lexical_analyzer.get_df()\n","\n","# We want to create two groups of df: one for the student and one for the tutor.\n","student_df = df[df[SPEAKER_COLUMN] == STUDENT_SPEAKER]\n","tutor_df = df[df[SPEAKER_COLUMN] == TEACHER_SPEAKER]\n","\n","# Now we can run the log-odds analysis:\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=tutor_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # Let's name the df groups to show on the plot\n"," group1_name=\"Student\",\n"," group2_name=\"Tutor\",\n"," # Let's also run the text formatting\n"," run_text_formatting=True,\n",")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":901},"executionInfo":{"elapsed":22211,"status":"ok","timestamp":1703934643046,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"jMU0BbqDU7pQ","outputId":"00fdf8ca-cace-4889-cfa5-4379887a3b08"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# We might also be interested in other n-grams. Let's look at the top 10 bigrams per speaker.\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=tutor_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," group1_name=\"Student\",\n"," group2_name=\"Tutor\",\n"," run_text_formatting=True,\n"," # n-grams:\n"," run_ngrams=True,\n"," n=2,\n"," topk=10\n",")"]},{"cell_type":"markdown","metadata":{"id":"Lah3VQtzU7pQ"},"source":["## 📈 Temporal Analysis\n","\n","Let's look at the temporal trends of the talktime, student reasoning and uptake annotations!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1993,"status":"ok","timestamp":1703934648407,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"pFvHDA8qU7pQ","outputId":"6c52f123-667a-4a3f-c37e-f2feac7de343"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["temporal_analyzer = TemporalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# First let's look at the talk time ratio between the speakers over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":1546,"status":"ok","timestamp":1703934657800,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"-JTOzSNtU7pQ","outputId":"29c78db0-f8df-4d6b-abf9-dae0dd5d21ab"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Now student reasoning over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":2268,"status":"ok","timestamp":1703934664052,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Tmw7Db-ZU7pQ","outputId":"d6a07916-840b-409b-dc0b-b8391007fb1b"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10,\n",")"]},{"cell_type":"markdown","metadata":{"id":"sd26pOs-U7pQ"},"source":["## 📚 Conclusions and Next Steps\n","\n","Great! From this tutorial, we learned how to use `edu-convokit` to preprocess, annotate and analyze the Amber dataset.\n","We saw how very simple principles built into `edu-convokit` can be used to analyze the dataset and gain insights into the data from various perspectives (qualitative, quantitative, lexical and temporal).\n","\n","Other resources you can check out include:\n","- [Tutorial on edu-convokit for the NCTE dataset](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [Tutorial on edu-convokit for the TalkMoves dataset](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [`edu-convokit` documentation](https://edu-convokit.readthedocs.io/en/latest/)\n","- [`edu-convokit` GitHub repository](https://github.com/rosewang2008/edu-convokit/tree/main)\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 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happen **qualitatively** where you look at the data; for example, in the previous tutorial, we annotated the data for `student_reasoning` and you might be interested in looking at the specific instances of student reasoning.\n","- 📊 It can happen **quantitatively** where you look at the data in aggregate; for example, you might be interested in the average amount of time the student and educator talk.\n","- 💬 You might be interested in **lexically** analyzing the data; for example, you might be interested in what words the student uses the most compared to the educator.\n","- 📈 You might be interested in **temporally** analyzing the data; for example, you might be interested in the amount of time the student and educator talk over the course of their interaction.\n","- 🤖 You might also be interested in using **GPT** to analyze the data; for example, you might want GPT4 to summarize the transcript.\n","\n","## 📚 Learning Objectives\n","\n","In this tutorial, you will learn how to use `Analyzer` to satisfy all these analysis needs. You will learn how to use\n","\n","1. The Analyzer Modules\n"," - 🔍 Qualitative Analyzer (Section Link 🔗)\n"," - 📊 Quantitative Analyzer (Section Link 🔗)\n"," - 💬 Lexical Analyzer (Section Link 🔗)\n"," - 📈 Temporal Analyzer (Section Link 🔗)\n"," - 🤖 GPT Conversation Analyzer (Section Link 🔗)\n","2. The Different Data Entry Points for Analyzer\n"," - Single Transcript (Section Link 🔗)\n"," - Data Directory (Section Link 🔗)\n"," - List of Transcripts (Section Link 🔗)\n","\n","If you are interested in seeing examples of these analyzers on full datasets, please check out our other tutorials where we apply everything to the:\n","- [NCTE dataset with an elementary math classroom data](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [TalkMoves dataset with a K-12 math classroom data](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [Amber dataset, with 8th/0th grade math tutoring data](https://colab.research.google.com/drive/1Q3anUPcemMils4cz2gwEwDdKCjEdm6T9)\n","\n","If you want to add additional analysis to `edu-convokit`, please make a pull request to the [repo](https://github.com/rosewang2008/edu-convokit/).\n","\n","Without further ado, let's get started!"]},{"cell_type":"markdown","metadata":{"id":"5Bm5JVWeSDOU"},"source":["## Installation\n","\n","As always, we will start by installing and importing `edu-convokit`.\n"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":20098,"status":"ok","timestamp":1703932978537,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"V0MfrSbPSDOV","outputId":"8fd548fc-affd-434e-e414-6b69ba1749ba"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-req-build-dmdqg8qr\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-req-build-dmdqg8qr\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 87734dbfd1847bdee563aafd6aa1307238ef1478\n"," Preparing metadata (setup.py) ... \u001b[?25ldone\n","\u001b[?25hRequirement already satisfied: tqdm in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (4.65.0)\n","Requirement already satisfied: numpy in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (1.24.3)\n","Requirement already satisfied: scipy in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (1.10.1)\n","Requirement already satisfied: nltk in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (3.8.1)\n","Requirement already satisfied: torch in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (2.0.1)\n","Requirement already satisfied: transformers in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (4.29.2)\n","Requirement already 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/private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-ephem-wheel-cache-dfn5mogy/wheels/4b/9d/cf/a5b069f3d435ef1f583a9749713d46b338038ff982b0e7cb5e\n","Successfully built edu-convokit\n","Installing collected packages: edu-convokit\n","Successfully installed edu-convokit-0.0.1\n"]}],"source":["!pip install git+https://github.com/rosewang2008/edu-convokit.git"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"dlGlmK8fSDOW"},"outputs":[{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package stopwords to\n","[nltk_data] /Users/rewang/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]}],"source":["from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer,\n"," GPTConversationAnalyzer\n",")\n","\n","# For helping us load data\n","from edu_convokit import utils"]},{"cell_type":"markdown","metadata":{"id":"Jo2zzSEDSDOW"},"source":["## 📑 Data\n","\n","Let's load the data annotated from the [last tutorial on using the `Annotator` to annotate the data](TODO).\n","It's a transcript from the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves).\n","It contains our annotations on talk time, student reasoning, teacher focusing questions, and conversational uptake.\n"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":397},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"jSi92MGrSDOW","outputId":"9d1c010c-8408-49c4-9d59-c8125747ca28"},"outputs":[],"source":["!wget https://github.com/rosewang2008/edu-convokit/blob/main/data/annotated_data.csv\n","\n","data_fname = \"annotated_data.csv\"\n","df = utils.load_data(data_fname) # Handles loading data from different file types including: .csv, .xlsx, .json\n","\n","# Here are the same variables we used in the previous notebook\n","TEXT_COLUMN = \"Sentence\"\n","SPEAKER_COLUMN = \"Speaker\"\n","known_replacement_names = [f\"[STUDENT_{i}]\" for i in range(3)]\n","\n","# Annotation columns from the previous notebook\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","TEACHER_FOCUSING_QUESTION_COLUMN = \"focusing_questions\"\n","UPTAKE_COLUMN = \"uptake\"\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"TuWoJm_4SDOW"},"source":["## 🔍 Qualitative Analysis\n","\n","Let's start by looking at the data qualitatively.\n","We will use the `QualitativeAnalyzer` to look at the data.\n","\n","Ever wondered whether there was a quick way to ...\n","- Look at examples of student reasoning?\n","- Look at examples of educator focusing questions?\n","- Look at examples of high conversational uptake by the educator?\n","\n","This is where the `QualitativeAnalyzer` comes in handy!\n","\n","Let's start by looking at examples of student reasoning."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"uBtCiL5fSDOW","outputId":"91cc464b-7f2e-4e05-e67f-3d9fc43d9c0d"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","\n","student_reasoning: 1.0\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","\n","student_reasoning: 1.0\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","\n"]}],"source":["qual_analyzer = QualitativeAnalyzer()\n","\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," # We want to look at examples for the reasoning feature\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," # We want to look at positive examples of reasoning\n"," feature_value=1.0,\n"," # Let's look at 3 examples\n"," max_num_examples=3\n",")"]},{"cell_type":"markdown","metadata":{"id":"pxNTnJS8SDOX"},"source":["🎉 Great! This is a quick way to look at examples of student reasoning.\n","\n","If you're curious in looking at the preceding and succeeding utterances (for context), you can easily do that by specifying the number of lines:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ymvdkfBQSDOX","outputId":"294b4c77-04e5-4f1e-fc02-f2d7cac639f4"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","\n","student_reasoning: 1.0\n","T: Ok\n","[STUDENT_1]: So there’s six sixths\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","\n","student_reasoning: 1.0\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. I’m confused about the little white rods, I am following you right up to that point.\n","\n"]}],"source":["qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," # We want to look at the previous 2 lines of context\n"," show_k_previous_lines=2,\n"," # We also want to look at the next 1 line of context\n"," show_k_next_lines=1\n",")"]},{"cell_type":"markdown","metadata":{"id":"aCAsuOJzSDOX"},"source":["🎉 Awesome! Another handy way to use `QualitativeAnalyzer` is to look at both positive and negative examples of student reasoning.\n","You can do that by omitting the feature values specification:\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"KF0N6N8DSDOX","outputId":"592f0531-103c-4634-a45a-b631f940e1cd"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n","T: I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger and if so, if one is bigger, by how much. Why don’t you work with your partner and see what you can do.\n",">> [STUDENT_0]: Try the purples. Get three purples. It doesn’t work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n","\n","student_reasoning: 0.0\n","[STUDENT_0]: Try the purples. Get three purples. It doesn’t work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n",">> [STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n","\n","student_reasoning: 0.0\n","[STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n",">> [STUDENT_0]: We’re not doing the one third, we’re doing two thirds. That is one third\n","[STUDENT_1]: First we’ve got to find out what a third of it is. What’s a third of an orange?\n","\n","student_reasoning: 1.0\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","\n","student_reasoning: 1.0\n","T: Ok\n","[STUDENT_1]: So there’s six sixths\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","\n","student_reasoning: 1.0\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. I’m confused about the little white rods, I am following you right up to that point.\n","\n"]}],"source":["qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," max_num_examples=3,\n"," show_k_previous_lines=2,\n"," show_k_next_lines=1,\n"," # feature_value=\"1.0\", Omitted!\n",")"]},{"cell_type":"markdown","metadata":{"id":"vuJsicX_SDOX"},"source":["🎉 Great! Looking at examples of focusing questions and high conversational uptake will be similar to the example above for student reasoning."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":7,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"1vlH-X7WSDOX","outputId":"227158c4-75ad-4762-863b-00359c5df16a"},"outputs":[{"name":"stdout","output_type":"stream","text":["focusing_questions: 1.0\n","[STUDENT_1]: And you put six ones up to the dark green\n",">> T: Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","[STUDENT_1]: One sixth\n","T: One sixth.\n","\n"]}],"source":["# Examples of focusing questions.\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TEACHER_FOCUSING_QUESTION_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," show_k_previous_lines=1,\n"," # We might be more interested in the discourse that follows the focusing question!\n"," # So increasing `show_k_next_lines`\n"," show_k_next_lines=2,\n",")\n","\n","# There's only one example of focusing questions, so it'll only print out one example."]},{"cell_type":"markdown","metadata":{"id":"2o7TPbpdSDOX"},"source":["💡 Note: This function shows us interesting examples of when teachers use focusing questions. This is a great way to get a sense of how the teacher uses questions to guide the discourse in teaching."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Q1RVj8pMSDOX","outputId":"b85f9c91-da51-4d9a-ba81-40731ab4f313"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","[STUDENT_0]: Yeah, I know, and put ‘em up to there, and that would be one sixth. Hey, wait a minute, hey wait, maybe that’s it, yeah it’s bigger by one sixth\n",">> T: Now take six of the ones Which is bigger?\n","\n","uptake: 1.0\n","[STUDENT_1]: And you put six ones up to the dark green\n",">> T: Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","\n"]}],"source":["# Examples of focusing questions.\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," # We're more interested in what precedes the high uptake.\n"," show_k_previous_lines=1,\n"," show_k_next_lines=0,\n",")"]},{"cell_type":"markdown","metadata":{"id":"sfT-21Z3SDOY"},"source":["💡 Note: This shows us examples of when the teacher is building on the contribution of the student. This can be useful in seeing high engagement between the teacher and student."]},{"cell_type":"markdown","metadata":{"id":"ozT9Li4aSDOY"},"source":["Awesome, this conclude the tutorial on `QualitativeAnalyzer`.\n","For more information on this class, please refer to our [documentation](TODO).\n","\n","We're now going to move onto the `QuantitativeAnalyzer`."]},{"cell_type":"markdown","metadata":{"id":"MzhE8QNESDOY"},"source":["## 📊 Quantitative Analysis\n","\n","Let's start by looking at the data quantitatively.\n","We will use the `QuantitativeAnalyzer` to look at the data.\n","\n","Ever wondered whether there was a quick way to report aggregate statistics on:\n","- Talk time?\n","- Student reasoning?\n","- Teacher focusing questions?\n","- Conversational uptake?\n","\n","This is where the `QuantitativeAnalyzer` comes in handy!"]},{"cell_type":"markdown","metadata":{"id":"z7TWe8BASDOY"},"source":["Let's say we want to understand the talk time percentage split between the student and educator.\n","We might want to know the statistic and plot the data.\n","Here's how we can do that:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"bKW8nU8xSDOY","outputId":"043e966a-e7a6-4457-8233-20c2d677fea7"},"outputs":[{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","T 1.0 0.252459 NaN 0.252459 0.252459 0.252459 0.252459 0.252459\n","T 2 1.0 0.218579 NaN 0.218579 0.218579 0.218579 0.218579 0.218579\n","[STUDENT_0] 1.0 0.144262 NaN 0.144262 0.144262 0.144262 0.144262 0.144262\n","[STUDENT_1] 1.0 0.377049 NaN 0.377049 0.377049 0.377049 0.377049 0.377049\n","[STUDENT_1] and [STUDENT_0] 1.0 0.005464 NaN 0.005464 0.005464 0.005464 0.005464 0.005464\n","[STUDENT_2] 1.0 0.002186 NaN 0.002186 0.002186 0.002186 0.002186 0.002186\n"]}],"source":["analyzer = QuantitativeAnalyzer()\n","\n","analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\" # We want to see the proportion of talk time\n",")"]},{"cell_type":"markdown","metadata":{"id":"Wj41-H5GSDOY"},"source":["🎉 Great! This is a quick way to look at aggregate statistics on talk time.\n","\n","💡 Note: In this single file, we can see under `mean` that `[STUDENT_1]` talks quite often --- about 38% of the time!\n","\n","❓ Curious about looking at aggregate statistics over multiple files? Jump to the section on [Data Entry Points](#data-entry-points-for-analyzer) to learn more.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"vApaOpY6SDOY"},"source":["Similarly, we can plot this statistics:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":478},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1703932983233,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"SvyPwQTmSDOY","outputId":"0dd60f3d-93a5-4bfc-c7a3-438cdf0fb8dc"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"MBZNWYhySDOY"},"source":["The speaker names are too long and so they overlap. We can fix this by creating a dictionary that maps the speaker names to shorter names:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":495},"executionInfo":{"elapsed":399,"status":"ok","timestamp":1703932983630,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"MturhuoASDOY","outputId":"48b3219d-9b0d-46e8-a7b9-a8d5efa76b2f"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Create speaker mapping to A, B, C, D\n","label_mapping = {\n"," speaker: chr(ord('A') + i) for i, speaker in enumerate(df[SPEAKER_COLUMN].unique())\n","}\n","\n","print(f\"Mapping: {label_mapping}\")\n","\n","# Pass this mapping into the analyzer\n","analyzer.plot_statistics(\n"," # Everything else is the same\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # We want to use the mapping we created\n"," label_mapping=label_mapping\n",")"]},{"cell_type":"markdown","metadata":{"id":"C4UignsSSDOY"},"source":["🎉 Great, these simple examples show how we can report quantitative statistics on talk time.\n","\n","The other statistics are similar to the example above for talk time. For conciseness, we will omit them here; but the only thing you need to do is change the `feature_column` argument to the feature you want to analyze."]},{"cell_type":"markdown","metadata":{"id":"HvFEDDc7SDOY"},"source":["We'll now move onto the `LexicalAnalyzer`."]},{"cell_type":"markdown","metadata":{"id":"oj-DUr3lSDOZ"},"source":["## 💬 Lexical Analysis\n","\n","A lexical analysis is an analysis on the words used in the data.\n","This is useful for understanding the low-level language (i.e., word usage) used by the student and educator.\n","While a lexical analysis may be too low-level for capturing e.g., the meaning of the discourse, it can be a useful first step in capturing language trends in the data.\n","\n","We will give a simple demonstration of two features of the `LexicalAnalyzer`:\n","- Word Frequency: We will look at the most frequent words used by each speaker.\n","- Log-Odds: We will look at the log-odds of words used by each speaker (i.e., which words are more likely to be used by the student vs. the educator)."]},{"cell_type":"markdown","metadata":{"id":"pnvN9tubSDOZ"},"source":["First, let's look at the most frequent words used by each speaker."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":268,"status":"ok","timestamp":1703932983895,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"KcHsx0k2SDOZ","outputId":"678524a6-07fb-4333-a0fc-69a2c717e07d"},"outputs":[{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]},{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","T\n","works: 6\n","one: 5\n","bigger: 4\n","models: 4\n","write: 3\n","\n","\n","[STUDENT_0]\n","one: 10\n","would: 5\n","third: 4\n","yeah: 3\n","bigger: 3\n","\n","\n","[STUDENT_1]\n","one: 16\n","two: 13\n","take: 9\n","put: 8\n","yeah: 8\n","\n","\n","[STUDENT_2]\n","one: 1\n","half: 1\n","\n","\n","[STUDENT_1] and [STUDENT_0]\n","well: 1\n","bigger: 1\n","one: 1\n","\n","\n","T 2\n","one: 9\n","two: 8\n","interesting: 5\n","okay: 4\n","twelfths: 4\n","\n","\n","\n"]}],"source":["\n","import nltk\n","nltk.download(\"stopwords\")\n","\n","analyzer = LexicalAnalyzer()\n","\n","analyzer.print_word_frequency(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 5 words\n"," topk=5,\n"," # We want to format the text e.g., remove punctuation and stopwords (https://en.wikipedia.org/wiki/Stop_word)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"rwJe7D4eSDOZ"},"source":["🎉 Nice, that was easy!\n","\n","💡 We can see that there's a lot of use of numbers and fractions (\"one\", \"third\"), in addition to comparison language (\"bigger\").\n","\n","If you want to see the most frequent words overall, you can omit the `speaker_column` argument:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":158,"status":"ok","timestamp":1703932984051,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"SqQkuvpQSDOZ","outputId":"c0c6f667-2c2d-4e37-8e18-37f012278828"},"outputs":[{"name":"stdout","output_type":"stream","text":["one: 42\n","two: 25\n","bigger: 15\n","yeah: 12\n","sixth: 11\n","\n"]}],"source":["analyzer.print_word_frequency(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," # Bye! We don't care about the speaker anymore\n"," # speaker_column=SPEAKER_COLUMN,\n"," topk=5,\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"ID5leTsgSDOZ"},"source":["🎉 Great, this is a quick way to look at the most frequent words used by each speaker.\n","\n","❓ Curious in looking into common n-grams for the speakers? Please refer to our [documentation](TODO) for more information.\n","\n","Let's now move onto the log-odds analysis."]},{"cell_type":"markdown","metadata":{"id":"eqnSBAjhSDOZ"},"source":["💡 Why a log-odds analysis?\n","\n","Going beyond just counting frequent words in the student and teacher's utterances, we might be interested in the chances of a word occurring in the student's text over it occurring in the teacher's text.\n","\n","This gets us to a log-odds analysis on the words. For more information on log-odds analysis, please refer to [this paper](https://languagelog.ldc.upenn.edu/myl/Monroe.pdf) which applied the same analysis to study language use in political speeches.\n"]},{"cell_type":"markdown","metadata":{"id":"dFu3dUGnSDOZ"},"source":["In order to run a log-odds analysis, we need to specify two groups of texts we want to compare to each other.\n","In this case, we are interested in comparing the student's text to the teacher's text.\n","So let's split our original dataframe into these two groups and pass them into the log-odds analysis."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":230,"status":"ok","timestamp":1703932984279,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"MwyZSoZVSDOZ","outputId":"486ad4e4-ad20-4b69-8720-30ca320951fc"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top words for Group 1\n","put: 1.5082544501223418\n","yeah: 1.4243179151183505\n","third: 1.323889968245073\n","take: 1.2333974083596422\n","green: 1.1289734037070032\n","\n","\n","Top words for Group 2\n","works: -1.5890822958913073\n","models: -1.5890822958913073\n","interesting: -1.447190205063502\n","see: -1.291347559145683\n","okay: -1.291347559145683\n","\n"]}],"source":["speakers = df[SPEAKER_COLUMN].unique()\n","# Student speakers are ones that contain STUDENT in their name\n","student_speakers = [speaker for speaker in speakers if \"STUDENT\" in speaker]\n","# Teacher speakers are all the other speakers\n","teacher_speakers = [speaker for speaker in speakers if speaker not in student_speakers]\n","\n","# Now let's split the data frame into two data frames: one for student speakers and one for teacher speakers\n","student_df = df[df[SPEAKER_COLUMN].isin(student_speakers)]\n","teacher_df = df[df[SPEAKER_COLUMN].isin(teacher_speakers)]\n","\n","# We can now run the analyzer:\n","analyzer.print_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # We want to look at the top 5 words\n"," topk=5,\n"," # We still want to format the text\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"cPDcA-w6SDOZ"},"source":["🎉 Awesome, this shows us both the words and odds of the words used by the student (Group 1) and educator (Group 2).\n","\n","We can also plot this with a similar function call:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":864,"status":"ok","timestamp":1703932985141,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"bxzNuucaSDOZ","outputId":"403c2f16-44b6-4238-a4ca-d2037ba78ced"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["\n","analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," topk=5,\n"," run_text_formatting=True,\n"," # We can pass plot labels for group 1 and 2\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"SyzzFtyeSDOe"},"source":["Neat, this concludes the tutorial on `LexicalAnalyzer`.\n","There are other features of the `LexicalAnalyzer` that we did not cover here such as reporting n-gram frequency or performing a log-odds analysis on n-grams.\n","For more information on these features, please refer to our [documentation](TODO).\n","\n","We'll now move onto the last analyzer, the `TemporalAnalyzer`!"]},{"cell_type":"markdown","metadata":{"id":"qrWrCPZXSDOe"},"source":["## 📈 Temporal Analysis\n","\n","A temporal analysis is an analysis on the features over time.\n","We define time as the time over the course of the transcript.\n","\n","\n","Let's see how we can look at the talk time ratio (which we summarized before quantitatively) over time.\n","This setup will look similar to the quantitative analysis however the key difference is that we will specify a `num_bins` argument to specify the number of bins we want to split the transcript into.\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":495},"executionInfo":{"elapsed":1083,"status":"ok","timestamp":1703932986222,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"N0vcQ2ikSDOe","outputId":"36f6073a-9c36-40a8-9ec0-abb51059fd08"},"outputs":[{"name":"stdout","output_type":"stream","text":["Label mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["analyzer = TemporalAnalyzer()\n","\n","# We'll use the same label mapping as before to abbreviate the speaker names\n","print(f\"Label mapping: {label_mapping}\")\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to see the proportion of talk time\n"," value_as=\"prop\",\n"," # We will split the session into 5 bins\n"," num_bins=5,\n"," # We want to use the mapping we created\n"," label_mapping=label_mapping\n"," )\n"]},{"cell_type":"markdown","metadata":{"id":"0icWtQQhSDOe"},"source":["🎉 Plotting the temporal data was straightforward!\n","\n","💡 There are some interesting observations, for example:\n","- Speaker B ([STUDENT_0]) decreases their talk time over time whereas\n","- Speaker C (the other student, [STUDENT_1]) has fluctuating talk time over time.\n"]},{"cell_type":"markdown","metadata":{"id":"ZuvYrgFkSDOf"},"source":["Let's also look at the conversational uptake over time. Remember that conversational uptake is looking at how the teacher builds on the student's contribution.\n","So we'll only see values on the teacher speaker, and not the students (that's how the feature was annotated)."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":549},"executionInfo":{"elapsed":1801,"status":"ok","timestamp":1703932988019,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"0IPO97XYSDOf","outputId":"25ec7eb9-21b0-4881-9559-bb1867f4ee63"},"outputs":[{"name":"stdout","output_type":"stream","text":["Label mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# We'll use the same label mapping as before to abbreviate the speaker names\n","print(f\"Label mapping: {label_mapping}\")\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to see the average uptake (this is different from proportion: average looks at within-speaker average, whereas proportion looks at across-speaker average)\n"," value_as=\"avg\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )"]},{"cell_type":"markdown","metadata":{"id":"Plt3Yeg4SDOf"},"source":["💡 Super interesting! In this transcript, we see that the teacher's conversational uptake _decreases_ over time.\n","\n","This example shows how powerful a temporal analysis can be in understanding the data and how `TemporalAnalyzer` makes it easy to perform this analysis.\n","There are many other features that you can perform a temporal analysis on. For more information, please refer to our [documentation](TODO)."]},{"cell_type":"markdown","metadata":{},"source":["## 🤖 GPT Analysis\n","\n","Finally, we can use GPT to analyze the data. This is a powerful tool that can be used to summarize the transcript, or generate other natural language analysis insights. \n","\n","In order for this to work, you need to set your API key below.\n","\n","⚠️ **Warning**: Never publicly share your API key! If you are using this notebook in a public setting, please remove your API key before sharing. "]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[],"source":["import os\n","os.environ[\"OPENAI_API_KEY\"] = \"YOUR_API_KEY\""]},{"cell_type":"markdown","metadata":{},"source":["Before we prompt the model, we can preview the prompt with the `preview_prompt` function. This will show us the prompt that will be sent to the model."]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Consider the following transcript of a conversation between a teacher and a student.\n","\n","Transcript:\n","T: I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger and if so, if one is bigger, by how much. Why don’t you work with your partner and see what you can do.\n","[STUDENT_0]: Try the purples. Get three purples. It doesn’t work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n","[STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n","[STUDENT_0]: We’re not doing the one third, we’re doing two thirds. That is one third\n","[STUDENT_1]: First we’ve got to find out what a third of it is. What’s a third of an orange?\n","[STUDENT_0]: One third?\n","[STUDENT_1]: What’s third of an orange? Let’s start a different model. The green. The green, half of it is the light green\n","[STUDENT_0]: Alright, yeah, I was thinking of that way before\n","[STUDENT_1]: And you can take the take the red, and the light green, and put it up to it , it’s, she asked, is one half bigger than, what did she ask? What did she ask?\n","[STUDENT_0]: She asked, which is bigger, one half or two thirds?\n","[STUDENT_1]: One half or two thirds? Now take six of the ones\n","[STUDENT_0]: Yeah, I know, and put ‘em up to there, and that would be one sixth. Hey, wait a minute, hey wait, maybe that’s it, yeah it’s bigger by one sixth\n","T: Now take six of the ones Which is bigger?\n","[STUDENT_2]: One half \n","[STUDENT_0]: I think one half is...\n","T: Yes, [STUDENT_0] and [STUDENT_1]?\n","[STUDENT_0]: What do you have?\n","[STUDENT_1] and [STUDENT_0]: Well\n","[STUDENT_0]: we think\n","[STUDENT_1]: two thirds\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n","[STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","[STUDENT_1]: If you put it up to a whole\n","T: I’m sorry, what’s the number name for dark green\n","[STUDENT_1] and [STUDENT_0]: One\n","T: Ok.\n","[STUDENT_1]: And you put six ones up to the dark green\n","T: Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","[STUDENT_1]: One sixth\n","T: One sixth.\n","[STUDENT_0]: And then these, this would be\n","[STUDENT_1]: We’re calling them each sixths,\n","T: Ok\n","[STUDENT_1]: So there’s six sixths\n","[STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","[STUDENT_1]: Yeah, mm hmm.\n","T: Ok, could you write that up? Uh, let me get you some paper, I want you to write that up. And see if you can make me - if it works for other models because some students don’t believe that it works for other models and I think you two believe that it works for other models\n","[STUDENT_1]: Mmm hmm, yeah\n","T: So can you try to find some so that you can try to convince them that it should work for other models, and come up with a way of explaining it to the class, ok? That if it works, if you really believe it, that if it works for one it works for others, and then write this up, let me get you some paper.\n","[STUDENT_1]: Seven, nine, ten, I need them. Go get another box.\n","T 2: Ok I see you had your hands up over here?\n","[STUDENT_1]: Yeah\n","T 2: Let me come around and see what you’re doing.\n","[STUDENT_1]: We found two answers\n","[STUDENT_0]: Well, I have three.\n","T 2: You have two solutions... three. Ok, let me hear about one of these models. Here, which one do you want to tell me about?\n","[STUDENT_1]: That one.\n","T 2: Yeah, that's an interesting looking one, tell me about it.\n","[STUDENT_1]: Now if you call this rod one...\n","T 2: The orange and red together?\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n","[STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. I’m confused about the little white rods, I am following you right up to that point.\n","[STUDENT_1]: If you put the white rods up to here, there's twelve of them, and then you call them twelfths, because there are twelve of them.\n","T 2: All right, okay.\n","[STUDENT_1]: And then you take the two thirds, and you take two twelfths, and then you put it up to the thirds and it is bigger by two tens... two twelfths.\n","T 2: By two twelfths, okay.\n","[STUDENT_1]: If you use this model...\n","T 2: Uh hmm.\n","[STUDENT_1]: And if you use this model\n","T 2: Uh hmm.\n","[STUDENT_1]: And you call these sixths, and you put this one up to it and it is bigger than one sixth.\n","T 2: Okay, so here it was bigger by two twelfths and here it was bigger by one sixth.\n","[STUDENT_1]: Yeah.\n","T 2: That's interesting. Could we call the difference between the two thirds and the one half in this model another number name besides two twelfths?\n","[STUDENT_1]: Um, yeah, well, maybe...\n","T 2: You said two of those little white ones were two twelfths, right?\n","[STUDENT_1]: Yeah, and maybe since two of these little white ones equals up to one of these or it's one fifth, oh, I mean one sixth, the reds\n","T 2: Oh, that's interesting, that's kind of interesting, then, so if you then used the reds to describe the difference, you could call this one sixth, the difference.\n","[STUDENT_1]: Uh hmm.\n","T 2: And over here one of the whites you say is one sixth?\n","[STUDENT_1]: Yeah.\n","T 2: Oh, that’s interesting, two different models. Okay.\n","\n","Please summarize the conversation in a few sentences.\n","\n","Summary:\n"]}],"source":["analyzer = GPTConversationAnalyzer()\n","prompt = analyzer.preview_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," format_template=\"{speaker}: {text}\",\n"," )\n","print(prompt)"]},{"cell_type":"markdown","metadata":{},"source":["Now you can prompt the model with the `prompt_model` function. This will return the response from the model."]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The teacher asked the students to determine which is larger, one half or two thirds, and by how much. The students used different colored rods to represent fractions and concluded that two thirds is larger than one half by one sixth. They then tested their theory with different models, using different rods to represent different fractions, and found that their conclusion held true. The teacher encouraged them to write up their findings and explain them to the class.\n"]}],"source":["prompt, response = analyzer.run_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," format_template=\"{speaker}: {text}\",\n"," )\n","print(response)"]},{"cell_type":"markdown","metadata":{},"source":["There are many other prompts that you can perform a GPT analysis on. For more information, please see our prompts database [here](https://github.com/rosewang2008/edu-convokit/tree/main/edu_convokit/prompts/)."]},{"cell_type":"markdown","metadata":{"id":"LRhJXgt1SDOf"},"source":["## Data Entry Points for Analyzer\n","\n","In the previous sections, we looked at how to use the `Analyzer` modules on a single transcript.\n","However, you might be interested in analyzing multiple transcripts at once.\n","In this section, we will look at the different data entry points for the `Analyzer` modules.\n","We'll use the `TemporalAnalyzer` as an example for demonstrating the different data entry points."]},{"cell_type":"markdown","metadata":{"id":"iiP-beWYSDOf"},"source":["### Single Transcript\n","\n","In the previous example, we saw how to analyze a single transcript. We did this by loading the transcript into a dataframe and passing it into every function call of `TemporalAnalyzer` like:\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1869,"status":"ok","timestamp":1703932989886,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"dUrIfQuFSDOf","outputId":"426921fb-8bdd-4726-89a9-5db53f16e5fb"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["analyzer = TemporalAnalyzer()\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )"]},{"cell_type":"markdown","metadata":{"id":"EFjRkmhFSDOf"},"source":["Another way, we could have done this is by passing either (a) the transcript file path or (b) dataframe into the `TemporalAnalyzer` constructor:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":920},"executionInfo":{"elapsed":2380,"status":"ok","timestamp":1703932992263,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"zEWhGKldSDOf","outputId":"12a8c3d9-b652-433a-f8bc-875a75b7be1e"},"outputs":[{"data":{"image/png":"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","text/plain":["
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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# (a) Passing in the filename\n","analyzer = TemporalAnalyzer(filenames=data_fname)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," # We don't need to pass in the data frame anymore\n"," # dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )\n","\n","# (b) Passing in the data frame\n","analyzer = TemporalAnalyzer(dfs=df)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," # We don't need to pass in the data frame anymore\n"," # dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )\n"]},{"cell_type":"markdown","metadata":{"id":"VRQKHXmISDOf"},"source":["As expected, we get the same results as before."]},{"cell_type":"markdown","metadata":{"id":"eTS_ryshSDOf"},"source":["### Data Directory\n","\n","Let's say we have a directory of transcripts and we want to analyze all of them.\n","We can do this by passing the directory path into the `TemporalAnalyzer` constructor, and then analyzing the data:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":322,"status":"ok","timestamp":1703932992582,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"vefz2VtjSDOf","outputId":"56ffa367-1283-413f-d87b-924efa365e28"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4244.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 27052 (26K) [text/plain]\n","Saving to: ‘sample_data_colab/4244.csv’\n","\n","\r sample_da 0%[ ] 0 --.-KB/s \rsample_data_colab/4 100%[===================>] 26.42K --.-KB/s in 0.002s \n","\n","2023-12-30 10:43:12 (15.8 MB/s) - ‘sample_data_colab/4244.csv’ saved [27052/27052]\n","\n","--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4245.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 30713 (30K) [text/plain]\n","Saving to: ‘sample_data_colab/4245.csv’\n","\n","sample_data_colab/4 100%[===================>] 29.99K --.-KB/s in 0.003s \n","\n","2023-12-30 10:43:12 (11.1 MB/s) - ‘sample_data_colab/4245.csv’ saved [30713/30713]\n","\n","--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4246.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 14760 (14K) [text/plain]\n","Saving to: ‘sample_data_colab/4246.csv’\n","\n","sample_data_colab/4 100%[===================>] 14.41K --.-KB/s in 0s \n","\n","2023-12-30 10:43:12 (65.8 MB/s) - ‘sample_data_colab/4246.csv’ saved [14760/14760]\n","\n"]}],"source":["# Let's first prepare the data directory\n","DATA_DIR = \"sample_data_colab\"\n","!mkdir -p $DATA_DIR\n","\n","# Let's download the data and save it to the data directory. We'll use three transcripts as examples.\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4244.csv -O $DATA_DIR/4244.csv\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4245.csv -O $DATA_DIR/4245.csv\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4246.csv -O $DATA_DIR/4246.csv\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1444,"status":"ok","timestamp":1703932994024,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"k-2FJs7JSDOf","outputId":"d46b95b7-04ec-4204-fe4c-8893ab463d93"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Now let's analyze the data in this directory.\n","analyzer = TemporalAnalyzer(data_dir=DATA_DIR)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n",")"]},{"cell_type":"markdown","metadata":{"id":"RQf0imr8SDOf"},"source":["💡 Neat! On this directory of transcripts, we see that the talk time ratio is pretty consistent during the tutoring session: The Tutor talks about 80% of the time and the Student talks about 20% of the time.\n","\n","There also seems to be a speaker named None --- this is coming from missing annotations in the Amber dataset: [link](https://github.com/rosewang2008/edu-convokit/blob/main/data/analyzers/4245.csv).\n"]},{"cell_type":"markdown","metadata":{"id":"8Mj8Xx-NSDOg"},"source":["### Multiple Transcripts\n","\n","Let's say we have a list of _specific_ transcripts and we want to analyze them.\n","We can easily do this by passing the list of transcript file paths into the `TemporalAnalyzer` constructor, and then analyzing the data:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1465,"status":"ok","timestamp":1703932995488,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"rgzPPt2uSDOg","outputId":"51d5fd12-b669-414b-c77c-1555ae22c1ae"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["import os\n","filenames = [\n"," # Let's just analyze two of the transcripts\n"," os.path.join(DATA_DIR, \"4244.csv\"),\n"," os.path.join(DATA_DIR, \"4246.csv\"),\n","]\n","analyzer = TemporalAnalyzer(filenames=filenames)\n","\n","# Same function call\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"-Jf5-6nnSDOg"},"source":["## 📝 Conclusion and Where to Go From Here\n","\n","In this tutorial, we learned how to use `Analyzer` to analyze our data. We learned how to use:\n","- 🔍 `QualitativeAnalyzer` to look at examples of annotations, such as student reasoning.\n","- 📊 `QuantitativeAnalyzer` to look at aggregate statistics on annotations, such as talk time.\n","- 💬 `LexicalAnalyzer` to look at the words used in the data, such as the most frequent words used by the student or the words that distinguish the student from the educator.\n","- 📈 `TemporalAnalyzer` to look at the annotations over time, such as the talk time ratio over time.\n","- 🤖 `GPTAnalyzer` to use GPT to analyze the data, such as summarizing the transcript.\n","\n","Additionally, we learned about the different data entry points for `Analyzer`, such as a single transcript, a directory of transcripts, or a list of transcripts.\n","\n","This concludes the final general tutorial on `edu-convokit`! 🎉\n","\n","\n","What are some natural next steps? If you are interested in seeing examples of these analyzers on **full** datasets, please check out our other tutorials where we apply everything to the:\n","- [NCTE dataset with an elementary math classroom data](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [TalkMoves dataset with a K-12 math classroom data](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [Amber dataset, with 8th/9th grade math tutoring data](https://colab.research.google.com/drive/1Q3anUPcemMils4cz2gwEwDdKCjEdm6T9)\n","\n","For additional tutorials on `edu-convokit`, please refer to our [documentation](https://edu-convokit.readthedocs.io/en/latest/).\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"7H9MIanCo5kS"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.5"}},"nbformat":4,"nbformat_minor":0} diff --git a/docs/source/tutorial_annotation.ipynb b/docs/source/tutorial_annotation.ipynb deleted file mode 100644 index 6747de1..0000000 --- a/docs/source/tutorial_annotation.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"tkZFagfLQul7"},"source":["# Tutorial on Annotating for Education Language Data\n","\n","Welcome to this tutorial on using [`edu-convokit`](https://github.com/rosewang2008/edu-convokit) for annotating your education language data!\n","Annotation is a critical step in understanding your data, and it is important to do it right & consistently across datasets.\n","`edu-convokit` is designed to help you do just that.\n","\n","Annotation is useful because:\n","- It creates descriptive statistics about your data, which can help you understand the data.\n","- It quantifies the language used by your students and educators, which can help you understand the language.\n","- It measures the interaction between the student and the educator, which can help you understand the interaction.\n","\n","`edu-convokit` is designed to support these purposes.\n","\n","## 📚 Learning Objectives\n","\n","In this tutorial, you will learn how to use `Annotator` to annotate your data. Some of the annotations we'll cover include:\n","- Section Link 🔗 Talk Time: We will annotate the amount of time the student and educator talk.\n","- Section Link 🔗 Student Reasoning: We will annotate use of reasoning in the student's speech.\n","- Section Link 🔗 Teacher Focusing Questions: We will annotate the use of focusing questions by the educator.\n","- Section Link 🔗 Conversational Uptake: We will annotate instances of high conversational uptake by the educator.\n","\n","For other annotations, please refer to the [documentation](https://edu-convokit.readthedocs.io/en/latest/) for more information.\n","If you want to add your own annotations, please make a pull request to the [repo](https://github.com/rosewang2008/edu-convokit/).\n","\n","Without further ado, let's get started!"]},{"cell_type":"markdown","metadata":{"id":"3F8CtV9cQul9"},"source":["## Installation\n","\n","First, install `edu-convokit`:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26511,"status":"ok","timestamp":1703932069788,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ErJys4_TQul9","outputId":"da1f1783-49a1-4d70-bf05-ca97a8e3f48c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-s81zucpt\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-s81zucpt\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 8eb087b51abfa36a7031bf1de4e3dc40d8848186\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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(setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for emoji: filename=emoji-1.7.0-py3-none-any.whl size=171033 sha256=3c0f7527379333472f637243ab34d271bb000da7d4ef44284076515a8f8b647e\n"," Stored in directory: /root/.cache/pip/wheels/31/8a/8c/315c9e5d7773f74b33d5ed33f075b49c6eaeb7cedbb86e2cf8\n","Successfully built edu-convokit docopt emoji\n","Installing collected packages: emoji, docopt, num2words, ftfy, clean-text, edu-convokit\n","Successfully installed clean-text-0.6.0 docopt-0.6.2 edu-convokit-0.0.1 emoji-1.7.0 ftfy-6.1.3 num2words-0.5.10\n"]}],"source":["!pip install git+https://github.com/rosewang2008/edu-convokit.git"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":19417,"status":"ok","timestamp":1703932089199,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Ow3SgJIzQul-","outputId":"e8277eb9-9e86-4570-9817-bb50e5d1a8cb"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.\n"]}],"source":["from edu_convokit.annotation import Annotator\n","\n","# We're going to standardize the text with TextPreprocessor.\n","# In this tutorial, we're going to assume you're familiar with TextPreprocessor.\n","# For the tutorial on TextPreprocessor, see: https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK\n","from edu_convokit.preprocessors import TextPreprocessor\n","\n","# For helping us flexibly load data\n","from edu_convokit import utils"]},{"cell_type":"markdown","metadata":{"id":"GJh0MxIsQul-"},"source":["## 📑 Data\n","\n","Let's load the data we'll be working with. We're going to be using a transcript from the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves).\n","\n","We're also going to use `TextPreprocessor` to anonymize and pre-process the data. This is optional, but recommended.\n","\n","For the tutorial on `TextPreprocessor`, please refer to [this tutorial](https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK). Here, we're going to assume you're familiar with `TextPreprocessor`."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":397},"executionInfo":{"elapsed":1138,"status":"ok","timestamp":1703932179178,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"YuXBRDplQul-","outputId":"84c669ed-a4b6-4232-eb79-3b36fc7e4215"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:29:37-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves/Boats%20and%20Fish%202_Grade%204.xlsx\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.109.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 10528 (10K) [application/octet-stream]\n","Saving to: ‘Boats and Fish 2_Grade 4.xlsx’\n","\n","Boats and Fish 2_Gr 100%[===================>] 10.28K --.-KB/s in 0.001s \n","\n","2023-12-30 10:29:38 (14.2 MB/s) - ‘Boats and Fish 2_Grade 4.xlsx’ saved [10528/10528]\n","\n"]},{"data":{"text/html":["\n","
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    SentenceSpeaker
    0I'm wondering which is bigger, one half or two...T
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]
    2What was it? Two thirds?[STUDENT_1]
    3It would be like brown or something like that.[STUDENT_0]
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    SentenceSpeakertalktime
    0I'm wondering which is bigger, one half or two...T54
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]12
    2What was it? Two thirds?[STUDENT_1]5
    3It would be like brown or something like that.[STUDENT_0]9
    4Ok[STUDENT_1]1
    \n","
    \n","
    \n","\n","
    \n"," \n","\n"," \n","\n"," \n","
    \n","\n","\n","
    \n"," \n","\n","\n","\n"," \n","
    \n","
    \n","
    \n"],"text/plain":[" Sentence Speaker talktime\n","0 I'm wondering which is bigger, one half or two... T 54\n","1 Try the purples. Get three purples. It doesn’t... [STUDENT_0] 12\n","2 What was it? Two thirds? [STUDENT_1] 5\n","3 It would be like brown or something like that. [STUDENT_0] 9\n","4 Ok [STUDENT_1] 1"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["annotator = Annotator()\n","\n","# The talktime values will be populated in this column\n","TALK_TIME_COLUMN = \"talktime\"\n","\n","df = annotator.get_talktime(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," analysis_unit=\"words\",\n"," output_column=TALK_TIME_COLUMN\n",")\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"IhrfyJVJQul-"},"source":["🎉 We can see with a single function call, we've added our first annotation -- `talktime` -- to our data!\n","\n","All the other annotations work in a similar way. Let's continue!"]},{"cell_type":"markdown","metadata":{"id":"CRCqQlZjQul-"},"source":["## 📝 Annotating Student Reasoning\n","\n","Next, let's annotate the student's reasoning.\n","Under the hood, we're using a model trained on student's math reasoning from [prior work](https://github.com/ddemszky/classroom-transcript-analysis).\n","So...\n","\n","💡 Note:\n","- This model is trained on math reasoning, so it may not work well on other subjects.\n","- This model will run slow on CPU, so we recommend using a GPU. If you have a GPU, this library will automatically use it.\n","- This model is trained on _student_ utterances. `edu-convokit` has a simple way to only annotate student utterances, which we'll see below.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":400,"referenced_widgets":["b498c129c0e44dff81191cc677cb9aa8","65b4483312c44f00ab70e1da216bd2b2","a1f36fc2fb364873aebb933943d147ff","bb0378211ba5450c90958820777491c8","c40c55b78e9245e68d1368efd2116b55","6297e6ceff8e42fcbe39eb8c2442aad7","621b899ab7904e1eb1b90bb8ab56bcf5","ab2c6f60eb7f468eb1acb40902adb01a","f38caab569ea40b593a79bdb0ff9c01b","9025e414ce274dd69d9d63bee970479b","b7bb0d6c8ae84f39b2b2336c9e7caf39","93b4cf1453b34c899fe2f49084b580a0","01638eb1127f4d6eacc0376d0a88b306","f04988b571234ea59702b12f090856e4","b5ee3f1c61e14eddb13bc0f500898c76","23af1474081f4e4fb04ca78fdd4c999e","cc7a2fc33e704c93a89a3833c2325212","e72d8293f91242dd905d16db75a8f861","0df67a54af9c454cb15b3bcb678f83f2","2cacb213ca0a4e86b5bc9ded5859651d","e659ac12ac4843df87a9e4c031d865d7","8a85e58a32cb4c4d8d8fa35d53775da2","9d57e99d888a44afb0e5cc20e435e152","ac0f91a4e0ef4a1ea6d9e71e4380a0b4","48b80bb0d53f42f8ac42cd5c7f7e9e44","59f49da854f44be0a8ff1ed35c8b565b","c171a76161f0423a9d1e49bbb5a2518d","0f6b499a447241d98cc68371f6b1e3be","6db7b439727f4be6af017421b6327307","907f3a585f2f44fa915e7522bce75aa6","fe4192f5366843bc9e61080c3873b567","9ccfbfb1ffcb4a41a51e2b4b09582cea","307e7a54861743c6aac2beac39f9bd20","72468ac03d5742a4ac92bc87eeda45f2","ba93e5464871467f98153e0d2109b201","45c76ab2cbba48719bc7ed65892b8241","ebb6c044743e4f03a6c67e3831f75190","d05726ae49d646a5b3c261c0a4563aaa","09ead46f1b0a43bda66b55d17b5fed6f","22df55bbc0ea40c6b822f9968d357b28","ab7f9724e5944d9090631b430feb6718","fe01285359134618aada2ca8b5b2b027","c6f087be78f246028707f2c206c880e1","c8b15823ffd3486a8c26f70812df92d1","80c3d98985564c63a0e865fc35237bed","84c3e028066544edb4072f1b751f4199","45a1a278d80244aba54bae287165295a","f0bd2f00d42245bc98c0d6afeb4cacfb","9e67c4447efa473bbe9b16099367d14e","1054c4f96f0c4d02b227b89688d6e219","07dd9ef8633143efaf919e09cd63188c","19fad3225a7d4a0fb72b08418dc67f01","4360e2343dec464b9d0ac4b27843759e","6a56e72a1a284b078220b67fbf5a77af","42bd78b0bc7245ff9468deba2211303f"]},"executionInfo":{"elapsed":35372,"status":"ok","timestamp":1703932221823,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"aHNmmI_CQul-","outputId":"87846a85-eefe-43b7-987c-aca447013bf8"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Note: This model was trained on student reasoning, so it should be used on student utterances.\n"," For more details on the model, see https://arxiv.org/pdf/2211.11772.pdf\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"b498c129c0e44dff81191cc677cb9aa8","version_major":2,"version_minor":0},"text/plain":["tokenizer_config.json: 0%| | 0.00/429 [00:00\n","
    \n","\n","\n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","
    SentenceSpeakertalktimestudent_reasoning
    0I'm wondering which is bigger, one half or two...T54NaN
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]120.0
    2What was it? Two thirds?[STUDENT_1]5NaN
    3It would be like brown or something like that.[STUDENT_0]90.0
    4Ok[STUDENT_1]1NaN
    \n","
    \n","
    \n","\n","
    \n"," \n","\n"," \n","\n"," \n","
    \n","\n","\n","
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    \n","
    \n"," \n"],"text/plain":[" Sentence Speaker talktime \\\n","0 I'm wondering which is bigger, one half or two... T 54 \n","1 Try the purples. Get three purples. It doesn’t... [STUDENT_0] 12 \n","2 What was it? Two thirds? [STUDENT_1] 5 \n","3 It would be like brown or something like that. [STUDENT_0] 9 \n","4 Ok [STUDENT_1] 1 \n","\n"," student_reasoning \n","0 NaN \n","1 0.0 \n","2 NaN \n","3 0.0 \n","4 NaN "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["# The reasoning annotations will be populated in this column\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","\n","df = annotator.get_student_reasoning(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," output_column=STUDENT_REASONING_COLUMN,\n"," # Since this model is only trained on _student_ utterances,\n"," # we can explicitly pass in the speaker names associated to students.\n"," # It will only annotate utterances from these speakers.\n"," speaker_value=known_replacement_names,\n",")\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"PG8J_g_iQul-"},"source":["🎉 Great! We've added our second annotation -- `student_reasoning` -- to our data!\n","\n","💡 Note:\n","- `student_reasoning` is NaN for the educator's utterances as desired.\n","- Otherwise, for the students, `student_reasoning` is either 1.0 or 0.0. 1.0 means the model thinks the student is using reasoning, and 0.0 means the model thinks the student is not using reasoning.\n","\n","💡 Are you wondering whether there's an easy way to **view examples** of the student's reasoning?\n","\n","`edu-convokit` has a simple way to do this with our `Analyzer`s. This will be covered in the tutorial on `Analyzer`s: [link](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe).\n","For now, let's continue annotating!\n"]},{"cell_type":"markdown","metadata":{"id":"jTx57LEWQul-"},"source":["## 📝 Annotating Teacher Focusing Questions\n","\n","Let's annotate the educator's use of focusing questions.\n","Under the hood, we're using a model trained on focusing questions in math classrooms from [prior work](https://github.com/sterlingalic/funneling-focusing).\n","So...\n","\n","💡 Note:\n","- This model is trained on math classroom data, so it may not work well on other subjects.\n","- This model will run slow on CPU, so we recommend using a GPU. If you have a GPU, this library will automatically use it.\n","- This model is trained on _teacher_ utterances. `edu-convokit` has a simple way to only annotate teacher utterances which is similar to the one we saw above for student utterances."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":400,"referenced_widgets":["ba517f6122364672b315aa24a2634661","2d77343195954f7ebeed13c96bef129f","a5c805ee43ef409497d77176166b733e","7e0fa7d7425f497fb4bffa179aa58f42","507061a7fce8407395df923b3835a459","a9502a1f190549c4b153c6fff8ffba52","b0d3068009d64075b8b5933554e23f51","e09d85fad1ec4a5895de00cb27460bfd","3271f0583be64fbaa6e1763e8ba5a8e9","2f84e834e9804d14b85b14ce99b0f1d9","65365d4c95ca4534adb67c3641089e9c","baaaff9d41a64a63aab3812f21bc1a75","a7b3fa02c488432bb5abf6accea1a1a0","c52643ecdfb643c4a8a3ccebbbe6aba6","cd1440cd012247038c48473083354872","e95c83bac2864b45b5055221ccd3fce1","8b20866690fb4c7891cd0ff5a39ae75a","e673e3f41a75402e857135cd1d9487f6","644aff0ba7e840da8be9cb12ef9d065d","ff03f47ff7174bc2a026001e8f14e98c","6b5cc4a88c3245b3885097b118bde164","03efb2afce3f49a18af1d7aa47dd5cd9","83481c4e1e5b476e96c63df634866e57","22326af4c10a497ab5e523c58b2deae8","38961b46b75e44b1b33f76072007cd24","6d572c05837c4fc8bee3ce64a5bbe5e1","6d252ef949884fc29207c80f6d27b346","a6d5de84bc5b438ca3a80143e0548569","8d947a3e32e6451e98a9748dc0412a06","efbfe6f1498d4f23aec3a28c038a9ceb","2a513a04efed495ba91634390bc5a23a","7b6a03d0832342478974e7dd6eb9ba93","9408971f972043f7937cde0a6434ec72","54b34d286b774fd6bbaeddbbd80cb205","d46cc2d8bd554bc3a07371d7adb7a8b3","fca29d97559645bf8662202895ec194a","95d1c637afa3438dba8dc62f05c8418c","39cce37df81d48bfbd61c4e2695771e3","38395c616fe240978c50e840bdf6fdc6","40243b24bff04db3b527506f6176840a","9fd09b82c0994b9db3ca79f16462144a","32e3719b4b1b46fb98b49923d143e95e","dbca212ddc0647858ba9d7547aa9de08","4a9eeef234684b709d3aa549ecc7fd0e","7a36e29432764cf3a0f2e7805a988f7b","d4a0d8491bbb4951a3c7a5121ab63134","f91dabe95efb48ea86664cef13f9e023","1b15cfd57d7c484c84ffdda41914cbaa","6a95104da66b44ea91664af379ff721f","f09a537483ae46dabe047e2d8bc54863","219cdc6a2b614e5fac57585d7292b037","0ad7dc9fffe74600969e05a108e54a74","5a859cd96be3482d88c2d73fc13909f8","fd752ede9296422c9ca049549e0e323c","1f3f0f09eb964921a3df59099dc98c14"]},"executionInfo":{"elapsed":31356,"status":"ok","timestamp":1703932257256,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"TGeIj2g1Qul-","outputId":"bbaff2a7-c67b-49e6-f89e-1b9155f1ccba"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Note: This model was trained on teacher focusing questions, so it should be used on teacher utterances.\n"," For more details on the model, see https://aclanthology.org/2022.bea-1.27.pdf\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"ba517f6122364672b315aa24a2634661","version_major":2,"version_minor":0},"text/plain":["tokenizer_config.json: 0%| | 0.00/443 [00:00\n","
    \n","\n","\n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","
    SentenceSpeakertalktimestudent_reasoningfocusing_questions
    0I'm wondering which is bigger, one half or two...T54NaN0.0
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]120.0NaN
    2What was it? Two thirds?[STUDENT_1]5NaNNaN
    3It would be like brown or something like that.[STUDENT_0]90.0NaN
    4Ok[STUDENT_1]1NaNNaN
    \n","
    \n","
    \n","\n","
    \n"," \n","\n"," \n","\n"," \n","
    \n","\n","\n","
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    \n","
    \n"," \n"],"text/plain":[" Sentence Speaker talktime \\\n","0 I'm wondering which is bigger, one half or two... T 54 \n","1 Try the purples. Get three purples. It doesn’t... [STUDENT_0] 12 \n","2 What was it? Two thirds? [STUDENT_1] 5 \n","3 It would be like brown or something like that. [STUDENT_0] 9 \n","4 Ok [STUDENT_1] 1 \n","\n"," student_reasoning focusing_questions \n","0 NaN 0.0 \n","1 0.0 NaN \n","2 NaN NaN \n","3 0.0 NaN \n","4 NaN NaN "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# The focusing questions annotation will be populated in this column\n","FOCUSING_QUESTIONS_COLUMN = \"focusing_questions\"\n","\n","df = annotator.get_focusing_questions(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," output_column=FOCUSING_QUESTIONS_COLUMN,\n"," # Since this model is only trained on _teacher_ utterances,\n"," # we can explicitly pass in the speaker names associated to the teacher.\n"," speaker_value=['T']\n",")\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"8XK4ZHg7Qul_"},"source":["🎉 Great! We've added our third annotation -- `focusing_questions` -- to our data!\n","\n","💡 Note:\n","- `focusing_questions` is NaN for the student utterances.\n","- Similar to before, `focusing_questions` is either 1.0 or 0.0. 1.0 means the model thinks the educator is using a focusing question, and 0.0 means the model thinks the educator is not using a focusing question."]},{"cell_type":"markdown","metadata":{"id":"jpXVgdFIQul_"},"source":["## 📝 Annotating Conversational Uptake\n","\n","Let's annotate the educator's conversational uptake of the student.\n","Under the hood, we're using a model trained from [prior work](https://github.com/ddemszky/conversational-uptake).\n","It measures whether the educator builds on the contribution of the student's utterance.\n","\n","So...\n","\n","💡 Note:\n","- This model will run slow on CPU, so we recommend using a GPU. If you have a GPU, this library will automatically use it.\n","- This model is trained on teacher utterances following student utterances. `edu-convokit` has a simple way to only annotate these teacher utterances which is similar to the function calls we saw before.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":281,"referenced_widgets":["f391db4cd84b4824b3aefbbdf9e89e49","fa2b3523edc643e6aacf294a3d17f975","662c005df3044164a86879c1285d4634","7efaabb625b84523942d7a6a158a5397","d9ca2ffd1d864148b32bba97809225eb","5195985e5fd84185b9bf74b73fe00ae6","2bdf27bb6f58409a8e1a348cb6bb87dc","e399e03dafd44fafa07fbeee05040e29","7ea0910eb50549feb0f1ec2684c5c62e","1c48e61ba92b411eb86b344475caa67b","2fd336f3e5f74626822462f63a144a7b","2e1ac0e3114e4bc89fa3c8b5cd681d34","56dcda8f819f4d1cbb73498328fc29da","1e4d7d8fa2ad40f7bcd734cac4d8f918","7b46e3d597624645aa95dab93a62b11b","669f9ea5fbc44b1a90f4f23371d3a3f4","43e8669e08e44c49975c903995e4c7b2","73042b370e354153a06dec2c1da989cc","95df46cf71cb4b1abb952e37db5d9b81","04ec5f5de26046f9837d6897afb46e71","e0917120f96c40a3aae53517a6a34453","228d988379ee4f39bbf7de8f238a21d8","d0b3cf8f953e44b4bf991851573c9b75","42cf702d413b476f9874634a8e64fdcb","1fae955ff2524bc5ab83a527c071676a","beb1f5caa1f748caa03c9a50d5fa2e99","3062fd004213433883961df72d959129","6adc65375461463aa77f5be0cff206c0","a128d671d27d46369e13bb291f69d3f9","cb1aebe61e014b148c72f43f257a4a37","3cf50235ec1743fea0ac8de5861d9e1a","83c6982d84ba4800934862113ab8ba4e","99369c4a7d2446c09fb14093d164b406","1ed87af90d734a4796fda6085eb08a97","46b39d17e33f4d9eb8dc47be95846eeb","afe2a61fed624fe2843a59abb7b69aef","2e976ac6861246d7880857a666adb63f","706d65d6c6cd41b595ccf3e83a94bdff","b4032d0fe796450e8697364194d98b88","d4f7903534834d808d34b164f745afe1","8261daed1a184be2a08ab47e04e61bbf","7bbfdde00b394382a0e13bec21dcadd0","26cc55ab692d45759376cef9898a8b07","e5df7a663d624bca8443e4e040fdd64b","5a0a99b11b694fc5bd2bdc6ef6bf4909","682c28862a624dcb99ab3b35851fe3e6","92389dcacedf48fd8df564784d4c5abb","62d4f80d9a6b45679174ae52fa0fa555","9782ae0213f74183b049c2b05e82083c","360f9e67f367423c8bf74433d92005c8","efab379638bf49aba3b9dc2a6310f36d","b7bca0c9dd3d4c3ca17d0709d69bde13","62a081bfde68472fb25fddb1856345c3","ae77ee3b6149496f9e9063e85711ca15","fa53aa83f8544f9191a539957b3805ff","d36ff1170f4b46b59622718e36197b31","6515923aefa042feac0318dc66111874","a31d2cd3f39643f78fb4c75a9e9e8448","386f24a73da44170aac2690ce4a0123a","1f5cf0cb2d624e2db4f4e0d7dcfd0586","f49d48cf1c6a497aa66c5adff086bbea","15afa9db892345269f84b1f30e8f032a","be10389831194348b7a4ef1922b4c048","0bf259e1b0ba47a592723bd4b4f0cf96","901de4a180df447a977b4f655a70318d","5f7730b6dfd8459f9a7b883ff9821970"]},"executionInfo":{"elapsed":32460,"status":"ok","timestamp":1703932294276,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"UbGtELCFQul_","outputId":"1d4a27f0-dce6-4cb6-d3cd-f36f118574ef"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Note: This model was trained on teacher's uptake of student's utterances. So, speaker1 should be the student and speaker2 should be the teacher.\n"," For more details on the model, see https://arxiv.org/pdf/2106.03873.pdf\n","WARNING:root:Note: It's recommended that you merge utterances from the same speaker before running this model. You can do that with edu_convokit.text_preprocessing.merge_utterances_from_same_speaker.\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"f391db4cd84b4824b3aefbbdf9e89e49","version_major":2,"version_minor":0},"text/plain":["tokenizer_config.json: 0%| | 0.00/28.0 [00:00\n","
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    SentenceSpeakertalktimestudent_reasoningfocusing_questionsuptake
    0I'm wondering which is bigger, one half or two...T54NaN0.0NaN
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]120.0NaNNaN
    2What was it? Two thirds?[STUDENT_1]5NaNNaNNaN
    3It would be like brown or something like that.[STUDENT_0]90.0NaNNaN
    4Ok[STUDENT_1]1NaNNaNNaN
    5We’re not doing the one third, we’re doing two...[STUDENT_0]140.0NaNNaN
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Now take six of the ones \n","13 Yeah, I know, and put ‘em up to there, and tha... \n","14 Now take six of the ones Which is bigger? \n","15 One half \n","16 I think one half is... \n","17 Yes, [STUDENT_0] and [STUDENT_1]? \n","18 What do you have? \n","19 Well \n","\n"," Speaker talktime student_reasoning \\\n","0 T 54 NaN \n","1 [STUDENT_0] 12 0.0 \n","2 [STUDENT_1] 5 NaN \n","3 [STUDENT_0] 9 0.0 \n","4 [STUDENT_1] 1 NaN \n","5 [STUDENT_0] 14 0.0 \n","6 [STUDENT_1] 18 0.0 \n","7 [STUDENT_0] 2 NaN \n","8 [STUDENT_1] 21 0.0 \n","9 [STUDENT_0] 9 0.0 \n","10 [STUDENT_1] 35 0.0 \n","11 [STUDENT_0] 10 0.0 \n","12 [STUDENT_1] 11 0.0 \n","13 [STUDENT_0] 30 0.0 \n","14 T 9 NaN \n","15 [STUDENT_2] 2 NaN \n","16 [STUDENT_0] 5 NaN \n","17 T 4 NaN \n","18 [STUDENT_0] 4 NaN \n","19 [STUDENT_1] and [STUDENT_0] 1 NaN \n","\n"," focusing_questions uptake \n","0 0.0 NaN \n","1 NaN NaN \n","2 NaN NaN \n","3 NaN NaN \n","4 NaN NaN \n","5 NaN NaN \n","6 NaN NaN \n","7 NaN NaN \n","8 NaN NaN \n","9 NaN NaN \n","10 NaN NaN \n","11 NaN NaN \n","12 NaN NaN \n","13 NaN NaN \n","14 0.0 1.0 \n","15 NaN NaN \n","16 NaN NaN \n","17 0.0 0.0 \n","18 NaN NaN \n","19 NaN NaN "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df.head(20)"]},{"cell_type":"markdown","metadata":{"id":"YdSyylvvQul_"},"source":["🎉 Great, we finished our last annotation of the tutorial!\n","\n","With these annotations, we can now do some analysis on our data.\n","\n","We can save our annotated data to a file which we'll use in the next tutorial on `Analyzer`s: [link](TODO).\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1zspJNWjQul_"},"outputs":[],"source":["df.to_csv(\"annotated_data.csv\", index=False)"]},{"cell_type":"markdown","metadata":{"id":"Pp_W7hJXQul_"},"source":["## 📝 Conclusion and Where to Go From Here\n","\n","In this tutorial, we learned how to use `Annotator` to annotate our data. 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Or, you can add your own features by making a pull request to the [repo](https://github.com/rosewang2008/edu-convokit).\n","- You can analyze your data with [`edu-convokit`'s `Analyzer`](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe).\n","- For a tutorial on `Analyzer`, please refer to [this tutorial](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe).\n","- For the documentation on `Analyzer`, please refer to [this documentation](https://edu-convokit.readthedocs.io/en/latest/analyzer.html).\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"XV4_KzKFpdJv"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 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diff --git a/docs/source/tutorial_ncte.ipynb b/docs/source/tutorial_ncte.ipynb deleted file mode 100644 index 7248078..0000000 --- a/docs/source/tutorial_ncte.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"pmM0zX-SW4M4"},"source":["# Tutorial on `edu-convokit` for the NCTE dataset\n","\n","Welcome to the tutorial on `edu-convokit` for the [NCTE dataset](https://github.com/ddemszky/classroom-transcript-analysis). This tutorial will walk you through the process of using `edu-convokit` to pre-process, annotate and analyze the NCTE dataset.\n","\n","If you are looking for a tutorial on the individual components of `edu-convokit`, please refer to the following tutorials to get started:\n","- [Text Pre-processing Colab](https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK)\n","- [Annotation Colab](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw)\n","- [Analysis Colab](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe)\n","\n","This tutorial will use all of the components!"]},{"cell_type":"markdown","metadata":{"id":"fxcdKqHeW4M6"},"source":["## Installation\n","\n","Let's start by installing `edu-convokit` and importing the necessary modules.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":16955,"status":"ok","timestamp":1703933634344,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"EHd_2SRNW4M6","outputId":"e21ff79d-1a0a-4883-9ab1-84d1b809fd6a"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-ncsfguml\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-ncsfguml\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 5c1128c8f94d7574bc61cc56f29ce64bdca4ae30\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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(setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for emoji: filename=emoji-1.7.0-py3-none-any.whl size=171033 sha256=0a5d69f4ac14f376271ac4011aefc99eb821dcd5b2584b28eefd54bca2b8cfc0\n"," Stored in directory: /root/.cache/pip/wheels/31/8a/8c/315c9e5d7773f74b33d5ed33f075b49c6eaeb7cedbb86e2cf8\n","Successfully built edu-convokit docopt emoji\n","Installing collected packages: emoji, docopt, num2words, ftfy, clean-text, edu-convokit\n","Successfully installed clean-text-0.6.0 docopt-0.6.2 edu-convokit-0.0.1 emoji-1.7.0 ftfy-6.1.3 num2words-0.5.10\n"]}],"source":["!pip install edu-convokit"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":14881,"status":"ok","timestamp":1703933649222,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"x0Q58WdEW4M7","outputId":"cc67e4d1-0930-46f8-cc6a-ad3c19164f04"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.\n","[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Unzipping corpora/stopwords.zip.\n"]}],"source":["from edu_convokit.preprocessors import TextPreprocessor\n","from edu_convokit.annotation import Annotator\n","from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer,\n"," GPTConversationAnalyzer\n",")\n","# For helping us load data\n","from edu_convokit import utils\n","\n","import os\n","import tqdm"]},{"cell_type":"markdown","metadata":{"id":"plFdw3csW4M7"},"source":["## 📑 Data\n","\n","Let's download the dataset under `raw_data/`.\n","Note we're only download a subsample of the NCTE dataset for this tutorial; this cuts down the annotation time.\n","If you would like to annotate the entire dataset, feel free to upload the entire dataset to this Colab!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":701,"status":"ok","timestamp":1703933659477,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"8w8_hOq8W4M7","outputId":"8e8ca0e5-c4a9-4a40-8f6a-9eebe0e10333"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:54:18-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/ncte.zip\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 346717 (339K) [application/zip]\n","Saving to: ‘ncte.zip’\n","\n","\rncte.zip 0%[ ] 0 --.-KB/s \rncte.zip 100%[===================>] 338.59K --.-KB/s in 0.03s \n","\n","2023-12-30 10:54:19 (9.57 MB/s) - ‘ncte.zip’ saved [346717/346717]\n","\n"]}],"source":["# We will put the data here:\n","DATA_DIR = \"raw_data\"\n","!mkdir -p $DATA_DIR\n","\n","# We will put the annotated data here:\n","ANNOTATIONS_DIR = \"annotations\"\n","!mkdir -p $ANNOTATIONS_DIR\n","\n","# # Download the data\n","!wget \"https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/ncte.zip\"\n","\n","# # Unzip the data\n","!unzip -n -q ncte.zip -d $DATA_DIR\n","\n","# Data directory is then raw_data/talkmoves\n","DATA_DIR = \"raw_data/ncte\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dATniCmtW4M7"},"outputs":[],"source":["# We'll set the important variables specific to this dataset. If you open one of the files, you'll see that the\n","# speaker and text columns are defined as:\n","TEXT_COLUMN = \"text\"\n","SPEAKER_COLUMN = \"speaker\"\n","\n","# We will also define the annotation columns.\n","# For the purposes of this tutorial, we will only be using talktime, student_reasoning, and uptake.\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","UPTAKE_COLUMN = \"uptake\""]},{"cell_type":"markdown","metadata":{"id":"hGYZAQzKW4M7"},"source":["One thing that will be important is knowing how the teacher/tutor and student are represented in the dataset.\n","Let's load some examples and see how they are represented."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":223},"executionInfo":{"elapsed":257,"status":"ok","timestamp":1703933669958,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"KrBZyToSW4M7","outputId":"764874f7-b558-4251-ec99-f286e27f8349"},"outputs":[{"name":"stdout","output_type":"stream","text":["['teacher' 'multiple students' 'student']\n"]},{"data":{"text/html":["\n","
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    textspeakertalktime_wordsmath_densityuptakestudent_reasoningfocusing_questions
    0Okay. I think it’s working. Alright, so the ...teacher170NaNNaN0.0
    1Yes.multiple students10NaNNaNNaN
    2Student M, you don’t have your homework?teacher70NaNNaN0.0
    3No.student10NaNNaNNaN
    4Did you hand it in?teacher50NaNNaN0.0
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    \n"],"text/plain":[" text speaker \\\n","0 Okay. I think it’s working. Alright, so the ... teacher \n","1 Yes. multiple students \n","2 Student M, you don’t have your homework? teacher \n","3 No. student \n","4 Did you hand it in? teacher \n","\n"," talktime_words math_density uptake student_reasoning focusing_questions \n","0 17 0 NaN NaN 0.0 \n","1 1 0 NaN NaN NaN \n","2 7 0 NaN NaN 0.0 \n","3 1 0 NaN NaN NaN \n","4 5 0 NaN NaN 0.0 "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["files = os.listdir(DATA_DIR)\n","files = [os.path.join(DATA_DIR, f) for f in files if utils.is_valid_file_extension(f)]\n","df = utils.merge_dataframes_in_list(files)\n","print(df[SPEAKER_COLUMN].unique())\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"2c7-JGp4W4M8"},"source":["There are two speakers: one is the teacher and the other is the student/multiple students.\n","Let's defined these variables as well."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ykqN9avUW4M8"},"outputs":[],"source":["STUDENT_SPEAKER = ['student', 'multiple students']\n","TEACHER_SPEAKER = 'teacher'"]},{"cell_type":"markdown","metadata":{"id":"3LT7a6syW4M8"},"source":["## 📝 Text Pre-Processing and Annotation\n","\n","Let's first preprocess and annotate the dataset with `edu-convokit`. The following section will:\n","- Read each file in the dataset and preprocess it using `edu-convokit`'s `Preprocessor`.\n","- Then, annotate the file using `edu-convokit`'s `Annotator` for talktime, student reasoning and uptake.\n","- Finally, save the annotated file under `data/annotated/`.\n","\n","Let's get started!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["478afdc591fe4717b816d4b8999b20f9","438e1e3248f840cc80f868bdc9d6f055","b481a2dd11ec4b3492fa630d54aeec5e","6098c18d2e19483f80f674d7c3da495d","c72001496dd34958a49e871566ceda21","727b4b33e2194d2490ecaf9ee5c55755","4975d1aad66f42f2b8d327cfb64815f6","f4c4b907198e460a8388132636e0bf3f","8bd6b18a737443bb95c5203eb3543049","154686b7a0814306b14f41c546528814","9ddbc9ebb4174aeaade38c8a04fa79f3","32567c294e094c5a92fe985acabdaef4","ee114eb89811467b8027be7f094e8c46","d6714101182048619cca0346ad386f1b","98983133bd48476f91c3ce46693a39d0","ee0ab175bea84a35a999011696045ac7","f1fb0968b90b4e719f8a2ed200275cda","d12e9c2b17a34fd5812174abee025196","56c2d940a7fa42faa25edaf380db5d7b","4dd893dde3c84322ae8eaaa5fc8509a5","9f80803f4ba64b01aada90f268f3ee97","15e6c40a84154e9eb2c18c2624e60e91","6c35b75aaa3746cdbce04bfdf653904e","db2330f69fa645a3beeacd333abff97b","3eb38197657a4443bc7b16ed0dbeb052","4a7397ce40cf4875adb95ee0c6338cff","97caabac0ca8435ab931b1f19efe6a73","7ad12fd270234f84874b096cd09b284d","c3d0bcfa22ad4b30a93ed9f4c495dcd8","27370b9b75594bc0adebd5c660d1ce06","a016b13faf5240c9a6df8bc37b984d82","7b2ce202138d469db770b752cc58be91","6c60afe2fe5a4fe49684139c197ef309","9b84a1889c894cc78623ba9d213982b4","01a9cd65ca10474382117fb832734377","277b6ad600474bc8a7746f6aaca4a5b1","11fbcb21e8c94691aef35f1a85f8b43c","822aeacfa582438eb2089d3f54838d5e","37f1737da8904f10b1ebe5626a13120e","ed70e63306ca438da9b4b6b8c796372f","2d039f0ecd5d4ed7900ec55c5fe670c2","6e78f68175bb43cf9282aa8f0e0e7d9a","18db32367fcc4501ba2b655704dc6adb","88362c746da243d3b6eea7df74b78908","c521dae35d204f0ab7e7cdac598370b2","8d7e519f388349b3bc7f73c9ee48fe2a","88bc713728604916959a88910a8be97f","d8d938b4f27d470a9ec1ba28f0610e6b","cd23fcf16be1428f8314531ffadda28c","96c8dfd124f64684858a903a83a88ed4","ead0c7c4a61b4907ad090e80416d9061","7a620997d037457da80aeae328f64e16","f9e1db47741b40c682fe51e6f4f54400","8a674a85e5e24fb8a5862d28258be5ee","d848376790fe4f40949741b855847df0","f4c6112a4afd4ff285b883ca8eacdefe","22d19190e0b449a097da103386730120","d46c6d4bfd6c48d881294365737c2b27","52cded88639a447c8fb7466f53825214","46923b22da424156b76a02c73c9fb032","77b8d071e0cb47e2820f4862e8e1c848","fde34952d6ca455793bd663d4b43ed15","70013f4b11cd4b8f8e067695c4dfa498","8c321b4c74ad4c6ea8d3a70dfbd63468","df3f5f67947b45bf9707ec5c5d3bd41f","52f879cff0f44d799ae44f0ee06c6c40","eb4a7c9b210443f68fe1279b4010aacd","36886c8d78fc41b699cc59f374a7e26f","256f7cc6524b48888acf7edb88ab1c49","23d7df6808ea4c55ac1763f5d137d60c","ac646a3905434b9cb677f4ec7f61c2be","3b3637d8890e4fb6afc4cef9065d5cfa","a8af9b08015f427fa9c3e656a77c3de2","820b13ddd89049ac85f37fe1c962f6e7","211012efbf094cca8ae6bb08ca007918","7692175b1de846f2a3a27482d905bcaf","47e51cf393fb430e8e378d97d24e5dfc","3522036c734a46168ea54fa4be48123d","95e6c262155b48f6af185730b0c7102a","c6f210a5df554b9e924761dd50107270","bde2f459e85a48fea8bd9a59c84444b8","20e0ec7162204d5c88790c6ea8732e7b","815fded1286240c7afc44eea95078a5b","1bc2effe5f294e0cbde214d446c44ab6","0bc4afe16cd84660978efe9577a5c4cc","3d61070309294c6688f0b85bdd1b5a98","c7febd7f46f94beba741a8c99293567e","43955496caaf41ecbf5dc0ce4369ea3d","23117cdc20964a93b70a9ca146021d29","ce8d54da8e274079bd7f8a5c94608030","ed59d6932c014175831a797ac2da59b2","185f516c843d48ebbc142509345aed80","e422cd4bfd484eb89b5de04b74d60728","8ff6e25179da4f89b2e7a2967b976c82","e35a28ded01748e581d8916ac39f3fe1","10688d2331974877982f7c6c09651f76","3e1dfcc0cdee4d288cea8d307a576068","d0d883d301214f90bae1a9330fabf5c7","e2d74aa0c1e54c37a2245800449bdae0","58482a44819d42d1a8a790df1b9a9e72","a816d28763464753890859222f89e234","83663ebaa26647c3911d29f9d147bac8","a0e799679d9140969e8c62f2e3f88b7d","9f08ae117c214863ad339d9b1e56e7ad","8917378aff6f427a82f2285bbe304312","ae089ab13bf448d59a645fc7cb370762","783cd9ea44e9410f972aa7151392b13e","e570bf1c7c434b978129dbdfb25467a5","057b1a08111544f2bdbcd1b7c30a9477","39fad1ff23b445848d2ed756cbb16940","4658d8da259e432fa0dd9bd5d9d277b2","981363f695cc4feeabcd83310d782420","6a9901898f694198a8fc889fd9d7f97c","f1eb2bdaee9d4c5bb447ead2cfc3c9ba","4c0f42714122472aa5eec2f45d493f67","7857c7de78e3449c927675769a0e17d2","5942ef7bf09d4c3785f2a1d2858a3591","f6e8f19f1e714bc1832356b54df1c769","0081e98c727a459d9e0e46aa33ccc10b","73aeeb41cbd947c9b5eba7b986975237","aa8700ccfc2d4f1aa9a9cc5057cbba7b"]},"executionInfo":{"elapsed":402968,"status":"ok","timestamp":1703934077738,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Z7eIPkwqW4M8","outputId":"13541c6d-dab5-4a47-d783-66131eabb490"},"outputs":[{"name":"stderr","output_type":"stream","text":["\r 0%| | 0/29 [00:00> teacher: Okay. I think it’s working. Alright, so the first thing – everyone got their homework back, correct?\n","\n","talktime: 17\n",">> teacher: Okay. That could be your problem. Student [G], do you have a question? Student N, sit up.\n","\n","talktime: 17\n",">> student: A year has 52 weeks so 52 times 4 equals 52 times 2 plus 52 times 2.\n","\n","talktime: 1\n",">> multiple students: Yes.\n","\n","talktime: 1\n",">> student: No.\n","\n","talktime: 1\n",">> student: Yes.\n","\n","talktime: 7\n",">> teacher: Student M, you don’t have your homework?\n","\n","talktime: 7\n",">> student: [Inaudible]. She just didn’t really – oh.\n","\n","talktime: 7\n",">> student: 60 times 11; and 3 times 11.\n","\n"]}],"source":["# We're going to look at examples from the entire dataset.\n","qualitative_analyzer = QualitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Examples of talktime. Will show random examples from the dataset.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TALK_TIME_COLUMN,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703934084491,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Bf9c-iY2W4M8","outputId":"4827a8ad-9392-4c76-8d02-afdeffbbf3be"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> student: You could – so 76 times 10 is double the final problem so you –\n","\n","student_reasoning: 1.0\n",">> student: They all will add up to a whole.\n","\n","student_reasoning: 1.0\n",">> student: Because I know that three-sixths is equivalent to one-half in fractions.\n","\n"]}],"source":["# Examples of student reasoning. Let's look at positive examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":113,"status":"ok","timestamp":1703934086073,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"upy6Io5PW4M9","outputId":"7ef617ea-10e9-4a3b-8fe1-c7ee024d8dc0"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n",">> student: No. This is Student D.D.; this is Student D.C.\n","\n","student_reasoning: 0.0\n",">> student: Do you want me to go that way?\n","\n","student_reasoning: 0.0\n",">> student: I did 63 times 10 equals 630 and then 63 to that equals [Inaudible] and then I got, I got 693.\n","\n"]}],"source":["# We can also look at negative examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=0.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703934086891,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"bd-Zn76jW4M9","outputId":"fda8e3cf-8184-4451-f915-dfe19c6f1171"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","student: No. This is Student D.D.; this is Student D.C.\n",">> teacher: Okay, give Student D.C. his. And what are you on Student D?\n","\n","uptake: 1.0\n","student: Can I leave my desk?\n",">> teacher: You may go get it. Student A, can you please get Student N’s folder out of her desk, and Student J, can you please turn off a light.\n","\n","uptake: 1.0\n","student: 63 times 10 is 630.\n",">> teacher: 630. Good. Um, Student H, what’s 60 times 11?\n","\n"]}],"source":["# Examples of uptake.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," # I want to look at positive examples of uptake (uptake = 1.0)\n"," feature_value=1.0,\n"," # ... and look at the previous student utterance (show_k_previous_lines = 1).\n"," # This is interesting because it will show us how the teacher is responding to the student's utterance.\n"," show_k_previous_lines=1,\n",")"]},{"cell_type":"markdown","metadata":{"id":"Hnqz2mbFW4M9"},"source":["### 📊 Quantitative Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":621},"executionInfo":{"elapsed":499,"status":"ok","timestamp":1703934088845,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ERhtObqhW4M9","outputId":"7649b694-d4b7-489c-c011-e1a51f3e52ee"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAHACAYAAABH3Kc0AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABSW0lEQVR4nO3deVhU1f8H8PewryqIIpoELgO4WwmSW+KWmuaWVl+XyjTct1RwqVxBSotcojRxybUUzdxQLMtKUX8oLgguICgCKorgsM3M/f3BMDkOIHOBmRHfr+fxeZxzzj3nM8Mw8+Gec8+VCIIggIiIiIhgYugAiIiIiIwFEyMiIiIiFSZGRERERCpMjIiIiIhUmBgRERERqTAxIiIiIlJhYkRERESkwsSIiIiISIWJEREREZGK0SdGu3fvxmuvvYaAgACdj83Pz8fy5cvRtWtX+Pr6ol+/fvj555+rIEoiIiKqDswMHUBpMjIy8NlnnyEhIQHZ2dk6H69QKDB+/Hhcv34d69evR6NGjXDs2DFMnjwZGRkZmDBhQhVETURERM8zoz1jNGXKFHh6euLHH38UdfzevXtx4sQJfPrpp2jUqBEAwM/PD0OGDMGaNWuQnJxcmeESERFRNWC0Z4xWrFgBFxcX3Lp1S9TxO3fuhJmZGbp166ZR3qtXL2zbtg27du3CtGnTdOpTLpcjKysLlpaWMDEx2pySiIiInqBUKpGfn4+aNWvCzKzs1MdoEyMXFxfRx+bn5yM2NhYvv/wyrK2tNeo8PDwAANHR0Tr3m5WVhaSkJNFxERERkeG4ubmhdu3aZbYx2sSoIpKTk6FQKFC3bl2tOkdHR5ibm+PmzZs692tpaQmg6IV9OuEiIiIi45Sbm4ukpCT193hZqmViVLxYu7TkxcrKCo8ePdK53+LpMwsLi3K9uERERGR4CoUCAMq1DKZaJkZVLSEhwdAhEBERURWolomRvb09gKJTZyXJy8tDjRo1RPcvlUphY2Mj+ngiIiLSH5lMVu6TGtUyMXJ1dYWpqSkyMjK06jIzM1FYWIiXX35ZdP+mpqYwNTWtSIhERESkJ7p8Z1fLa84tLS3RqlUrJCcna501io+PBwB4e3sbIjQiIiIyYtUiMUpLS4MgCBplQ4cOhVwuR1RUlEb54cOHYWZmhkGDBukzRCIiInoOPPeJ0dq1a9GlSxcsXrxYo/ztt99Ghw4dsHz5cty4cQMA8Pvvv+OXX37B+PHjKzSVRkRERNWT0a4x2rp1K1avXq2+xO7AgQP466+/YG1tjaNHj6rb1alTBzY2NnB2dtY43tTUFN999x1WrlyJjz76CPn5+ahduzY+//xzvPPOO3p9LkRERPR8kAhPz0FRqWQyGeLi4uDl5cWr0oiIiJ4Tunx/P/dTaURERESVhYkRERERkQoTIyIiIiIVJkZEREREKkZ7VRpVHYVCgcTEROTn5xs0hszMTDg6Ohp0F3FLS0u4u7tzJ3MiIgLAxOiFU1hYiICAAN4I9wlSqRTBwcEwNzc3dChERGRgnEp7waSnpzMpekpCQgLS09MNHQYRERkBJkYvGGdnZ0ilUkOHYVSkUqnWBqFERPRi4lTaC8bc3BwhISEGXWOUlJSEsLAw9WN/f3+4ubkZJBauMSIioicxMXoBmZqaokmTJoYOQ83NzQ3Nmzc3dBhEREScSiMiIiIqxsSIiIiISIWJEREREZEKEyMiIiIiFSZGRERERCpMjIiIiIhUmBgRERERqTAxIiIiIlJhYkRERESkwsSIiIiISIWJEREREZEKEyMiIiIiFSZGRERERCpMjIiIiIhUmBgRERERqTAxIiIiIlJhYkRERESkwsSIiIiISMXM0AG8SB4/foykpCRDh2FwT78GfE2KuLm5wdbW1tBhEBG90JgY6VFSUhICAgIMHYbRCQsLM3QIRiE4OBjNmzc3dBhERC80TqURERERqTAxIiIiIlLhVJoBWTq/ChOrWoYOwyAEQQlBnguJmTUkkhczP1fmPUR++llDh0FERE9gYmRAJla1YGZTx9BhkIHIDR0AERFpeTH/VCciIiIqARMjIiIiIhUmRkREREQqTIyIiIiIVJgYEREREakwMSIiIiJS4eX6BqTIe2joEMiA+PMnIjI+TIz0SC7X3LmmgJv70ROefn8QEZH+cSpNjx48eGDoEMiI8f1BRGR4TIz0yMHBwdAhkBHj+4OIyPA4laZHZmaaL7eF86swfUHvlUZFa4yenE59+v1BRET6x09iAzLlvdKIiIiMCqfSiIiIiFSYGBERERGpMDEiIiIiUmFiRERERKTCxIiIiIhIhYkRERERkQov1zcgZd5DvKg3gRAEJQR5LiRm1pBIXsz8XMl7pRERGR0mRgaUz3ulERERGZUX8091IiIiohIY9RmjM2fOIDQ0FNeuXYOJiQnat2+PmTNnol69euU6/vr161izZg1iYmKQm5sLe3t7vP766xg/fjzq1q1bxdETERHR88ZoE6OTJ09i9OjRGD16NMLDwyGTyTB9+nQMHToUu3btQp06Zd9KIz4+HsOGDYOrqys2btyIhg0b4sqVK/jkk09w9OhR7N27F7Vr19bTsyni5uaG4OBgvY5pjJKSkhAWFqZ+7O/vDzc3N8MFZCT4GhARGZ5RJkZyuRzz58+Hq6srpk6dChMTE9SoUQNLlixB165dsWLFCgQFBZXZx6ZNm5Cbm4vp06ejYcOGAABPT0+MGTMGixYtws8//wx/f399PB01W1tbNG/eXK9jPg/c3Nz4uhARkVEwyjVGp06dQnJyMnr27AkTk/9CdHZ2Rps2bbB//348fvy4zD7S09MBQJ0UFSt+fOfOnUqOmoiIiJ53RpkYRUdHAwA8PDy06jw9PZGfn4/z58+X2YdUKgUAJCYmapQnJSUBABo3blwJkRIREVF1UqmJUU5OTqX0U5zMlLRAurisOMEpzZgxY+Dp6YkVK1YgISEBSqUSMTExWLt2LVq2bImhQ4dWSqxERERUfVR4jdHPP/+MiIgIXL58GQUFBbh8+TKio6Oxd+9eTJ48Gc7Ozjr3WZxgWVlZadUVl2VnZ5fZh4ODAzZs2IDFixejX79+MDc3h0KhwJAhQxAYGFhi3+WlUCigUChEH/+iUyqVWo/5ehIRUVXR5TtGdGJUUFCAcePG4Z9//oEgCAAAiUQCoOiszsWLF/Hee+9h+/btBrk0/urVq/jkk09Qu3Zt7N+/H40aNcKNGzcQGBiI9957D2vWrEGDBg1E9Z2QkFDJ0b5Ybt68qfH46tWrKCgoMFA0RERE/xGdGIWHh+Ps2bMYN24c+vbtC2dnZ7Rr1w5A0VVGERERmDp1KtauXYu5c+fq1LednR0AIC8vT6uuuMze3r7MPubPn487d+6oL9UHgCZNmmDFihXo2bMn5s2bh/DwcJ3iKiaVSmFjYyPqWAIsLCw0Hjdt2hTNmjUzUDRERFTdyWSycp/UEJ0Y7du3D0uXLkWfPn1KrDcxMcHkyZMxYcIEnRMjd3d3AEBGRoZWXXFZWXu+yGQynDt3Di4uLiVelebi4oKTJ08iLy9P1JSaqakpTE1NdT6Oijx5pWHxY76eRERUVXT5jhG9+DolJQXdu3cvs81LL72kvmxeF97e3gCKNml8Wnx8PCwtLdG6detSj8/Ly4MgCOqpvaeZmJhAqVRCJpPpHBsRERFVX6ITIysrK9y/f7/MNklJSaLOyPj4+MDV1RWRkZEaC3XT09MRExODvn37wtbWVl2ekZEBufy/+9Q7OjqiQYMGuHPnjtZ+RWlpaUhNTUX9+vXh6Oioc2xERERUfYlOjNq2bYsFCxaUeom+UqnE119/jddee03nvs3MzLBw4UIkJycjNDQUCoUC2dnZmDt3LpycnDBt2jR12wMHDqBTp06YOHGiRh8zZ86EIAiYNWuWOjm6c+cOZs6cCaVSiZkzZ+ocFxEREVVvotcYffLJJxg+fDjeeOMNvPnmm/D09AQA7Nq1C7du3cK+ffuQlpaG7du3i+rf19cXGzduRGhoKDp27AiJRIL27dtjx44dGle5OTg4wM7ODi4uLhrH9+7dG46Ojvjxxx8xYMAAKJVKmJiYoFWrVggPD4evr6/Yp05ERETVlEQovtZehP3792PevHnIzc2FRCJRr+sRBAE2NjYICgpCr169KjNeg5LJZIiLi4OXlxevSquAS5cuISAgQP04ODiY90ojIqIqo8v3d4U2eOzbty98fHwQERGBCxcuICcnB/b29mjdujUGDBjANTxERET0XKnwztdOTk4YM2ZMZcRCREREZFBVfhPZkSNHVvUQRERERJWiwmeMAODBgwfqvYOeJAgCTp8+XRlDEBEREVU50YlRfn4+vvzyS+zbtw+PHj2qzJiIiIiIDEJ0YrRw4ULs2rULTZs2hbe3t/r+Zk8SBAF79+6tUIBERERE+iI6MTpy5Ai++OILvPvuu2W227Nnj9ghiIiIiPRK9OJrQRDQr1+/Z7bbtGmT2CGIiIiI9Er0GaM33ngD165dK/NmrgAQHR2tviksGQeFQoHExETk5+cbZPykpKQyH+uTpaUl3N3ddbrzMhERVV+id75+9OgRlixZgj59+qBTp04wMSn55JOXlxfi4uIqFKSxqA47XxcWFiIgIAAJCQmGDsVoSKVSBAcHw9zc3NChEBFRFdDLztc1atTAG2+8gVmzZiEnJwcODg6wtLQU2x3pSXp6OpOipyQkJCA9PR0vvfSSoUMhIiIDE73GaPv27Zg+fToePXoEOzs7WFhYQBAErX9kXJydnSGVSg0dhlGRSqVwdnY2dBhERGQERJ8xWr9+PQYNGoRPP/0UDg4Opbbz9PQUOwRVAXNzc4SEhBh0jRFQtM4pMzMTjo6OBl3fwzVGRET0JNGJUUZGBmbOnIlatWqV2S4oKEjsEFRFTE1N0aRJE0OHQUREZHRET6V5eXkhJyfnme24boOIiIieF6ITo8DAQISEhDzzdiC8iSwRERE9L0RPpW3btg337t1Dx44d0bp1a9StWxcWFhaVGRsRERGRXolOjCIiItT/P336dKntJBKJ2CGIiIiI9Ep0YgQAUVFRZdYLgoAePXpUZAgiIiIivRGdGLm7u6NBgwbPbPfaa6+JHYKqsejoaISFhcHf35+3jCEiIqMhevH1wYMHy9Vu8+bNYoegaiovLw9r1qzB3bt3sWbNGuTl5Rk6JCIiIgAVSIzKq1u3blU9BD1nfvnlF2RmZgIAMjMz8csvvxg4IiIioiLlnkqTy+WQy+WwsrICAKSmpj7zGEEQytWOXhypqan45Zdf1LeLEQQBv/zyC/z8/FC/fn0DR0dERC+6cidG77zzDjIyMhAZGQlbW1v4+fnxijPSiSAICAsL07qHXnH5ggUL+J4iIiKDKndiJAgClEqlRtmAAQOeeczevXtFBUbVz61btxATE6NVrlQqERMTg1u3bqFhw4YGiIyIiKhIuROjn3/+GXK5HNbW1uqy8twHbc+ePaICo+rnpZdeQtu2bXH+/HmNJNvExARt2rTh7WOIiMjgyr342tzcXOekSJd2VP1JJBL4+/trTZeVVk5ERKRvoq9K8/HxKbN+7dq12LNnzzOn2+jFUr9+fQwZMkSdBEkkEgwZMgQuLi4GjoyIiKgCidGzLsOPi4vD559/jiVLlogdgqqpIUOGwNHREQDg6OiIIUOGGDgiIiKiIqITo6evLHraihUrsHPnThw6dEjsEFRNWVlZYfz48ahTpw7Gjx+v3gKCiIjI0ETfEqQ860Fq1aqF3NxcsUNQNebt7c1bgRARkdEpd2IUERGBiIgIjbKRI0eW2r6goADXr19Hs2bNxEdHREREpEflToxu376N6Oho9WOJRKLx+Gk1a9ZEq1atMGfOnIpFSERERKQnEuFZi4VK4enpiStXrlR2PEZNJpMhLi4OXl5esLGxMXQ4REREVA66fH+LXnw9cOBAsYcSERERGSXRidGgQYPK1e5Zl/UTERERGQvRiVFZC6+LZWZmIjU1VewQRERERHpVoX2M0tPTS60/cuQI+vXrJ7Z7IiIiIr0TnRgBRWeN7t69q1GWnZ2NTz/9FJMnT0ZOTk6FgiMiIiLSpwolRv/73/8wYsQI3Lt3DwBw/Phx9O3bF7/99htatGiB3bt3P3OHbCIiIiJjIXrn64kTJ2LkyJGQy+UYOXIkWrdujYiICJiZmWHixIkYN24cTE1NsWnTpsqMl4iIiKjKVCgxAoCPPvoIcrkcK1asQJMmTbBs2TI0b95c3a48tw4hIiIiMgYVmkorNnbsWEyZMgUSiQT169fXqCvP1WtERERExqDcZ4wCAwOf2ebu3bt477330LZt2woFRURERGQIOt1EtjwePnyIpKQk9WNOpREREdHzQqc1RlFRUTp1LggCevToodMxRERERIZS7sTI1dUVDRo00HmA1157TedjiIiIiAyh3IuvIyMjRQ2wefNmUccRERER6VulXJVWFi8vr6oegoiIiKhSlHsq7fTp06IG4M7XRERE9Lwod2I0YsQIUVeY8ao0IiIiel7odFXahAkTdOpcEASsWbNGp2OIiIiIDEWnxKj4NiC6WL16tc7HEBERERlCuRdfi70ZLG8iS0RERM+LcidG3t7eogaIjo4WdRwRERGRvlX55foVmUo7c+YMRowYAV9fX3To0AEzZsxAWlqaTn0kJCRg2rRp6Nq1K3x8fNC5c2f4+/vjzJkzouMiIiKi6kmnNUZPS0tLw7p16/B///d/ePToUaVemn/y5EmMHj0ao0ePRnh4OGQyGaZPn46hQ4di165dqFOnzjP7OH78OKZPn4758+fjyy+/hJmZGY4fP46JEyfilVde4a7cREREpEH0GaOUlBQMGDAAW7duxYMHD3Dr1i0IggBBEJCXl4fbt28jNTUV9evX17lvuVyO+fPnw9XVFVOnToWZmRlq1KiBJUuW4N69e1ixYsUz+8jMzMTMmTMxYcIEDBgwAGZmRTlgly5dMHLkyHIlVkRERPRiEZ0YhYaGwsPDA//++y9+//13SCQSHDt2DMeOHcPff/+NQ4cOwcvLCzNmzNC571OnTiE5ORk9e/aEicl/ITo7O6NNmzbYv38/Hj9+XGYf27dvR05ODgYPHqxVN3PmTAwcOFDnuIiIiKh6E50YnTp1CoGBgahZs2aJ9W5ubli0aJGoq9KKF2x7eHho1Xl6eiI/Px/nz58vs4+jR4+iYcOGpcZHRERE9DTRidHDhw/RqFEj9WNTU1Pk5+drtGnUqBHi4+N17jsxMREAULduXa264rKkpKRSj1coFLh69Srq1q2Lf//9Fx9++CE6dOiAzp07Y/Lkybhy5YrOMREREVH1J3rxdZ06dZCRkYGXXnoJAODi4oILFy5oLGg+d+4czM3Nde47JycHAGBlZaVVV1yWnZ1d6vGPHj1CQUEBEhISEBAQgJCQELz66qtITk7GzJkzMXToUGzYsAGvvPKKzrEBRYmXQqEQdSwRERHply7f2aITI09PT4SGhiIoKAhmZmZo1aoV5s2bh4CAALi6uiI+Ph5ffvklpFKp2CFEKz5z9fDhQyxbtgw+Pj4Ais5ghYSEoG/fvli8eDF2794tqv+EhIRKi5WIiIiMh+jEqGfPnggICEBKSgq2b9+OsWPHYvDgwRg3bpy6jUQiwZIlS3Tu287ODgCQl5enVVdcZm9vX+rxT55p8vX11ahr3LgxGjRogEuXLiEzMxOOjo46xyeVSmFjY6PzcURERKR/Mpms3Cc1RCdG/fv3R5cuXdSXwXt4eODHH3/E999/j9u3b6N+/foYNWqUVmJSHu7u7gCAjIwMrbriMjc3t1KPr1mzJmxtbfH48WM4ODho1Ts5OeHWrVuiEyNTU1OYmprqfBwRERHpny7f2aITIxMTE62kw8fHRz1tVRHe3t4ICwtDfHw8+vTpo1EXHx8PS0tLtG7dutTjJRIJ2rZtixMnTuD+/ftwcXHRqM/MzAQAUUkRERERVV+ir0rbs2dPmfWTJ0/GnDlzcPfuXZ379vHxgaurKyIjI6FUKtXl6enpiImJQd++fWFra6suz8jIgFwu1+hj0KBBAIATJ05olCcnJ+PWrVto06YNEyMiIiLSIDoxCgwMLLO+bdu2uHTpEj777DOd+zYzM8PChQuRnJyM0NBQKBQKZGdnY+7cuXBycsK0adPUbQ8cOIBOnTph4sSJGn306dMHXbt2RWhoKGJiYgAUJVYBAQGwtrYWFRcRERFVb6Kn0p51X7QPP/wQb7/9Nnr16iWqf19fX2zcuBGhoaHo2LEjJBIJ2rdvjx07dmjsb+Tg4AA7Ozut6TKJRIJvv/0WP/zwA2bNmoWHDx/CzMwMvr6+WLx4scYeTEREREQAIBFE3vnVy8sLcXFxpdYXFBTg33//RUBAAP7991/RARoTmUyGuLg4eHl58ao0IiKi54Qu39/lPmO0atUqrF69Wv1YEAR4eXk987i33nqrvEMQERERGVS5E6MGDRpo7Gp95swZjcdPkkgkqFmzJlq0aIHhw4dXPEoiIiIiPRA9lebp6fnC3XOMU2lERETPH12+v0VflRYUFCT2UCIiIiKjJDoxGjhwoOhBy7M2iYiIiEjfRCdGFSFy9o6IiIioShkkMZJIJIYYloiIiKhMBkmMiIiIiIwREyMiIiIiFSZGRERERCpMjIiIiIhUmBgRERERqTAxIiIiIlLhPkZEREREKqITI09PT3h5eWHGjBk6H/ui3WONiIiIng9mFTl49OjRGDFiRGXFQkRERGRQohMjW1tbTJgwAdbW1pUZDxEREZHBiJ5Ka926NZKSkp7ZbuTIkWKHICIiItIr0YnR9OnTsXTpUqSlpZXZ7vTp02KHICIiItIr0VNpW7ZsQWFhIbp3746WLVvCxcUFlpaWlRkbERERkV6JTowiIiLU/4+JiUFMTEyJ7SQSidghiIiIiPSqQlelRUVFlVkvCAJ69OhRkSGIiIiI9EZ0YuTu7o4GDRo8s91rr70mdggiIiIivRK9+PrgwYPlard582axQxARERHpVaXcEiQ3Nxfnz59XT63l5+dXRrdEREREelWhxOju3buYOXMmfHx88O6772LSpEkAgOjoaPTq1Qv//vtvpQRJREREpA+iE6N79+5h6NCh2LdvH+zs7ODl5aW+OWyLFi3QsWNH+Pv74/Lly5UWLBEREVFVEr34etWqVbCwsMCGDRvQvn17AICXlxcAwMHBAfPnz0etWrXw/fffIzQ0tHKiJSIiIqpCos8Y/fnnnwgJCVEnRSUZNmwYYmNjxQ5BREREpFcVmkpr1qxZmW1sbW1x//59sUMQERER6ZXoxKhWrVq4cuVKmW1iY2Ph5OQkdggiIiIivRKdGHXq1AmffvopoqOjS6y/efMmFixYgC5duogOjoiIiEifRC++njRpEgYOHIhRo0ahYcOG8PT0BADMmjULt2/fxrlz5+Dg4IDx48dXWrBEREREVUn0GaN69erhp59+gpeXF5KTkxEZGQlBEPDrr7/i7NmzaN68OTZv3ow6depUZrxEREREVaZCN5Ft3Lgxdu/ejdjYWFy4cAHZ2dmwt7dH69at0aJFi8qKkYiIiEgvKpQYFWvVqhVatWpVYl1gYCCCgoIqYxgiIiKiKiV6Kq14M8dn2bNnj9ghiIiIiPRKdGIkCALkcnmp9ampqRg1apTY7omIiIj0rkI3kZ08eXKJydHPP/+M/v3749SpUxXpnoiIiEivKpQYWVpaYurUqVAoFACAjIwMjB07Fp999hkAICgoSH1jWSIiIiJjJzoxateuHb766itIJBJMmzYNe/bsQb9+/fDnn3/C29sb+/btw8CBAzFx4sTKjJeIiIioykiECp7SkcvlmDRpEv744w9YWVlh2rRpGDlyZGXFZ1RkMhni4uLg5eUFGxsbQ4dDRERE5aDL93eFptIAwMzMDN9++y06d+4MHx8fjBgxQqO+vFevERERERlaufcxetZl935+fvj6668xdepUdO3ataJxEREREelduROjgIAASCSSEusEQYBEIoEgCDh8+DAiIyM1yomIiIieBzrtfL106VKdOhcEAXPnztXpGCIiIiJD0SkxGjhwoM4DzJkzR+djiIiIiAyh3Iuvjx8/LmqAK1euiDqOiIiISN/KnRg5OzuLGqC6XrpPRERE1Y9OU2mlefz4MR49eqS1y7UgCDh9+nRlDEFERERU5SqUGP3xxx9YsWIFrl69WlnxEBERERmM6A0eT548ifHjx8PMzAz9+/eHIAgYMGAABgwYgDfffBP169cHAPTt27fSgiUiIiKqSqLPGP3www94//33MW/ePADAr7/+iqCgIHW9XC5HYGAgGjVqVPEoiYiIiPRA9BmjixcvYvTo0aXWm5mZYdq0adi3b5/YIYiIiIj0SnRiVFBQgNq1a6sfW1lZ4dGjRxptatSogVu3bomPjoiIiEiPRCdGLi4uGouuGzRogL/++kujzaFDh1CzZk3RwZ05cwYjRoyAr68vOnTogBkzZiAtLU1UXxcvXkSzZs3g5+cnOh4iIiKq3kQnRm3btsX8+fNx+fJlAECnTp0wb948LFu2DNu3b8eCBQuwYMECvPLKK6L6P3nyJEaNGoW2bdvir7/+wsGDB5GVlYWhQ4fi7t27OvVVWFiIOXPmQKFQiIqFiIiIXgyiE6O3334bhYWF+P777wEAY8aMgb29PcLDw7FgwQJs27YN1tbWmDFjhs59y+VyzJ8/H66urpg6dSrMzMxQo0YNLFmyBPfu3cOKFSt06u+HH36AjY0NXFxcdI6FiIiIXhyir0rz8fHRWFjt6OiIPXv2YOfOnUhNTYWLiwsGDRokasfsU6dOITk5Gf7+/jAx+S93c3Z2Rps2bbB//37MmzcPtra2z+zr2rVrWL9+PXbu3IkxY8boHAsRERG9OCpl5+tijo6O8Pf3r3A/0dHRAAAPDw+tOk9PT5w9exbnz5/H66+/XmY/SqUSc+bMwccff4zGjRtXOC4iIiKq3kRPpT0pNzcX58+fR1RUFAAgPz+/Qv0lJiYCAOrWratVV1yWlJT0zH42btyI/Px8nikiIiKicqnQGaO7d+8iJCQEhw8fRmFhISQSCS5fvozo6GgsXrwYX3zxBXx9fXXuNycnB0DRFgBPKy7Lzs4us4/k5GSsXLkSmzZtgplZpZ4Yg0Kh4EJuIiKi54Qu39miM4Z79+5h6NChuHPnDhwdHVGvXj3ExcUBAFq0aIGOHTvC398f27ZtQ7NmzcQOI4ogCJg7dy7ef/99tGjRotL7T0hIqPQ+iYiIyPBEJ0arVq2ChYUFNmzYgPbt2wMAvLy8AAAODg6YP38+atWqhe+//x6hoaE69W1nZwcAyMvL06orLrO3ty/1+B07diAjIwOTJk3SadzykkqlsLGxqZK+iYiIqHLJZLJyn9QQnRj9+eef+Prrr9G6detS2wwbNgzDhg3TuW93d3cAQEZGhlZdcZmbm1upx0dFReHBgwdamzlmZmYCADp06AAAmDJlCoYOHapzfKampjA1NdX5OCIiItI/Xb6zKzSV9qwpMltbW9y/f1/nvr29vREWFob4+Hj06dNHoy4+Ph6WlpZlJmRr164tsbw4UTp27JjOMREREVH1J/qqtFq1auHKlStltomNjYWTk5POffv4+MDV1RWRkZFQKpXq8vT0dMTExKBv374aexhlZGRALpfrPA4RERHRk0QnRp06dcKnn36q3nPoaTdv3sSCBQvQpUsXnfs2MzPDwoULkZycjNDQUCgUCmRnZ2Pu3LlwcnLCtGnT1G0PHDiATp06YeLEiWKfChERERGACkylTZo0CQMHDsSoUaPQsGFDeHp6AgBmzZqF27dv49y5c3BwcMD48eNF9e/r64uNGzciNDQUHTt2hEQiQfv27bFjxw6N/Y0cHBxgZ2dX6u0+CgoK0LVrVwDaa4x+//13WFhYiIqPiIiIqh+JIAiC2IOvX7+OmTNnqm8k+6RWrVph2bJl6oXU1YFMJkNcXBy8vLx4VRoREdFzQpfv7wrtfNi4cWPs3r0bsbGxuHDhArKzs2Fvb4/WrVtXyf5BRERERFWpUraEbtWqFVq1alUZXREREREZTKUkRpcuXUJcXBxycnJgZ2eHZs2a6X23ayIiIqKKqlBidO7cOcyfPx/Xrl3TqvPw8MDChQt5JomIiIieG6ITo9jYWIwaNQr5+flo0qQJ3N3dYW1tjdzcXNy4cQNXrlzBqFGjsHnzZq43IiIioueC6MRo+fLlcHV1xfLlyyGVSrXq4+PjMWPGDCxfvhzh4eEVCpKIiIhIH0Rv8BgbG4uQkJASkyKgaCotJCQE586dEzsEERERkV6JToxMTU3RpEmTMts0bdoU5ubmYocgIiIi0ivRiVHLli0RFxdXZptLly7h1Vdf1ShbtWqV2CGJiIiIqpToxGjatGn4/PPPcfr06RLrT506ha+++gqBgYEa5atXrxY7JBEREVGVEr34+quvvkJWVhZGjhyJ2rVro169erCxsYFMJkNaWhru37+PJk2aYN68eZUZLxEREVGVEZ0YRUdHq/9/79493Lt3T6vN1atXtcokEonYIYmIiIiqVIU2eLxy5YrOx3h6elZkSCIiIqIqI3qNUbt27fR6HBEREVFVE50Ybd68Wa/HEREREVW1SrmJ7JPOnDmDI0eOwMrKCoMHD4arq2tlD0FERERUJUSfMfrjjz/g5eUFLy8vpKSkAACOHz+OkSNHYtOmTfj+++8xaNAg3Lx5s9KCJSIiIqpKohOjAwcO4JVXXkFkZCQaNmwIoOgSfgCYPHkyVq1ahYYNG+L777+vnEiJiIiIqpjoqbQLFy4gNDRUnRRdvHgRV69eRZ8+fTBu3DgAgLOzM6ZPn145kRIRERFVMdFnjNLS0uDu7q5+fPjwYUgkEgwePFhd5uHhgYyMjIpFSERERKQnohOjWrVqITU1FQAgl8vx22+/oVatWvD19VW3yc7Ohr29fcWjJCIiItID0VNpr7zyCr744gt88MEHiIyMRFpaGj744AOYmPyXa+3fv59XpREREdFzQ3RiNGHCBAwdOhT+/v4QBAF169bFmDFjAADXr1/HqlWrEBkZiWnTplVasERERERVSXRi1KhRI+zfvx+RkZGQSCTo06cPHB0dARTdD61x48YYN24cBgwYUFmxEhEREVUpiSAIgr4H3bNnz3OZMMlkMsTFxcHLyws2NjaGDoeIiIjKQZfvb9GLrysiMDDQEMMSERERlckgiZEBTlIRERERPZNBEiOJRGKIYYmIiIjKZJDEiIiIiMgYMTEiIiIiUmFiRERERKTCxIiIiIhIRfQGj0RERNWZQqFAYmIi8vPzDRpDZmYmHB0dYWpqarA4LC0t4e7ubtAY9MUgiREv1yciImNWWFiIgIAAJCQkGDoUoyGVShEcHAxzc3NDh1KlDDKVNnDgQEMMS0REVC7p6elMip6SkJCA9PR0Q4dR5SrljFFmZibi4+ORk5MDOzs7eHp6wsHBodT2QUFBlTEsERFRlXB2doZUKmVy9ASpVApnZ2dDh1HlKpQYpaSkYPHixfjrr780psdMTEzQpUsXBAYGomHDhhUOkoiISJ/Mzc0REhJi0DVGSUlJCAsLUz/29/eHm5ubQWLhGqNySExMxPvvv48HDx7Azs4Orq6usLa2Rm5uLm7evIljx47h/Pnz2Lp1K15++eXKjJmIiKjKmZqaokmTJoYOQ83NzQ3Nmzc3dBjVnujE6Msvv4SFhQXCwsLQuXNnmJj8t1xJqVTijz/+wIIFC/Dll19i1apVlRIsERERUVUSnRidOnUKYWFhaNeunVadiYkJ/Pz8YGdnh/Hjx1coQCIiIiJ9EX1VmlKpRJs2bcps07ZtWyiVSrFDEBEREemV6MTIw8MDN2/eLLNNUlISWrVqpVG2Z88esUMSERERVSnRidG4ceMwf/58pKSklFifkpKCJUuWYMaMGRrlgYGBYockIiIiqlKi1xgdOnQImZmZePPNN9G8eXO4uLjAxsYGMpkMd+7cwaVLl9CyZUts3bq1MuMlIiIiqjKiE6OIiAj1/2NjYxEbG6vV5ty5czh37pxGmUQiETskERERUZWq0AaPUVFROrUXBAE9evSoyJBEREREVUZ0YlS/fn00aNBA5+NcXFzEDklERERUpUQvvj527JhejyMiIiKqapVyE9kLFy7gwoULyM7ORo0aNdCqVStuW05ERETPnQolRjdu3MDs2bNx8eJFrbqWLVti2bJlcHd3r8gQRERERHojOjFKS0vD8OHD8eDBA3h5ecHd3V19uf6NGzdw4cIFjBgxArt27YKzs3NlxkxERERUJUQnRqtXr4ajoyM2b96Mxo0ba9Vfv34dU6dOxerVq7Fw4cIKBUlERESkD6IXX//1119YtmxZiUkRADRu3BhLly7F8ePHRQdHREREpE+iE6P79+9DKpWW2cbT0xOZmZlihyAiIiLSK9GJkaOjI65evVpmm/j4eNSuXVvsEERERER6JTox6tixI2bPno2kpKQS6xMTExEYGIjOnTuLHQJnzpzBiBEj4Ovriw4dOmDGjBlIS0sr17FXr17FokWL0LNnT/j4+OC1117D//73Pxw8eFB0PERERFS9iV58PXHiRAwcOBB9+vSBl5cXGjVqBGtra+Tm5uL69eu4cuUKHBwcMGHCBFH9nzx5EqNHj8bo0aMRHh4OmUyG6dOnY+jQodi1axfq1KlT6rH379/HW2+9hebNm+O7775D48aNkZ2djaCgIEydOhU3btwQHRcRERFVX6LPGLm4uGDTpk3w8PDApUuXsG/fPuzcuRP79u3D5cuX0axZM2zatEnUpfpyuRzz58+Hq6srpk6dCjMzM9SoUQNLlizBvXv3sGLFijKPVyqVAIClS5eqF4fb29tjwYIFcHFxwXfffce1T0RERKSlQhs8SqVSREREIDY2Vr3ztb29PVq1aoWWLVuK7vfUqVNITk6Gv78/TEz+y92cnZ3Rpk0b7N+/H/PmzYOtrW2Jx9vY2GDixInw9PTUKDc3N0eLFi1w5MgRXL58GR07dhQdIxEREVU/ohOjVatWAShKjnr27IlWrVpVWlDR0dEAAA8PD606T09PnD17FufPn8frr79e4vG2traYNGlSiXVyuRwAULNmzUqKloiIiKoL0VNpq1atwvbt28u9GFoXiYmJAIC6detq1RWXlbbouywKhQIXL15Ew4YNeS83IiIi0iL6jJGpqSk2b95cJfdCy8nJAQBYWVlp1RWXZWdn69zvoUOHcPfuXXz77bcaU3S6UigUUCgUoo8nIiJ6luL1sk8+5nePOLq8bqITo3r16qFWrVrPbHf69Gm0a9dO7DCV5v79+wgKCsK7776LXr16VaivhISESoqKiIioZDdv3tR4fPXqVRQUFBgomheH6MRowIAB2Lt3Lz744IMy240cORJxcXE69W1nZwcAyMvL06orLrO3ty93fzKZDGPHjkWLFi3w2Wef6RRLSaRSKWxsbCrcDxERUWksLCw0Hjdt2hTNmjUzUDTPN5lMVu6TGqITo/79+2PJkiW4ceMG3nzzTdSrV09r6ksQBAiCoHPfxdNzGRkZWnXFZW5ubuXqKy8vD/7+/qhVqxZCQ0NhamqqczxPMzU1rZR+iIiISvP0kg8TExN+94iky+smOjHq1asXJBIJBEHAzz//XGo7iUSic9/e3t4ICwtDfHw8+vTpo1EXHx8PS0tLtG7d+pn9FBQUYMKECZBIJFi9ejUsLS0BALdu3YKtrS0cHBx0jo2IiIiqrwrtYzRgwIAy6wVBwN69e3Xu18fHB66uroiMjMSUKVPUWXN6ejpiYmLw9ttva+xhlJGRAUdHR5iZ/fd0CgoKMGnSJBQUFOCHH37QOJu1atUqeHt7Y9CgQTrHRkRERNVXhRKjoKCgZ7bZs2ePzv2amZlh4cKF+PjjjxEaGorJkydDJpNh7ty5cHJywrRp09RtDxw4gGnTpqFr164ICwsDULRX0fTp03HixAmMHDkS69at0+g/Li4O3t7eOsdFRERE1ZvoxOhZt+UotmnTJlH9+/r6YuPGjQgNDUXHjh0hkUjQvn177NixQ2N/IwcHB9jZ2cHFxUVddvXqVRw5cgQAsH79elHjExGRYTx+/FjUXnXVzdOvAV+TIm5ubqXe+aIySAQxq6OfcOHCBezduxdxcXHqW4J4eXlh4MCB1W4TRZlMhri4OHh5efGqNCKiKnLp0iUEBAQYOgwyUsHBwTrnF7p8f1doKm3p0qXYvHmz1pVnZ8+exdatWzFq1CjMnj27IkMQERER6Y3oxGjDhg3YtGkTWrRogd69e8Pd3R3W1tbIzc3FjRs3cODAAWzYsAH169fHiBEjKjNmIiIioiohOjHatm0bhg8fjnnz5mnV+fn54eOPP8aiRYvw008/MTEiIiLRbFvXhmlNS0OHYRCCUoAyTwETK1NITHTf/qY6UGTl4/H5+3obT3RilJqaivHjx5fZZsKECWXucURERPQspjUtYe6kfe9Moqog+k6qjo6O6g0TS2NpaQknJyexQxARERHplejEqHv37s/coygiIgL9+/fXKOvWrZvYIYmIiIiqlOiptHfeeQczZ87ExYsX0bt3b9SvXx82NjaQyWRITU3FgQMHcPfuXXz22WdITU0FULQTdvH/iYiIiIyN6MRowIABkEgkuHr1aolnjoov4X/zzTdFB0dERESkT1V6r7Snib13GhEREZE+VPm90p4m5t5pRERERPogevG1mKSoIscRERERVTXRZ4wGDhyo1+OIiOjFJM/KN3QIZED6/vlXaCqNiIiossnlco3HMj3uekzG7+n3R2UTPZVGRERUFR48eGDoEMiIVfX7g4kREREZFQcHB0OHQEasqt8fnEojIiKjYmam+dVk07o2zF7Qm8hS0RqjJ6dTn35/VDYmRkREZNTMeBNZ0iNOpRERERGpMDEiIiIiUmFiRERERKTCxIiIiIhIhYkRERERkQoTIyIiIiIVXq5PRERGTfEC3ytNUApQ5ilgYmUKiYnE0OEYhL5//kyMiIjIqD3mvdJIjziVRkRERKTCxIiIiIhIhVNpRERkVNzc3BAcHGzoMAwuKSkJYWFh6sf+/v5wc3MzXEBGoqpfAyZGRERkVGxtbdG8eXNDh2F03Nzc+LroAafSiIiIiFSYGBERERGpMDEiIiIiUmFiRERERKTCxIiIiIhIhYkRERERkQoTIyIiIiIVJkZEREREKkyMiIiIiFSYGBERERGpMDEiIiIiUmFiRERERKTCxIiIiIhIhYkRERERkQoTIyIiIiIVJkZEREREKkyMiIiIiFTMDB0AERGRMVIoFEhMTER+fr5Bxk9KSirzsT5ZWlrC3d0dpqamBotBX5gYERERPaWwsBABAQFISEgwdChqYWFhBh1fKpUiODgY5ubmBo2jqnEqjYiI6Cnp6elGlRQZg4SEBKSnpxs6jCrHxIiIiOgpzs7OkEqlhg7DqEilUjg7Oxs6jCrHqTQiIqKnmJubIyQkxKBrjICidU6ZmZlwdHQ06PoerjEiInrBREdHIywsDP7+/vD29jZ0OGQETE1N0aRJE0OHQXrGqTQieuHl5eXhm2++wd27d/HNN98gLy/P0CERkYEwMSKiF9727duRnZ0NAMjOzsb27dsNHBERGQoTIyJ6oaWmpmL37t0aZbt370ZqaqqBIiIiQzLqxOjMmTMYMWIEfH190aFDB8yYMQNpaWnlPl6pVGLdunXo1asXfH190atXL6xduxZKpbIKoyai54UgCAgNDYUgCOUqJ6Lqz2gXX588eRKjR4/G6NGjER4eDplMhunTp2Po0KHYtWsX6tSp88w+5s2bh8jISKxduxZt27bFuXPnMGbMGCQmJmLp0qV6eBZEVB6G2mE4PT0dly9fLrHu8uXL+P333w1yefKLdAUQkbGRCEb4J5FcLkfv3r1hZmaG/fv3w8Sk6MRWeno6unbtirfffhtBQUFl9nHq1CmMHDkS06dPxyeffKIuX7t2Lb766iv89NNPaNeunU5xyWQyxMXFwcvLCzY2Nro/MSLSYow7DBuDF2WXYSJ90OX72yjPGJ06dQrJycnw9/dXJ0VA0YZbbdq0wf79+zFv3jzY2tqW2sfOnTsBAL169dIo79WrF7766ivs2LFD58SIqLp5/PixQe+/BAB3795lUlSChIQE/P333+U6O16V3NzcyvysJapujDIxio6OBgB4eHho1Xl6euLs2bM4f/48Xn/99TL7sLKywssvv6xR7urqChsbG/UYRC+ypKQkBAQEGDoMKsXy5csNHQKCg4PRvHlzQ4dBpDdGufg6MTERAFC3bl2tuuKysv7KlclkyMjIQJ06dSCRSErsIz09Hbm5uZUTMNFzSi6XGzoEMnJ8j9CLxijPGOXk5AAArKystOqKy4r3HClJcZ21tXWJ9U/2UVqbsigUCigUCp2PIzI29+/fN3QIZOTu37/Pzzt67unyHjbKxMjYcT0EVRdMjOhZ7t+/j3Pnzhk6DCK9McrEyM7ODgBK3Ja/uMze3r7U44vrSpsqK08fZZFKpbwqjaoFCwsLQ4dARs7T0xPNmjUzdBhEFSKTycp9UsMoEyN3d3cAQEZGhlZdcZmbm1upx9vY2KBu3bq4d+8eBEHQWmeUkZEBZ2dnUdNoQNGNBbm/CFUHjRo1QnBwsKHDgFKpxJ07d1BYWGjoUIyCubk5XFxcNK7KNRQ3Nzd+3tFzT5f3sFEmRt7e3ggLC0N8fDz69OmjURcfHw9LS0u0bt36mX389ttvuHnzpkYSlZKSAplMhm7dulVF6ETPFVtbW6O54qhly5aGDoGIyDivSvPx8YGrqysiIyM1bt+Rnp6OmJgY9O3bV2NfjYyMDK0rJ4YOHQoAOHz4sEb5oUOHNOqJiIiIihllYmRmZoaFCxciOTkZoaGhUCgUyM7Oxty5c+Hk5IRp06ap2x44cACdOnXCxIkTNfrw8fHB4MGDsXbtWsTExAAAzp8/jx9++AGDBw+Gt7e3Xp8TERERGT+jnEoDAF9fX2zcuBGhoaHo2LEjJBIJ2rdvjx07dmjsb+Tg4AA7Ozu4uLho9bFo0SK4u7tj9uzZyM7Ohp2dHcaMGYPRo0fr86kQERHRc8Io75VmrHivNCIiouePLt/fRjmVRkRERGQITIyIiIiIVJgYEREREakwMSIiIiJSYWJEREREpMLEiIiIiEiFiRERERGRChMjIiIiIhWj3fnaGBXfty03N9fAkRAREVF5FX9vP3n/1dIwMdJBfn4+ACApKcmwgRAREZHO8vPzYWdnV2Yb3hJEB3K5HFlZWbC0tISJCWchiYiIngdKpRL5+fmoWbMmzMzKPifExIiIiIhIhac9iIiIiFSYGBERERGpMDEiIiIiUmFiRERERKTCxIiIiIhIhYkRERERkQoTIyIiIiIVJkZEREREKkyMyGh0794dr776Kjw8PHDq1ClDh0PlcOnSJXTo0AGtWrWCh4eHTseGhoaiY8eOuHv3rqixjx49ig4dOqBFixbw8/MT1Yexe/jwITp06IC2bdvCw8MDt27dMnRIpGcjRoyAt7c3PDw8sHv3bkOH80JgYvSC8vDwQEBAgKHD0HD06FHMnTvX0GGQDpo3b46///4bffr0KbHez88PI0aMKLEuKysLOTk5KCgoEDV29+7d8ffff6Nt27aijq8sI0aMqLLErFatWvj777/x0UcfVUn/ZTHGzwhjtHLlyipNWjdv3oyVK1dWSd9lqcr3tbFjYkREBjF//nz8+++/aNCggaFDISJSY2JERAYhkUhgbW1t6DCIiDSUfYtZqna2bt2K1atXAwAOHDiAv/76C0DRlMgPP/wAANi+fTu2bt2KtLQ0SCQStGzZEuPHj8crr7yi7ic/Px+bN2/G0aNHcfv2beTm5sLFxQXDhw/HsGHDtMZ9/PgxwsLCcPDgQchkMlhYWMDNzQ09evTAO++8AwsLC432BQUFCA4ORmRkJLKzs9GmTRt88cUXWmcX5HI5fvzxR+zevRsPHjyAqakp2rVrh8mTJ6NJkyYAgCtXrmD06NHIzs5Gfn4+/vzzTyxduhTnzp1DWloaGjRogGPHjlXei2wgv//+O+bNm4esrCzUrVsXYWFhWLRoEeLj41GrVi1MnDgR/fv3xz///IMVK1YgMTERTZs2xeeffw4vLy8AQEZGBgYOHKh+reLj4wEUrXXp27evVvmzYsnMzERGRgY6dOgAAHB0dMS+ffswePBgpKSkICsrC0FBQRg0aBAyMzPRr18/yGQyyGQybNmyBT/99BNiYmLw6NEjeHp64tNPP8Wrr75artfj/v37CA0NxbFjx1BQUAA7Ozv4+flh0qRJqFmz5jOPv337NkJDQ3H69GkUFhbCxsYGbdq0wcCBA+Hr66t+X2VlZUGhUKifY/HzHzFiBK5du4acnBxs2rQJPj4+AIqmKC5fvqxVDhTdAXzt2rXYsWMHHj9+jDp16pQ6FQmIf/8vWLAA58+fh4mJCbp164bZs2erk9TyfEZERUVh7dq1uHXrFiQSCerUqYMuXbrg3XffhbOzc7l+PsYuLy8P3333nfozy9zcHE2bNkXPnj0xZMgQAEXTuffv3wcADBkyBKampgCA5cuX448//sCePXvw4MEDTJw4EZMmTQIArFixAjt37tQqL3b06FGsWrUKycnJcHR0RI8ePeDr61tqnIcPH8aPP/6IpKQkAEDTpk0xZswYvPHGG+o23bt3x4MHD5CTk4N169bh77//LvWz9Vnv66c/q6slgV5IUqlUmD17tlb5okWLhBYtWgiHDx8WFAqFkJOTI8yZM0do3ry58M8//6jbpaSkCFKpVAgPDxcUCoWgUCiE3377TfDy8hLWrVun0WdeXp4waNAgoUuXLkJcXJwgCIKQlZUlTJ8+XZBKpcLly5fVbXft2iVIpVLhnXfeEY4fPy4olUrh1q1bQteuXYW3335bo1+lUimMHz9e8Pb2Fk6dOiUIgiDcv39fGDt2rNCmTRshISFBo/3s2bMFqVQqfPLJJ+oxt2/fLnTt2lX8C2mEhg8fLnh7ewvTpk0THjx4IMjlcmHBggWCh4eHEBERIXz99ddCfn6+8OjRI2Hw4MFC165dhcLCQo0+il+rp+la3rVrV2H48OElxnny5ElBKpUKu3bt0ij/9ttvBalUKvTs2VM4fvy4oFAohIcPHwqjR48WWrRoIZw7d07r+T79M8zMzBS6desmDBw4UEhJSREEQRCuXLki9OjRQ3jrrbcEmUxWYkzFCgsLhZ49ewofffSR8PDhQ0EQBCE1NVUYPHiw1vMpafxixe/nkydPlqt84cKFglQqFbZt2yYoFArh8ePHwqJFi4TevXsLUqlU/VwEQfz7f9KkSUJiYqIgCILw999/C15eXsKSJUu0Yi/tM+LkyZOCp6ensGXLFkGhUAiCIAhRUVFC8+bNtX6Wz7OAgAChU6dOwo0bNwRBEITHjx8Lc+bM0XqfF79fn/zZFCv+nPz222/LVX7w4EHBw8NDCAgIEGQymVBYWChEREQI/fr1K/F3JTw8XJBKpcKWLVuEwsJCIT8/XwgNDRWkUqmwe/dujbYlfbYmJyeX+NkqCGW/r6s7TqWRWkxMDDZv3oxhw4ahZ8+eMDExga2tLT777DPY29sjKChI3dbCwgJ+fn744IMPYGJiAhMTE/Tt2xe9evXCunXrIAiCum14eDguXryIWbNmwdPTEwBQo0YNLF68uNSplJYtW6Jz586QSCRo0KAB+vfvj7i4OI0Fjvv378fRo0cxbtw4eHt7Ayg6I7FkyRIUFhZixYoVJfbdr18/9RmSN998E+PHj6/YC2eEHj58iLFjx6JWrVowNTXFhx9+CEEQ8NVXX2HChAmwsLCAvb09hg0bhtu3b+PChQuGDllLv3790LlzZ5iYmKBmzZr4/PPPUVhYqPE+LM3XX3+NlJQULF68GC+99BKAosXEn376KRISErBjx44yj7927RqSkpLwxhtvqM8uubi4YMqUKXBxcan4kyvB9evXsWXLFnh7e+Pdd9+FiYkJbGxsEBgYiPz8fK32Yt//ffv2hZubGwDg9ddfR+vWrXH06NFyxxkVFQWlUon+/fvDxKToK8TPzw+DBg2Cvb29js/aeB09ehStW7eGu7s7AMDGxgazZs1SP65sCoUCS5cuhbW1NebNmwdra2uYmZlhwIAB6s+rJ6WmpuKrr76Cn58f3n//fZiZmcHCwgKTJ0+Gh4cHQkJCSryw4cnP1oYNG6Jfv35an60vOiZGpLZ//34AQMeOHTXKLS0tIZVKER8fj/T0dABA3bp18d1332n14ebmhszMTPXp5bL6tba2xvr169GwYUOtfp6eLin+Mioe/8l+nzzVCwBOTk6oV68e/vnnH8jlcq2+27Vrp/5/zZo11afFqxNra2t1EgpAPb3h5eUFc3NzdXnx65qWlqbfAMvh6emDhg0bomnTpoiJiUFmZmapxymVShw8eBCOjo5o1qyZRl3Lli0BAH/++WeZYzs4OMDU1BTh4eE4fvw4lEolAKBTp04ICQkR83Se6dixYxAEQWMKBABMTU01ptuKiX3/P/27Vb9+fY3fq2dxcnICAMybNw/Jycnq8oULF6JHjx7l7sfY1a5dG3/88Qe2bdsGmUwGoOjz4tChQ1Uy3qVLl5Ceng5vb2/Y2tpq1JU0lRYZGYnCwkKtz1UAaNGiBTIzM3Hx4kWtupJ+/gB0eg9Ud1xjRGrFc9SzZ8+GmZnmWyM/Px82NjZIT09Xf8lGRUVh69atSExMRF5eHiQSifoDJC8vT33szZs3YW1tjRo1amiN+eS6pSc5ODhoPC7+Mn/yg7443lGjRkEikWi0z8vLg4mJCbKyslC7dm2NuuIP9uqsVq1aGo+L1wWU9rrm5ubqJS5d1KlTR6usbt26SEhIQEpKChwdHUs8LjMzE48ePYKZmZlW0gAU/eX/8OHDMsd2dnbGggULsHTpUowdOxZOTk7w8/PD4MGD0aZNGzFP55lSUlIAlP68nyb2/f/062Zubl5iAlWa4cOH48KFCzh48CAOHjyI5s2b480338SgQYOq1e9WcHAwpk+fji+++ALLli1Dhw4d0L9/f3Tv3l29lqgylfXzL2ndVmJiIgDgm2++wZo1azTqitfElbRHWHk+W190TIxIy+rVq/Haa6+V2WbLli1YuHAh+vXrh5CQEPWH78qVK7Fq1Sqt9nK5HIIgaH2Al6b4FH157N69G/Xq1St3e136fl6V9hwr+tyLz5w8D+rXr48jR46IPv6dd95B79691QnAL7/8gp07d2LUqFGYM2dOhWKrzNdR3+9/GxsbrFy5EtevX8dvv/2Gffv2Yfny5fjhhx+wZs0a9bTe865NmzY4cuQIjh8/joMHD+LIkSM4evQo2rZtiw0bNsDKykp0308uNaioefPm4e233y53+xfh86+i+AqRWvG6g4yMDK26rKwsjVPzP//8MwAgMDBQ6y/SkvotLCzEgwcPtOru3buHnJycCsVb0ingjIwM7p5dAcVnDAsLCzXKn5wirWr37t3TKit+b5Y0/VrM0dERNWrUQEZGRolfQNeuXcOVK1fKHFsQBCgUCtjZ2eGdd97B+vXrsX//frz88svYuHGjxhRSWYpfx6f/Gi9pKtDV1RVAyb9/Jf3lb6j3v1KphCAIaNy4MaZMmYIjR45g6dKlyM7OxjfffFMlYxqCXC6Hqakp/Pz88OWXX+LPP/+En58fYmJisG/fvnL1UdrZmJJ+j4rf0yX9/EsqK17rVNLPPz8/H//884/oz9YXHROjF5S1tbX6S08ul2PhwoXo1asXgKK566dt3LgRwcHB6g/64qmZp88Apaamah1bvCtyVFSURnl2djb8/PwQGxsr6jm89dZbpca7fPlybNiwQVS/9N+p+zt37qjLCgoKSlyzUJYn32dA0aXKly9fLtexJ0+e1HickpKCq1evom3btqVOowFFfxH37t0beXl5WmuJFAoF/P39tfp+WnR0NPr166dR1qhRI3Tr1g0A8OjRI3X5089x/fr1+PfffwH89zo+/Xtx9uxZrTH9/PwgkUhw/PhxjXKlUono6Git9lX9/i/pMyI1NRVz5szBunXr1O0kEgkGDx6MWrVqITs7u0JjGpPmzZtrJDA1atTA0KFDAUDjeRZfQFKc/ERFRWHbtm0AiqatzM3Ny/Xzb968OVxcXHD69Gk8fvxYo66k92uvXr1gbm5e4lnR3377DdOnT6/QpfVlva+rOyZGL6gmTZrgxo0bUCgUOH36NHbu3InGjRtj5MiRiIyMxK5du6BQKCAIAg4fPozw8HDMnj1bfXzv3r0BACEhIep1RcePH8dvv/2mNdaHH36IFi1aYM2aNeq/1B8+fIiAgAC0adMG7du3F/Uc+vTpg+7du2Pr1q34/fffIQgC5HI5tmzZgqNHj2LKlCmi+qX/vqTXrVuHwsJC5OXlISQkROc1JE2aNEFKSgry8vKQmJiIdevWlftU/p9//okTJ05AEARkZWVh4cKFMDc3L9c01rRp0+Dq6org4GBcu3YNQNGXWfHVPuVZcH/9+nX89NNP6i+8mzdv4ujRo2jatKnGVUJNmjRRX3CQmZmJ7777Tv3F1rZtW9SuXRs7duzAgwcPoFAosGfPnhIXuzdq1AgjR45EdHQ0tm/fDqVSidzcXCxbtqzENWBV/f4v6TOiePpo69at6t9lQRAQERGBhw8faiWTz7uQkBB1EpSVlYVffvkF1tbW6N69u7pN06ZNAQBXr16FQqHAhg0b1Ot/LCws0KlTJ/zxxx/q1ys2NhYnTpzQGsvU1BRz585Fbm4uFi9ejNzcXCgUCvz6668lJiQuLi749NNPERsbi7CwMPUVaKdOnUJISAhmzpxZocSorPd1dScRKnOyk54b586dwxdffIG0tDTY2Nhg3LhxeOeddwAUTZNt3boVqampsLa2hru7u8YlwUDRh2F4eDh27tyJtLQ0ODo64rXXXoOVlRV27NgBBwcHDB48GDNnzgRQtMFj8WZpeXl5sLKyQrdu3TBp0iT1Jb7Dhg1Tb4hXs2ZNdOrUCcuXL9fYEO/JcqDor7Tw8HDs3r0bmZmZsLGxQbNmzTBp0iT1VVlPb1ro5OSEunXrIiIiQp8veZWLjY3FuHHj1BuzOTo6IigoCGlpaQgNDcW9e/dgaWkJe3t7HD58GEuWLEFUVBSysrJgZ2eHJk2aaFzGvn//fqxZswbp6elo2LAhJkyYgKNHjyIiIgJOTk4YOnQounfvjrFjx2q8tkOHDlV/KScmJmLu3Lm4ceMGLC0t8e6772LcuHEaGzza2dnByckJhw8fBvDfOrWIiAhs3rwZJ0+exMOHD7U2eDx69Cg+//xzjec7ZcoU9V/1mZmZWLlyJaKioqBQKGBtbY0uXbpg/Pjxz5z+zcnJwc6dO9UbmMrlctjY2OCNN96Av7+/xvH37t1DYGAgLly4AHNzc/To0QPz589Xn02Ni4tTb7Tp5OSkXqQ8Z84c1KxZE82aNVOf3VEqlVi3bh22b9+OnJwc9e9RXl4eVq9eDQcHB3Tq1AlffvklAPHv/3HjxuGtt97S2LSzuHz48OEASv+MuHLlCnbu3IlTp04hKysLgiDAxcUF7733HgYPHlyh97Ax2bt3Lw4ePIiEhAQUFBTAzMwMrVq1wvjx4zWu+BQEAYsWLVK/f728vBAcHKz+IyIzMxOLFi3Cv//+CwsLC3To0AGjRo3C22+/DRsbG9jY2ODw4cOws7MDUHTGaeXKlUhOTkatWrXQsWNHdO7cGRMmTICdnR0cHBw0tlc4evQo1q1bhxs3bsDKygr169fHxx9/rJG8iflsfdb7ujpjYkRERqU4MYqKilLvQUREpC+cSiMiIiJSYWJEREREpMKpNCIyCk/fRPbp9TRERPrAxIiIiIhIhVNpRERERCpMjIiIiIhUmBgRERERqTAxIiIiIlJhYkRERESkwsSIiOgZ1qxZAw8PD/U/Iqq+eLk+EVE5jRgxAtHR0YiPjzd0KERURXjGiIiIiEiFiRERERGRipmhAyCiF89vv/2GzZs3IzExEYIgwNXVFZ06dcKAAQNgZmaGbt26qdsuWbIE2dnZ2LlzJ27duoWaNWuiV69emDp1Kuzt7bX6Pn78ONatW4dLly5BoVCgUaNGGDJkCN577z2YmPz3t2Bubi727NmDI0eO4Nq1a8jMzISTkxM6d+6MKVOmoHbt2s98Hrdu3dKIFQAGDhyI4OBgneI5d+4chg0bpj5m48aNSEhIwLZt25CSkoLCwkKtfomoighERHq0adMmQSqVCj/88IPw4MEDITs7Wzhw4IDQpk0bYfbs2ep2u3btEqRSqdCrVy8hMDBQSEtLE2QymbBz506hWbNmwuDBg4X8/HyNvtetWydIpVIhICBAyMjIELKzs4VNmzYJnp6ewpw5czTaxsbGClKpVFiyZIm67zNnzgj9+/cXunfvLmRnZ2vFPnz4cEEqlWqUXbt2TejcubMQERGh1V6XeARBEL799ltBKpUKH374obBs2TIhLS1NuHPnjtCnTx+N14aIqg4TIyLSqwEDBgje3t5a5V9//XWJiZGfn5+gUCg02gYHB6uTq2KXL18WPD09BT8/P0Eul2u0nzlzpiCVSoUTJ06oy65evSp8/PHHWnHExcUJUqlU+PHHH7Xqnk6MEhIShE6dOgn79u3TaqtrPILwX2I0atQojfK9e/cKW7Zs0RqDiCof1xgRkV5JJBJkZWXh77//1ij/+OOPMXPmTK32vXr10pgCA4DevXsDAPbu3asu27FjB5RKJQYOHAhTU1ON9n379gUA7N69W13WpEkTrF27Vms8qVQKAPi///u/Mp9HfHw8PvroIwQEBOCtt97Sqtc1npKeX7H+/fvj/fffLzMeIqocXGNERHo1cuRIBAQEYPTo0WjXrh369OmDHj16wMnJCXZ2dlrt69evr1XWqFEjAMC1a9dQUFAACwsLxMbGAgC8vLy02terVw8AcPHiRY3yM2fOYN26dYiPj0d6ejoUCoW6Lisrq9TnEBcXhw8//BAA0L59+xLbiInn6Xoi0j8mRkSkVwMGDECDBg2wdu1anDhxAtHR0Vi8eDF69uyJOXPmoE6dOhrtbWxstPqwtrYGAAiCgMePH8PCwgI5OTkAgPHjx5c69v3799X///XXXzFr1iy0atUKK1euhFQqhYWFBQA8cxPHjz/+GG3btsWxY8fwxRdf4Ntvv9Vqo2s8T7KysipzfCKqOkyMiEjv2rVrh3bt2iEzMxOHDh3Cli1bcODAAVy5cgW//vorzM3N1W1lMpnW8bm5uQAAExMT2NraAoD6CrXw8HC8/vrrz4xh9erVEAQBCxcuhKenp07xf/HFF+jatSveffddHD58GPv371dPjxXTNR4iMg5cY0REenXixAk8fvwYAODo6Ij3338fERERaNKkCW7cuIFr165ptE9NTdXq48aNGwCK1gkVn+Vp3bo1AOD27dsljnvlyhWcP39e/bi4nZubm0a7vLy8Zz6HHj16wMzMDMuWLYOlpSUWLlyIu3fvarTRNR4iMg5MjIhIrz777DOcOXNGo8zCwgKurq4AAEtLS426Q4cOQalUapQdOHAAQNGeQcWGDRsGU1NTREREaI0pk8kwevRo/PXXX+oyFxcXANC6vcfZs2fL/VwaN26M6dOn4+HDh5g/f75Gna7xEJFxYGJERHq3dOlSnDp1Co8fP8ajR4+we/du/PXXX+jUqZN6YXWxl156CfPmzUNGRgZyc3Px888/Y/PmzWjdujWGDx+ubufh4YFZs2bh7NmzCAgIwPXr15GXl4cLFy5g7NixqFOnDkaNGqVu/8EHHwAA5s2bh9jYWOTm5iI6Ohqff/65Ts9l1KhR8PHxwe+//45du3aJjoeIjANvIktEenX27Fns3bsXZ8+exZ07dyCRSPDSSy+hf//++N///qdeeLx7924EBgYiKCgIJiYmWL9+PRITE1GjRg28+eabmDZtWolXsZ04cQI//vgjLly4ALlcjvr166Nnz5748MMPUbNmTY22+/fvx/r163Hjxg1IJBK0aNECn3zyCT766CN1m6CgIABAYGCgxrHFO1H7+flpTZdt2rQJPj4+5Y6npB20i8ceNGiQri8xEVUAEyMiMkpPJkZMDohIXziVRkRERKTCxIiIiIhIhVNpRGRUSltvExUVhZdeeskAERHRi4SJEREREZEKp9KIiIiIVJgYEREREakwMSIiIiJSYWJEREREpMLEiIiIiEiFiRERERGRChMjIiIiIhUmRkREREQqTIyIiIiIVP4f8asftRYvD8sAAAAASUVORK5CYII=","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","multiple students 29.0 0.003755 0.004297 0.000127 0.000892 0.002291 0.004942 0.017520\n","student 29.0 0.145835 0.054895 0.040153 0.105824 0.139083 0.176111 0.279475\n","teacher 29.0 0.850410 0.056019 0.709941 0.821598 0.858346 0.890292 0.959623\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer = QuantitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's plot the talk time ratio between the speakers.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":747},"executionInfo":{"elapsed":650,"status":"ok","timestamp":1703934093286,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"uue-7HjKW4M9","outputId":"44706530-0c0a-4c0d-93c9-8d7567ad3034"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["student_reasoning\n","\n","Average statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","multiple students 1.0 0.000000 NaN 0.0 0.000000 0.000000 0.000000 0.000000\n","student 29.0 0.208633 0.163928 0.0 0.085106 0.166667 0.321429 0.615385\n","teacher 0.0 NaN NaN NaN NaN NaN NaN NaN\n","\n","\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# What about the student reasoning? How often does the student use reasoning?\n","quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We change this to \"avg\" because we're now looking at within-speaker statistics.\n"," value_as=\"avg\",\n"," # We can set the y-axis limits to [0, 1] because the student reasoning column is a binary column.\n"," yrange=(0, 1)\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"U7gV6jBIW4M9"},"source":["Note, the tutor has no `student_reasoning` because we did not annotate the tutor's utterances for student reasoning.\n","We can easily remove the tutor from the plot by dropping na values:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":574},"executionInfo":{"elapsed":374,"status":"ok","timestamp":1703934099027,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"R33PTU5eW4M9","outputId":"b478931f-fac6-4997-b7dd-4ac59014fd12"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":484},"executionInfo":{"elapsed":254,"status":"ok","timestamp":1703934100425,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"6TbigOpBW4M-","outputId":"4250489f-64e8-4426-bc05-86a578b3ec5f"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAHCCAYAAAAKFAY/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABAXklEQVR4nO3dd3xUVf7/8fckIY0kLEVCQEMohlAUUAhNdCnSXAtVcSkrxVUEBXaRhKKIdL+yGxWMVIEVBVZQVlBQ8MeC0uuyQAJSQg/NkB4yub8/nMw6BkJyM8lM4PV8PPbxcM4595zPsA+ct/eee6/FMAxDAAAAkIerCwAAAHAXBCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADZuH4xWrlypJk2aKCoqqtDHZmZm6t1331WbNm3UokULPfnkk1qxYkUxVAkAAO4EXq4u4FYSExP1xhtvKD4+XsnJyYU+3mq1asiQIfrpp5+0YMEC1axZUxs3btSrr76qxMREvfLKK8VQNQAAKM3c9ozRa6+9poiICM2fP9/U8V9++aW2bNmiv/71r6pZs6YkqW3bturRo4dmz56thIQEZ5YLAADuAG4bjGbOnKnhw4erTJkypo5fvny5vLy81K5dO4f2jh07Kjs7W59//rkzygQAAHcQtw1GISEhpo/NzMzUgQMHFBoaKj8/P4e+OnXqSJJ27NhRpPoAAMCdx233GBVFQkKCrFarKleunKevQoUKKlOmjE6dOlXoebOzs5WUlCQfHx95eLhtpgQAAL+Sk5OjzMxMlStXTl5e+UefOzIY5W7W/u3Zoly+vr66fv16oedNSkrSyZMni1IaAABwkbCwMFWsWDHfMXdkMCouPj4+kqTQ0FD5+vq6uBoARWUYhubOnav4+HgZhmFvt1gsCg8P1+DBg2WxWFxYIQBnyMjIUEJCgv13PD93ZDAKDAyUJKWnp9+0PyMjQ0FBQYWeN/fyWdmyZeXv72++QABuo3fv3hoyZIisVqu9zdPTUxMmTDD17wkA7sfT01OSCrQN5o7cKBMaGipPT08lJibm6bt69apu3Lih6tWru6AyAO6matWq6tGjh/3MkMViUY8ePYp0AwiA0uuODEY+Pj568MEHlZCQkOesUVxcnCQpMjLSFaUBcEM9evRQhQoVJP1yg0aPHj1cXBEAV7kjgtGFCxcc9gdIUq9evZSdna0NGzY4tK9bt05eXl7q1q1bSZYIwI35+vpqyJAhuueeezRkyBD2EAJ3sVIfjObOnavHHntMkyZNcmh/+umn1apVK7377rs6fvy4JOn777/XP//5Tw0ZMoRLaQAcREZGasGCBZxNBu5ybrv5eunSpZo1a5Z9Q+TatWu1efNm+fn56bvvvrOPu+eee+Tv76/g4GCH4z09PfXhhx/q/fff14ABA5SZmamKFSvqzTffVM+ePUv0uwAAgNLBYvz2GhRuKS0tTYcPH1bdunW5Kw0AgFKiML/fpf5SGgAAgLMQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANl6uLiA/u3btUkxMjI4dOyYPDw81b95co0aNUpUqVQp0/E8//aTZs2dr7969Sk9PV2BgoFq2bKkhQ4aocuXKxVw9AAAobdz2jNG2bdvUv39/NW7cWJs3b9bXX3+tpKQk9erVS5cuXbrt8XFxcerevbuOHj2qRYsWaevWrXrvvff0/fffq1u3brpy5UoJfAsAAFCauGUwys7O1vjx4xUaGqrhw4fLy8tLQUFBmjx5si5fvqyZM2fedo7FixcrPT1dI0eO1H333SdJioiI0ODBg3Xp0iWtWLGiuL8GAAAoZdwyGG3fvl0JCQnq0KGDPDz+V2JwcLAaNWqkNWvWKDU1Nd85Ll68KEn2UJQr9/P58+edXDUAACjt3DIY7dixQ5JUp06dPH0RERHKzMzU/v37850jPDxcknTixAmH9pMnT0qSatWq5YRKAQDAncQtN1/nhpmbbZDObTt58qRatmx5yzkGDx6sH374QTNnzlRoaKhq166t/fv3a+7cuXrggQfUq1cv0/VZrVZZrVbTxwMAgJJTmN9stwxGKSkpkiRfX988fbltycnJ+c5Rvnx5ffzxx5o0aZKefPJJlSlTRlarVT169FB0dPRN5y6o+Ph408cCAAD35ZbByBmOHj2qP//5z6pYsaLWrFmjmjVr6vjx44qOjlbv3r01e/ZsVatWzdTc4eHh8vf3d3LFAACgOKSlpRX4pIZbBqOAgABJUkZGRp6+3LbAwMB85xg/frzOnz+vRYsW2Tdc165dWzNnzlSHDh00btw4LVy40FR9np6e8vT0NHUsAAAoWYX5zXbLzdc1atSQJCUmJubpy20LCwu75fFpaWnat2+fqlSpctO70kJCQrRt27abBi8AAHD3cstgFBkZKemXhzT+VlxcnHx8fNSwYcNbHp+RkSHDMGSxWG7a7+HhoZycHKWlpTmnYAAAcEdwy2DUrFkzhYaGav369crJybG3X7x4UXv37tUTTzyhsmXL2tsTExOVnZ1t/1yhQgVVq1ZN58+fz/O8ogsXLujcuXOqWrWqKlSoUPxfBgAAlBpuucfIy8tLEydO1KBBgxQTE6NXX31VaWlpGjt2rCpVqqQRI0bYx65du1YjRoxQmzZtFBsba28fNWqURowYoddff10zZsxQSEiIzp8/r9dff105OTkaNWqUK74a4MBqterEiRPKzMx0dSl3PavVqqtXr6pChQrsIXQTPj4+qlGjBv9/oES5ZTCSpBYtWmjRokWKiYnRI488IovFoubNm2vZsmUOzzcqX768AgICFBIS4nB8586dVaFCBc2fP1/PPPOMcnJy5OHhoQcffFALFy5UixYtSvorAQ5u3LihqKgoHv8A5CM8PFzTpk1TmTJlXF0K7hIWwzAMVxdRWqSlpenw4cOqW7cut+ujyM6cOaOXX37Z1WUAbu/DDz/Uvffe6+oyUIoV5vfbLfcYAXeD4OBg+6trANxceHi4goODXV0G7iJueykNuNOVKVNGM2bMYI+RGzh58qTDHsWXXnop30eCoGSwxwiuUORgdP36da1bt04HDx7U1atX9f777+vUqVO6dOmSmjRp4owagTuWp6enateu7eoy8BthYWGqX7++q8sA4AJFCkZffvml3n77baWmpjo8N+jChQvq37+/unfvrsmTJzulUAAAgOJmeo/R1q1bFRUVpXLlymnAgAEaO3asva9Zs2ZasWKFfvzxR/3zn/90SqEAAADFzXQwmjt3rrp166Zvv/1Wo0aNUt++fR36H3jgAb3xxhtavnx5kYsEAAAoCaaD0cGDBzV8+HB5eNx6isjISJ06dcrsEgAAACXKdDDKzMxUQEBAvmNSUlKUlZVldgkAAIASZToY1ahRQytXrsx3zJo1a1SzZk2zSwAAAJQo03elde3aVVOmTNHBgwfVo0cP1alTR9Iv7xs6d+6cVq5cqfnz5ys6OtppxQIAABQn08GoT58+2rZtm1atWqUvvvjC3v7AAw8o9y0jjz/+uJ577rkiFwkAAFASTAcjT09PzZ49W//4xz/06aef6vjx45IkwzB0//33q3fv3urdu7f92UYAAADurkgPeLRYLOrbt6/69u2r1NRUpaSkKCgoSH5+fs6qDwAAoMSY3nz968tnklS2bFkFBwfnCUV169Y1uwQAAECJMh2MCrKp+qeffrLvNwIAAHB3poORYRg6evToLfs//vhjde/enT1GAACg1DAdjCRp4MCB+umnnxzaTp8+rT59+mj69Ony9/cvUnEAAAAlqUjBaNy4cRowYID9jrSlS5fq6aef1q5du9S+fXt99dVXXEoDAAClhum70qZOnaoOHTooOztbAwYMUFhYmLZt26bAwEBNmzZNzzzzjCRpw4YNzqoVAACgWBXpydeS1KVLF2VnZysqKkqNGzfWzJkzFRISYh+3c+dOVatWreiVAgAAFLMiXUrL9dRTT2nKlCm6cOGCbty44dDHK0EAAEBpUeAzRv369bvtmLS0ND333HOqXbt2kYoCAABwhQIHox07dhR40l+P5XZ9AABQWhRqj9GRI0cKvUBEREShjwEAAHCFAu8xatGihakFcjdpAwAAuLsCB6OFCxeaWmDYsGGmjgMAAChpTrkrLT/t2rUr7iUAAACcwvRzjHIdOnRIe/bsUVJSEk+5BgAApZrpYJSdna2//vWvWrdunQzDkMVicQhG3I0GAABKG9PBaP78+dq6dauio6N1//3364UXXtDixYslSRkZGdq9e7cWL16sMWPGOK1YAACA4mQ6GK1evVoTJ05Ux44dJf1yhigyMtLe/+ijjyosLExbtmxRz549i14pAABAMTO9+frMmTNq2bKl/fPN9hc9/vjj2rZtm9klAAAASpTpYOTn5+ewj6hixYo6e/asw5iff/5ZKSkp5qsDAAAoQaaDUfXq1fXtt986fJ49e7asVqskKSsrS++8846qVq1a9CoBAABKgOk9Rq1bt9abb76pM2fOaNiwYXr22Wc1evRobdq0SdWqVdOpU6eUlJSkV1991Zn1AgAAFBvTwahnz57y9/dXhQoVJElPPfWUdu3apRUrVujy5cuSpI4dO2rgwIHOqRQAAKCYmQ5GwcHBGjBggP2zxWLR22+/raFDh+rcuXMKCQlRlSpVnFIkAABASXD6K0GCg4PVuHFj7dixQ7t27XL29AAAAMXGdDCqW7duvv3Lly9X3759FRsba3YJAACAEmU6GN3uvWj/+Mc/NH/+fH322WdmlwAAAChRpoNRQd6FVr9+fSUlJZldAgAAoEQVePP1d999pw0bNji0jRkz5pZnjrKysnTw4EHVrFmzaBUCAACUkAIHoyNHjmjVqlX2zxaLRStXrsz3mOrVq2v8+PHmqwMAAChBBQ5G/fv3V9euXSX9sr+offv2ec4g5bJYLAoKClJAQIBzqgQAACgBBQ5GgYGBCgwMtH9u2rSpqlWrVixFAQAAuILpzddLlixxZh0AAAAuZ/rJ17kyMzO1adMmHT58WMnJyQoMDFS9evX02GOPydvb2xk1AgAAlIgiBaP169drwoQJunbtmqRf9h7l3sZfsWJFvfXWW2rXrl3RqwQAACgBpoPRv//9bw0fPlze3t569NFHVaNGDfn5+Sk9PV3Hjx/Xjh079Oqrr2rOnDlq1aqVM2sGAAAoFqaD0axZs/Twww8rJiZGFSpUyNN/5coVvfbaa3rvvfcIRgAAoFQwHYyOHDmi1atX3zQUSb9cSps0aZKefvpp08UBAACUJNN3pfn6+qpq1ar5jqlatar8/f3NLgEAAFCiTJ8xatKkibZv365HHnnklmN27NiRpz86OlpTp041uyyKKDU1VSdPnnR1GYBb+e3fCf6OADcXFhamsmXLurqMYmU6GP31r3/Va6+9psuXL6tz587y8fGx92VkZGjt2rX64osv9Le//c3huC+++IJg5EInT55UVFSUq8sA3FpsbKyrSwDc0rRp01S/fn1Xl1GsTAejQYMGKSUlRdHR0YqOjtbvfvc7+fv7Ky0tTT///LOkX/YZ9erVy1m1AgAAFCvTwejs2bOqWrWqwyk1wzDk5+cnPz8/hzYAAIDSoEgPeNy4cWOhj4mIiCjKknAyn+CH5eH7O1eXAbicYeTIyE6XxctPFovp+1KAO0pOxs/KvLjb1WWUKNPBqGvXriV6HIqHh+/v5OV/j6vLAAC4oWxXF+ACpv+zyOwGajZeAwAAd1Xkl8jezkMPPaQ9e/aYOnbXrl2KiYnRsWPH5OHhoebNm2vUqFGqUqVKgeeIj4/Xhx9+qH379iktLU0+Pj6qV6+eBg0apCZNmpiqCwAA3JlMB6OdO3fedoxhGEpPTzc1/7Zt2zRw4EANHDhQCxcuVFpamkaOHKlevXrp888/1z333P7yz6ZNmzRy5EiNHz9e77zzjry8vLRp0yYNHTpUDz30EMEIAAA4MB2M+vbtK4vF4sxa7LKzszV+/HiFhoZq+PDh8vDwUFBQkCZPnqw2bdpo5syZt70kd/XqVY0aNUqvvPKKnnnmGXv7Y489pn79+hUoWAEAgLtLkS6lvfLKK3na0tPTdeHCBW3ZskX16tXTww8/XOh5t2/froSEBL300kvy8PjfNqjg4GA1atRIa9as0bhx4/J9+uZnn32mlJQUde/ePU/fqFGjCl0TAAC48xUpGA0dOvSWfZmZmYqKitJDDz1U6Hl37NghSapTp06evoiICO3evVv79+9Xy5YtbznHd999p/vuu0/lypUr9PoAAODuZDoYbd26Nd9+Hx8fjRw5UiNGjMg3wNzMiRMnJEmVK1fO05fbdvLkyVvOa7VadfToUTVq1Ehbt27VnDlzFB8fL09PTzVq1EhDhgwp0vOUrFarrFar6eNdKScnx9UlAABKqZycnFL5+1eYmk0Ho/Lly992TGBgoI4ePVrouVNSUiRJvr6+efpy25KTk295/PXr15WVlaX4+HhFRUVpxowZevjhh5WQkKBRo0apV69e+vjjj02dzZJ+udOttDp16pSrSwAAlFJHjx5VVlaWq8soVsV2u75hGJo/f76CgoKKa4lbyszMlCT9/PPPmj59upo1ayZJqlmzpmbMmKEnnnhCkyZN0sqVK03NHx4eLn9/f6fVW5K8vb1dXQIAoJS6//77Va9ePVeXUWhpaWkFPqlhOhj169fvln3p6elKSEjQ9evX9eKLLxZ67oCAAElSRkZGnr7ctsDAwFse/+szTS1atHDoq1WrlqpVq6b//ve/unr1qipUqFDo+jw9PeXp6Vno49zBrzezAwBQGB4eHqXy968wNZsORrkbpG/G19dX1atX1+DBgzVgwIBCz12jRg1JUmJiYp6+3LawsLBbHl+uXDmVLVtWqampN73kV6lSJZ05c8Z0MAIAAHemIl1KO3LkiLPqcBAZGanY2FjFxcWpS5cuDn1xcXHy8fFRw4YNb3m8xWJR48aNtWXLFl25ckUhISEO/VevXpUkQhEAAHBg+rpKcb4MtlmzZgoNDdX69esd7qK6ePGi9u7dqyeeeMLhGUaJiYnKznZ81V23bt0kSVu2bHFoT0hI0JkzZ9SoUSOCEQAAcFDiL5GVpHbt2uXb7+XlpYkTJyohIUExMTGyWq1KTk7W2LFjValSJY0YMcI+du3atWrdunWeZyp16dJFbdq0UUxMjPbu3Svpl2AVFRUlPz8/vfHGG6brBwAAd6Zif4nszZw9e/a2Y1q0aKFFixYpJiZGjzzyiCwWi5o3b65ly5Y5PN+ofPnyCggIyHO5zGKx6L333tOcOXP0+uuv6+eff5aXl5datGihSZMmqWbNmk7/XgAAoHRzSTAq6DvWmjRpoiVLluQ7pkWLFtq9e/dN+7y9vTV06NB8n9ANAACQi3u3AQAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABg45JgZBiGK5YFAADIl+nnGOU+vbpNmzYaN25coY7dsGGD2WUBAACKjekzRmfPnlXjxo3VvXv3Qh9brVo1s8sCAAAUG9NnjPz8/DRx4kT5+/s7sx4AAACXMX3GqE6dOrp48eJtx0VHR5tdAgAAoESZDkbDhg3T1KlTlZGRke+4L774wuwSAAAAJcr0pbS9e/cqKytLjz32mFq3bq2QkBD5+Pg4szYAAIASZToYffDBB/Z//uqrr245zmKxmF0CAACgRJkORpK0ePHifPsNw9Cf/vSnoiyBYmbN+NnVJQAA3NTd+BthOhh5e3srMjLytuNCQkLMLoFikJ2d7fA56+JuF1UCAChtfvsbcicyvfn6wIEDBRq3ceNGs0ugGFy7ds3VJQAASqm74TfEaa8EuXz5so4cOeKs6VBMypcv7+oSAACl1N3wG1KkPUYZGRmKjY3VqlWrlJiYKIvFokOHDmnLli2aN2+exowZo/DwcGfVCifw8nL8v9w7+GF5+v7ONcUAANyaNeNnhy0Xv/0NuROZ/oYpKSnq06eP/SxRuXLldP36dUlS7dq15evrq759+2r58uWqXr26c6qF03n6/k5e/ve4ugwAANyC6UtpsbGxSkxM1OTJk7V3715t377d3lelShXFxsaqU6dOio2NdUqhAAAAxc10MPr22281Y8YMde/eXX5+fjcdM3jwYO3cudN0cQAAACXJdDA6f/68mjVrlu+YihUrKjEx0ewSAAAAJcp0MAoICFBCQkK+Y+Lj4xUUFGR2CQAAgBJlOhg1a9ZM0dHROn369E37k5OTNWXKFLVs2dJ0cQAAACXJ9F1pQ4cOVY8ePdSpUydFRkYqIiJCkhQTE6OzZ89q48aNMgxD06dPd1qxAAAAxcn0GaNatWrpo48+UoUKFbR161YtXLhQhmEoNjZWq1evVkBAgObMmaOwsDAnlgsAAFB8ivSkpsjISG3YsEEbNmzQgQMHlJKSosDAQDVs2FBt2rSRt7e3s+oEAAAodkV+hKW3t7c6d+6szp0737T/gw8+0NChQ4u6DAAAQLEzfSmtXbt2BRo3a9Yss0sAAACUKNPB6OzZs/n2p6SkKCoqyuz0AAAAJc50MJKkt95666btP/74o5588kl98cUXRZkeAACgRBUpGB07dkyTJk2yf05PT9eECRM0cOBAXbp0ib1FAACgVDG9+bpq1ar66KOPNHDgQE2dOlXt27fXmDFjdPr0adWqVUszZsxQ/fr1b3vJDQAAwF2YPmO0ceNG+fv7a+7cudq3b5/69eunM2fOqH///lq1apXq168vSZo6darTigUAAChORbqUJv3yzrT58+erXr16evzxxxUdHe3w/KKC3r0GAADgagW+lLZz5858+19++WWNGzfOflkt17lz58xXBwAAUIIKHIz69u0ri8WS7xjDMLRo0SItXry4yIUBAACUtEJtvn7llVcKNblhGJo9e3ahjgEAAHCVQgUjM7ff8+RrAABQWhR48/Unn3xiaoENGzaYOg4AAKCkFTgYPfzww6YW+OCDD0wdBwAAUNKKfLv+7fBaEAAAUFqYfvK1JB06dEjvv/++9uzZo+vXrzurJgAAAJcwHYwOHTqk3r17KyAgQPfff7927dqlpk2bSpIyMzN17Ngxpaenq0mTJk4rFgAAoDiZDkazZs1S27Zt9X//93/y9PRU3bp1tWTJEnt/UlKSRo4cyZOvAQBAqWF6j9GePXv02muvydPT86b95cqV09ixY7V8+XLTxQEAAJQk08EoNTVVVatWtX/29vZWamqqw5gqVaroxIkT5qsDAAAoQaaDUZUqVXT69Gn755CQEO3atcthzA8//CB/f3/z1QEAAJQg03uMGjRooMmTJ2vGjBmqVKmSIiMjNXbsWL388ssKDQ1VXFyc5syZo4YNGzqzXjhZTsbPynZ1EYAbMIwcGdnpsnj5yWIp9ieZAKVCTsbPri6hxJkORl26dNGoUaM0bNgwffrppxo8eLDWrFmjSZMmSfrlPWllypTR8OHDnVUrikHmxd2uLgEAALdhOhi1b99ee/futX++7777tHz5cn388cc6d+6cQkJC9Pzzz6tevXpOKRQAAKC4FekBj79Vq1Ytvf32286cEgAAoMQ4LRhdvnxZly9fVkREhLOmRDEICwvTtGnTXF0G4FZOnjyp2NhY++eXXnpJYWFhrisIcFN3w9+LIgWjjIwMxcbGatWqVUpMTJTFYtGhQ4e0ZcsWzZs3T2PGjFF4eLizaoUTlC1bVvXr13d1GYBbCwsL4+8JcJcyfetFSkqKnnvuOcXGxurixYsKCgqSYRiSpNq1a8vX11d9+/bVqVOnnFYsAABAcTIdjGJjY5WYmKjJkydr79692r59u72vSpUqio2NVadOnRxOTwMAALgz08Ho22+/1YwZM9S9e3f5+fnddMzgwYO1c+dO08UBAACUJNPB6Pz582rWrFm+YypWrKjExESzSwAAAJQo08EoICBACQkJ+Y6Jj49XUFCQ2SW0a9cu9e3bVy1atFCrVq30l7/8RRcuXDA118GDB1WvXj21bdvWdD0AAODOZjoYNWvWTNHR0Q7vS/u15ORkTZkyRS1btjQ1/7Zt29S/f381btxYmzdv1tdff62kpCT16tVLly5dKtRcN27c0JgxY2S1Wk3VAgAA7g6mb9cfOnSoevTooU6dOikyMtL+/KKYmBidPXtWGzdulGEYmj59eqHnzs7O1vjx4xUaGqrhw4fLw8NDQUFBmjx5stq0aaOZM2dq6tSpBZ5vzpw58vf3V0hISKFrAQAAdw/TZ4xq1aqljz76SBUqVNDWrVu1cOFCGYah2NhYrV69WgEBAZozZ46ph0Ft375dCQkJ6tChgzw8/ldicHCwGjVqpDVr1ig1NbVAcx07dkwLFizQ5MmTHeYCAAD4rSI94DEyMlIbNmzQhg0bdODAAaWkpCgwMFANGzZUmzZt5O3tbWreHTt2SJLq1KmTpy8iIkK7d+/W/v37b3uZLicnR2PGjNGgQYNUq1YtU7UAAIC7R5FfCeLt7a3OnTurc+fOzqhHknTixAlJUuXKlfP05badPHnytsFo0aJFyszM1ODBg51WmyRZrVb2KwF3kJycnDyf+TsO3DkK8/fZKe9Ku3r1quLi4pSSkqKAgABFRESofPnypudLSUmRJPn6+ubpy21LTk7Od46EhAS9//77Wrx4sby8nPquXMXHxzt1PgCu9dsn9B89elRZWVkuqgaAKxUpMZw+fVqTJk3S5s2b7a8DkSQPDw899thjio6O1n333VfkIgvLMAyNHTtWzz//vBo0aOD0+cPDw+Xv7+/0eQG4xm8v+99///2qV6+ei6oB4GxpaWkFPqlhOhidOHFCzz//vK5du6aAgACFhobKz89P6enpOnXqlDZu3Kj9+/dr6dKlql69eqHmDggIkPTLS2p/K7ctMDDwlscvW7ZMiYmJGjZsWKHWLShPT095enoWy9wASt5vb8zw8PDg7zhwBynM32fTweidd96Rt7e3YmNj9eijjzr8iyUnJ0f/7//9P7311lt655139MEHHxRq7ho1akjSTZ+anduW391uGzZs0LVr1/I8zPHq1auSpFatWkmSXnvtNfXq1atQtQEAgDuX6WC0fft2xcbGqmnTpnn6PDw81LZtWwUEBGjIkCGFnjsyMlKxsbGKi4tTly5dHPri4uLk4+Ojhg0b3vL4uXPn3rQ9Nyht3Lix0DUBAIA7n+kH++Tk5KhRo0b5jmncuHGeuz0KolmzZgoNDdX69esdjr948aL27t2rJ554QmXLlrW3JyYmKjs7u9DrAAAA/JrpYFSnTp08d3L81smTJ/Xggw86tH3xxRe3ndvLy0sTJ05UQkKCYmJiZLValZycrLFjx6pSpUoaMWKEfezatWvVunVrDR061NT3AAAAyGU6GL388ssaP378Ld+Vdvr0aU2ePFl/+ctfHNqjo6MLNH+LFi20aNEi7dmzR4888og6duyooKAgLVu2zOH5RuXLl1dAQMAtX/eRlZWlVq1aqVWrVjp//rzOnz9v/8ztuAAA4NdM7zH65ptvdPXqVXXq1En169dXSEiI/P39lZaWpvPnz+u///2vHnjgAS1dutR0cU2aNNGSJUvyHdOiRQvt3r37lv3e3t764YcfTNcAAADuHqaD0apVq+z/fODAAR04cCDPmH379mnfvn0ObRaLxeySAAAAxapID3jcsGFDocYbhqHHH3+8KEsCAAAUG9PBqGrVqqpWrVqhj7vVXiAAAABXM7352uyzgHiGEAAAcFfOfbuqfrkb7fvvv5evr686deqkoKAgZy8BAABQLEwHo127dmn06NGSpH/84x8KCQnRgQMH1K9fP2VmZsowDM2ePVsrVqzQPffc47SCAQAAiovpS2mrV6+Wr6+vJk2apODgYEnSlClTlJGRoe7duysqKkoeHh6aN2+e04oFAAAoTqbPGO3du1dTpkyxv7Psp59+0r59+9S6dWtNmjRJklSvXj298cYbBX6oIwAAgCuZPmN05swZ1a1b1/55/fr1slgsevbZZ+1tDz74oC5evFi0CgEAAEqI6WAUEBCgK1eu2D+vXr1aZcuW1aOPPmpvy8zMlJ+fX9EqBAAAKCGmg1GDBg307rvv6tixY3r//fd18uRJdenSRd7e3vYxmzZtUtWqVZ1SKAAAQHEzvcfopZde0h//+EetWbNGhmEoICBAL774oiTp7Nmz+vTTT/XJJ59owIABTisWAACgOJkORg0bNtSyZcu0evVqeXh4qEePHrr33nslSUlJSbpy5Yo6deqkZ555xlm1AgAAFKsiPeCxfv36ql+/fp72evXqaerUqbc8bufOnWratGlRlgYAAHA603uMiqJfv36uWBYAACBfLglGhmG4YlkAAIB8uSQYWSwWVywLAACQL5cEIwAAAHdEMAIAALAhGAEAANgQjAAAAGyK9BwjAEVjtVp14sQJZWZmurqUu9rJkyfz/QzX8PHxUY0aNeTp6enqUnAXcUkw4nZ9QLpx44aioqIUHx/v6lLwG7Gxsa4uATbh4eGaNm2aypQp4+pScJdwyaU0nnoNSBcvXiQUAbcRHx+vixcvuroM3EVMB6Po6GjTiy5ZssT0scCdIjg4WOHh4a4uA3Br4eHhCg4OdnUZuItYDJPXterWravDhw87ux63lpaWpsOHD6tu3bry9/d3dTm4A7DHyH1YrVZdvXpVFSpUYE+Lm2CPEZylML/fpvcYGYahdu3a3XZcmTJlVKVKFbVp00a9e/eWt7e32SWBO46np6dq167t6jIAADamg1HVqlWVkpKipKQkSVK5cuVUtmxZpaam2tsqVaqk7Oxs7dq1S9u2bdNXX32lxYsXy8/PzznVAwAAOJHpPUYLFizQPffco7ffflt79uzR9u3btXHjRm3fvl179uzRxIkTVaNGDa1atUoHDhzQRx99pEuXLumjjz5yZv0AAABOYzoYvfvuu3r99dfVs2fPPNfr/P391atXLw0aNEjTp0+Xh4eHHnvsMY0fP17r1q0rctEAAADFwXQw2rFjh1q0aJHvmBYtWmjz5s32z02bNtXZs2fNLgkAAFCsTAejjIwMXbhwId8xFy5cUGpqqv2zp6enfHx8zC4JAABQrEwHozp16ujNN99USkrKTfuTk5M1YcIERURE2Nt27NihypUrm10SAACgWJm+K+2ll17SK6+8ot///vdq1aqVatSoIX9/f6Wlpen48eP68ccflZaWZn+0/ooVK/Tuu++qY8eOTiseAADAmUwHo7Zt22r69OmaOHGi1q1bJ4vFYu8zDENBQUF655139Oijj0qSTp8+rTZt2qhnz55FrxoAAKAYmH7yda6UlBRt2LBBhw8fVkpKigIDA1WvXj21bdtWZcuWdVadboEnXwMAUPqUyJOvd+7cqaZNmyogIEBPP/20nn76abNTAQAAuAXTm6/79evnzDoAAABcznQwMgxDv//97/X3v/9dCQkJzqwJAADAJUwHI0maMmWKTp8+raeeekp9+vTRqlWrlJ6e7qzaAAAASpTpPUZdu3ZVy5Yt1bJlSyUnJ+tf//qXli5dqrfffludOnVSt27d1KRJE2fWCgAAUKyKfFfabx09elQrV67Uv/71L5UtW1bdunXTn//8Z2cu4TLclQYAQOlTmN/vIl1Ku5ns7GxlZWXpxo0bOnXqlP7+9787ewkAAIBiYfpSWr9+/bR48WJJ0vXr17V69WqtXLlShw8flmEYCggIUK9evdStWzenFQsAAFCcTAejHTt26IcfftA///lPbdy4UVlZWZKkZs2aqVu3burQoYN8fX2dVigAAEBxMx2MJGnQoEEyDEPVqlVT165d1bVrV1WrVs1ZtQEAAJSoIgWjJ598Ut26dVPz5s2dVQ8AAIDLFCkYzZgxw1l1AAAAuJzpu9KOHDlSoHFffPGF2SUAAABKlNNv1/+t6Ojo4l4CAADAKYp0KS01NVUrVqzQnj17lJSUJCc/KxIAAKBEmQ5GV69eVe/evXXq1ClJksViuWkwslgs5qsDAAAoQaYvpcXExMjPz09ffvmlDh06JMMwdOTIER05ckT79+/X/Pnzdd9992nBggXOrBcAAKDYmA5Gmzdv1ptvvqk6derIw8PD4cyQj4+PWrVqpcmTJ+ujjz5ySqEAAADFzXQwSkxMVL169f43kYeHbty44TDmwQcf1MGDB81XBwAAUIJMB6OKFSvq+vXr9s/BwcE6duyYw5j4+Hg2ZAMAgFLDdDCqXbu2w/6hOnXq6K233tLRo0eVlZWlAwcOaPz48apZs6ZTCgUAAChupu9Ka9++vd566y0dP35cH330kQYOHKi+ffvqqaeechj37rvvFrlIAACAkmA6GHXt2lUPPPCA/Pz8JElNmjTR9OnTNWvWLJ09e1ZVq1ZV//791aVLF6cVCwAAUJwshhtvAtq1a5diYmJ07NgxeXh4qHnz5ho1apSqVKly22OPHj2qzz77TJs3b1ZSUpKsVqvq1KmjPn36qHPnzqbqSUtL0+HDh1W3bl35+/ubmgMAAJSswvx+F/srQczatm2b+vfvr8aNG2vz5s36+uuvlZSUpF69eunSpUv5HnvlyhX94Q9/0N69e/Xhhx9q+/bt+v7771W9enUNHz5cs2bNKqFvAQAAShO3DEbZ2dkaP368QkNDNXz4cHl5eSkoKEiTJ0/W5cuXNXPmzHyPz8nJkSRNmTJFtWrVkiQFBgbqrbfeUkhIiD788ENdvXq12L8HAAAoXdwyGG3fvl0JCQnq0KGDPDz+V2JwcLAaNWqkNWvWKDU19ZbH+/v7a+jQoYqIiHBoL1OmjBo0aKAbN27o0KFDxVY/AAAondwyGO3YsUPSL48A+K2IiAhlZmZq//79tzy+bNmyGjZs2E37srOzJUnlypVzQqUAAOBOYvqutOJ04sQJSVLlypXz9OW2nTx5Ui1btizUvFarVQcPHtR9992n+vXrm67ParXKarWaPh4AAJScwvxmu2UwSklJkST5+vrm6cttS05OLvS833zzjS5duqT33nvP4RJdYcXHx5s+FgAAuC+3DEbF4cqVK5o6daqee+45dezYsUhzhYeHc7s+AAClRFpaWoFParhlMAoICJAkZWRk5OnLbQsMDCzwfGlpaXrxxRfVoEEDvfHGG0Wuz9PTU56enkWeBwAAFL/C/Ga75ebrGjVqSJISExPz9OW2hYWFFWiujIwMvfTSS/rd736nmJgYAg0AALgltwxGkZGRkqS4uLg8fXFxcfLx8VHDhg1vO09WVpZeeeUVWSwWzZo1Sz4+PpKkM2fO6Nq1a84tGgAAlHpuGYyaNWum0NBQrV+/3v6wRkm6ePGi9u7dqyeeeEJly5a1tycmJtpvw8+VlZWlYcOGKSsrS7GxsQ4buT/44AN9//33xf9FAABAqeKWwcjLy0sTJ05UQkKCYmJiZLValZycrLFjx6pSpUoaMWKEfezatWvVunVrDR061N6WnZ2tkSNHasuWLWrQoIHmzZun999/3/6/w4cPu+JrAQAAN+eWm68lqUWLFlq0aJFiYmL0yCOPyGKxqHnz5lq2bJnD843Kly+vgIAAhYSE2NuOHj2qb7/9VpK0YMGCEq8dAACUThbDMAxXF1FaFObtvAAAwD0U5vfbLS+lAQAAuALBCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABg4+XqAvKza9cuxcTE6NixY/Lw8FDz5s01atQoValSpUDH5+TkaMGCBVqxYoWuX7+uoKAg9ejRQwMHDpSHB5kQAAA4ctt0sG3bNvXv31+NGzfW5s2b9fXXXyspKUm9evXSpUuXCjTHuHHjFBsbq2nTpmnr1q2aPn265syZo3HjxhVz9QAAoDRyy2CUnZ2t8ePHKzQ0VMOHD5eXl5eCgoI0efJkXb58WTNnzrztHNu3b9fnn3+uwYMHq3HjxpKkRo0a6cUXX9Tnn3+unTt3FvfXAAAApYxbBqPt27crISFBHTp0cLjkFRwcrEaNGmnNmjVKTU3Nd47ly5dLkjp27OjQnvt52bJlTq4aAACUdm4ZjHbs2CFJqlOnTp6+iIgIZWZmav/+/bedw9fXV9WrV3doDw0Nlb+/v30NAACAXG65+frEiROSpMqVK+fpy207efKkWrZsedPj09LSlJiYqPvuu08Wi+Wmc5w8eVLp6eny8/MrcF05OTmSpNTUVFmt1gIfBwAAXCcjI0PS/37H8+OWwSglJUWS5Ovrm6cvty05OfmWx+f23Sr0/HqOwgSjzMxMSVJCQkKBjwEAAO4hMzNTAQEB+Y5xy2DkrsqVK6ewsDD5+Phwuz8AAKVETk6OMjMzVa5cuduOdctglJvmck99/VpuW2Bg4C2Pz+1LT0+/aX9B5rgZLy8vVaxYsVDHAAAA17vdmaJcbnnao0aNGpKkxMTEPH25bWFhYbc83t/fX5UrV9bly5dlGMZN5wgODi7UZTQAAHDnc8tgFBkZKUmKi4vL0xcXFycfHx81bNjwtnOkp6fr1KlTDu2nT59WWlqafQ0AAIBcbhmMmjVrptDQUK1fv95hB/nFixe1d+9ePfHEEypbtqy9PTExUdnZ2Q5z9OrVS5K0bt06h/ZvvvnGoR8AACCXWwYjLy8vTZw4UQkJCYqJiZHValVycrLGjh2rSpUqacSIEfaxa9euVevWrTV06FCHOZo1a6bu3btr7ty52rt3ryRp//79mjNnjrp3784ZIwAAkIdbbr6WpBYtWmjRokWKiYnRI488IovFoubNm2vZsmUOzzcqX768AgICFBISkmeOt99+WzVq1NDo0aOVnJysgIAADR48WAMHDizJrwIAAEoJi3Gz3ckAAAB3Ibe8lAYAAOAKBCMAAAAbghEAAIANwQgA8tG+fXs9/PDDqlOnjrZv3+7qcgAUM4IRALdRp04dRUVFuboMB999953Gjh3r6jIAlBCCEQAAgA3BCAAAwMZtH/AI4O6xdOlSzZo1S9IvT7PfvHmzJKl+/fqaM2eOJOmzzz7T0qVLdeHCBVksFj3wwAMaMmSIHnroIfs8mZmZWrJkib777judPXtW6enpCgkJUZ8+ffTss8/mWTc1NVWxsbH6+uuvlZaWJm9vb4WFhenxxx9Xz5495e3t7TA+KytL06ZN0/r165WcnKxGjRppwoQJqlatmsO47OxszZ8/XytXrtS1a9fk6emppk2b6tVXX1Xt2rUlSUeOHNHAgQOVnJyszMxM/fvf/9aUKVO0b98+XbhwQdWqVdPGjRud94cMoGAMAHAT4eHhxujRo/O0v/3220aDBg2MdevWGVar1UhJSTHGjBlj1K9f3/jxxx/t406fPm2Eh4cbCxcuNKxWq2G1Wo2vvvrKqFu3rjFv3jyHOTMyMoxu3boZjz32mHH48GHDMAwjKSnJGDlypBEeHm4cOnTIPvbzzz83wsPDjZ49exqbNm0ycnJyjDNnzhht2rQxnn76aYd5c3JyjCFDhhiRkZHG9u3bDcMwjCtXrhgvvvii0ahRIyM+Pt5h/OjRo43w8HDjz3/+s33Nzz77zGjTpo35P0gApnEpDYBb27t3r5YsWaJnn31WHTp0kIeHh8qWLas33nhDgYGBmjp1qn2st7e32rZtqz/96U/y8PCQh4eHnnjiCXXs2FHz5s2T8asH/S9cuFAHDx7U66+/roiICElSUFCQJk2aJD8/v5vW8sADD+jRRx+VxWJRtWrV9NRTT+nw4cM6c+aMfcyaNWv03Xff6eWXX7a/k7FChQqaPHmybty4oZkzZ9507ieffFJ169aVJHXq1ElDhgwp2h8cAFMIRgDc2po1ayRJjzzyiEO7j4+PwsPDFRcXp4sXL0qSKleurA8//DDPHGFhYbp69aquXLly23n9/Py0YMEC3XfffXnmefjhhx0+576jMXf9X8/bqlUrh7GVKlVSlSpV9OOPPyo7OzvP3E2bNrX/c7ly5dSjR488YwAUP/YYAXBrJ0+elCSNHj1aXl6O/8rKzMyUv7+/Ll68qODgYEnShg0btHTpUp04cUIZGRmyWCxKS0uTJGVkZNiPPXXqlPz8/BQUFJRnzV/vW/q18uXLO3wuU6aMJDkEndx6+/fvL4vF4jA+IyNDHh4eSkpKUsWKFR36KlWqdNM1AZQsghGAUmHWrFlq0qRJvmM++eQTTZw4UU8++aRmzJhhDx/vv/++Pvjggzzjs7OzZRhGngBzKx4eBT/JvnLlSlWpUqXA4wszN4Diw99EAG4tLCxMkpSYmJinLykpyeHS1IoVKyRJ0dHRec7I3GzeGzdu6Nq1a3n6Ll++rJSUlCLV++vLa7kSExN5ejbg5ghGANyGn5+fbty4IemXszkTJ05Ux44dJUnr16/PM37RokWaNm2a/RJb7u31vz0DdO7cuTzHdunSRdIvl95+LTk5WW3bttWBAwdMfYc//OEPt6z33Xff1ccff2xqXgAlg2AEwG3Url1bx48fl9Vq1c6dO7V8+XLVqlVL/fr10/r16/X555/LarXKMAytW7dOCxcu1OjRo+3Hd+7cWZI0Y8YM+76iTZs26auvvsqz1gsvvKAGDRpo9uzZOnLkiCTp559/VlRUlBo1aqTmzZub+g5dunRR+/bttXTpUn3//fcyDEPZ2dn65JNP9N133+m1114zNS+AkmExfn3/KgC40L59+zRhwgRduHBB/v7+evnll9WzZ09Jv1wmW7p0qc6dOyc/Pz/VqFHD4ZZ4STIMQwsXLtTy5ct14cIFVahQQU2aNJGvr6+WLVum8uXLq3v37ho1apSkXx7w+OGHH+rrr79WRkaGfH191a5dOw0bNkyBgYGSpGeffVbHjh1TSkqKypUrp9atW+vdd99V3759dejQoTzt0i9nuxYuXKiVK1fq6tWr8vf3V7169TRs2DD7owESExPVtWtX+wMeK1WqpMqVK2vVqlUl+UcO4DcIRgAAADZcSgMAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAcBtzJ49W3Xq1LH/D8Cdi1eCAEAB9e3bVzt27FBcXJyrSwFQTDhjBAAAYEMwAgAAsPFydQEA7j5fffWVlixZohMnTsgwDIWGhqp169Z65pln5OXlpXbt2tnHTp48WcnJyVq+fLnOnDmjcuXKqWPHjho+fLgCAwPzzL1p0ybNmzdP//3vf2W1WlWzZk316NFDvXv3lofH//5bMD09XV988YW+/fZbHTt2TFevXlWlSpX06KOP6rXXXlPFihVv+z3OnDnjUKskde3aVdOmTStUPfv27dOzzz5rP2bRokWKj4/Xp59+qtOnT+vGjRt55gVQTAwAKEGLFy82wsPDjTlz5hjXrl0zkpOTjbVr1xqNGjUyRo8ebR/3+eefG+Hh4UbHjh2N6Oho48KFC0ZaWpqxfPlyo169ekb37t2NzMxMh7nnzZtnhIeHG1FRUUZiYqKRnJxsLF682IiIiDDGjBnjMPbAgQNGeHi4MXnyZPvcu3btMp566imjffv2RnJycp7a+/TpY4SHhzu0HTt2zHj00UeNVatW5RlfmHoMwzDee+89Izw83HjhhReM6dOnGxcuXDDOnz9vdOnSxeHPBkDxIRgBKFHPPPOMERkZmaf9b3/7202DUdu2bQ2r1eowdtq0afZwlevQoUNGRESE0bZtWyM7O9th/KhRo4zw8HBjy5Yt9rajR48agwYNylPH4cOHjfDwcGP+/Pl5+n4bjOLj443WrVsb//rXv/KMLWw9hvG/YNS/f3+H9i+//NL45JNP8qwBwPnYYwSgRFksFiUlJemHH35waB80aJBGjRqVZ3zHjh0dLoFJUufOnSVJX375pb1t2bJlysnJUdeuXeXp6ekw/oknnpAkrVy50t5Wu3ZtzZ07N8964eHhkqQ9e/bk+z3i4uI0YMAARUVF6Q9/+EOe/sLWc7Pvl+upp57S888/n289AJyDPUYASlS/fv0UFRWlgQMHqmnTpurSpYsef/xxVapUSQEBAXnGV61aNU9bzZo1JUnHjh1TVlaWvL29deDAAUlS3bp184yvUqWKJOngwYMO7bt27dK8efMUFxenixcvymq12vuSkpJu+R0OHz6sF154QZLUvHnzm44xU89v+wGUPIIRgBL1zDPPqFq1apo7d662bNmiHTt2aNKkSerQoYPGjBmje+65x2G8v79/njn8/PwkSYZhKDU1Vd7e3kpJSZEkDRky5JZrX7lyxf7Pq1ev1uuvv64HH3xQ77//vsLDw+Xt7S1Jt32I46BBg9S4cWNt3LhREyZM0HvvvZdnTGHr+TVfX9981wdQfAhGAEpc06ZN1bRpU129elXffPONPvnkE61du1ZHjhzR6tWrVaZMGfvYtLS0PMenp6dLkjw8PFS2bFlJst+htnDhQrVs2fK2NcyaNUuGYWjixImKiIgoVP0TJkxQmzZt9Nxzz2ndunVas2aN/fJYrsLWA8A9sMcIQInasmWLUlNTJUkVKlTQ888/r1WrVql27do6fvy4jh075jD+3LlzeeY4fvy4pF/2CeWe5WnYsKEk6ezZszdd98iRI9q/f7/9c+64sLAwh3EZGRm3/Q6PP/64vLy8NH36dPn4+GjixIm6dOmSw5jC1gPAPRCMAJSoN954Q7t27XJo8/b2VmhoqCTJx8fHoe+bb75RTk6OQ9vatWsl/fLMoFzPPvusPD09tWrVqjxrpqWlaeDAgdq8ebO9LSQkRJLyvN5j9+7dBf4utWrV0siRI/Xzzz9r/PjxDn2FrQeAeyAYAShxU6ZM0fbt25Wamqrr169r5cqV2rx5s1q3bm3fWJ3r3nvv1bhx45SYmKj09HStWLFCS5YsUcOGDdWnTx/7uDp16uj111/X7t27FRUVpZ9++kkZGRn6z3/+oxdffFH33HOP+vfvbx//pz/9SZI0btw4HThwQOnp6dqxY4fefPPNQn2X/v37q1mzZvr+++/1+eefm64HgHvgJbIAStTu3bv15Zdfavfu3Tp//rwsFovuvfdePfXUU/rjH/9o33i8cuVKRUdHa+rUqfLw8NCCBQt04sQJBQUFqVOnThoxYsRN72LbsmWL5s+fr//85z/Kzs5W1apV1aFDB73wwgsqV66cw9g1a9ZowYIFOn78uCwWixo0aKA///nPGjBggH3M1KlTJUnR0dEOx+Y+ibpt27Z5LpctXrxYzZo1K3A9N3uCdu7a3bp1K+wfMYAiIBgBcEu/DkaEAwAlhUtpAAAANgQjAAAAGy6lAXArt9pvs2HDBt17770uqAjA3YRgBAAAYMOlNAAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANv8f7sMFr+ypjigAAAAASUVORK5CYII=","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"markdown","metadata":{"id":"WbspNjE5W4M-"},"source":["## 💬 Lexical Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13462,"status":"ok","timestamp":1703934118097,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"g2fny_laW4M-","outputId":"0704565c-7e1a-4cd2-8a89-c79e220a0dd0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","teacher\n","student: 2127\n","okay: 2100\n","one: 1811\n","right: 1428\n","times: 1243\n","going: 952\n","know: 707\n","two: 650\n","good: 618\n","want: 569\n","\n","\n","multiple students\n","yes: 101\n","inaudible: 89\n","yeah: 29\n","percent: 18\n","two: 10\n","one: 7\n","half: 6\n","three: 5\n","whole: 4\n","unlike: 4\n","\n","\n","student\n","inaudible: 1453\n","times: 501\n","one: 420\n","two: 242\n","yeah: 225\n","three: 195\n","like: 180\n","yes: 177\n","four: 175\n","percent: 155\n","\n","\n","\n"]}],"source":["lexical_analyzer = LexicalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's look at the most common words per speaker in the dataset.\n","lexical_analyzer.print_word_frequency(\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 10 words per speaker.\n"," topk=10,\n"," # Let's also format the text (e.g., remove punctuation, lowercase the text, etc.)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"mh5zb9PpW4M-"},"source":["The language between the two looks pretty similar. Let's run a log-odds analysis to see what words that are more likely to be used by the tutor vs. student."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":13657,"status":"ok","timestamp":1703934135016,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"YamPzZVUW4M-","outputId":"2d397848-ad74-4d3a-eea8-add6a8120a69"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# This returns the merged dataframe of the annotated files in DATA_DIR.\n","df = lexical_analyzer.get_df()\n","\n","# We want to create two groups of df: one for the student and one for the tutor.\n","student_df = df[df[SPEAKER_COLUMN].isin(STUDENT_SPEAKER)]\n","tutor_df = df[df[SPEAKER_COLUMN] == TEACHER_SPEAKER]\n","\n","# Now we can run the log-odds analysis:\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=tutor_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # Let's name the df groups to show on the plot\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\",\n"," # Let's also run the text formatting\n"," run_text_formatting=True,\n",")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":901},"executionInfo":{"elapsed":14036,"status":"ok","timestamp":1703934152139,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"6G2s9ls7W4M-","outputId":"328406db-be2d-42c2-efab-5c6a7544cc98"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# We might also be interested in other n-grams. Let's look at the top 10 bigrams per speaker.\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=tutor_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," group1_name=\"Student\",\n"," group2_name=\"Tutor\",\n"," run_text_formatting=True,\n"," # n-grams:\n"," run_ngrams=True,\n"," n=2,\n"," topk=10\n",")"]},{"cell_type":"markdown","metadata":{"id":"N-p9P-gGW4M-"},"source":["## 📈 Temporal Analysis\n","\n","Let's look at the temporal trends of the talktime, student reasoning and uptake annotations!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1584,"status":"ok","timestamp":1703934161496,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"2U5UAkWtW4M-","outputId":"d16f6662-8669-4a1b-f09a-7aac04f11e0f"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["temporal_analyzer = TemporalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# First let's look at the talk time ratio between the speakers over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":1130,"status":"ok","timestamp":1703934170074,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"w0WT9reqW4M_","outputId":"cc996522-4709-43b7-98a7-15194db520be"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Now student reasoning over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 5 bins for the x-axis.\n"," num_bins=10,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":1190,"status":"ok","timestamp":1703934176532,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"gLWNo4r_W4M_","outputId":"45c0c81a-8f60-4dfd-eb8f-c3e7d778c780"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 5 bins for the x-axis.\n"," num_bins=10,\n",")"]},{"cell_type":"markdown","metadata":{},"source":["## 🤖 GPT Conversation Analysis\n","\n","Finally, we can also use `edu-convokit` to analyze the conversations using GPT models. Let's use GPT4 to summarize one of the conversations."]},{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[],"source":["import os\n","# Remember to never share your API key!\n","os.environ[\"OPENAI_API_KEY\"]=\"YOUR_API_KEY\""]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["df = utils.load_data(os.path.join(DATA_DIR, \"3.csv\"))\n","\n","# We're going to use the GPTConversationAnalyzer to summarize the conversations. \n","# First, let's look at the prompt for summarization.\n","analyzer = GPTConversationAnalyzer()\n","\n","prompt = analyzer.preview_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," # I'm going to only use the first quarter of the transcript\n"," # Because the transcript is very long\n"," keep_transcript_fraction=0.25,\n","\n"," )"]},{"cell_type":"markdown","metadata":{},"source":["💡 We can see that the prompt is set up to summarize the transcript. If you are comfortable with the prompt, you can now prompt the model on that prompt with run_prompt"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["prompt, response = analyzer.run_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," keep_transcript_fraction=0.25,\n"," )\n","\n","print(response)"]},{"cell_type":"markdown","metadata":{"id":"T48x_SxUW4M_"},"source":["## 📚 Conclusions and Next Steps\n","\n","Great! From this tutorial, we learned how to use `edu-convokit` to preprocess, annotate and analyze the Amber dataset.\n","We saw how very simple principles built into `edu-convokit` can be used to analyze the dataset and gain insights into the data from various perspectives (qualitative, quantitative, lexical and temporal).\n","\n","Other resources you can check out include:\n","- [Tutorial on edu-convokit for the NCTE dataset](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [Tutorial on edu-convokit for the TalkMoves dataset](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [`edu-convokit` documentation](https://edu-convokit.readthedocs.io/en/latest/index.html)\n","- [`edu-convokit` GitHub repository](https://github.com/rosewang2008/edu-convokit/tree/main)\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"I7VrV3iMpvwM"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 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diff --git a/docs/source/tutorial_talkmoves.ipynb b/docs/source/tutorial_talkmoves.ipynb deleted file mode 100644 index 1e7ee76..0000000 --- a/docs/source/tutorial_talkmoves.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"0ZgsJOlTV-cA"},"source":["# Tutorial on `edu-convokit` for the TalkMoves dataset\n","\n","Welcome to the tutorial on `edu-convokit` for the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves). This tutorial will walk you through the process of using `edu-convokit` to pre-process, annotate and analyze the TalkMoves dataset.\n","\n","If you are looking for a tutorial on the individual components of `edu-convokit`, please refer to the following tutorials to get started:\n","- [Text Pre-processing Colab](https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK)\n","- [Annotation Colab](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw)\n","- [Analysis Colab](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe)\n","\n","This tutorial will use all of the components!"]},{"cell_type":"markdown","metadata":{"id":"qyot5jipV-cB"},"source":["## Installation\n","\n","Let's start by installing `edu-convokit` and importing the necessary modules.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":21593,"status":"ok","timestamp":1703936794770,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"E1IPd9HnV-cC","outputId":"170889eb-0ae8-44bf-f12c-31399220d963"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-dgphjpe_\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-dgphjpe_\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 1e094c8836a3e3112cc1f996f5f12aeff013777c\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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(setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for emoji: filename=emoji-1.7.0-py3-none-any.whl size=171033 sha256=0024d11da3567b1c7f328fd06e05831297bd61be31635baec2d057a050286c56\n"," Stored in directory: /root/.cache/pip/wheels/31/8a/8c/315c9e5d7773f74b33d5ed33f075b49c6eaeb7cedbb86e2cf8\n","Successfully built edu-convokit docopt emoji\n","Installing collected packages: emoji, docopt, num2words, ftfy, clean-text, edu-convokit\n","Successfully installed clean-text-0.6.0 docopt-0.6.2 edu-convokit-0.0.1 emoji-1.7.0 ftfy-6.1.3 num2words-0.5.10\n"]}],"source":["!pip install git+https://github.com/rosewang2008/edu-convokit.git\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":21995,"status":"ok","timestamp":1703936816761,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"nf3j5W8AV-cC","outputId":"f2b9c0a7-dc15-4dc9-efb3-751c2b4e0a0a"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.\n","[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Unzipping corpora/stopwords.zip.\n"]}],"source":["from edu_convokit.preprocessors import TextPreprocessor\n","from edu_convokit.annotation import Annotator\n","from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer\n",")\n","# For helping us load data\n","from edu_convokit import utils\n","\n","import os\n","import tqdm"]},{"cell_type":"markdown","metadata":{"id":"iwnxZ8sLV-cC"},"source":["## 📑 Data\n","\n","Let's download the dataset under `raw_data/`.\n","Note we're only download a subsample of the dataset for this tutorial; this cuts down the annotation time.\n","If you would like to annotate the entire dataset, feel free to upload the entire dataset to this Colab!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":550,"status":"ok","timestamp":1703936817307,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"e66OQumaV-cD","outputId":"fc466ccb-a7be-4573-cc28-9a0dcbbd0a40"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 11:46:56-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves.zip\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 346774 (339K) [application/zip]\n","Saving to: ‘talkmoves.zip’\n","\n","\rtalkmoves.zip 0%[ ] 0 --.-KB/s \rtalkmoves.zip 100%[===================>] 338.65K --.-KB/s in 0.02s \n","\n","2023-12-30 11:46:56 (17.2 MB/s) - ‘talkmoves.zip’ saved [346774/346774]\n","\n"]}],"source":["# We will put the data here:\n","DATA_DIR = \"raw_data\"\n","!mkdir -p $DATA_DIR\n","\n","# We will put the annotated data here:\n","ANNOTATIONS_DIR = \"annotations\"\n","!mkdir -p $ANNOTATIONS_DIR\n","\n","# # Download the data\n","!wget \"https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves.zip\"\n","\n","# # Unzip the data\n","!unzip -n -q talkmoves.zip -d $DATA_DIR\n","\n","# Data directory is then raw_data/talkmoves\n","DATA_DIR = \"raw_data/talkmoves\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"uFT_56rtV-cD"},"outputs":[],"source":["# We'll set the important variables specific to this dataset. If you open one of the files, you'll see that the\n","# speaker and text columns are defined as:\n","TEXT_COLUMN = \"Sentence\"\n","SPEAKER_COLUMN = \"Speaker\"\n","\n","# We will also define the annotation columns.\n","# For the purposes of this tutorial, we will only be using talktime, student_reasoning, and uptake.\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","UPTAKE_COLUMN = \"uptake\""]},{"cell_type":"markdown","metadata":{"id":"28sYVNWJV-cD"},"source":["One thing that will be important is knowing how the teacher/tutor and student are represented in the dataset.\n","Let's load some examples and see how they are represented."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"LUqIcq6YV-cD"},"outputs":[],"source":["files = os.listdir(DATA_DIR)\n","files = [os.path.join(DATA_DIR, f) for f in files if utils.is_valid_file_extension(f)]\n","\n","df = utils.merge_dataframes_in_list(files)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":519},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1703936943212,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"yZzWrdaxV-cD","outputId":"30c85bab-849b-46ea-ba8e-804b7361e10a"},"outputs":[{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    5NaNNaN1.0T/R1Do you remember it looks like this.1 - NoneNaN
    9494.0NaN49.0THow many of you disagree?3 - Getting Students to RelateNaN
    5353.0NaNNaNErik and BrianYeahNaN2 - Relating to Another Student
    135135.0NaN86.0MarkIf, if the blue was one whole, what would the ...NaN3 - Asking for More Information
    193193.0NaN85.0TOr the people who aren't sure want to tell us...2 - Keeping Everyone TogetherNaN
    9393.0NaN17.0TJoey?2 - Keeping Everyone TogetherNaN
    3434.0NaN11.0TI want to call the white rod one half.1 - NoneNaN
    4242.0NaN31.0Alan[Puts three light green rods on top of the blu...NaN5 - Providing Evidence / Explaining Reasoning
    46NaNNaN31.0T/R1Do the number names change?2 - Keeping Everyone TogetherNaN
    839839.0NaN481.0TOkay, but why, how could she be sure?3 - Getting Students to RelateNaN
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    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","5 NaN NaN 1.0 T/R1 \n","94 94.0 NaN 49.0 T \n","53 53.0 NaN NaN Erik and Brian \n","135 135.0 NaN 86.0 Mark \n","193 193.0 NaN 85.0 T \n","93 93.0 NaN 17.0 T \n","34 34.0 NaN 11.0 T \n","42 42.0 NaN 31.0 Alan \n","46 NaN NaN 31.0 T/R1 \n","839 839.0 NaN 481.0 T \n","\n"," Sentence \\\n","5 Do you remember it looks like this. \n","94 How many of you disagree? \n","53 Yeah \n","135 If, if the blue was one whole, what would the ... \n","193 Or the people who aren't sure want to tell us... \n","93 Joey? \n","34 I want to call the white rod one half. \n","42 [Puts three light green rods on top of the blu... \n","46 Do the number names change? \n","839 Okay, but why, how could she be sure? \n","\n"," Teacher Tag \\\n","5 1 - None \n","94 3 - Getting Students to Relate \n","53 NaN \n","135 NaN \n","193 2 - Keeping Everyone Together \n","93 2 - Keeping Everyone Together \n","34 1 - None \n","42 NaN \n","46 2 - Keeping Everyone Together \n","839 3 - Getting Students to Relate \n","\n"," Student Tag \n","5 NaN \n","94 NaN \n","53 2 - Relating to Another Student \n","135 3 - Asking for More Information \n","193 NaN \n","93 NaN \n","34 NaN \n","42 5 - Providing Evidence / Explaining Reasoning \n","46 NaN \n","839 NaN "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# Randomly show 10 rows\n","df.sample(10)"]},{"cell_type":"markdown","metadata":{"id":"CDKdnbhKV-cD"},"source":["The students and teachers are inconsistently represented in the dataset.\n","Let's look at all the speakers in the dataset:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":229,"status":"ok","timestamp":1703936955074,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"eBVengjGV-cD","outputId":"8379d394-a0ad-428e-e360-02e03cffa98d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Speaker names: ['T' 'David' 'Meredith' 'Beth' 'Meredith and David' 'T 2' 'Danielle' 'T2'\n"," 'Gregory' 'Michael' 'Andrew' 'Laura' 'Jessica' 'Audra' 'Kelly' 'Brian'\n"," 'Jessica and Audra' 'SS' 'Erik' 'Mark' 'Graham' 'Others' nan 'S' 'BRYAN'\n"," 'DANIEL' 'ANDREW' 'CYNTHIA' 'SAURABH' 'STUDENT 1' 'MS. Liu' 'JAKE'\n"," 'ASHANK' 'Alan' 'ALYSSA' 'SN' 'KEVIN' 'SI' 'Amy' 'Jackie' 'PARTNER'\n"," 'TIMOTHY' 'Jacquelyn' 'T/R1' 'Students' 'Student' 'LINDA FISHER'\n"," 'DEBORAH' 'Jason' 'CHARLOTTE' 'Jeff' 'Michelle' 'Milin' 'Stephanie'\n"," 'Stephanie & Jeff' 'Michelle & Milin' 'Blonde' 'Milin,' '~23' 'All'\n"," 'Michelle & Jeff' 'R2' 'CECILIO DIMAS' 'STUDENT' 'Erik and Brian'\n"," 'SAMUEL' 'OSI' 'CLAIRE']\n"]}],"source":["speaker_names = df[SPEAKER_COLUMN].unique()\n","\n","print(\"Speaker names: \", speaker_names)\n"]},{"cell_type":"markdown","metadata":{"id":"b4luDlvVV-cD"},"source":["It seems like the teacher's speaker name starts with T.\n","The student's speaker name are all other names.\n","Let's split the names into two groups: teacher and student."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703936956147,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"uoDt1DEPV-cD","outputId":"3b2564ce-7a58-49bc-f291-1bdf19eb66cf"},"outputs":[{"name":"stdout","output_type":"stream","text":["Teacher speaker: ['T', 'T 2', 'T2', 'TIMOTHY', 'T/R1']\n","Student speaker: ['David', 'Meredith', 'Beth', 'Meredith and David', 'Danielle', 'Gregory', 'Michael', 'Andrew', 'Laura', 'Jessica', 'Audra', 'Kelly', 'Brian', 'Jessica and Audra', 'SS', 'Erik', 'Mark', 'Graham', 'Others', 'S', 'BRYAN', 'DANIEL', 'ANDREW', 'CYNTHIA', 'SAURABH', 'STUDENT 1', 'MS. Liu', 'JAKE', 'ASHANK', 'Alan', 'ALYSSA', 'SN', 'KEVIN', 'SI', 'Amy', 'Jackie', 'PARTNER', 'Jacquelyn', 'Students', 'Student', 'LINDA FISHER', 'DEBORAH', 'Jason', 'CHARLOTTE', 'Jeff', 'Michelle', 'Milin', 'Stephanie', 'Stephanie & Jeff', 'Michelle & Milin', 'Blonde', 'Milin,', '~23', 'All', 'Michelle & Jeff', 'R2', 'CECILIO DIMAS', 'STUDENT', 'Erik and Brian', 'SAMUEL', 'OSI', 'CLAIRE']\n"]}],"source":["# Let's remove nan speakers\n","speaker_names = [_ for _ in speaker_names if str(_) != \"nan\"]\n","\n","# And let's make sure the names are interpreted as strings\n","speaker_names = [str(_) for _ in speaker_names]\n","\n","# Create a regex for the teacher names\n","TEACHER_START_LETTER = \"T\"\n","TEACHER_SPEAKER = [_ for _ in speaker_names if _.startswith(TEACHER_START_LETTER)]\n","STUDENT_SPEAKER = [_ for _ in speaker_names if _ not in TEACHER_SPEAKER]\n","\n","print(\"Teacher speaker: \", TEACHER_SPEAKER)\n","print(\"Student speaker: \", STUDENT_SPEAKER)"]},{"cell_type":"markdown","metadata":{"id":"YdFGVGlnV-cD"},"source":["There are some names in the teacher list that belong to the student. Let's just manually fix that:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":141,"status":"ok","timestamp":1703936973106,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ZdIu96VfV-cD","outputId":"bf16e813-e3f4-4fd3-904a-3409d33f6cbb"},"outputs":[{"name":"stdout","output_type":"stream","text":["Teacher speaker: ['T', 'T 2', 'T2', 'T/R1']\n","Student speaker: ['David', 'Meredith', 'Beth', 'Meredith and David', 'Danielle', 'Gregory', 'Michael', 'Andrew', 'Laura', 'Jessica', 'Audra', 'Kelly', 'Brian', 'Jessica and Audra', 'SS', 'Erik', 'Mark', 'Graham', 'Others', 'S', 'BRYAN', 'DANIEL', 'ANDREW', 'CYNTHIA', 'SAURABH', 'STUDENT 1', 'MS. Liu', 'JAKE', 'ASHANK', 'Alan', 'ALYSSA', 'SN', 'KEVIN', 'SI', 'Amy', 'Jackie', 'PARTNER', 'Jacquelyn', 'Students', 'Student', 'LINDA FISHER', 'DEBORAH', 'Jason', 'CHARLOTTE', 'Jeff', 'Michelle', 'Milin', 'Stephanie', 'Stephanie & Jeff', 'Michelle & Milin', 'Blonde', 'Milin,', '~23', 'All', 'Michelle & Jeff', 'R2', 'CECILIO DIMAS', 'STUDENT', 'Erik and Brian', 'SAMUEL', 'OSI', 'CLAIRE', 'TIMOTHY']\n"]}],"source":["FALSE_POSITIVE_NAMES = [\"TIMOTHY\"]\n","\n","# Remove from the teacher speaker list\n","TEACHER_SPEAKER = [_ for _ in TEACHER_SPEAKER if _ not in FALSE_POSITIVE_NAMES]\n","\n","# Add to the student speaker list\n","STUDENT_SPEAKER.extend(FALSE_POSITIVE_NAMES)\n","\n","print(\"Teacher speaker: \", TEACHER_SPEAKER)\n","print(\"Student speaker: \", STUDENT_SPEAKER)"]},{"cell_type":"markdown","metadata":{"id":"blTi-uo4V-cE"},"source":["## 📝 Text Pre-Processing and Annotation\n","\n","Let's first preprocess and annotate the dataset with `edu-convokit`. The following section will:\n","- Read each file in the dataset and preprocess it using `edu-convokit`'s `Preprocessor`. We'll need to anonymize the names and merge the utterances by speaker.\n","- Then, annotate the file using `edu-convokit`'s `Annotator` for talktime, student reasoning and uptake.\n","- Finally, save the annotated file under `data/annotated/`.\n","\n","Let's get started!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ynNwS9H7V-cE"},"outputs":[],"source":["# First, let's create the replacement names for the teacher and student speakers\n","TEACHER_REPLACEMENT_NAMES = [\"[TEACHER]\"] * len(TEACHER_SPEAKER)\n","\n","# We will replace the student names with [STUDENT_0], [STUDENT_1], etc.\n","# This will approximately preserve the unique identity of each student, while also anonymizing them.\n","STUDENT_REPLACEMENT_NAMES = [f\"[STUDENT_{i}]\" for i in range(len(STUDENT_SPEAKER))]\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["9b4763d9c03c4ffca64ad682a5ae0f55","57ee5dd5d8ea4ad69bc1ab257bfd1813","67a4f0df25364ef498de81a379637412","7c674773bdb14a8b8981f1682a843bf0","4573417126674438887830f36a5d2b15","63d2f514465241fdbd4139db60578f05","366b9c430d264df2a7bd8ccf72fd7f02","082b744a84144fb29d7b140dde18b69d","4f6297a807e4464688e054bf661c3c15","8352d4b57c8b426ab8aefe54d6170376","cfa501518d5d4ea09758d33e3689d582","c8a7d3dbcf194abfb22538b9a620b2d2","e61d650fd3bf41d79f3408577967caad","9358bd9840ab4cb4aa7fefd82b65bddb","915036b052114b6a8cd78b17bdcf7d26","210052ece30648b5b04402f06b56c3a3","2785f28465ac47ada4ea86b560d68ede","7435e8d174f640078df20cfad45a9e2a","c62cf5556dd3410e892481e892b9184f","53a2f9c210894c538cfd8f9d64ac0e20","430601f6fcbb4f9c8d2921bf78b70e1e","ff8992e1e65e45e1bbf69020c5ce1ccf","d848d59514d54253a4d1e609436c603a","da84d4b341e947a3a9ed7aeeb129bb7e","94131245d1294befba8e6a9ba81b7a8d","499448698bb3464ca189dfdad49ba164","dd367d1589874a2d9d7db57e98ca7a88","0014799175bc430e9a25ca4b8ec682bd","4317e92e97044e029418e93f2172a49a","f4047591c0184f4baf84efb130831096","c51ea360d85b42e4ac35fc4154d8fb79","f9a621d46ca84430a55eeddb338f48e8","5b106cfbd4a8419390f2d010a914dfb4","66f02c19850546c59a69c4f2ecde17b5","9fc4abe082564145ae4ea544a20e4fe5","3659dff7761a46c9ab84cb07130e9037","b1dd339af58c4807b8fe2f199ddfa664","e4e469f9b49a4e2eac09a3039788933c","36c90fcd3dac48ce89ca47b2ae586f95","415c51f4458c498ab750fe080fe5a6cb","dc5520b56bd444f7b568eab23b85d9c8","c54b490bd2a64069ae141ef6852c09e6","f1b1738ea375490fa811c40a980e1228","06d2d509efb34c239fec3d8dc0bed8ae","d6fdf448dfb248cc9eb7654fda5a5c50","43fd023035984ee180f5599c7570f38d","9af5e5ac5d5a44998ace8cbe5a1ce8e6","57b158a2f4a94d6383f31faaf8361657","90d64e9e5be14fd79a64ebc2535a62a3","ab1368d7fef24cde93323212f8b961a6","61b61d88843341b48940e2cf7ef5e47a","431f2bcd27a94ddc99b9f083be783ed0","bec7663bd6ec462fbe6572fbf100d4f4","47f592dec0f24ef7b6c4b5e06362b9b4","1cbe3fe49064418eb0541b2eca24086f","dca60baf19364cdebfd5aed821cc0d07","19409eb01527439cab7f72103bf61ed7","9dd314b86fa04bdabb388b8c67404f80","fd9c06b823de435cbe785e3cf9e86023","fd83e472b11c4b34abd5f37101962520","aaee717f3e3e4de38c1053d147bed63e","4f438225124943d29a62cce0491fe238","7cf31e9ace8f4b6aad4dfaeaa8e2a273","422d8f1cdd1e4958b97a8bec8d0cd36f","f821914d858b47beb3ca939bf4bf89c6","fa125aa396bb49539248ba78b7827018","9856018958e342c2adc644a68e9ad997","b5606fc1c761472d959c3f26c0f7e059","374df26d1fc3476481e7063bb2046ab2","d4a6bc1ebe35412ebc615a7e0a12e174","a1ec7f2ef8004bc68ff11d20ea7e476d","a7f931732d9f4fd1ac64d36606487316","8ded43738a34414e8ea3760f1aaaee6d","06469507823f46f09b8ddfcebeda615e","fe5c73fabfcd41878c4f65738f6a321e","6dfbea73480a48eab4ceeb28a0b270d7","2ec35e33bdbb448d9beaf8fc5c679327","3738f536813b4aec87b7430694fcafb7","757a456e7a04408195b7b070834c304a","6e9dfc30b9da46ca909ed045b4292acf","c2385b00c83641cd91dd025937b015d4","f1cf797b228943569a67a4e9cffc6170","858582b165184c2a917bfec55bf01307","1c9b83c72adf4613b4a58c3cf10be5b0","0a980333095b4f0994629d84e7553d5f","24f7d01772ec488cad57cfe3f5146940","0733b24750804a1382c7e8ed64a7011a","d84127b4eb664ffbafcac142d01f423d","6ea551d5f14948a3a9a51f9ac7731556","98298ba7d9d144deb338ef979b0d1732","4ebc10335e8c4c4ca663f4fc6f6a5bc1","a5652eb34d5e47c7a2ee8437994fea06","2fd6d7e09a2b4c8ab462dadb7e89e1fa","35a9949fb8274e779a63a2468fd97371","ddf58472475841f5bf27413db13ea732","7750912eba2a404f9443b728ce840b23","d4ac8d92f28d46849bb1273fc440cceb","a493cbc8b0bd4f76954298eb2be5d85b","bd29562a9b32436c86000a1b6c95035e","d09822f5fd55424d8ee1135b854673ea","c026a9232e264cd8a0dce335e979a9d6","d8c3ece26866425cb52e2677c98a1a2f","a2d5ca78b959418d9ffdfb04bbbcdd48","ac5a57f770614ab4a7033c2536aa9f43","c9ce4a2004774b04b7ab93a99a8d2317","460fa36ba7994c6b936804bf00193216","5ac69ddad72f41e6894b79c2fd94d762","400b5518eb404e4b86c116855654498e","6d1546777c754bc6bae750cd5521ccc3","63c567abeb5e49658ed368da2968620c","dbaf178021cb4b78b16b2e4e5c575718","56feed4fa32149148032db716c962b34","c447442d742e4353b9cbb512638844cb","fcb640929dc44a80aaf9c33db8418a5e","41ac1d4ccc694abf8798d2e09057dcd1","dcfeff4e518445658e1165338481ddd8","47b2e643634645f9bee6742b3db6abcf","4d0a261e60504b3e8f3b0f4a7dbf2dc2","e561670a6d2848098247337737726e02","4e59d0eff683490083adc8c6a855a3b5","a9422b5598cf45f7a275aac9f2262e04"]},"executionInfo":{"elapsed":326273,"status":"ok","timestamp":1703937302564,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"wqRB6A3AV-cE","outputId":"3fad5115-bf67-4eaf-bc99-30d4cb2adb01"},"outputs":[{"name":"stderr","output_type":"stream","text":["\r 0%| | 0/30 [00:00> [TEACHER]: Okay, that’s really great. Okay, you are really wonderful. We have about five more minutes where we can do some problem solving [STUDENT_3] then put these things away. This is what I would like you to do. I would like you to take a turn to make a problem that will challenge your partner…\n","\n","talktime: 54\n",">> [TEACHER]: I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger [STUDENT_3] if so, if one is bigger, by how much. Why don’t you work with your partner [STUDENT_3] see what you can do.\n","\n","talktime: 54\n",">> [TEACHER]: Let me write this down. This, what you are saying here is so important, here. Let me see if I can write this down. You're saying that you're calling the red, you're giving red the number name, right? The length of the red, right? We'll give it the number name, what did you say?\n","\n","talktime: 4\n",">> [STUDENT_15]: I made a problem.\n","\n","talktime: 4\n",">> [STUDENT_15]: You don’t know mine.\n","\n","talktime: 4\n",">> [TEACHER]: What would be what?\n","\n","talktime: 6\n",">> [TEACHER]: And ask your partner that problem,\n","\n","talktime: 6\n",">> [TEACHER] [TEACHER]: This looks interesting. Are you experimenting?\n","\n","talktime: 6\n",">> [TEACHER] [TEACHER]: You have to make it convincing.\n","\n"]}],"source":["# We're going to look at examples from the entire dataset.\n","qualitative_analyzer = QualitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Examples of talktime. Will show random examples from the dataset.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TALK_TIME_COLUMN,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703937329492,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"VGrnPunzV-cE","outputId":"ddbddb92-f4f7-4cca-96ed-a4dd8f5f8502"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> [STUDENT_29]: [Puts three light green rods on top of the blue rod] There, that would, if you look down it would equal up to a blue.\n","\n","student_reasoning: 1.0\n",">> [STUDENT_15]: And I know that that’s half of [He points to the orange rod], [STUDENT_3] I know that yellow is half of orange, which is ten.\n","\n","student_reasoning: 1.0\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","\n"]}],"source":["# Examples of student reasoning. Let's look at positive examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1703937330005,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"I8X0orSvV-cE","outputId":"24c53dc9-6fa5-4b47-d811-3ea0230be63a"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n",">> [STUDENT_15]: You just don’t know the problem I just made up. You don’t know the problem I made up.\n","\n","student_reasoning: 0.0\n",">> [STUDENT_15]: I have a problem already. I have a problem. I have a problem, remember it? If a light green, um, no, no.\n","\n","student_reasoning: 0.0\n",">> [STUDENT_15]: I have one for you, too. [[TEACHER] [TEACHER] walks over] I have a problem.\n","\n"]}],"source":["# We can also look at negative examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=0.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":192,"status":"ok","timestamp":1703937330392,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"guK26yJRV-cE","outputId":"0124d7f9-b4a7-4d5f-f72d-885cc8633889"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","[STUDENT_15]: If a light green was one third, what would be a whole?\n",">> [TEACHER]: What would be what?\n","\n","uptake: 1.0\n","[STUDENT_15]: If a light green was one third, what would be a whole?\n",">> [TEACHER]: One, what would one be.\n","\n","uptake: 1.0\n","[STUDENT_29]: [Puts three light green rods on top of the blue rod] There, that would, if you look down it would equal up to a blue.\n",">> [TEACHER]: Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","\n"]}],"source":["# Examples of uptake.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," # I want to look at positive examples of uptake (uptake = 1.0)\n"," feature_value=1.0,\n"," # ... and look at the previous student utterance (show_k_previous_lines = 1).\n"," # This is interesting because it will show us how the teacher is responding to the student's utterance.\n"," show_k_previous_lines=1,\n",")"]},{"cell_type":"markdown","metadata":{"id":"as3Ho8MNV-cE"},"source":["## 📊 Quantitative Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":2053,"status":"ok","timestamp":1703937741538,"user":{"displayName":"Rose 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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","[STUDENT_0] 3.0 0.082532 0.055057 0.038502 0.051667 0.064833 0.104548 0.144262\n","[STUDENT_10] 1.0 0.052941 NaN 0.052941 0.052941 0.052941 0.052941 0.052941\n","[STUDENT_11] 2.0 0.050219 0.010940 0.042484 0.046351 0.050219 0.054087 0.057955\n","[STUDENT_12] 6.0 0.103688 0.088372 0.004112 0.022533 0.114360 0.180103 0.195356\n","[STUDENT_14] 5.0 0.006621 0.006594 0.000435 0.000936 0.004612 0.012336 0.014786\n","[STUDENT_15] 11.0 0.149584 0.111150 0.002649 0.083878 0.131579 0.187356 0.379571\n","[STUDENT_15] [STUDENT_3] [STUDENT_12] 1.0 0.000801 NaN 0.000801 0.000801 0.000801 0.000801 0.000801\n","[STUDENT_16] 2.0 0.013095 0.004014 0.010256 0.011676 0.013095 0.014514 0.015933\n","[STUDENT_17] 3.0 0.016949 0.017947 0.001677 0.007066 0.012454 0.024586 0.036717\n","[STUDENT_18] 1.0 0.000419 NaN 0.000419 0.000419 0.000419 0.000419 0.000419\n","[STUDENT_19] 13.0 0.158800 0.186038 0.004929 0.051454 0.079588 0.146341 0.584345\n","[STUDENT_1] 6.0 0.144681 0.167141 0.013691 0.025632 0.059223 0.273155 0.377049\n","[STUDENT_1] [STUDENT_3] [STUDENT_0] 1.0 0.005464 NaN 0.005464 0.005464 0.005464 0.005464 0.005464\n","[STUDENT_20] 1.0 0.040346 NaN 0.040346 0.040346 0.040346 0.040346 0.040346\n","[STUDENT_21] 2.0 0.170696 0.017246 0.158501 0.164599 0.170696 0.176794 0.182891\n","[STUDENT_22] 6.0 0.085113 0.077821 0.044715 0.045282 0.050777 0.072001 0.241883\n","[STUDENT_23] 2.0 0.087668 0.080432 0.030794 0.059231 0.087668 0.116106 0.144543\n","[STUDENT_24] 4.0 0.090441 0.077632 0.031746 0.048115 0.062901 0.105227 0.204214\n","[STUDENT_25] 2.0 0.161549 0.145949 0.058347 0.109948 0.161549 0.213149 0.264750\n","[STUDENT_26] 1.0 0.011345 NaN 0.011345 0.011345 0.011345 0.011345 0.011345\n","[STUDENT_27] 3.0 0.076598 0.056412 0.030794 0.045092 0.059390 0.099500 0.139610\n","[STUDENT_28] 3.0 0.092144 0.015845 0.077796 0.083641 0.089485 0.099317 0.109149\n","[STUDENT_29] 5.0 0.126505 0.055537 0.042045 0.104058 0.142857 0.158890 0.184676\n","[STUDENT_2] 3.0 0.009829 0.007439 0.002186 0.006221 0.010256 0.013651 0.017045\n","[STUDENT_30] 1.0 0.064877 NaN 0.064877 0.064877 0.064877 0.064877 0.064877\n","[STUDENT_31] 4.0 0.066166 0.090450 0.002237 0.018617 0.031213 0.078761 0.200000\n","[STUDENT_32] 3.0 0.089839 0.021829 0.077236 0.077236 0.077236 0.096140 0.115044\n","[STUDENT_33] 2.0 0.069106 0.000000 0.069106 0.069106 0.069106 0.069106 0.069106\n","[STUDENT_34] 2.0 0.023347 0.029145 0.002738 0.013043 0.023347 0.033652 0.043956\n","[STUDENT_35] 3.0 0.054487 0.073891 0.001965 0.012241 0.022517 0.080748 0.138980\n","[STUDENT_36] 1.0 0.011364 NaN 0.011364 0.011364 0.011364 0.011364 0.011364\n","[STUDENT_37] 2.0 0.055127 0.010618 0.047619 0.051373 0.055127 0.058881 0.062635\n","[STUDENT_38] 1.0 0.012500 NaN 0.012500 0.012500 0.012500 0.012500 0.012500\n","[STUDENT_39] 1.0 0.005682 NaN 0.005682 0.005682 0.005682 0.005682 0.005682\n","[STUDENT_40] 1.0 0.021669 NaN 0.021669 0.021669 0.021669 0.021669 0.021669\n","[STUDENT_41] 1.0 0.048957 NaN 0.048957 0.048957 0.048957 0.048957 0.048957\n","[STUDENT_42] 1.0 0.047352 NaN 0.047352 0.047352 0.047352 0.047352 0.047352\n","[STUDENT_43] 2.0 0.026003 0.016571 0.014286 0.020144 0.026003 0.031862 0.037721\n","[STUDENT_44] 1.0 0.132927 NaN 0.132927 0.132927 0.132927 0.132927 0.132927\n","[STUDENT_45] 1.0 0.094036 NaN 0.094036 0.094036 0.094036 0.094036 0.094036\n","[STUDENT_45] & [STUDENT_44] 1.0 0.000145 NaN 0.000145 0.000145 0.000145 0.000145 0.000145\n","[STUDENT_45] & [STUDENT_46] 1.0 0.000871 NaN 0.000871 0.000871 0.000871 0.000871 0.000871\n","[STUDENT_46] 1.0 0.133507 NaN 0.133507 0.133507 0.133507 0.133507 0.133507\n","[STUDENT_46], 1.0 0.001016 NaN 0.001016 0.001016 0.001016 0.001016 0.001016\n","[STUDENT_47] 1.0 0.193441 NaN 0.193441 0.193441 0.193441 0.193441 0.193441\n","[STUDENT_47] & [STUDENT_44] 1.0 0.000726 NaN 0.000726 0.000726 0.000726 0.000726 0.000726\n","[STUDENT_4] 4.0 0.092072 0.110127 0.025918 0.028582 0.043212 0.106702 0.255947\n","[STUDENT_50] 1.0 0.000145 NaN 0.000145 0.000145 0.000145 0.000145 0.000145\n","[STUDENT_53] 1.0 0.000871 NaN 0.000871 0.000871 0.000871 0.000871 0.000871\n","[STUDENT_55] 1.0 0.001887 NaN 0.001887 0.001887 0.001887 0.001887 0.001887\n","[STUDENT_56] 1.0 0.735250 NaN 0.735250 0.735250 0.735250 0.735250 0.735250\n","[STUDENT_59] 1.0 0.007937 NaN 0.007937 0.007937 0.007937 0.007937 0.007937\n","[STUDENT_5] 1.0 0.019981 NaN 0.019981 0.019981 0.019981 0.019981 0.019981\n","[STUDENT_60] 1.0 0.004762 NaN 0.004762 0.004762 0.004762 0.004762 0.004762\n","[STUDENT_61] 1.0 0.004762 NaN 0.004762 0.004762 0.004762 0.004762 0.004762\n","[STUDENT_62] 2.0 0.137668 0.115241 0.056180 0.096924 0.137668 0.178412 0.219156\n","[STUDENT_6] 8.0 0.041322 0.042725 0.002649 0.009801 0.029687 0.059497 0.130818\n","[STUDENT_7] 1.0 0.021569 NaN 0.021569 0.021569 0.021569 0.021569 0.021569\n","[STUDENT_8] 2.0 0.004774 0.000643 0.004320 0.004547 0.004774 0.005001 0.005229\n","[STUDENT_9] 6.0 0.047136 0.046222 0.005298 0.014495 0.040520 0.054591 0.131373\n","[STUDENT_9] [STUDENT_3] [STUDENT_10] 1.0 0.026797 NaN 0.026797 0.026797 0.026797 0.026797 0.026797\n","[TEACHER] 27.0 0.577200 0.194013 0.252459 0.448436 0.586710 0.700936 0.936508\n","[TEACHER] [TEACHER] 2.0 0.206389 0.017239 0.194199 0.200294 0.206389 0.212484 0.218579\n","[TEACHER]/R1 2.0 0.722468 0.036595 0.696591 0.709529 0.722468 0.735406 0.748344\n","~23 1.0 0.002612 NaN 0.002612 0.002612 0.002612 0.002612 0.002612\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer = QuantitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's create a speaker mapping to shorten the speaker names. Teacher -> T, Student{i} -> S{i}\n","speaker_mapping = {\n"," **{_: \"T\" for _ in TEACHER_REPLACEMENT_NAMES},\n"," **{_: f\"S{i}\" for i, _ in enumerate(STUDENT_REPLACEMENT_NAMES)}\n","}\n","\n","# For figure formatting because there are a lot of students\n","import matplotlib.pyplot as plt\n","plt.figure(figsize=(len(TEACHER_REPLACEMENT_NAMES + STUDENT_REPLACEMENT_NAMES)/2, 6))\n","\n","# Let's plot the talk time ratio between the speakers.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\",\n"," label_mapping=speaker_mapping\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":1820,"status":"ok","timestamp":1703937775548,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"kn8Kxif3V-cE","outputId":"8a0e669b-22de-42bd-c77c-b420afca9964"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["student_reasoning\n","\n","Average statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","[STUDENT_0] 3.0 0.714286 0.494872 0.142857 0.571429 1.000000 1.000000 1.000000\n","[STUDENT_10] 1.0 0.333333 NaN 0.333333 0.333333 0.333333 0.333333 0.333333\n","[STUDENT_11] 2.0 0.250000 0.353553 0.000000 0.125000 0.250000 0.375000 0.500000\n","[STUDENT_12] 5.0 0.466667 0.361325 0.000000 0.333333 0.500000 0.500000 1.000000\n","[STUDENT_14] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_15] 9.0 0.373016 0.363437 0.000000 0.071429 0.285714 0.500000 1.000000\n","[STUDENT_15] [STUDENT_3] [STUDENT_12] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_16] 2.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_17] 2.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_18] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_19] 12.0 0.250000 0.349964 0.000000 0.000000 0.000000 0.437500 1.000000\n","[STUDENT_1] 6.0 0.352381 0.377063 0.000000 0.053571 0.307143 0.475000 1.000000\n","[STUDENT_1] [STUDENT_3] [STUDENT_0] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_20] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_21] 2.0 0.750000 0.353553 0.500000 0.625000 0.750000 0.875000 1.000000\n","[STUDENT_22] 6.0 0.222222 0.403687 0.000000 0.000000 0.000000 0.250000 1.000000\n","[STUDENT_23] 2.0 0.500000 0.707107 0.000000 0.250000 0.500000 0.750000 1.000000\n","[STUDENT_24] 4.0 0.562500 0.515388 0.000000 0.187500 0.625000 1.000000 1.000000\n","[STUDENT_25] 2.0 0.700000 0.424264 0.400000 0.550000 0.700000 0.850000 1.000000\n","[STUDENT_26] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_27] 3.0 0.666667 0.288675 0.500000 0.500000 0.500000 0.750000 1.000000\n","[STUDENT_28] 3.0 0.833333 0.288675 0.500000 0.750000 1.000000 1.000000 1.000000\n","[STUDENT_29] 5.0 0.428182 0.445552 0.000000 0.090909 0.250000 0.800000 1.000000\n","[STUDENT_2] 2.0 0.500000 0.707107 0.000000 0.250000 0.500000 0.750000 1.000000\n","[STUDENT_30] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_31] 3.0 0.277778 0.254588 0.000000 0.166667 0.333333 0.416667 0.500000\n","[STUDENT_32] 3.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_33] 2.0 1.000000 0.000000 1.000000 1.000000 1.000000 1.000000 1.000000\n","[STUDENT_34] 1.0 1.000000 NaN 1.000000 1.000000 1.000000 1.000000 1.000000\n","[STUDENT_35] 2.0 0.392857 0.151523 0.285714 0.339286 0.392857 0.446429 0.500000\n","[STUDENT_36] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_37] 2.0 0.833333 0.235702 0.666667 0.750000 0.833333 0.916667 1.000000\n","[STUDENT_38] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_39] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_40] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_41] 1.0 0.333333 NaN 0.333333 0.333333 0.333333 0.333333 0.333333\n","[STUDENT_42] 1.0 1.000000 NaN 1.000000 1.000000 1.000000 1.000000 1.000000\n","[STUDENT_43] 2.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_44] 1.0 0.146341 NaN 0.146341 0.146341 0.146341 0.146341 0.146341\n","[STUDENT_45] 1.0 0.189189 NaN 0.189189 0.189189 0.189189 0.189189 0.189189\n","[STUDENT_45] & [STUDENT_44] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_45] & [STUDENT_46] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_46] 1.0 0.153846 NaN 0.153846 0.153846 0.153846 0.153846 0.153846\n","[STUDENT_46], 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_47] 1.0 0.096154 NaN 0.096154 0.096154 0.096154 0.096154 0.096154\n","[STUDENT_47] & [STUDENT_44] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_4] 4.0 0.221154 0.259675 0.000000 0.000000 0.192308 0.413462 0.500000\n","[STUDENT_50] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_53] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_55] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_56] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_59] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_5] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_60] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_61] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_62] 2.0 0.250000 0.353553 0.000000 0.125000 0.250000 0.375000 0.500000\n","[STUDENT_6] 6.0 0.472222 0.452360 0.000000 0.083333 0.416667 0.875000 1.000000\n","[STUDENT_7] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_8] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_9] 6.0 0.305556 0.400231 0.000000 0.000000 0.166667 0.458333 1.000000\n","[STUDENT_9] [STUDENT_3] [STUDENT_10] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[TEACHER] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[TEACHER] [TEACHER] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[TEACHER]/R1 0.0 NaN NaN NaN NaN NaN NaN NaN\n","~23 0.0 NaN NaN NaN NaN NaN NaN NaN\n","\n","\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["\n","# For figure formatting because there are a lot of students\n","import matplotlib.pyplot as plt\n","plt.figure(figsize=(len(TEACHER_REPLACEMENT_NAMES + STUDENT_REPLACEMENT_NAMES)/2, 6))\n","\n","# What about the student reasoning? How often does the student use reasoning?\n","quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We change this to \"avg\" because we're now looking at within-speaker statistics.\n"," value_as=\"avg\",\n"," # We can set the y-axis limits to [0, 1] because the student reasoning column is a binary column.\n"," yrange=(0, 1),\n"," label_mapping=speaker_mapping\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"raKKayZaV-cF"},"source":["Note, the tutor has no `student_reasoning` because we did not annotate the tutor's utterances for student reasoning.\n","We can easily remove the tutor from the plot by dropping na values:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":354},"executionInfo":{"elapsed":1440,"status":"ok","timestamp":1703937787994,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"gVqMKLBBV-cF","outputId":"88e06990-866e-4a21-bcbc-6b664e0571e8"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAACnoAAAIfCAYAAABdUJCgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACvzUlEQVR4nOzdeXgdZb048G+WNm3ThaalTVtbSFpIgVBcSktZZVEB9comAleQq8BFLYpVkIKIl60XlDz0UqAqLhQVAWW7F1Sw+PMCslUqiEprSaAsXaDBLmmbNsn5/eElmi5pMjkn5/Scz+d5eB5m5n3f7/edM2dmmnwzU5RKpVIBAAAAAAAAAAAAQM4pznYCAAAAAAAAAAAAAGybQk8AAAAAAAAAAACAHKXQEwAAAAAAAAAAACBHKfQEAAAAAAAAAAAAyFEKPQEAAAAAAAAAAABylEJPAAAAAAAAAAAAgByl0BMAAAAAAAAAAAAgRyn0BAAAAAAAAAAAAMhRCj0BAAAAAAAAAAAAclTOF3refffdMXny5Ljooou63be5uTmuu+66OPzww2PatGnx0Y9+NO66664MZAkAAAAAAAAAAACQfqXZTmB7Vq5cGV//+tdj8eLFsXbt2m73b21tjc997nPx0ksvxfe///2orq6ORx55JL7whS/EypUr4/Of/3wGsgYAAAAAAAAAAABIn5x9oucXv/jFmDhxYnzve99L1P++++6Lxx57LL7yla9EdXV1REQcccQRcdJJJ8VNN90US5cuTWe6AAAAAAAAAAAAAGmXs4WedXV1cf7550efPn0S9b/zzjujtLQ0jjzyyA7rP/ShD0VLS0v8/Oc/T0eaAAAAAAAAAAAAABmTs4Weo0aNSty3ubk5nn/++Rg3blz079+/w7aampqIiHj66ad7lB8AAAAAAAAAAABApuVsoWdPLF26NFpbW2PEiBFbbauoqIg+ffrEK6+8koXMAAAAAAAAAAAAALquNNsJZMLatWsjIrZ6muc7+vXrF2vWrOn2uC0tLbF69eooKyuL4uK8rJEFAAAAAAAAAAAAekFbW1s0NzfHkCFDorR0++WceVnomSmrV6+Ol19+OdtpAAAAAAAAAAAAAHli9913j2HDhm13e14Weg4aNCgiIjZs2LDN7Rs3bozBgwd3e9yysrKIiBg3blz069cvcX4tLS1x/fXX9+rr43fbbbc4//zzO6367S29Pf9MzX3x4sVxww03pHXMXHHeeefFnnvumdYxHff5cdxDdzjuYftSqVTcfPPNsWjRomhra2tfX1xcHDU1NfHZz342ioqKsphhZuXb/PPpPuell16K66+/Pq1j5orzzz8/xo8fn9YxXesAgHxVyPc5+XR/T/cU8nGfT7LxHc40x0pm5NN3Pl9/Z5mJ31cWunw67p3vKUSOe8hfGzdujKVLl7bXJm5PUSqVSvVSTom89tprceSRR8bxxx8f//mf/9mlPs3NzfGe97wndtttt/jFL37RYVtjY2NMmzYt3vve98btt9/erVzWr18ff/nLX2KvvfaKAQMGdKvvllpbW6O+vj6am5u71L6+vj7mzJnTvjx9+vSorq7uUt+ysrKorq6OkpKSRLlmQnfmn6tzf+GFF2LGjBntyx8aPyZGlvffYb+2VCoaN26K1n8qasiEkuLiqOjXN4q7UCSxomlD/Oql19uX6+rqora2Nu05Oe53/uMeustxD9v3+uuvx1lnnRWtra3t60pLS+OWW26J0aNHZzGz3pFv88+X+5wt73FHH1QU/bb/h4PtUqlUbFodkWrdcdueKCqJ6DskulQIvHFVxBuP/+Ofuzv7Pa5rHQDQ2wr5Pidf7u/pvkI+7vNJa2trLFiwIFasWNGtPkuWLOnyZ59UWVlZTJgwocuf/ciRI2Py5MmOlQzJl+/8lj/Ped/ex8Yug0d02qct1Rbr1r8dba0tGcnpnxWXlMbAAUOjuKi403Z/W7Myfv/nB9uXM/WznEKXL8d9RPfP9711ro9wvidzHPeQn7pak5iXJdFlZWUxadKk+OMf/xgbNmyI/v3/UXy3aNGiiIiYMmVKttKLiIiSkpLYY489Evevrq7eqW9sezL/XJ375NG7Rs3wIdlOI5FFb63uUOiZKY77/DvuYUcc97B9Y8aMiU984hNx++23RyqViqKiovjEJz6xUxY5JpFv88/X+5x+wyLKK7vydNWiiFEZT6ebeudvGvP1swcAKOT7nEKee6Hz2eeHkpKSmDp1arbTYCeQr9/5PXafHO8aOTHbaXTbayte7FDoSWbk03HvfE8hctxDYev8z2Z2EsuXL48tH0x68sknR0tLS8yfP7/D+l/96ldRWloaJ5xwQm+mCAAAWznllFNi2LC/Py5x2LBh8YlPfCLLGfWuQp8/AAAAAAAAQFfs9IWe3/3ud+Owww6LK6+8ssP6j33sY3HQQQfFddddF/X19RER8Zvf/CZ+9rOfxec+97nYbbfdspEuAAC069evX5x33nkxYsSIOO+886Jfv37ZTqlXFfr8AQAAAAAAALoiZ1/d/pOf/CRuvPHGaG1tjYiIBx98MB599NHo379//PrXv25vt+uuu8aAAQNi5MiRHfqXlJTEzTffHDfccEN8+tOfjubm5hg2bFhcdtll8fGPf7xX5wIAANszbdq0mDZtWrbTyJpCnz8AAAAAAADAjuRsoedpp50Wp5122g7bHXfccXHcccdtc1tZWVl85Stfia985Stpzg4AAAAAAAAAAAAg83b6V7cDAAAAAAAAAAAA5CuFngAAAAAAAAAAAAA5SqEnAAAAAAAAAAAAQI5S6AkAAAAAAAAAAACQoxR6AgAAAAAAAAAAAOQohZ4AAAAAAAAAAAAAOUqhJwAAAAAAAAAAAECOUugJAAAAAAAAAAAAkKMUegIAAAAAAAAAAADkKIWeAAAAAAAAAAAAADlKoScAAAAAAAAAAABAjlLoCQAAAAAAAAAAAJCjFHoCAAAAAAAAAAAA5CiFngAAAAAAAAAAAAA5SqEnAAAAAAAAAAAAQI5S6AkAAAAAAAAAAACQoxR6AgAAAAAAAAAAAOQohZ4AAAAAAAAAAAAAOUqhJwAAAAAAAAAAAECOUugJAAAAAAAAAAAAkKMUegIAAAAAAAAAAADkKIWeAAAAAAAAAAAAADlKoScAAAAAAAAAAABAjlLoCQAAAAAAAAAAAJCjFHoCAAAAAAAAAAAA5CiFngAAAAAAAAAAAAA5SqEnAAAAAAAAAAAAQI5S6AkAAAAAAAAAAACQo0qznQAAAAAAAACkS1NTUzQ0NGQ8Tn19fafLmVBVVRXl5eUZjwMAAEBuUegJAAAAAABA3mhoaIgZM2b0etw5c+ZkPEZdXV3U1tZmPA4AAAC5xavbAQAAAAAAAAAAAHKUQk8AAAAAAAAAAACAHOXV7QAAAAAAAOStfgefECUVozIydqqtNVLr10TRgMFRVFyS9vFbG5fFxsfuTvu4AAAA7FwUegIAAAAAAJC3SipGRemo6mynAQAAAIl5dTsAAAAAAAAAAABAjlLoCQAAAAAAAAAAAJCjFHoCAAAAAAAAAAAA5CiFngAAAAAAAAAAAAA5SqEnAAAAAAAAAAAAQI5S6AkAAAAAAAAAAACQoxR6AgAAAAAAAAAAAOQohZ4AAAAAAAAAAAAAOUqhJwAAAAAAAAAAAECOUugJAAAAAAAAAAAAkKMUegIAAAAAAAAAAADkKIWeAAAAAAAAAAAAADlKoScAAAAAAAAAAABAjlLoCQAAAAAAAAAAAJCjSrOdAMDOpqmpKRoaGjIao76+vtPlTKmqqory8vJeiQUAAAAAmZavP8vzczwAAAAoLAo9AbqpoaEhZsyY0asx58yZ0ytx6urqora2tldiAQAAAECm5evP8vwcDwAAAAqLV7cDAAAAAAAAAAAA5CiFngAAAAAAAAAAAAA5yqvbAXro45P6xJjBRWkft7UtFas3RgzpF1FSnP7xIyJeX5OKu57fnJGxAQAAACDX9Dnog1E8bNe0j5tqa43U+qYoGlAeRcUlaR+/bdWbsfnxh9I+LgAAALBzUOgJ0ENjBhfF+GHp/+Ft72jNdgIAAAAA0GuKh+0aJZVjs50GAAAAQLd4dTsAAAAAAAAAAABAjlLoCQAAAAAAAAAAAJCjFHoCAAAAAAAAAAAA5CiFngAAAAAAAAAAAAA5SqEnAAAAAAAAAAAAQI4qzXYCAAAAAAAAAJBEU1NTNDQ0ZDxOfX19p8uZUFVVFeXl5RmPAwBA7lPoCQAAAAAAAMBOqaGhIWbMmNHrcefMmZPxGHV1dVFbW5vxOAAA5D6vbgcAAAAAAAAAAADIUQo9AQAAAAAAAAAAAHJU4le377XXXvGXv/wlnbkAAAAAAAAAQGIHH/RvUTFsbEbGbmtrjfXr344BA4ZGcXFJ2sdvXPVqPPb4D9I+LgAAO7/EhZ6pVCoWLFgQqVSq03Z9+vSJysrKqKysTBoKAAAAAAAAAHaoYtjYGFU5MdtpAABAWiUu9IyIOP3007vctqamJi699NJ43/ve15OQAAAAAAAAAAAAAAUjcaHn9OnT48EHH4xly5bFoYceGqNHj47y8vJoamqK119/PR599NHYd999473vfW+sWLEinnzyyfj0pz8dd9xxR0yc6C+oAAAAAAAAAAAAAHYkcaHn2LFjY/To0fHTn/40Bg8evNX2NWvWxIUXXhj7779/HHTQQbFp06Y4//zz4+abb47Zs2f3KGkAAAAAAADoitZVb2Q7hcR25twBAABIn8SFnrfeemvMnj17m0WeERGDBw+Oiy++OC688MI46KCDom/fvnH++efHv/3bvyVOFgAAAAAAADrT0tLSYXnj4/dkKZP023JuAAAAFIbipB3r6+tj5MiRnbaprKyMRYsWtS/vvvvusWbNmqQhAQAAAAAAoFONjY3ZTiFj8nluAAAAbF/iQs+ysrJ44oknOm3zu9/9Lvr2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    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["\n","# For figure formatting because there are a lot of students\n","import matplotlib.pyplot as plt\n","plt.figure(figsize=(len(TEACHER_REPLACEMENT_NAMES + STUDENT_REPLACEMENT_NAMES)/2, 6))\n","\n","quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True,\n"," label_mapping=speaker_mapping\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":484},"executionInfo":{"elapsed":430,"status":"ok","timestamp":1703937795198,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"1De0gvSvV-cF","outputId":"13f4a8ad-88d6-46cb-abef-fa3c239142f7"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"markdown","metadata":{"id":"6ns8Bau4V-cF"},"source":["## 💬 Lexical Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4127,"status":"ok","timestamp":1703937804816,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Y3pX55STV-cF","outputId":"a0b958e7-5ea5-4f60-8634-c20494a3804c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","[TEACHER]\n","student: 695\n","one: 343\n","okay: 229\n","think: 170\n","would: 134\n","red: 101\n","right: 91\n","want: 87\n","two: 83\n","see: 82\n","\n","\n","[STUDENT_15]\n","one: 75\n","student: 58\n","two: 34\n","green: 23\n","yeah: 21\n","would: 20\n","half: 20\n","rod: 20\n","three: 20\n","call: 20\n","\n","\n","[TEACHER] [TEACHER]\n","one: 13\n","two: 10\n","okay: 9\n","student: 9\n","let: 8\n","interesting: 6\n","see: 5\n","twelfths: 4\n","hear: 3\n","clever: 3\n","\n","\n","[STUDENT_29]\n","one: 28\n","would: 16\n","student: 12\n","green: 11\n","rod: 10\n","three: 9\n","considered: 9\n","thirds: 9\n","red: 7\n","fifth: 6\n","\n","\n","[STUDENT_0]\n","one: 12\n","would: 8\n","two: 6\n","third: 4\n","student: 4\n","put: 4\n","green: 4\n","purples: 3\n","three: 3\n","yeah: 3\n","\n","\n","[STUDENT_1]\n","student: 43\n","two: 33\n","one: 30\n","put: 17\n","rod: 14\n","rods: 13\n","take: 11\n","bigger: 11\n","orange: 10\n","yeah: 10\n","\n","\n","[STUDENT_2]\n","one: 4\n","whole: 2\n","third: 2\n","half: 1\n","green: 1\n","would: 1\n","blue: 1\n","student: 1\n","put: 1\n","three: 1\n","\n","\n","[STUDENT_1] [STUDENT_3] [STUDENT_0]\n","well: 1\n","bigger: 1\n","one: 1\n","\n","\n","[STUDENT_14]\n","yeah: 8\n","one: 6\n","sixth: 5\n","two: 4\n","yes: 3\n","hmm: 2\n","thirds: 2\n","twelfths: 2\n","red: 1\n","well: 1\n","\n","\n","[STUDENT_6]\n","one: 20\n","student: 16\n","bigger: 10\n","would: 10\n","two: 8\n","like: 7\n","red: 7\n","yeah: 6\n","sixth: 6\n","equal: 5\n","\n","\n","[STUDENT_16]\n","bigger: 2\n","boat: 2\n","children: 2\n","well: 1\n","thinking: 1\n","sizes: 1\n","made: 1\n","sea: 1\n","monster: 1\n","biggest: 1\n","\n","\n","[STUDENT_17]\n","rod: 5\n","orange: 4\n","red: 2\n","well: 1\n","fit: 1\n","would: 1\n","take: 1\n","white: 1\n","student: 1\n","stick: 1\n","\n","\n","[STUDENT_18]\n","yes: 1\n","\n","\n","[STUDENT_7]\n","student: 2\n","one: 2\n","yeah: 1\n","working: 1\n","write: 1\n","example: 1\n","see: 1\n","bigger: 1\n","half: 1\n","third: 1\n","\n","\n","[STUDENT_8]\n","one: 3\n","half: 2\n","third: 1\n","red: 1\n","\n","\n","[STUDENT_9]\n","one: 30\n","student: 27\n","third: 9\n","half: 9\n","would: 8\n","rod: 7\n","green: 7\n","purple: 6\n","red: 6\n","think: 6\n","\n","\n","[STUDENT_10]\n","saw: 4\n","student: 4\n","half: 3\n","third: 3\n","two: 3\n","agree: 2\n","bigger: 2\n","comes: 1\n","overhead: 1\n","places: 1\n","\n","\n","[STUDENT_11]\n","student: 5\n","well: 3\n","red: 3\n","like: 3\n","one: 3\n","third: 2\n","put: 2\n","tallest: 2\n","black: 2\n","green: 2\n","\n","\n","[STUDENT_12]\n","one: 34\n","student: 27\n","well: 22\n","half: 22\n","like: 22\n","two: 16\n","sixth: 15\n","split: 12\n","three: 11\n","third: 10\n","\n","\n","[STUDENT_9] [STUDENT_3] [STUDENT_10]\n","one: 3\n","three: 2\n","girls: 1\n","agreeing: 1\n","demonstrates: 1\n","said: 1\n","yeah: 1\n","put: 1\n","reds: 1\n","green: 1\n","\n","\n","[STUDENT_34]\n","student: 5\n","brown: 4\n","took: 4\n","purple: 4\n","tried: 2\n","another: 2\n","looked: 2\n","half: 2\n","orange: 1\n","red: 1\n","\n","\n","[STUDENT_19]\n","student: 39\n","cups: 27\n","yeah: 14\n","one: 12\n","make: 12\n","like: 12\n","flix: 11\n","pay: 11\n","sense: 11\n","teacher: 10\n","\n","\n","[STUDENT_22]\n","student: 23\n","cups: 10\n","cream: 8\n","teacher: 7\n","chocolate: 6\n","chocolates: 5\n","equals: 4\n","kept: 4\n","think: 4\n","going: 3\n","\n","\n","[STUDENT_36]\n","really: 1\n","get: 1\n","one: 1\n","\n","\n","[STUDENT_24]\n","student: 9\n","cindy: 6\n","cups: 5\n","valerie: 5\n","yeah: 3\n","row: 3\n","given: 3\n","would: 3\n","said: 3\n","columns: 2\n","\n","\n","[STUDENT_27]\n","student: 8\n","cups: 7\n","would: 5\n","think: 3\n","thought: 3\n","teacher: 3\n","chocolate: 3\n","wrote: 2\n","ingredients: 2\n","like: 2\n","\n","\n","[STUDENT_62]\n","student: 17\n","cup: 9\n","cream: 9\n","would: 7\n","cups: 6\n","teacher: 5\n","chocolate: 4\n","thought: 3\n","whole: 3\n","recipe: 3\n","\n","\n","[STUDENT_44]\n","blue: 26\n","student: 23\n","red: 22\n","one: 18\n","teacher: 15\n","yeah: 15\n","different: 9\n","know: 8\n","see: 8\n","make: 7\n","\n","\n","[STUDENT_45]\n","teacher: 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4\n","every: 4\n","one: 3\n","\n","\n","[STUDENT_5]\n","one: 2\n","two: 2\n","three: 2\n","eighteenth: 1\n","twelfths: 1\n","four: 1\n","five: 1\n","six: 1\n","seven: 1\n","eight: 1\n","\n","\n","[STUDENT_35]\n","one: 14\n","green: 10\n","student: 8\n","light: 8\n","bigger: 7\n","half: 6\n","yeah: 5\n","six: 5\n","thought: 4\n","third: 4\n","\n","\n","[STUDENT_40]\n","hear: 2\n","think: 2\n","diagram: 1\n","well: 1\n","know: 1\n","say: 1\n","\n","\n","[STUDENT_41]\n","student: 4\n","thought: 2\n","cups: 2\n","cream: 2\n","multiplied: 2\n","another: 2\n","one: 2\n","answer: 2\n","misunderstood: 1\n","two: 1\n","\n","\n","[STUDENT_42]\n","cups: 4\n","answer: 2\n","total: 2\n","think: 1\n","person: 1\n","got: 1\n","mixed: 1\n","thinking: 1\n","times: 1\n","teacher: 1\n","\n","\n","[STUDENT_30]\n","candies: 2\n","cindy: 2\n","reading: 1\n","valerie: 1\n","shares: 1\n","box: 1\n","gave: 1\n","student: 1\n","candy: 1\n","every: 1\n","\n","\n","[TEACHER]/R1\n","student: 66\n","one: 42\n","number: 34\n","two: 32\n","name: 30\n","think: 23\n","names: 19\n","candy: 17\n","bar: 16\n","agree: 15\n","\n","\n","[STUDENT_38]\n","one: 2\n","third: 2\n","tentatively: 1\n","yes: 1\n","mmm: 1\n","hmm: 1\n","\n","\n","[STUDENT_39]\n","yeah: 1\n","dark: 1\n","blue: 1\n","\n","\n","[STUDENT_20]\n","problem: 2\n","think: 1\n","person: 1\n","answered: 1\n","read: 1\n","whole: 1\n","\n","\n","[STUDENT_15] [STUDENT_3] [STUDENT_12]\n","yeah: 1\n","\n","\n","\n"]}],"source":["lexical_analyzer = LexicalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Cast as str\n","lexical_analyzer._df[TEXT_COLUMN] = lexical_analyzer._df[TEXT_COLUMN].astype(str)\n","\n","# Let's look at the most common words per speaker in the dataset.\n","lexical_analyzer.print_word_frequency(\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 10 words per speaker.\n"," topk=10,\n"," # Let's also format the text (e.g., remove punctuation, lowercase the text, etc.)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"eRTIjn9CV-cF"},"source":["It's a bit hard to see how the student and teacher's vocabulary compare. Let's run a log-odds analysis to see which words are more likely to be used by the student or teacher."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":8619,"status":"ok","timestamp":1703937816319,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"cTCSBWB1V-cF","outputId":"d49800bf-f02d-4b82-b23a-9f75accf18af"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# This returns the merged dataframe of the annotated files in DATA_DIR.\n","df = lexical_analyzer.get_df()\n","\n","# We want to create two groups of df: one for the student and one for the tutor.\n","student_df = df[df[SPEAKER_COLUMN].isin(STUDENT_REPLACEMENT_NAMES)]\n","teacher_df = df[df[SPEAKER_COLUMN].isin(TEACHER_REPLACEMENT_NAMES)]\n","\n","# Now we can run the log-odds analysis:\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # Let's name the df groups to show on the plot\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\",\n"," # Let's also run the text formatting\n"," run_text_formatting=True,\n",")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":901},"executionInfo":{"elapsed":5791,"status":"ok","timestamp":1703937827022,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"C6HEqYfoV-cF","outputId":"ebb2b14d-3a51-4e07-ec27-6b660e93ea46"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# We might also be interested in other n-grams. Let's look at the top 10 bigrams per speaker.\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\",\n"," run_text_formatting=True,\n"," # n-grams:\n"," run_ngrams=True,\n"," n=2,\n"," topk=10,\n"," logodds_factor=0.5\n",")"]},{"cell_type":"markdown","metadata":{"id":"_G8YeqhKV-cF"},"source":["## 📈 Temporal Analysis\n","\n","Let's look at the temporal trends of the talktime, student reasoning and uptake annotations!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1782,"status":"ok","timestamp":1703938012315,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"EhOdXcIqV-cF","outputId":"f05da105-5486-49ea-ef93-b54157a4a61e"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Cutting max num transcripts to 3 to show speakers\n","temporal_analyzer = TemporalAnalyzer(data_dir=ANNOTATIONS_DIR, max_transcripts=3)\n","\n","# First let's look at the talk time ratio between the speakers over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10,\n"," label_mapping=speaker_mapping\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":1914,"status":"ok","timestamp":1703938036226,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"tTjBlmJGV-cF","outputId":"a35fefbc-52b2-4289-f322-ecde8d627750"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Now student reasoning over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 5 bins for the x-axis.\n"," num_bins=10,\n"," label_mapping=speaker_mapping\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":896,"status":"ok","timestamp":1703938042303,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"_cWE8v-HV-cI","outputId":"02c3b1c1-b8af-48dc-8751-d38126301972"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAG7CAYAAAAmOVo2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADCUElEQVR4nOydeXxU5fX/38+9s2UlJOx7CLIEEBSEoqiAWEVqBStqbbVU1G9VvnWp+hMVtRS1ti6loqVWa11at1qVb2sFCtYiFVEMsm9hXwOErLMkc+/z++MmkxmykMySmUme9+tF692eeyZ35t5zz3PO5wgppUShUCgUCoVCgRZvAxQKhUKhUCgSBeUYKRQKhUKhUNSgHCOFQqFQKBSKGpRjpFAoFAqFQlGDcowUCoVCoVAoalCOkUKhUCgUCkUNyjFSKBQKhUKhqMEWbwOSCb/fT2lpKU6nE01TPqVCoVAoFMmAaZr4fD46dOiAzda066McoxZQWlrKnj174m2GQqFQKBSKMOjXrx85OTlN7qMcoxbgdDoB6w+bkpIS1bENw2D79u0MHDgQXdejOrai5ajrkVio65F4qGuSWKjr0TQej4c9e/YEnuNNoRyjFlA7fZaSkkJqampUxzYMA4DU1FT1pU4A1PVILNT1SDzUNUks1PVoHs1Jg1GJMgqFQqFQKBQ1KMdIoVAoFAqFogblGCkUCoVCoVDUoBwjhUKhUCgUihqUY6RQKBQKhUJRg6pKUygUCoUiDKSUgX/xprYqrfb/2wNCiMC/aKIcI4VCoVAoWoDH4+HEiRNUVFQkhFMElpNms9nYuXNn1B2FRMZms5GTk0N2dnb0xozaSAqFQqFQtHE8Hg/79u0jKyuLfv36Ybfb420SYDlGHo+HlJSUduUYud1uDh06hMvlipq+YMI7Rn/72994/PHHmTx5Mr/85S9bdKzP52PhwoX8/e9/x+v10qlTJ2644QZmzJgRI2sVCoVC0ZY5ceIEWVlZdO3aNd6mhCClRNM0dF1vV45RRkYGOTk5FBUV0a9fv6iMmbCOUVFREQ8//DDbt2+nvLy8xccbhsFtt91GYWEhf/zjH+nfvz8rVqzgpz/9KUVFRdx+++0xsFqhUCgUbRUpJRUVFVF7ACuiQ0ZGBidOnEBKGRWnMGGr0u644w4GDx7Myy+/HNbxH374IZ999hn33HMP/fv3B2DSpElcddVVvPDCC+zbty+a5ioUCoWijVObaJ0o02cKC5vNhmmaUcv3SljH6JlnnuHOO+8M+wv4zjvvYLPZuOiii0LWX3LJJfj9ft57771omKlQKBSKdkKiJForGiZa1ydhp9K6d+8e9rE+n4/169fTt29fUlJSQrYNGjQIgDVr1kRkn0KhULQUc+8hjK82QVV1vE2JGKlppKVqMDLeligU0SVhHaNI2LdvH4Zh0KVLl3rbsrOzsdvt7N27N+zxDcOIulaE3+tDxGBcRXj4q6sRfnU9EoW2oNEiK9z4f/8OeKvibUrU6CsE/jOHQq9u8TalVTAMI6G0i4KptSfR7GoNaq9HU/eHltw72qRjVJusfWq0qBaXy0VZWVnY42/fvj3sYxvD5vZir/KzYcOGqI+taDk2jw9XuYcN36wHrf1UeCQ6yfz7yNxzhN5tyCkCEFJybNlnHD1rQLxNaTVsNhsejwdNS8xMFI/HE28TIkaYEtmC+65pmlRXV0ft/tAmHaNYM3DgwKjpJdTiLy5h15qvGTh0GDa7uizxpnrfYfavW09e3gBsHTLibU67xzAMNmzYwPDhw9F1Pd7mhIVx4FPM2gUhICcrjtZESFlFYDqw0/Fyuo8cGV97WgnDMNi5cycpKSkJ9z2Mpo7R7373OxYsWBBY3rp1a6TmNR8podoPdpv1O2kGhmFgt9sZMmRIo9fF7XY3O6jRJp/AGRnWg6wxz9nr9ZKZmRn2+LquR/1HITUdvdqP7jfQXc6ojq1oGdIw0N1eDJsN7WQZWscO7UoXJJGJxW+vtTAOFgX+W/TojPNnM+NnTIT4l6zCv2SVtVBUjCgpR0tmR68FxKoNRbSIhm233XYbt912G9dffz1r1qxp1c8qwXKIWvA5aj9zU/eHltw3EjMWGCF9+vRB13WKiorqbSsuLqa6upq+ffvGwbKmEX4T6fbG2wyFxwemieGwgdtrLSsUESClxDxwNLCsJXlOjjY0L2TZ3FQYJ0sUiujTJh0jp9PJmWeeyb59++pFjbZt2wbAmDFj4mFak0ghoLwi3ma0e2SlB3TdemvRdczi0nibpEhy5IkS8NY52KJ3YqkmtxTRsytkpgeWzc3KMVK0HdrEVNqRI0fo2rVrSNjt6quvpqCggOXLl/Od73wnsH7JkiXYbDauvPLKeJjaJNKmgceHrKpGOJSAWDyQpkSWVYCz5u+f4oSyCqSvI8LpiK9xiqRFBkWLIPkjRkIItCH9Mb9YD4BZuA/p9SFUGkCD/P3vf+f1119n9+7dSCnp06cP559/PtOmTaunt/fYY49RXl7OO++8w4EDB+jQoQOXXHIJd955ZyBNJJhPP/2Ul156iU2bNmEYBv379+eqq67i+9//fkiCuMfj4YMPPmDZsmXs3LmT4uJiOnXqxAUXXMAdd9xBTk7OaT/HgQMH6mkDTp8+PaRdV3PsWbduHddcc03gmFdffZXt27fz5ptvsn//fqqrq5k2bRpPPvlk8//IUSTpI0Z/+MMfuPDCC5k/f37I+iuuuILzzjuPp59+ml27dgHwySef8Ne//pXbbrstIafSZO3/eNXUTdyoqkJW+RE2651BaBoIkKUtb0ujUNRi7j9St6BpiO6d42dMlBD5/esWDBNz25642ZLIvP766/zsZz9j8uTJLF26lE8++YSbbrqJV199lUWLFtGrVy+2bdvGE088AcBLL73Ejh07+NOf/sSaNWu44447eOutt/jxj39MVVVoVePLL7/MLbfcQq9evfj4449ZtmwZ06dPZ/78+cydOzdk3507d/Loo48yYMAA3n33Xb788kuefvppvvnmG6699loqKk4/W9GrVy8++ugjunXrxpNPPsm2bdtCnKJge5YsWcKqVau48sor69kzcuRItm3bxuzZswF48cUXOXLkCH/6059YtmwZA/Ly6p27NUnYiNFf/vIXnn/++YD2wEcffcTKlStJSUnhX//6V2C/zp07k5qaWq+hn67r/O53v+O5557jxhtvxOfzkZOTwyOPPJLYTWTtNsyySvSgMLWi9ZCVXoSocVJrSXEhi0uR2R0CDpNC0RKCI0aieydEG6g8FQP6YOoammHV2pmbC9FHDIqzVYnH3/72N7Kysrj55psD66ZMmcK2bds4cuRIvf2rq6uZP39+ILoyY8YMdu3axR//+EdeffXVwDhbtmzhqaeeolevXoH93W43119/PRs3buSvf/0rl112Geeddx5gyddccMEFPPDAA4FzjRo1iieffJIrrriCd955hxtvvLHJz7Jjxw5mzZrFfffdFzIT05A9tcnO119/PRs2bKhnTzCmaXLfffcBVj7e/9x0MxXe+MkOJGzE6LrrrmPVqlWsXr2abdu2sX79elatWhXiFAFMmzaNgoICbrnllnpjOJ1O7rnnHv7973/z+eef8/e//z2xnSIAhx0qKpFJLGSXzMiyCusaBCF0HQyJLKuMk1WKZKZe4nXP5M4vqkU47FR27RhYNrbsQppmE0e0T4QQlJaWsmrVqpD1N910E/fee2+9/S+55JJ6GklTpkwBrB6gtbz99tuYpsn06dPrVVxNnToVsJyyWgYMGMAf/vCHeucbOHAgAF9//XWTn2Pbtm3ceOON3H///fWconDsaejz1XL5d77D97///SbtiSUJ6xi1V4SugSnblDpusiCrqq0KtIbyu1IcyBMl6savaDGyuBQ8ddWmondy5xcFU96zU91ChRu5r34EpL1zww03ADBr1iyuv/563nzzTY4fP056enqDeT09evSot662EfrOnTsD02nr11v5XUOGDKm3f7du1nds48aNIeu/+uorfvKTnzBx4kTy8/MZNGhQ4PjS0saLTLZs2cKPfvQjqqur+da3vtXgPuHYc+r2RCH547ltESGQFW5EWsPK3YoY4fUBEiFEPVl9YbcjPZVQ4Q6pxlEoTofcH+osaL3aRsQIoLxXJ/hyW2DZ2FyI1q/+g709M23aNHr27Mkf/vAHPvvsM9asWcP8+fP59re/zQMPPEDnzqH5Zg2JB9d2cZBSUllZicPhCOQE3XbbbY2e+8SJE4H/Xrx4Mffddx9nnnkmzz33HAMHDsThsApKanuINsZNN93EWWedxYoVK3j00Uf57W9/W2+fltoTjMvlavL8rY1yjBIRlwNZVoHskp2wImJtEbOsEmxNiIA57JgnStAy0tR1UTSb4Gk0NNEmEq9r8ae6oEdnOHQMAHPTTrjs/DhblXicc845nHPOORQXF/Pxxx/z5z//mY8++oitW7eyePFi7Pa6KLXb7a53fK3sjKZppKWlAXVCxq+88grnnnsuUkrcbjepqakN3p+ef/55pJTMmzePwYMHt8j+Rx99lIkTJ3LttdeyZMkS/vGPfwSmx2o51Z5kRk2lJSDCZkNW+cGnptNaC2mYVjTI0URJvtNuCXAqEU5FCwhJvO7aqc1JcWhD6iqI5OFjyJPh96Fsi3z22WdUVlr5idnZ2Vx33XW8//77DBgwgF27drFz586Q/Q8dOlRvjNrK6gEDBgSiPCNGjADg4MGDDZ5369atfPPNN4Hl2v369esXsp/Xe/r72cUXX4zNZuPJJ5/E6XQyb948jh07FrJPS+1JZJRjlKAIgVLBbk28PjBMK8erEYQQCJuOeVIJPiqah5V4XTeVprWh/KJaQsr2sabTFHU8/PDDfPXVVyHrHA4Hffr0AawioWA+/vhjzFNyGT/66CPA0gyq5ZprrkHXdd5///1653S73cyaNYuVK1cG1nXv3h2oEzmuZe3atc3+LHl5edx9992UlJTUkwNoqT2JjHKMEhWHHVmqVLBbC1nphuZ0c05xIUsrkEprStEM5MmykAijaEP5RbWIXt0gvS4vRrUHqc/jjz/OF198QWVlJWVlZfztb39j5cqVnH/++YHE6lp69erFQw89RFFRER6Ph3fffZfXX3+dESNG8MMf/jCw36BBg7jvvvtYu3Yt999/P7t27cLr9bJhwwZuueUWOnfuzI9+9KPA/jNnzgTgoYceYv369Xg8HtasWcMjjzzSos/yox/9iLFjx/LJJ5/w3nvvNWpPYWFhk/YkMirHKFFx2KHCo1SwWwEppeWENkPZWggBmoYsLVcqv4rTUj/xug1GjDSBnp+HsWYDAObOvUhflVKKr+HXv/41H374IfPmzePw4cMIIejVqxd33XUXP/jBD+rtP23aNDRN46abbmL37t1kZmZy7bXXctdddwWm0WqZOXMmAwYM4OWXX+aaa66hurqanj178u1vf5sf//jHIUrZP/jBD8jKyuKPf/wjP/rRjxBCMGzYMH7+859z4403smbNGgYNGhQQmpwzZ07g2EGDBgUUri+66KLAdNkDDzzAAw88wGuvvcbYsWPr2eP3++nRo0c9e05V0K6t3HviiSdComLxQjlGCYoQAom0pniUYxRbfFXI6mq05jo6KS5kcRkyO6tNCPUpYke9xOsebSfxOhgtyDHCb2Du2Is+7Iz4GpUgjBo1ilGjRrXomGnTpjFt2rRm7Tt+/HjGjx9/2uRrsPSETk2ahvrTa0CjbbNWrFjRLHuaolbtuyFOrQiOB2oqLZGx6ZjlSlQw1ki3F0Hzq8yEroFUgo+K0yOD8ovaYuJ1LdrAvlbj5RrUdJoimVGOUSLjcEC526qYUsSMhtSuT4vLiTxxUl0bRaOcqnjdFvOLahEuJ9qA3oFlY0sh0oz/m79CEQ7KMUpghK6BYaqmsjFEVvvB3fLpSmG3QbUfKutrjigUAJwsg8q6fk9tSdixIbT8AXULZZXIg0cb31kR4MCBAwwaNCiQ0zNnzhwGDRrEgQMH4mxZ+0UlSCQ6mkBWepQKdqzw+kDK8AQbnQ5L8DE9DdGcijZFuyIkv4i2mXgdjJbfH4IqtY1NO9ukPEG0aSrfRhEfVMQo0XHWqGAnQEJaW8Qsq2ha7boJhNNhaU15lN6Uoj4hjpEQiJ5d4mdMK6DlZCG61fVOM5WekSJJUY5RgiPsNmRVlVLBjgHSMKHcDc7wE2KF3YZ5oiR6RinaDKGJ1zltNvE6GC0/SAX7wFFkaXkcrVEowkM5RkmAEALpUXlGUcfrA9NE6OFFjAArCbvCrQQfFSG0p8TrYPSheSHLxuZdcbJEoQgf5RglAza7evOKAdLtsXqvRIAQAqEJzJPq+iiCKCm3eu/V0Nbzi2oRfXtAUD6kmk5TJCPKMUoGnHZwe60KKkVUqFO7jsL0RooLTpYhq6ojH0vRJqiXeN27fUSMhKahDalrcWHu2Kt+F4qkQzlGSUCgYkpN10QPX5XVbsUeuWMkNA2EtPSQFAoIaRyLANGjbSdeB6MH5RlRVY25c1/8jFEowkA5RsmCrmMqpeWoIT2+FmhdNwOXC3miFGkY0RxVkaTI/UH5RV1y2lXfMG1QLmh1jxY1naZINpRjlCw47VBeiTSV0nI0kGUVEIVoUS3CpoPfQJYrwcf2jpV4HVSR1k4Sr2sRKU60vF6BZWNzoZIbUSQVSuAxSRC6jjQN8PhCkhsVLUf6/ZYicbT/ji4H8vhJZGa6Enxsz5RWtMvE62C0/DzMHTVTaCXlyEPH2ryOU1tk0qRJVFRUYA96iSwuLsY0TTp1qtOsMgyDkydPthmhSuUYJRNCQ7qVCnbEeHyAtHKDoohw2K1IlNsD6alRHVuRPITkF9F+Eq+D0fLz4MNPAsvm5kI05RglJc899xxjx44NLE+aNImDBw+yatWqwLoDBw5w0UUXxcO8mKCm0pIJpx1ZqlSwI8Usd4d0Ao8qdhtmcWlsxlYkBaGK1yB6tkPHqHM2okt2YNlQeUaKJEI5RsmEzWaVvqry17CRpgnlleCIUTKsy4msqFSCnO2YEMXrztntKvE6mBAV7H2HkOWqeCTZ+NOf/sSZZ5552v26du3KRx991AoWtQ7KMUoihBAIsPpzKcLDWwWGYSVLxwBL8FHHLCmLyfiKxMcMrkhrh/lFtQQ7RkgwtigV7GSjT58+pKScPnXDbreTl5d32v2SBZVjlGzYbVYeS8fMeFuSlERD7fq0pDjhZDkyJ6td9MdS1CFLy62IZA3tMb+oFi23p/VbqImempsKYczwOFsVW6RpIg8VQVXri/FKKcHnxXS66rTvABw2RI8uUc+pbMsoxyjZcNSoYPv9CJu6fC1BSoksKbf+hjFEaBoSiSwtR3TOPv0BijZDPcXrdhwxErqONjgXs2ArAOb23W36viX9BlUL/4LcdzhuNuhAQ4kWok93HLOvi1mkvK2hXMgkQ2gaSDPwFqZoAVXVVo6WvRVuzCk1go9+JfjYnjD3h1aktfcS9RAVbF81ZuGB+BkTY2RxSVydoqaQ+w4ji0vibUbSoByjZETXMSuUkGBLkR4vAkLDzDFC2HQwDWSFSjhtT8igiJHo3BHhcsbRmvijDe4fMnVtbtoZR2tii8jOQvTpHm8zGkT06Y7Izoq3GUlD24xptnUcDiirRHbNUfPGLUCWVbZOtKgWpxN5vKRG8FFdp/ZAqOJ1+51Gq0WkpSByeyJ3WZEic3MhcvpFrfJy0toIm47jpz+Ia46R1+fFpXKMIkY5RkmIsOmYbq9VYZXqirc5SYH0G5badSv+vQKCj5UeyEhrtfMq4oMsq4AylXh9Knp+Hv4ax0gWlyKPnkB063Sao5IToWlxc4illOB2o6WmtknHszVRLmSSIjRhVVgpmofHCzL6atenxWHHPFGiRDnbAacmXquIkYU2dEDIsrlJiT0qEhvlGCUrDjuypFw9cJuJWeEO6fjdajgdyEqPSpZvB8hTEq+1dqh43RCiSzYiJyuwrFSwFYmOcoySFbtSwW4u0pTWFEccFIiFEAhdV21C2gHmqYnXKe078boWIUSoCvaeg9bLgiKpWLBgAeeddx6HD1uVd+eddx5z5syJs1WxQeUYJSm1c8jS4223LQeajc+HNAw0W5zysVKcUFaB9HVU16oNE5p4raJFwWhD8zBWrrUWpMTcsgt99ND4GqVoEXfccQd33HFHvM1oFVTEKJmx26xKK0WTyEpPzMWum0JoGgiQpRXxM0IRU2R5JQRd3/Ys7NgQWv/eIRFbNZ2mSGSUY5TMOOxQ6VEigqdBlsWwaWxzSXFZAnD+1i/jVcSeesKOKmIUgrBZKti1mFt3Iw1131IkJsoxSmIsFWwJXpXY2xjSV4X0+lpXv6gBhK6DIVWEr40i67UCUY7RqYSoYHt9mLvargq2IrlRjlGyo2lKXbkpvL5WU7s+LSkO5IkSpGnG2xJFlAnJL8rJQqQofbFT0QbnQtDP0FTTaYoERTlGyY7TgSyttCqvFPUwW1vtugmE3W4p4qqKnDZHSEWaEnZsEJGRhujbI7CsHCNFoqIcoyRH2HSk4Qefmk47Fek3oMJt5WIlCg475nEl+NiWkOWVUFIeWFaJ140TPJ0mj53ELCqOozUKRcMox6gNIIRQuiAN4fWBGQe166Zw2i3Fcrc33pYoooRSvG4+wXpGoKJGisQkgZ4YirBxOFRSbwPICjfoifUVF0JYve5OKsHHtoJKvG4+ontn6JgZWFaOkSIRSaynhiI87Dak12cpYSsAS+1alsdH7fq0pLiQpRVWtZwi6amXeK0aOzeKECJkOs3cdQDpUdFTRWKhHKM2gBACIbEapSosfFXI6mqETY+3JfUQQiA0TQk+thFCEq9VtOi0hEynmSbm1t3xM0ahaADlGLUVHDarAksB1KpdJ0CJfmOkuJDFpchqJfiYzMgKN5wsCyyrxOvTow3oE1IQoVSwFYmGcozaCg47VLiVmmwNsrwC7AlUjXYKQrfEOVVuWHJTL/FaleqfFmG3oQ3sG1g2t+xCGkrbS5E4JIbAiyJihKZZWkYeH6SnxtucuCKrqpPj7+ByIk+cRGZlWI6SIumQB0JbgWg9lWPUHLT8PMyNO60Ftxe59xCif6/4GqVoEq/Xy1tvvcXixYspKipCSonL5SI3N5fRo0czZcoU+vbtG3LM0aNHeeihh/jPf/7D8uXL6dWr4Wt8/fXXs23bNuy1L7NSUtvgcv78+UycODGmn+1UlGPUltA1ZIUbkegOQaypSWpO6Kk0rDdn6fFCpRsy0+NtjiIMzP1B+UXZHRBpKXG0JnnQ8/MInkQ2NheiKccoYfH7/cycOZPDhw/z9NNPM2rUKIQQFBUV8Zvf/IZnn30WTdO45ZZbAsd8+OGH/PKXv8Rma56b8dxzzzF27FhL463aD3Zb3O7h6jW1LeG0I8uVCrZZWgEJmHTdIE4H5gkl+JishFSkqcTrZiMy0xG96/KxzE0742iN4nSsWLGCgoICZs+ezejRowMOS5cuXZg/fz5nnHFGyP6ffvopL730Ei+99BLnnXdePEyOCBUxakMImw3T4wNfFaQ4421OXJCGYUVgkqRXlXA6MMsqLMFHFW1IKmSlRyVeR4Cen4d/v+VYyqMnME+UoOVkxdcoRYPs3m1VDubk5NTbpmkas2bNomPHjoF1w4YN47333sPhSEC5lGagIkZtDCEEsj2rKnsSUO36NAi7DfNESbzNULQQlXgdGdpQpYKdLHTu3BmA999/H7OBJtjTp09nwoQJgeWcnJykdYogwSNGX331FQsWLGDnzp1omsa3vvUt7r33Xrp1a96bWWFhIS+88AIFBQV4PB4yMjI499xzue222+jSpUuMrY8TdhuyrBxyOsTbkrggKz2QRE4RYCVhV7iRXh/C1T4jfclIvcRrFTFqEaJnVyu3rszS8zI3FcL5o+JsVWRI06C6aDtmdRxeTiVU+7z4nC4ISs3R7C7sXQYitPDTCyZMmEB6ejpLly5l+vTpXHfddUyePLnBCFK4/OMf/+Dpp5/m0KFD2HSd4WeeyU033cSIESOido7mkrCO0erVq5k1axazZs3ilVdewe12c/fdd3P11Vfz3nvvBTzYxti2bRvXXHMNffr04dVXX6V3795s3bqV//mf/+Ff//oXH374YVQvasJQW7ZfVY1IpOaprYA0JbKsApzJ9bmFEKAJzJPl6N2VY5QshESMOmaqxOsWYqlg98dYvR4As3BfUr8cSKOao6/PourwprjaUdbAOkf3oXS9/mWEHt69MTs7m4ULF3L//fezdetWHn74YR599FFGjBjB5ZdfzvTp00lNjazop6ysjN/85jd069aNPTsL+cUTj3Pdddfx1FNPMWXKlIjGbikJ+Wrt9/uZO3cuffr04c4778Rms5GZmcljjz3G8ePHeeaZZ047xmuvvYbH4+Huu++md+/eAAwePJibb76ZY8eO8e6778b6Y8QFKylOBiqz2hVVVcgqP6KZVRAJRYoLTpapti5JhNxfFzFS0aLw0IYOqFswTMxte+JmS6T4Sw7G3SlqjKrDm/CXHIxojHHjxrFs2TKeeeYZLr74YlwuFwUFBcybN4/LLruM7du3hz32ggULeOaZZ+jRowdCCHL79WPBggWkpaXx6KOP4vG0bpP0hHSMvvjiC/bt28e3v/1ttKBpka5duzJy5Ej+8Y9/UFnZtDDe0aPW21ytU1RL7fLhw4ejbHUCYWufKtiy0kuCV+g3itA0EDURL0XCIys9yOK6RsCayi8KC+2MvhD0IpPMeUa2rJ44ug+NtxkN4ug+FFtWz8jHcTiYOnUqCxcuZPXq1SxYsIChQ4dy+PBh5s6dG/a42dnZIc96gIyMDMaOHUtJSQkFBQWRmt4iEvLVes2aNQAMGjSo3rbBgwezdu1avvnmG84999xGxxg4cCArV65k9+7d5OXVJfnt2bMHIGRdm8PhgIpKpGEg9CQpW48CsqwipNVA0uFyIU+UIjtmtqvrloyYB09JvFYRo7AQDjvaGX0wt+wCwNiyC5spEVryveEI3U7XG16Ja46R1+fFFYMco4ZwOp1ceumlTJw4kSlTprBu3TrcbnfEU2rB1KbMnDhxImpjNoeEdIxqSwMbSpCuXbdnz54mHaObb76ZVatW8cwzz9CnTx8GDBjAN998wx/+8AeGDx/O1VdfHbZ9hmFgRLn1hmEagbEjRoCs9lv9wtpJ3oOsrkZWuiE9FdFA1URLqb0O0b7OTaIJZFUVZkk5WlZG6503CYjL9WgCY19oxFl275QwtrUWUbsmQ/pDjWNEhRv/ngNofXtEaF1sMAwDKWXgXz2Ehr3r4NY3DJBSYng8OFJSGhRGjEQr7f/+7/9Yvnw5v/nNb+ptczgcDBs2jIMHD+LxeEhJCX3m1J63sb/Zli1b2Lt3L5deemntAYF/x44dA6Bjx45N2l87dlPfxZZ8TxPSMaqosKYTXK76WjS168rLy5sco2PHjvzpT39i/vz5XH755djtdgzD4KqrrmLOnDkNjt1cIplLbQyb24sT2LkzOkJnureKqmNHqO6QFpXxEh2bx4fzRDlGSnRLRKN1PZqL8BuI/ftwd8kiaecFY8iGDRvibQIAvTZuo7busyrVyaad0b8nJAuRXhOb6SV4buDIJ59TNDJxI/o2mw2Px1Nv6idRiEU+TmVlJV999RXFxcX1np1SSnbs2EH37t1xuVy43e6Q7bUOidfrrbcN4JtvvuGNN97gggsuCKzT/AZlJR7WrFlDRkYGgwcPbvDYWkzTpLq6Omr3h4gdo7KyMpYsWcLGjRspLi7mueeeY+/evRw7dozRo0dHw8aw2LFjB//zP/9DTk4O//jHP+jfvz+7du1izpw5fP/73+eFF16gZ8/w5lwHDhwY1XAhgL+4hN3//ZIBAwagR2EaRfr94Pcj8vokfGuMaGAeLIJOHkSUhB0Nw2Dnzp1Rux4tQZZWIPp2V61dgjAMgw0bNjB8+PBWvx4NUf3x2sB/O3N7M3LkyPgZEyeieU2qv9gOh63oQOfiSnok6N+z9r6QkpKSEN/DYKSUgYhNtO/5DoeD48eP89BDD3HPPfeQm5uLEIIjR47w/PPPs3v3bp599tkGn4u1fyeXy9XgdofDwc6dO3n++ee59dZbSU9L4/D+Azzyi3mUlpbyxBNPnLaC3DAM7HY7Q4YMafS6uN3uZgc1InKMPvzwQ37xi19QWVmJlDJwMY4cOcKPfvQjvve97/HYY4+1eNz0dKtvlNdbf562dl1GRtNTDXPnzuXw4cOBUn2AAQMG8Mwzz/Dtb3+bhx56iFdeeaXFtoF1oaP9o5A187+6rkfnTcThwPRVo/uNpC1/bS7SMC3laJcr6sKOUbseLUC6HFBagd5BTaedSix+ey1FerwQJMip9+kWd5viSTSuiTlsAEaNY8ThY2hllYiOmVGwLvoIIQL/EpFY2HbRRRcxf/58Vq5cyW233UZFRQVVVVU4nU5GjhzJG2+8US8QMnnyZDweT2B2Z8aMGei6zu233851110X2O+SSy7BNE0+/vhjvvvd7wYiQyNGjODVV19l7Nixp7Wv9jM39V1syXc0bMfo888/5/7776dHjx5cc801dOvWjccffxyAsWPH8u677/LTn/6Uv/71r1x11VUtGjs3NxeAoqKiettq1/Xr16/R491uN+vWraN79+4NVqV1796d1atX4/V6I5pSS3QEIN3eNu8Y4fWBYbadDvUuJ7KiEunxIdppa5dEpp7itUq8jhg9Pw9j2eeBZWNzIbbzzoqjRYpgsrKymDFjBjNmzGj2Mf/617+atV96enrI2EndRPYPf/gDV155JcuWLePee+/l+uuvD9k+fPhwHn74Yd55550Wjz1mzBjAEmk8lW3btuF0OptUw/R6vSERrFPRNA3TNJucs2wTOOzI0rZf/m2pXSfm21s4CCEQmo5Z0pBUmyLeBOsXAWiqeWzEiN7dIWjqOJnL9hXJT9iO0caNG7nzzjubnGYYM2YMe/fubfHYY8eOpU+fPixdujSkL8vRo0cpKChg6tSppKXVJRUXFRXh9/sDy9nZ2fTs2ZPDhw/X0ys6cuQIhw4dokePHmRnZ7fYtqTCYQePr02LBkpZq3advH15GiTFCSfL2/S1S1ZCIkZZGYiM9lHgEEuEJtDz6xKuzR17kb6qOFqkaM+E7Rj5fL5ALlBj1M5DthSbzca8efPYt28fCxYswDAMysvLefDBB+nUqRN33XVXYN+PPvqI888/n9mzZ4eMce+99yKl5L777gs4R4cPH+bee+/FNE3uvffeFtuVbAghrLLHtqyC7atCVlUh7AlZYBk2Vq6URJY2XX2paH2Ce6SpaFH00IIcI/wG5o6Wv1QrFNEgbMcoNzeXv/3tb03uU1sNFg7jxo3j1Vdf5euvv2b8+PFccsklZGZm8vbbb4foG3Xs2JH09HS6d+8ecvyUKVN49dVXSUlJYdq0aZxzzjlMmzYNl8vFK6+8wmWXXRaWXUmHXccsb7sq2NLtRdB2ptFCSKkRfPS3L32cREZ6fMjjJYFl1QokemgD+0JQgqyaTlPEi7Bfs6dPn87jjz/Oxo0bueqqqwIq1YZhcOjQIf72t7/x8ssvM2fOnLCNGz16NK+//nqT+4wbN461a9c2uG3s2LHNymhv0zgcUO5GtqXk5CCSXu26CYRNR3oMZEUlIisxK3TaG+aB0PwioSJGUUO4nGgDegf6pRmbC5NWBVuR3ITtGP3whz9k9erVvP/++3zwwQeB9cOHDw8oVF588cVce+21ERupCB+ha1Y5u9cHbUwFW1b7we2D9Lb1uUJwOpHHS5CZGeoBkQDIUyrS1FRadNHy8+oayZZVIg8eRfRWUTlF6xJ2CEHXdV544QUefPBBcnNzA5LcpmkyYMAA5s6dy4IFCxJW66FdoQmrcqut4fUBjVcftgWEww6+Kqhs4xWUSUJI4nVmOiKz6TxLRcsIyTNCTacp4kNEGatCCK6//nquv/56KisrqaioIDMzs16vFEWccTqQZRXIzh3blBNhllWE5CS0WRx2zBMlaOmpber6JSMhide9VbQo2mg5WYhunZBHjgNgbNqJ7ZLz4myVor0RdsQoePoMIC0tja5du9ZzioYMGRLuKRRRQthtyKoqK/LQRpCGCeVucLbN/KIQnA4r4udpw9WFSYD0+pDHTgaWVeJ1bAiOGskDR1VlpqLVCdsxak5SdWFhYUQdfRXRQwiBbEsPVq8PTAPRDiJGQgiErmOeLI23Ke2aU/OLVOJ1bNCHhk6nGVt2xckSRXslbMeotqNuY/zpT3/ie9/7ngr9Jwo2e5t685JuD4i2V2XXKClOKK1Qondx5NRWIJpKCo4Jom8PSK1r1WRuUnlGitYloifLrFmzKCwM/dLu37+fH/7whzz55JNR70CviACnHdxeq5IryZFSWq1O2sM0Wg1C00DQLlq8JCohpfqZaSrxOkYITUMbUqd/Z+7YqxTgFa1KRMnXDz30EDfeeCOvvPIK/fv35y9/+QtPPfUUbrebiy++mJ///Oece+650bJVEQFCCCRYU1DJrhJdVY2sqkZrb60YUlzI4hJkdibCluTXMAkJnkpT+UWxRR86AHPtZmuhqhqzcD/6kPDEghXRwev18tZbb7F48WKKioqQUuJyucjNzWX06NFMmTKFvn37AvDNN9/w1ltvsXr1atxuN1JKhg8fzk033cS4cePqje12u/nd737HkiVLOHnyJHabjXPPO4+7776bHj16tPZHDd8xeuKJJ/j2t7+N3+/nxhtvpF+/fqxevZqMjAx++ctfMm3aNACWL18eLVsVkaLrmGWV6EnuUFhq1+0PoetIQyLLKhHZHeJtTrvCSrwuDiyr/KLYog3qB5oGNb0yzU07lWMUR/x+PzNnzuTw4cM8/fTTjBo1CiEERUVF/OY3v+HZZ59F0zRuueUW1q9fz9VXX8348eN588036datG8ePH+fBBx9k5syZPPnkkwH/AMDj8fDDH/6QI0eO8Nvf/pazzz6bIwcOcOc993D11Vfz7rvv1utsEWvCnkqbPn06AJdddhl33303a9as4ayzzmLx4sUhH/rLL7+M2EhFlHDaobwSGdSYNxmRZRVgbz/TaCGkOJAnSpL+GiYb8mARBNWRKGHH2CJSXGj9ewWWjc2qkCeerFixgoKCAmbPns3o0aMDucNdunRh/vz5nHHGGYF9TdNE13WeeuopunWzIqudOnXiySefJCUlhSeeeCKk6ftrr73Gpk2buP322wNjd+/Wnccff5zjx4/z1FNPte6HJcIco1q++93v8vjjj3PkyBGqq0PngiNpCaKILkLXwTSSuuxb+v3g9oKjfU4lCbsdqvzQFgU7E5h6iddqKi3maMHVaSXlyMPH4mdMO2f37t0A5OTk1NumaRqzZs1i4MCBAHTr1o377ruPjh07huyXlZVFbm4uJSUl7N+/P7D+k08+AajXvisvL4/u3buzZMkSystbt3Co2U+XG2644bT7uN1urr32WgYMGBCRUYoYIjSk24NI1vYgHh9Is6b7fDvFYcc8rgQfW5OQxOuMNOigEq9jjZafBx9+Elg2NxWi9ejSxBGKWNG5c2cA3n//fSZMmIB2yv23dgYJLMdo5syZDY5TGynq0KEuFaC42JqiPtWRAsjOzubQoUNs3LixwdykWNFsx2jNmjXNHjR4X3XjTjCcdmRpBbJTcqpgm+Xu9qF23RROO7K80oqcJauDm2SEJl53TcrfTrKhdc5GdO4YENU0Nhdiu7j1Ho7hIE2DsuLtGH5v659bgs/rxetyEfz11G0uMrMHIrTw75sTJkwgPT2dpUuXMn36dK677jomT57cYASpMUpLS9mzZw9jxowhOzs7sL5jx47s3buXEydO1Bvv5Enr2h86dChs28OhRfMRW7dubfEJBg8e3OJjFDHEZkNWuKGqGpyOeFvTIqRpQnklOJLL7mgjhACbJfioK8co5khfFbLoRGBZJV63HtrQARj/tvJU5b5DyPJKRIIWj5hGNZ//3yxKj22Ktyn16NB5KOMufxlNDy83Mzs7m4ULF3L//fezdetWHn74YR599FFGjBjB5ZdfzvTp008rz/P2229jGAb33HNPyPrx48ezbt06Vq1aFZiOA9izZw+HDx8GrATt1qTZ8xHhhrGCQ2yK+COEQADS0/pvNBHjrQLDQNjaecQIrNJ9JfjYKtRLvFbCjq1GSFNZmdgq2O7ygwnpFAGUHtuEu/xgRGOMGzeOZcuW8cwzz3DxxRfjcrkoKChg3rx5XHbZZWzfvr3RYwsLC3nhhRe48847GTFiRMi2mTNn0q9fPxYtWsR//vMf/H4/e/ft4/777ycrKwsAl8vVwKixo9mO0SuvvBLWCf73f/83rOMUMcRuS0qhQEvtWk1hQI2Dq2nIkrajZp6ohOQXoRKvWxMttye4nIFlc3PiqmCnZvSkQ+eh8TajQTp0HkpqRs+Ix3E4HEydOpWFCxeyevVqFixYwNChQzl8+DBz585t8Jjjx49zyy23MH36dG655ZZ62zMyMnjzzTf5zne+w7x58zj//PO56557mD59eiCwUpvj1FrEvLTnoosuYsuWLbE+jaIlOGpUsP3+pBEKlFJaToCjnZbpN0SKC1lciszugEh20c4EJqQiLT1VJV63IkLX0YbkYhZYaRzmtt0Je9/SdDvnfveVuOcYOWOQY9QQTqeTSy+9lIkTJzJlyhTWrVuH2+0OmVIrLi7mxz/+Meecc06jjhNYU3Vz585l7ty5lixDtR/sNu677z6g9VNyIv52bd68ma+//prS0lKlM5EkCE1DStOq8MpIvBtMg9SoXYt01WamFqFrlsNYVonIUYKPsULur4sYab26qcTrVkbPzws4RviqMQsPoA/qF1ebGkNoOh06DYnLuaWUAcck2t/RxYsXs3z5chYsWFBvm9PpZNiwYRw8eBCv1xtwjEpLS7nxxhsZNGgQjz/+eKCSbdeuXXTp0oX09NO/YGzcuJHhw4fTtWvr5vWF/VT0+/3cc889LFmyBCml1XIiyDFSN48ER9cxK9xJo4ItPZbatfpenYLLiTxxEpmVgdDbsYRBjLASr4MUr3urxOvWRhvc35pCr3m+mJsLE9Yxaqv4/X7Wrl2L1+utl+8jpaSwsJCePXsGqs3Ky8u58cYb6d+/P08++WRIef8jjzzC7NmzA7pF+/fv58477+Sdd95BD6o4/vrrr9m1axfPP/98K3zCUMJ2jF5++WU+//xz5syZwxlnnMGPf/xjXnvtNcDqqbJ27Vpee+01HnjggagZq4giDgeUVSK75iSFJpAsq0z+Hm8xQNhtViJ9pRtUU9OoIw8VBR7IAFpP5Ri1NiItBZHbE7nrAGC1B5HTJqmXpFbm2LFj3HXXXdx7773k5uYihODIkSMsXLiQwsJCnn32WQAqKyu5+eab2bVrF+PHj+eFF14IGefgwdAk8KqqKjZu3MhvfvMbfvrTn2Kz2Vj79dfcO+d+rr/+eiZPntxqn7GWsJ80ixcvZt68eVxyySWA9SY/ZsyYwPYLLriAfv368dlnnzFjxozILVVEFWHTMd1eq9IrtXUz/luK9BuW0nOC2xk3nA7MEyVoGWnqYRFl6ileq4q0uKDn5+GvcYxkcSny6AlEt05xtqr9MGnSJObPn8/KlSu59dZbqaiooKqqCqfTyciRI3njjTcYPXo0AJ9//jkFBQUALFq06LRj5+TkcOWVV7J06VLeeustXC4XvXv14mc/+xnf+c53Yvq5GiNsx+jAgQOce+65geWG8osuvvjiuPQ5UTQPoQlLBTvRHQ6vD6RMishWPBBOB2ZZhRJ8jAEhjlFaCmRlxM+YdoyWnwd//zSwbG4uRFOOUauRlZXFjBkzmhXkmDx5Mtu2bWvR2E888URgOTj5Ol6E/aRJSUkJeTvNycmpFyIrKSmhoiL5ysLbDY4aFewET5o3yyutTtuKRhF2G+aJknib0eZQideJgeiag8jJCiwbmxK3bF+R/IT9tOnbty/Lli0LWX7hhRcwDAOw5g1//etf06NHj8itVMQGuw3p9Vkq2AmKNCWUVSadSner43IiK9zW9VREBVlVjTwapHitEq/jhhAiROxR7jmIVI2UFTEibMfo/PPP55FHHuG5554D4JprruG9997jwgsv5JprruGCCy5g6dKlfPe7342asYroIoSwqgkTWQXb50MqtevTYgk+CsyTSvAxWtRLvFbCjnElVAVbYm5NXBVsRXIT9iTejBkzSE1NDZTnffe73+Wrr77i3Xff5fjx4wBccsklzJo1KzqWKmKD3WZVfGVlxtuSBpGVHiV23VxSXFBShszpgFBCmBFj7j8l8Vr1SIsrWl5vcNrBZ0W4jU2F6KMSU2lakdyE7Rh17dqVG2+8MbAshOAXv/gFs2fP5tChQ3Tv3p1u3dQbVsLjsEOlB+lPzKiMLFNNY5uL0DQkEllWgejUMd7mJD0yuBVIWgp0TMyXh/aCsOlog3Ix11s9ucytu61osp549y1FchP1jNauXbty1llnsWbNGr766qtoD6+IMkLTrOmCBMxNkb4qK2dG6Rc1H1dNm5CaXD9F+ARXpGm9uqrE6wQgZDrN68PcHVljVIWiIcJ2jIYMaVr2/J133uH6669vlo6BIs5oGrKiMt5W1MfrQ0ildt0ShE2HagNZ7o63KUmNlXh9PLAsVH5RQqAP6Q9BtwNz0874GaNos4TtGJ2uxPuNN97g5Zdf5q233gr3FIrWwulAllZaFWAJhFlWCQ4VLWoxTjvy+MmEu57JhDx8DMzgxGuVX5QIiIw0RJ+6SmdzsyrbV0SfsB2j5rzFDx06lNLS0nBPoWglhE1HGn7wJc50mjQMqHBbOVCKFiGcDvBVgVuVM4fLqYrXQjlGCYMeXLZ/7CRmUC87hSIaNPt1/F//+hfLly8PWffAAw80Gjmq7X/Sv3//yCxUtApCCKsCLCVBVLA9PjCV2nXY2G2YxaXo6anxtiQpCRZ2JMWFyO4QP2MUIWhD8+CfKwPL5uZCtC7ZcbRI0dZotmO0detW3n///cCyEIK//e1vTR7Tt29f5s6dG751itbD4bAqwBKkmklWuEF1iw8flxNZUYn0+BApznhbk3SEJF73VonXiYTo3tlqzVJiaXaZmwthwjlxtkrRlmi2Y/SjH/2I6dOnA1Z+0eTJk+tFkGoRQpCZmUl6uur2nTTYbZZyclV13DVwpCmR5UrtOhKEEKDpmCVl6Cmd421OUiGr/cgjKvE6URFCoOfnYfx3HQDmrgNIjzdxot2KpKfZjlFGRgYZGXUNFM855xx69uwZE6MUrY8QAiTg8cY/r8dXhayuRnOpSEdEpDjhZDkyJyvuzm4yIQ8dA9MMLKvE68RDGzog4Bhhmphbd6Of1XSltCIyvF4vb731FosXL6aoqAgpJS6Xi9zcXEaPHs2UKVPo27dvYH+fz8fChQv5+9//jtfrpVOnTtxwww3NakQbb8Iu+Xn99dejaYciEXDYMMsq0TvEt4O4dHvV1EUUCAg+lpYjOqscjOZiBgs7AqK3ihglGtqAPtYLXE2fR2NzoXKMYojf72fmzJkcPnyYp59+mlGjRiGEoKioiN/85jc8++yzaJrGLbfcAoBhGNx2220UFhbyxz/+kf79+7NixQp++tOfUlRUxO233x7nT9Q0EddC+3w+Pv30U7Zs2UJ5eTkZGRnk5+dz4YUX4lCKxcmFww6V7rirycqycrCrCEdUSHVhFhUjUlwIlYjdLEIUr1XidUIi7Da0gX0xN1o6RuaWXUjTVMUaMWLFihUUFBQwf/58Ro8eHVjfpUsX5s+fz/r160P2//DDD/nss894+umnAwVYkyZN4qqrruKFF17g8ssvp0+fPq36GVpCRI7R0qVLefTRRzl58iRg5R7Vvunn5OTw85//nIsuuihyKxWtgtA0pCGtirA4PURlVXVcz9/WELoOLifm/iNo/XqoPIxmoBSvkwMtPy/gGOH2IvccQvTvFV+j2ii7d+8GrOf6qWiaxqxZs+jYsa5w55133sFms9V7/l9yySW8+eabvPfee9x1112xNToCwnaM/vOf/3DnnXficDi44IILyM3NJSUlBY/Hw65du1izZg0//elPefHFFznvvPOiabMilugassIdv+hCTWsS9TCKHsJhR5rSco769rB0jhQNIv1+5OHgxGuVX5So6Pl5+IOWjc2FaMoxigmdO1sFHO+//z4TJkxAOyUyV1uYBdYs0vr16+nbty8pKSkh+w0aNAiANWvWxNjiyAjbMXr++ecZNWoUCxYsIDu7fv7CiRMnuOOOO/jtb3+rHKNkwmlHllciu+QgtNZ3TsyySkjAZrbJjnA5kG4v5oGjaH26I1T/uQaxFK9V4nUyIDLTEb27BTSnzM2F8J0L42qTaRocK9lOteFt9XNLKfF5fTgrnSEvlnbdReesgWha+PfVCRMmkJ6eztKlS5k+fTrXXXcdkydPbjCCtG/fPgzDoEuXLvW2ZWdnY7fb2bt3b9i2tAZh3x23bt3K4sWLG3SKwAq5zZ8/nyuuuCJs4xStj7DZMN0+Szm5lfVvLLXrSlDTPTFBpLqQFW7Mg0fRendTXckbwNx/quK1SrxOZPT8PPw1jpE8chzzRAlaTlZcbDGMat5cPosjxRvjcv6m6JY9jO9f9DK6Hl7uZnZ2NgsXLuT+++9n69atPPzwwzz66KOMGDGCyy+/nOnTp5Oaas0ylJdb+lKnRotqcblclJWVhfdBWomwM9VcLhc9evRocp8ePXoE/liK5EFoAulu/TcepXYde0R6Kri9mIeOIYMiIwqLkMRrlxPRKStutihOjxbUHgTi2zuttPJgQjpFAEeKN1JaeTCiMcaNG8eyZct45plnuPjii3G5XBQUFDBv3jwuu+wytm/fHiVr40/YT6DRo0fzxRdfNLnPmjVrGD9+fMi6OXPmhHtKRWtht1mVYa2MrPSAyi2KPempUFaBefTEaZtBtzdU4nVyIXp1hcw6IWFzU/wcow5pPemWPSxu52+KbtnD6JAWue6gw+Fg6tSpLFy4kNWrV7NgwQKGDh3K4cOHA10uavUOPZ6GezV6vV4yMzMjtiWWhD2Vds8993DHHXdw/PhxpkyZgtNZN+3i9Xr56KOP+OCDD3j22WdDjvvggw944oknwrdYEXscdmhlFWxpSmRZBbhUYnCsEUIgM9KguBRp05XGUQ1W4vWxwLJKvE58LBXs/hirrXJxs3Af0utDxEEcVtftXDf5lfjnGLmin2PUEE6nk0svvZSJEycyZcoU1q1bh9vtpk+fPui6TlFRUb1jiouLqa6uDhGCTETCdoxuuukmKioqmDNnDnPmzCErK4vU1FTcbjclJSWAlWd09dVXR8tWRSshhEAirQqx1lJMrqpCVvmV2nUrIYRApqdiFp0A3YaWndhvcK2BPHwcjKDEayXsmBRo+XkBxwjDxNy+F/3MgfGxRdPpmh0foUkpJW63m9TU1KhHOhcvXszy5ctZsGBBvW1Op5Nhw4Zx8OBBvF4v2dnZnHnmmWzYsAGPxxOSa7Rt2zYAxowZE1X7ok3YU2kHDx4kLS2N7t270717d1JSUpBSkpKSEljncDiQUob8UyQJNksFu7Ww1K5b7XQKLN0qkZqKebgIs6wi3ubEnXqK1ypilBRoA/uBre4d39y0M37GtFH8fj9r167F660fCZNSUlhYSM+ePQPFWFdffTV+v79eP9UlS5Zgs9m48sorW8XucImoZnfFihUtPmbw4MGRnFLRWjgcUFHZairYsrQi/j3a2iHCpkOKC3mwCKnriLSGK0naAzK4Is3lQOR0bHxnRcIgHHa0M/pgbtkFgLFlFzZTxkVupC1z7Ngx7rrrLu69915yc3MRQnDkyBEWLlxIYWFhSNrMFVdcwd///neefvpp8vPz6d+/P5988gl//etfue2229ruVFqwoFNrHKdoXYSuIU0J3iqI8cOyTu26/T6U44mw25CmiXmgRgCynU5nBkeMtJ5d1YM1idDy8wKOERVu5P7DiL5NV00rms+kSZOYP38+K1eu5NZbb6WiooKqqiqcTicjR47kjTfeCGkVous6v/vd73juuee48cYb8fl85OTk8Mgjj7TtJrLhJlCrxOskQghLBTvWUQSvD5CqAiiOCKcD6fHWqWO3s+id9BtK8TqJ0fPz8L+3LLBsbCpEU45R1MjKymLGjBktcmqcTif33HMP99xzTwwtiw0xF4w5++yzY30KRaxwOpBlFTHPDTPLldp1IiBSXGCamAePIv1GvM1pVeSR42DUfWZNCTsmFaJjJqJHndJyPPWMFMlP2BGjL7/88rT7SCkb1TJQJD7CbsP01qhgx2h6RRomlLtjNr6iZYjUFEsd+1CRNZ2ktw+xzXqJ171VxCjZ0PLzMA5ZJeLyUBHyZBmio6q2VLScsB2j66+/Xk19tAMENRVjsXJcvD4wzHbzAE4K0lKg3I155Dha987tItdGBgk74nQgOiltp2RDH5qH8a/PA8vG5kJs550VR4sUyUpEVWm33357vXUej4cjR47w2WefkZ+fz6hRo8Ie/6uvvmLBggXs3LkTTdP41re+xb333ku3bs0Pc2/fvp3f/e53AfEpp9NJfn4+N910U0iymKIRHHarYiy7Q0yGl5UeaAcP3mTCEoBMhZIypE2DLjlt/iXI3F8XMRI9u7QLZ7CtIXp3t1TdK9xAzXSacowUYRCRYzR79uxGt/l8Pu6///6wc4xWr17NrFmzmDVrFq+88gput5u7776bq6++mvfee4/OnTufdoxPP/2Uu+++m7lz5/LrX/8am83Gp59+yuzZszn77LOVY9QcHHao8MREBVvKGrVrp1K7TjRqBSDl8RLQdUSntlu6Lg0jRPFaCTsmJ0IT6EP6Y3xp9Sszd+xF+qoQ6v6iaCFhz198/vnnTW53Op3cfffdPPPMMy0e2+/3M3fuXPr06cOdd96JzWYjMzOTxx57jOPHjzdrzOLiYu69915uv/12pk2bhq1GAOzCCy/khhtuaJZjpbAekMgaFexo46tCVlUh7BH554oYITQN0lIwj57ALG393nmthTxyHPzBidcqvyhZ0YYOqFvwG5g79sbPGEXSErZj1LHj6d8gMzIy2LFjR4vH/uKLL9i3bx/f/va30YI6rXft2pWRI0fyj3/8g8rKplWZ33rrLSoqKvje975Xb9u9996r9JRagl23KseijHR7Eagpi0RG6Doi1YV54CiyZoqirWEGCzsCQlWkJS3awL4QlK+oqtMU4RCzjFcpJS+//HJYXXTXrFkDwKBBg+ptGzx4MD6fj2+++abJMf71r3/Ru3dvOnSITW5Mu8LhgHK3VUEWRWRZBdjbl15OMiJsNoTLibn/CNITg8hhnJHBFWlOu2qqm8QIlxMtr09g2dhcqFpRKVpM2HMYN9xwQ6PbPB4P+/bto6ysjFtuuaXFY+/evRuALl261NtWu27Pnj2ce+65DR5vGAY7duxg5MiRfP7557z44ots374dXdcZOXIkt912m2pN0gKErllOkdcXNRVsWe0Ht9dKllQkPMJhR5oSc/9hSwCyDeVtmEEVaUIpXic92tA8zO17rIWySuSBowiVN6ZoAWE7RrVRnYZwuVz07duXm2++mRtvvLHFY1dUVATGaWhsgPLyxnMeysrKqKqqYvv27dx///386le/YtSoUezbt497772Xq6++mj/96U9hJ4YbhoFhRFcAzzCNwNiJiERillWguaLzQJSVbqRpIhK0uXDtdUjU6xEXHDak24u57zCid7dWzQ2L1fWQhok8VJd4LXp0Ude8mSTsb2RQv5BF/8Yd6D2ik1NqGEbCNkWvtSfR7GoxUgb+NfeT1F6Ppr6LLfmeRnRn27p1aySHxwyfzwr3l5SU8OSTTzJ27FgA+vfvz69+9SumTp3K/Pnz+dvf/hbW+Nu3b4+arbXY3F6cwM6didkZWhgGYi+4u2RBFEq3nSfL0b1VmAneeiJRr0c80X1VmIU78eRkgta6+lMbNmyI6njOk+UM8PsDy/sML6Xr1kX1HG2daF+TaJDXIQ1XqZUXWbl2I7u6RC8ybbPZ8Hg8IfmviURbEFXW/Aamv/ndEEzTpLq6OmrfxVZvItsc0tPTAfB6vfW21a7LyMho9PjgSNO4ceNCtuXl5dGzZ082bdpEcXEx2dktzycYOHAgqanRnQLyF5ew+79fMmDAAPRW6GYfDrKsEtG/FyLCqJE0TeSOfVYH8wT9rIZhsHPnzoS+HvFEllVCZiqiRxerei3GGIbBhg0bGD58eFSvh/nlRoLfI/udNwbRNSdq47dlYnVNooFxqAzzE6s7Q0pxOSNyByA6pEc+bs19ISUlJeE+c22niZSUlOTWHZMSqv1gtzX7JdwwDOx2O0OGDGn0urjd7mYHNVq9iSzARRddxPLlyxvdnpubC0BRUVG9bbXr+vXr1+jxHTp0IC0tjcrKygar5zp16sSBAwfCdox0XY/6j0JqemDsRH0TkTYNUVWNFmGekfRWYSIRSZB4ncjXI57IDulQXgnHS9C6dWq1G3G0f3vmwaB7jMOO3q1Tqzh6bYlY3A8jRQw9g6pPgtpWbd+D/q0R0RlbiMC/RCRWtnm9Xt566y0WL15MUVERUkpcLhe5ubmMHj2aKVOm0Ldv35Bjjh49ykMPPcR//vMfli9fTq9evU57Hml9CGjB56j9zE19F1vyHY3LHeDgwYNNbh8zZgwA27Ztq7dt27ZtOJ1ORoxo/EsuhOCssyzF0xMnTtTbXlxcDBCWU9SusdmRUdCzkW5Pq0/BtCeklMjScsyd+/B/vg7/qgJkSXR1iIQQkJEGxaXI4yejOnZrEpp43TrRL0XsEX17QGrdzIEq248Mv9/PzJkzeeWVV3jggQdYuXIlq1at4s0336RLly48++yzLFmyJOSYDz/8kGnTpiVsyk1TxOUucDovcOzYsfTp04elS5dimnUl4kePHqWgoICpU6eSlpYWWF9UVIQ/KE8A4MorrwTgs88+C1m/b98+Dhw4wMiRI5Vj1FKcdnB7rYqyMLEe2hWWorYiYqTfwDx6AmPjDvyfrKH6nY+pfuEtqv/4Pv7/+zfm6vWYazZQ/d4ypD+6SbJCCEhPxSw6gVlcFtWxWwMr8bouYqQp/aI2g9A1tCH9A8vm9r0R3bfaOytWrKCgoIDZs2czevTowDO8S5cuzJ8/nzPOOCNk/08//ZSXXnqJl156ifPOOy8eJkdEQr4e2Ww25s2bx759+1iwYAGGYVBeXs6DDz5Ip06duOuuuwL7fvTRR5x//vn12pNcdtllTJw4kQULFlBQUABYjtX9999PSkoKDz/8cKt+prZAwKGNRAW7qtpqL5IE02iJhnR7MfcewvhqE/5/rqT6tcVUL/wL/r/8A2PZ55jrtiIPFkFVdf2Dyyowt+2Ouk1C0xCpqZiHizDLKqI+fiyRR09YuQw1KMXrtoWen1e3UFWNuXNf/IxJcmoldHJy6uffaZrGrFmzGDhwYGDdsGHDeO+99xg6dGir2RhNErYXw7hx43j11VdZsGAB48ePRwjBt771Ld5+++0QfaOOHTuSnp5O9+7dQ44XQvDb3/6WF198kfvuu4+SkhJsNhvjxo1j/vz59O/f/9RTKpqDrmOWu9Ez0k6/bwNYateKppBSQkk5ZlEx8vhJ5LFiZFExVEZWbWKu3YyWnxf1/ANh0yHFhTxYhNR1RJS0rmKNGSzsCErrpo2hDc61puxrZh3MzYXoQ9R9PxxqW2i9//77TJgwoV7e5anFWA05UMlEwjpGAKNHj+b1119vcp9x48axdu3aBrc5HA5mz57dZLNbRQtx2qGsAtktJ6x8DEvtOqG/dq2KrK5GHi9BHqtxgI4VW41bwwn722yIzlmIztmITh0RXbIxt+3BLNhinetECXLfYSv/IsoIuw1pmpgHjlgCkC5n1M8RbWRQfhF2G6KLmlpvS4gUF1r/XoFIkbFpJ7YrJ8c0adqQJttL9+I14qEQL/F6fbi8Tgh6/XTpTgZ26Isuwp8gmjBhAunp6SxdupTp06dz3XXXMXny5KR3gBpDPaEULULoOtI0wNNyFWzpr1G7Tq0v3NnWkVJCpSfEATKPnYSTYebmpKUgutQ4QJ2z0bpkQ4f0es6qyEjD/GYrmJZUmrF2E1oMHCMA4XQgPV7M/TXOUYLnkanE67aPlp9XN4VWUo48fAzRo35HhWhQbfqZtepRNpUkXqL30Kw8Xj7vUexaeI/87OxsFi5cyP3338/WrVt5+OGHefTRRxkxYgSXX34506dPj7qETTxRjpGi5QgN6fa0fMrE4wNptvkHkDRNZHFZXQTo2EnksZPgqa/LdVqEQGR3QHS2HKDA/zfTuRTpqWgDczG37rJs23sY8/hJtE6nbwIdDiLFhXR7MA8eRevd3ZpmS0CkqRKv2wNafh4s/iSwbG4uRIuRY3TQXZSQThHAppJCDrqL6Jce/kvRuHHjWLZsGcuWLeOf//wnq1atoqCggIKCAv7whz/w4osvhuQZJTPKMVK0HKcdWVqB7NSxRWFps9wNCaZ3EinSV1UXBTp+Ell0EnniJITTcNdhr+8A5WRF7Fxoo4YEHCMA8+vNaN+OXaWISE1BVrgxDxWh9eyK0BPPEZZFxSFJ6kIlXrdJtC7Wb0kesyQljE2F2CaPO81R4dEztQtDs/IS0jkampVHz9TIHUKHw8HUqVOZOnUqPp+PTz75hBdffJFNmzYxd+5c3n777ShYG3/i4hglfS+X9o7NhqxwWw+WZjYTlaZpCQI6krP5qJQSyisDTpBZ8/+UhlmJlZkWyAWqvXmTmR6T/AetSw6idzfkfivZ2Ny6G3ne2bFNkk5LgXI35tHjaN06J1xj1tq/RS0qYtR20fLzMD79CgC57xCyvBIRZvFIU9g1G6+Mnxf/HCNX9HOMGsLpdHLppZcyceJEpkyZwrp163C73W1iSi1sx+iiiy4CYOLEiTz00EMtOrYp1WtF4lP78JYeb/O7rHurkH4DLUnyi2SFm4wDxzGOlGMcr5kK81W1fCBNQ3TKCuQCiS4drf9u5eRk/ex8/LXOgGFifLMV27lnxex8QghkRiqcLEPqGnTJSSilYPPUxGvVBqTNEuwYIcHYsgvbmOExOZcuNIZk5cZk7NMhpQw4JtH+rS1evJjly5ezYMGCetucTifDhg3j4MGDeL3e9u0YHTx4kO985zt873vfa/GxPXv2DPe0ikTBbrOEGrMym7W7dHsSLmrQGObhYxjvLqGLYTa7uzNg9X7rnB06FZadmRD94ERuT+iYGUj2Nr/ZjjxnOCKGFYJCCGR6qlVlp+uIGOU1hUNwqb7o0SUhp/sU0UHr3wtczoD+mrm5EGLkGLVV/H4/a9euxev1hvQiBcshKywspGfPnm1GNDnsu2JKSgrz5s1rE96hIgwcNSrYfj/C1vTXSEpptaRI8CqlWoyVX58+Rygrw6oGC8oJIj36b2rRQgiBfnY+xvLV1gqvz9J1GTEotufVNGRaCubRE2C3oXVovPlzayFN0xLCrEEJO7ZthK6jDc7FXGe1pjC37Ub6jYQtDEhUjh07xl133cW9995Lbm4uQgiOHDnCwoULKSws5Nlnn423iVEjbMdo0KBBHD16NNDwtTHmzJkTUcNZRWIiNM3Ku/H4IOM0X6Natev0xHeizQNHkQeDpll03Yr+dOpoTYPVagQliZMXjJbfH+O/BdY1A4yCLWhnDoy5Myd0HVJdmAeOInQ97t+DeonXStixzaMPzQs4RviqMQv3ow/qF1ebkolJkyYxf/58Vq5cya233kpFRQVVVVU4nU5GjhzJG2+8wejRo0OOmTx5Mh6Ph/Jyq0/jVVddha7r3H777Vx33XXx+BjNJmzH6H//93954okn+O1vf1svtBbMBx98oByjtoquYVacXgVbeiy160SNpgRjfLE+8N8SsP1gKnpOVtzsiSbCZkM7cxBm7Wc8WYbcdQCR17tVzo3LaWkc9euJSImfAGSIsCMqYtQe0Ab3tzq21xT+mJsLlWPUArKyspgxYwYzZsxo9jH/+te/YmhRbAnbMSooKKCqqooLL7yQ888/n+7du+N0Jr7arSKKOBxQVons2rQKtiyrTAq1a/PwMeS+w4Hliu7ZdOzYvByqZEEfMQjzq42BqULj681oreAYAQiHHWlKzP2HLQHI5ibuR5mQViA2G6Jrp7jYoWg9RFoKol9P5O4DAJibdiKnTUqKlzVF6xP202rhwoWB//773//e6H7qi9d2ETYd0+0Fb1WjatbSb1g9vpKgGi04WgRwsn8PEiddODqItBS0If0xN+4ErOiJefQEWitVZQmXw2qGe+AoWp/uMU3+bowQxesenVXidTtBH5qHv8YxksWlyKMnEN2UU6yoT0R3pddee63J7VJKZs6cGckpFAmO0GoqzhpzfLw+kDLh1a7NoyeQuw8GlsWAPlRnJEcz1JainZUfcIygRvBxyvmtdn6R6rIEIA8eRevdrVWr9qQpQ3LI1DRa+0HLz4O/fxpYNjcXoinHSNEAYTtGDoeDMWPGnHa/U7veK9oYDoelgp2T1WB00CyvtDpcJzinRou0McOg+FicrIktWqcsRL8eyD2HADC370GOPzsmoneNIdJTkeWVmIeOobVinzJ5rBh8wYrXKvG6vSC65iCyOyCLSwEwNhdimzQ2zlYpEpGw70br168//U7AihUrwj2FIhmw25BeX0iVTy3SlFBW2Wx17HhhHjuJLNwfWBb9eyE6tw09jsbQz86vWzAlRm3FTmuSngplFVa0rpXU8OWBUxSve6uIUXtBCIE2dEBgWe4+iKz0xNEiRaIStde048ePs3VrHG6uirgihLCE/BpqkOrzIY3E1wsx14Q6+frYM+NkSesh+nRHdMoKLJsbtiMbcG5jaoMQkJEGxaXI4ydb5Zwhitc2XeWYtDO0/Ly6BSlDeggqFLVE5Bh5vV5+85vfBCrTrrzySgA+++wzZs6cyfbt26NipCLBsdusyrNTkJUeEj33Xp4owdy+N7As+nZvF3kHQgi04KiRrxpz087GD4ihHaSnYhadwCwui/n5zKAeaaJ754RQJVe0HlpeL3DWaZAZmxOv4asi/oTtGFVUVHDttdeyaNEijh49SmZmZiAcPmDAAFwuF9dffz179+49zUiKpMdhh0qPVYEWhCxL/KaxxpqNIcvtIVpUizYoF1LrEsyNr7dYzX5bGaFpiNRUzMNFmGVhNuVtBlbidZDitRJ2bHcIm8363tdgbtmNNIwmjlC0R8J2jBYtWkRRURGPPfYYBQUFfPHFF4Ft3bp1Y9GiRVx66aUsWrQoKoYqEhehaZZwmreuo7T0VVm5RwmsXyRLyjC37Q4si15d0Xq2n5wTYdPRRwa1BCmrCMm1am1bRIoLebAoZnkf8nhxSCNgoSrS2iUh02leH2ZQNapCARE4RsuWLeNXv/oV3/ve90hJabis+eabb+bLL78M2zhFEqFpyIqg6TSvDyETW8fK+HJjQAkX2le0qBbtzIEQlANmrN0cN1uE3QZ2G+aBI5ZTHWXqK16riFF7RB/SH4JuS6aaTlOcQtiO0eHDhxk7tulSx5ycHIqKiprcR9FGcDqQpZVWJRpgllWCI4GjRWUVITdE0b1zu+yZJVJcIW/Q8vAxzEPxkykQTgcIgbn/SNSTwUMSr3WVeN1eERlpiD49AsvxyK1TJDZhO0bp6ens27evyX22b99OZmbbaqmgaBhh05GGP1CJRoXbyj1KUIwvN4IZFC361pkJHd2KJSGl+1htQuKJSHGBaWIePFovby0SZEjidaeEr5ZUxA49+GXg2EnMouI4WqNINMJ2jMaOHcucOXPYv7/hnITy8nIef/xxzj333LCNUyQXQggrP8TjAzNx1a5lhTvkLVF0zUH07dHEEW0b0TET0b9XYFnu3IcsLY+jRSBSU8DjwzxUhDQiTwiXpsQMUbxuf9FBRR0heUaAuUVNpynqCHuuY/bs2Vx11VVceumljBkzhsGDBwOwYMECDh48yIoVK5BS8uSTT0bNWEWC43BYlWh+AxK4/5Tx1aZAE1Wwcovaa7SoFn3UUPy7rD5SSIlRsBXbhHPia1R6KpS7MY8eR0YouClPnLR6+tUglLBju0b06AxZGVBivQCYmwrhwjh/3xMcr9fLW2+9xeLFiykqKkJKicvlIjc3l9GjRzNlyhT69u0LwDfffMNbb73F6tWrcbvdSCkZPnw4N910E+PGjYvzJzk9YT+98vLy+P3vf092djaff/45r7zyClJKFi1axOLFi0lPT+fFF1+kX79+UTS3bSKrqjE/X0fmvqKoTh20OjUq2LKsImHVrmWlB3N9nb6W6NwxJFrSXhE9uyC61DWSNTfuQAY5EvHAEoBMhZNlViuPCNSxVeK1IhghRMh0mrnrQMMitQoA/H4/M2fO5JVXXuGBBx5g5cqVrFq1ijfffJMuXbrw7LPPsmTJEsDqinH11VdTVFTEm2++yRdffMFHH32EzWZj5syZfPDBB42eRxomsqwS6fZA64jhN0hE2bFjxoxh+fLlLF++nPXr11NRUUFGRgYjRoxg4sSJOBJcwyZR8C/9L+aKNWQD5rLP0adeEG+TwkIIARKk34+W0khT2ThjrN0MQbol+pi2HS2SUkJVtZXU3ARCCLRR+Rj/XGmtqPZjbtyOPnpYK1jZtF0yPRWOl2CvCP/BFSzsiK4huqvE6/aOlp+H8d911oJpYm7djX7WkLjalKisWLGCgoIC5s+fz+jRowPru3Tpwvz580NahJmmia7rPPXUU3Ts2BGATp068eSTTzJhwgSeeOIJvvOd72Cz1Xc/ZEkZuK3fudR0RGbr9W8MJuKyIYfDwZQpU5gyZUqD2xcuXMjs2bMjPU3bJki3RW7fgzn8DLQ+Sdp81+VAxEEksDlIjxdz/bbAssjugDijTxwtagW8Pqv03WE/rQOondEXY+VaK3EeMAq2op2Vj4jztKjQNEh1Yd8fvr5RcMRIdO+MaOCmrGhfaGf0tQpEaqofjc2FyjFqhN27Lb23nJycets0TWPWrFkBJ6hbt27cd999geVasrKyyM3NZfPmzezfv5/c3NyQ7dI0A04REPIC29qEfXe46KKLWL58+Wn3e/7555VjdBr0cSNCursbn6xB/PDyuD+QwkEkciXa11ug2h9Y1sYOb9PRIgD8fkRainXzP13USNfQzxpiOUcAFW7MHXvQB/dvBUNPQwTXSUoZUqqvKWFHBZZulnZG30AhhrllF9I0IyoaMaTJjtITeP3+0+8cZSQSn9eL0+NCBAk1uWw2zuiQgy7C/1ydO3cG4P3332fChAlop/yNpk+fHvjvbt26MXPmzAbH8df8XTp06FB/4ylT96eLcseSsB2jgwebVgutqKhg/vz54Q7frtD6dEeMHIys6XAui0sx121BHzU0zpa1HaS3CjO4g3xWBtrAfnGzpzWwWvRoVqPW4yXNyvvShp+BsfqbgANprt2MNig3qR1IeaIkRJVdqPwiRQ1afl5dharbi9x7CJEbXs5htWlwy3/eZ9PJxNPuG9qxCy9eMB27Fp5ExYQJE0hPT2fp0qVMnz6d6667jsmTJzcYQWqM0tJS9uzZw5gxY8jOrl9MUU/U1RU/xyiikMTPf/7zBtf/97//5fLLL28yyUoRijZxDEawAvHn3yBrpjQUkWOu2xIImQPoY4YnrJxA1KiqhhQnWmY6spmZjMLpQBt2RmBZFhUjDx5t4ojEp17itapIU9Sg54dGQ41N4ZftH6osS0inCGDTySIOVYbfpDk7O5uFCxfSrVs3tm7dysMPP8z48eO59tpr+fOf/4zbffpn1dtvv41hGNxzzz31tkkpLZmXWhz2iKLEkRLRk2Hnzp0hUSGPx8Ojjz7KrFmzOHbsmJpCawEi1UVJbtCbbLW/bkpDERHSV2VNo9WSmY6WCNNDsaaqGpGZDk4Hwm5HVjcvvK+fNSTkphTPNiHRICTxWtMQ3TrHzxhFQiE6ZIT0zIukPUiPtEyGduwSDbOiztCOXeiRFpnY8rhx41i2bBnPPPMMF198MS6Xi4KCAubNm8dll13G9u3bGz22sLCQF154gTvvvJMRI0bU36GqGoJzU+Nc1Rz2VFqPHj34/e9/z6xZs3jiiSeYPHkyDzzwAPv37ycvL49f/epXDB069LRTboo6yrtnk1PqgRoVVnPrbszhA1VORISY67eHNA/VzxmWlPlbLUVK0NJcCCEQHdKRJ0qb1dRXdEhHG9AHc8dea5xdB5AnyxAdk1PFPjTxupPVk02hqEHLz8Oo+Y7II8cxT5Sg5WS1eBy7pvPShVfGP8fIFf0co1ocDgdTp05l6tSp+Hw+PvnkE1588UU2bdrE3Llzefvtt+sdc/z4cW655RamT5/OLbfc0rDtp0yjCWd8c1XDvkOsWLECgD/84Q/MmjWL1157DYAf/ehH/OxnPwuU6j/xxBNRMLOdIAT6hHMw3lkSWGV88gXiB99p+9M+MUJWV4dGPNJT66netkWk349w2KDmdyjSUpHHS5p9vDYqP+AYgdUmxHbRt6JtZsxRideK06EPHYCx9L+BZXNzIdr5o8IbS2gMzopPRFJKidvtJjU1tVVyAp1OJ5deeikTJ05kypQprFu3LnD+WoqLi/nxj3/MOeecw9y5cxsfLHgazW4DPb7teiJ+2qanp/Pyyy+Tn5/PxRdfzJw5c0L0iy666KJIT9GuEN07hzb1PF6C+c22Jo5QNIW5YQcECbfpo4e2jx5Z3ipEZjpCq7lBupygac1ur6F174zoXneDNzcXJqUAniwuDbn+KvFacSqiZ1cI0suJZDqtrbJ48WLuuOOOBrc5nU6GDbP0zrzeut9aaWkpN954I4MGDeLxxx8PVLLt2rWLioqKwH7Sb4RUC+NyxuATtIxmR4y+/PLLJrffeuutPPTQQ4FptVoOHToUvnXtFP38szEL94GvRl/jv+vQBvazyq4VzUb6Dav9Ry2pLrThZzR+QFtCypDvi9A1q8WG2wPNFN/UR+Xj//un1oLfwFy/HX3smbGwNmYEN44FpXitqI/QBPqQvIBkirlzP9LrQyTAAzpR8Pv9rF27Fq/Xi8sVev+QUlJYWEjPnj0D1Wbl5eXceOON9O/fnyeffDKkvP+RRx5h9uzZjB071lpx6jRaSvz/7s12jK6//vrThueklLz66quBaTVFeIjUFPRxIzH+XeOMVlVjfPY1tkvOi69hSYa5cUeIeKYVLWr7+SXSNEETcMoNRstMwyxrfnNYkdcbOqRDqfV2Z6zbijYquSJuwdNoaJrVI0uhOAVtaJ1jhGFgbt+LfubA+BqVYBw7doy77rqLe++9l9xcS8LjyJEjLFy4kMLCQp599lkAKisrufnmm9m1axfjx4/nhRdeCBnn1LxjGTyNpgmrIq2ZhSKxokVPidtvv71Fg0sp6/1RFM1DGzEIc+NO5PGTgBXeNYcPRFM39mYhDQPjq411K1KcaO3lRuergrRUxKnz9C4nIJBSNisHQWg1go+1Drrbi7ltN/rQAdG3OUbIA3URI9FNJV4rGkY7oy/YdKsBNtb9VjlGdUyaNIn58+ezcuVKbr31VioqKqiqqsLpdDJy5EjeeOONQKuQzz//nIKCAgAWLVrU5LjSNMEX5BglSJSuRXeJcMrvn3/++RYfo6h5KE0cg//dUxKxv3+ZSsRuBubmQiiv09bQz85H2BNXlTuq+A20Dun1VguH3ZpGa4YKdi3a0AEYn38TqOoz125Gy89LCsFHKSXmfpV4rTg9wulAG9AXc+suwGoPYjNlXY5eOycrK4sZM2YwY8aM0+47efJktm1rZl6sryqkWWwiTKNBC5Kv//znP4d1gua0DVE0jNara4jejiwqtpKJFU0iDRNjTVC0yOlAGzEofga1IrK2A30jb14iMz1E6PJ0CIc9JC9LnihB7jsckY2thTxZFpp43VvlFykaRxsaVK1a4UbuT47veTITMo0GCRMxarZjNGpUeOWLCxcuDOs4hYV+/tnWnGsNxqqCpKwOak3MrbuhrK7qQT9rSFz77rQqNWrXjfWsE6kuZPNEsAPoIwdbc/81JIvgY/3EaxUxUjSOfoqMh6Gq02KKlDI08drpSJjZkJhbodqCRIZIT0X/VpBSqK8K47Ov42dQgiNNE+PLDXUrHHa0swbHz6DWproakVF/Gi2A04Fw2JAtEKATGWloA+s6Ycu9hzBrct8SmdDEaxEiP6BQnIromInoUadcbUbQHkTRDKr9ECQfkijTaBCBwCPA5s2bee655/j6668pKwu/D4uiabSRgzE37bSaYQLmxp1WIna3TvE1LAExt++Fk3XfRW3k4HZVdiulRGtC1kFoApGZbk0ztaBCTxs1JJB/AWB+vQXt2+dGZGusCUm87tqp0SiaQlGLlp+HccjqdyYPFSW14nvCk6DTaBBBxGjz5s18//vfZ/369ZxxxhlIKRk9ejSjR49m+PDhpKRYN+faTHVF+AjdSsQOxljxRV0+iQKoSbZdExQtstvQzx4SP4NaGek3LDmC00wbirSU0L5EzUDrkhOSo2Nu3YUMkkJINJTitSIc6k2nbVFRo1gR0gbEpidUxWjYljz//PNMmjSJp556Cl3XGTJkCK+//npge2lpKXfffbdSvo4SWu9uaAP7YW7fA4A8egJz4w704aqktBa5c18gqgagnTkQ0UwxwzaBrwqRlXH6SpoUJ2gCaZotmtPXz87HX5u3Y5gY32zFdu5ZERgcQ06WhWhYKcVrRXMQfbpbQqgVVkWruakQEvU7nsRIwwgtAkmw+3TYEaOvv/6aO+64A72RniYdOnTgwQcf5J133gnbOEUo+gWjQpqAGp8V1Gu+116RUtYJtAHoOvqoofEzKB4YJiI99bS7CV2HtNSQxrrNQeT2hKBpBfOb7cg4C7E1Rkh+EaD1VhEjxemxVLDrKoHNHXuRLfydKJrBKdNoiZbuELZjVFlZSY8ePQLLDoeDysrKkH26devG7t27w7dOEYLISAttyeD1YawqiJ9BCYTcfRB5rC4hWBt+RrtqoRJQu27mDUbrkB4Qs2suQgj0s/PrVnh9CdtXygzKL0KIkKRahaIpQppM+w3MnfviZ0wbJeSFXhPgTKz8v7Ado27durF///7Acvfu3fnqq69C9lm1alVIp11F5GhnDwl9a1+/HfPoiThaFH/qR4s09NHtLFpUVQ3pqc1v11HjQLU0T03L7x/ifBkFWxIy100GCTuKrjkq8VrRbLRB/UCvezSam3bGz5g2iDQleIOicC5nwgnGhu0YDRs2jMcee4zjx48DMGbMGB588EH+/Oc/s3LlSl566SUefPDBQNddRXQQuo7t1ETsT9p3Irbcdxh55HhgWcsfgMhIa+KINki1Hy2z+Z/ZUsF2trgnkbDZQsUyT5Yhdx1o0RixRkqJeTDIMVLCjooWIFxOtLw+gWVjc2G7vr9GHV8VwWJqiTaNBhE4RpdddhkFBQX87//+LwA333wzHo+H+fPnc8stt/DUU0/h8Xi48847o2Wrogatbw/EgLofrjx8PGGnNGKNlBJjdVC0SBPo57QvZ1xKaanqt/AGIzLSoarl+RP6iEEhb9TG1wkm+FhSHkieBVWRpmg5IdNpZZXIg0cb31nRIurlxSagYxR2VdrkyZMDjeIAevfuzTvvvMOf/vQnDh06RPfu3bnuuuvIz89vYhRFuNguHE31noOBPBFj5ddoeX0Qrnai8FyDPHAUWaM7AqAN6Y9ooE9Ym6baj3A6WqzuLdJSMIskLQ1ii7QUtMH9A1MM8sBRzKMn0LrmtHCk2FAv8VpVpClaiDY0Dz6oa2dlbipU36MoIKUMadOD047QE0PtOpioCgfk5eXxi1/8IppDKhpBZKajjxmO8d911gqPF+PzdfWm2do6IblFQqCPGR4/Y+JFVRWic3bLj3M6EDZbjf5RM3OTatDOzg/JvTC/3ow25fyW2xAD6ideK8VrRcvQcrIQXXOQNfmbxuZCbJecF2er4ovX6+Wtt95i8eLFFBUVIaXE5XKRm5vL6NGjmTJlCn379g055ujRozz00EP85z//Yfny5fTs0jVU7drVcJn+7Dt+yr9WrOCJJ57gyiuvjOnnaoiouWrHjx9n69at0RpO0Qy0UUMhKyOwbH6zDfNY4rdqiBbmoaKQfljaoH6IrPanUitNwqrAq1XBbmnZPoDWKQvRt64q1dy+B1le2cQRrUdI4nWX7PbTJ08RVYKn0+T+I8ig/ovtDb/fz8yZM3nllVd44IEHWLlyJatWreLNN9+kS5cuPPvssyxZsiTkmA8//JBp06aF+gWnTqM10Abkn//8J/9asSIWH6PZROQYeb1efvOb33DhhRdy/vnnBzy7zz77jJkzZ7J9+/aoGKloGGHTsU0IihBJ2a4UsUOiRdAuo0WBaE+YD3+RnhryBtcS9FFB0+SmxFgX/xcjS/E6qBWISrxWhIk+dEDIcntuKrtixQoKCgqYPXs2o0ePDlSRdenShfnz53PGGWeE7P/pp5/y0ksv8dJLL3HeeXWRNukJVbvmlEj1yZMnmT9/PpdNmRK7D9MMwnaMKioquPbaa1m0aBFHjx4lMzMz8EAeMGAALpeL66+/nr1794Zt3FdffcX111/PuHHjOO+88/jZz37GkSNHTn9gA2zcuJH8/HwmTZoUtj2JiJbbE9G/V2BZHiqyusu3ccwjx5F7DgWWtTP6InKy4mdQvPBVQWZa+F2pXXUq2C1F9OmO6JQVWDY3bEcGq9nGg9IKlXitiAqibw9IrZvqaa8FLkBAjzAnp34eoaZpzJo1i4ED67owDBs2jPfee4+hQ+tkU6RphqpdN1Cm/9hjjzF+/HjGnxvfacuwHaNFixZRVFTEY489RkFBAV988UVgW7du3Vi0aBGXXnopixYtCmv81atX86Mf/YizzjqLlStX8s9//pPS0lKuvvpqjh071qKxqqureeCBBzCMlgnaJQu2CedAkAK58Z+1bV6t9dRokRYsfNmeME20ZqhdN4aw6VYLhDAcGiEEWrDgo6867povIflFqMRrRfgIXUMbHKSCvX0v0p+YSu+xpnNnK0/v/fffx2zgJWr69OlMmDAhsJyTk4PDcUoU+5RnkjhlGu3f//43n3/+OXPmzImO0REQdvL1smXL+NWvfsX48eMb3efmm29m5syZLR7b7/czd+5c+vTpw5133ommaWRmZvLYY48xceJEnnnmGZ544olmj/fiiy+SmppK9+7dW2xLMiA6ZKCfMwxj9TfWCrcHY/V6bBe2zQa+5rHiEO0ckdcbrXPHOFoUH6RpghANztO3BC0zDbO8MqyyWW1QLsZnBeC2+pIZX29BGzEo/AhWhJj7gxOvQfRUiteK8NGH5mHWylFUVWMWHqCpMk5DSnaUlOKNx0u4tNJbXG5viI0uXeeMrA7oEYgoTpgwgfT0dJYuXcr06dO57rrrmDx5coMRpEbxVkFtAE6IkOn/iooKHnnkER566CGysrLCtjNahO0YHT58mLFjxza5T05ODkVFRU3u0xBffPEF+/bt4yc/+Qla0A22a9eujBw5kn/84x889NBDpKWdXtBu586d/PGPf+Sdd97h5ptvbrEtyYJ2zlBrDrwmQdAs2II5dABa0FRHW8H8YkPIst5eo0VV1ZDqQtgiLC51OS0dJClbrEArbDr6yEF11ZFlFcjC/Ygz+jZ5XKwI1psRXXJU4rUiIrTBuVbLCtNKE5Fbd8GQXg3uW22a/M8nq9h8sqQVLWwe+R2z+P3E87CH+cKSnZ3NwoULuf/++9m6dSsPP/wwjz76KCNGjODyyy9n+vTpp+9y4Wtc7fpXv/oVw4YNY8qUKQmRIxv2a116ejr79jXdQ2b79u1kZra8SmjNmjUADBo0qN62wYMH4/P5+Oabb047jmmaPPDAA9x0003k5eWddv9kRths1pRaLVJi/HtNQnzJook8UYK5oy5vTfTrmTD6Oa1OdXVUNJsCGkhhNoTVzhwYkkRprI2f4KMZXJGm8osUESJSXGi5dY6Q0UT+5qFKd0I6RQCbT5ZwqNJ9+h2bYNy4cSxbtoxnnnmGiy++GJfLRUFBAfPmzeOyyy47fbFVsNp1UJR79erVfPzxxzzyyCMR2RdNwnaMxo4dy5w5c0L6pQVTXl7O448/zrnnntvisWsTvbp0qR8Gr123Z8+e047z6quv4vP52nSkKBjRv5fVAb0Guf8I5vY98TMoBhhrTo0Wtb9KNKhVuxaIlIZ1QFqK6BCeCjbUPDyCS5sPH8M81LI8wGggS8shSDJA5RcpooEWXJ12sgzZyDRZj7RU8jtmtY5RLSS/YxY90iLvW+pwOJg6dSoLFy5k9erVLFiwgKFDh3L48GHmzp3b/IFqhIg9Hg9z587lvvvua/B5Hy/CjsHPnj2bq666iksvvZQxY8YwePBgABYsWMDBgwdZsWIFUkqefPLJFo9dUWFNB7kaEH+qXVdeXt7kGPv27eO5557jtddewxbpVMMpGIYR9URuwzQCY0eCdsFojH2HAyXYxn/WQt8ebaKJpjxZhrltT2BZ9OoG3To1mAwYKbXXIVET9mVVNdh1DF1DRMFG6XIgDQMR5t9SjBwM6+veGI21m6DbBRHbFRivGdfD3Hc4ZFn26Jyw168tkOi/kagxuB8sDlqu8lsvJqdE421C8OLE89hZUhaXHCMpJT6fD6czdJrKpesMyMpEFyKqMwgOh4NLLrmECRMmMGXKFNatW0dlZWW9KbV653TYQdOQUrJp0yaOHz/Os88+y7PPPhvYxeu11LEfe+wxnn76adLT0/n4448btaX2ejT1XWzJ9zRsjyEvL4/f//73/OxnP+Pzzz/n888/B6xqNSkl3bp14+mnn6Zfv37hniJspJQ8+OCDXHfddTFpYhsLfSab24sTKycqUrL7dqXjrpqHRIWb4x9/SvGg3hGPG286b9hNZtCP7ED3Dni3bYvpOaNxPWKB7quiKj2V6rIT0RnQlKQeKca06xBmHkK3LlmkFZVYw+3cx56C9fhTo9MHSRgmAtiwYUOj+3Rev4vad04JbDxxBLPseKP7K6JDU9ekrTAgIwVnuVVgIKuq8Hg8IfmvwfR22oE4vYg2IvTq83giGvajjz7i008/bTTQkZ+fz6FDhzh5sr7AsHHKFH21ruF3W9N6Q4YM4bPPPqt3zP998AGPzJvHPffcw3e/+10A3O7GpwJN06S6ujpq38WIQiljxoxh+fLlLF++nPXr11NRUUFGRgYjRoxg4sSJ9cv1mkl6upU3Ues1BlO7LiMjo962Wt5++22KiooCDW6jzcCBA0+faNZC/MUl7P7vlwwYMABdb1l7hlOR/fMwXv+/wLRCx71FdBp/DiK7QzRMjQuyrAJj6Vd1K3p0ps+40S1OFm4uhmGwc+fOqFyPWCDLKhH9eiBSozOVBmAeOQZl7rDHlOlZGH9dBlhFMf3KqtDPik5ivN9Xxe4dOxg+fHij18P/9W5q3WbRuSNnntM2qzITBcMw2LBhQ5PXpK1g7C/B/M9aAIRpkuJwoidYFF5KicfjISUlJer3RU3TWLduHZqm1ZvJkVKyZ88eevToQc+ePesde+o3w5GZjsPehOshJXa79bd1OBzNetYahoHdbmfIkCGNfhfdbnezgxoRzzE5HA6mTJnClCgqVebm5gI0WNFWu66pSNTy5cs5efJkPTHH4uJigIAS5x133MHVV1/dYvt0XY/6jUBqemDsxt5Emo3TgbhwNP6/f2otmybmp19hu3JyzByJWOP/anOgMgTA9q0RaK1wM47K9Ygy0m8gHHa0tJSolsVrmRmYpZVhjyl7dcPskoMssqJYctNOxLiRUWlsXPt7a+q3Vx1Ukab17tbmH9aJQizuhwnH0AEBxwgJVFUnbMWjECLq93khBMeOHePuu+/m3nvvJTc3FyEER44cYeHChRQWFvLss882fN5gZX1dA7utSfusu7xo0Wep3a+p72JLvqNRSb4pLi5m27ZtVFRUkJ6ezuDBg+nYMXxdmTFjxrBo0SK2bdvGZZddFrJt27ZtOJ1ORowY0ejxf/jDHxpcX+sorYhzH5bWQAzog+jTHVmTdyH3HUbu3Be3MupIkOWVmJvrprREt06IPm1Tk6pZVFVBRnr0tYJSnCAsFexwxhZCoI3Kx/jnSmtFtR9z43b00dGfzj4VWVYBZSrxWhEbtP69LJ2vaksIVXq8kHF6uZi2wqRJk5g/fz4rV67k1ltvpaKigqqqKpxOJyNHjuSNN95g9OjQCO3kyZPxuD2Ul5cBMOP2/0HXdW7/3//luuuua/A8v/vd73jjjTfq5Rj98Ic/5NZbb43thwwiIsdo//79gT9WcIKVpmlceOGFzJkzh969W57bMnbsWPr06cPSpUu54447Am/sR48epaCggCuuuCJEw6ioqIjs7OyoJ1knM0IIbBPHUP36/0FNQq3/0y+x9+uJaCqMmYAYX20KeevQx56ZtJGvqGAYaBnRncoFS/KBVJeljxSG2CNYrVmMlWsDbTmMgq1oZ+Uj9NhG3UKEHVGtQBTRReg62uBczA01UzG+KmQYul/JSlZWFjNmzGDGjBnNPuZf//oXstKDLC4NrBOdOtZTvA7m1ltv5Sc/+YklHXKayFIsCftutXv3bq6++mo+/fRTUlNTGTJkCGeffTZDhgzB5XKxYsUKrr322rB6pdlsNubNm8e+fftYsGABhmFQXl7Ogw8+SKdOnbjrrrsC+3700Uecf/75zJ49O9yP0mYR2R3Qzh5St6LcXa/cPdGRlR7MDTsCy6JLdogkQXvD6mkWudp1Y4gO6WHrGYHVRkE/K+g7V+HG3LEncsNOgzxwNGRZaRgpoo0eJEmBlPVaXCjqI71BTWNPUbtOZMIOHfz617/G4XCwaNEiLrjggpA8DNM0+fe//83Pf/5zfv3rX7Nw4cIWjz9u3DheffVVFixYwPjx4xFC8K1vfYu33347RO+gY8eOpKenN9ruo6qqiokTJwL1c4w++eSTsBPEkwV97JlWU9maN3hz7SZkfh6iY8uFN+OBsXYTBJVZ6mOGt5u3tAap8kNaSuRq140gUlyYEJYKdi3asDOs9jQ1Dpa5djPaoNyYXjczyDESnTsiwox4KRSNoQ3pbz3ca5Aen/qeNYGUEoIdI5cDoSXHvTvsu+sXX3zBokWLOOecc+pt0zSNSZMmkZ6ezm233Ra2caNHj+b1119vcp9x48axdu3aRrc7HA5WrVoVtg3JjnDY0S8YhfFRTd6HYeL/95fYpk1KeAdDur2Y39RVEYicLMSAPnG0KAGorg7paB91HHZL86rab+mNhIFwOdCGnYFZsAUAWVSMPHjU0p2KEcHNY2N5HkX7RaSlIPr2qFvh8SGz2s90WovxVYcUzCSTExn2VJppmowcObLJfc4666yYiO8pWoY2sB+id93DQu45GNKENVExCrZAUDdrbWw7jxZhVWw0NUcfKUKIGhXs6ojG0c8aHPJ2Hcs2IbK8EkorAstabzWNpogN2uD+dQuGAf42Lm4ZASHTaBCz6f9YELZjNGjQoNPmD+3Zs4czzwzVMfnggw/CPaUiTIQQ6BPGWM0Qa/D/+0ukP/xcklgjvT7MdVvrVnTMREvCirpoIqurrWhOjOfpRVoqyMheaESHDLSg6J7cdQB5sixS0xrk1MRr0VM5RorYoA3JDV3hqa+1p6gh+G/jsCOSSNIhbMfo1ltvZe7cuY32Stu/fz+PPfYYP/vZz0LWz5kzJ9xTKiJA65SFNjIoKbasAvPLTfEz6DSYBVtDohb6mOHRL09PNnxW09iYR81cDtBtjfaEai7aqPyQZePr2ESNTk28VqX6ilghumRbWjw11IuKKACQ1f6QaFoyTaNBBDlGH3/8McXFxVx66aUMHTqU7t27k5qaitvt5vDhw2zatInhw4fzl7/8JZr2KiJA/1ZNIrbbkoc3vtyIlt8f0aFxFfF4IH1V1jRaLZnpaINzGz+gvWBKRGrDkv/RRGiapdFSXgERnE/r3hnRvTPysNVQ1txciDx3ZNQa39YSkl/UKSumU42K9o0QAuxBuXe+aqRhxlyOIulI4mk0iMAxev/99wP/vX79etavX19vn3Xr1rFu3bqQde09RySeCKfDSsT+uKY3jWHg//eX2K+Y1PSBrYz5zbaQUlh9zLB2Hy2ShmG9qbbSm5eWkYpZUnr6HU+DPiq/ToHdb2Cu344+NjptQmoJqUhT0SJFrDlVB87ra7RHWXtFeoIcoxq162QiImuXL1/eov2llFx88cWRnFIRIbUiZfKg1VpF7jqAufsAWm6vOFtmIaurQ6dcMlLRgvVD2iu+ashIbb030xQnICIWsRN5vSEzHcqs5Ghj3Va0UUMRtujkG8jySigpDywrYUdFrBE2PbRs3+tDKMcogDTNUI0nlzPpAiJhO0aNNYw7HY3pDSlaByEE+sSx+P/8d0ukDCsR2967e9QeVpFgrt8OQW8b+uhhSZW0FzP8BlpmequdTths1luwr9rKOQp3HE1DP3sIxr+/tFa4vZjbdqMPHRAVO81ThR17q4iRIsbUChX6anIgvb52pYJ9WryhwpfJOLUd9utnuP3G2kOfskRH69wRbcSguhUl5Zhr45+ILf1+q/1HLWkpaMPOiJ9BCYKU0roZt3ICo8hMB39kZfsA2tAB4KzLyzDXbg5pIRQJ9ROvVcRIEXtCHvamUsEORgZXowmSRu06mKjH5ffv389rr73GO++8Q1lZbMpzFZGjjxtp9cWqwVizwWrEGUfMDTvAXfej0kdHb8olqamqhlRnq/e4EylOouG/CIcdbfjAwLI8URJobhwpIYnXOVlRT+xWKBrklIe9qk6zqKd27XQmZX5o2Hfar776iv/3//4fAG+88Qbdu3dn/fr13HDDDfh8VmjxhRde4N1336Vz585RM1gRHYTLgT7+bIyl/7VW+A38n36F/fIJcbFH+o3QaFGKK+Rh2q6pqkZkd2j98zodCIfd0k+yh6eCXYs+cjDm15sDSrjG2s1owSrCYRKSeK2EHRWthNB1Sxm+VlLE44OsuJoUc7xeL2+99RaLFy+mqKgIKSUul4vc3FxGjx7NlClT6NOte4ja9ddbN/PS3NfZunUrlZWVZGRkMHz4cGbPns0ZZyTubEDYrtzixYtxuVzMnz+frl2tG9Ljjz+O1+vle9/7Hvfffz+apvHSSy9FzVhFdNHy8xDd65xWuXMf5t5DcbHF3FwY6OcGVjVTa0dIEhWJRKS2fiQkoILti3w6TWSkoQ3sF1iWew9hHj8Z0Ziywg1BopFKv0jRmoRMp/kNS7unjeL3+5k5cyavvPIKDzzwACtXrmTVqlW8+eabdOnShWeffZYlS5aEVKO9+9Hf+d/77uGaa67hk08+Yc2aNdx6660sWbKE7du3N3G2+BO2Y1RQUMDjjz/OuHHj0DSNwsJC1q1bx/nnn8/8+fOZOXMmv/zlL/n000+jaa8iiliJ2GNC1vk/WROxsF9LkYaJ8eXGuhUuR2gOVDtGVvutaE2c5ulFakrIG2AknCr4aH69pZE9m0e9xGuVX6RoTU7N+WvD02krVqygoKCA2bNnM3r06ECieZcuXZg/f35d9Kfmb7Br315+8dtnefTRR5k4caL1kiUEM2bM4PLLL6dDhzhEwFtA2I7RgQMHGDKkTkl56dKlCCG45pprAuvOPPNMjh492tDhigRB65qDdmbQlNXJsogfWC3F3LorUM4NoJ+Vb7W+UICvqnXUrhvD5QRdi4qzrHXJCakaM7fuQlZ6wh5PHghtBaKpViCK1sRuC1XB9rRdx2j37t0A5OTk1NumaRqzZs3ijLw8q/k08Md33yYtLa1BeZ5f//rXjB8/PrYGR0jYjlF6ejonTpwILC9evJi0tDQuuOCCwDqfz0dKitJ3SHT0884Kefsxvlhv6cO0AtI0MdZsqFvhsKONHNwq504KTGn1LosTQtcgIzUq02kA+tlBUSPDxPhmW9hjmfuD8ouyOygtGUWrIk6tFPVVWRo+bZDaPOH333+/wcbw06dPZ8KYbwWWV/z3M/Lz89GSMPEaIki+HjZsGE8//TQ/+clP+Oc//8mePXuYMWMGDkddyP/TTz+lR4/IEywVsUW4nOjjz8L412prRbUf4z9rsU29oOkDo4C5fU+oQN9ZgxER6Oa0JaRhtqradWNoGWmYJdGpWBS5PaFjZiA3yPxmG/KcYWHlk4VUpCn9IkUcECnOkKin4fFS6BN4jehMP7cEKSU+rxdnZWiHCZcuGJDlQtfCjzpPmDCB9PR0li5dyvTp07nuuuuYPHlySASptjLvyLEiTpaW0qVrV/75z3/y2muvsXfvXlwuF2PGjOH222+nd+/e4X/QViBsx+gnP/kJP/jBD/jHP/6BlJL09HRuueUWAA4ePMibb77Jn//8Z2688caoGauIHdqwMzA37EAetaKA5vY9mGcORIvhA0dKiflFULTIbkM/a0jjB7Q3qqogvRXVrhsjxQUichVsqMlrOzsfY3mNE+71YW7ZhX5myyoQZaXnlMRrNY2miANOh6XVI6HalNz26SG2lEUnuhpN8rNd/O6iftj18H6/2dnZLFy4kPvvv5+tW7fy8MMP8+ijjzJixAguv/xypl1xBSk1wo4nTlpFFZ9++inr16/n6aefZtCgQWzatImf/exnXHXVVbzzzjv07ds3ap8v2oR9xx0xYgRvv/02N9xwAz/+8Y95++236dXLaitRWlrKiRMnuPTSS5k2bVq0bFXEECEE+qSxIeuMFV9YUYsYIXfsQxbX9ePSRgxSOjTB+P1omWnxtsKK5qQ660qTI0TL7x86dft1ywUf6ydeq4iRovURmgZO67t82GsmpFMEsLnYy6HKyEQox40bx7Jly3jmmWe4+OKLcblcFBQUMG/ePKZOncr23bsA8PqsyNHJkyeZN28e+fn56LrOmWeeycMPP0xJSQlPP/10xJ8plkRUDz106FCGDh1ab31+fj5PPPFEo8d9+eWXnHPOOZGcWhEDtG6d0IYNwNy4EwBZXIq5biv6KdVE0UBKibEmqPGwTY/JeZIVy1FofbXrxhCZ6cgjx6NSHSdsNrQRgzC/qLn+J8uQuw8i+je/X1+9xGsVMVLECZHiRHp9dHdpDEnX2VLRulW9zSE/20WPtMh/uw6Hg6lTpzJ16lR8Ph+ffPIJL774Ips2beLhZ37NW8/9DpfLerm12+2MHj065PjzzjsPm83GypUrI7YllsRFKOaGG25gy5bWrXxSNA99/NmYO/YFJO6N1d+gDeqHSI9uArDcdQB5rE7HRhs+0CoNV1hUVUOKK2Gq80SqCxNJtGrj9BGDML/aCDURSWPtJrQWOEYhwo4q8VoRT2peXuyaYNGZGeyUDqricC8L5Bi5XFHPMWoIp9PJpZdeyoQJE5jy7Uv4Zstm3B4PPfpY+UNZWVn1pt41TaNjx44cO3YMj8eTsMVZcXGMotUnSRF9RIoL/byzMFZ8Ya2oqsZY+TW2KdErr5RSYnwRFC3SNfTR9SOP7ZqqakTXBNL6cDoQdnuNrlLktw2RloI2uD/mppro5IGjmEdPoHWtXw7cEHJ/UOK1ihYp4oiw6Ui7Dar96EIwyCHROrd+JamUErcbUlNToy7vsXjxYpYvX86CBQvqbXMKjeGDBnHo6BG8Ph85/XrTr18/Dh48iGmaIZVppmlSUlJCampqwjpFEINeac1BdSFObLThZyC6ZAeWza276uV0RILceyiQ5A1Wk9FoR6SSHSlBpCVOvlWdCnb0mmVqZ58q+Li5WcfJSk9obprKL1LEm2AV7Go/0t+2VLD9fj9r167F6/XW22Z6vOzcu5ceXbuRnZUFKU6+973vUV1dzerVq0P2XbNmDdXV1UycOLGVLA+P5BQZUMQUoWnoE09JxP5kTVQ0OqSUGKuDokWaQD9nWMTjtiWk349w2MCRWLIFIi2VqHSVrUHrlIUI6pdmbt/TLP0s86BSvFYkFiHtQcDqndbGOHbsGHfddRe7du0KzPocOXKEh+fNY9e+vdx7y0/AbkPYbNxwww0MHTqUX/ziF+zcaUWFCwsLmTdvHp07d+aee+6J50c5LaoZlaJBtB6d0fLzrB5mgDx+EvObbRGX08v9R5CHj9WdJz8PkZke0ZhtDl81omMmIso5ARHjcoKmIQ0zahIC+qh8/LX9+UyJsW4rtvNHNXmM3B/qGKnEa0XcsdstzbGanDnp9SEy4l9RGi0mTZrE/PnzWblyJbfeeisVFRVUVVXhdDoZMWgwrz/zW0YNPzOQb+VyuXjttdd47rnnmDVrFpWVlaSkpDBhwgRmz54d6K+aqCjHSNEo+vizMQv3BVSPjc/XoQ3sF1Gia0hukRDo5wyP1My2h2kmZDKx0DVITwW3x9I2isaYfbojOmUhj5cAYG7Yjhx7ZpNJ58HCjnTMVNOwirgjhEC6nFAr9ui1VLBFkio/n0pWVhYzZsxgxowZIetlhRsZpCcWHDlLT09nzpw5zJkzp9XsjBZt46opYoJIS0EfN7Juha8aY9XXYY9nHjyKDMpV0gbnIrIyIrCw7SFNEzQRmrOQQGiZaRDF/AkhRGiuka86kJDdGCHfIRUtUiQI9abTvNHLx0tUQvrDaQISpIo2UpRjpGgSbcQgRKeOgWVzUyHmoWNNHNE4RrDKNaCPUdGieviqIC0VoevxtqRhXE5ARLWyVBuUC0HlzcbXWxrNZ5NuL/JESd2xKvFakSjUqmDXUNsio60iTRN8QZ/R5WwzhVVxcYxUuX7yYCVijwlZZ3zyRYsTsc0jx5G1uSRgTcllJ1A5eqLgN9A6JG7OlXDYrWm0KKlgg1XurI8cVLeirAJZuL/BfeWhotBjVcRIkSBYKthBBRMeX9t+1vmqIOjj1YuYJTFxcYyU6nVyofXqijY4N7Asi4oxN+xo0RghuUWANlZFi04lcBNNELXrxhCZ6VF1jAC0MweCrS5KZqxtuHRfniIbEctefgpFSwlpaWSaUf+dJBLy1Mq7BL9vtYSwHaNIEqpef/31sI9VxAf9/FEh88fGqgKkp76mRUOYRcXIXQcCy2JAH7Sg6TlFDVXVkOJMGLXrxhCprmhW7VtjprjQ8vMCy/LwsQanbEMco6wMlXitSCxOcQ7a6nSalBKCP5vT0WYSzSECx+iDDz6IohmKREekp6J/a0TdCl8VxmcFzTr21GiRyi1qhOpqREbiTqMFcDoQDlvURez0UwQfjQYEH+XB4MRrFS1SJBbCpkOwMnwb1DMCoNofkCaAtjWNBhGU60spueiii067n91up1u3bkycOJHvf//7OBJMtE7RfLSRgzE37gioDpsbd2AOPwOtW6dGjzGPlyB37gssi9yezW770N6QUqIlYJn+qQhNWE1lT5aBLXqKH6JjJqJ/r0B0Ue7chywtR3SwKheF34Casn5QFWmKBCXFaTkOUKOCbVgOU1uiDU+jQQQRox49elBRUcHBgwc5ePAgFRUVSClD1vl8PjweD1999RVPPPEEP/jBD/B4PNG0X9GKCF1Dn3SKIvaKL5pMMDTXnBItGntmTGxLdqybpy0q3etbA5GWYuVQRBl9VFDUSEqMgq2BRWeZO9QG5RgpEhBxqpPQBqfTQqYIbXpU+icmEmE7Rn/84x/p3Lkzv/jFL/j666/54osvWLFiBV988QVff/018+bNIzc3l/fff5/169fz+9//nmPHjvH73/8+mvYrWhmtdze0gf0Cy/LoCcyNDevOyJNlmNv3BpZFn+5o3TvH2sTkxFeFyExPPLXrxkhxgiai0iYmGNGzK6JLXUTR3LgDWaMH4ygPdYxU4rUiIXHYISjfprm5mMmCNIzQpPI2No0GEThGTz/9NPfddx8zZswgNTU0ATI1NZWrr76am266iSeffBJN07jwwguZO3cuS5YsidhoRXzRLxgVMo9ufPZ1g0mGxpoNIb21VLSoCQwzqRKJha5DWmpUm8pCjeDjqKC2M9V+zI3bAXAGO0Yd0ttUywVF20EIETq15KuK+gtEXDllGk24EqfZdbQI2zFas2YN48aNa3KfcePGsXLlysDyOeecw8GDB8M9pSJBEBlpoU6O14fx33Uh+8iScswtu+qO6dlV5YQ0QkDtOsnm6bUO6eA3oj/uGf2s1iM1GAVbkYaJs6xuGl4lXisSmZBkZEnUXyDiSchLsCbAmdhVtOEQtmPk9Xo5cuRIk/scOXKEysq6btm6ruN0JtfNX9Ew2tlDoGNmYNlcvx2z6ERg2fhy4ynRIlWJ1ihV1ZCemnwJmi4nkugLtgpdQz9rcN2KCjdySyH2oDdV5WQrEhpXaK5gPc2fJMUq0w9y8tqQ2nUwYTtGgwYN4pFHHqGioqLB7eXl5Tz66KMMHlx3g1uzZg1dunQJ95SKBELoOrZgRWwpMVasQUqJLKvA3FxYt2/3Tog+3eNgZZJQ7bd6kCUZwmG33oyro1u2D6ANGxgyXSs//yb03Cq/SJHA1FPB9ia/CrbX6+XVl17mqltv5oJrruT8GdO5eMaV3HTTTSxatIi9e/fWO+bo0aPcfPPNDBo0iAMHDjQwah1+v58//elPXHnllVxw0STGjh3LFVdcwRNPPBGrj9QoYaeS/+QnP+H2229nwoQJnHfeeeTm5pKamorb7WbXrl3897//xe12s2jRIgDeffddnn76aS655JKoGa+IL1rfHogBfQLl+PLwMczNu5BFx0MqlvSxZ7bJt4poIKW0VPWTbBqtFpGRjjx2IurNI4XLgTbsDMyCLdaKUxSEVcRIkeiIFCeydgrNMK0XiAQXb20Mv9/PzJkzOXzwIL+e8xCjhln39GN2WPDb3/Lss8+iaRq33HJL4JgPP/yQX/7yl9iaIelRVVXF//zP/yCE4Le//S29unaj1F3JnDlz+Mtf/hKRoHQ4hO0YTZo0iSeffJJ58+axZMmSkAeflJLMzEx+/etfc8EFFwCwf/9+Jk6cyIwZMyK3WpEw2C4cTfWeg4FcE2PlWqiqC7WKLjmIfj3jZV7iU+1HOB2IJCnTPxWR5sIsksTC7dXPGoy5biv1ZLYz0622JApFIpPihJLyumWPL2kdoxUrVlBQUMAv7rmf0cNrhH6ddrp2yWH+/PmsXx8qy/Lpp5/y0ksv8dJLL/H666/z/vvvNzn+Cy+8wI4dO1i6dCkpKSlQ7adDhw7MmTOH++67L1Yfq1EiEh/47ne/y6RJk1i+fDlbtmyhoqKCjIwM8vPzmTRpEmlpddMDd999d8TGKhIPkZmOPmZ4XfL1KaWp+tjhKlrUFFVViM7Z8bYifJxOhM0WExE70SEDbUAfzB2hIXqtt4oWKRIfYbMhbXrgpVF6vYgEbhDdFLt37wYgp0NdXmltNZqmacyaNYuOHevaPA0bNoz33nuvWYLOXq+X1157LVDhHjzl2KdPH956661ofYxmE7Zj9OWXX3LOOeeQnp7OFVdcwRVXXBFNuxRJhDZqKMamQigtD1kvOmUh8nrHyarkQJokhdp1YwRUsEvKwRb9z6GNyq/nGImeyjFSJAkpLiivKUCq8iMNw5K6SDI6d7b0595f8jEXjh2Hpmkh+kXTp08P2T8np/ndDT7//HMqKysZNmxYdIyNAmE7RjfccANbtmyJpi2KJEXYdGwTz8H/wYqQ9doYlVvUFIEoS5JOo9Ui0lORJ0pjMrbWvTOie2fk4bqGskrYUZGomKbk+HEzUI8gq+1wMsgRqvIiUmKj+yOlxOcDp9MIue/abdCpk4YWgXjshAkTSE9LY9ln/+F7t97M96dNZ/KV0+jUqfF2UM2l1o9IS0vjqaeeYunSpZSVldG1a1emTp3KjTfe2Kw8pWgSUa+0CRMmMG3aNK688kr69OkTTbsUSYaW2yukzxXZHdDOUN+JJvFVWUKFyd6V2lWngh2Lz6KPHor///5tLdh0tL49on4OhSJSDEPyzt+8HD16qpjjqcKtsVbCri8N0LWrxtVXutD18Jyjjh068Nyj85nzq8fZWriTR57+NT9/9mlGjBjB5ZdfzvTp0+sJPTeXEycsmZcHHniASy+9lLfeegunpvP+3/+Pxx9/nHXr1vH888+36kt2RHexxx9/nP379/Pd736XH/7wh7z//vuqF1o7xnbJeLTB/RG5PbFfMSn5H/ixxjTRkkjtujGETYe0lHqVY1EbP683YuxwvB3S0K++JKkUwhXth9Iy2YBTlBgcPWpSWhaBXIC3im+ddTZLXnuTpx58mIsnXYTL5aKgoIB58+Zx2WWXsX379vCG9lqOYmZmJg8//DAdO3YkNTWVH/zgB1x66aUsX76cf//73+HbHgZhP7mmT5/Oueeey9NPP83KlSu57LLL+Mtf/sJ5553HAw88wFdffRVNOxVJgHA5sE0Zj33aRYisjHibk9BI0wQh2kyfIa1Dekz0jKCmTcjoYRwePRDtrCGnP0ChiAMdMgVduybmy2DXrhodMsOPuNQKVDrsdqZOmsxzLzzP6tWrWbBgAUOHDuXw4cPMnTs3rLFTUqzcxLFjx1q5S0HUVrX/5z//Cdv2cAh7Ki1YdCkjI4Prrrvu/7d35+FR1ecewL+/2SeThTVUQgKILEqQcJ8IROQWENmjBAULD4iVsl3glihUFIKIoHDbYqNYthQsaNEiSxBcQLAYohDBwIVWwg6VCwSCxoTMPuf+MTMhk0lCZknOJPP9PE+ehzlnzpl3OJmTd37L+8O4ceNw5swZbNu2DbNnz4bBYMCoUaMwderUoARL1GhYrECEDqKe+87rjE7rnE0iSRxXRmFJqRR4+kmdxxgjAJAkB3Djpzsb9No6WefPOcbIDK1WG9QxRs5q1xW651zVrrVaLYYMGYL+/ftj6NChOHbsGMrKynzuUmvd2tk1XnFWm5t7EPetW7f8it1fQb8r22w2WCwWWK1WXLp0CX/605+YGBFVZrVBtPS+ETRUQquB0GkbdBE7okApFAKxsZVnnSnhUCsAs6urWWmCuCcq6F8gJElCWRkQEaEM7rnNFnz8xR7szz2INxe+6rkOHACtVovExERcuXIFJpPJ58SoR48eAICbN2967XMnRL7McguGgGalbdy4EQDw888/Y+fOndi2bRu+//57SJKEyMhIjBkzBqNGjQpasESNgbvataKOZqfIRcREQrpxi4kRUSVCr4PkTowaWBVsyWSGzWbD0X+egMlshr7yOnCShHPnziEuLg7Nmvleky0pKQn33nsvDh06BLvd7tGd9vXXXwMA+vfvH9ib8JHfiVFeXh5yc3Px0UcfYf/+/bC4qh336tULo0aNwqBBg6DTNa4bP1FQWG0QGnWDuTHWljDo4biOOqmCTdSg6bQAKtR5MzWMKtiSJDkrdgO4UVSEF15fjLkL5qN9+/YQQuDatWtYuXIlzp07hzfffNOv1xBC4LXXXsOvf/1rLFmyBC+88AK0CiU+3vUxdu3ahdTUVPTt2zeYb+uuAupK+81vfgNJkhAXF4e0tDSkpaUhLo7LPxDVyGKFaNm08Y3F0WogVMo6qYJN1JAJdaUq2EZzw1jWxmYHbHb0T+mDxc/PxcFj32H69OkoLS2FxWKBVqtFUlIS3nvvPSQnJ3scOnDgQBiNRpSUOBPCp556CkqlEjNmzMC4ceM8npucnIz3338fb731FgYMGACHw4G4uDi89NJLXs+tDwElRqmpqRg1ahR69+4drHiIGj/JARHRcKtdV0coFEC0Afi5tE6qYBM1aHotUFLm/LfF2jCqYLsGXTeJjsboYSMw5tcTna3dtfDFF1/49FIPPvggsrKynK1UVhugVsn25TGgxOh//ud/ghUHUViQ7HZAqQJ0DbvadXUUkRFw/Piz3GEQhRyh00JyJ0YAYLI463+FMKni2pdKhXOKWxjwu+jCqVOnavW8HTt2+PsSRI2P2QJEGRpv8Uu9FhDOKthEVIFW46xd5uKuDRSqJLvjzkw6ANDrGl/3fzXqPP176aWXMHLkSL+OPXLkCDIzM3H27FkoFAr07t0bc+fOxS9+cfe1ks6cOYMPPvgAOTk5KC4uht1uR+fOnTF+/HgMHTrUr3iIAma3QxHVeCs3C5UKiNA56zTpGkfxSqJgEEJA0mkBdyuMyQwplOt+mT0TNxFGn+eAEqPbt29jy5Yt+O6771BcXOzsGwySQ4cOYdKkSZg0aRI2bNiAsrIyPP/88xgzZgy2bt1avtpvVYqKijBixAh07doVq1atQocOHVBSUoI33ngDs2fPxvnz5zFjxoygxUpUG85WlMZT7bo6IiYS0v/dYGJEVInQa+90T0mSswU5RD8nHi1aQjT4xa594XdidOvWLYwdOxaXLl0C4MqGq0iM/MmGbTYbMjIykJCQgNmzZ0OhUCA6OhpLly5F//79sWLFCo/K25U5XM34r7/+Ojp06ADAWZ371Vdfxddff41Vq1Zh7NixftVcIPKbxQYY9I2n2nU1hF4HB8Aq2ESVVUqCJKM5JFtivKtdayD8rJzdEPk90CEzMxN6vR7Z2dn417/+BUmScOrUKZw6dQrHjx/HX/7yF8THx2P9+vU+n/vw4cO4fPkyBg0a5FHsqVWrVkhKSsLu3btx+/btao+PiIjAzJkz0aVLF4/tarUaiYmJsFqt+Ne//uVzXEQBsVkbxhTdQGnUzpkrdbR2GlFDJZQKz/pFru60kGO2Ao47cYVi8laX/E6McnJy8Morr6Bz585QKBQe3wy1Wi369OmDpUuXYs2aNT6fOy8vDwDQuXNnr31dunSB2WzG8ePHqz3eYDBg1qxZVe6z2Zw365iYGJ/jIgqEJMGrnH5jJISAiIl0jjMiIg8e9wBXnaBQI5kqDQwPg/tWRX636RcWFuKBBx4of6xQKGC1WqFW38mGH3zwQZw8edLnc1+4cAEAEBsb67XPve3ixYt4+OGHfTqv3W7HyZMnER8fj65du/ocV8Xz2O3B/WW2O+zl5yb5ua9DsK6HZLUBSiXsKiVEGFxjSad1FnoM0uy0YF8PClw4XhO73e5c0sf14xedFiguLX8oGU2AKvBFZd3xBKUFquI0fY0KUCjqr2XLtRg1XEsn1e4Q5/Wo6XfRl99TvxOj5s2b4+effy4fBN2qVSucPXsW999/f/lzTp8+7dd/Zmmp85emqiVF3Nvc1TR98dlnn+HGjRt46623PLrofHX69Gm/j62OqswELYCzZ88G/dzkv2BdD6XJAkuUHtbSoqCcL+Q5JBiu3YJdrQSCUJpA2B0QAE6cOBF4bBRU4XZNVCoVjEZjQH9DdAoB4eqqctw2wqwM3vgdo9EY0PHC4YCuQiuWVamArayshiOCT2Gzw2GrffFLh8MBq9UatN9FvxOj++67D+vXr8eLL74IwNnt9eqrr+K1115D27ZtcerUKWRkZODee+8NSqCBKioqwhtvvIFf/epXGDx4cEDn6tSpk88rCN+N7dZPuPD1t7jvvvugDPVqqGHAbrfj7NmzQbseUkkpRNvWjbLidXUcV28AJWUQEYGvmWgzW3DhzBl069aNn48QYbfbceLEibC6Ju77gl6vD+g9SxY7UOpMNhQ2OyJ0uoC/QEiSBKPRCL1eH9CkB6nUMwnSREVCU5/rulWofI1avg+73Q61Wo3777+/2utSVlZW60YNvxOjgQMH4tVXX8X58+exZs0aTJo0CRMmTMDjjz/u8bw//vGPPp87MtI5QNVkMnntc2+Lioqq9fnKysowZcoUJCYmYuHChT7HU5lSqQz6jUBSKMvPHcg3EQquYFwPyW6HUKmhiIhwDr4ME4qYKDh+Lg1KMUv3560uPnsUmHC7JkKI8h+/6bWeCYjJAhGkKtiBxuYxTd81WLw+Z5dKgDMh8uF9uN9zTb+LvvyO+p0YpaWloVu3btDrnRczOTkZy5cvxzvvvIMrV66gdevWmDhxIoYNG+bzudu3bw/AOY6pMve2du3a1epcJpMJ06ZNQ5MmTZCZmRlWH2AKEWYrEBVeSREA14BNEdpF7Ijk4K6C7R4XZDIHLTEKhORwOGsruem0YfnZ9Tsx0ul0SExM9Nj2+OOPe7UY+aNnz55YvXo1CgoKvBKrgoICaLVadO/e/a7nsVgsmDFjBoQQeOedd6DVOkfW//DDDzAYDGjatGnAsRLdlc0ORVTggysbGqFSOdeCMlsb7dpwRP5wVsHWAO7WmVCpgm2yeDysOIPOZDLhgw8+wM6dO1FYWAhJkqDT6dC+fXskJydj6NChaNu2rcfx169fx4IFC/DVV19h3759aNOmjddLbtu2DYsWLfLsBZIkQAjYbDb89NNPWLx4MZ5++ungvtcahORX2F69eiEhIQF79uwpL9YIOP+T8/PzMXz4cBgMd/7QFBYWlk/Dd7NYLJg1axYsFgtWr17tMZB75cqV+PLLL+v+jVDYk1wfcOgDH2fTEInoSMDGaftElXlM23dIni01MvGsdo3yatc2mw3PPvssNmzYgJdffhk5OTnIzc3F5s2bERsbizfffBOff/65x7mys7MxcuTIWq2rOmzYMOTm5iI3NxcHDx7EwX8cwMGDBzFnzhyo1WoMHDgwmG/zrkIyMVKpVFi8eDEuX76MzMxM2O12lJSUYP78+WjRogXS09PLn/vJJ5+gb9++mDlzZvk2m82G559/HgcPHkRiYiKysrLw9ttvl/98//33crwtCkcWKxChhQiTVakrE3otQrF+HZHsKlfBrlw7qJ45q11XGNer1ZaPD9y/fz/y8/Mxc+ZMJCcnl7dsxcbGYsmSJejYsaPHuQ4cOICsrCxkZWWhT58+Nb5uq1at0KlTpyr3bd26Ff3790fz5s0DeGe+C9m7dUpKCv76178iMzMTjzzyCIQQ6N27Nz788EOP+kZNmzZFZGQk7rnnnvJtZ86cwd69ewHAr8rbREFjsUI0C+NioloNhEYNyWqFUNfjzBaiECeUSkga9Z1CqEYz0ETGgCyVql1XaNFy1xasKkFRKBSYNGmSx9CUxMREbN26FRrN3bvQ+/TpU2XydP78eeTn52Pt2rU+vY1gCNnECHAO6N60aVONz0lJScHRo0c9tt1///0oKCioy9CIakWCBEUQpqs3VEIIiOhISEU/AUyMiDwIvRaSOzGy2SFZbbK1Lnu1WFVo0XLXK9y+fTv69evnNVM3LS3N43EwWni2bduG1q1bo2/fvgGfy1chnRgRNWTOm5w6rFalroow6CHd+FHuMIjqnOSQYL7igFTLYXWSVQ38WGGmdLEZIsK/AdiSJMFiAoTO7jGIW6gBbZzi7ovAVhxfpFZBqO7E1a9fP0RGRmLPnj1IS0vDuHHjMHDgwDrr4rLb7cjOzsbTTz8tS/kaJkZEdcVsgWgeI/9ME7nptIBSAcnuCL+SBRQ2JJuEH942wXzZ12VwKhcL9q7f5xvvsUraBAXazNJBqKq+F0k2m+eiz5XWRmvWrBlWrlyJefPm4dSpU1i4cCEWLVqE7t27IzU1FWlpaUEtenwgJwdFRUV48skng3ZOX/AuRVRXJAnCENwK6Q2RUCqAqAjAIv+sG6K6Yr0l+ZEU1Q/zZQest2qYBVF5mr7Oe9HYlJQU7N27FytWrMBjjz0GnU6H/Px8LF68GMOGDQvqUlnbtm9Dnz590Lp166Cd0xdMjIjqgGR3OEv8V3GDCUeKKANgDZ/FRin8qJsJaBNC80+qNkEBdbPqW66liovGKpzVrqui0WgwfPhwrFy5EocOHUJmZia6du2Kq1evIiMjIyixFhUV4cBXX+Gpp54Kyvn8wa40orpgsQCRYVjtujp6HSBYBZsaL6ESaPNbnU9jjABXtembP93ZoNVAxET6/PqSJMFsMkNbqVr13cYYSQ6HZ4uRvnbVrrVaLYYMGYL+/ftj6NChOHbsGMrKygLuUsvOzkZ0dDQGDBgQ0HkCwcSIqC7YbFBEh1+16+oItQqI0DqnBIf5YHRqvIRCQBfv67JTSjhiVIB7VpjCBNE62ucvEJIkQSoD9BFK3441370bbefOndi3bx8yMzO99mm1WiQmJuLKlSswmUwBJ0bbt2/HyCeegFrGWaz8OksUZJIkARDsRqtEREfeqdlCROW8qmDX4+fEo9o1UOXyPTabDUePHq1yYXdJknDu3DnExcWhWbNmAcVy/PhxnDlzBk+NkmfQtRsTI6Jgs1gBvQ6imn76cCUidJDAMthEXipXwa6crNQRSZI8p+nrNOXVriu7ceMG0tPTcf78edeXP+DatWvIyMjAuXPnMHfu3IDj2bp1K5KTk9G+lovE1xV2pREFm8UK0SqMq11XR6uBUKtlLWJHFIqESglJrbozZd5kBhBV4zFBYbUCFdYjraobDQAGDBiAJUuWICcnB9OnT0dpaSksFgu0Wi2SkpLw3nvvITk52eOYgQMHwmg0oqSkBADw1FNPQalUYsaMGRg3bpzXa5hMJuzevRsLFiwI4hv0D+9OREEmSQjratfVEUJAxERCKioGmBgRedJr7yRGVhskmw1CVbefE6+WKX3ViVGTJk0wevRojB49utbn/uKLL3yKRafT4ejRo87WKKvt7gfUIXalEQWRZLNBaFQcYFwNYYgAV5Ul8iYqJyX10Z3mVe2aX1gAJkZEwWW2QkRH3r38frjSaQGFswo2EVWgVjtrCLl4rV0WZJLN7tkyw8ki5ZgYEQWTwwFh0MsdRcgSSgUQySrYRJUJITy7skwWZ42hulIp8fJqsQpjTIyIgkRyOACFqLafnpwU0QbAJu8YAqJQ5JWcmOruC4TH+CKFqLbadThiYkQULGYLYIiAUPpa4C3M6LQARPmUXyJy0WqACr3wddWdJjkcgLniNP3aVbsOF0yMiILFZofCj1L+4UZo1M5WNRZ7JPIgFArPiRtGc918gTBbULGkGLvRPDExIgoCSXKVLuQAxloR0VGyT8klCkVCX6HUh8NRJ18gvKtd875VERMjomCw2iD0Wla7riURoYPkYFcakZfKVbCD3J0mSZLnwGtt9dWuwxX/N4iCwWKBiGI3Wq1pNRAaFSQOwibyIFRKzwKowa5nZLUBFcplsBvNGxMjoiCQJInT9H0gFMK5qKyZ44yIvFRMVqw2Z82hYKncAsVuNC9MjIgCJNnszoqxrHbtE2HQe3xzJSInrzXLgtid5jG+SKXkuoVVYGJEFCizhdWu/aHXAkpRt0XsiBoiTaUq2EZTUE4r2e2eg7nZjVYlpopEgbI7ICIj5I6iwRFKJWCIAIwmQM9Fd4nchBCQdFqgzOjcYHZWwQ54kHTlatc+dKOZTCZ88MEH2LlzJwoLCyFJEnQ6Hdq3b4/k5GQMHToUbdu29Tjm+vXrWLBgAb766ivs27cPbdq0qfLcNpsNW7ZswZYtW3Dt2jUohEB8QgImTpyIIUOG+P4+A8QWI6IAlFe7Zj+9XxTRBsAaxPETRI2Ex6BoCc7aQwHyqnZdy+5/m82GZ599Fhs2bMDLL7+MnJwc5ObmYvPmzYiNjcWbb76Jzz//3OOY7OxsjBw5EqdOnbrr+V9++WUsWrQITzzxhDOJ+nwPunfvjt/+9rf485//7NN7DAYmRkSBsFiByAjnTBLynV4HSYBVsIkq03kmLV61h3zknKZfIbnyodr1/v37kZ+fj5kzZyI5Obn8uNjYWCxZsgQdO3b0eP6BAweQlZWFrKws9OnTp8ZzX7t2DdnZ2UhMTMTEiROhVCqh0WgwZ84ctGjRAuvWrYPVWr+TNJgYEQXCanO2epBfhEbt/GbMYo9EHryqYJsCrIJttgAVjvelG+3ChQsAgObNm3vtUygUmDRpEjp16lS+LTExEVu3bkXXrl3veu7r168DAOLj4z22K5VKtG7dGmVlZSguLq51rMHAxIjIT6x2HRwiKhKw1N1imUQNlUd3mt0R0BeIQKpdt2zZEgCwfft2OKqYLJGWloZ+/fqVP27evDk0mtp107Vr1w4ajQYXL1702G61WvHDDz+gSZMmVSZkdYmDr4n8ZbVBaDUQnKYfEGHQwVEogXP6qKGTHBKkH25DsgRppqXNDunWnRlpougWEFlNvTRXRWuHzgZU6CITGgUQF+FZKFKrhlDWvl2kX79+iIyMxJ49e5CWloZx48Zh4MCBQUlYYmJi8PLLL2PJkiVYs2YNnnnmGdiMJqx4+y2UlJRg2bJl9b7ALRMjIn9ZLBAtm8kdRcOn1UIoVa56UByrRQ2TZHPA/Id/QrpYKlsMCgBVtb2Ktgaox7aEUDoTDF+60QCgWbNmWLlyJebNm4dTp05h4cKFWLRoEbp3747U1FSkpaUhIsL/mbljx45F8+bNsWTJEmRmZkKSJMTFxWHNmjV3HaNUF9iVRuQnyQFWuw4CoRAQMYagzLohkot00yxrUlQT6dJtSD9VrF/ke3mMlJQU7N27FytWrMBjjz0GnU6H/Px8LF68GMOGDcPp06f9jm/58uWYPXs2pkyZgry8PHz7zSFMnDgR06ZNw1/+8he/z+svJkZEfihv3WA3WlCISINzJXGiBkq00EK0C831EkWcDqKJa4FrldL54weNRoPhw4dj5cqVOHToEDIzM9G1a1dcvXoVGRkZfp0zNzcX69evx+OPP47x48fDYDDAEBGB8ePHY8SIEfj973+PI0eO+HVuf7ErjcgfFgsQHclVqYNFpwWECE4ROyIZCJUC2t8lBneMEQBIEqSbP92ZUaZRQzSJqvJ5JpMZOtdnqZwSgOL2ncr8PkzTr4lWq8WQIUPQv39/DB06FMeOHUNZWZnPXWq5ubkAgIceeshrX8+ePbFt2zYcOHAAycnJAcdcW0yMiPxhd0DBatdBI1RKwKB3dqdxlh81UEIhIBKC32rkaCYBZa5B2EJAtI7yWoJIkiSgrAyKiAiPxEe6bYR0q8JgbD+WAdm5cyf27duHzMxMr31arRaJiYm4cuUKTCaTz4mR0eis7l1VsubeVlpav12U/GpG5CPJ4XB+I+M6Q0EloiNZz4ioCp5VsCWfxuN5TNMXta92XZHNZsPRo0dhMnmv2SZJEs6dO4e4uDg0a+b7ZJRu3boBAPLz8732fffddwCcdZHqExMjIl9ZrECEDkLFBtdgEnqtszYUq2ATedJ6fgmTTLWrgi25pvCXC6Ab7caNG0hPT8f58+fLP6PXrl1DRkYGzp07h7lz5/p13hEjRqBr167Yvn07duzYAZvNBpvNhuzsbGzduhUPPPAAUlNT/Tq3v3hnJ/KV1QbRsqncUTQ+GrVzGrHV5lxdnIgAAEKpgKRVA2bXzDKjCVKTqLsnOZWrXfvZyj1gwAAsWbIEOTk5mD59OkpLS2GxWKDVapGUlIT33nvPawzQwIEDYTQaUVJSAgB46qmnoFQqMWPGDIwbN678eRqNBps2bcLatWuxZs0aLF68GIBzuZHnnnsOU6dOrXWxyGBhYkTkA3e1awVXgw86IQRETCSkG7eYGBFVIvQ6SO7EyF0F+y6fE6+WJZ1/CUaTJk0wevRojB49utbHfPHFF7V+rsFgQHp6OtLT052tUVYboFbVe2FHN3alEfnCaoPQqPmHu46ICD0kzton8lZ5UkJtutMqji/SqCGULKBaG0yMiHxhsULERMr2TabR02kgVEpINrvckRCFFKFWedQf8lr7rBLJagMqfI787UYLR0yMiHwhOSAMnKZfV4RCAUQbuKgsUVUqJjcWKyR7DV8gvLrRmBjVFhMjolqS7HZAqfK7n55qRxEZ4RxDQUQevNY4M1X/BUIyVphar1QAag4pri0mRkS1ZbYCUQZWZq5r+jtVsImoAq3Go6p1dd1pkt1xZwYbAOh17P73Ae/wRLVlt0ERxW60uiZUKiBC56wXRUTlhBCeXWImc9V1v8yeCZNXSxPViIkRUS04bz6sdl1fRAyrYFPoCYVWl9pUwQ5GteuGKFjXh4kRUW2YrYBBz2rX9UTodZAAVsGmkCKEgBACVquMrZmVxjh6dad5VbvWeK2r1tjYbDYoFAomRkT1ymZ1ruVF9UOjdtaLsrHViEKHEAKRkZEoLi6WLwal0rOOWqXuNMliBRwVql2HQTdaSUkJtFr/lzupjF9/iWpBkgAFu9HqTXkV7Js/AWoW06TQ0bx5c1y+fBkAEBMTA7UMv5+SVg3JPY7I6oCwWAClEg6HA3azERWrpAqNCqKmaf0hRpIkwOEA7PZaJTplZWUoKipCfHx80GJgYkR0F5LV6my9CJN++lAhDBHO5UGIQoher0dCQgKKiopw8eJFWbp7JbsdKC69s6GoENBqYLVaoTaa75S7UCkhbsvXuuUXSYJkd0AoFR4z8KqjUqnQsmVLREQEb2IMEyOiuzFbIVo0CYmBl2FFpwEUypqL2BHJQK/Xo02bNs61E10/9UmSJFh/vwHSLWfSI9rHQfmbJ/H914fRbvfh8ucpB6ZAldypXmMLlORwQLp6A+KelnctjeIe8xXsezMTI6K7cUgQEXq5owg7zirYkUDJbY+lEIhCRV38Ua4tqXN72A9+53xw/gcozBZEX7kJRYXiqOqu90HRwNZHk4SAJBQQSqVsNeM4+JqoBs5q1wqW05eJIioCsHMANlFliq4d7jxwSJAKLiLqStGdbdGREHGx9R9YI8DEiKgmZisQFeHs76b6p9MCEM7R70RUTtEhHtDeGfjtyD+FiMIfyx8rH+jA7n8/hfTd/siRI5gwYQJSUlLQp08fvPDCC7h27Vqtj3c4HMjKysLgwYORkpKCwYMHY926dXBwqQGqLZsNiiiD3FGELaFmFWyiqgiVCopO7csfS9+fh6LCNH2PFiXyScgmRocOHcLEiRPRo0cP5OTk4NNPP0VxcTHGjBmDGzdu1OocCxYswOrVq7Fs2TJ88803WL58OdauXYsFCxbUcfTUKEiSc1aEXid3JGFNxEQxMSKqQrXJj0oFRce29RtMIxKSiZHNZkNGRgYSEhIwe/ZsqFQqREdHY+nSpbh58yZWrFhx13McPnwYW7duxeTJk9GjRw8AQFJSEqZMmYKtW7fi22+/reu3QQ2cwmYHInTOVguSjdBrgUZeuZfIH8r77wWq+GgoOiU4S4yQX0IyMTp8+DAuX76MQYMGQVFhVHqrVq2QlJSE3bt34/bt2zWe4+9//zsAYPDgwR7b3Y8//PDDIEdNjY3C7nDOiiJ5aTWAloPfiSoTUQaI+Hu8tiseuE+GaBqPkEyM8vLyAACdO3f22telSxeYzWYcP378rufQ6XRo29azOTEhIQERERHlr0FUHUmSPBdsJFkIIYBojvMiqoqyiu405QMcXxSIkOwjuHDhAgAgNtZ7qqF728WLF/Hwww9XeXxZWRkKCwsRHx9f5aj82NhYXLx4EUajEXq97/Vp7HY77EEuOmd32KGwO2AruQ1lA6s70RjZrVZIKiXsKmWDKqffWDn0WkhKRdA/d+Q/97XgNZFZ5/bApwfvPL6nJRxREUADvS6Sw3FnSZAgzkb15fc0JBOj0lJnqXOdznvQq3tbSUlJtce791WX9FQ8hz+J0enTp30+5m4UVhtUTSJxpvBq0M9N/rFHG3Dy5Em5wyAAcEhQGfQ4ceKE3JFQJbwmMpMk3Belh7bECAC4HhuFm8eOyRtTICQJKqMFthv/V6slQepCSCZGoa5Tp05BXZcFcGazJ06cQLdu3dhiFAJ4PUILr0fo4TUJHY7mv4D9kxz8CBt+8dQwtGFBWi9lZWW1btQIycQoMtI54NVkMnntc2+Lioqq9nj3PqPRWOX+2pyjJkqlss5uBHV5bvIdr0do4fUIPbwm8lO2bwPFtDH4v2PHEKvT8npUwZf/k5AcfN2+vbNoVWFhodc+97Z27dpVe3xERARiY2Nx8+bNKhf3KywsRKtWrfzqRiMiIqLGKyQTo549ewIACgoKvPYVFBRAq9Wie/fudz2H0WjEpUuXPLb/+9//RllZWflrEBEREbmFZGLUq1cvJCQkYM+ePR7Ld1y/fh35+fkYPnw4DIY703cLCwths3kuNDlmzBgAwOeff+6x/bPPPvPYT0REROQWkomRSqXC4sWLcfnyZWRmZsJut6OkpATz589HixYtkJ6eXv7cTz75BH379sXMmTM9ztGrVy88+eSTWLduHfLz8wEAx48fx9q1a/Hkk0+yxYiIiIi8hOTgawBISUnBX//6V2RmZuKRRx6BEAK9e/fGhx9+6FHfqGnTpoiMjMQ993hX/3zttdfQvn17vPjiiygpKUFkZCQmT56MSZMm1edbISIiogYiZBMjAEhOTsamTZtqfE5KSgqOHj1a5T6lUonJkydj8uTJdREeERERNTIh2ZVGREREJAcmRkREREQuTIyIiIiIXJgYEREREbkwMSIiIiJyYWJERERE5MLEiIiIiMglpOsYhRr38iRGozHo57bb7QCAsrIyrowcAng9QguvR+jhNQktvB41c//drrjMWHWEVNXy81SloqIiXLx4Ue4wiIiIyA/t2rVD8+bNa3wOEyMf2Gw2FBcXQ6vVQqFgLyQREVFD4HA4YDabERMTA5Wq5s4yJkZERERELmz2ICIiInJhYkRERETkwsSIiIiIyIWJEREREZELEyMiIiIiFyZGRERERC5MjIiIiIhcmBgRERERuTAxIiIiInLhIrIyO3LkCDIzM3H27FkoFAr07t0bc+fOxS9+8Qu5Qws7paWl2LFjB3bt2oULFy7AZrOhRYsWeOyxxzBt2jRERkbKHWJYs9vtGDNmDE6ePImNGzeiV69ecocUloxGI7KysvDZZ5+huLgYVqsV8fHxeOyxxzB16lS5wwsrRqMRGzduxK5du1BUVASlUon77rsPU6ZMQUpKitzhNVhsMZLRoUOHMHHiRPTo0QM5OTn49NNPUVxcjDFjxuDGjRtyhxd20tPTsWzZMjzzzDP4+uuvkZeXh+effx7vvfcexo4di7KyMrlDDGvr16/HyZMn5Q4jrBUXF+Ppp5/GpUuXsHHjRhw8eBA7d+6EQqHA9u3b5Q4vrEiShMmTJyMzMxP/9V//hdzcXHz22Wdo1qwZnn32WezYsUPuEBssJkYysdlsyMjIQEJCAmbPng2VSoXo6GgsXboUN2/exIoVK+QOMew4HA6MGzcOw4YNg1KphFKpxODBgzFhwgScPn0af//73+UOMWxduHABq1evxqBBg+QOJawtWbIEQggsX768fIXyVq1a4Xe/+x06deokc3Th5ejRo/j2228xcOBADB06FEIIGAwGLFq0CAqFAqtWrZI7xAaLiZFMDh8+jMuXL2PQoEFQKO5chlatWiEpKQm7d+/G7du3ZYww/KSmpmLUqFFe25OSkgAAJ06cqOeICHB+M16wYAEmTpzIP74yunr1Kj7++GM8+eSTUCqVHvuSk5Px1ltvyRRZeCosLAQAxMfHe2yPiopC06ZNcfXqVTnCahSYGMkkLy8PANC5c2evfV26dIHZbMbx48frO6ywNnLkSHTp0sVru81mAwDExMTUd0gE4G9/+xuKi4sxbdo0uUMJa/v27YMkSUhMTJQ7FALQsWNHAMDFixc9tv/000/48ccf0aFDBxmiahyYGMnkwoULAIDY2Fivfe5tlX/hSR7uBHXw4MEyRxJ+rly5gjfffBNLly6FRqORO5yw9v333wMAlEolFi1ahEcffRS9e/fG6NGj2c0sg44dO2LatGn48ssvsWPHDlgsFty6dQsLFy6ETqfDvHnz5A6xwWJiJJPS0lIAgE6n89rn3lZSUlKvMZG3kpISZGdno3///pwFJYOFCxdi1KhR6N69u9yhhL2ioiIAwLRp09CqVStkZ2dj79696NOnDzIyMrBkyRKZIww/6enpWLhwIZYuXYr/+I//QEpKCi5fvoxNmzbxfhUAJkZENXjjjTeg1WqxdOlSuUMJO9u2bcOlS5eQnp4udygEwGQyAXC2VEyfPh2RkZGIiorC7NmzkZSUhE2bNqGgoEDmKMOH3W5Heno6li9fjkWLFuHo0aPIy8vDL3/5S4wfPx4ff/yx3CE2WEyMZOKuieO+2VTk3hYVFVWvMZGndevWYd++fVi3bl35DByqHzdu3MDy5cvx2muvQa/Xyx0O4U5L9sMPP+y1r2/fvgCAnJyceo0pnG3duhWffPIJnnvuOQwfPhxarRYxMTFIT09Ht27d8PLLL+Pf//633GE2SCzwKJP27dsDuDOzoCL3tnbt2tVnSFTB5s2bsW7dOmzYsIGDGGXwzTffwGKxYM6cOR7b3bWkZs2aBbVajY4dO+Ldd9+VIcLwExcXBwBo2rSp174WLVoAAG7dulWvMYWz3NxcAMBDDz3kta9Xr17Iy8tDbm4ufvWrX9V3aA0eW4xk0rNnTwCosum5oKAAWq2W4ypk8tFHH2HFihXIyspC165dATjHhJ0/f17myMLH448/jvz8fOTm5nr8PPfccwCAt99+G7m5uUyK6lGPHj0AADdv3vTa506I2LJaf4xGIwBACOG1z73NPZaVfMPESCa9evVCQkIC9uzZA4fDUb79+vXryM/Px/Dhw2EwGGSMMDxlZ2dj2bJlWLduHR588MHy7f/85z/xyiuvyBgZkbz69++PJk2a4ODBg177vv76awgh0K9fv/oPLEx169YNAJCfn++177vvvgMAllbwExMjmahUKixevBiXL19GZmYm7HY7SkpKMH/+fLRo0YIDTmXwySef4KWXXkJSUhJycnLw9ttvl/9wuQMKdwaDAa+88gry8/OxZs0amM1mWCwWrF27Ft9++y2mTp3Kbud6NH78eMTFxSErKwsHDhyAw+GAxWJBVlYWDh48iF/+8pfo3bu33GE2SEKSJEnuIMJZxUVkhRDli8jec889cocWdp544gmcOnWq2v09e/bEpk2b6jEiclu4cCH27duHsrIylJWVISYmBmq1GnPnzsXIkSPlDi+s5OTkYPXq1Th9+jQkSUKHDh0wfvx4pKamyh1a2CkqKsKqVavwj3/8Az/++CMkSUKbNm0wYsQIPPvss6z95ScmRkREREQu7EojIiIicmFiREREROTCxIiIiIjIhYkRERERkQsTIyIiIiIXJkZERERELkyMiIiIiFyYGBERERG5MDEiIiIicmFiREQNWrdu3dC5c2d07twZb7/9ttzhlJs/f355XAMGDJA7HCKqJSZGRNSgnThxAhs3bpQ7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    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 5 bins for the x-axis.\n"," num_bins=10,\n"," label_mapping=speaker_mapping\n",")"]},{"cell_type":"markdown","metadata":{"id":"fhjxVEuLV-cI"},"source":["## 📚 Conclusions and Next Steps\n","\n","Great! From this tutorial, we learned how to use `edu-convokit` to preprocess, annotate and analyze the Amber dataset.\n","We saw how very simple principles built into `edu-convokit` can be used to analyze the dataset and gain insights into the data from various perspectives (qualitative, quantitative, lexical and temporal).\n","\n","Other resources you can check out include:\n","- [Tutorial on edu-convokit for the NCTE dataset](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [Tutorial on edu-convokit for the Amber dataset](https://colab.research.google.com/drive/1Q3anUPcemMils4cz2gwEwDdKCjEdm6T9)\n","- [`edu-convokit` documentation](https://edu-convokit.readthedocs.io/en/latest/index.html)\n","- [`edu-convokit` GitHub repository](https://github.com/rosewang2008/edu-convokit/tree/main)\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"k7mq7jBNqBWw"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 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b/docs/source/tutorial_text_preprocessing.ipynb deleted file mode 100644 index 28ce997..0000000 --- a/docs/source/tutorial_text_preprocessing.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"k42uhYCNL17R"},"source":["# Tutorial on Text Pre-Processing for Education Language Data\n","\n","Welcome to this tutorial on using [`edu-convokit`](https://github.com/rosewang2008/edu-convokit) for text pre-processing.\n","Text pre-processing is a critical step in handling education language data.\n","- It ensures the data is clean (education data is notoriously messy).\n","- It ensures the data is standardized, ready for annotation and analysis.\n","- It ensures that the students and educators are anonymized; this is important to protect the privacy of individuals involved and allow for safe secondary data analysis.\n","\n","`edu-convokit` is designed to support these purposes.\n","\n","## 📚 Learning Objectives\n","\n","In this tutorial, you will learn how to use `TextPreprocessor` to:\n","\n","- Section Link 🔗: Anonymize your data when you know the names of your students and educators.\n","- Section Link 🔗: Anonymize your data when you do _not_ know the names of your students and educators.\n","- Section Link 🔗: Standardize your data for downstream feature annotation.\n","\n","Without further ado, let's get started!"]},{"cell_type":"markdown","metadata":{"id":"8kPOLmVwL17T"},"source":["## Installation\n","\n","Let's first install `edu-convokit`.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"4YQtoaRaL17U","executionInfo":{"status":"ok","timestamp":1703931918080,"user_tz":480,"elapsed":19709,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}},"outputId":"c839492b-efb6-4269-c669-6d40b8c24ff7","colab":{"base_uri":"https://localhost:8080/"}},"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-580kdce9\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-580kdce9\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 8eb087b51abfa36a7031bf1de4e3dc40d8848186\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) (4.66.1)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) (1.23.5)\n","Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) (1.11.4)\n","Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) (3.8.1)\n","Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->spacy->edu-convokit==0.0.1) (2.1.3)\n","Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->edu-convokit==0.0.1) (1.3.0)\n"]}],"source":["!pip install git+https://github.com/rosewang2008/edu-convokit.git"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"aYeytk12L17V"},"outputs":[],"source":["from edu_convokit.preprocessors import TextPreprocessor\n","\n","# For helping us flexibly load data\n","from edu_convokit import utils"]},{"cell_type":"markdown","metadata":{"id":"LcKP8AqWL17V"},"source":["## 📑 Data\n","\n","Let's load the data we'll be working with. We're going to be using a transcript from the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves)."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"U2BkkCwFL17V","outputId":"593dc399-3654-41bf-eb95-d8427eab3752","colab":{"base_uri":"https://localhost:8080/","height":554},"executionInfo":{"status":"ok","timestamp":1703931933263,"user_tz":480,"elapsed":490,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["--2023-12-30 10:25:32-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves/Boats%20and%20Fish%202_Grade%204.xlsx\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 10528 (10K) [application/octet-stream]\n","Saving to: ‘Boats and Fish 2_Grade 4.xlsx.3’\n","\n","\r Boats and 0%[ ] 0 --.-KB/s \rBoats and Fish 2_Gr 100%[===================>] 10.28K --.-KB/s in 0s \n","\n","2023-12-30 10:25:32 (61.8 MB/s) - ‘Boats and Fish 2_Grade 4.xlsx.3’ saved [10528/10528]\n","\n"]},{"output_type":"execute_result","data":{"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 David \n","26 26 NaN 14.0 David \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 Beth \n","30 30 NaN 17.0 David \n","31 31 NaN NaN T \n","32 32 NaN 17.0 David \n","33 33 NaN 17.0 Meredith and David \n","34 34 NaN 18.0 David \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, David and Meredith? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "],"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0DavidYeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0DavidHey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0BethOne halfNaN4 - Making a Claim
    3030NaN17.0DavidI think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, David and Meredith?2 - Keeping Everyone TogetherNaN
    3232NaN17.0DavidWhat do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and DavidWellNaN1 - None
    3434NaN18.0Davidwe thinkNaN1 - None
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    \n"]},"metadata":{},"execution_count":3}],"source":["!wget \"https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves/Boats and Fish 2_Grade 4.xlsx\"\n","\n","data_fname = \"Boats and Fish 2_Grade 4.xlsx\"\n","df = utils.load_data(data_fname) # Handles loading data from different file types including: .csv, .xlsx, .json\n","\n","# Show these lines because they contain names in the speaker and text columns.\n","df[25:35]"]},{"cell_type":"markdown","metadata":{"id":"mKpDbA76L17W"},"source":["### Some things to observe about the data...\n","\n","💡 Note: `edu-convokit` cares about two key columns: a column for the speaker and a column for the text.\n","- In the TalkMoves dataset, the speaker is in the `Speaker` column and the text is in the `Sentence` column. We can create two variables to store these column names as these will be used throughout the tutorial.\n","\n","💡 Note: We see that the names occur in the speaker and text column\n","- e.g., names like David and Meredith appear in the speaker and text column.\n","- The teacher is always shortened to \"T\" in the speaker column.\n","\n","💡 Note: The utterances from the same speaker are not always grouped together.\n","- We'll fix this in the section on standardizing the data for downstream annotation and analysis."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"XXWRYTXJL17W"},"outputs":[],"source":["# Creating variables for the columns we want to use\n","TEXT_COLUMN = \"Sentence\"\n","SPEAKER_COLUMN = \"Speaker\"\n"]},{"cell_type":"markdown","metadata":{"id":"odHyvBDKL17W"},"source":["## 📝 Anonymizing Data with Known Names\n","\n","We will now anonymize the data when we know the names of the students and educators in the dataset.\n","From our experience, this is the most common scenario in education language data where the names of the students and educators are known.\n","For example, these names come from a roster or a list of students in a class, or are officially recorded in a database.\n","\n","To do this, we need to create a list of names that we want to anonymize, and a list of replacement names that we want to use to replace the names in the dataset.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"PVyIHOcdL17W","outputId":"af399ea4-e28c-4f22-b82b-60d43df552b5","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1703931933558,"user_tz":480,"elapsed":4,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["['T' 'David' 'Meredith' 'Beth' 'Meredith and David' 'T 2']\n"]}],"source":["# Show the names of the speakers. In your use case, you might load this from a file or database.\n","print(df[SPEAKER_COLUMN].unique())"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-eSSt5ggL17X","outputId":"bd8ae703-252f-413b-ebc9-99d74c2bc31a","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1703931933558,"user_tz":480,"elapsed":3,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["['[STUDENT_0]', '[STUDENT_1]', '[STUDENT_2]']\n"]}],"source":["# Create list of names and replacement names. We will make the replacement names unique so that we can easily find them later.\n","known_names = [\"David\", \"Meredith\", \"Beth\"]\n","known_replacement_names = [f\"[STUDENT_{i}]\" for i in range(len(known_names))]\n","print(known_replacement_names)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"cwB9NqieL17X"},"outputs":[],"source":["# Now let's anonymize the names in the text!\n","processor = TextPreprocessor()\n","df = processor.anonymize_known_names(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," names=known_names,\n"," replacement_names=known_replacement_names,\n"," # We will directly replace the names in the text column.\n"," # If you want to keep the original text, you can set `target_text_column` to a new column name.\n"," target_text_column=TEXT_COLUMN\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"G5c836CqL17Y","outputId":"09aacde0-d8da-4838-a6f6-1e17d6d49a71","colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"status":"ok","timestamp":1703931933744,"user_tz":480,"elapsed":188,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 David \n","26 26 NaN 14.0 David \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 Beth \n","30 30 NaN 17.0 David \n","31 31 NaN NaN T \n","32 32 NaN 17.0 David \n","33 33 NaN 17.0 Meredith and David \n","34 34 NaN 18.0 David \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, [STUDENT_0] and [STUDENT_1]? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "],"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0DavidYeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0DavidHey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0BethOne halfNaN4 - Making a Claim
    3030NaN17.0DavidI think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, [STUDENT_0] and [STUDENT_1]?2 - Keeping Everyone TogetherNaN
    3232NaN17.0DavidWhat do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and DavidWellNaN1 - None
    3434NaN18.0Davidwe thinkNaN1 - None
    \n","
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    \n"]},"metadata":{},"execution_count":8}],"source":["# Let's see what the anonymized text looks like!\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"UpPLDTchL17Y"},"source":["💡 Note: Nice, we can see that the text has been anonymized (e.g., line 31)!\n","\n","However, the speaker names have not been anonymized. Let's fix that."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ieT9faoxL17Y","outputId":"72d2fac9-6a31-4892-e10f-60293db4c9d5","colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"status":"ok","timestamp":1703931933744,"user_tz":480,"elapsed":8,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 [STUDENT_0] \n","26 26 NaN 14.0 [STUDENT_0] \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 [STUDENT_2] \n","30 30 NaN 17.0 [STUDENT_0] \n","31 31 NaN NaN T \n","32 32 NaN 17.0 [STUDENT_0] \n","33 33 NaN 17.0 [STUDENT_1] and [STUDENT_0] \n","34 34 NaN 18.0 [STUDENT_0] \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, [STUDENT_0] and [STUDENT_1]? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "],"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0[STUDENT_0]Yeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0[STUDENT_0]Hey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0[STUDENT_2]One halfNaN4 - Making a Claim
    3030NaN17.0[STUDENT_0]I think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, [STUDENT_0] and [STUDENT_1]?2 - Keeping Everyone TogetherNaN
    3232NaN17.0[STUDENT_0]What do you have?NaN2 - Relating to Another Student
    3333NaN17.0[STUDENT_1] and [STUDENT_0]WellNaN1 - None
    3434NaN18.0[STUDENT_0]we thinkNaN1 - None
    \n","
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    \n"]},"metadata":{},"execution_count":9}],"source":["df = processor.anonymize_known_names(\n"," df=df,\n"," text_column=SPEAKER_COLUMN,\n"," names=known_names,\n"," replacement_names=known_replacement_names,\n"," target_text_column=SPEAKER_COLUMN\n",")\n","\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"OlMZqjFdL17Y"},"source":["🎉 Great, now we have anonymized the speaker names as well! Some other great things are that:\n","- We have a record of the original names and the anonymized names. So if we want to go back to the original names, we can do that.\n","- The anonymized names are consistent: So [STUDENT_0] in the SPEAKER_COLUMN will refer to the same [STUDENT_0] in the TEXT_COLUMN.\n","\n","\n","This concludes the tutorial on anonymizing data with known names.\n","The next section will cover anonymizing data when you do *not* know the names of the students and educators in your dataset."]},{"cell_type":"markdown","metadata":{"id":"UPS9UK-YL17Y"},"source":["## 📝 Anonymizing Data with Unknown Names\n","\n","We will now anonymize the data when we **do not know** the names of the students and educators in the dataset.\n","Note that the anonymization will be imperfect as we do not know the names of the students and educators in the dataset and identifying names consistently is a hard task (rf. [named entity recognition](https://en.wikipedia.org/wiki/Named-entity_recognition))---so use this with caution!\n","We will show some of these failure modes in the tutorial."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"wDoDXMC1L17Y","outputId":"34f6a952-9aaa-41f2-c1cd-d21c8e7aab35","colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"status":"ok","timestamp":1703931933744,"user_tz":480,"elapsed":6,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 David \n","26 26 NaN 14.0 David \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 Beth \n","30 30 NaN 17.0 David \n","31 31 NaN NaN T \n","32 32 NaN 17.0 David \n","33 33 NaN 17.0 Meredith and David \n","34 34 NaN 18.0 David \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, David and Meredith? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "],"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0DavidYeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0DavidHey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0BethOne halfNaN4 - Making a Claim
    3030NaN17.0DavidI think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, David and Meredith?2 - Keeping Everyone TogetherNaN
    3232NaN17.0DavidWhat do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and DavidWellNaN1 - None
    3434NaN18.0Davidwe thinkNaN1 - None
    \n","
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    \n"]},"metadata":{},"execution_count":10}],"source":["# Let's start fresh with the original data\n","df = utils.load_data(data_fname)\n","df.iloc[25:35]"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"UZssHkshL17Y","outputId":"e9119804-46ec-41fc-9b24-351e9f80fbd1","colab":{"base_uri":"https://localhost:8080/","height":397},"executionInfo":{"status":"ok","timestamp":1703931938852,"user_tz":480,"elapsed":5114,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Names: ['Beth', 'David']\n","Replacement names: ['[PERSON0]', '[PERSON1]']\n"]},{"output_type":"execute_result","data":{"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 [PERSON1] \n","26 26 NaN 14.0 [PERSON1] \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 [PERSON0] \n","30 30 NaN 17.0 [PERSON1] \n","31 31 NaN NaN T \n","32 32 NaN 17.0 [PERSON1] \n","33 33 NaN 17.0 Meredith and [PERSON1] \n","34 34 NaN 18.0 [PERSON1] \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, David and Meredith? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "],"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0[PERSON1]Yeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0[PERSON1]Hey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0[PERSON0]One halfNaN4 - Making a Claim
    3030NaN17.0[PERSON1]I think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, David and Meredith?2 - Keeping Everyone TogetherNaN
    3232NaN17.0[PERSON1]What do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and [PERSON1]WellNaN1 - None
    3434NaN18.0[PERSON1]we thinkNaN1 - None
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    \n"]},"metadata":{},"execution_count":11}],"source":["processor = TextPreprocessor()\n","df, (names, replacement_names) = processor.anonymize_unknown_names(\n"," df=df,\n"," text_column=SPEAKER_COLUMN,\n"," target_text_column=SPEAKER_COLUMN,\n"," # Will return the names and replacement names that were used.\n"," return_names=True\n",")\n","\n","print(f\"Names: {names}\")\n","print(f\"Replacement names: {replacement_names}\")\n","df.iloc[25:35]\n"]},{"cell_type":"markdown","metadata":{"id":"jCr5oWbVL17Y"},"source":["💡 Note: Observe that the name \"Meredith\" has not been anonymized.\n","`anonymize_unknown_names` currently uses spacY's named entity recognition model to identify names. This is an imperfect model and will not identify all names, as we can see here.\n","\n","There are ways we can improve this. For example:\n","- We can manually add \"Meredith\" to the list of names to anonymize and run `anonymize_known_names` again.\n","- We can cross-reference names from the [SSA database](https://www.ssa.gov/oact/babynames/limits.html) to identify names that are not identified by the model. However, this will lead to a high false positive rate, i.e., names that are not actually names will be identified as names."]},{"cell_type":"markdown","metadata":{"id":"aK_qUAPgL17Y"},"source":["To complete the anonymization process, we will use the `names` and `replacement_names` returned from `anonynmize_unknown_names` to anonymize the text. This makes the anonymization consistent between the speaker and text columns."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"N3j3E-reL17Z","outputId":"696dabc1-8af3-4b88-b958-c0a021ac3d0c","colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"status":"ok","timestamp":1703931939103,"user_tz":480,"elapsed":256,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 [PERSON1] \n","26 26 NaN 14.0 [PERSON1] \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 [PERSON0] \n","30 30 NaN 17.0 [PERSON1] \n","31 31 NaN NaN T \n","32 32 NaN 17.0 [PERSON1] \n","33 33 NaN 17.0 Meredith and [PERSON1] \n","34 34 NaN 18.0 [PERSON1] \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, [PERSON1] and Meredith? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "],"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0[PERSON1]Yeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0[PERSON1]Hey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0[PERSON0]One halfNaN4 - Making a Claim
    3030NaN17.0[PERSON1]I think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, [PERSON1] and Meredith?2 - Keeping Everyone TogetherNaN
    3232NaN17.0[PERSON1]What do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and [PERSON1]WellNaN1 - None
    3434NaN18.0[PERSON1]we thinkNaN1 - None
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    \n"]},"metadata":{},"execution_count":12}],"source":["df = processor.anonymize_known_names(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," target_text_column=TEXT_COLUMN,\n"," names=names,\n"," replacement_names=replacement_names\n",")\n","\n","# David is anonymized but Meredith is not (rf. line 31).\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"w_famd8QL17Z"},"source":["## 📝 Standardizing Data for Downstream Annotation and Analysis\n","\n","We will now standardize the data for downstream annotation and analysis.\n","One common standardization is to group the utterances from the same speaker together.\n","We will show how you can do this on the anonymized data.\n","\n","For other standardizations, please refer to [`edu-convokit`'s documentation](TODO), or feel free to add a feature/pull request on our [GitHub](https://github.com/rosewang2008/edu-convokit)."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"HzkWhG82L17Z","outputId":"312992d3-8fd2-458a-e544-973c40d7fa74","colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"status":"ok","timestamp":1703931945572,"user_tz":480,"elapsed":6473,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 [PERSON1] \n","26 26 NaN 14.0 [PERSON1] \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 [PERSON0] \n","30 30 NaN 17.0 [PERSON1] \n","31 31 NaN NaN T \n","32 32 NaN 17.0 [PERSON1] \n","33 33 NaN 17.0 Meredith and [PERSON1] \n","34 34 NaN 18.0 [PERSON1] \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, [STUDENT_0] and [STUDENT_1]? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "],"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0[PERSON1]Yeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0[PERSON1]Hey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0[PERSON0]One halfNaN4 - Making a Claim
    3030NaN17.0[PERSON1]I think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, [STUDENT_0] and [STUDENT_1]?2 - Keeping Everyone TogetherNaN
    3232NaN17.0[PERSON1]What do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and [PERSON1]WellNaN1 - None
    3434NaN18.0[PERSON1]we thinkNaN1 - None
    \n","
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    \n"]},"metadata":{},"execution_count":13}],"source":["# First let's start fresh with the original data & anonymize it like we did before.\n","df = utils.load_data(data_fname)\n","processor = TextPreprocessor()\n","\n","# Anonymize text\n","df = processor.anonymize_known_names(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," names=known_names,\n"," replacement_names=known_replacement_names,\n"," target_text_column=TEXT_COLUMN\n",")\n","\n","# Anonymize speakers\n","df, (names, replacement_names) = processor.anonymize_unknown_names(\n"," df=df,\n"," text_column=SPEAKER_COLUMN,\n"," target_text_column=SPEAKER_COLUMN,\n"," return_names=True\n",")\n","\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"mYgh27y9L17Z"},"source":["Now we'll group utterances from the same speaker together."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"OtQ1KMp6L17Z","outputId":"fdebfb34-f99a-4a04-8a4f-fa69b5426607","colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"status":"ok","timestamp":1703931945572,"user_tz":480,"elapsed":4,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" Sentence Speaker\n","25 dark green [PERSON1]\n","26 If you put it up to a whole Meredith\n","27 I’m sorry, what’s the number name for dark green T\n","28 One Meredith and [PERSON1]\n","29 Ok. T\n","30 And you put six ones up to the dark green Meredith\n","31 Hold on, I’m a little confused. Tell me again.... T\n","32 One sixth Meredith\n","33 One sixth. T\n","34 And then these, this would be [PERSON1]"],"text/html":["\n","
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    SentenceSpeaker
    25dark green[PERSON1]
    26If you put it up to a wholeMeredith
    27I’m sorry, what’s the number name for dark greenT
    28OneMeredith and [PERSON1]
    29Ok.T
    30And you put six ones up to the dark greenMeredith
    31Hold on, I’m a little confused. Tell me again....T
    32One sixthMeredith
    33One sixth.T
    34And then these, this would be[PERSON1]
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    \n"]},"metadata":{},"execution_count":14}],"source":["df = processor.merge_utterances_from_same_speaker(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We're going to directly replace the text in the text column.\n"," target_text_column=TEXT_COLUMN\n",")\n","\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"YoiLqghQL17Z"},"source":["We can see that the utterances from the same speaker are now grouped together!"]},{"cell_type":"markdown","metadata":{"id":"LNl0hUUTL17Z"},"source":["## 📝 Conclusion and Where to Go From Here\n","\n","In this tutorial, we learned how to use `TextPreprocessor` to:\n","1. Anonymize your data when you know the names of your students and educators.\n","2. Anonymize your data when you do _not_ know the names of your students and educators.\n","3. Standardize your data for downstream feature annotation.\n","\n","The next natural step is to annotate your data with features of interest. Here are some resources to get you started:\n","- [`edu-convokit`'s documentation on `Annotator`](https://edu-convokit.readthedocs.io/en/latest/annotation.html)\n","- [`edu-convokit`'s tutorial on `Annotator`](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw)\n","\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","source":[],"metadata":{"id":"Xd9Gq3A0qKvI"},"execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.5"},"colab":{"provenance":[]}},"nbformat":4,"nbformat_minor":0} \ No newline at end of file diff --git a/edu_convokit/__init__.py b/edu_convokit/__init__.py deleted file mode 100644 index f2b3589..0000000 --- a/edu_convokit/__init__.py +++ /dev/null @@ -1 +0,0 @@ -__version__ = "0.3.0" \ No newline at end of file diff --git a/edu_convokit/analyzers/__init__.py b/edu_convokit/analyzers/__init__.py deleted file mode 100644 index 4ab3a7b..0000000 --- a/edu_convokit/analyzers/__init__.py +++ /dev/null @@ -1,19 +0,0 @@ -from .lexical_analyzer import ( - LexicalAnalyzer -) - -from .qualitative_analyzer import ( - QualitativeAnalyzer -) - -from .quantitative_analyzer import ( - QuantitativeAnalyzer -) - -from .temporal_analyzer import ( - TemporalAnalyzer -) - -from .gpt_conversation_analyzer import ( - GPTConversationAnalyzer -) \ No newline at end of file diff --git a/edu_convokit/analyzers/analyzer.py b/edu_convokit/analyzers/analyzer.py deleted file mode 100644 index a636ddf..0000000 --- a/edu_convokit/analyzers/analyzer.py +++ /dev/null @@ -1,65 +0,0 @@ -from edu_convokit import utils -from typing import List, Dict, Tuple, Union -import pandas as pd -import os - -class Analyzer: - def __init__( - self, - data_dir: str = None, - filenames: Union[List[str], str] = None, - dfs: Union[List[pd.DataFrame], pd.DataFrame] = None, - max_transcripts: int = None - ): - """ - Initialize an analyzer. - - There are several ways to initialize an analyzer: - - You can specify a data directory, in which case all files in the directory will be loaded. - - You can specify a list of filenames, in which case all files will be loaded. - - You can specify a single filename, in which case only that file will be loaded. - - You can specify a dataframe, in which case the dataframe will be used. - - Note: All of these filenames must be valid analysis files (i.e. .csv, .xlsx, or .json). - - Arguments: - data_dir (str): directory containing data files - filenames (Union[List[str], str]): list of filenames to load - dfs (Union[List[pd.DataFrame], pd.DataFrame]): list of dataframes to load - max_transcripts (int): maximum number of transcripts to load - """ - self.data_dir = data_dir - self.filenames = filenames - - self.dfs = dfs - if isinstance(self.dfs, pd.DataFrame): - self.dfs = [self.dfs] - - self.max_transcripts = max_transcripts - - # Load the data into a list of files and df - if self.data_dir is not None: - self.filenames = utils.get_valid_analysis_files_in_dir(self.data_dir) - self.dfs = [utils.load_data(fname) for fname in self.filenames] - - if self.max_transcripts is not None: - self.filenames = self.filenames[:self.max_transcripts] - - self._df = utils.merge_dataframes_in_list(filenames=self.filenames) - elif filenames is not None: - if isinstance(filenames, str): - self.filenames = [filenames] - self.dfs = [utils.load_data(fname) for fname in self.filenames] - self._df = utils.merge_dataframes_in_list(filenames=self.filenames) - - def get_df(self): - return self._df - - def plot_statistics(self): - raise NotImplementedError - - def report_statistics(self): - raise NotImplementedError - - def print_statistics(self): - raise NotImplementedError \ No newline at end of file diff --git a/edu_convokit/analyzers/gpt_conversation_analyzer.py b/edu_convokit/analyzers/gpt_conversation_analyzer.py deleted file mode 100644 index c3ae10d..0000000 --- a/edu_convokit/analyzers/gpt_conversation_analyzer.py +++ /dev/null @@ -1,167 +0,0 @@ -""" -This analyzer is for analyzing full *conversations* using models from OpenAI. -The prompts should be placed under prompts/conversation -""" -import pandas as pd -from typing import List, Union, Tuple -import tqdm -import itertools -import logging -import os -from edu_convokit import utils -from edu_convokit.analyzers import analyzer -from edu_convokit.preprocessors.token_preprocessor import TokenPreprocessor -from edu_convokit.constants import ( - CONVERSATION_PROMPTS_DIR, - OPENAI_MODEL_2_CONTEXT_LENGTH -) -import openai - -from tenacity import ( - retry, - stop_after_attempt, - wait_random_exponential, -) - -from dotenv import load_dotenv - -load_dotenv() - -class GPTConversationAnalyzer(analyzer.Analyzer): - - @retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(2)) - def completion_with_backoff(self, prompt, model, temperature=0.0, max_tokens=None): - openai.api_key = os.getenv("OPENAI_API_KEY") - response = openai.ChatCompletion.create( - model=model, - messages=[ - {"role": "user", "content": prompt} - ], - temperature=temperature, - max_tokens=max_tokens, - ) - revision = response['choices'][0]['message']['content'] - return revision - - def preview_prompt( - self, - df: pd.DataFrame, - prompt_name: str, # Should match the prompt name under CONVERSATION_PROMPTS_DIR - text_column: str, - speaker_column: str, - model: str = "gpt-4", - add_line_numbers: bool = False, - format_template: str = "{speaker}: {text}", - keep_transcript_fraction: float = None, - ) -> str: - """ - Preview a prompt on a dataframe and return the prompt. - - Arguments: - df (pd.DataFrame): pandas dataframe - prompt_name (str): name of prompt - text_column (str): name of column containing text - speaker_column (str): name of column containing speaker names - model (str): model name - add_line_numbers (bool): whether to add line numbers - format_template (str): format string - keep_transcript_fraction (float): fraction of transcript to keep - - Returns: - str: prompt - """ - if not prompt_name.endswith(".txt"): - prompt_name += ".txt" - - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - assert speaker_column in df.columns, f"Speaker column {speaker_column} not found in dataframe." - assert model in OPENAI_MODEL_2_CONTEXT_LENGTH, f"Model {model} not found in OPENAI_MODEL_2_CONTEXT_LENGTH." - - # Load the prompt. - prompt_fpath = '/'.join(('prompts', 'conversation', prompt_name)) - prompt_template = utils.load_text_file(prompt_fpath) - - # Determine max context length - max_context_length = OPENAI_MODEL_2_CONTEXT_LENGTH[model] - - # Determine prompt length - model_tp = TokenPreprocessor(model=model) - prompt_length = model_tp.get_num_tokens_from_string(prompt_template) - - # Set budget - if keep_transcript_fraction is None: - budget = max_context_length - prompt_length - else: - # Get full transcript text - transcript_txt = "\n".join(df[text_column].tolist()) - # Get transcript length - budget = int(model_tp.get_num_tokens_from_string(transcript_txt) * keep_transcript_fraction) - - # Format transcript within budget - transcript_txt = model_tp.format_transcript_within_budget( - df=df, - text_column=text_column, - speaker_column=speaker_column, - max_token_budget=budget, - format_template=format_template, - add_line_numbers=add_line_numbers, - print_num_tokens=False, - ) - - # Format prompt - prompt = prompt_template.format(conversation=transcript_txt) - return prompt - - def run_prompt( - self, - df: pd.DataFrame, - prompt_name: str, # Should match the prompt name under CONVERSATION_PROMPTS_DIR - text_column: str, - speaker_column: str, - model: str = "gpt-4", - add_line_numbers: bool = False, - format_template: str = "{speaker}: {text}", - temperature: float = 0.0, - max_tokens: int = None, - keep_transcript_fraction: float = None, - ) -> Tuple[str, str]: - """ - Run a prompt on a dataframe and return the (prompt, response) pair. - - Arguments: - df (pd.DataFrame): pandas dataframe - prompt_name (str): name of prompt - text_column (str): name of column containing text - speaker_column (str): name of column containing speaker names - model (str): model name - add_line_numbers (bool): whether to add line numbers - format_template (str): format string - temperature (float): temperature - max_tokens (int): maximum number of tokens - keep_transcript_fraction (float): fraction of transcript to keep - - Returns: - Tuple[str, str]: (prompt, response) pair - """ - prompt = self.preview_prompt( - df=df, - prompt_name=prompt_name, - text_column=text_column, - speaker_column=speaker_column, - model=model, - add_line_numbers=add_line_numbers, - format_template=format_template, - keep_transcript_fraction=keep_transcript_fraction - ) - - # Run the prompt - output = self.completion_with_backoff( - prompt=prompt, - model=model, - temperature=temperature, - max_tokens=max_tokens, - ) - return prompt, output - - - diff --git a/edu_convokit/analyzers/lexical_analyzer.py b/edu_convokit/analyzers/lexical_analyzer.py deleted file mode 100644 index c859f38..0000000 --- a/edu_convokit/analyzers/lexical_analyzer.py +++ /dev/null @@ -1,484 +0,0 @@ -import pandas as pd -from typing import List, Union, Tuple -from collections import defaultdict -import math -from gensim.models import Phrases -from gensim.models.phrases import Phraser -from edu_convokit import utils -import tqdm -import matplotlib.pyplot as plt -import seaborn as sns -import nltk - -import itertools -import re -import logging -from edu_convokit.analyzers import analyzer - - -class LexicalAnalyzer(analyzer.Analyzer): - - def print_word_frequency( - self, - text_column: str, - topk: int = 5, - df: pd.DataFrame = None, - speaker_column: str = None, - run_text_formatting: bool = False, - run_ngrams: bool = False, - n: int = 0 - ) -> str: - """ - Print word frequency for a dataframe. - - Arguments: - df (pd.DataFrame): pandas dataframe - text_column (str): name of column containing text to analyze - topk (int): number of top words to return - speaker_column (str): name of column containing speaker names. If specified, it will report word frequency for each speaker. - run_text_formatting (bool): whether to run standard text formatting - run_ngrams (bool): whether to run ngrams - n (int): n for ngrams - - Returns: - str: word frequency - """ - - text = self.report_word_frequency( - df=df, - text_column=text_column, - topk=topk, - speaker_column=speaker_column, - run_text_formatting=run_text_formatting, - run_ngrams=run_ngrams, - n=n, - ) - print(text) - - def report_word_frequency( - self, - text_column: str, - topk: int = 5, - df: pd.DataFrame = None, - speaker_column: str = None, - run_text_formatting: bool = False, - run_ngrams: bool = False, - n: int = 0 - ) -> str: - """ - Reports word frequency for a dataframe as a string. - - Arguments: - df (pd.DataFrame): pandas dataframe - text_column (str): name of column containing text to analyze - topk (int): number of top words to return - speaker_column (str): name of column containing speaker names. If specified, it will report word frequency for each speaker. - run_text_formatting (bool): whether to run standard text formatting - run_ngrams (bool): whether to run ngrams - n (int): n for ngrams - - Returns: - str: word frequency - """ - if df is None: - df = self.get_df().copy() - - # Make sure text columns are interpreted as strings - df[text_column] = df[text_column].astype(str) - - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - - df = df.copy() - - if run_text_formatting: # Run standard text formatting. - df[text_column] = df[text_column].apply(utils._clean_text_to_words) - - if run_ngrams: # Run ngrams. - df = self._compute_ngrams(df, text_column, n=n) - - df = self._format_text_column(df, text_column) - - if speaker_column is None: - top_words = self._get_top_words(df, text_column, topk) - text = self._format_word_frequency(top_words) - else: - text = "Top Words By Speaker\n" - for speaker in df[speaker_column].unique(): - # Skip if speaker is nan - if isinstance(speaker, float) and math.isnan(speaker): - continue - speaker_df = df[df[speaker_column] == speaker] - top_words = self._get_top_words(speaker_df, text_column, topk) - text += f"{speaker}\n" - text += self._format_word_frequency(top_words) - text += "\n\n" - return text - - def _get_top_words( - self, - df: pd.DataFrame, - text_column: str, - topk: int = 5, - ) -> List[Tuple[str, int]]: - words = df[text_column].sum() - word_counts = nltk.FreqDist(words) - top_words = word_counts.most_common(topk) - return top_words - - def _format_word_frequency(self, word_counts): - text = "" - for word, count in word_counts: - text += f"{word}: {count}\n" - return text - - def _format_text_column( - self, - df: pd.DataFrame, - text_column: str - ) -> pd.DataFrame: - """ - Format text column for lexical analysis. Check that text column is a list of strings, otherwise split on spaces. - """ - if isinstance(df[text_column].iloc[0], str): - df[text_column] = df[text_column].str.split() - return df - - def _get_counts(self, texts, vocab): - counts = {w: 0 for w in vocab} - for split in texts: - count = 0 - prev = '' - for w in split: - if w == '': - continue - if w in vocab: - counts[w] += 1 - if count > 0: # Enable bigram counts if the vocab allows that. - bigram = prev + ' ' + w - if bigram in vocab: - counts[bigram] += 1 - count += 1 - prev = w - return counts - - def _logodds(self, counts1, counts2, prior, zscore = True): - # code from Dan Jurafsky - # Note: counts1 will be positive and counts2 will be negative - - sigmasquared = defaultdict(float) - sigma = defaultdict(float) - delta = defaultdict(float) - - n1 = sum(counts1.values()) - n2 = sum(counts2.values()) - - # Since we use the sum of counts from the two groups as a prior, this is equivalent to a simple log odds ratio. - nprior = sum(prior.values()) - for word in prior.keys(): - if prior[word] == 0: - delta[word] = 0 - continue - l1 = float(counts1[word] + prior[word]) / (( n1 + nprior ) - (counts1[word] + prior[word])) - l2 = float(counts2[word] + prior[word]) / (( n2 + nprior ) - (counts2[word] + prior[word])) - sigmasquared[word] = 1/(float(counts1[word]) + float(prior[word])) + 1/(float(counts2[word]) + float(prior[word])) - sigma[word] = math.sqrt(sigmasquared[word]) - delta[word] = (math.log(l1) - math.log(l2)) - if zscore: - delta[word] /= sigma[word] - return delta - - def _compute_logodds( - self, - df1: pd.DataFrame, - df2: pd.DataFrame, - text_column1: str, - text_column2: str, - words2idx: dict, - ) -> Tuple[dict, dict, dict, dict]: - - counts1 = self._get_counts(df1[text_column1], words2idx) - counts2 = self._get_counts(df2[text_column2], words2idx) - prior = {} - for k, v in counts1.items(): - prior[k] = v + counts2[k] - - # Note: You might not want to z-score if there are significantly larger events in one group than the other. - delta = self._logodds(counts1, counts2, prior, True) - return prior, counts1, counts2, delta - - def _get_ngrams(self, text, n): - ngrams = [] - for i in range(len(text) - n + 1): - ngrams.append(' '.join(text[i:i+n])) - return ngrams - - def _compute_ngrams( - self, - df: pd.DataFrame, - text_column: str, # Values in this column should be lists of strings. If they are not, they will be split on spaces. - n: int = 0, # If n is 0, will return all ngrams. - target_text_column: str = None, # Put ngrams in a new column. - min_count: int = 1, # Minimum number of times an ngram must appear to be included. - ) -> Union[List[str], pd.DataFrame]: - df = df.copy() - - if target_text_column is None: - target_text_column = text_column - - df[target_text_column] = df[text_column] - df = self._format_text_column(df, target_text_column) - - if n == 0: - ngram_model = Phrases(df[target_text_column].tolist(), min_count=min_count) - ngram_phraser = Phraser(ngram_model) - df[target_text_column] = df[target_text_column].apply(lambda x: ngram_phraser[x]) - else: - df[target_text_column] = df[target_text_column].apply(lambda x: self._get_ngrams(x, n)) - return df - - def _get_logodds( - self, - df1: pd.DataFrame, - df2: pd.DataFrame, - text_column1: str, - text_column2: str, - topk: int = 5, - zscore: bool = True, - logodds_factor: float = 1.0, - run_text_formatting: bool = False, - run_ngrams: bool = False, - n: int = 0, - ) -> Tuple[List[Tuple[str, float]], List[Tuple[str, float]]]: - """ - Return topk log-odds for each df: ([(word, log-odds), ...], [(word, log-odds), ...]) - - For more information on log-odds, see: https://en.wikipedia.org/wiki/Odds_ratio - - Arguments: - df1 (pd.DataFrame): pandas dataframe - df2 (pd.DataFrame): pandas dataframe - text_column1 (str): name of column containing text to analyze in df1 - text_column2 (str): name of column containing text to analyze in df2 - topk (int): number of top words to return - zscore (bool): whether to z-score the log-odds - logodds_factor (float): factor to multiply standard deviation by to determine top words - run_text_formatting (bool): whether to run standard text formatting - run_ngrams (bool): whether to run ngrams - n (int): n for ngrams - - Returns: - Tuple[List[Tuple[str, float]], List[Tuple[str, float]]]: topk log-odds for each df: ([(word, log-odds), ...], [(word, log-odds), ...]) - """ - assert text_column1 in df1.columns, f"Text column {text_column1} not found in dataframe." - assert text_column2 in df2.columns, f"Text column {text_column2} not found in dataframe." - - df1 = df1.copy() - df2 = df2.copy() - - # Make sure text columns are interpreted as strings - df1[text_column1] = df1[text_column1].astype(str) - df2[text_column2] = df2[text_column2].astype(str) - - if run_text_formatting: # Run standard text formatting. - df1[text_column1] = df1[text_column1].apply(utils._clean_text_to_words) - df2[text_column2] = df2[text_column2].apply(utils._clean_text_to_words) - - if run_ngrams: # Run ngrams. - df1 = self._compute_ngrams(df1, text_column1, n=n) - df2 = self._compute_ngrams(df2, text_column2, n=n) - - df1_ = self._format_text_column(df1, text_column1) - df2_ = self._format_text_column(df2, text_column2) - - # Get all words and build word index dictionary. - words = df1_[text_column1].sum() + df2_[text_column2].sum() - words = list(set(words)) - words2idx = {w: i for i, w in enumerate(words)} - - # Compute log-odds - prior, counts1, counts2, logodds = self._compute_logodds(df1_, df2_, text_column1, text_column2, words2idx) - - LOGODDS_COLUMN = 'logodds' - logodds_df = pd.DataFrame.from_dict(logodds, orient='index', columns=[LOGODDS_COLUMN]) - mean = 0 - std = logodds_df[LOGODDS_COLUMN].std() - - # Get top words and sort - top_words = logodds_df[logodds_df[LOGODDS_COLUMN] >= mean + logodds_factor * std].sort_values(by=LOGODDS_COLUMN, ascending=False).head(topk) - bottom_words = logodds_df[logodds_df[LOGODDS_COLUMN] <= mean - logodds_factor * std].sort_values(by=LOGODDS_COLUMN, ascending=True).head(topk) - - return list(zip(top_words.index, top_words[LOGODDS_COLUMN])), list(zip(bottom_words.index, bottom_words[LOGODDS_COLUMN])) - - def _format_log_odds(self, log_odds1, log_odds2): - text = "" - text += "Top words for Group 1\n" - for word, score in log_odds1: - text += f"{word}: {score}\n" - text += "\n\n" - text += "Top words for Group 2\n" - for word, score in log_odds2: - text += f"{word}: {score}\n" - return text - - def report_log_odds( - self, - df1: pd.DataFrame, - df2: pd.DataFrame, - text_column1: str, - text_column2: str, - topk: int = 5, - zscore: bool = True, - logodds_factor: float = 1.0, - run_text_formatting: bool = False, - run_ngrams: bool = False, - n: int = 0, - ) -> str: - """ - Return formatted topk log-odds for each df: ([(word, log-odds), ...], [(word, log-odds), ...]) - - Arguments: - df1 (pd.DataFrame): pandas dataframe - df2 (pd.DataFrame): pandas dataframe - text_column1 (str): name of column containing text to analyze in df1 - text_column2 (str): name of column containing text to analyze in df2 - topk (int): number of top words to return - zscore (bool): whether to z-score the log-odds - logodds_factor (float): factor to multiply standard deviation by to determine top words - run_text_formatting (bool): whether to run standard text formatting - run_ngrams (bool): whether to run ngrams - n (int): n for ngrams - - Returns: - str: formatted topk log-odds for each df: ([(word, log-odds), ...], [(word, log-odds), ...]) - """ - - log_odds1, log_odds2 = self._get_logodds( - df1=df1, - df2=df2, - text_column1=text_column1, - text_column2=text_column2, - topk=topk, - zscore=zscore, - logodds_factor=logodds_factor, - run_text_formatting=run_text_formatting, - run_ngrams=run_ngrams, - n=n, - ) - - text = self._format_log_odds(log_odds1, log_odds2) - return text - - def print_log_odds( - self, - df1: pd.DataFrame, - df2: pd.DataFrame, - text_column1: str, - text_column2: str, - topk: int = 5, - zscore: bool = True, - logodds_factor: float = 1.0, - run_text_formatting: bool = False, - run_ngrams: bool = False, - n: int = 0, - ) -> None: - """ - Print topk log-odds for each df: ([(word, log-odds), ...], [(word, log-odds), ...]) - - Arguments: - df1 (pd.DataFrame): pandas dataframe - df2 (pd.DataFrame): pandas dataframe - text_column1 (str): name of column containing text to analyze in df1 - text_column2 (str): name of column containing text to analyze in df2 - topk (int): number of top words to return - zscore (bool): whether to z-score the log-odds - logodds_factor (float): factor to multiply standard deviation by to determine top words - run_text_formatting (bool): whether to run standard text formatting - run_ngrams (bool): whether to run ngrams - n (int): n for ngrams - """ - - text = self.report_log_odds( - df1=df1, - df2=df2, - text_column1=text_column1, - text_column2=text_column2, - topk=topk, - zscore=zscore, - logodds_factor=logodds_factor, - run_text_formatting=run_text_formatting, - run_ngrams=run_ngrams, - n=n, - ) - - print(text) - - def plot_log_odds( - self, - df1: pd.DataFrame, - df2: pd.DataFrame, - text_column1: str, - text_column2: str, - group1_name: str = "Group 1", - group2_name: str = "Group 2", - topk: int = 5, - save_path: str = None, - zscore: bool = True, - logodds_factor: float = 1.0, - run_text_formatting: bool = False, - run_ngrams: bool = False, - n: int = 0, - ) -> None: - """ - Plot topk log-odds for each df: ([(word, log-odds), ...], [(word, log-odds), ...]) - - Arguments: - df1 (pd.DataFrame): pandas dataframe - df2 (pd.DataFrame): pandas dataframe - text_column1 (str): name of column containing text to analyze in df1 - text_column2 (str): name of column containing text to analyze in df2 - group1_name (str): name of group 1 - group2_name (str): name of group 2 - topk (int): number of top words to return - save_path (str): path to save plot - zscore (bool): whether to z-score the log-odds - logodds_factor (float): factor to multiply standard deviation by to determine top words - run_text_formatting (bool): whether to run standard text formatting - run_ngrams (bool): whether to run ngrams - n (int): n for ngrams - """ - - sns.set_theme(style="whitegrid") - sns.set_context("paper", font_scale=1.5, rc={"lines.linewidth": 2.5}) - plt.rcParams["font.family"] = "serif" - - log_odds1, log_odds2 = self._get_logodds( - df1=df1, - df2=df2, - text_column1=text_column1, - text_column2=text_column2, - topk=topk, - zscore=zscore, - logodds_factor=logodds_factor, - run_text_formatting=run_text_formatting, - run_ngrams=run_ngrams, - n=n, - ) - - # Create dataframe - log_odds_df = pd.DataFrame(log_odds1 + log_odds2, columns=['word', 'log_odds']) - # Plot x-axis: log-odds, y-axis: words - plt.figure(figsize=(6, len(log_odds_df) / 2)) - sns.barplot(x='log_odds', y='word', data=log_odds_df) - plt.xlabel('Log odds') - plt.ylabel('Words') - - x_min, x_max = plt.xlim() - y_min, y_max = plt.ylim() - plt.text(x_min, y_min, group2_name, ha='left', va='center') # second group because it's negative - plt.text(x_max, y_min, group1_name, ha='right', va='center') - plt.title(f"Log odds: {group1_name} vs. {group2_name}") - if save_path is not None: - plt.savefig(save_path, bbox_inches='tight') - else: - plt.show() - plt.clf() diff --git a/edu_convokit/analyzers/qualitative_analyzer.py b/edu_convokit/analyzers/qualitative_analyzer.py deleted file mode 100644 index c41f8ea..0000000 --- a/edu_convokit/analyzers/qualitative_analyzer.py +++ /dev/null @@ -1,233 +0,0 @@ - - -from edu_convokit.analyzers import analyzer -from typing import List, Dict, Tuple, Union -import pandas as pd - -class QualitativeAnalyzer(analyzer.Analyzer): - - def print_examples( - self, - speaker_column: str, - text_column: str, - feature_column: str, - df: pd.DataFrame = None, - feature_value: Union[str, List[str]] = None, # If None, then use all values - max_num_values: int = 2, - max_num_examples: int = 3, - show_k_previous_lines: int = 0, - show_k_next_lines: int = 0, - dropna: bool = False - ) -> None: - """ - Get text examples for a feature value. - - Output = - [( - [(speaker, text), ...)], # previous text - (speaker, current_text), # current text - [(speaker, text), ...], # next text - feature_value) - ), ...] - - Arguments: - speaker_column (str): name of column containing speaker names - text_column (str): name of column containing text to get predictions for - feature_column (str): name of column containing feature to get examples for - df (pd.DataFrame): pandas dataframe. If None, then use self.dfs from constructor - feature_value (Union[str, List[str]]): if not None, only get examples for this feature value - show_k_previous_lines (int): show k previous lines - show_k_next_lines (int): show k next lines - dropna (bool): drop rows with NaN values in feature_column - - Returns: - None - """ - examples = self._get_examples( - df=df, - speaker_column=speaker_column, - text_column=text_column, - feature_column=feature_column, - feature_value=feature_value, - max_num_values=max_num_values, - max_num_examples=max_num_examples, - show_k_previous_lines=show_k_previous_lines, - show_k_next_lines=show_k_next_lines, - dropna=dropna - ) - print(self._format_examples(examples, feature_column)) - - def report_examples( - self, - speaker_column: str, - text_column: str, - feature_column: str, - df: pd.DataFrame = None, - feature_value: Union[float, List[float]] = None, # If None, then use all values - max_num_values: int = 2, - max_num_examples: int = 3, - show_k_previous_lines: int = 0, - show_k_next_lines: int = 0, - dropna: bool = False - ) -> str: - """ - Get text examples for a feature value. - - Output = - [( - [(speaker, text), ...)], # previous text - (speaker, current_text), # current text - [(speaker, text), ...], # next text - feature_value) - ), ...] - - Arguments: - speaker_column (str): name of column containing speaker names - text_column (str): name of column containing text to get predictions for - feature_column (str): name of column containing feature to get examples for - df (pd.DataFrame): pandas dataframe. If None, then use self.dfs from constructor - feature_value (Union[float, List[float]]): if not None, only get examples for this feature value - show_k_previous_lines (int): show k previous lines - show_k_next_lines (int): show k next lines - dropna (bool): drop rows with NaN values in feature_column - - Returns: - str: formatted examples - """ - examples = self._get_examples( - df=df, - speaker_column=speaker_column, - text_column=text_column, - feature_column=feature_column, - feature_value=feature_value, - max_num_values=max_num_values, - max_num_examples=max_num_examples, - show_k_previous_lines=show_k_previous_lines, - show_k_next_lines=show_k_next_lines, - dropna=dropna - ) - return self._format_examples(examples, feature_column) - - def _get_examples( - self, - speaker_column: str, - text_column: str, - feature_column: str, - df: pd.DataFrame = None, - feature_value: Union[float, List[float]] = None, # If None, then use all values - max_num_values: int = 2, - max_num_examples: int = 3, - show_k_previous_lines: int = 0, - show_k_next_lines: int = 0, - dropna: bool = False - ) -> List[Tuple[List[Tuple[str, str]], Tuple[str, str], List[Tuple[str, str]], float]]: - """ - Get text examples for a feature value. - - Output = [( - [(speaker, text), ...)], # previous text - (speaker, current_text), # current text - [(speaker, text), ...], # next text - feature_value) - ), ...] - - Arguments: - speaker_column (str): name of column containing speaker names - text_column (str): name of column containing text to get predictions for - feature_column (str): name of column containing feature to get examples for - df (pd.DataFrame): pandas dataframe. If None, then use self.dfs from constructor - feature_value (Union[float, List[float]]): if not None, only get examples for this feature value - show_k_previous_lines (int): show k previous lines - show_k_next_lines (int): show k next lines - dropna (bool): drop rows with NaN values in feature_column - - Returns: - List[Tuple[List[Tuple[str, str]], Tuple[str, str], List[Tuple[str, str]], float]]: list of examples - """ - - if df is None: - # Merge self.dfs into one df - df = pd.concat(self.dfs) - - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - assert feature_column in df.columns, f"Feature column {feature_column} not found in dataframe." - - if dropna: - df = df.dropna(subset=[feature_column]) - - if feature_value is None: - feature_value = df[feature_column].unique() - - elif isinstance(feature_value, float): - feature_value = [feature_value] - - # Casting types for df and feature_value - df[text_column] = df[text_column].astype(str) - - examples = [] - - num_values = 0 - for value in feature_value: - # Get all rows with feature_value - rows = df[df[feature_column] == value] - - - num_examples = 0 - # Get examples - for i, row in rows.iterrows(): - # Get previous lines - prev_lines = [] - for j in range(max(i - show_k_previous_lines, 0), i): - if j < 0: - continue - prev_lines.append((df.iloc[j][speaker_column], df.iloc[j][text_column])) - - # Get next lines - next_lines = [] - for j in range(i + 1, min(i + show_k_next_lines + 1, len(df))): - if j >= len(df): - continue - next_lines.append((df.iloc[j][speaker_column], df.iloc[j][text_column])) - - num_examples += 1 - examples.append((prev_lines, (row[speaker_column], row[text_column]), next_lines, row[feature_column])) - - if num_examples >= max_num_examples: - break - - if num_values >= max_num_values: - break - num_values += 1 - - return examples - - def _format_examples( - self, - examples: List[Tuple[List[Tuple[str, str]], Tuple[str, str], List[Tuple[str, str]], str]], - feature_column: str, - ) -> str: - """ - Format examples returned by get_examples. - - Output: - - Feature value: - : # Previous text - >> : # Current text - : # Next text - - Feature value: - ... - """ - - formatted_examples = [] - for prev_lines, current_line, next_lines, feature_value in examples: - formatted_examples.append(f"{feature_column}: {feature_value}") - for speaker, text in prev_lines: - formatted_examples.append(f"{speaker}: {text}") - formatted_examples.append(f">> {current_line[0]}: {current_line[1]}") - for speaker, text in next_lines: - formatted_examples.append(f"{speaker}: {text}") - formatted_examples.append("") - - return "\n".join(formatted_examples) diff --git a/edu_convokit/analyzers/quantitative_analyzer.py b/edu_convokit/analyzers/quantitative_analyzer.py deleted file mode 100644 index 027079e..0000000 --- a/edu_convokit/analyzers/quantitative_analyzer.py +++ /dev/null @@ -1,221 +0,0 @@ -import seaborn as sns -import matplotlib.pyplot as plt -from typing import List, Dict, Tuple, Union -import pandas as pd -from edu_convokit.analyzers import analyzer -from edu_convokit import utils -import tqdm -import os - -class QuantitativeAnalyzer(analyzer.Analyzer): - - def _compute_statistics( - self, - speaker_column: str, - feature_column: str, - df: pd.DataFrame = None, - dropna: bool = False - ) -> pd.DataFrame: - """ - Compute statistics for a feature across all speakers. - - Arguments: - speaker_column: name of column containing speaker names - feature_column: name of column containing feature to compute statistics for - """ - - if df is None: - # Load all the dataframes if no df is passed. - assert self.filenames is not None, "No filenames passed to analyzer. Either initialize the analyzer with data_dir, filenames, or df, or pass a dataframe to this function." - dfs = [utils.load_data(fname) for fname in self.filenames] - else: - dfs = [df] - - results_df = [] - - for df in dfs: - assert speaker_column in df.columns, f"Speaker column {speaker_column} not found in dataframe." - assert feature_column in df.columns, f"Feature column {feature_column} not found in dataframe." - - if dropna: - df = df.dropna(subset=[feature_column]) - - feature_sum = df[feature_column].sum() - for speaker in df[speaker_column].unique(): - speaker_df = df[df[speaker_column] == speaker] - - result = { - "speaker": speaker, - f"raw_speaker_{feature_column}": speaker_df[feature_column].sum(), - f"avg_speaker_{feature_column}": speaker_df[feature_column].mean(), - f"prop_speaker_{feature_column}": speaker_df[feature_column].sum() / feature_sum, - } - - results_df.append(result) - - results_df = pd.DataFrame(results_df) - return results_df - - def report_statistics( - self, - feature_column: str, - df: pd.DataFrame = None, - speaker_column: str = None, - value_as: str = "raw", # raw, avg, prop, all - dropna: bool = False, - ) -> str: - """ - Report statistics for a feature across all speakers. - - Arguments: - feature_column (str): name of column containing feature to compute statistics for - df (pd.DataFrame): pandas dataframe. If None, then use self.dfs from constructor - speaker_column (str): name of column containing speaker names - value_as (str): raw, avg, prop, all - dropna (bool): drop rows with NaN values in feature_column - - Returns: - str: string representation of statistics - """ - - - assert value_as in ["raw", "avg", "prop", "all"], f"Invalid value_as {value_as}. Must be one of ['raw', 'avg', 'prop']." - - results_df = self._compute_statistics( - speaker_column=speaker_column, - feature_column=feature_column, - df=df, - dropna=dropna - ) - - text = "" - text += f"{feature_column}\n\n" - - if value_as == "raw": - text += "Raw statistics\n" - text += results_df.groupby("speaker")[f"raw_speaker_{feature_column}"].describe().to_string() - text += "\n\n" - - elif value_as == "avg": - text += "Average statistics\n" - text += results_df.groupby("speaker")[f"avg_speaker_{feature_column}"].describe().to_string() - text += "\n\n" - - elif value_as == "prop": - text += "Proportion statistics\n" - text += results_df.groupby("speaker")[f"prop_speaker_{feature_column}"].describe().to_string() - - return text - - - def print_statistics( - self, - feature_column: str, - df: pd.DataFrame = None, - speaker_column: str = None, - value_as: str = "raw", # raw, avg, prop - dropna: bool = False, - ): - """ - Print statistics for a feature across all speakers. - - Arguments: - feature_column (str): name of column containing feature to compute statistics for - df (pd.DataFrame): pandas dataframe. If None, then use self.dfs from constructor - speaker_column (str): name of column containing speaker names - value_as (str): raw, avg, prop - dropna (bool): drop rows with NaN values in feature_column - - Returns: - None - """ - text = self.report_statistics( - df=df, - feature_column=feature_column, - speaker_column=speaker_column, - value_as=value_as, - dropna=dropna - ) - print(text) - - def plot_statistics( - self, - feature_column: str, - df: pd.DataFrame = None, - speaker_column: str = None, - value_as: str = "raw", # raw, avg, prop, all - dropna: bool = False, - title: str = None, - xlabel: str = None, - ylabel: str = None, - save_path: str = None, - xrange: Tuple[float, float] = None, - yrange: Tuple[float, float] = None, - label_mapping: Dict[str, str] = None - ): - """ - Plot statistics for a feature across all speakers. - - Arguments: - feature_column (str): name of column containing feature to compute statistics for - df (pd.DataFrame): pandas dataframe. If None, then use self.dfs from constructor - speaker_column (str): name of column containing speaker names - value_as (str): raw, avg, prop, all - dropna (bool): drop rows with NaN values in feature_column - title (str): title of plot - xlabel (str): x-axis label - ylabel (str): y-axis label - save_path (str): path to save plot - xrange (Tuple[float, float]): x-axis range - yrange (Tuple[float, float]): y-axis range - label_mapping (Dict[str, str]): mapping from speaker names to labels - - Returns: - None - """ - - assert value_as in ["raw", "avg", "prop", "all"], f"Invalid value_as {value_as}. Must be one of ['raw', 'avg', 'prop']." - sns.set_theme(style="whitegrid") - sns.set_context("paper", font_scale=1.5, rc={"lines.linewidth": 2.5}) - plt.rcParams["font.family"] = "serif" - - results_df = self._compute_statistics( - speaker_column=speaker_column, - feature_column=feature_column, - df=df, - dropna=dropna - ) - - if label_mapping is not None: - results_df["speaker"] = results_df["speaker"].map(label_mapping) - - y = f"{value_as}_speaker_{feature_column}" - - ax = sns.boxplot( - x="speaker", - y=y, - data=results_df - ) - - if title is not None: - ax.set_title(title) - - if ylabel is not None: - ax.set_ylabel(ylabel) - - if xlabel is not None: - ax.set_xlabel(xlabel) - - if xrange is not None: - ax.set_xlim(xrange) - - if yrange is not None: - ax.set_ylim(yrange) - - if save_path is not None: - plt.savefig(save_path, bbox_inches="tight") - - else: - plt.show() - - plt.clf() \ No newline at end of file diff --git a/edu_convokit/analyzers/temporal_analyzer.py b/edu_convokit/analyzers/temporal_analyzer.py deleted file mode 100644 index c7d1e2a..0000000 --- a/edu_convokit/analyzers/temporal_analyzer.py +++ /dev/null @@ -1,240 +0,0 @@ -from typing import Tuple, List, Dict, Union -import pandas as pd -import seaborn as sns -import matplotlib.pyplot as plt -import os -import tqdm -from edu_convokit import utils - -from edu_convokit.analyzers import analyzer - -class TemporalAnalyzer(analyzer.Analyzer): - - def _compute_statistics( - self, - speaker_column: str, - feature_column: str, - dfs: Union[List[pd.DataFrame], pd.DataFrame] = None, - num_bins: int = 10, - dropna: bool = False, - # additional_columns: List[str] = None, - ) -> pd.DataFrame: - """ - Compute statistics for a feature across all speakers. - - Arguments: - speaker_column: name of column containing speaker names - feature_column: name of column containing feature to compute statistics for - """ - - if dfs is None: - dfs = self.dfs - - if isinstance(dfs, pd.DataFrame): - dfs = [dfs] - - results_df = [] - - for num_df, df in enumerate(dfs): - assert speaker_column in df.columns, f"Speaker column {speaker_column} not found in dataframe." - assert feature_column in df.columns, f"Feature column {feature_column} not found in dataframe." - - # Split the session into chunks - df_chunks = utils.split_dataframe(df=df, num_bins=num_bins) - - for chunk_i, df_chunk in enumerate(df_chunks): - if dropna: - df_chunk = df_chunk.dropna(subset=[feature_column]) - - feature_sum = df_chunk[feature_column].sum() - for speaker in df_chunk[speaker_column].unique(): - speaker_df = df_chunk[df_chunk[speaker_column] == speaker] - result = { - "speaker": speaker, - "chunk": chunk_i, - f"raw_speaker_{feature_column}": speaker_df[feature_column].sum(), - f"avg_speaker_{feature_column}": speaker_df[feature_column].mean(), - f"prop_speaker_{feature_column}": speaker_df[feature_column].sum() / feature_sum, - } - results_df.append(result) - - if self.max_transcripts is not None and num_df >= self.max_transcripts - 1: - break - - results_df = pd.DataFrame(results_df) - return results_df - - def report_statistics( - self, - feature_column: str, - dfs: Union[List[pd.DataFrame], pd.DataFrame] = None, - speaker_column: str = None, - num_bins: int = 10, - value_as: str = "raw", # raw, avg, prop, all - dropna: bool = False, - ) -> str: - """ - Report statistics for a feature across all speakers across the bins. - - Arguments: - feature_column (str): name of column containing feature to compute statistics for - dfs (Union[List[pd.DataFrame], pd.DataFrame]): list of dataframes. If None, use self.dfs from constructor - speaker_column (str): name of column containing speaker names - num_bins (int): number of bins to split the data into - value_as (str): raw, avg, prop, all - dropna (bool): drop rows with NaN values in feature_column - - Returns: - str: string representation of statistics - """ - assert value_as in ["raw", "avg", "prop", "all"], f"Invalid value_as {value_as}. Must be one of ['raw', 'avg', 'prop']." - - results_df = self._compute_statistics( - speaker_column=speaker_column, - feature_column=feature_column, - dropna=dropna, - num_bins=num_bins, - dfs=dfs, - ) - - text = "" - text += f"{feature_column}\n\n" - - for chunk_i in range(num_bins): - text += f"Chunk {chunk_i}\n\n" - - if value_as == "raw": - text += "Raw statistics\n" - text += results_df[results_df["chunk"] == chunk_i].groupby("speaker")[f"raw_speaker_{feature_column}"].describe().to_string() - - elif value_as == "avg": - text += "Average statistics\n" - text += results_df[results_df["chunk"] == chunk_i].groupby("speaker")[f"avg_speaker_{feature_column}"].describe().to_string() - - elif value_as == "prop": - text += "\n\nProportion statistics\n" - text += results_df[results_df["chunk"] == chunk_i].groupby("speaker")[f"prop_speaker_{feature_column}"].describe().to_string() - - text += "\n\n" - - return text - - def print_statistics( - self, - feature_column: str, - speaker_column: str = None, - value_as: str = "raw", # raw, avg, prop - dropna: bool = False, - dfs: Union[List[pd.DataFrame], pd.DataFrame] = None, - ): - """ - Print statistics for a feature across all speakers. - - Arguments: - feature_column (str): name of column containing feature to compute statistics for - speaker_column (str): name of column containing speaker names - value_as (str): raw, avg, prop - dropna (bool): drop rows with NaN values in feature_column - dfs (Union[List[pd.DataFrame], pd.DataFrame]): list of dataframes. If None, use self.dfs from constructor - - Returns: - None - """ - text = self.report_statistics( - feature_column=feature_column, - speaker_column=speaker_column, - value_as=value_as, - dropna=dropna, - dfs=dfs, - ) - print(text) - - - def plot_temporal_statistics( - self, - feature_column: str, - dfs: Union[List[pd.DataFrame], pd.DataFrame] = None, - speaker_column: str = None, - value_as: str = "raw", # raw, avg, prop - num_bins: int = 10, - dropna: bool = False, - title: str = None, - xlabel: str = None, - ylabel: str = None, - save_path: str = None, - hue: str = None, - xrange: Tuple[float, float] = None, - yrange: Tuple[float, float] = None, - label_mapping: Dict[str, str] = None - ): - """ - Plot statistics for a feature across all speakers across bins - - Arguments: - feature_column (str): name of column containing feature to compute statistics for - dfs (Union[List[pd.DataFrame], pd.DataFrame]): list of dataframes. If None, use self.dfs from constructor - speaker_column (str): name of column containing speaker names - value_as (str): raw, avg, prop - num_bins (int): number of bins to split the data into - dropna (bool): drop rows with NaN values in feature_column - title (str): title of plot - xlabel (str): x-axis label - ylabel (str): y-axis label - save_path (str): path to save plot - hue (str): name of column to use for hue - xrange (Tuple[float, float]): x-axis range - yrange (Tuple[float, float]): y-axis range - label_mapping (Dict[str, str]): mapping from original label to new label - - Returns: - None - """ - - sns.set_theme(style="whitegrid") - sns.set_context("paper", font_scale=1.5, rc={"lines.linewidth": 2.5}) - plt.rcParams["font.family"] = "serif" - - assert value_as in ["raw", "avg", "prop"], f"Invalid value_as {value_as}. Must be one of ['raw', 'avg', 'prop']." - - results_df = self._compute_statistics( - speaker_column=speaker_column, - feature_column=feature_column, - dropna=dropna, - num_bins=num_bins, - dfs=dfs, - ) - - if label_mapping is not None: - results_df["speaker"] = results_df["speaker"].map(label_mapping) - - y = f"{value_as}_speaker_{feature_column}" - - if hue is None: - hue = "speaker" - - ax = sns.lineplot( - x="chunk", - y=y, - data=results_df, - hue=hue - ) - - if title is not None: - ax.set_title(title) - if ylabel is not None: - ax.set_ylabel(ylabel) - if xlabel is not None: - ax.set_xlabel(xlabel) - - if xrange is not None: - ax.set_xlim(xrange) - - if yrange is not None: - ax.set_ylim(yrange) - - if save_path is not None: - plt.savefig(save_path, bbox_inches="tight") - else: - plt.show() - - plt.clf() diff --git a/edu_convokit/annotation/__init__.py b/edu_convokit/annotation/__init__.py deleted file mode 100644 index b86e619..0000000 --- a/edu_convokit/annotation/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .annotator import ( - Annotator -) \ No newline at end of file diff --git a/edu_convokit/annotation/annotator.py b/edu_convokit/annotation/annotator.py deleted file mode 100644 index 1406240..0000000 --- a/edu_convokit/annotation/annotator.py +++ /dev/null @@ -1,505 +0,0 @@ -import pandas as pd -from typing import List, Union, Tuple -import spacy -import logging -import torch -from transformers import AutoTokenizer, AutoModelForSequenceClassification -from edu_convokit import uptake_utils -from scipy.special import softmax -import logging -import re - -from edu_convokit.constants import ( - STUDENT_REASONING_HF_MODEL_NAME, - STUDENT_REASONING_MIN_NUM_WORDS, - STUDENT_REASONING_MAX_INPUT_LENGTH, - FOCUSING_HF_MODEL_NAME, - FOCUSING_MIN_NUM_WORDS, - FOCUSING_MAX_INPUT_LENGTH, - UPTAKE_HF_MODEL_NAME, - UPTAKE_MIN_NUM_WORDS_SPEAKER_A, - HIGH_UPTAKE_THRESHOLD, - UPTAKE_MAX_INPUT_LENGTH, - MATH_PREFIXES, - MATH_WORDS, - TEACHER_TALK_MOVES_HF_MODEL_NAME, - STUDENT_TALK_MOVES_HF_MODEL_NAME -) - - -class Annotator: - """ - Annotator class for edu-convokit. Contains methods for annotating data. - """ - def __init__(self): - pass - - def _populate_analysis_unit( - self, - df: pd.DataFrame, - analysis_unit: str, - text_column: str, - time_start_column: str, - time_end_column: str, - output_column: str, - ) -> pd.DataFrame: - """ - Populate output_column with number of words, sentences, or timestamps. - """ - - if analysis_unit == "words": - df[output_column] = df[text_column].str.split().str.len() - elif analysis_unit == "sentences": - # Use nlp to split text into sentences - nlp = spacy.load("en_core_web_sm") - df[output_column] = df[text_column].apply(lambda x: len(list(nlp(x).sents))) - elif analysis_unit == "timestamps": - # Check type of time_start_column and time_end_column - if df[time_start_column].dtype != "float64": - df[time_start_column] = df[time_start_column].astype("float64") - if df[time_end_column].dtype != "float64": - df[time_end_column] = df[time_end_column].astype("float64") - df[output_column] = df[time_end_column] - df[time_start_column] - else: - raise ValueError(f"Analysis unit {analysis_unit} not supported.") - return df - - def get_talktime( - self, - df: pd.DataFrame, - text_column: str = None, - analysis_unit: str = "words", # words, sentences, timestamps - representation: str = "frequency", # frequency - time_start_column: str = None, - time_end_column: str = None, - output_column: str = "talktime_analysis", - ) -> pd.DataFrame: - """ - Analyze talk time of speakers in a dataframe. Return original df and new dataframe with talk time analysis. - - Arguments: - df (pd.DataFrame): dataframe to analyze - text_column (str): name of column containing text to analyze. Only required if analysis_unit is words or sentences. - analysis_unit (str): unit to analyze. Choose from "words", "sentences", "timestamps". - representation (str): representation of talk time. Choose from "frequency", "proportion". - time_start_column (str): name of column containing start time. Only required if analysis_unit is timestamps. - time_end_column (str): name of column containing end time. Only required if analysis_unit is timestamps. - output_column (str): name of column to store result. - - Returns: - df (pd.DataFrame): dataframe with talk time analysis - """ - assert analysis_unit in ["words", "sentences", "timestamps"], f"Analysis unit {analysis_unit} not supported." - assert representation in ["frequency", "proportion"], f"Representation {representation} not supported." - - if text_column is not None and analysis_unit in ["words", "sentences"]: - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - - if time_start_column is not None and analysis_unit == "timestamps": - assert time_start_column in df.columns, f"Time start column {time_start_column} not found in dataframe." - assert time_end_column in df.columns, f"Time end column {time_end_column} not found in dataframe." - - # First populate output_column with number of words, sentences, or timestamps - df = self._populate_analysis_unit(df, analysis_unit, text_column, time_start_column, time_end_column, output_column) - - # Return dataframe with talk time analysis - if representation == 'proportion': - total = df[output_column].sum() - df[output_column] = df[output_column] / total - - return df - - # HF models - def _initialize(self, model_shortname): - # Load model directly - tokenizer = AutoTokenizer.from_pretrained(model_shortname) - model = AutoModelForSequenceClassification.from_pretrained(model_shortname) - model.eval() - return tokenizer, model - - def _get_classification_predictions( - self, - df: pd.DataFrame, - text_column: str, - output_column: str, - model_name: str, - min_num_words: int = 0, - max_num_words: int = None, - speaker_column: str = None, - speaker_value: Union[str, List[str]] = None, - ) -> pd.DataFrame: - """ - Get classification predictions for a dataframe. - - Arguments: - df: pandas dataframe - text_column: name of column containing text to get predictions for - output_column: name of column to store predictions - speaker_column: name of column that contains speaker names. - speaker_value: if speaker_column is not None, only get predictions for this speaker. - model_name: name of model to use. - """ - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - - if output_column in df.columns: - logging.warning(f"Target column {output_column} already exists in dataframe. Skipping.") - return df - - if speaker_column is not None: - assert speaker_column in df.columns, f"Speaker column {speaker_column} not found in dataframe." - - if isinstance(speaker_value, str): - speaker_value = [speaker_value] - - tokenizer, model = self._initialize(model_name) - - # Get predictions - predictions = [] - for i, row in df.iterrows(): - # Skip if speaker doesn't match - if speaker_column is not None: - if row[speaker_column] not in speaker_value: - predictions.append(None) - continue - - text = row[text_column] - - # Skip if text is too short - if len(text.split()) < min_num_words: - predictions.append(None) - continue - - with torch.no_grad(): - inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=max_num_words) - outputs = model(**inputs) - logits = outputs.logits - predictions.append(logits.argmax().item()) - - df[output_column] = predictions - return df - - def get_student_reasoning( - self, - df: pd.DataFrame, - text_column: str, - output_column: str, - speaker_column: str = None, - speaker_value: Union[str, List[str]] = None, - ) -> pd.DataFrame: - """ - Get student reasoning predictions for a dataframe. - - Arguments: - df (pd.DataFrame): dataframe to analyze - text_column (str): name of column containing text to analyze - output_column (str): name of column to store result - speaker_column (str): name of column containing speaker names. Only required if speaker_value is not None. - speaker_value (str or list): if speaker_column is not None, only get predictions for this speaker. - - Returns: - df (pd.DataFrame): dataframe with student reasoning predictions - """ - - # Print out note that the predictions should only be run on student reasoning as that's what the model was trained on. - logging.warning("""Note: This model was trained on student reasoning, so it should be used on student utterances. - For more details on the model, see https://arxiv.org/pdf/2211.11772.pdf""") - - return self._get_classification_predictions( - df=df, - text_column=text_column, - output_column=output_column, - model_name=STUDENT_REASONING_HF_MODEL_NAME, - min_num_words=STUDENT_REASONING_MIN_NUM_WORDS, - max_num_words=STUDENT_REASONING_MAX_INPUT_LENGTH, - speaker_column=speaker_column, - speaker_value=speaker_value - ) - - def get_teacher_talk_moves( - self, - df: pd.DataFrame, - text_column: str, - output_column: str, - speaker_column: str = None, - speaker_value: Union[str, List[str]] = None, - ) -> pd.DataFrame: - """ - Get teacher talk move predictions for a dataframe. - - Arguments: - df (pd.DataFrame): dataframe to analyze - text_column (str): name of column containing text to analyze - output_column (str): name of column to store result - speaker_column (str): name of column containing speaker names. Only required if speaker_value is not None. - speaker_value (str or list): if speaker_column is not None, only get predictions for this speaker. - - Returns: - df (pd.DataFrame): dataframe with teacher talk move predictions - """ - - logging.warning("""Note: This model was trained on teacher talk moves, so it should be used on teacher utterances. - For more details on the model, see https://github.com/SumnerLab/TalkMoves/tree/main""") - - return self._get_classification_predictions( - df=df, - text_column=text_column, - output_column=output_column, - model_name=TEACHER_TALK_MOVES_HF_MODEL_NAME, - min_num_words=0, - max_num_words=None, - speaker_column=speaker_column, - speaker_value=speaker_value - ) - - def get_student_talk_moves( - self, - df: pd.DataFrame, - text_column: str, - output_column: str, - speaker_column: str = None, - speaker_value: Union[str, List[str]] = None, - ) -> pd.DataFrame: - """ - Get student talk move predictions for a dataframe. - - Arguments: - df (pd.DataFrame): dataframe to analyze - text_column (str): name of column containing text to analyze - output_column (str): name of column to store result - speaker_column (str): name of column containing speaker names. Only required if speaker_value is not None. - speaker_value (str or list): if speaker_column is not None, only get predictions for this speaker. - - Returns: - df (pd.DataFrame): dataframe with teacher talk move predictions - """ - - logging.warning("""Note: This model was trained on student talk moves, so it should be used on student utterances. - For more details on the model, see https://github.com/SumnerLab/TalkMoves/tree/main""") - - return self._get_classification_predictions( - df=df, - text_column=text_column, - output_column=output_column, - model_name=STUDENT_TALK_MOVES_HF_MODEL_NAME, - min_num_words=0, - max_num_words=None, - speaker_column=speaker_column, - speaker_value=speaker_value - ) - - def get_focusing_questions( - self, - df: pd.DataFrame, - text_column: str, - output_column: str, - speaker_column: str = None, - speaker_value: Union[str, List[str]] = None, - ) -> pd.DataFrame: - """ - Get focusing question predictions for a dataframe. - - Arguments: - df (pd.DataFrame): dataframe to analyze - text_column (str): name of column containing text to analyze - output_column (str): name of column to store result - speaker_column (str): name of column containing speaker names. Only required if speaker_value is not None. - speaker_value (str or list): if speaker_column is not None, only get predictions for this speaker. - - Returns: - df (pd.DataFrame): dataframe with focusing question predictions - """ - - logging.warning("""Note: This model was trained on teacher focusing questions, so it should be used on teacher utterances. - For more details on the model, see https://aclanthology.org/2022.bea-1.27.pdf""") - - return self._get_classification_predictions( - df=df, - text_column=text_column, - output_column=output_column, - model_name=FOCUSING_HF_MODEL_NAME, - min_num_words=FOCUSING_MIN_NUM_WORDS, - max_num_words=FOCUSING_MAX_INPUT_LENGTH, - speaker_column=speaker_column, - speaker_value=speaker_value - ) - - def _get_uptake_prediction(self, model, device, instance): - instance["attention_mask"] = [[1] * len(instance["input_ids"])] - for key in ["input_ids", "token_type_ids", "attention_mask"]: - instance[key] = torch.tensor(instance[key]).unsqueeze(0) # Batch size = 1 - instance[key] = instance[key].to(device) - - output = model(input_ids=instance["input_ids"], - attention_mask=instance["attention_mask"], - token_type_ids=instance["token_type_ids"], - return_pooler_output=False) - return output - - def get_uptake( - self, - df: pd.DataFrame, - text_column: str, - output_column: str, - speaker_column: str, # Mandatory because we are interested in measuring speaker2's uptake of speaker1's words - speaker1: Union[str, List[str]], # speaker1 is the student - speaker2: Union[str, List[str]], # speaker2 is the teacher - result_type: str = "binary", # raw: uptake score, binary: 1 if uptake score > threshold, 0 otherwise - ) -> pd.DataFrame: - """ - Get uptake predictions for a dataframe. - Following the implementation here: - https://huggingface.co/ddemszky/uptake-model/blob/main/handler.py - - Arguments: - df (pd.DataFrame): dataframe to analyze - text_column (str): name of column containing text to analyze - output_column (str): name of column to store result - speaker_column (str): name of column containing speaker names. - speaker1 (str or list): speaker1 is the student - speaker2 (str or list): speaker2 is the teacher - result_type (str): raw or binary - - Returns: - df (pd.DataFrame): dataframe with uptake predictions - """ - - logging.warning("""Note: This model was trained on teacher's uptake of student's utterances. So, speaker1 should be the student and speaker2 should be the teacher. - For more details on the model, see https://arxiv.org/pdf/2106.03873.pdf""") - - logging.warning("""Note: It's recommended that you merge utterances from the same speaker before running this model. You can do that with edu_convokit.text_preprocessing.merge_utterances_from_same_speaker.""") - - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - assert speaker_column in df.columns, f"Speaker column {speaker_column} not found in dataframe." - - if output_column in df.columns: - logging.warning(f"Target column {output_column} already exists in dataframe. Skipping.") - return df - - if isinstance(speaker1, str): - speaker1 = [speaker1] - - if isinstance(speaker2, str): - speaker2 = [speaker2] - - # Uptake model is run slightly differently. So this is a separate function. - input_builder, device, model = uptake_utils._initialize(UPTAKE_HF_MODEL_NAME) - - predictions = [] - - with torch.no_grad(): - for i, row in df.iterrows(): - if i == 0: - predictions.append(None) - continue - - s1 = df[speaker_column].iloc[i-1] - s2 = df[speaker_column].iloc[i] - textA = df[text_column].iloc[i-1] - textB = df[text_column].iloc[i] - - # Skip if text is too short - if len(textA.split()) < UPTAKE_MIN_NUM_WORDS_SPEAKER_A: - predictions.append(None) - continue - - if s1 in speaker1 and s2 in speaker2: - textA = uptake_utils._get_clean_text(textA, remove_punct=False) - textB = uptake_utils._get_clean_text(textB, remove_punct=False) - - instance = input_builder.build_inputs([textA], textB, - max_length=UPTAKE_MAX_INPUT_LENGTH, - input_str=True) - output = self._get_uptake_prediction(model, device, instance) - uptake_score = softmax(output["nsp_logits"][0].tolist())[1] - if result_type == "binary": - uptake_score = 1 if uptake_score > HIGH_UPTAKE_THRESHOLD else 0 - - predictions.append(uptake_score) - else: - predictions.append(None) - df[output_column] = predictions - - return df - - # Math density - def _load_math_terms(self): - """ - modify_stem <- function(s) { - return(paste0('(^|[^a-zA-Z])', s,'(s|es)?([^a-zA-Z]|$)')) - } - - modify_list <- c('sum', 'arc', 'mass', 'digit', 'graph', - 'liter', 'gram', 'add', 'angle', 'scale', - 'data', 'array', 'ruler', 'meter', 'total', - 'unit', 'prism', 'median', 'ratio', 'area') - - # Modify those entries in the glossary - gloss[gloss %in% modify_list] <- modify_stem(gloss[gloss %in% modify_list]) - - For every term in MATH_WORDS, we modify the term to include the regex pattern that matches the term and its plural form if it is in MATH_PREFIXES. - """ - math_terms = [] - for term in MATH_WORDS: - if term in MATH_PREFIXES: - math_terms.append(f"(^|[^a-zA-Z]){term}(s|es)?([^a-zA-Z]|$)") - else: - math_terms.append(term) - return math_terms - - def get_math_density( - self, - df: pd.DataFrame, - text_column: str, - output_column: str, - count_type: str = "total", # total - result_type: str = "total", # total, proportion - ) -> pd.DataFrame: - """ - Get math density for a dataframe. Following the implementation here: https://edworkingpapers.com/sites/default/files/ai23-855.pdf - - Arguments: - df (pd.DataFrame): dataframe to analyze - text_column (str): name of column containing text to analyze - output_column (str): name of column to store result - count_type (str): total or unique - result_type (str): total or proportion - - Returns: - df (pd.DataFrame): dataframe with math density analysis - """ - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - # assert count_type in ["total", "unique"], f"Count type {count_type} not supported. Choose from 'total' or 'unique'." - assert result_type in ["total", "proportion"], f"Result type {result_type} not supported. Choose from 'total' or 'proportion'." - - if output_column in df.columns: - logging.warning(f"Result column {output_column} already exists in dataframe. Skipping.") - return df - - math_terms = sorted(self._load_math_terms(), key=len, reverse=True) - - df = df.copy() - df[output_column] = 0 - - # Speaker 2 unique terms found - for i, utt in df.iterrows(): - text = utt[text_column] - - # Count number of math terms in text - total = 0 - - # Check if term is already matched - matched_positions = set() - - for term in math_terms: - matches = list(re.finditer(term, text, re.IGNORECASE)) - matches = [match for match in matches if not any(match.start() in range(existing[0], existing[1]) for existing in matched_positions)] - count = len(matches) - total += count - - matched_positions.update((match.start(), match.end()) for match in matches) - - # Store result - df.loc[i, output_column] = total - - return df - diff --git a/edu_convokit/constants.py b/edu_convokit/constants.py deleted file mode 100644 index 5f9c430..0000000 --- a/edu_convokit/constants.py +++ /dev/null @@ -1,376 +0,0 @@ -VALID_FILE_EXTENSIONS = [".json", ".csv", ".xlsx"] -CONVERSATION_PROMPTS_DIR = "prompts/conversation" -UTTERANCE_PROMPTS_DIR = "prompts/utterance" -RESULTS_DIR = "results" - -OUTPUT_TALKTIME_WORDS = "talktime_words" -OUTPUT_TALKTIME_TIMESTAMP = "talktime_timestamp" -OUTPUT_MATH_DENSITY = "math_density" -OUTPUT_UPTAKE = "uptake" -OUTPUT_STUDENT_REASONING = "student_reasoning" -OUTPUT_FOCUSING_QUESTIONS = "focusing_questions" - -# OPENAI MODEL CONTEXT LENGTH -# Copied from https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo -OPENAI_MODEL_2_CONTEXT_LENGTH = { - "gpt-4": 8_192, - "gpt-4-32k": 32_768, - "gpt-4-0613": 8_192, - "gpt-4-32k-0613": 32_768, - "gpt-3.5-turbo": 4_096, - "gpt-3.5-turbo-16k": 16_385, - "gpt-3.5-turbo-instruct": 4_096, - "gpt-3.5-turbo-0613": 4_096, - "gpt-3.5-turbo-16k-0613": 16_385, - "gpt-3.5-turbo-0301": 4_096, -} - -# DATASET SPECIFIC -AMBER_DATADIR = "data/amber" -AMBER_SPEAKER_COLUMN = "speaker" -AMBER_TEXT_COLUMN = "dialogue" -AMBER_TEACHER = ["Tutor"] -AMBER_STUDENT = ["Student"] -AMBER_START_TIME_COLUMN = "start" -AMBER_END_TIME_COLUMN = "stop" - -NCTE_DATADIR = "data/ncte_sessions" -NCTE_SPEAKER_COLUMN = "speaker" -NCTE_TEXT_COLUMN = "text" -NCTE_TEACHER = ["teacher"] -NCTE_STUDENT = ['student', 'multiple students'] - -TALKMOVES_DATADIR = "data/talkmoves" -TALKMOVES_SPEAKER_COLUMN = "Speaker" -TALKMOVES_TEXT_COLUMN = "Sentence" -TALKMOVES_TEACHER = ["T"] -TALKMOVES_STUDENT = ["S", "SS"] - -# UPTAKE -UPTAKE_HF_MODEL_NAME = "ddemszky/uptake-model" -UPTAKE_MIN_NUM_WORDS_SPEAKER_A = 5 -HIGH_UPTAKE_THRESHOLD = 0.8 -UPTAKE_MAX_INPUT_LENGTH = 120 - -# STUDENT REASONING -STUDENT_REASONING_HF_MODEL_NAME = "ddemszky/student-reasoning" -STUDENT_REASONING_MIN_NUM_WORDS = 8 -STUDENT_REASONING_MAX_INPUT_LENGTH = 128 - -# FOCUSING QUESTIONS -FOCUSING_HF_MODEL_NAME = "ddemszky/focusing-questions" -FOCUSING_MIN_NUM_WORDS = 0 -FOCUSING_MAX_INPUT_LENGTH = 128 - -# MATH DENSITY -MATH_PREFIXES = [ - "sum", - "arc", - "mass", - "digit", - "graph", - "liter", - "gram", - "add", - "angle", - "scale", - "data", - "array", - "ruler", - "meter", - "total", - "unit", - "prism", - "median", - "ratio", - "area", -] - -MATH_WORDS = [ - "absolute value", - "area", - "average", - "base of", - "box plot", - "categorical", - "coefficient", - "common factor", - "common multiple", - "compose", - "coordinate", - "cubed", - "decompose", - "dependent variable", - "distribution", - "dot plot", - "double number line diagram", - "equivalent", - "equivalent expression", - "ratio", - "exponent", - "frequency", - "greatest common factor", - "gcd", - "height of", - "histogram", - "independent variable", - "interquartile range", - "iqr", - "least common multiple", - "long division", - "mean absolute deviation", - "median", - "negative number", - "opposite vertex", - "parallelogram", - "percent", - "polygon", - "polyhedron", - "positive number", - "prism", - "pyramid", - "quadrant", - "quadrilateral", - "quartile", - "rational number", - "reciprocal", - "equality", - "inequality", - "squared", - "statistic", - "surface area", - "identity property", - "addend", - "unit", - "number sentence", - "make ten", - "take from ten", - "number bond", - "total", - "estimate", - "hashmark", - "meter", - "number line", - "ruler", - "centimeter", - "base ten", - "expanded form", - "hundred", - "thousand", - "place value", - "number disk", - "standard form", - "unit form", - "word form", - "tens place", - "algorithm", - "equation", - "simplif", - "addition", - "subtract", - "array", - "even number", - "odd number", - "repeated addition", - "tessellat", - "whole number", - "number path", - "rectangle", - "square", - "bar graph", - "data", - "degree", - "line plot", - "picture graph", - "scale", - "survey", - "thermometer", - "estimat", - "tape diagram", - "value", - "analog", - "angle", - "parallel", - "partition", - "pentagon", - "right angle", - "cube", - "digital", - "quarter of", - "tangram", - "circle", - "hexagon", - "half circle", - "half-circle", - "quarter circle", - "quarter-circle", - "semicircle", - "semi-circle", - "rectang", - "rhombus", - "trapezoid", - "triangle", - "commutative", - "equal group", - "distributive", - "divide", - "division", - "multipl", - "parentheses", - "quotient", - "rotate", - "unknown", - "add", - "capacity", - "continuous", - "endpoint", - "gram", - "interval", - "kilogram", - "volume", - "liter", - "milliliter", - "approximate", - "area model", - "square unit", - "unit square", - "geometr", - "equivalent fraction", - "fraction form", - "fractional unit", - "unit fraction", - "unit interval", - "measur", - "graph", - "scaled graph", - "diagonal", - "perimeter", - "regular polygon", - "tessellate", - "tetromino", - "heptagon", - "octagon", - "digit", - "expression", - "sum", - "kilometer", - "mass", - "mixed unit", - "length", - "measure", - "simplify", - "associative", - "composite", - "divisible", - "divisor", - "partial product", - "prime number", - "remainder", - "acute", - "arc", - "collinear", - "equilateral", - "intersect", - "isosceles", - "symmetry", - "line segment", - "line", - "obtuse", - "perpendicular", - "protractor", - "scalene", - "straight angle", - "supplementary angle", - "vertex", - "common denominator", - "denominator", - "fraction", - "mixed number", - "numerator", - "whole", - "decimal expanded form", - "decimal", - "hundredth", - "tenth", - "customary system of measurement", - "customary unit", - "gallon", - "metric", - "metric unit", - "ounce", - "pint", - "quart", - "convert", - "distance", - "millimeter", - "thousandth", - "hundredths", - "conversion factor", - "decimal fraction", - "multiplier", - "equivalence", - "multiple", - "product", - "benchmark fraction", - "cup", - "pound", - "yard", - "whole unit", - "decimal divisor", - "factors", - "bisect", - "cubic units", - "hierarchy", - "unit cube", - "attribute", - "kite", - "bisector", - "solid figure", - "square units", - "dimension", - "axis", - "ordered pair", - "angle measure", - "horizontal", - "vertical", - "categorical data", - "lcm", - "measure of center", - "meters per second", - "numerical", - "solution", - "unit price", - "unit rate", - "variability", - "variable", -] - -# Talk Moves - Coding Manual: https://github.com/SumnerLab/TalkMoves/blob/main/Coding%20Manual.pdf -# Teacher Talk Moves -# Model: https://huggingface.co/YaHi/teacher_electra_small -# Paper: https://github.com/SumnerLab/TalkMoves -TEACHER_TALK_MOVES_HF_MODEL_NAME = "YaHi/teacher_electra_small" -TEACHER_TALK_MOVES_LABEL_2_NL = { - 0: "No Talk Move Detected", - 1: "Keeping Everyone Together", - 2: "Getting Students to Related to Another Student's Idea", - 3: "Restating", - # Note, in the original coding manual, revoicing and pressing for accuracy are flipped (5 and 4); - # However, upon inspection of their dataset, it appears that revoicing should be 4 and pressing for accuracy should be 5. - # Therefore, we have used the following mapping: - 4: "Revoicing", - 5: "Pressing for Accuracy", - 6: "Pressing for Reasoning", -} - -# Student Talk Moves -# Model: https://huggingface.co/YaHi/student_electra_small -# Paper: https://github.com/SumnerLab/TalkMoves -STUDENT_TALK_MOVES_HF_MODEL_NAME = "YaHi/student_electra_small" -STUDENT_TALK_MOVES_LABEL_2_NL = { - 0: "No Talk Move Detected", - 1: "Relating to Another Student", - 2: "Asking for More Information", - 3: "Making a Claim", - 4: "Providing Evidence or Reasoning" -} \ No newline at end of file diff --git a/edu_convokit/preprocessors/__init__.py b/edu_convokit/preprocessors/__init__.py deleted file mode 100644 index b6fb856..0000000 --- a/edu_convokit/preprocessors/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -from .text_preprocessor import ( - TextPreprocessor, -) - -from .token_preprocessor import ( - TokenPreprocessor, -) \ No newline at end of file diff --git a/edu_convokit/preprocessors/text_preprocessor.py b/edu_convokit/preprocessors/text_preprocessor.py deleted file mode 100644 index 3147eea..0000000 --- a/edu_convokit/preprocessors/text_preprocessor.py +++ /dev/null @@ -1,220 +0,0 @@ -import pandas as pd -from typing import List, Union, Tuple -import re -import spacy - - -class TextPreprocessor: - def __init__(self): - pass - - def _add_subnames( - self, - names: Union[str, List[str]], - replacement_names: Union[str, List[str]] - ) -> Tuple[List[str], List[str]]: - """ - Add subnames (space-separated) of names to additionally anonymize. - """ - - if isinstance(names, str): - names = [names] - if isinstance(replacement_names, str): - replacement_names = [replacement_names] - - new_names = [] - new_replacement_names = [] - for name, replacement_name in zip(names, replacement_names): - # Keep original names - new_names.append(name) - new_replacement_names.append(replacement_name) - name_parts = name.split() - if len(name_parts) > 1: - for name_part in name_parts: # Note if name_part is a single letter, it will be anonymized - new_names.append(name_part) - new_replacement_names.append(replacement_name) - - return new_names, new_replacement_names - - def anonymize_known_names( - self, - df: pd.DataFrame, - text_column: str, - names: Union[str, List[str]], - replacement_names: Union[str, List[str]], - target_text_column: str = None, - ) -> pd.DataFrame: - """ - Anonymize a dataframe with known names. - - Arguments: - df (pd.DataFrame): pandas dataframe - text_column (str): name of column containing text to anonymize - names (Union[str, List[str]]): names to anonymize - replacement_names (Union[str, List[str]]): replacement names - target_text_column (str): name of column to store anonymized text. If None, will overwrite text_column. - - Returns: - pd.DataFrame: dataframe with anonymized text - """ - - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - assert len(names) == len(replacement_names), f"Length of names ({len(names)}) must match length of replacement_names ({len(replacement_names)})." - - if target_text_column is None: - target_text_column = text_column - - # First get subnames (space-separated) of names to additionally anonymize - names, replacement_names = self._add_subnames(names, replacement_names) - - # Make copy in target_text_column - df[target_text_column] = df[text_column] - - # Anonymize text while accounting for word boundaries (e.g. "John" should not match "Johnson" or "C" should not match "Charlie") - for name, replacement_name in zip(names, replacement_names): - # # Use regular expression to match whole word boundaries - regex_pattern = r'\b' + re.escape(name) + r'\b' - df[target_text_column] = df[target_text_column].str.replace( - pat=regex_pattern, - repl=replacement_name, - regex=True - ) - - return df - - def anonymize_unknown_names( - self, - df: pd.DataFrame, - text_column: str, - target_text_column: str = None, - return_names: bool = False, - ) -> pd.DataFrame: - """ - Anonymize a dataframe with unknown names. - - Arguments: - df (pd.DataFrame): pandas dataframe - text_column (str): name of column containing text to anonymize - target_text_column (str): name of column to store anonymized text. If None, will overwrite text_column. - return_names (bool): if True, return names and replacement_names - - Returns: - pd.DataFrame: dataframe with anonymized text - Optional[Tuple[List[str], List[str]]]: names and replacement_names - """ - nlp = spacy.load("en_core_web_sm") - - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - - if target_text_column is None: - target_text_column = text_column - - # Make copy in target_text_column - df[target_text_column] = df[text_column] - - # Find named entities and create names, replacement_names - names = [] - for i, row in df.iterrows(): - doc = nlp(row[text_column]) - names.extend([ent.text for ent in doc.ents if ent.label_ == "PERSON" ]) - names = list(set(names)) # Unique names - replacement_names = [f"[PERSON{i}]" for i in range(len(names))] - - anony_df = self.anonymize_known_names( - df=df, - text_column=text_column, - names=names, - replacement_names=replacement_names, - target_text_column=target_text_column - ) - - if return_names: - return anony_df, (names, replacement_names) - - return anony_df - - def merge_utterances_from_same_speaker( - self, - df: pd.DataFrame, - text_column: str, - speaker_column: str, - target_text_column: str, - ) -> pd.DataFrame: - """ - Create new dataframe where the utterances from same speaker are grouped together. - - Arguments: - df (pd.DataFrame): pandas dataframe - text_column (str): name of column containing text to merge utterances - speaker_column (str): name of column containing speaker names - target_text_column (str): name of column to store merged text - - Returns: - pd.DataFrame: dataframe with merged text - """ - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - assert speaker_column in df.columns, f"Speaker column {speaker_column} not found in dataframe." - - if target_text_column is None: - target_text_column = text_column - - # Cast text_column to string - df[text_column] = df[text_column].astype(str) - - new_df = [] - text = "" - speaker = None - - for i, row in df.iterrows(): - if i == 0: - text += row[text_column] - speaker = row[speaker_column] - else: - if row[speaker_column] == speaker: - text += " " + row[text_column] - else: - new_df.append({ - target_text_column: text, - speaker_column: speaker - }) - text = row[text_column] - speaker = row[speaker_column] - - # Add last row - new_df.append({ - target_text_column: text, - speaker_column: speaker - }) - return pd.DataFrame(new_df) - - def get_speaker_text_format( - self, - df: pd.DataFrame, - text_column: str, - speaker_column: str, - format: str = "{speaker}: {text}", - ) -> str: - """ - Return a string with the speaker and text formatted according to the format string. - - Arguments: - df (pd.DataFrame): pandas dataframe - text_column (str): name of column containing text - speaker_column (str): name of column containing speaker names - format (str): format string - - Returns: - str: formatted string - """ - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - assert speaker_column in df.columns, f"Speaker column {speaker_column} not found in dataframe." - - text = "" - for i, row in df.iterrows(): - text += format.format( - speaker=row[speaker_column], - text=row[text_column]) + "\n" - - # Remove last newline - text = text[:-1] - return text diff --git a/edu_convokit/preprocessors/token_preprocessor.py b/edu_convokit/preprocessors/token_preprocessor.py deleted file mode 100644 index 0d2e2d5..0000000 --- a/edu_convokit/preprocessors/token_preprocessor.py +++ /dev/null @@ -1,155 +0,0 @@ -import pandas as pd -from typing import Any, List, Union, Tuple -import tiktoken - -class TokenPreprocessor: - - def __init__(self, model: str): - self.model = model - pass - - def _format_text_for_token_counting( - self, - text: Union[str, List[str], List[dict]], - ) -> List[dict]: - """ - Format text for token counting. Final output is a list of dictionaries with keys "role" and "content". - """ - if isinstance(text, str): - text = [text] - - if isinstance(text[0], str): - text = [{"role": "user", "content": text}] - - elif isinstance(text[0], dict): - contains_keys = all([key in _ for _ in text for key in ["role", "content"]]) - assert contains_keys, "Each dictionary in text must contain keys 'role' and 'content'." - - return text - - def get_num_tokens_from_string( - self, - string: str, - ) -> int: - """ - Returns the number of tokens in a text string. From https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb. - """ - encoding = tiktoken.encoding_for_model(self.model) - num_tokens = len(encoding.encode(string)) - return num_tokens - - def get_num_tokens_from_messages( - self, - messages: Union[str, List[str], List[dict]], - ) -> int: - """ - Return the number of tokens in a string or list of strings. Code adapted from https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb - - Arguments: - text (Union[str, List[str]]): string or list of strings - - Returns: - Union[int, List[int]]: number of tokens in text - """ - - messages = self._format_text_for_token_counting(messages) - - try: - encoding = tiktoken.encoding_for_model(self.model) - except KeyError: - print("Warning: model not found. Using cl100k_base encoding.") - encoding = tiktoken.get_encoding("cl100k_base") - - if self.model in { - "gpt-3.5-turbo-0613", - "gpt-3.5-turbo-16k-0613", - "gpt-4-0314", - "gpt-4-32k-0314", - "gpt-4-0613", - "gpt-4-32k-0613", - }: - tokens_per_message = 3 - tokens_per_name = 1 - - elif self.model == "gpt-3.5-turbo-0301": - tokens_per_message = 4 # every message follows <|start|>{role/name}\n{content}<|end|>\n - tokens_per_name = -1 # if there's a name, the role is omitted - - elif "gpt-3.5-turbo" in self.model: - print("Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0613.") - self.model = "gpt-3.5-turbo-0613" - return self.get_num_tokens_from_messages(messages) - elif "gpt-4" in self.model: - print("Warning: gpt-4 may update over time. Returning num tokens assuming gpt-4-0613.") - self.model = "gpt-4-0613" - return self.get_num_tokens_from_messages(messages) - else: - raise NotImplementedError( - f"""get_num_tokens_from_messages() is not implemented for model {self.model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens.""" - ) - - num_tokens = 0 - for message in messages: - num_tokens += tokens_per_message - for key, value in message.items(): - num_tokens += len(encoding.encode(value)) - if key == "name": - num_tokens += tokens_per_name - num_tokens += 3 # every reply is primed with <|start|>assistant<|message|> - return num_tokens - - def format_transcript_within_budget( - self, - df: pd.DataFrame, - text_column: str, - speaker_column: str, - max_token_budget: int, - format_template: str = "{speaker}: {text}", - add_line_numbers: bool = False, # {line} must be in format_template - print_num_tokens: bool = False, - ) -> str: - """ - Format a transcript within a token budget. - - Arguments: - df (pd.DataFrame): pandas dataframe - text_column (str): name of column containing text - speaker_column (str): name of column containing speaker names - max_token_budget (int): maximum number of tokens - format_template (str): format string - add_line_numbers (bool): whether to add line numbers - print_num_tokens (bool): whether to print the number of tokens - - Returns: - str: formatted string - """ - assert text_column in df.columns, f"Text column {text_column} not found in dataframe." - assert speaker_column in df.columns, f"Speaker column {speaker_column} not found in dataframe." - assert "{speaker}" in format_template, "format_template must contain {speaker}." - assert "{text}" in format_template, "format_template must contain {text}." - if add_line_numbers: - assert "{line}" in format_template, "format_template must contain {line}." - - text = "" - num_tokens = 0 - line = 0 - # Naive approach: add as many rows as possible until max_token_budget is reached - for i, row in df.iterrows(): - next_text = format_template.format( - speaker=row[speaker_column], - text=row[text_column], - line=line) + "\n" - next_text_num_tokens = self.get_num_tokens_from_string(next_text) - - if num_tokens + next_text_num_tokens <= max_token_budget: - text += next_text - num_tokens += next_text_num_tokens - line += 1 - else: - break - - # Remove last newline - text = text[:-1] - if print_num_tokens: - print(f"Number of tokens: {num_tokens}") - return text \ No newline at end of file diff --git a/edu_convokit/prompts/conversation/class_clbm_bad_examples.txt b/edu_convokit/prompts/conversation/class_clbm_bad_examples.txt deleted file mode 100644 index e6f1c76..0000000 --- a/edu_convokit/prompts/conversation/class_clbm_bad_examples.txt +++ /dev/null @@ -1,13 +0,0 @@ -Consider the following classroom transcript. - -Transcript: -{conversation} - -Please provide up to 5 bad examples (eg. missed opportunities or poor execution) of the teacher's behavior management. Behavior management encompasses the teacher's use of effective methods to encourage desirable behavior and prevent and re-direct misbehavior. - -Format your answer as: -Bad examples -1. Line number: , Segment: "", Reason: -2. ... - -Bad examples: diff --git a/edu_convokit/prompts/conversation/class_clbm_good_examples.txt b/edu_convokit/prompts/conversation/class_clbm_good_examples.txt deleted file mode 100644 index c137241..0000000 --- a/edu_convokit/prompts/conversation/class_clbm_good_examples.txt +++ /dev/null @@ -1,13 +0,0 @@ -Consider the following classroom transcript. - -Transcript: -{conversation} - -Please provide up to 5 good examples of the teacher's behavior management. Behavior management encompasses the teacher's use of effective methods to encourage desirable behavior and prevent and re-direct misbehavior. - -Format your answer as: -Good examples -1. Line number: , Segment: "", Reason: -2. ... - -Good examples: diff --git a/edu_convokit/prompts/conversation/mqi_suggestions.txt b/edu_convokit/prompts/conversation/mqi_suggestions.txt deleted file mode 100644 index e534510..0000000 --- a/edu_convokit/prompts/conversation/mqi_suggestions.txt +++ /dev/null @@ -1,13 +0,0 @@ -Consider the following classroom transcript. - -Transcript: -{conversation} - -The transcript contains many short student responses. Please provide 5 suggestions for the teacher on how the teacher could elicit more student reasoning in the classroom. Student reasoning is counted broadly as students asking questions, engaging in mathematical discourse with their teacher or peers, and providing explanations such as justifying their answers. - -Format your answer as: -Advice to the teacher: -1. Segment: "", Suggestion: -2. ... - -Advice to the teacher: \ No newline at end of file diff --git a/edu_convokit/prompts/conversation/summarize.txt b/edu_convokit/prompts/conversation/summarize.txt deleted file mode 100644 index d6a2808..0000000 --- a/edu_convokit/prompts/conversation/summarize.txt +++ /dev/null @@ -1,8 +0,0 @@ -Consider the following transcript of a conversation between a teacher and a student. - -Transcript: -{conversation} - -Please summarize the conversation in a few sentences. - -Summary: \ No newline at end of file diff --git a/edu_convokit/uptake_utils.py b/edu_convokit/uptake_utils.py deleted file mode 100644 index d501df0..0000000 --- a/edu_convokit/uptake_utils.py +++ /dev/null @@ -1,206 +0,0 @@ -import torch -from transformers import BertTokenizer -from transformers.models.bert.modeling_bert import BertModel, BertPreTrainedModel -from torch import nn -from itertools import chain -from torch.nn import MSELoss, CrossEntropyLoss -from cleantext import clean -from num2words import num2words -import re -import string - -punct_chars = list((set(string.punctuation) | {'’', '‘', '–', '—', '~', '|', '“', '”', '…', "'", "`", '_'})) -punct_chars.sort() -punctuation = ''.join(punct_chars) -replace = re.compile('[%s]' % re.escape(punctuation)) - -def get_num_words(text): - if not isinstance(text, str): - print("%s is not a string" % text) - text = replace.sub(' ', text) - text = re.sub(r'\s+', ' ', text) - text = text.strip() - text = re.sub(r'\[.+\]', " ", text) - return len(text.split()) - -def number_to_words(num): - try: - return num2words(re.sub(",", "", num)) - except: - return num - - -clean_str = lambda s: clean(s, - fix_unicode=True, # fix various unicode errors - to_ascii=True, # transliterate to closest ASCII representation - lower=True, # lowercase text - no_line_breaks=True, # fully strip line breaks as opposed to only normalizing them - no_urls=True, # replace all URLs with a special token - no_emails=True, # replace all email addresses with a special token - no_phone_numbers=True, # replace all phone numbers with a special token - no_numbers=True, # replace all numbers with a special token - no_digits=False, # replace all digits with a special token - no_currency_symbols=False, # replace all currency symbols with a special token - no_punct=False, # fully remove punctuation - replace_with_url="", - replace_with_email="", - replace_with_phone_number="", - replace_with_number=lambda m: number_to_words(m.group()), - replace_with_digit="0", - replace_with_currency_symbol="", - lang="en" - ) - -clean_str_nopunct = lambda s: clean(s, - fix_unicode=True, # fix various unicode errors - to_ascii=True, # transliterate to closest ASCII representation - lower=True, # lowercase text - no_line_breaks=True, # fully strip line breaks as opposed to only normalizing them - no_urls=True, # replace all URLs with a special token - no_emails=True, # replace all email addresses with a special token - no_phone_numbers=True, # replace all phone numbers with a special token - no_numbers=True, # replace all numbers with a special token - no_digits=False, # replace all digits with a special token - no_currency_symbols=False, # replace all currency symbols with a special token - no_punct=True, # fully remove punctuation - replace_with_url="", - replace_with_email="", - replace_with_phone_number="", - replace_with_number=lambda m: number_to_words(m.group()), - replace_with_digit="0", - replace_with_currency_symbol="", - lang="en" - ) - -def _get_clean_text(text, remove_punct=False): - if remove_punct: - return clean_str_nopunct(text) - return clean_str(text) - -class MultiHeadModel(BertPreTrainedModel): - """Pre-trained BERT model that uses our loss functions""" - - def __init__(self, config, head2size): - super(MultiHeadModel, self).__init__(config, head2size) - config.num_labels = 1 - self.bert = BertModel(config) - self.dropout = nn.Dropout(config.hidden_dropout_prob) - module_dict = {} - for head_name, num_labels in head2size.items(): - module_dict[head_name] = nn.Linear(config.hidden_size, num_labels) - self.heads = nn.ModuleDict(module_dict) - - self.init_weights() - - def forward(self, input_ids, token_type_ids=None, attention_mask=None, - head2labels=None, return_pooler_output=False, head2mask=None, - nsp_loss_weights=None): - - device = "cuda" if torch.cuda.is_available() else "cpu" - - # Get logits - output = self.bert( - input_ids, token_type_ids=token_type_ids, attention_mask=attention_mask, - output_attentions=False, output_hidden_states=False, return_dict=True) - pooled_output = self.dropout(output["pooler_output"]).to(device) - - head2logits = {} - return_dict = {} - for head_name, head in self.heads.items(): - head2logits[head_name] = self.heads[head_name](pooled_output) - head2logits[head_name] = head2logits[head_name].float() - return_dict[head_name + "_logits"] = head2logits[head_name] - - - if head2labels is not None: - for head_name, labels in head2labels.items(): - num_classes = head2logits[head_name].shape[1] - - # Regression (e.g. for politeness) - if num_classes == 1: - - # Only consider positive examples - if head2mask is not None and head_name in head2mask: - num_positives = head2labels[head2mask[head_name]].sum() # use certain labels as mask - if num_positives == 0: - return_dict[head_name + "_loss"] = torch.tensor([0]).to(device) - else: - loss_fct = MSELoss(reduction='none') - loss = loss_fct(head2logits[head_name].view(-1), labels.float().view(-1)) - return_dict[head_name + "_loss"] = loss.dot(head2labels[head2mask[head_name]].float().view(-1)) / num_positives - else: - loss_fct = MSELoss() - return_dict[head_name + "_loss"] = loss_fct(head2logits[head_name].view(-1), labels.float().view(-1)) - else: - loss_fct = CrossEntropyLoss(weight=nsp_loss_weights.float()) - return_dict[head_name + "_loss"] = loss_fct(head2logits[head_name], labels.view(-1)) - - - if return_pooler_output: - return_dict["pooler_output"] = output["pooler_output"] - - return return_dict - -class InputBuilder(object): - """Base class for building inputs from segments.""" - - def __init__(self, tokenizer): - self.tokenizer = tokenizer - self.mask = [tokenizer.mask_token_id] - - def build_inputs(self, history, reply, max_length): - raise NotImplementedError - - def mask_seq(self, sequence, seq_id): - sequence[seq_id] = self.mask - return sequence - - @classmethod - def _combine_sequence(self, history, reply, max_length, flipped=False): - # Trim all inputs to max_length - history = [s[:max_length] for s in history] - reply = reply[:max_length] - if flipped: - return [reply] + history - return history + [reply] - - -class BertInputBuilder(InputBuilder): - """Processor for BERT inputs""" - - def __init__(self, tokenizer): - InputBuilder.__init__(self, tokenizer) - self.cls = [tokenizer.cls_token_id] - self.sep = [tokenizer.sep_token_id] - self.model_inputs = ["input_ids", "token_type_ids", "attention_mask"] - self.padded_inputs = ["input_ids", "token_type_ids"] - self.flipped = False - - - def build_inputs(self, history, reply, max_length, input_str=True): - """See base class.""" - if input_str: - history = [self.tokenizer.convert_tokens_to_ids(self.tokenizer.tokenize(t)) for t in history] - reply = self.tokenizer.convert_tokens_to_ids(self.tokenizer.tokenize(reply)) - sequence = self._combine_sequence(history, reply, max_length, self.flipped) - sequence = [s + self.sep for s in sequence] - sequence[0] = self.cls + sequence[0] - - instance = {} - instance["input_ids"] = list(chain(*sequence)) - last_speaker = 0 - other_speaker = 1 - seq_length = len(sequence) - instance["token_type_ids"] = [last_speaker if ((seq_length - i) % 2 == 1) else other_speaker - for i, s in enumerate(sequence) for _ in s] - return instance - - -def _initialize(path="."): - device = "cuda" if torch.cuda.is_available() else "cpu" - tokenizer = BertTokenizer.from_pretrained("bert-base-uncased") - input_builder = BertInputBuilder(tokenizer=tokenizer) - model = MultiHeadModel.from_pretrained(path, head2size={"nsp": 2}) - model.to(device) - model.eval() - return input_builder, device, model diff --git a/edu_convokit/utils.py b/edu_convokit/utils.py deleted file mode 100644 index 07da675..0000000 --- a/edu_convokit/utils.py +++ /dev/null @@ -1,136 +0,0 @@ -import os -import pandas as pd -import json -import re -import nltk -import string -nltk.download('stopwords') -from nltk.corpus import stopwords -from edu_convokit.constants import VALID_FILE_EXTENSIONS -import numpy as np -import pkg_resources - - -def load_text_file(filepath): - """ - Loads a text file and returns the text as a string. - """ - try: - content = pkg_resources.resource_string(__name__, filepath) - return content.decode("utf-8") - except FileNotFoundError: - raise FileNotFoundError(f"File {filepath} not found.") - -def split_dataframe(df, num_bins): # output list of dfs - """ - Splits a dataframe into num_bins chunks - """ - assert isinstance(df, pd.DataFrame), "df must be a pandas dataframe" - assert isinstance(num_bins, int) and num_bins > 0, "num_bins must be a positive integer" - return np.array_split(df, num_bins) - - -def is_valid_analysis_file_extension(fname): - """ - Checks if a filename has a valid extension for analysis (csv) - """ - return fname.endswith(".csv") - -def get_random_file(dirpath): - # Get all files in dir path that are valid analysis files - files = [f for f in os.listdir(dirpath) if is_valid_analysis_file_extension(f)] - # Return random file - return files[np.random.randint(len(files))] - -def is_valid_file_extension(fname): - """ - Checks if a filename has a valid extension. - """ - return any([fname.endswith(ext) for ext in VALID_FILE_EXTENSIONS]) - -def convert_time_hh_mm_ss_to_seconds(time): - """ - Converts a time in the format HH:MM:SS to seconds - """ - assert isinstance(time, str) and len(time.split(":")) == 3, "Time must be in the format HH:MM:SS" - hours, minutes, seconds = time.split(":") - return int(hours) * 3600 + int(minutes) * 60 + int(seconds) - -def xlsx_to_csv(xlsx_fname, replace_xlsx=False): - """ - Converts an xlsx file to csv. - """ - csv_fname = xlsx_fname.replace(".xlsx", ".csv") - df = pd.read_excel(xlsx_fname) - df.to_csv(csv_fname, index=False) - if replace_xlsx: - os.remove(xlsx_fname) - return csv_fname - -def _clean_text_to_words( - text: str, - remove_stopwords: bool = True, - remove_numeric: bool = True, - stem: bool = False, - remove_short: bool = True, - ): - sno = nltk.stem.SnowballStemmer('english') - punct_chars = list((set(string.punctuation) | {'’', '‘', '–', '—', '~', '|', '“', '”', '…', "'", "`", '_'}) - set(['#'])) - punct_chars.sort() - punctuation = ''.join(punct_chars) - printable = set(string.printable) - - # lower case - text = text.lower() - # eliminate urls - text = re.sub(r'http\S*|\S*\.com\S*|\S*www\S*', ' ', text) - # substitute all other punctuation with whitespace - replace = re.compile('[%s]' % re.escape(punctuation)) - text = replace.sub(' ', text) - # replace all whitespace with a single space - text = re.sub(r'\s+', ' ', text) - # strip off spaces on either end - text = text.strip() - # make sure all chars are printable - text = ''.join([c for c in text if c in printable]) - words = text.split() - if remove_stopwords: - words = [w for w in words if w not in stopwords.words('english')] - if remove_numeric: - words = [w for w in words if not w.isdigit()] - if stem: - words = [sno.stem(w) for w in words] - if remove_short: - words = [w for w in words if len(w) >= 3] - return words - -def load_data(fname): - # if fname.endswith(".xlsx") -> load with pandas - if fname.endswith(".xlsx"): - return pd.read_excel(fname) - # if fname.endswith(".csv") -> load with pandas - elif fname.endswith(".csv"): - return pd.read_csv(fname) - # if fname.endswith(".json") -> load then cast as dataframe - elif fname.endswith(".json"): - with open(fname) as f: - data = json.load(f) - return pd.DataFrame(data) - else: - raise ValueError(f"File type {fname.split('.')[-1]} not supported. Feel free to add support for this file type!") - -def get_valid_analysis_files_in_dir(dirname): - return [os.path.join(dirname, _) for _ in os.listdir(dirname) if is_valid_analysis_file_extension(_)] - -def merge_dataframes_in_list(filenames, max_transcripts=None): - df = pd.DataFrame() - for filename in filenames: - df = pd.concat([df, load_data(filename)], axis=0) - if max_transcripts is not None and len(df) >= max_transcripts: - break - return df - -def merge_dataframes_in_dir(dirname, max_transcripts=None): - filenames = get_valid_analysis_files_in_dir(dirname) - df = merge_dataframes_in_list(filenames, max_transcripts=max_transcripts) - return df \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 0000000..7d19505 --- /dev/null +++ b/index.html @@ -0,0 +1,311 @@ + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + Edu-ConvoKit: An Open-Source Framework for Education Conversation Data + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    +
    Edu-ConvoKit: An Open-Source Framework for Education Conversation Data

    + +
    +
    Rose E. Wang
    +
    rewang@cs.stanford.edu
    +
    Stanford
    +
    + +
    Dorottya Demszky
    +
    ddemszky@stanford.edu
    +
    Stanford
    +
    +
    + + + +
    + +
    + +
    +

    Abstract. The Edu-ConvoKit is an open-source framework designed to facilitate the study of conversation language data in educational settings. It provides a practical and efficient pipeline for essential tasks such as text pre-processing, annotation, and analysis, tailored to meet the needs of researchers and developers. This toolkit aims to enhance the accessibility and reproducibility of educational language data analysis, as well as advance both natural language processing (NLP) and education research. By simplifying these key operations, the Edu-ConvoKit supports the efficient exploration and interpretation of text data in education. +

    +
    +

    + + +

    More details to come!

    +

    + +

    Paper and BibTeX

    + + + +
    +
    @inproceedings{wang2024educonvokit,
    +          title={Edu-ConvoKit: An Open-Source Framework for Education Conversation Data},
    +          author={Wang, Rose E and Demszky, Dorottya},
    +          year={2024},
    +          month = jan,
    +        }
    +
    + +

    +

    Acknowledgements

    +

    + This website is adapted from + this website, which was adapted from + this website, which was + in turn adapted from + this website. + Feel free to use this website as a template for your own projects by referencing this! +

    + +

    + Icons used in some of the above figures were made by Freepik, + ThoseIcons, dDara, Pixel perfect, ThoseIcons, mynamepong, Icongeek26, + and Vitaly Gorbachev from + flaticon.com. +

    + +

    We are thankful to the following people for their feedback: Chris Manning, Omar Khattab, Lucy Li, Jim Malamut.

    +

    We are thankful to the following people for their contributions: Yann Hicke.

    + +
    + + \ No newline at end of file diff --git a/setup.py b/setup.py deleted file mode 100644 index 968b1df..0000000 --- a/setup.py +++ /dev/null @@ -1,75 +0,0 @@ -import os -import re - -import setuptools - -here = os.path.realpath(os.path.dirname(__file__)) -with open(os.path.join(here, "edu_convokit", "__init__.py")) as f: - meta_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", f.read(), re.M) - if meta_match: - version = meta_match.group(1) - else: - raise RuntimeError("Unable to find __version__ string.") - -extras_require = { - "latex": ("bibtexparser",), - "tests": ("pytest",), -} - -with open('README.md') as f: - readme = f.read() - -setuptools.setup( - name="edu_convokit", - packages=setuptools.find_packages(exclude=["tests"]), - version=version, - license="MIT", - description="Edu-ConvoKit: An Open-Source Framework for Education Conversation Data", - long_description=readme, - long_description_content_type="text/markdown", - author="Rose E. Wang", - author_email="rewang@cs.stanford.edu", - url="https://github.com/rosewang2008/edu-convokit", - project_urls={ - "Homepage": "https://rosewang2008.github.io/edu-convokit/", - "Documentation": "https://edu-convokit.readthedocs.io/en/latest/", - "Source": "https://github.com/rosewang2008/edu-convokit/", - }, - install_requires=[ - "tqdm", - "numpy", - "scipy", - "nltk", - "torch", - "transformers", - "scipy", - "clean-text", - "openpyxl", - "spacy", - "gensim", - "num2words==0.5.10", - "scikit-learn", - "matplotlib", - "seaborn", - "pandas", - "clean-text", - "tiktoken" - ], - extras_require=extras_require, - tests_require=["pytest"], - classifiers=[ - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.7", - "Programming Language :: Python :: 3.8", - "Programming Language :: Python :: 3.9", - "Programming Language :: Python :: 3.10", - "License :: OSI Approved :: MIT License", - "Operating System :: OS Independent", - "Typing :: Typed", - "Topic :: Scientific/Engineering :: Artificial Intelligence", - "Topic :: Utilities", - ], - package_data={"edu_convokit": ["prompts/conversation/*.txt", "prompts/utterance/*.txt"]}, - include_package_data=True, - python_requires=">=3.10,<3.12", -) diff --git a/tests/test_annotator_descriptive.py b/tests/test_annotator_descriptive.py deleted file mode 100644 index 8c72d5c..0000000 --- a/tests/test_annotator_descriptive.py +++ /dev/null @@ -1,82 +0,0 @@ -import unittest -from unittest import TestCase -from edu_convokit import utils -import pandas as pd -import re - - -from edu_convokit.preprocessors.text_preprocessor import TextPreprocessor -from edu_convokit.annotation.annotator import Annotator - -text_column = "text" -speaker_column = "speaker" -start_time_column = "start_timestamp" -end_time_column = "end_timestamp" - -df = pd.DataFrame({ - text_column: [ - "Hello class!", - "Hello, teacher!", - "How is everything doing?", - "We're doing well.", - ], - speaker_column: [ - "teacher", - "student", - "teacher", - "student" - ], - start_time_column: [ - "0", - "5", - "10", - "15" - ], - end_time_column: [ - "5", - "9", - "14", - "20" - ] -}) - -total_num_words = 11 -teacher_num_words = 6 -student_num_words = 5 - -total_seconds = 18 -teacher_seconds = 9 -student_seconds = 9 - -class TestDescriptiveTextAnalysis(TestCase): - def test_analyze_talktime(self): - talktime_analysis_column = "talktime_analysis" - ann = Annotator() - - talktime_df = ann.get_talktime( - df=df, - text_column=text_column, - analysis_unit="words", - output_column=talktime_analysis_column - ) - - teacher_talktime = talktime_df[talktime_df[speaker_column] == "teacher"][talktime_analysis_column].sum() - student_talktime = talktime_df[talktime_df[speaker_column] == "student"][talktime_analysis_column].sum() - self.assertEqual(teacher_talktime, teacher_num_words) - self.assertEqual(student_talktime, student_num_words) - - talktime_df = ann.get_talktime( - df=df, - analysis_unit="timestamps", - time_start_column=start_time_column, - time_end_column=end_time_column, - output_column=talktime_analysis_column - ) - - teacher_talktime = talktime_df[talktime_df[speaker_column] == "teacher"][talktime_analysis_column].sum() - student_talktime = talktime_df[talktime_df[speaker_column] == "student"][talktime_analysis_column].sum() - self.assertEqual(teacher_talktime, teacher_seconds) - self.assertEqual(student_talktime, student_seconds) - -if __name__ == "__main__": - unittest.main() \ No newline at end of file diff --git a/tests/test_annotator_hf.py b/tests/test_annotator_hf.py deleted file mode 100644 index 3743326..0000000 --- a/tests/test_annotator_hf.py +++ /dev/null @@ -1,148 +0,0 @@ -import unittest -from unittest import TestCase -import pandas as pd -import math -from edu_convokit.annotation.annotator import Annotator - - -class TestNeuralDiscourseAnalysis(TestCase): - def test_get_student_reasoning(self): - ann = Annotator() - df = pd.DataFrame({ - "text": [ - "This is a test.", # Should be skipped over because it doesn't have enough words - "You can instead drawing [inaudible], you can just draw six boxes.", # From the student_reasoning dataset in NCTE as reasoning - "You can instead drawing [inaudible], you can just draw six boxes.", # Going to pretend this is from the teacher to test the speaker_value argument - "I’m working on my words, because am I allowed to?", # From the student_reasoning dataset in NCTE as non-reasoning - ], - "speaker": [ - "student", - "student", - "teacher", - "student" - ] - }) - - df = ann.get_student_reasoning( - df=df, - text_column="text", - output_column="predictions", - # You can also omit the speaker_column and speaker_value arguments if you want to get predictions for all rows. - # We just include them here to show how to use them. Plus, this model should only be used on student reasoning. - speaker_column="speaker", - speaker_value="student" - ) - - self.assertTrue(math.isnan(df["predictions"][0])) - self.assertEqual(df["predictions"][1], 1) - self.assertTrue(math.isnan(df["predictions"][2])) - self.assertEqual(df["predictions"][3], 0) - - def test_teacher_focusing_questions(self): - ann = Annotator() - df = pd.DataFrame({ - "text": [ - "What do you think of when I say slope?", # 1 from the paper - "What's the rise? What's the run?", # 0 from the paper" - ] - }) - - df = ann.get_focusing_questions( - df=df, - text_column="text", - output_column="predictions", - ) - self.assertEqual(df["predictions"][0], 1) - self.assertEqual(df["predictions"][1], 0) - - def test_uptake(self): - ann = Annotator() - df = pd.DataFrame({ - "text": [ - "'Cause you took away 10 and 70 minus 10 is 60.", # High uptake from the paper - "Why did we take away 10?", - "test", # Utterance is too short. - "Why did we take away 10?", - "An obtuse angle is more than 90 degrees.", # Low uptake from the paper - "Why don't we put our pencils down and just do some brainstorming, and then we'll go back through it?" - ], - "speaker": [ - "student", - "teacher", - "student", - "teacher", - "student", - "teacher" - ] - }) - - df = ann.get_uptake( - df=df, - text_column="text", - output_column="predictions", - speaker_column="speaker", - speaker1="student", - speaker2="teacher", - result_type="binary" - ) - - self.assertTrue(math.isnan(df["predictions"][0])) - self.assertEqual(df["predictions"][1], 1) - self.assertTrue(math.isnan(df["predictions"][2])) - self.assertTrue(math.isnan(df["predictions"][3])) - self.assertTrue(math.isnan(df["predictions"][4])) - self.assertEqual(df["predictions"][5], 0) - - - def test_teacher_talk_moves(self): - # Talk moves examples coming from coding manual: https://github.com/SumnerLab/TalkMoves/blob/main/Coding%20Manual.pdf - ann = Annotator() - df = pd.DataFrame({ - "text": [ - "Testing", # No talk move detected - "Can you read the problem out loud?", # Keeping everyone together - "How do you feel about what they said?", # Getting students to relate to another student's idea - "What is the answer to number 2?", # Pressing for accuracy - "So instead of one flat edge, it had two.", # Revoicing - "It moves to a different position.", # Restating - "Can you explain why?", # Pressing for reasoning - ] - }) - - df = ann.get_teacher_talk_moves( - df=df, - text_column="text", - output_column="predictions", - ) - self.assertTrue(len(df), 7) - # self.assertEqual(df["predictions"][0], 0) - # self.assertEqual(df["predictions"][1], 1) - # self.assertEqual(df["predictions"][2], 2) - # self.assertEqual(df["predictions"][3], 5) - # self.assertEqual(df["predictions"][4], 4) - # self.assertEqual(df["predictions"][5], 3) - # self.assertEqual(df["predictions"][5], 6) - - def test_student_talk_moves(self): - # Talk moves examples coming from coding manual: https://github.com/SumnerLab/TalkMoves/blob/main/Coding%20Manual.pdf - ann = Annotator() - df = pd.DataFrame({ - "text": [ - "Testing", # No talk move detected - "He drew the y-intercept.", # Relating to another student - "Why did you multiply?", # Asking for more information - "12x plus 5", # Making a claim - "I divided 6 by 2 and got 3.", # Providing evidence or reasoning - ] - }) - - df = ann.get_student_talk_moves( - df=df, - text_column="text", - output_column="predictions", - ) - self.assertEqual(len(df), 5) - - -if __name__ == "__main__": - unittest.main() diff --git a/tests/test_annotator_lexical.py b/tests/test_annotator_lexical.py deleted file mode 100644 index fd0135e..0000000 --- a/tests/test_annotator_lexical.py +++ /dev/null @@ -1,28 +0,0 @@ -import unittest -from unittest import TestCase -from edu_convokit import utils -import pandas as pd -import re - -from edu_convokit.annotation.annotator import Annotator - -class TestLexicalAnalysis(TestCase): - - def test_math_density(self): - ann = Annotator() - df = pd.DataFrame({ - "text": [ - "I like to eat apples.", - "Multiply the Multiples multiple times. And do the sums in summer. What do you think." - ] - }) - df = ann.get_math_density( - df=df, - text_column="text", - output_column="math_density", - ) - self.assertEqual(df['math_density'][0], 0) - self.assertEqual(df['math_density'][1], 4) # multiply, multiples, multiple, sums - -if __name__ == "__main__": - unittest.main() \ No newline at end of file diff --git a/tests/test_gpt_conversation_analyzer.py b/tests/test_gpt_conversation_analyzer.py deleted file mode 100644 index 02477b9..0000000 --- a/tests/test_gpt_conversation_analyzer.py +++ /dev/null @@ -1,62 +0,0 @@ -import unittest -from unittest import TestCase -from edu_convokit import utils - -from edu_convokit.analyzers import GPTConversationAnalyzer - -class TestGPTConversationAnalyzer(TestCase): - - def test_preview_prompt(self): - analyzer = GPTConversationAnalyzer() - fpath = "data/ncte/3.csv" - df = utils.load_data(fpath) - - prompt = analyzer.preview_prompt( - df=df, - prompt_name="summarize", - text_column="text", - speaker_column="speaker", - model="gpt-4", - add_line_numbers=True, - format_template="Line {line}. {speaker}: {text}", - ) - - self.assertTrue(len(prompt) > 0) - - def test_run_prompt(self): - analyzer = GPTConversationAnalyzer() - fpath = "data/ncte/3.csv" - df = utils.load_data(fpath) - - prompt, response = analyzer.run_prompt( - df=df, - prompt_name="mqi_suggestions", - text_column="text", - speaker_column="speaker", - model="gpt-4", - add_line_numbers=True, - format_template="Line {line}. {speaker}: {text}", - ) - self.assertTrue(len(response) > 0) - - def test_run_prompt_with_fraction(self): - analyzer = GPTConversationAnalyzer() - fpath = "data/ncte/3.csv" - df = utils.load_data(fpath) - - prompt, response = analyzer.run_prompt( - df=df, - prompt_name="mqi_suggestions", - text_column="text", - speaker_column="speaker", - model="gpt-4", - add_line_numbers=True, - format_template="Line {line}. {speaker}: {text}", - keep_transcript_fraction=0.25, - ) - - self.assertTrue(len(response) > 0) - - -if __name__ == "__main__": - unittest.main() \ No newline at end of file diff --git a/tests/test_text_preprocessor.py b/tests/test_text_preprocessor.py deleted file mode 100644 index 03dcc16..0000000 --- a/tests/test_text_preprocessor.py +++ /dev/null @@ -1,99 +0,0 @@ -import unittest -from unittest import TestCase -from edu_convokit.preprocessors.text_preprocessor import TextPreprocessor -import pandas as pd -import re - -df = pd.DataFrame({ - "text": [ - "Hello, my name is Alice Wang.", - "Hello, my name is Bob Clarke.", - "Hello, my name is C J.", - "Hey Johnson, this is John." - ] -}) - -speaker_df = pd.DataFrame({ - "text": [ - "Hey.", - "How are you?", - "Good, how are you?", - "I'm good, thanks." - ], - "speaker": [ - "A", - "A", - "B", - "A" - ] -}) - -class TestTextPreprocessing(TestCase): - - def test_anonymize_known_names(self): - processor = TextPreprocessor() - names = ["Alice Wang", "Bob Clarke", "C J", "John Paul Jones", "Johnson"] - replacement_names = ["[TEACHER]", "[STUDENT2]", "[STUDENT3]", "[STUDENT4]", "[STUDENT5]"] - anon_df = processor.anonymize_known_names( - df=df, - text_column="text", - names=names, - replacement_names=replacement_names, - target_text_column="anon_text" - ) - - self.assertEqual(anon_df["anon_text"][0], "Hello, my name is [TEACHER].") - self.assertEqual(anon_df["anon_text"][1], "Hello, my name is [STUDENT2].") - self.assertEqual(anon_df["anon_text"][2], "Hello, my name is [STUDENT3].") - self.assertEqual(anon_df["anon_text"][3], "Hey [STUDENT5], this is [STUDENT4].") - - - def test_anonymize_unknown_names(self): - processor = TextPreprocessor() - anon_df = processor.anonymize_unknown_names( - df=df, - text_column="text", - target_text_column="anon_text" - ) - - regex1 = r'Hello, my name is \[PERSON\d+\].' - self.assertRegex(anon_df["anon_text"][0], regex1) - self.assertRegex(anon_df["anon_text"][1], regex1) - - # The following will not be caught by spacy - so be careful when using this function! If you know which names are in the dataset, use anonymize_known_names instead. - # self.assertRegex(anon_df["anon_text"][2], regex) - - regex2 = r'Hey \[PERSON\d+\], this is \[PERSON\d+\].' - self.assertRegex(anon_df["anon_text"][3], regex2) - - def test_merge_utterances_from_same_speaker(self): - processor = TextPreprocessor() - merged_df = processor.merge_utterances_from_same_speaker( - df=speaker_df, - text_column="text", - speaker_column="speaker", - target_text_column="merged_text" - ) - - self.assertEqual(merged_df["merged_text"][0], "Hey. How are you?") - self.assertEqual(merged_df["merged_text"][1], "Good, how are you?") - self.assertEqual(merged_df["merged_text"][2], "I'm good, thanks.") - - def test_get_speaker_text_format(self): - processor = TextPreprocessor() - - text = processor.get_speaker_text_format( - df=speaker_df, - text_column="text", - speaker_column="speaker" - ) - - target_text = """A: Hey. -A: How are you? -B: Good, how are you? -A: I'm good, thanks.""" - - self.assertEqual(text, target_text) - -if __name__ == "__main__": - unittest.main() \ No newline at end of file diff --git a/tests/test_token_preprocessor.py b/tests/test_token_preprocessor.py deleted file mode 100644 index c1c9b34..0000000 --- a/tests/test_token_preprocessor.py +++ /dev/null @@ -1,103 +0,0 @@ -import unittest -from unittest import TestCase -from edu_convokit.preprocessors.token_preprocessor import TokenPreprocessor -import pandas as pd -import re - -speaker_df = pd.DataFrame({ - "text": [ - "Hey.", - "How are you?", - "Good, how are you?", - "I'm good, thanks." - ], - "speaker": [ - "A", - "A", - "B", - "A" - ] -}) - -models = [ - "gpt-3.5-turbo-0301", - "gpt-3.5-turbo-0613", - "gpt-3.5-turbo", - "gpt-4-0314", - "gpt-4-0613", - "gpt-4", -] - -class TestTokenPreprocessor(TestCase): - - def test_get_num_tokens_from_string(self): - sentence = "tiktoken is great!" - - for model in models: - tp = TokenPreprocessor(model=model) - num_tokens = tp.get_num_tokens_from_string(sentence) - self.assertTrue(num_tokens > 0) - - def test_get_num_tokens_from_messages(self): - messages = [ - { - "role": "A", - "content": "Hey." - }, - { - "role": "B", - "content": "How are you?" - }, - { - "role": "A", - "content": "Good, how are you?" - }, - { - "role": "B", - "content": "I'm good, thanks." - } - ] - - for model in models: - tp = TokenPreprocessor(model=model) - # Test that it works - num_tokens = tp.get_num_tokens_from_messages(messages) - self.assertTrue(num_tokens > 0) - - - def test_format_transcript_within_budget(self): - for model in models: - tp = TokenPreprocessor(model=model) - # Test that it works - formatted_transcript = tp.format_transcript_within_budget( - df=speaker_df, - text_column="text", - speaker_column="speaker", - max_token_budget=25, - format_template="{speaker}: {text}", - ) - - self.assertTrue(len(formatted_transcript) > 0) - - def test_format_transcript_within_budget_with_line_numbers(self): - for model in models: - tp = TokenPreprocessor(model=model) - # Test that it works - formatted_transcript = tp.format_transcript_within_budget( - df=speaker_df, - text_column="text", - speaker_column="speaker", - max_token_budget=20, - format_template="Line {line}. {speaker}: {text}", - add_line_numbers=True - ) - - self.assertTrue(len(formatted_transcript) > 0) - - - - - - -if __name__ == "__main__": - unittest.main() \ No newline at end of file diff --git a/tests/test_utils.py b/tests/test_utils.py deleted file mode 100644 index a480285..0000000 --- a/tests/test_utils.py +++ /dev/null @@ -1,16 +0,0 @@ -import unittest -from edu_convokit import utils - -class TestUtilsPreprocess(unittest.TestCase): - def test_convert_time_hh_mm_ss_to_seconds_zero(self): - time = "00:00:00" - seconds = utils.convert_time_hh_mm_ss_to_seconds(time) - self.assertEqual(seconds, 0) - - def test_convert_time_hh_mm_ss_to_seconds(self): - time = "00:10:50" - seconds = utils.convert_time_hh_mm_ss_to_seconds(time) - self.assertEqual(seconds, 650) - -if __name__ == '__main__': - unittest.main() diff --git a/tutorials/tutorial_amber.ipynb b/tutorials/tutorial_amber.ipynb deleted file mode 100644 index 0bf15ac..0000000 --- a/tutorials/tutorial_amber.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"orrpsbmYU7pL"},"source":["# Tutorial on `edu-convokit` for the Amber dataset\n","\n","Welcome to the tutorial on `edu-convokit` for the [Amber dataset](https://github.com/laurenceholt/amber/tree/main). This tutorial will walk you through the process of using `edu-convokit` to pre-process, annotate and analyze the Amber dataset.\n","\n","If you are looking for a tutorial on the individual components of `edu-convokit`, please refer to the following tutorials to get started:\n","- [Text Pre-processing Colab](https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK)\n","- [Annotation Colab](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw)\n","- [Analysis Colab](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe)\n","\n","This tutorial will use all of the components!"]},{"cell_type":"markdown","metadata":{"id":"XvZ0-3nfU7pM"},"source":["## Installation\n","\n","Let's start by installing `edu-convokit` and importing the necessary modules.\n"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26345,"status":"ok","timestamp":1703933148182,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"nGJhCqQYU7pN","outputId":"69afe5e0-9e09-441e-fe0b-ea39a207042a"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://test.pypi.org/simple/\n","Requirement already satisfied: edu-convokit==0.1.0 in /Users/rewang/miniconda3/lib/python3.11/site-packages (0.1.0)\n","Requirement already satisfied: tqdm in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.1.0) (4.65.0)\n","Requirement already satisfied: numpy in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.1.0) (1.24.3)\n","Requirement already satisfied: scipy in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.1.0) (1.10.1)\n","Requirement already 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edu-convokit"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":25557,"status":"ok","timestamp":1703933173736,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"lMFU9vJgU7pN","outputId":"3fec19d2-1f41-47cb-8f4b-f5ac3fcdc97e"},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/rewang/miniconda3/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n"," from .autonotebook import tqdm as notebook_tqdm\n","Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.\n","[nltk_data] Downloading package stopwords to\n","[nltk_data] /Users/rewang/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]}],"source":["from edu_convokit.preprocessors import TextPreprocessor\n","from edu_convokit.annotation import Annotator\n","from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer\n",")\n","# For helping us load data\n","from edu_convokit import utils\n","\n","import os\n","import tqdm"]},{"cell_type":"markdown","metadata":{"id":"XWo_LjzOU7pO"},"source":["## 📑 Data\n","\n","Let's download the dataset under `raw_data/`."]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":793,"status":"ok","timestamp":1703933279655,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ORG_wOuDU7pO","outputId":"a1b8f1ff-e612-4511-817e-cf4a35664676"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2024-01-16 11:21:54-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/amber.zip\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.111.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 547335 (535K) [application/zip]\n","Saving to: ‘amber.zip’\n","\n","amber.zip 100%[===================>] 534.51K --.-KB/s in 0.06s \n","\n","2024-01-16 11:21:55 (8.54 MB/s) - ‘amber.zip’ saved [547335/547335]\n","\n"]}],"source":["# We will put the data here:\n","DATA_DIR = \"raw_data\"\n","!mkdir -p $DATA_DIR\n","\n","# We will put the annotated data here:\n","ANNOTATIONS_DIR = \"annotations\"\n","!mkdir -p $ANNOTATIONS_DIR\n","\n","# # Download the data\n","!wget \"https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/amber.zip\"\n","\n","# # Unzip the data\n","!unzip -n -q amber.zip -d $DATA_DIR\n","\n","# Data directory is then raw_data/amber\n","DATA_DIR = \"raw_data/amber\""]},{"cell_type":"code","execution_count":5,"metadata":{"id":"fouesc5MU7pO"},"outputs":[],"source":["# We'll set the important variables specific to this dataset. If you open one of the files, you'll see that the\n","# speaker and text columns are defined as:\n","TEXT_COLUMN = \"dialogue\"\n","SPEAKER_COLUMN = \"speaker\"\n","\n","# We will also define the annotation columns.\n","# For the purposes of this tutorial, we will only be using talktime, student_reasoning, and uptake.\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","UPTAKE_COLUMN = \"uptake\""]},{"cell_type":"markdown","metadata":{"id":"BQQHbS-9U7pO"},"source":["One thing that will be important is knowing how the teacher/tutor and student are represented in the dataset.\n","Let's load some examples and see how they are represented."]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":101,"status":"ok","timestamp":1703933296967,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"c0hX2oMzU7pO","outputId":"87f64d4e-0147-419e-f5d8-b15e3f91a69f"},"outputs":[{"data":{"text/html":["
    \n","\n","\n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","
    startstopspeakerdialogue
    000:00.6400:05.48TutorOkay, so the first thing, if your chat box is ...
    100:06.8800:11.84Tutorso it opens up your screen to create more work...
    200:13.4400:13.76StudentOkay.
    300:14.0400:16.68TutorKay, on the left hand side of your screen.
    400:18.3600:18.40StudentYou?
    \n","
    "],"text/plain":[" start stop speaker \n","0 00:00.64 00:05.48 Tutor \\\n","1 00:06.88 00:11.84 Tutor \n","2 00:13.44 00:13.76 Student \n","3 00:14.04 00:16.68 Tutor \n","4 00:18.36 00:18.40 Student \n","\n"," dialogue \n","0 Okay, so the first thing, if your chat box is ... \n","1 so it opens up your screen to create more work... \n","2 Okay. \n","3 Kay, on the left hand side of your screen. \n","4 You? "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["files = os.listdir(DATA_DIR)\n","df = utils.load_data(os.path.join(DATA_DIR, files[0]))\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"prh3yYoCU7pO"},"source":["There are two speakers: one is the Tutor and the other is the Student.\n","Let's defined these variables as well."]},{"cell_type":"code","execution_count":7,"metadata":{"id":"E7W9a3CdU7pO"},"outputs":[],"source":["STUDENT_SPEAKER = \"Student\"\n","TEACHER_SPEAKER = \"Tutor\""]},{"cell_type":"markdown","metadata":{"id":"200oT0QiU7pO"},"source":["## 📝 Text Pre-Processing and Annotation\n","\n","Let's first preprocess and annotate the dataset with `edu-convokit`. The following section will:\n","- Read each file in the dataset and preprocess it using `edu-convokit`'s `Preprocessor`.\n","- Then, annotate the file using `edu-convokit`'s `Annotator` for talktime, student reasoning and uptake.\n","- Finally, save the annotated file under `annotations/`.\n","\n","Let's get started!"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["45fd1cdada9d4d568705fbaf1612f939","dff440afab09496386fca52de5cbf34d","6da68abc32024478b5271b461a45b0fd","d576b0f94f024ed9bdcb3a6ce4b6663f","fe2147cbb0104396bf1ca5bf3452a12b","3a345e70e21e473eadaf739e4ae6b6b2","76f612e8ceab4b249cbe3d1f252ec369","271efe0640a44a1ba245587bfbba7692","04302cacb6684c17b50fe628c9ada270","897f04cd16d14c0d8eed2d81a576ada1","3946c5555dce41fa849fe259889c7f5f","914099aa0aa2476ba99aef207dcc87e2","ffa4fcc9b8f2402aa6ecaf5439f6b988","810b8494f3554b92add1962b9e0277d4","9012a0b775a94faf9bd42257afcefad2","f90f765994454e25ad17e939049fa537","3370d1a72dad44d393ed8dbde15c0c6c","dc02af86a5754b51b18333aeff2a9803","7ae0887ae28d405e8b262ea670ea0185","9e6d4ad1012c4d7695f35d57281ea134","280c4aa8f738404cb1a99bc82a698d44","a310b77349844fdb9d1153091b2abccc","56393c2e58a449d7ab9c33c954b9197c","1b2e3e334af74d1a90dee0550c0f49a7","6ef85bd5b1ea4518890aea4391a702bf","0b288cb28cf74814ba5030d50bbc50fc","fa7e4cebe69845038bca5ae22ee514a8","6f6065f32dc74fef8b4c4e5c46e0ad58","3e0ddab423dd45b086bd121648f7d1d4","4d59944421d7456093fe04e4ebdc9281","03d242cea8904ca98401b4607197d67e","ad12defb83b247309129539f705b495f","cfef93ca7e7341d485c90fc3624e715d","7071b4d8b1a746f495dac399fcc6da02","4c234675926f48a5a26ac32809ab350e","6bca29edd8264e2bbc13811edd03cab9","a5896952b31747db99cd54786717cb10","1b347d51dae4407297e31cea2088c392","d077dd7cbacf4c01a814223c658d8207","4015bfb07670428baa7d1db1568f3b56","7f3e7aedda5f41faac9461c2c1d8a7ab","a38b337ed10a47b9b10abce3c82edb28","caeb491a36d54ca68efeec655bfe0971","3885e5f66b144f1087e5f61abfc2a6a3","8c575a73b7eb45739f06f14483370cd3","f6da7df34ee54288b02c6edc5ce8b355","729a92b0f2234ce497bf838d54657886","bcc80f4c7bf04d3c8662f281dbf9f8e6","7d05998550c447bba5aa09492f3523d2","cbd33cf9dae4418fa9fff03a783ec0e2","c2e76a2427804fb58f15e42487d4dbbc","c17edee81c6a41dfa12d9b8848ab17fd","d8809e84c7974536b1dbffe68cf4cdf9","add8754b6e534dc89d515a55bc64db4b","c6e6e29c298045fcb3a529d45dbbaa0d","649731e6f8a14d3a88c87c4741bccb89","0a4ff4ddaeeb4662ad53b7bbcd057ce0","38e4018a517f4368acb6f2d7ccff2eae","df6c1244aa4a43b9b6b5f4e3bfe2c58a","817b1d4046be4f8bab1ae3e6a3fac3dc","e655e7eef8514aa4886f31ad4aa99bfd","1bb8cb44b8b44974a557136728e2f920","af6259f2bca94016a9a0c906e1bba360","3a16603d01f3412aa06cf6b124d1ca6b","7af1122cbff641309c8a61f077d7e518","22f6061d882345c5914663f103b03b73","8aec33102c7d45458c087cff753618f7","f3423c392b60483e872c04c50ceb86b7","afe29d084c7849f58809b4fd1bcc7bd4","297dc3850b624721834e0a386cb5ed56","a402c2fdd233436db2795675077ca37b","12ccf60c027e462c958c8e0ebd5bfa46","634d1a160b0d44cd82f3d5ff025e3352","296fefe8cf3348088a7babdf8543d08b","6dea0d0a0a944a7fb62e4b476a592f21","80c9d8a91b904ca1ae55cd787d5f8bcd","657b93f272164e2588e7ed54deae2f00","77ac6e33ffdb448786500cac30e6c3b0","8147990c12b54912a02d466a9bddff0d","742a01e56a3d45ed9f1694f93655c6d4","ec1e34cf30c24ac78e1377f0e2b594a4","865f76923ce04f09800c9b474c520346","f378b38788364ca8847415ec566edc9e","192ec391928b48a489e7471bad35f39a","9a0bff32cd364149ae7c093e535d9ce5","661de037bf0343e49aa7a4f13186e33e","24691c46ac6d443aa5a6024fdfb6ca03","946a4e9939f54707b32be63e5042fa31","d41cd34ba50342278ffac687a0687806","e99afdc2c09348c19dd684f558cc3790","f7e59d3dfa2e4ba691c03c08291cac23","1d2141194a38429680fda1e38ec5475d","d2de477e20604f0eaa4201aa71a22496","1e8b5fc36f3f48bfad14d6b59191ba10","e3afba5c26044be98bc826bff19137ac","d8263580dc7c479c96208a32a61bf527","8018b4a1fc304d239f167ee5f3fdfdc9","ab0a48cdad0141d088dfaf14b98283fb","b5d7599700854dc786dfaf876cf34fa7","40452e5455464dcb81a6e0030cc05aa5","47d03aad1c6a4014b31ebfd1d2d112a6","63da77eedfec41779d693fc0ba315965","b67a73f9e2384b7589f4f5faa857000b","33efd1f5d7b7430e8cb2ba722b2bfb0f","2fb7b46f9f724f41b2c49d83c526857c","bc2716b115294c309db2355cc4539d4c","7283def6c3f14e5d9da63b6fc77c1532","37f87284163a44e696b4b5c3c46fb4d4","eb0ed2b1e22e4f539342b5e19f9b8423","14830f784b3440299964789d018559e1","2ae2534ed1464fbcb0f828d84a766702","9fdcee3740aa474f9375a2ca4bc014b2","dc8f63ad95034948b07537d4ac7f0f40","0ac300cad88949a8a1a884ee84af78cf","14ab4c6e2a5241ab996422463ec7020d","42f3646288e341aea39bb428b9c283f7","ef4c18f206624ff9a1d53c6c43883739","cdad23d9f384499ba5324ff4d32687d3","690f6f16aad34ddd87de595a362dd4df","c366e73ec2624a2fa488178ede0e795f","9b751b67808445cf94d6e6ceb1767ded"]},"executionInfo":{"elapsed":1142478,"status":"ok","timestamp":1703934444592,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"QwDwCJEMU7pO","outputId":"60be2b4b-0b39-4f7f-8bd6-bcf5a986e3f7"},"outputs":[{"name":"stderr","output_type":"stream","text":[" 0%| | 0/45 [00:0019\u001b[0m \u001b[39m# Now we're going to annotate the data.\u001b[39;00m\n\u001b[1;32m 20\u001b[0m df \u001b[39m=\u001b[39m annotator\u001b[39m.\u001b[39mget_talktime(\n\u001b[1;32m 21\u001b[0m df\u001b[39m=\u001b[39mdf,\n\u001b[1;32m 22\u001b[0m text_column\u001b[39m=\u001b[39mTEXT_COLUMN,\n\u001b[1;32m 23\u001b[0m output_column\u001b[39m=\u001b[39mTALK_TIME_COLUMN\n\u001b[1;32m 24\u001b[0m )\n\u001b[0;32m---> 26\u001b[0m df \u001b[39m=\u001b[39m annotator\u001b[39m.\u001b[39;49mget_student_reasoning(\n\u001b[1;32m 27\u001b[0m df\u001b[39m=\u001b[39;49mdf,\n\u001b[1;32m 28\u001b[0m text_column\u001b[39m=\u001b[39;49mTEXT_COLUMN,\n\u001b[1;32m 29\u001b[0m speaker_column\u001b[39m=\u001b[39;49mSPEAKER_COLUMN,\n\u001b[1;32m 30\u001b[0m output_column\u001b[39m=\u001b[39;49mSTUDENT_REASONING_COLUMN,\n\u001b[1;32m 31\u001b[0m \u001b[39m# We just want to annotate the student utterances. So we're going to specify the speaker value as STUDENT_SPEAKER.\u001b[39;49;00m\n\u001b[1;32m 32\u001b[0m speaker_value\u001b[39m=\u001b[39;49mSTUDENT_SPEAKER\n\u001b[1;32m 33\u001b[0m )\n\u001b[1;32m 35\u001b[0m df \u001b[39m=\u001b[39m annotator\u001b[39m.\u001b[39mget_uptake(\n\u001b[1;32m 36\u001b[0m df\u001b[39m=\u001b[39mdf,\n\u001b[1;32m 37\u001b[0m text_column\u001b[39m=\u001b[39mTEXT_COLUMN,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 43\u001b[0m speaker2\u001b[39m=\u001b[39mTEACHER_SPEAKER\n\u001b[1;32m 44\u001b[0m )\n\u001b[1;32m 46\u001b[0m \u001b[39m# And we're done! Let's now save the annotated data as a csv file.\u001b[39;00m\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/edu_convokit/annotation/annotator.py:207\u001b[0m, in \u001b[0;36mAnnotator.get_student_reasoning\u001b[0;34m(self, df, text_column, output_column, speaker_column, speaker_value)\u001b[0m\n\u001b[1;32m 203\u001b[0m \u001b[39m# Print out note that the predictions should only be run on student reasoning as that's what the model was trained on.\u001b[39;00m\n\u001b[1;32m 204\u001b[0m logging\u001b[39m.\u001b[39mwarning(\u001b[39m\"\"\"\u001b[39m\u001b[39mNote: This model was trained on student reasoning, so it should be used on student utterances.\u001b[39m\n\u001b[1;32m 205\u001b[0m \u001b[39mFor more details on the model, see https://arxiv.org/pdf/2211.11772.pdf\u001b[39m\u001b[39m\"\"\"\u001b[39m)\n\u001b[0;32m--> 207\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_classification_predictions(\n\u001b[1;32m 208\u001b[0m df\u001b[39m=\u001b[39;49mdf,\n\u001b[1;32m 209\u001b[0m text_column\u001b[39m=\u001b[39;49mtext_column,\n\u001b[1;32m 210\u001b[0m output_column\u001b[39m=\u001b[39;49moutput_column,\n\u001b[1;32m 211\u001b[0m model_name\u001b[39m=\u001b[39;49mSTUDENT_REASONING_HF_MODEL_NAME,\n\u001b[1;32m 212\u001b[0m min_num_words\u001b[39m=\u001b[39;49mSTUDENT_REASONING_MIN_NUM_WORDS,\n\u001b[1;32m 213\u001b[0m max_num_words\u001b[39m=\u001b[39;49mSTUDENT_REASONING_MAX_INPUT_LENGTH,\n\u001b[1;32m 214\u001b[0m speaker_column\u001b[39m=\u001b[39;49mspeaker_column,\n\u001b[1;32m 215\u001b[0m speaker_value\u001b[39m=\u001b[39;49mspeaker_value\n\u001b[1;32m 216\u001b[0m )\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/edu_convokit/annotation/annotator.py:174\u001b[0m, in \u001b[0;36mAnnotator._get_classification_predictions\u001b[0;34m(self, df, text_column, output_column, model_name, min_num_words, max_num_words, speaker_column, speaker_value)\u001b[0m\n\u001b[1;32m 172\u001b[0m \u001b[39mwith\u001b[39;00m torch\u001b[39m.\u001b[39mno_grad():\n\u001b[1;32m 173\u001b[0m inputs \u001b[39m=\u001b[39m tokenizer(text, return_tensors\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mpt\u001b[39m\u001b[39m\"\u001b[39m, padding\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, truncation\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, max_length\u001b[39m=\u001b[39mmax_num_words)\n\u001b[0;32m--> 174\u001b[0m outputs \u001b[39m=\u001b[39m model(\u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49minputs)\n\u001b[1;32m 175\u001b[0m logits \u001b[39m=\u001b[39m outputs\u001b[39m.\u001b[39mlogits\n\u001b[1;32m 176\u001b[0m predictions\u001b[39m.\u001b[39mappend(logits\u001b[39m.\u001b[39margmax()\u001b[39m.\u001b[39mitem())\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1502\u001b[0m \u001b[39m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[39m=\u001b[39m [], []\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/transformers/models/bert/modeling_bert.py:1562\u001b[0m, in \u001b[0;36mBertForSequenceClassification.forward\u001b[0;34m(self, input_ids, attention_mask, token_type_ids, position_ids, head_mask, inputs_embeds, labels, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m 1554\u001b[0m \u001b[39m\u001b[39m\u001b[39mr\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 1555\u001b[0m \u001b[39mlabels (`torch.LongTensor` of shape `(batch_size,)`, *optional*):\u001b[39;00m\n\u001b[1;32m 1556\u001b[0m \u001b[39m Labels for computing the sequence classification/regression loss. Indices should be in `[0, ...,\u001b[39;00m\n\u001b[1;32m 1557\u001b[0m \u001b[39m config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If\u001b[39;00m\n\u001b[1;32m 1558\u001b[0m \u001b[39m `config.num_labels > 1` a classification loss is computed (Cross-Entropy).\u001b[39;00m\n\u001b[1;32m 1559\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 1560\u001b[0m return_dict \u001b[39m=\u001b[39m return_dict \u001b[39mif\u001b[39;00m return_dict \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39melse\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mconfig\u001b[39m.\u001b[39muse_return_dict\n\u001b[0;32m-> 1562\u001b[0m outputs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mbert(\n\u001b[1;32m 1563\u001b[0m input_ids,\n\u001b[1;32m 1564\u001b[0m attention_mask\u001b[39m=\u001b[39;49mattention_mask,\n\u001b[1;32m 1565\u001b[0m token_type_ids\u001b[39m=\u001b[39;49mtoken_type_ids,\n\u001b[1;32m 1566\u001b[0m position_ids\u001b[39m=\u001b[39;49mposition_ids,\n\u001b[1;32m 1567\u001b[0m head_mask\u001b[39m=\u001b[39;49mhead_mask,\n\u001b[1;32m 1568\u001b[0m inputs_embeds\u001b[39m=\u001b[39;49minputs_embeds,\n\u001b[1;32m 1569\u001b[0m output_attentions\u001b[39m=\u001b[39;49moutput_attentions,\n\u001b[1;32m 1570\u001b[0m output_hidden_states\u001b[39m=\u001b[39;49moutput_hidden_states,\n\u001b[1;32m 1571\u001b[0m return_dict\u001b[39m=\u001b[39;49mreturn_dict,\n\u001b[1;32m 1572\u001b[0m )\n\u001b[1;32m 1574\u001b[0m pooled_output \u001b[39m=\u001b[39m outputs[\u001b[39m1\u001b[39m]\n\u001b[1;32m 1576\u001b[0m pooled_output \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdropout(pooled_output)\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1502\u001b[0m \u001b[39m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[39m=\u001b[39m [], []\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/transformers/models/bert/modeling_bert.py:1020\u001b[0m, in \u001b[0;36mBertModel.forward\u001b[0;34m(self, input_ids, attention_mask, token_type_ids, position_ids, head_mask, inputs_embeds, encoder_hidden_states, encoder_attention_mask, past_key_values, use_cache, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m 1011\u001b[0m head_mask \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_head_mask(head_mask, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mconfig\u001b[39m.\u001b[39mnum_hidden_layers)\n\u001b[1;32m 1013\u001b[0m embedding_output \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39membeddings(\n\u001b[1;32m 1014\u001b[0m input_ids\u001b[39m=\u001b[39minput_ids,\n\u001b[1;32m 1015\u001b[0m position_ids\u001b[39m=\u001b[39mposition_ids,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1018\u001b[0m past_key_values_length\u001b[39m=\u001b[39mpast_key_values_length,\n\u001b[1;32m 1019\u001b[0m )\n\u001b[0;32m-> 1020\u001b[0m encoder_outputs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencoder(\n\u001b[1;32m 1021\u001b[0m embedding_output,\n\u001b[1;32m 1022\u001b[0m attention_mask\u001b[39m=\u001b[39;49mextended_attention_mask,\n\u001b[1;32m 1023\u001b[0m head_mask\u001b[39m=\u001b[39;49mhead_mask,\n\u001b[1;32m 1024\u001b[0m encoder_hidden_states\u001b[39m=\u001b[39;49mencoder_hidden_states,\n\u001b[1;32m 1025\u001b[0m encoder_attention_mask\u001b[39m=\u001b[39;49mencoder_extended_attention_mask,\n\u001b[1;32m 1026\u001b[0m past_key_values\u001b[39m=\u001b[39;49mpast_key_values,\n\u001b[1;32m 1027\u001b[0m use_cache\u001b[39m=\u001b[39;49muse_cache,\n\u001b[1;32m 1028\u001b[0m output_attentions\u001b[39m=\u001b[39;49moutput_attentions,\n\u001b[1;32m 1029\u001b[0m output_hidden_states\u001b[39m=\u001b[39;49moutput_hidden_states,\n\u001b[1;32m 1030\u001b[0m return_dict\u001b[39m=\u001b[39;49mreturn_dict,\n\u001b[1;32m 1031\u001b[0m )\n\u001b[1;32m 1032\u001b[0m sequence_output \u001b[39m=\u001b[39m encoder_outputs[\u001b[39m0\u001b[39m]\n\u001b[1;32m 1033\u001b[0m pooled_output \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpooler(sequence_output) \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpooler \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39melse\u001b[39;00m \u001b[39mNone\u001b[39;00m\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1502\u001b[0m \u001b[39m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[39m=\u001b[39m [], []\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/transformers/models/bert/modeling_bert.py:610\u001b[0m, in \u001b[0;36mBertEncoder.forward\u001b[0;34m(self, hidden_states, attention_mask, head_mask, encoder_hidden_states, encoder_attention_mask, past_key_values, use_cache, output_attentions, output_hidden_states, return_dict)\u001b[0m\n\u001b[1;32m 601\u001b[0m layer_outputs \u001b[39m=\u001b[39m torch\u001b[39m.\u001b[39mutils\u001b[39m.\u001b[39mcheckpoint\u001b[39m.\u001b[39mcheckpoint(\n\u001b[1;32m 602\u001b[0m create_custom_forward(layer_module),\n\u001b[1;32m 603\u001b[0m hidden_states,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 607\u001b[0m encoder_attention_mask,\n\u001b[1;32m 608\u001b[0m )\n\u001b[1;32m 609\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 610\u001b[0m layer_outputs \u001b[39m=\u001b[39m layer_module(\n\u001b[1;32m 611\u001b[0m hidden_states,\n\u001b[1;32m 612\u001b[0m attention_mask,\n\u001b[1;32m 613\u001b[0m layer_head_mask,\n\u001b[1;32m 614\u001b[0m encoder_hidden_states,\n\u001b[1;32m 615\u001b[0m encoder_attention_mask,\n\u001b[1;32m 616\u001b[0m past_key_value,\n\u001b[1;32m 617\u001b[0m output_attentions,\n\u001b[1;32m 618\u001b[0m )\n\u001b[1;32m 620\u001b[0m hidden_states \u001b[39m=\u001b[39m layer_outputs[\u001b[39m0\u001b[39m]\n\u001b[1;32m 621\u001b[0m \u001b[39mif\u001b[39;00m use_cache:\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1502\u001b[0m \u001b[39m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[39m=\u001b[39m [], []\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/transformers/models/bert/modeling_bert.py:495\u001b[0m, in \u001b[0;36mBertLayer.forward\u001b[0;34m(self, hidden_states, attention_mask, head_mask, encoder_hidden_states, encoder_attention_mask, past_key_value, output_attentions)\u001b[0m\n\u001b[1;32m 483\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mforward\u001b[39m(\n\u001b[1;32m 484\u001b[0m \u001b[39mself\u001b[39m,\n\u001b[1;32m 485\u001b[0m hidden_states: torch\u001b[39m.\u001b[39mTensor,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 492\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Tuple[torch\u001b[39m.\u001b[39mTensor]:\n\u001b[1;32m 493\u001b[0m \u001b[39m# decoder uni-directional self-attention cached key/values tuple is at positions 1,2\u001b[39;00m\n\u001b[1;32m 494\u001b[0m self_attn_past_key_value \u001b[39m=\u001b[39m past_key_value[:\u001b[39m2\u001b[39m] \u001b[39mif\u001b[39;00m past_key_value \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39melse\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m--> 495\u001b[0m self_attention_outputs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mattention(\n\u001b[1;32m 496\u001b[0m hidden_states,\n\u001b[1;32m 497\u001b[0m attention_mask,\n\u001b[1;32m 498\u001b[0m head_mask,\n\u001b[1;32m 499\u001b[0m output_attentions\u001b[39m=\u001b[39;49moutput_attentions,\n\u001b[1;32m 500\u001b[0m past_key_value\u001b[39m=\u001b[39;49mself_attn_past_key_value,\n\u001b[1;32m 501\u001b[0m )\n\u001b[1;32m 502\u001b[0m attention_output \u001b[39m=\u001b[39m self_attention_outputs[\u001b[39m0\u001b[39m]\n\u001b[1;32m 504\u001b[0m \u001b[39m# if decoder, the last output is tuple of self-attn cache\u001b[39;00m\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1502\u001b[0m \u001b[39m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[39m=\u001b[39m [], []\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/transformers/models/bert/modeling_bert.py:425\u001b[0m, in \u001b[0;36mBertAttention.forward\u001b[0;34m(self, hidden_states, attention_mask, head_mask, encoder_hidden_states, encoder_attention_mask, past_key_value, output_attentions)\u001b[0m\n\u001b[1;32m 415\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mforward\u001b[39m(\n\u001b[1;32m 416\u001b[0m \u001b[39mself\u001b[39m,\n\u001b[1;32m 417\u001b[0m hidden_states: torch\u001b[39m.\u001b[39mTensor,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 423\u001b[0m output_attentions: Optional[\u001b[39mbool\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m,\n\u001b[1;32m 424\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Tuple[torch\u001b[39m.\u001b[39mTensor]:\n\u001b[0;32m--> 425\u001b[0m self_outputs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mself(\n\u001b[1;32m 426\u001b[0m hidden_states,\n\u001b[1;32m 427\u001b[0m attention_mask,\n\u001b[1;32m 428\u001b[0m head_mask,\n\u001b[1;32m 429\u001b[0m encoder_hidden_states,\n\u001b[1;32m 430\u001b[0m encoder_attention_mask,\n\u001b[1;32m 431\u001b[0m past_key_value,\n\u001b[1;32m 432\u001b[0m output_attentions,\n\u001b[1;32m 433\u001b[0m )\n\u001b[1;32m 434\u001b[0m attention_output \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39moutput(self_outputs[\u001b[39m0\u001b[39m], hidden_states)\n\u001b[1;32m 435\u001b[0m outputs \u001b[39m=\u001b[39m (attention_output,) \u001b[39m+\u001b[39m self_outputs[\u001b[39m1\u001b[39m:] \u001b[39m# add attentions if we output them\u001b[39;00m\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1502\u001b[0m \u001b[39m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[39m=\u001b[39m [], []\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/transformers/models/bert/modeling_bert.py:284\u001b[0m, in \u001b[0;36mBertSelfAttention.forward\u001b[0;34m(self, hidden_states, attention_mask, head_mask, encoder_hidden_states, encoder_attention_mask, past_key_value, output_attentions)\u001b[0m\n\u001b[1;32m 274\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mforward\u001b[39m(\n\u001b[1;32m 275\u001b[0m \u001b[39mself\u001b[39m,\n\u001b[1;32m 276\u001b[0m hidden_states: torch\u001b[39m.\u001b[39mTensor,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 282\u001b[0m output_attentions: Optional[\u001b[39mbool\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m,\n\u001b[1;32m 283\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Tuple[torch\u001b[39m.\u001b[39mTensor]:\n\u001b[0;32m--> 284\u001b[0m mixed_query_layer \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mquery(hidden_states)\n\u001b[1;32m 286\u001b[0m \u001b[39m# If this is instantiated as a cross-attention module, the keys\u001b[39;00m\n\u001b[1;32m 287\u001b[0m \u001b[39m# and values come from an encoder; the attention mask needs to be\u001b[39;00m\n\u001b[1;32m 288\u001b[0m \u001b[39m# such that the encoder's padding tokens are not attended to.\u001b[39;00m\n\u001b[1;32m 289\u001b[0m is_cross_attention \u001b[39m=\u001b[39m encoder_hidden_states \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[39m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[39m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_backward_pre_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_hooks \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[39mor\u001b[39;00m _global_backward_pre_hooks \u001b[39mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[39mor\u001b[39;00m _global_forward_hooks \u001b[39mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[39mreturn\u001b[39;00m forward_call(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1502\u001b[0m \u001b[39m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[39m=\u001b[39m [], []\n","File \u001b[0;32m~/miniconda3/lib/python3.11/site-packages/torch/nn/modules/linear.py:114\u001b[0m, in \u001b[0;36mLinear.forward\u001b[0;34m(self, input)\u001b[0m\n\u001b[1;32m 113\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mforward\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39minput\u001b[39m: Tensor) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Tensor:\n\u001b[0;32m--> 114\u001b[0m \u001b[39mreturn\u001b[39;00m F\u001b[39m.\u001b[39;49mlinear(\u001b[39minput\u001b[39;49m, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mweight, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mbias)\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "]}],"source":["# Initialize the preprocessor and annotator\n","processor = TextPreprocessor()\n","annotator = Annotator()\n","\n","# This takes about 20 minutes on Colab, CPU\n","# Though this time varies depending on bandwidth\n","for filename in tqdm.tqdm(os.listdir(DATA_DIR)):\n"," if utils.is_valid_file_extension(filename):\n"," df = utils.load_data(os.path.join(DATA_DIR, filename))\n","\n"," # Preprocess the data. We're just going to merge the utterances of the same speaker together and directly update the dataframe.\n"," df = processor.merge_utterances_from_same_speaker(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," target_text_column=TEXT_COLUMN\n"," )\n","\n"," # Now we're going to annotate the data.\n"," df = annotator.get_talktime(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," output_column=TALK_TIME_COLUMN\n"," )\n","\n"," df = annotator.get_student_reasoning(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," output_column=STUDENT_REASONING_COLUMN,\n"," # We just want to annotate the student utterances. So we're going to specify the speaker value as STUDENT_SPEAKER.\n"," speaker_value=STUDENT_SPEAKER\n"," )\n","\n"," df = annotator.get_uptake(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," output_column=UPTAKE_COLUMN,\n"," # We want to annotate the teacher's uptake of the student's utterances.\n"," # So we're looking for instances where the student first speaks, then the teacher speaks.\n"," speaker1=STUDENT_SPEAKER,\n"," speaker2=TEACHER_SPEAKER\n"," )\n","\n"," # And we're done! Let's now save the annotated data as a csv file.\n"," filename = filename.split(\".\")[0] + \".csv\"\n"," df.to_csv(os.path.join(ANNOTATIONS_DIR, filename), index=False)"]},{"cell_type":"markdown","metadata":{"id":"wj2tx1weU7pP"},"source":["## Analysis\n","\n","Now that we have annotated the dataset, let's analyze it using `edu-convokit`'s `Analyzer`. We'll be doing the following:\n","- We'll use `QualitativeAnalyzer` to look at some examples of the talktime, student reasoning and uptake annotations.\n","- We'll use `QuantitativeAnalyzer` to look at the aggregate statistics of the talktime, student reasoning and uptake annotations.\n","- We'll use `LexicalAnalyzer` to compare the student and tutor's vocabulary.\n","- We'll use `TemporalAnalyzer` to look at the temporal trends of the talktime, student reasoning and uptake annotations.\n","\n","Let's get started!!!"]},{"cell_type":"markdown","metadata":{"id":"TVT7G6N6U7pP"},"source":["### 🔍 Qualitative Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":495,"status":"ok","timestamp":1703934557558,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"F6Kav6GcU7pP","outputId":"c4e4d805-97ca-4212-f47e-88be8f0fe9ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["talktime: 34\n",">> Tutor: Okay, we're going to be talking back and forth like this, so you can close your chat box if you would like, and that'll open up your screen so you have more work space.\n","\n","talktime: 34\n",">> Tutor: So I understand what you're thinking. Don't worry about changing those dots. What is? where are you? Though, most likely that's causing you to be in stop and go traffic from D to E.\n","\n","talktime: 34\n",">> Tutor: We're going to look at just those three sections, A to b, B to c, C to D, and just those three sections of the graph. I'd like you to sketch a new graph.\n","\n","talktime: 1\n",">> Student: Then.\n","\n","talktime: 1\n",">> Student: At.\n","\n","talktime: 1\n",">> Student: But\n","\n","talktime: 11\n",">> Tutor: On the lefthand side of your screen, you see some tools.\n","\n","talktime: 11\n",">> Student: The distance by hour, like how far they're moving per hour.\n","\n","talktime: 11\n",">> Tutor: Is that point a a break? Is that what you just?\n","\n"]}],"source":["# We're going to look at examples from the entire dataset.\n","qualitative_analyzer = QualitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Examples of talktime. Will show random examples from the dataset.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TALK_TIME_COLUMN,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":113,"status":"ok","timestamp":1703934560717,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"6cPvJpRlU7pP","outputId":"939c1d0d-a27d-47c0-c63e-fa5da90479cf"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> Student: Um, maybe like they're measuring how far or how long it would take to get from Providence to Newark.\n","\n","student_reasoning: 1.0\n",">> Student: Uh, it's similar'cause the two different units I was talking about miles and hours and they're measuring the distance.\n","\n","student_reasoning: 1.0\n",">> Student: I'll just say A lo, Um, from A to B. it's increasing, and from B to C. it's staying the same from C to D. It's increasing from Dt. it's increasing.\n","\n"]}],"source":["# Examples of student reasoning. Let's look at positive examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703934561100,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"UZHe7HaRU7pP","outputId":"7772f8f0-acbf-4519-a52e-dff6b1f8d5a5"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n",">> Student: Um, how many miles per hour the car is driving?\n","\n","student_reasoning: 0.0\n",">> Student: The distance by hour, like how far they're moving per hour.\n","\n","student_reasoning: 0.0\n",">> Student: Uh, the mileage I think, is it? Ah, I do't.\n","\n"]}],"source":["# We can also look at negative examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=0.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":151,"status":"ok","timestamp":1703934562146,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"v57F3ljGU7pP","outputId":"2b19ff97-a424-4ed4-db8a-4f7dd9bc3865"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","Student: Um, maybe like they're measuring how far or how long it would take to get from Providence to Newark.\n",">> Tutor: Cool if they're measuring how far or how long what units would they be using to?\n","\n","uptake: 1.0\n","Student: Um, how many miles per hour the car is driving?\n",">> Tutor: Wo mile per hour be keeping track of.\n","\n","uptake: 1.0\n","Student: The distance by hour, like how far they're moving per hour.\n",">> Tutor: Ah, and do you know how else we can describe that? What's that thing that we're talking about with the car? if we're describing how far per hour it's going?\n","\n"]}],"source":["# Examples of uptake.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," # I want to look at positive examples of uptake (uptake = 1.0)\n"," feature_value=1.0,\n"," # ... and look at the previous student utterance (show_k_previous_lines = 1).\n"," # This is interesting because it will show us how the teacher is responding to the student's utterance.\n"," show_k_previous_lines=1,\n",")"]},{"cell_type":"markdown","metadata":{"id":"ofu3QH2MU7pP"},"source":["### 📊 Quantitative Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":616},"executionInfo":{"elapsed":983,"status":"ok","timestamp":1703934564429,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"UkqO4dmnU7pP","outputId":"4595a62a-c0af-4dd5-8d1d-4c1bb8fcfd0d"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","None 2.0 0.014643 0.012308 0.005940 0.010291 0.014643 0.018995 0.023346\n","Student 44.0 0.304822 0.213351 0.009091 0.159112 0.272535 0.367901 0.955194\n","Tutor 45.0 0.701301 0.215427 0.044806 0.631480 0.727766 0.840467 1.000000\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer = QuantitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's plot the talk time ratio between the speakers.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":747},"executionInfo":{"elapsed":941,"status":"ok","timestamp":1703934566294,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"hzLvzhHyU7pP","outputId":"b9925a5d-e14e-4a76-e824-0dd73e8e9a2a"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["student_reasoning\n","\n","Average statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","None 0.0 NaN NaN NaN NaN NaN NaN NaN\n","Student 38.0 0.154413 0.114317 0.0 0.056493 0.158859 0.238824 0.388889\n","Tutor 0.0 NaN NaN NaN NaN NaN NaN NaN\n","\n","\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# What about the student reasoning? How often does the student use reasoning?\n","quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We change this to \"avg\" because we're now looking at within-speaker statistics.\n"," value_as=\"avg\",\n"," # We can set the y-axis limits to [0, 1] because the student reasoning column is a binary column.\n"," yrange=(0, 1)\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"wD__EVCMU7pP"},"source":["Note, the tutor has no `student_reasoning` because we did not annotate the tutor's utterances for student reasoning.\n","We can easily remove the tutor from the plot by dropping na values:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":713},"executionInfo":{"elapsed":526,"status":"ok","timestamp":1703934568763,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"xop-U7CCU7pP","outputId":"d7786cd8-2132-4062-e4ac-354af6517101"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":539},"executionInfo":{"elapsed":603,"status":"ok","timestamp":1703934570319,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"7hFL7VpbU7pP","outputId":"ba98b1b3-12aa-455c-ca8f-221da59725f5"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"markdown","metadata":{"id":"km5QAOzXU7pQ"},"source":["## 💬 Lexical Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":21217,"status":"ok","timestamp":1703934592486,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"aWDhIodqU7pQ","outputId":"568b5046-d072-42d1-85f1-f9f64da10c7c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","Tutor\n","going: 942\n","miles: 929\n","okay: 810\n","like: 789\n","speed: 727\n","hour: 715\n","time: 711\n","car: 668\n","yeah: 620\n","graph: 579\n","\n","\n","Student\n","like: 1367\n","miles: 780\n","hour: 660\n","yeah: 564\n","would: 474\n","okay: 434\n","fifty: 431\n","point: 428\n","distance: 423\n","think: 411\n","\n","\n","None\n","okay: 4\n","cool: 1\n","yeah: 1\n","average: 1\n","make: 1\n","sense: 1\n","yep: 1\n","three: 1\n","four: 1\n","yes: 1\n","\n","\n","\n"]}],"source":["lexical_analyzer = LexicalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's look at the most common words per speaker in the dataset.\n","lexical_analyzer.print_word_frequency(\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 10 words per speaker.\n"," topk=10,\n"," # Let's also format the text (e.g., remove punctuation, lowercase the text, etc.)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"h3z4Ude0U7pQ"},"source":["The language between the two looks pretty similar. Let's run a log-odds analysis to see what words that are more likely to be used by the tutor vs. student."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":25035,"status":"ok","timestamp":1703934620837,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"0RC6oPiqU7pQ","outputId":"97365083-56bd-42de-f467-9b9faf5ee4e9"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# This returns the merged dataframe of the annotated files in DATA_DIR.\n","df = lexical_analyzer.get_df()\n","\n","# We want to create two groups of df: one for the student and one for the tutor.\n","student_df = df[df[SPEAKER_COLUMN] == STUDENT_SPEAKER]\n","tutor_df = df[df[SPEAKER_COLUMN] == TEACHER_SPEAKER]\n","\n","# Now we can run the log-odds analysis:\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=tutor_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # Let's name the df groups to show on the plot\n"," group1_name=\"Student\",\n"," group2_name=\"Tutor\",\n"," # Let's also run the text formatting\n"," run_text_formatting=True,\n",")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":901},"executionInfo":{"elapsed":22211,"status":"ok","timestamp":1703934643046,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"jMU0BbqDU7pQ","outputId":"00fdf8ca-cace-4889-cfa5-4379887a3b08"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# We might also be interested in other n-grams. Let's look at the top 10 bigrams per speaker.\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=tutor_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," group1_name=\"Student\",\n"," group2_name=\"Tutor\",\n"," run_text_formatting=True,\n"," # n-grams:\n"," run_ngrams=True,\n"," n=2,\n"," topk=10\n",")"]},{"cell_type":"markdown","metadata":{"id":"Lah3VQtzU7pQ"},"source":["## 📈 Temporal Analysis\n","\n","Let's look at the temporal trends of the talktime, student reasoning and uptake annotations!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1993,"status":"ok","timestamp":1703934648407,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"pFvHDA8qU7pQ","outputId":"6c52f123-667a-4a3f-c37e-f2feac7de343"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["temporal_analyzer = TemporalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# First let's look at the talk time ratio between the speakers over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":1546,"status":"ok","timestamp":1703934657800,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"-JTOzSNtU7pQ","outputId":"29c78db0-f8df-4d6b-abf9-dae0dd5d21ab"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Now student reasoning over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":2268,"status":"ok","timestamp":1703934664052,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Tmw7Db-ZU7pQ","outputId":"d6a07916-840b-409b-dc0b-b8391007fb1b"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10,\n",")"]},{"cell_type":"markdown","metadata":{"id":"sd26pOs-U7pQ"},"source":["## 📚 Conclusions and Next Steps\n","\n","Great! From this tutorial, we learned how to use `edu-convokit` to preprocess, annotate and analyze the Amber dataset.\n","We saw how very simple principles built into `edu-convokit` can be used to analyze the dataset and gain insights into the data from various perspectives (qualitative, quantitative, lexical and temporal).\n","\n","Other resources you can check out include:\n","- [Tutorial on edu-convokit for the NCTE dataset](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [Tutorial on edu-convokit for the TalkMoves dataset](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [`edu-convokit` documentation](https://edu-convokit.readthedocs.io/en/latest/)\n","- [`edu-convokit` GitHub repository](https://github.com/rosewang2008/edu-convokit/tree/main)\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 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**qualitatively** where you look at the data; for example, in the previous tutorial, we annotated the data for `student_reasoning` and you might be interested in looking at the specific instances of student reasoning.\n","- 📊 It can happen **quantitatively** where you look at the data in aggregate; for example, you might be interested in the average amount of time the student and educator talk.\n","- 💬 You might be interested in **lexically** analyzing the data; for example, you might be interested in what words the student uses the most compared to the educator.\n","- 📈 You might be interested in **temporally** analyzing the data; for example, you might be interested in the amount of time the student and educator talk over the course of their interaction.\n","- 🤖 You might also be interested in using **GPT** to analyze the data; for example, you might want GPT4 to summarize the transcript.\n","\n","## 📚 Learning Objectives\n","\n","In this tutorial, you will learn how to use `Analyzer` to satisfy all these analysis needs. You will learn how to use\n","\n","1. The Analyzer Modules\n"," - 🔍 Qualitative Analyzer (Section Link 🔗)\n"," - 📊 Quantitative Analyzer (Section Link 🔗)\n"," - 💬 Lexical Analyzer (Section Link 🔗)\n"," - 📈 Temporal Analyzer (Section Link 🔗)\n"," - 🤖 GPT Conversation Analyzer (Section Link 🔗)\n","2. The Different Data Entry Points for Analyzer\n"," - Single Transcript (Section Link 🔗)\n"," - Data Directory (Section Link 🔗)\n"," - List of Transcripts (Section Link 🔗)\n","\n","If you are interested in seeing examples of these analyzers on full datasets, please check out our other tutorials where we apply everything to the:\n","- [NCTE dataset with an elementary math classroom data](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [TalkMoves dataset with a K-12 math classroom data](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [Amber dataset, with 8th/0th grade math tutoring data](https://colab.research.google.com/drive/1Q3anUPcemMils4cz2gwEwDdKCjEdm6T9)\n","\n","If you want to add additional analysis to `edu-convokit`, please make a pull request to the [repo](https://github.com/rosewang2008/edu-convokit/).\n","\n","Without further ado, let's get started!"]},{"cell_type":"markdown","metadata":{"id":"5Bm5JVWeSDOU"},"source":["## Installation\n","\n","As always, we will start by installing and importing `edu-convokit`.\n"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":20098,"status":"ok","timestamp":1703932978537,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"V0MfrSbPSDOV","outputId":"8fd548fc-affd-434e-e414-6b69ba1749ba"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-req-build-dmdqg8qr\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-req-build-dmdqg8qr\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 87734dbfd1847bdee563aafd6aa1307238ef1478\n"," Preparing metadata (setup.py) ... \u001b[?25ldone\n","\u001b[?25hRequirement already satisfied: tqdm in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (4.65.0)\n","Requirement already satisfied: numpy in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (1.24.3)\n","Requirement already satisfied: scipy in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (1.10.1)\n","Requirement already satisfied: nltk in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (3.8.1)\n","Requirement already satisfied: torch in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (2.0.1)\n","Requirement already satisfied: transformers in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (4.29.2)\n","Requirement already 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(0.1.4)\n","Requirement already satisfied: cloudpathlib<0.17.0,>=0.7.0 in /Users/rewang/miniconda3/lib/python3.11/site-packages (from weasel<0.4.0,>=0.1.0->spacy->edu-convokit==0.0.1) (0.16.0)\n","Requirement already satisfied: MarkupSafe>=2.0 in /Users/rewang/miniconda3/lib/python3.11/site-packages (from jinja2->spacy->edu-convokit==0.0.1) (2.1.3)\n","Requirement already satisfied: mpmath>=0.19 in /Users/rewang/miniconda3/lib/python3.11/site-packages (from sympy->torch->edu-convokit==0.0.1) (1.3.0)\n","Building wheels for collected packages: edu-convokit\n"," Building wheel for edu-convokit (setup.py) ... \u001b[?25ldone\n","\u001b[?25h Created wheel for edu-convokit: filename=edu_convokit-0.0.1-py3-none-any.whl size=34342 sha256=36f4e05e8ae071db4c30d9e76b828261acc4e15791f3fdb400168d06ec423f37\n"," Stored in directory: /private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-ephem-wheel-cache-dfn5mogy/wheels/4b/9d/cf/a5b069f3d435ef1f583a9749713d46b338038ff982b0e7cb5e\n","Successfully built edu-convokit\n","Installing collected packages: edu-convokit\n","Successfully installed edu-convokit-0.0.1\n"]}],"source":["!pip install edu-convokit"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"dlGlmK8fSDOW"},"outputs":[{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package stopwords to\n","[nltk_data] /Users/rewang/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]}],"source":["from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer,\n"," GPTConversationAnalyzer\n",")\n","\n","# For helping us load data\n","from edu_convokit import utils"]},{"cell_type":"markdown","metadata":{"id":"Jo2zzSEDSDOW"},"source":["## 📑 Data\n","\n","Let's load the data annotated from the [last tutorial on using the `Annotator` to annotate the data](TODO).\n","It's a transcript from the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves).\n","It contains our annotations on talk time, student reasoning, teacher focusing questions, and conversational uptake.\n"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":397},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"jSi92MGrSDOW","outputId":"9d1c010c-8408-49c4-9d59-c8125747ca28"},"outputs":[],"source":["!wget https://github.com/rosewang2008/edu-convokit/blob/main/data/annotated_data.csv\n","\n","data_fname = \"annotated_data.csv\"\n","df = utils.load_data(data_fname) # Handles loading data from different file types including: .csv, .xlsx, .json\n","\n","# Here are the same variables we used in the previous notebook\n","TEXT_COLUMN = \"Sentence\"\n","SPEAKER_COLUMN = \"Speaker\"\n","known_replacement_names = [f\"[STUDENT_{i}]\" for i in range(3)]\n","\n","# Annotation columns from the previous notebook\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","TEACHER_FOCUSING_QUESTION_COLUMN = \"focusing_questions\"\n","UPTAKE_COLUMN = \"uptake\"\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"TuWoJm_4SDOW"},"source":["## 🔍 Qualitative Analysis\n","\n","Let's start by looking at the data qualitatively.\n","We will use the `QualitativeAnalyzer` to look at the data.\n","\n","Ever wondered whether there was a quick way to ...\n","- Look at examples of student reasoning?\n","- Look at examples of educator focusing questions?\n","- Look at examples of high conversational uptake by the educator?\n","\n","This is where the `QualitativeAnalyzer` comes in handy!\n","\n","Let's start by looking at examples of student reasoning."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"uBtCiL5fSDOW","outputId":"91cc464b-7f2e-4e05-e67f-3d9fc43d9c0d"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","\n","student_reasoning: 1.0\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","\n","student_reasoning: 1.0\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","\n"]}],"source":["qual_analyzer = QualitativeAnalyzer()\n","\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," # We want to look at examples for the reasoning feature\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," # We want to look at positive examples of reasoning\n"," feature_value=1.0,\n"," # Let's look at 3 examples\n"," max_num_examples=3\n",")"]},{"cell_type":"markdown","metadata":{"id":"pxNTnJS8SDOX"},"source":["🎉 Great! This is a quick way to look at examples of student reasoning.\n","\n","If you're curious in looking at the preceding and succeeding utterances (for context), you can easily do that by specifying the number of lines:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ymvdkfBQSDOX","outputId":"294b4c77-04e5-4f1e-fc02-f2d7cac639f4"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","\n","student_reasoning: 1.0\n","T: Ok\n","[STUDENT_1]: So there’s six sixths\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","\n","student_reasoning: 1.0\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. I’m confused about the little white rods, I am following you right up to that point.\n","\n"]}],"source":["qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," # We want to look at the previous 2 lines of context\n"," show_k_previous_lines=2,\n"," # We also want to look at the next 1 line of context\n"," show_k_next_lines=1\n",")"]},{"cell_type":"markdown","metadata":{"id":"aCAsuOJzSDOX"},"source":["🎉 Awesome! Another handy way to use `QualitativeAnalyzer` is to look at both positive and negative examples of student reasoning.\n","You can do that by omitting the feature values specification:\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"KF0N6N8DSDOX","outputId":"592f0531-103c-4634-a45a-b631f940e1cd"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n","T: I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger and if so, if one is bigger, by how much. Why don’t you work with your partner and see what you can do.\n",">> [STUDENT_0]: Try the purples. Get three purples. It doesn’t work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n","\n","student_reasoning: 0.0\n","[STUDENT_0]: Try the purples. Get three purples. It doesn’t work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n",">> [STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n","\n","student_reasoning: 0.0\n","[STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n",">> [STUDENT_0]: We’re not doing the one third, we’re doing two thirds. That is one third\n","[STUDENT_1]: First we’ve got to find out what a third of it is. What’s a third of an orange?\n","\n","student_reasoning: 1.0\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","\n","student_reasoning: 1.0\n","T: Ok\n","[STUDENT_1]: So there’s six sixths\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","\n","student_reasoning: 1.0\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. I’m confused about the little white rods, I am following you right up to that point.\n","\n"]}],"source":["qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," max_num_examples=3,\n"," show_k_previous_lines=2,\n"," show_k_next_lines=1,\n"," # feature_value=\"1.0\", Omitted!\n",")"]},{"cell_type":"markdown","metadata":{"id":"vuJsicX_SDOX"},"source":["🎉 Great! Looking at examples of focusing questions and high conversational uptake will be similar to the example above for student reasoning."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":7,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"1vlH-X7WSDOX","outputId":"227158c4-75ad-4762-863b-00359c5df16a"},"outputs":[{"name":"stdout","output_type":"stream","text":["focusing_questions: 1.0\n","[STUDENT_1]: And you put six ones up to the dark green\n",">> T: Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","[STUDENT_1]: One sixth\n","T: One sixth.\n","\n"]}],"source":["# Examples of focusing questions.\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TEACHER_FOCUSING_QUESTION_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," show_k_previous_lines=1,\n"," # We might be more interested in the discourse that follows the focusing question!\n"," # So increasing `show_k_next_lines`\n"," show_k_next_lines=2,\n",")\n","\n","# There's only one example of focusing questions, so it'll only print out one example."]},{"cell_type":"markdown","metadata":{"id":"2o7TPbpdSDOX"},"source":["💡 Note: This function shows us interesting examples of when teachers use focusing questions. This is a great way to get a sense of how the teacher uses questions to guide the discourse in teaching."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Q1RVj8pMSDOX","outputId":"b85f9c91-da51-4d9a-ba81-40731ab4f313"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","[STUDENT_0]: Yeah, I know, and put ‘em up to there, and that would be one sixth. Hey, wait a minute, hey wait, maybe that’s it, yeah it’s bigger by one sixth\n",">> T: Now take six of the ones Which is bigger?\n","\n","uptake: 1.0\n","[STUDENT_1]: And you put six ones up to the dark green\n",">> T: Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","\n"]}],"source":["# Examples of focusing questions.\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," # We're more interested in what precedes the high uptake.\n"," show_k_previous_lines=1,\n"," show_k_next_lines=0,\n",")"]},{"cell_type":"markdown","metadata":{"id":"sfT-21Z3SDOY"},"source":["💡 Note: This shows us examples of when the teacher is building on the contribution of the student. This can be useful in seeing high engagement between the teacher and student."]},{"cell_type":"markdown","metadata":{"id":"ozT9Li4aSDOY"},"source":["Awesome, this conclude the tutorial on `QualitativeAnalyzer`.\n","For more information on this class, please refer to our [documentation](TODO).\n","\n","We're now going to move onto the `QuantitativeAnalyzer`."]},{"cell_type":"markdown","metadata":{"id":"MzhE8QNESDOY"},"source":["## 📊 Quantitative Analysis\n","\n","Let's start by looking at the data quantitatively.\n","We will use the `QuantitativeAnalyzer` to look at the data.\n","\n","Ever wondered whether there was a quick way to report aggregate statistics on:\n","- Talk time?\n","- Student reasoning?\n","- Teacher focusing questions?\n","- Conversational uptake?\n","\n","This is where the `QuantitativeAnalyzer` comes in handy!"]},{"cell_type":"markdown","metadata":{"id":"z7TWe8BASDOY"},"source":["Let's say we want to understand the talk time percentage split between the student and educator.\n","We might want to know the statistic and plot the data.\n","Here's how we can do that:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"bKW8nU8xSDOY","outputId":"043e966a-e7a6-4457-8233-20c2d677fea7"},"outputs":[{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","T 1.0 0.252459 NaN 0.252459 0.252459 0.252459 0.252459 0.252459\n","T 2 1.0 0.218579 NaN 0.218579 0.218579 0.218579 0.218579 0.218579\n","[STUDENT_0] 1.0 0.144262 NaN 0.144262 0.144262 0.144262 0.144262 0.144262\n","[STUDENT_1] 1.0 0.377049 NaN 0.377049 0.377049 0.377049 0.377049 0.377049\n","[STUDENT_1] and [STUDENT_0] 1.0 0.005464 NaN 0.005464 0.005464 0.005464 0.005464 0.005464\n","[STUDENT_2] 1.0 0.002186 NaN 0.002186 0.002186 0.002186 0.002186 0.002186\n"]}],"source":["analyzer = QuantitativeAnalyzer()\n","\n","analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\" # We want to see the proportion of talk time\n",")"]},{"cell_type":"markdown","metadata":{"id":"Wj41-H5GSDOY"},"source":["🎉 Great! This is a quick way to look at aggregate statistics on talk time.\n","\n","💡 Note: In this single file, we can see under `mean` that `[STUDENT_1]` talks quite often --- about 38% of the time!\n","\n","❓ Curious about looking at aggregate statistics over multiple files? Jump to the section on [Data Entry Points](#data-entry-points-for-analyzer) to learn more.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"vApaOpY6SDOY"},"source":["Similarly, we can plot this statistics:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":478},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1703932983233,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"SvyPwQTmSDOY","outputId":"0dd60f3d-93a5-4bfc-c7a3-438cdf0fb8dc"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"MBZNWYhySDOY"},"source":["The speaker names are too long and so they overlap. We can fix this by creating a dictionary that maps the speaker names to shorter names:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":495},"executionInfo":{"elapsed":399,"status":"ok","timestamp":1703932983630,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"MturhuoASDOY","outputId":"48b3219d-9b0d-46e8-a7b9-a8d5efa76b2f"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Create speaker mapping to A, B, C, D\n","label_mapping = {\n"," speaker: chr(ord('A') + i) for i, speaker in enumerate(df[SPEAKER_COLUMN].unique())\n","}\n","\n","print(f\"Mapping: {label_mapping}\")\n","\n","# Pass this mapping into the analyzer\n","analyzer.plot_statistics(\n"," # Everything else is the same\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # We want to use the mapping we created\n"," label_mapping=label_mapping\n",")"]},{"cell_type":"markdown","metadata":{"id":"C4UignsSSDOY"},"source":["🎉 Great, these simple examples show how we can report quantitative statistics on talk time.\n","\n","The other statistics are similar to the example above for talk time. For conciseness, we will omit them here; but the only thing you need to do is change the `feature_column` argument to the feature you want to analyze."]},{"cell_type":"markdown","metadata":{"id":"HvFEDDc7SDOY"},"source":["We'll now move onto the `LexicalAnalyzer`."]},{"cell_type":"markdown","metadata":{"id":"oj-DUr3lSDOZ"},"source":["## 💬 Lexical Analysis\n","\n","A lexical analysis is an analysis on the words used in the data.\n","This is useful for understanding the low-level language (i.e., word usage) used by the student and educator.\n","While a lexical analysis may be too low-level for capturing e.g., the meaning of the discourse, it can be a useful first step in capturing language trends in the data.\n","\n","We will give a simple demonstration of two features of the `LexicalAnalyzer`:\n","- Word Frequency: We will look at the most frequent words used by each speaker.\n","- Log-Odds: We will look at the log-odds of words used by each speaker (i.e., which words are more likely to be used by the student vs. the educator)."]},{"cell_type":"markdown","metadata":{"id":"pnvN9tubSDOZ"},"source":["First, let's look at the most frequent words used by each speaker."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":268,"status":"ok","timestamp":1703932983895,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"KcHsx0k2SDOZ","outputId":"678524a6-07fb-4333-a0fc-69a2c717e07d"},"outputs":[{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]},{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","T\n","works: 6\n","one: 5\n","bigger: 4\n","models: 4\n","write: 3\n","\n","\n","[STUDENT_0]\n","one: 10\n","would: 5\n","third: 4\n","yeah: 3\n","bigger: 3\n","\n","\n","[STUDENT_1]\n","one: 16\n","two: 13\n","take: 9\n","put: 8\n","yeah: 8\n","\n","\n","[STUDENT_2]\n","one: 1\n","half: 1\n","\n","\n","[STUDENT_1] and [STUDENT_0]\n","well: 1\n","bigger: 1\n","one: 1\n","\n","\n","T 2\n","one: 9\n","two: 8\n","interesting: 5\n","okay: 4\n","twelfths: 4\n","\n","\n","\n"]}],"source":["\n","import nltk\n","nltk.download(\"stopwords\")\n","\n","analyzer = LexicalAnalyzer()\n","\n","analyzer.print_word_frequency(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 5 words\n"," topk=5,\n"," # We want to format the text e.g., remove punctuation and stopwords (https://en.wikipedia.org/wiki/Stop_word)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"rwJe7D4eSDOZ"},"source":["🎉 Nice, that was easy!\n","\n","💡 We can see that there's a lot of use of numbers and fractions (\"one\", \"third\"), in addition to comparison language (\"bigger\").\n","\n","If you want to see the most frequent words overall, you can omit the `speaker_column` argument:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":158,"status":"ok","timestamp":1703932984051,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"SqQkuvpQSDOZ","outputId":"c0c6f667-2c2d-4e37-8e18-37f012278828"},"outputs":[{"name":"stdout","output_type":"stream","text":["one: 42\n","two: 25\n","bigger: 15\n","yeah: 12\n","sixth: 11\n","\n"]}],"source":["analyzer.print_word_frequency(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," # Bye! We don't care about the speaker anymore\n"," # speaker_column=SPEAKER_COLUMN,\n"," topk=5,\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"ID5leTsgSDOZ"},"source":["🎉 Great, this is a quick way to look at the most frequent words used by each speaker.\n","\n","❓ Curious in looking into common n-grams for the speakers? Please refer to our [documentation](TODO) for more information.\n","\n","Let's now move onto the log-odds analysis."]},{"cell_type":"markdown","metadata":{"id":"eqnSBAjhSDOZ"},"source":["💡 Why a log-odds analysis?\n","\n","Going beyond just counting frequent words in the student and teacher's utterances, we might be interested in the chances of a word occurring in the student's text over it occurring in the teacher's text.\n","\n","This gets us to a log-odds analysis on the words. For more information on log-odds analysis, please refer to [this paper](https://languagelog.ldc.upenn.edu/myl/Monroe.pdf) which applied the same analysis to study language use in political speeches.\n"]},{"cell_type":"markdown","metadata":{"id":"dFu3dUGnSDOZ"},"source":["In order to run a log-odds analysis, we need to specify two groups of texts we want to compare to each other.\n","In this case, we are interested in comparing the student's text to the teacher's text.\n","So let's split our original dataframe into these two groups and pass them into the log-odds analysis."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":230,"status":"ok","timestamp":1703932984279,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"MwyZSoZVSDOZ","outputId":"486ad4e4-ad20-4b69-8720-30ca320951fc"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top words for Group 1\n","put: 1.5082544501223418\n","yeah: 1.4243179151183505\n","third: 1.323889968245073\n","take: 1.2333974083596422\n","green: 1.1289734037070032\n","\n","\n","Top words for Group 2\n","works: -1.5890822958913073\n","models: -1.5890822958913073\n","interesting: -1.447190205063502\n","see: -1.291347559145683\n","okay: -1.291347559145683\n","\n"]}],"source":["speakers = df[SPEAKER_COLUMN].unique()\n","# Student speakers are ones that contain STUDENT in their name\n","student_speakers = [speaker for speaker in speakers if \"STUDENT\" in speaker]\n","# Teacher speakers are all the other speakers\n","teacher_speakers = [speaker for speaker in speakers if speaker not in student_speakers]\n","\n","# Now let's split the data frame into two data frames: one for student speakers and one for teacher speakers\n","student_df = df[df[SPEAKER_COLUMN].isin(student_speakers)]\n","teacher_df = df[df[SPEAKER_COLUMN].isin(teacher_speakers)]\n","\n","# We can now run the analyzer:\n","analyzer.print_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # We want to look at the top 5 words\n"," topk=5,\n"," # We still want to format the text\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"cPDcA-w6SDOZ"},"source":["🎉 Awesome, this shows us both the words and odds of the words used by the student (Group 1) and educator (Group 2).\n","\n","We can also plot this with a similar function call:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":864,"status":"ok","timestamp":1703932985141,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"bxzNuucaSDOZ","outputId":"403c2f16-44b6-4238-a4ca-d2037ba78ced"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["\n","analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," topk=5,\n"," run_text_formatting=True,\n"," # We can pass plot labels for group 1 and 2\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"SyzzFtyeSDOe"},"source":["Neat, this concludes the tutorial on `LexicalAnalyzer`.\n","There are other features of the `LexicalAnalyzer` that we did not cover here such as reporting n-gram frequency or performing a log-odds analysis on n-grams.\n","For more information on these features, please refer to our [documentation](TODO).\n","\n","We'll now move onto the last analyzer, the `TemporalAnalyzer`!"]},{"cell_type":"markdown","metadata":{"id":"qrWrCPZXSDOe"},"source":["## 📈 Temporal Analysis\n","\n","A temporal analysis is an analysis on the features over time.\n","We define time as the time over the course of the transcript.\n","\n","\n","Let's see how we can look at the talk time ratio (which we summarized before quantitatively) over time.\n","This setup will look similar to the quantitative analysis however the key difference is that we will specify a `num_bins` argument to specify the number of bins we want to split the transcript into.\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":495},"executionInfo":{"elapsed":1083,"status":"ok","timestamp":1703932986222,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"N0vcQ2ikSDOe","outputId":"36f6073a-9c36-40a8-9ec0-abb51059fd08"},"outputs":[{"name":"stdout","output_type":"stream","text":["Label mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["analyzer = TemporalAnalyzer()\n","\n","# We'll use the same label mapping as before to abbreviate the speaker names\n","print(f\"Label mapping: {label_mapping}\")\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to see the proportion of talk time\n"," value_as=\"prop\",\n"," # We will split the session into 5 bins\n"," num_bins=5,\n"," # We want to use the mapping we created\n"," label_mapping=label_mapping\n"," )\n"]},{"cell_type":"markdown","metadata":{"id":"0icWtQQhSDOe"},"source":["🎉 Plotting the temporal data was straightforward!\n","\n","💡 There are some interesting observations, for example:\n","- Speaker B ([STUDENT_0]) decreases their talk time over time whereas\n","- Speaker C (the other student, [STUDENT_1]) has fluctuating talk time over time.\n"]},{"cell_type":"markdown","metadata":{"id":"ZuvYrgFkSDOf"},"source":["Let's also look at the conversational uptake over time. Remember that conversational uptake is looking at how the teacher builds on the student's contribution.\n","So we'll only see values on the teacher speaker, and not the students (that's how the feature was annotated)."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":549},"executionInfo":{"elapsed":1801,"status":"ok","timestamp":1703932988019,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"0IPO97XYSDOf","outputId":"25ec7eb9-21b0-4881-9559-bb1867f4ee63"},"outputs":[{"name":"stdout","output_type":"stream","text":["Label mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# We'll use the same label mapping as before to abbreviate the speaker names\n","print(f\"Label mapping: {label_mapping}\")\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to see the average uptake (this is different from proportion: average looks at within-speaker average, whereas proportion looks at across-speaker average)\n"," value_as=\"avg\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )"]},{"cell_type":"markdown","metadata":{"id":"Plt3Yeg4SDOf"},"source":["💡 Super interesting! In this transcript, we see that the teacher's conversational uptake _decreases_ over time.\n","\n","This example shows how powerful a temporal analysis can be in understanding the data and how `TemporalAnalyzer` makes it easy to perform this analysis.\n","There are many other features that you can perform a temporal analysis on. For more information, please refer to our [documentation](TODO)."]},{"cell_type":"markdown","metadata":{},"source":["## 🤖 GPT Analysis\n","\n","Finally, we can use GPT to analyze the data. This is a powerful tool that can be used to summarize the transcript, or generate other natural language analysis insights. \n","\n","In order for this to work, you need to set your API key below.\n","\n","⚠️ **Warning**: Never publicly share your API key! If you are using this notebook in a public setting, please remove your API key before sharing. "]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[],"source":["import os\n","os.environ[\"OPENAI_API_KEY\"] = \"YOUR_API_KEY\""]},{"cell_type":"markdown","metadata":{},"source":["Before we prompt the model, we can preview the prompt with the `preview_prompt` function. This will show us the prompt that will be sent to the model."]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Consider the following transcript of a conversation between a teacher and a student.\n","\n","Transcript:\n","T: I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger and if so, if one is bigger, by how much. Why don’t you work with your partner and see what you can do.\n","[STUDENT_0]: Try the purples. Get three purples. It doesn’t work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n","[STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n","[STUDENT_0]: We’re not doing the one third, we’re doing two thirds. That is one third\n","[STUDENT_1]: First we’ve got to find out what a third of it is. What’s a third of an orange?\n","[STUDENT_0]: One third?\n","[STUDENT_1]: What’s third of an orange? Let’s start a different model. The green. The green, half of it is the light green\n","[STUDENT_0]: Alright, yeah, I was thinking of that way before\n","[STUDENT_1]: And you can take the take the red, and the light green, and put it up to it , it’s, she asked, is one half bigger than, what did she ask? What did she ask?\n","[STUDENT_0]: She asked, which is bigger, one half or two thirds?\n","[STUDENT_1]: One half or two thirds? Now take six of the ones\n","[STUDENT_0]: Yeah, I know, and put ‘em up to there, and that would be one sixth. Hey, wait a minute, hey wait, maybe that’s it, yeah it’s bigger by one sixth\n","T: Now take six of the ones Which is bigger?\n","[STUDENT_2]: One half \n","[STUDENT_0]: I think one half is...\n","T: Yes, [STUDENT_0] and [STUDENT_1]?\n","[STUDENT_0]: What do you have?\n","[STUDENT_1] and [STUDENT_0]: Well\n","[STUDENT_0]: we think\n","[STUDENT_1]: two thirds\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n","[STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","[STUDENT_1]: If you put it up to a whole\n","T: I’m sorry, what’s the number name for dark green\n","[STUDENT_1] and [STUDENT_0]: One\n","T: Ok.\n","[STUDENT_1]: And you put six ones up to the dark green\n","T: Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","[STUDENT_1]: One sixth\n","T: One sixth.\n","[STUDENT_0]: And then these, this would be\n","[STUDENT_1]: We’re calling them each sixths,\n","T: Ok\n","[STUDENT_1]: So there’s six sixths\n","[STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","[STUDENT_1]: Yeah, mm hmm.\n","T: Ok, could you write that up? Uh, let me get you some paper, I want you to write that up. And see if you can make me - if it works for other models because some students don’t believe that it works for other models and I think you two believe that it works for other models\n","[STUDENT_1]: Mmm hmm, yeah\n","T: So can you try to find some so that you can try to convince them that it should work for other models, and come up with a way of explaining it to the class, ok? That if it works, if you really believe it, that if it works for one it works for others, and then write this up, let me get you some paper.\n","[STUDENT_1]: Seven, nine, ten, I need them. Go get another box.\n","T 2: Ok I see you had your hands up over here?\n","[STUDENT_1]: Yeah\n","T 2: Let me come around and see what you’re doing.\n","[STUDENT_1]: We found two answers\n","[STUDENT_0]: Well, I have three.\n","T 2: You have two solutions... three. Ok, let me hear about one of these models. Here, which one do you want to tell me about?\n","[STUDENT_1]: That one.\n","T 2: Yeah, that's an interesting looking one, tell me about it.\n","[STUDENT_1]: Now if you call this rod one...\n","T 2: The orange and red together?\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n","[STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. I’m confused about the little white rods, I am following you right up to that point.\n","[STUDENT_1]: If you put the white rods up to here, there's twelve of them, and then you call them twelfths, because there are twelve of them.\n","T 2: All right, okay.\n","[STUDENT_1]: And then you take the two thirds, and you take two twelfths, and then you put it up to the thirds and it is bigger by two tens... two twelfths.\n","T 2: By two twelfths, okay.\n","[STUDENT_1]: If you use this model...\n","T 2: Uh hmm.\n","[STUDENT_1]: And if you use this model\n","T 2: Uh hmm.\n","[STUDENT_1]: And you call these sixths, and you put this one up to it and it is bigger than one sixth.\n","T 2: Okay, so here it was bigger by two twelfths and here it was bigger by one sixth.\n","[STUDENT_1]: Yeah.\n","T 2: That's interesting. Could we call the difference between the two thirds and the one half in this model another number name besides two twelfths?\n","[STUDENT_1]: Um, yeah, well, maybe...\n","T 2: You said two of those little white ones were two twelfths, right?\n","[STUDENT_1]: Yeah, and maybe since two of these little white ones equals up to one of these or it's one fifth, oh, I mean one sixth, the reds\n","T 2: Oh, that's interesting, that's kind of interesting, then, so if you then used the reds to describe the difference, you could call this one sixth, the difference.\n","[STUDENT_1]: Uh hmm.\n","T 2: And over here one of the whites you say is one sixth?\n","[STUDENT_1]: Yeah.\n","T 2: Oh, that’s interesting, two different models. Okay.\n","\n","Please summarize the conversation in a few sentences.\n","\n","Summary:\n"]}],"source":["analyzer = GPTConversationAnalyzer()\n","prompt = analyzer.preview_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," format_template=\"{speaker}: {text}\",\n"," )\n","print(prompt)"]},{"cell_type":"markdown","metadata":{},"source":["Now you can prompt the model with the `prompt_model` function. This will return the response from the model."]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The teacher asked the students to determine which is larger, one half or two thirds, and by how much. The students used different colored rods to represent fractions and concluded that two thirds is larger than one half by one sixth. They then tested their theory with different models, using different rods to represent different fractions, and found that their conclusion held true. The teacher encouraged them to write up their findings and explain them to the class.\n"]}],"source":["prompt, response = analyzer.run_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," format_template=\"{speaker}: {text}\",\n"," )\n","print(response)"]},{"cell_type":"markdown","metadata":{},"source":["There are many other prompts that you can perform a GPT analysis on. For more information, please see our prompts database [here](https://github.com/rosewang2008/edu-convokit/tree/main/edu_convokit/prompts/)."]},{"cell_type":"markdown","metadata":{"id":"LRhJXgt1SDOf"},"source":["## Data Entry Points for Analyzer\n","\n","In the previous sections, we looked at how to use the `Analyzer` modules on a single transcript.\n","However, you might be interested in analyzing multiple transcripts at once.\n","In this section, we will look at the different data entry points for the `Analyzer` modules.\n","We'll use the `TemporalAnalyzer` as an example for demonstrating the different data entry points."]},{"cell_type":"markdown","metadata":{"id":"iiP-beWYSDOf"},"source":["### Single Transcript\n","\n","In the previous example, we saw how to analyze a single transcript. We did this by loading the transcript into a dataframe and passing it into every function call of `TemporalAnalyzer` like:\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1869,"status":"ok","timestamp":1703932989886,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"dUrIfQuFSDOf","outputId":"426921fb-8bdd-4726-89a9-5db53f16e5fb"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["analyzer = TemporalAnalyzer()\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )"]},{"cell_type":"markdown","metadata":{"id":"EFjRkmhFSDOf"},"source":["Another way, we could have done this is by passing either (a) the transcript file path or (b) dataframe into the `TemporalAnalyzer` constructor:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":920},"executionInfo":{"elapsed":2380,"status":"ok","timestamp":1703932992263,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"zEWhGKldSDOf","outputId":"12a8c3d9-b652-433a-f8bc-875a75b7be1e"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAG7CAYAAAAmOVo2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADIUUlEQVR4nOzdd1hT59sH8G8GYe+NgAgIqCCgKKC4N7ZWbeterXv+tFbrtlqtrbb21bq1tc466q64J4qCICouhoqA7L0CWef9AzkhRRkh4STh+VxXr/o8OeM+jHDnmSyKoigQBEEQBEEQYDMdAEEQBEEQhKogiRFBEARBEMR7JDEiCIIgCIJ4jyRGBEEQBEEQ75HEiCAIgiAI4j2SGBEEQRAEQbxHEiOCIAiCIIj3uEwHoE5EIhEKCgqgra0NNpvklARBEAShDiQSCcrLy2FsbAwut+bUhyRG9VBQUIDExESmwyAIgiAIQg5OTk4wNzev8RiSGNWDtrY2gIovrK6urkKvLRaLERcXBzc3N3A4HIVeWxVo+vMBmv+M5PnUn6Y/o6Y/H6D5z6is5+Pz+UhMTKT/jteEJEb1UNl9pqurCz09PYVeWywWAwD09PQ09ocd0NznAzT/GcnzqT9Nf0ZNfz5A859R2c9Xl2EwZKAMQRAEQRDEeyQxIgiCIAiCeI8kRgRBEARBEO+RxIggCIIgCOI9khgRBEEQBEG8RxIjgiAIgiCI90hiRBAEQRAE8R5JjAiCIAiCIN4jiRFBEARBEMR7JDEiCIIgCIJ4jyRGBEEQBEEQ75HEiCAIgiAI4j2SGBEEQQB49joHl6PzkZCcz3QoBEEwiCRGBEE0eTeikrFs5z2EvSjGsp33UC4UMx0SQRAMIYkRQRBN2r2YNPzfkWhQVEVZKJKAXyZiNiiCIBjDZToAgiAIpkTHZmL9gUhIJBRdN7S7C0wMtRmMiiCapjcvHuHGyb8gYbHQvJk1LGzsGYmDtBgRBNEkPX+Tg7V/RUAkltB1fq76GNXPncGoCKJpynyXiIuHt6G0uABlRfl4/uAWY7GQFiOCIJqchJR8rNpzH+UC6Viibu2aoZs7wGKxGIyMIJqe0uJChBz4HWKRkK6zsHVkLB7SYkQQRJOSnFGElbvuobTKOKIATxvM+dIbbJIUEUSjEotFuHh4G4oLcuk6U7sWcPMOYCwm0mJEEESTkZ5TgmU7wlBYIqDrfFpaYuFYP7BJTkQQje7O+SNIfRNLl00tbeHaoQ9YbObabUiLEUEQTUJOAR/LdoQht7CMrmvlZIalX3WEFpfDYGQE0TQ9j7yNmHvX6DJPRxf9R88EV4vHYFQkMSIIogkoKC7H8p1hyMgtpeuc7YyxYlIAdLRJwzlBNLb0pFe4efqAtILFQr8R02BiYcNcUO+RxIggCI1Wwhdi5e57SM4opuvsrQywemogDHS1GIyMUAaKomo/iGBUSWE+LhzaAolYOs4vsO/naO7elsGopMhHJYIgNFZZuQir9tzHq5QCus7KTA8/TO0EYwOyVpEmyecXYO3tLUgvzMR4Ez56u3ZhOiTiA8QiIS4c2oKSwny6ztWrA9p1C2YuqP8gLUYEQWgkoUiMH/+KwItE6WwXMyNtrJnaCRYmugxGRijDwcen8DY/BeUSAXZFHca95CimQyL+g6Io3Dp7EOlJr+g6cxsH9Ppiokotk6HSLUaRkZHYtGkTEhISwGazERAQgAULFsDGpu59kHFxcdi+fTsePXqE0tJSaGtro3Xr1pg0aRL8/PyUGD1BEEwRiyXYcDAK0XFZdJ2hHg+rp3aCrYU+g5ERypDHL8Dd5EiZui33/4KZrgncLVwYior4r2cRN/H8wW26rK2rj4FjZ0OLp1qttyrbYnT//n2MHz8evr6+CA0NxYULF1BQUIBhw4YhKyur9gsAuHXrFkaOHIlu3brhypUrCA8Pxw8//IC7d+/i4cOHSn4CgiCYIJFQ2HQ0Gvdi0ug6XW0uVk8JRHMbIwYjI5TlUsItiCWyG/8KJSKsD92O9KJMhqIiqkp9E4fbZw/RZRaLhf6jZsDIzJLBqD5MJRMjkUiE5cuXw9HREXPnzgWXy4WRkRHWrl2L7OxsbNy4sdZr5ObmYsGCBZg5cyYGDx4MLreicaxbt24YN24cLC1V75tBEETDUBSFXadjcCMqha7jaXGwclIAXB1MmAuMUBqBSIArr0I/+FqRoAQ/3t6CwvLiD75ONI6i/BxcOLwVkirJa+fg4XBwbc1gVB+nkolReHg4kpKS0LdvX7CrLPJkbW0NHx8fnD9/HiUlJTVe48iRIyguLsbnn39e7bUFCxZgyJAhCo+bIAhmHbjwAufvvqHLXA4LSyd0RBtncwajIpTpTtIDFFVJfHpa+MPN3JkupxdnYUPodgjEwg+dTiiZSChAyMEt4BcX0nXuPoHw7tyXwahqppKJUUREBADA3b36Zo4eHh4oLy/H48ePa7zG1atX4eDgAGNjY6XESBCEajl+LQ7Hr8XTZTYLWDDGD+08rBiMilAmiqJwPu46XdbX0oO3kQfmd5oCGwNpr0BszmtsDd8HCSX50GUIJaEoCjdO7UPWu0S6zrKZE3oMnaBSg63/SyUTozdvKj7xWVlVf0OrrEtMTPzo+WKxGPHx8bCyssK9e/fw1VdfoXPnzujatSvmzJmDly9fKiVugiCYcf7Oa+wPeSFT978RvujU1o6hiIjG8DQzFskFqXS5l3Nn8NhaMNI2wOKus2DIkw60v5cchcNPzjARZpP1JOwKYqPD6LKuviGCx8xifGXr2qjkrLTi4opmUR0dnWqvVdYVFRV99PzCwkIIBALExcVh0aJFWL9+Pdq3b4+kpCQsWLAAw4YNw19//YV27drJFZ9YLIZYLK79wHpes+r/NY2mPx+g+c+oqs93PTIZO07FyNRNGeyJbr7N6hWrqj6fImnaM/778ir9bzaLjV5OnZH6KgVisRhWeuaY32kK1t7+HUJJxUKCZ19ehoWuKfq4qO8aR+ryPUx59QJ3Qo7SZTabg74jpkPP0KTG2JX1fPW5nkomRg1VXl4OAMjPz8fPP/8Mf39/AICzszPWr1+PgQMHYs2aNTh58qRc14+Li1NYrP8VExNT+0FqTNOfD9D8Z1Sl53ueVIrjd3Nl6np5G8FOLx+PHj2S65qq9HzKognPmCsoQHT6M7rspu+E1FcVg+6rPl+wVVecSZd2t+2NPobC9Hy46Ds0XrBKoMrfw7KSQsRcOwZKIu26bO4dhMyCUmTW8feSyedTycTIwMAAAFBWVlbttco6Q0PDj55ftaUpMDBQ5jUXFxc0a9YMz549Q25uLszMzOodn5ubG/T09Op9Xk3EYjFiYmLg5eUFDkfzNrTU9OcDNP8ZVe35omMzcfLeA1TdAeLzHi4YO6CVXNdTtedTBk16xr3Rx2TKozsMRQsTh2rP5wMf6Mca4XDMaQAABQrnMm9gZfd5aGGqfsmRqn8PhYJynNr1E0QC6d9vj/ZB6D54TJ3GFSnr+UpLS+vcqKGSiVGLFi0AAJmZ1defqKxzcnL66PnGxsbQ19dHSUkJTE1Nq71uYWGBlJQUuRMjDoejtB9IZV5bFWj68wGa/4yq8HzPXudg3f4oiMTSrCi4kxPGD2zT4EGdqvB8yqbuz1gsKMGtxPt0uaV5C7hbudDdJf99vs9a9UVWaQ49rb9cLMCGuzuwts9CWOjV/2+AKlDF7yFFUbh1eh9y0pPpOmsHF/QYPA4cbv3SDUU/X32upZKDrzt27AgAiI2NrfZabGwstLW14e3t/dHzWSwWfH19AQA5OTnVXs/NrWh6lycpIgiCWfHJeVi15z4EQumYgR7t7TF1SFuVnulCKM7113dRLhbQ5YFuPWs8nsVi4et2w+Fr60nX5ZUVYN3trSgV8JUWZ1Pz8HYI4p9E0GU9QxMMGDMTHK56bdaskomRv78/HB0dcfnyZUiq9FFmZGQgOjoaAwcOhL6+dLZBZmYmRCKRzDWGDh0KALhz545MfVJSElJSUuDj40MSI4JQM2/TC7Fy133wy6vsyu1li/8N9wWbTZKipkAsEeNC/E26bK5rio72vrWex2FzMC9wIlqYSLvPkgtSsTFsN0QS1R7IrA7exsbg3qUTdJnN4SJ4zCwYGFXvtVF1KpkYcblcrF69GklJSdi0aRPEYjGKioqwdOlSWFhYYN68efSxISEh6NKlC2bNmiVzjeDgYPTo0QObNm1CdHQ0gIrEatGiRdDV1cWKFSsa9ZkIgmiYtOwSrNgZhqJSaUuBr5slFoxpDw5HJd/KCCWIePcIOaV5dLl/y+7gsuvWTaKjpYPvus6Aua70j/WTjBfYHXkYVNXBakS95Gen4/KRHag64K/7Z2Nh46ie+9Sp7LtJYGAg9u3bh4cPHyIoKAj9+vWDkZERjh49KrO+kampKQwMDGBraytzPovFwubNmzFixAgsXLgQHTp0wODBg2FjY4N//vkHbdq0aexHIghCTtn5fCzbGYbcwnK6rnULMyyZ0BFaXNUaZ0EoV0isdIaZNoeHXs6d63W+ma4JFnedCV0t6SSdG2/CcPL5BYXF2JQIyvkIOfA7ystK6TqvgJ5o3aErg1E1jEoOvq7k5+eHAwcO1HhMYGAgoqKiPvgaj8fDrFmzqrUmEQShPgqKy7F8Zxgyc6VvvC72xlgxMQA62ir9FkYoWEJOImJzXtPlbk4BMNDWr+GMD3M0aYb5naZg3e0tEL9fDfvo03Ow1DdHVyd/hcWr6SiJBFeP7UFupnSRTbsW7gj6ZCSDUTWcyrYYEQRBFPOFWLHrHlIypXthOVgbYtXkQOjrqteATqLhzsddkykHu/WQ+1ptbVphst9ombrtDw7geaby1qnTNA9unMPr5w/psoGxKfqPmgEOR70/sJDEiCAIlVRWLsLqPffx+l0BXWdjrocfpgbC2ECbwcgIJuSU5uF+svSPsK+tJ+yMbBp0zZ7OnTC09QC6LJaIseHODqQUpjXouk3Bm+fRiLh6mi5zuFoIHjsHegZGzAWlICQxIghC5QiEYqzdG4EXidJVrc2MdPDD1E4wN9ZlMDKCKZcSbtHdXkDtU/Trarjnp+jSvCNdLhHyse72VuSXFdZwVtOWm5mKy8d2ydT1HDoBVs2cmAlIwUhiRBCEShGJJVh/IBKP4rPoOiN9HtZM6wQb8/qPJyHUX7lIgKuvpEuv2BvZwsvaQyHXZrFYmNZhDNpYudF1WSU5+Dl0G8pFghrObJrK+aU4v38zhOXSla19gvrB3bcTg1EpFkmMCIJQGRIJhU1HohH+LJ2u09fhYvWUQDhYf3wbIEKz3U4MR7GghC4Hu/VU6GKeWhwtzO88Bc0MpV1zr3LfYtP9P2XW0mvqJBIJLh/diYKcDLrO3qU1OvX/ksGoFI8kRgRBqASKorDj5BPcfJhC12nzOFgxKQAu9ibMBUYwSkJJEBInnaJvyNNH1ypdX4piwNPH4q4zYawtTcAj3z3G/kf/KPxe6ir8yim8jX1Clw1NLdBv5HSwVWxrkoYiiRFBEIyjKAp//fscF+4l0nVcDhtLJ3RE6xbmzAVGMO5J+ku8K5K2IPZx7QIel6eUe1kZWOC7LjPA40hnPIbE35BJzJqqhJgHiLr5L13mavEwcOwc6OobMBiVcpDEiCAIxh27FoeTNxPoMpvNwsKx7eHrblXDWURTUHWKPofFRl/Xbkq9n6u5E/4XOBEsSLvq9kX/g4iUR0q9ryrLTkvG1eN7ZOp6fzkJFrYOHzlDvZHEiCAIRp0NfYWDF17K1M0d4YtALzuGIiJURUpBGh6nP6fLgY5+MNM1Ufp9OzTzxnjfL+gyBQqb7/+JhJxEpd9b1fBLihFy4HeIhNKB6O27D4SrVwcGo1IukhgRBMGYqxFvsfv0U5m66Z+3RY/2mvlJlKifkPgbMmVFTdGvi2C3nghuKV1AUiAW4ufQbcgszm60GJgmEYtx+ch2FOZJZ4g2d/OCf5+hDEalfCQxIgiCEXcev8Pvxx7J1E0Y2BrBnVowExChUorKi3E78T5d9rBwgYtZ80aNYZzPF+jQzJsuF5QXYd3trTIz5DRZ2KXjSE6QttgZm1uj74hpYLM1O3XQ7KcjCEIlRb7IwK+HoiCpsqH5sN5u+LxnS+aCIlTK1Vd3IBAL6XJwI7YWVWKz2ZgT8LVMQvauKB2/3NkJYZXYNFFs9D08Cr1El7V4Ohg4dja0dfUYjKpxkMSIIIhGFfMqG+v+ioBILM2KPglqgTH9FbNgH6H+RBIxLibcpMuWemYyLTeNSZvLw3ddZsBKXzo78nlWPLY/OAiKomo4U31lvkvE9ZN7Zer6DJ8MM+tmDEXUuEhiRBBEo4lLysMPf9yHQCRdNK9XBwdM/sxLoQv2EertfvJD5PGle+T1b9kDHDZza+WY6BhhcddZ0NeSbkdz520Ejj49x1hMylJaXIiQA79DLJK2iHXs9RmcW7djMKrGRRIjgiAaxdu0Qny/+x745WK6rnNbO8z+0gdsNkmKiAoURclM0dfhaqOXc2cGI6rQzMgGC4KmySRoJ59fwPXXYQxGpVhisQgXD29DcYF0j8IWrX3RoecgBqNqfCQxIghC6VKzi7F8ZxiKSqWfQtt5WGH+6PbgcMjbECEVn/MGr3Lf0uXuLQKhx1ONjYNbW7lhRodxMnW7Iw/hSfoLhiJSrDvnjyD1TSxdNrWyQ58vJ4Ol4YOt/6tpPS1BEI0uK4+P5TvCkFdUTte1cTbH4vEdoMUlb0GErH+rtBaxwMKAKlPmVUEXp44Y4SVtQRFTEvx6dxeS8t8xGFXDPY+8jZh70q89T0cXA8fOBk9HNZLSxkTelQiCUJr8onIs33kXmXl8us7VwQQrJvpDh8dlMDJCFWWV5CA8JZout7PzhK2h6q1+PqRVf/RoId1Nni8qw7rbW5HLz2cuqAZIT3qFm6cPSCtYLPQbMQ0mFjYfP0mDkcSIIAilKC4VYMWuMLzLkq754mhjiFWTA6Gno1XDmURTdSnhlsxMr4FuvRiM5uNYLBYm+41CW+tWdF0OPw8/3d4KvrCMwcjqr6QwHyEHt0AiFtF1gX0/R3P3tgxGxSySGBEEoXD8chG+33Mfb1IL6Tpbc338MLUTjPSVswEood7KhGW49uoOXW5u3AxtrNwYjKhmXDYH33SaDEdj6RT2xPwU/N+9PRBLxDWcqTrEIiEuHNqC0qJ8us7VqwPadQtmLigVQBIjgiAUSiAUY82f4Yh9m0fXmRvr4IdpnWBmpMNgZIQqu5l4HyVCaZdrsFtPlV/CQY+ni0VdZ8BUx5iui057hj8fHlX5NY4oisKtsweRnvSKrjO3cUCvLyaq/Ndd2UhiRBCEwojEEvy8PxJPEqT7SRkb8PDD1E6wNtP8FXMJ+UgoCS7ESfdFM9Y2ROfm6rFJqYWeGRZ1nQkdrjZdd+VVKM6+vMJgVLV7Gn4Dzx/cpsvauvoYOHY2tHjaNZzVNJDEiCAIhRBLKPz290NEPE+n6/R1uFg9pRMcrA0ZjIxQdY/SniGtOJMu93HtCh5HfcahtTB1wLxOk8BmSf+kHnpyCmFJUQxG9XGpb+IQeu4wXWaxWOg/agaMzCwZjEp1kMSIIIgGoygK2088xu1o6ZRlHR4H308OhHMz4xrOJAjgfNx1+t9cNhd9XbowGI18fG09MbHdCJm6reF/4WXWq4+cwYyi/BxcOLwVkirjoDoHD4eDa2sGo1ItJDEiCKJBKIrCn+ee4dJ96aJ8XA4by77yh4eTGYOREeogKf8dYjJe0uXOjn4w0VXPZLqPaxcM8uhLl4USETbc2Y60oswazmo8IqEAIQe3gF8snRTh7hMI7859azir6SGJEUEQDXLkShxO35J+KmazWVg0zg/ebqRZnqhdSJXWIgAY6NaToUgUY1TbzxDo0J4uFwlK8OPtLSgsK2IwqooPMDdO7UPWu0S6zrKZE3oMndDkB1v/F0mMCIKQ2+lbr3D4kvTTPosFzBvZDv6etgxGRaiLwrIihL6NoMttrNzgZOrAYEQNx2axMdN/PNzNnem6jOIsrL+zAwKRgLG4Ht+9gtho6b5uuvqGCB4zC1wtsnzGf5HEiCAIuVwOf4s/zj6VqZvxuTe6t7NnKCJC3Vx5FQqhRLqwYLCatxZV4nG0sKDLdNgaSFftjst5jS0R+yChJI0eT3LCc9y9cJQus9kc9B89E4Ym5o0eizogiRFBEPUWGv0OW44/kqn7+tM26B/oxEg8hPoRioW4lHCLLlvrW6C9rReDESmWkbYBFnedCUOePl13P/khDj853ahxFOZm4dLf20FJpAlZl09GoVkL90aNQ50oNDEqLi5W5OUIglBBkS8y8OvhKFRdv25EH3cM6e7KXFCE2rmX/BD5ZdJBwAPceoCtYbu42xhaYWGX6dBiS/cFPPvyCi5XSQiVSSgoR8jB31FWKv3b3LpDV3gGqNbGvKqmwT+Fx48fx6hRo+Dj44OOHTsCACIiIrB06VJkZGQ0OECCIFTHm4wy/HwgCmKJNCsa1NUZo/qRT59E3VEUhfOx0p3cdbV0ZDZl1STuFi6YHfCVTN0fD4/iYWqMUu9LURSun/gT2WnJdJ21gwu6DRpDBlvXQu7ESCAQYOLEiVixYgUePnyIsrIyegl0KysrPH36FCNHjkRmpmpMUyQIomHikvLw960cCEXSJvk+HR0xaZAneaMl6uVldgLe5Ev/YPds0Rm6Wpq7XUyAQzuM8R5KlymKwm/3/sDr3CSl3fPh7RDEP5EObNczNMGAMTPB4arPwplMkTsx2rt3L6KiojB9+nScP38ekZGR9GtOTk44deoUPD09sXv3boUEShAEc96kFmD1HxEQiKQtRUHedpj5pQ9Jioh6Ox8rnaLPYrEwoGV35oJpJJ+690Zfl650uVxUjp9CtyK7JFfh93obG4N7l07QZTaHi+Axs2BgZKrwe2kiuROjc+fO4ccff8ScOXPg4uICAwMD2Quz2ZgzZw5u3779kSsQBKEO3mUVY8WueyjmC+k6v1bW+GZUe3DYJCki6iejOAsP3j2myx3svGFlYMFgRI2DxWLhq3bD0M7Wk67LLyvEuttbUCrg13Bm/eRnp+PykR2oOgiw+2djYePoorB7aDq5E6Pk5GT07t27xmPs7e3JOCOCUGOZeaVYtiMM+UXldF0bZzMsGt8BWlzNGihLNI6L8bdAQfpHe6C7ZkzRrwsOm4O5gRPRwkS6VlNyYRp+DdsJkVhUw5l1IyjnI+TA7ygvK6XrvAJ6onWHrjWcRfyX3O9sOjo6yMnJqfGYxMRE6Ohobr8xQWiyvMIyLNsRhux86afZZuZaWDahI7S1OAxGRqirUiEf11/fpcstTB3gYdG0ZjPqaOngu64zYK4n7daKyYjFrsjD9DhdeVASCa4e24PczFS6zq6FO4I+GdmgeJsiuRMjX19frFq16qNT9CUSCX777Tf4+fnJHRxBEMwoKhVgxa57SMsuoescbQwxursldHW4NZxJEB9388098EVldHmgW68mOUbNTNcEi7vMlBlwfjPxHk48vyD3NR/cOIfXzx/SZQNjU/QfNQMcDvl9rS+5v2JTp07FmDFj0L17d/Tv3x8eHh4AgBMnTiAlJQXnzp1Deno6jhw5orBgCYJQvtIyIb7ffQ+JadI1Zmwt9LFqsj/evnpZw5kE8XESiQQX4m7QZRMdI3SqsqdYU+No0gzzO03ButtbIH6/Gvaxp+dgpW+Ork7+9brWm+fRiLh6mi5zuFoIHjsHegZGigy5yZA7MfL19cX69euxbNky/PPPP2CxWKAoCsuWLQNFUdDT08Ovv/4KT0/P2i9GEIRKKBeKsebPCMQl5dN1Fia6WDO1E0wNtfGWudAINReVFoOMkmy63M+1G7hNvDWjrU0rTO0wBtsi9tN12x8cgJmuCTyt67Y2WG5mKi4f2yVT13PoBFg1c1JkqE1Kg34qBw4cCH9/f5w6dQoxMTEoLi6GoaEhvL29MXjwYJiZmTUouMjISGzatAkJCQlgs9kICAjAggULYGNjU+u54eHhmDhxIoyNjau95uzsjAMHDjQoNoLQNEKRBD/te4CYV9I/XiYG2lgzrROszPQgFosZjI5QdyFx0in6Wmwu+rh0YTAa1dG9RSAyS7Lxz7MQAIBYIsYvd3diTa8FsDeueTPmcn4pzu/fDGG5tHvSJ6gf3H01c7HMxtLgdN3CwgKTJ09WRCwy7t+/j4kTJ2LixInYu3cvSktL8c0332DYsGE4ceIELC0ta72Gr68vSYAIog7EEgobD0ch8oV0Fqm+rhZWTw1EM0uDGs4kiNol5iXjWWYcXe7SvCOMdAwZjEi1fNnmE2QW5+D223AAFYPU193egrW9F8JEt/qHe6Cia/LykR0oyJH+ztq7tEan/l82SsyaTOnzbceNG1fvc0QiEZYvXw5HR0fMnTsXXC4XRkZGWLt2LbKzs7Fx40YlREoQTRNFUdh6/BHuPJbOZtHhcbBqcgBa2H34TZkg6uN8ldYiAAh2azpT9OuCxWJhWocxaGPlRtdllebi59DtKBOVf/CcB9dO422cdFsRI1NL9Bs5HWwOmTHaUApJjPLy8pCWlobU1FSZ/969e4cHDx7U+3rh4eFISkpC3759ZTYVtLa2ho+PD86fP4+SkpIarkAQRF1QFIU9Z5/iSoR0awItLhvLJ/rDvXnDusIJAgDy+QW4myTdGcHL2gOOJs0YjEg1cTlczO88Bc2MpENFXuW9xeZ7f0Iikcgcm5OSgIe3QqTnavEQPHY2dPVJ664iyN2VVl5ejg0bNuDcuXMoLCys/YR6iIio2N/F3b364DMPDw9ERUXh8ePH6NSJ9KMSREP8fTkWZ2+/psscNguLxndAW9fau6oJoi4uvwqFSCJdvHAgaS36KAOePhZ3nYWlV35GQXkRACAy9Qn2PfoHX7UbBgDISU9GwoOrMuf1/nISLGwdql2PkI/cidHq1atx4sQJtGzZEh07dqy2JQhQ8Wn0zJkz9b72mzdvAFRsRvtflXWJiYm1JkY5OTlYtGgRoqOjUVBQAFtbW/Tt2xdff/01tLW16x0XQWiSUzcT8PflWLrMYgHzR7VHx9a1T24giLoQiIW4kiDdFsrWwAo+tm0YjEj1Wemb47suM7Dqxm8oFwsAABfib8BK3xw97f1x4dBWSKqskt2++0C4enVgKlyNJHdidOXKFXz//fcYMWJEjcedPn263teuXDTyQ6tmV9YVFRXVep3s7Gz06NEDP/zwAwQCAS5duoTVq1fj5s2b2Ldvn9yrcovFYoXP0Km8nqbO/NH05wPU6xkv3X+LP889k6mbMbQtOrW1+Wj86vR88tD05wMa/xlDE8Pplg8A6O/aDZSEghjKub+mfA9bmDhglv8EbAzbTW+fsj/6H2RfvYWiPOmsUUc3T/j1/Eztn7cqZX0P63M9uRMjiqLw6aef1nrc/v37az1GGXx9fXH16lUYGVUscKWlpYWhQ4ciLS0NmzdvxoEDB+SeTRcXF1f7QXKKiYmp/SA1punPB6j+M8YkluJEmOyO3v3aGcNSOxePHtW+07eqP19DafrzAY3zjBRF4WSydCVnbTYPJoV6ePTokdLvrQnfQy6AXhYBuJp9DwDglCpEUVYy/bqOgTGsPQLx5MkThiJULia/h3InRt27d0dCQgK8vb1rPC4iIgIdO3as17Uru+XKysqqvVZZZ2hY81RPHo8HHo9Xrb53797YvHkzrl+/Lndi5ObmBj09PbnO/RixWIyYmBh4eXmBo4GzCjT9+QD1eMaIZ+k4dT9Kpm5EHzeM6OP2kTOk1OH5GkLTnw9o3Gd8lhmHrFfSRLuPa1d0bKvcLh9N+x76wAdaj3QQFXEVDlnSFg82VwufTpgHCxt7BqNTDmV9D0tLS+vcqCF3YrR8+XKsXbsW+fn56NKli8zssaq2bt2KWbNm1evaLVq0AABkZmZWe62yzsnJqX4Bv1e5/lFubu2fjD+Gw+Eo7ZdOmddWBZr+fIDqPuPjuCxsOPQQEol0o8rB3Vwwqp9HvfarUtXnUxRNfz6gcZ7xYsJN+t9sFhvBbj0a7euqSd/DAVZ+KE65KFP3xkkPOmamGvOMH6Lo72F9riV3YmRkZITu3btj4cKFKC4uhqmpqcIGNHfs2BE7duxAbGwsgoODZV6LjY2FtrZ2rS1Vf/31FwYNGlRt9e3s7Ir+WVNT0w+dRhAa6WViLtbsDYdQJJ3229e/Ob7+tE2T3MSTUK70okxEpUq7Qjra+8BCnyz/UF+lxYW4eGgrWFU+zCTacJFkUI5fw3Zjefc50OJoMRihZpJ7HaMjR47gm2++QWFhIQwMDMDj8UBRVLX/5OHv7w9HR0dcvnxZZv2GjIwMREdHY+DAgdDX16frMzMzIRKJZK6xf//+D66hdP16xUJj3bp1kys2glA3r98V4Ps991EmkDbFd/VphhlfeJOkiFCKkPgb9KBhgEzRl4dYLMLFw9tQXCDt3Sgy00GSdUXLx8vsBGyPOAAJJfnYJQg5yZ0Y/fnnnxg6dCjCwsIQHh6O69evf/A/eZIjLpeL1atXIykpCZs2bYJYLEZRURGWLl0KCwsLzJs3jz42JCQEXbp0+WB33fr16xEdHQ2KoiAQCPDvv/9i586d8PDwkGtFboJQNymZRVixKwwlfCFd17G1DeaNagcOmyRFhOKVCEpx4809uuxq5gQ3c2cGI1JPd84fQeob6XIaZlZ2GDlhEfR50kaBO0kPcOzpOSbC02hyd6VlZmZiwYIFMDExqfG4devWyXX9wMBA7Nu3D5s2bUJQUBBYLBYCAgJw9OhRmfWNTE1NYWBgAFtb2c32Nm3ahDNnzmDFihXIzc0Fn8+HjY0Nxo8fj8mTJ8u0OBGEJsrILcXyHWEoKBbQdW1dLfDdOD9wOUrfDYhoom68CUN5lW0sgt16kpbJenoeeRsx967RZZ6OLoLHzoaJhQ3md5qCtbc2Q4yKlqKTzy/CUs8cvVyCmApX48idGLVq1QrFxcW1Jkb29vKPmvfz86t1E9jAwEBERUVVq/fy8oKXl5fc9yYIdZZbWIblO8KQXSCd2ene3BTLvvYHT0tzB2wSzBJLxLgQd4Mum+oaI8ChHYMRqZ/0pFe4ebrK3z0WC/1GTIOJRcXCq60sXRFs3RXnMm7Sh+yO+hsW+mbwtmndyNFqJrk/Ni5evBjr16+vdTsQ0mVFEI2rsESA5TvDkJYj3U/QydYI308KgK623J+FCKJWD949RlapdExMf9fu4LJJIl5XJYX5CDm4RWZl68C+n6O5e1uZ41obumJ4G+k6ghJKgo13d+NtfkqjxarJ5H6X/Pvvv5GdnY2goCB4e3vDysrqg+sGEQTReErLhPh+9z0kpUtXG25mqY/VUwNhoEd+PwnlCom7Tv+bx9FCb9K9U2dikRAXDm1BaVE+Xefq1QHtugV/8PjPPPoii5+L66/vAgD4ojKsu70VP/b+DmZ6Jo0QseaSOzE6deoU/e8Pzf6qRPqWCaJxlAlEWP1HOOKT8+k6S1Nd/DC1M0wN5dv+hiDq6lXuW7zMfkWXuzoFwFCb7PZeFxRF4dbZg0hPkn79zG0c0OuLiR/9G8pisTCp/UjklObicfoLAEAuPx/rQrdidc/50NUiv/PyalC7+rVr12p8naIo9OnTpyG3IAiiDoQiCX7a9wDPXufQdaaG2lgzrRMsTXUZjIxoKs5XaS0CgOCWPRiKRP08Db+B5w+km+1q6+pj4NjZ0OLVvDYgl83BvE6TseLar0gqeAcAeJufgt/CduO7LjPAId2YcpE7MWrRogWaNWtW63F+fn7y3oIgiDoQiyX49VAUol5KV4o31NPCD1M7wc6CfGInlC+Xn497SZF02dumNeyNbWs4g6iU+iYOoecO02UWi4X+o2bAyMyyTufraelicdeZWHL1Z+TxCwAAj9Kf44+oI5jsN4r02shB7sHXFy5cqP0goNZZZQRByE8iofD78Ue4+ySVrtPV5uD7yYFobmvEYGREU3I54RbEVRYaHOjWi8Fo1EdRfg4uHN4KiUS6+Grn4OFwcK3f7DJzPVMs7jITOlxpC9PV13dw5uVlhcXalCh9MZNevcgvCEEoA0VR2HP2Ka49kO64zeOysfzrALg5ki1viMYhEAlwJSGULjczsoG3TSsGI1IPIqEAIQe3gF8sndnt7tsJ3p37ynU9J1MHzOs0CWyW9M/64SenEValJY+omzp3pYlEIohEIujoVAzoSk1NreWMijfuuhxHEET9Hbr4EudCX9NlDpuFxRM6wsvVgsGoiKYm9G0EigTSpSGCW5IFHWtDURRunNqHrHeJdJ1lMyf0GDK+QV87X1tPTGo/ArsipV1zW8L3wUzXBB6Wrg0JuUmpc2L05ZdfIjMzE5cvX4a+vj569iQ//ATBlBPX43H0ahxdZrOAb8e0h18rawajIpoaiqJkpugb8PTR1cmfwYjUw+O7VxAbHUaXdfUNETxmFrhaDV9So7dLF2SW5OD0i0sAAJFEhPV3dmBN7wWwMyTvD3VR58SIoiiZDV0BYPDgwbWec+bMGbkCIwjiwy6EvcFf55/L1M360gdB3rVPhiAIRYrJeInkwjS63NslCNpcsl5WTZITnuPuhaN0mc3moP/omTA0MVfYPUZ4DUJmcTbCkit2hSgWlGDd7a1Y22sBjHQMFXYfTVXnxOj48eMQiUTQ1ZVO/a3LPminT5+WKzCCIKq7EZWM7SefyNRN/swTffybMxQR0ZRVnaLPYbHRz7Ubg9GovsLcLFz6ezuoKo0MXT4ZhWYt3BV6HzaLjRn+45HLz6fXlsoozsLPd7ZjZfe54JHktUZ1HnytpaVV76SoPscRBFGzezFp+L8j0aAoad2Y/h4Y1NWFuaCIJiu1MB3RaU/pcoBDO5jrkUH/HyMUlOP8gd9RVlpM17Xu0BWeAcpZ74nH0cKCoGmwNZBuuh6f8wa/h/8FCSWp4UxC7llp/v419yPv3r0bp0+frrW7jSCI2kXHZmL9gUhIJNKsaGh3Vwzr7cZgVERTFlJls1iATNGvCUVRuPbPH8hJl84gtXZwQbdBY5Q6VtdQ2wCLu86UWYE8PCUahx6fquEsQu7EqLZp+C9evMDKlSuxdu1aeW9BEASA529ysPavCIjE0k95AwKdMOGT1mQCBMGI4vIS3Eq8T5fdzZ3hau7EXEAq7uHtECTESLfO0jM0wYAxM8Hhain93jaGVvguaDq0ONJ7nYu9ikvxt5R+b3Uld2JEVW3P/4CNGzfi2LFjuHjxory3IIgm71VKPlbtuY9ygXQBuO7t7DFtaFuSFBGMufb6LsrFAroc7N6TwWhU29vYGNy7dIIuszlcBI+ZBQOjxut2dLNwxmz/CWBB+p7xZ/RRRKXGNFoM6kTuxKgub8omJibg8/ny3oIgmrTkjCKs2HUPpWUius6/jQ3+N8IXbDZJighmiCRiXIy/SZfN9UzRsZkPY/GosvzsdFw+sgNVBwZ2HzwWNo6NPy4wwKEdxngPpcsUReH/wvbgde7bRo9F1dV5VtqpU6dw6pRsv+S4ceM+erxAIMCrV6/QunX9ljYnCAJIzynB8p1hKCyRfir3aWmJhWP9wOUofcF6gvioiJRo5PDz6PKAlt3JZqUfICjnI+TA7ygvK6XrvAJ6orVfV8Zi+sS9FzJKsnA5oWLD2nKxAD+FbsPa3gthqa+45QLUXZ0To3fv3iEiIoIus1gsmfJ/GRsbo23btliyZEnDIiSIJiangI/lO8OQU1BG17VyMsPSrzqCp0X+ABHMqjpFX5urjZ7OnRmMRjVREgmuHtuD3Ezpzg92LdwR9MlIBqOq+Lv9le8wZJfm4eH7brT8skL8dHsrVvf6Fvo8PUbjUxV1ToxmzZqFWbNm0WUPDw+8fPlSKUERRFNVUFyO5TvvIT1H+inT2c4YKyYFQEe7zr+uBKEUcdmvEZ/zhi53dwqAAU+fwYhU04Mb5/D6+UO6bGBshv6jZoDDYf53mMPmYG7A11h5YyPe5FXMkksuTMOvd3dhSddZ4KpAjEyTu01+yJAhioyDIJq8Er4Q3+++h+SMIrqumaUBVk0JhIGu8mevEERtQuJlp+gPcFPOGjzq7M3zaERcPU2XOVwtBI+dDT0DI+aC+g8dLR0s6jITFnpmdN3TzFjsjDxU68SqpkDuxGjo0KG1H4Tap/UTBAGUCURY/cd9JKQU0HVWprpYM60TTAy1GYyMICpkl+bifrK0FaSdrSfZe+s/cjNTcfnYLpm6nkMnwKqZEzMB1cBU1xiLu86ErpYOXXcr8T5OPA9hMCrVIHdiVNPA60q5ublITU2t9TiCaMqEIjF+3BuB529y6TozI22smdYZFia6NZxJEI3nUvwtmRWTB7qTD71VlfNLcX7/ZgjLpWMDfYL6wd23E4NR1czB2A7fdp4KDkuaChx7+i9uvblfw1mar0HrGGVkZHz09StXruDTTz+V9/IE0SSIxRJsOBiF6Lgsus5QTwurp3aCrQUZu0GohjJROa6+vkOXHYzt4Gml2P291JlEIsHlIztQkCP9m2jv0hqd+n/JYFR142XtgakdxsjU7XhwAE8zmu4Y4gbN+x03bhyysrJk6oqKivDtt99izpw5KC4u/siZBEFIJBQ2H3uEezHS3cl1tblYNSUQzW1UZzwCQdxODEeJQDohYKBbT7LAaBXhV07hbZx0sUQjU0v0GzkdbI56zCLt3iIQX7QZSJfFlAS/3N2FlIK0Gs7SXA1KjEaPHo2xY8ciOzsbAHDr1i0MHDgQ//77Lzw9PXHy5EkykIsgPoCiKOw6HYPrkdK9k3haHKycFICWDmQjTkJ1SCgJQqpM0TfUNkCQYwcGI1ItCTEPEHXzX7rM1eIheOxs6Oob1HCW6vmyzUB0dZLugVoq5GPd7S3I5xfUcJZmknte3qxZszBu3DiIRCKMGzcO3t7eOHXqFLhcLmbNmoXp06eDw+Fg//79ioyXIDTCgQsvcP6udNozl8PCkgkd0MaZLLJGqJbH6c+RWiTtIurr0hU8Lo/BiFRHdloyrh7fI1PX+8tJsLB1YCgi+bFYLEzzG4Oc0jw8y4wDAGSV5uKn0G34vuc30OE2nUkgcrcYVa5p9PXXX2Pw4ME4deoUXF1dcfToUcyaNQuc902IpLmVIGQdvxaH49fi6TKbBXw7xg/tPcgMH0L1VG0t4rA56OvK3MrNqoRfUoyQA79DJJSuTt+++0C4eqlvaxqXw8W3nafC3siWrnudl4RN9/6ARCKp4UzNopC9BaZMmYL//e9/YLFYsLOzk3mtLrPXCKKpOH/nNfaHvJCpmzPcF53b2n3kDIJgTnJBKh6nS39eOzv4wVTXmMGIVINELMblI9tRmCcdY9vczQv+feq2jI0q0+fpYVHXmTDWkY5zjEqNwV/Rx5vM0Jg6d6UtXry41mOysrIwcuRI+Pr6NigogtBE1yOTsOOU7G7WU4d4oVcHR4YiIoiahcTJLugYTBZ0BACEXTqO5ITndNnY3Bp9R0wDm60Z+xha6ZtjUZcZ+P76RpSLK1rELibchJWBBT5pAss01GsT2brIz89HYmIiXSZdaQQBhD1JxaYj0TJ144Jb4ZMgZ4YiIoiaFZYX4/bbcLrcytIVzmbNGYxINcRG38Oj0Et0WUtbBwPHzYG2rmbtM+Zi1hz/C5yIDXd30C1FBx6dgKW+GfztNbvxo16Dr69du1avi1MUhT59+tTrHILQNA9fZmLDwUhIqrRCf9GzJb7s5cZcUARRi6uvQiEUC+nyQDfNbymoTea7RFw/uVemrs+wyTCz0syucL9mbfGV7zD8+fAoAIAChc3392Jld2O4WWjuh7o6J0aOjo5o1qxZvW/g5+dX73MIQlM8e52DtX9FQCSWZkXBnZwwLrgVg1ERRM1EYhEuJdyiy5b65vCza8tgRMwrLS5EyIHfIRZJk8WOvT6Dc+t2DEalfP1bdkdmcTb+jatoGBGKhVh/ZzvW9F4IGwNLhqNTjjp3iF6+fFmuGxw4cECu8whC3SUk52P1H/chEIrpuh7t7TF1SFvSxUyotPspD5FXZf2aAS17aMz4GXmIxSJcPLwNxQXSbXucW7dDh56DGIyq8YzxGYqO9j50ubC8GOtub0FRuWYu4qz0n/RWrcgnY6LpSUovxIpd91BaJqLrAr1s8b/hvmCzSVJEqC6KonA+VjpFX4erjZ4tVHe/r8Zw59+/kfomli6bWdmh97BJYDWRZJHNYmO2/1doaeZE16UVZWLDnR0QVOlu1RR17kp78OCBXDdoKtP7CKJSek4Jlu8MQ1GpdH0THzdLLBjTHhxO03gjJdRXbPZrvMp7S5d7tugEPV7T3cz4+YPbiLkvTRR5OroIHjsbPO2m9TXR5vKwsMt0LLu6ARklFbtdvMx+hW0R+zEn4CuwWZrz3lbnxGjs2LFyNf+TLgOiKSksFWPbrvvILSyn61o5mWHphI7Q4qrHvklE01Z1QUcWWOjfhKfopye9ws0zVYaDsFjoN2IaTCxsmAuKQcY6RljcdSaWXttA750XlhQJK31zjGo7mNngFKhes9JmzpxZr4tTFIVt27bV6xyCUFcFxeXYfz0L2YXS7jMXe2OsnBQAHW25d98hiEaTVZKD8HfSZSXaN2ursQNsa1NSmI+Qg1sgEVfpDu/7OZq7N+1B6HZGNlgYNA0/3NwMkaTia3P6xSVY6Vugt0sQw9EpRr3erSu3AamPrVu31vscglA3xXwhVu0Jl0mKHKwNsGpyIPR1tRiMjCDq7kL8TZnhDwPdejIYDXPEIiEuHNqC0qJ8us7VqwPadQtmLigV0sqyJWZ0HIfN9/+k6/ZE/Q0LPTP42LZmMDLFqHOnoLybwZJNZAlN9zatEIu2hOJ1aiFdZ22mhx+mdoKxQdPZeJFQb3xhGa6/vkuXnUzs0dqyJYMRMYOiKNw6exDpSa/oOnMbB/T6YiIZGlJFUPMOGOn1GV2WUBJsDNuFxLwUBqNSjDonRh07dpTrBhEREXKdBwCRkZEYO3YsAgMD0blzZ8yfPx/p6elyXevp06do3bo1evZsmp+ACMWjKArn777BN/93C2/Ti+h6MyNtrJnWCebGTWtwJqHebiXeR6mQT5eD3Xo2yUTgafgNPH9wmy5r6+pj4NjZ0OKRDzn/NbhVP/R07kyXy0Tl+Cl0K3JK8xiMquGUPoxc3q60+/fvY/z48fD19UVoaCguXLiAgoICDBs2DFlZWbVfoAqhUIglS5ZALBbXfjBB1EFBcTnW/BmBHSefQCCS7jptoMPGqskBsDHXZzA6gqgfCSWRGXRtrG2Izo5Nb3He1DdxCD13mC6z2Gz0HzUDRmZNc5xVbVgsFia1HwlvG2n3WS4/Hz/d3iqTZKubBo0ITU9Px549e/Dw4UMUFhYqbGq+SCTC8uXL4ejoiLlz54LNZsPIyAhr165Fjx49sHHjRqxbt67O19u1axf09PRga2urkPiIpu1RXCZ++/uhzMwzAGjvYYUerTlwsDZkKDKCkM/D1KdIL5Z+4Ozr2hVanKY1Nq4oPwcXDm+FRCL9AN15wHA4uKr/mBll4rI5mNdpElZe+xVvC94BAN4WvMNvYXvwXZcZ4LLVbzau3C1GycnJGDx4MA4fPoy8vDykpKSAoihQFIWysjK8e/cOqampsLOr/x4y4eHhSEpKQt++fWVWW7W2toaPjw/Onz+PkpKSOl0rISEBf/75J9auXdukV24lGk4okmDvuWdYvvOeTFKkxWVjymAvLPuqAwx01O9NgCCqthZx2Vz0de3KYDSNTyQUIOTgFvCLpeME3X07wbsz2euzLvS0dLGo60yY6ZrQdY/Tn2NP1N9quZah3JnCpk2b4O7ujnv37uHGjRtgsVi4fv06rl+/jrt37+LixYto1aoV5s+fX+9rV45Lcnd3r/aah4cHysvL8fjx41qvI5FIsGTJEkyaNAkuLi71joMgKr3LKsbC32/j5M0EmXoHa0P8+r+u+LSLc5Mcj0Gov7f5KXiaKV3VOah5BxjrGDEYUeOiKAo3Tv6FrHeJdJ1lMyf0GDKe/E7Xg7meKRZ1mQkdrnQs1vXXd3HmpXzbiTFJ7q608PBw7N69G8bGxh983cnJCT/88AN++OEHBAfXb4rjmzdvAABWVlbVXqusS0xMRKdONS9Tv2/fPpSXl2Py5Mn1un9txGKxwscrVV5PU8dBqevzURSF65Ep2H3mKcoEsrH3D2yOrz5pDW0tjszPhLo9Y12R51N/H3rGqtt/AEB/l25q+zWQ53v4OOwKYh/do8s6+oboP3IGWGyOSn4dVPnn1MHIFv8LmIgNd3dAQlWMvTz85DTMdEzqPGZNWc9Xn+vJnRjl5+fD2dmZLnM4HJSXl0NbW5otOjs7IzY29kOn16i4uGJjOh0dnWqvVdYVFRVVe62qpKQk/P7779i/fz+4XMUurhcXF6fQ61UVExOjtGurAnV6Pr5Agn8j8vAsSXYQoS6Pjc8CTOFhL8aLZ9WfR52eUR7k+dRf5TOWiPgIfSudOeyoa4u8xGzkIZup0BSirt/DgoxkPL9zli6zWGy4+PVBQmISgCQlRacYqvxz2seiEy5l3aHL2yP2I/ddNhx0675iOJPPJ3fGYGlpiczMTNjb2wMAbG1tERMTAz8/aVb46NEjaGk1/gA+iqKwdOlSjBo1Cp6engq/vpubG/T09BR6TbFYjJiYGHh5eYHD0bxxKur2fM/f5GLr39HIypdNirxczTF3uM8Hp+Kr2zPWF3k+9fffZzzx/ALElPST9DDfQfCx82Iwwoapz/ewMDcL/5zfC1QZAxP0yUh4+qv2Fijq8HPqAx/oxOjhTGxFN5oYEpzNuo5VPebDztC6xnOV9XylpaV1btSQOzHy8PDApk2bsG7dOnC5XLRt2xbLli3DokWL4OjoiNjYWGzYsAFubm71vraBgQEAoKysrNprlXWGhh+f+XP06FFkZmZi9uzZ9b53XXA4HKX9QCrz2qpA1Z9PLJbg6NU4HL0SC0mVMYMcNgtjB7TCkO6uYLNrHneg6s/YUOT51B+Hw4EEElx5HUrXWRtYws++rUZsBlrb91AoKMfFw9tQzpdO4mndoSvaBvZSm3FFqv5zOtL7M2TxcxGWFAkAKBaUYv2d7VjTe0GdxrAp+vnqcy25E6O+ffti0aJFSE5OxpEjRzBlyhR8/vnnmD59On0Mi8XC2rVr633tFi1aAAAyMzOrvVZZ5+Tk9NHzr127hry8vGqLOebm5gIAOneuWJDqf//7H4YNG1bv+AjNlJFbil8PReFFYq5Mva2FPr4d3R5ujqYMRUYQiheWFIWCMuksrOCWPTQiKaoNRVG49s8fyElPpuusHVzQbdAYtUmK1AGbxcaMjuOQW5qHl9kVq4hnlGRjfeh2rOwxDzwuj+EIP07uxGjQoEHo1q0bPX7H3d0df/zxB3bu3Il3797Bzs4O48ePR2BgYL2v3bFjR+zYsQOxsbHVBm7HxsZCW1sb3t7eHz1/9+7dH6yvTJSuX7/+wdeJput2dAq2/vMYpWUimfpeHRwwZbAX9HSkXcISSgK+sAwlQj5KBaUoFfLf/5uPckHdlpEgCCZRFIXzcdfosq6WDrq3qP97tTp6eDsECTEP6LKeoQkGjJkJDrdprdvUGHgcLSwImoZl1zYgraiiUSM+NxGbw/fim8DJKruEjtyJEZvNhqmp7Cdof39/+Pv7Nzgof39/ODo64vLly/jf//5Hf/EyMjIQHR2Nzz77DPr60pWFMzMzYWZmpvBB1oRmEolFdDKTW1yE47eeIzohFSwDEbgmQoAjgpa2GO4tDFFu+A4/h91AqaDi+BJhKfjC6l28ldhgw8yhokuCIFTVi+wEJOZL97Tq5RwEXa3qk100zdvYGNy7dIIuszlcBI+ZBQMj0hqsLIbaBljcdRaWXV2PwvKKiVURKY9w8PFJjPP9guHoPkzuTOL06dMYPHjwR1+fM2cODAwMMG/ePFha1m85dS6Xi9WrV2PSpEnYtGkT5syZg9LSUixduhQWFhaYN28efWxISAjmzZuHHj16YMeOHfI+DqEmKIqCQCxEibCipaYiYSlFiYBfURbyUSLTilOKUmFZxfHvjxWIhbIXZQHaH9grM7YIQM2TH6uRQILfw/direFC2BuTldYJ1XQh/gb9bxaLhf4tuzMXTCPJz07HpSPbZQZbdx88FjaOZI07ZbMxsMTCoOlYdfP/IHz//vtv3DVYGVio5M+e3InR4sWLa0yMfH19cfr0aaxYsQLbt2+v9/UDAwOxb98+bNq0CUFBQWCxWAgICMDRo0dl1jcyNTWFgYHBR7f7EAgE6NGjYpbBf8cY3bhxAzye6vZzaiIJJUG5QEAnNhUJzfvkRVBakcy8T2gq/l2KUkFFYlP5mliieut3VMUXleHnO9vxY++FMNQ2YDocgpCRLyxEVKp0KnTHZj6w0jdnMCLlE5Tzcf7A7xCUSWeZegX0RGu/prXCN5PcLJwx238CfgvbAwoVyene6GOw0DODXzPVamGXOzGqbZnvr776Cp999hn69esn7y3g5+eHAwcO1HhMYGAgoqKiPvo6j8fD3bt35Y6BkCWSiOmWmdIqiUxlglPZclPZQlPZclMiKEVRWTEECUL6l0JVcdlc6PP0oKelA30tPejzdKGnpQc9Ld33/674T/paxX97Hx7Ds6yK6aAZxVn4LWwPlnSbrZZ7BRGaKzL/mczv4EC3njUcrf4oiQRXj+1BXmYqXWfXwh1Bn4xkMKqmKcChHcb6DMX+RxXdmRRFYdO9P/B9z2/gYtac4eik5E6Mahu9LxAIEBMTQ8b9qBCKoiAUC2WSlVJhGZ3Q/Ld7qlRYJpv8CPkoF5XXfiOG6XC13ycuutDj6dH/Liqi8CS2AIIyFiixFiDmghJz4d3CFmP7e8PS0Ah6Wrrgybl55tzAiVhwYS3yhRUzfZ5mxuKv6GOY1J68AROqoVTIR0yhdC0XF9PmcLfQ7K6kBzfO4fXzh3TZwNgM/UfNAIdD/jYxYaBbL2QW5+Biwk0AQLlYgJ9Ct+HH3gthqSItl3X+ydiyZQu2bt1KlymKQqtWrWo975NPPpEvMqIaiqJQJiqXGS9T2QVVdXyNtDuqesuNSCKq/UYMYoEFPS0d6PH0KhKb98mNPp3oVLTeVP674hjZlhvOf1poygQi/HnuGe6HJQKwoOt1eBxMHeKFXh0cFTJN14Cnj89t++Bw6nnwRRUDtC8n3IajsR36unZr8PUJoqFuJt6HgJKOsQt266nRU9RfP3+IiKun6TKHq4XgsbOhZ9B09oJTNSwWCxN8v0RWaQ7dpVtQVoh1t7fih17fQoejXcsVlK/OiVGzZs1kVrWOjIyUKVfFYrFgbGwMT09PjBkzpuFRajiJRILI1Ce4nxOFx48SwBeVfXggsZCv8jsVc9ic90mM3vukpuLfulxtFOcXw6lZcxhq60u7o3jSbik9ni50uNoKXUvlTWoBNhyMQnKG7ChqV3tjfDvGD80sFTsGyIJnijn+X2F92A76e/Xnw2OwM7SBp3X1TZEJorFIJBJcev8pHQBMdYwR6NCOuYCULDfjHa4clV26pefQCbBq5sRMQASNzWbjf4ET8f31jXidV7H1SkphGn65uxOLgmYwHF09EqMhQ4ZgyJAhdNnDw6PW8T9E3fwbdw0HH5+sKOQxG4s2h/e+VUY6hkb3fWuN/vtuqcqE5r/Jj76WLrQ4Wh/8BCoWi/Ho0SP4tPJplNVaKYrCv3feYO+/zyAUSWReG9rdFWMGtIIWVzlraPjYtsGYtkNx4HFFP7qEkmBj2G782Oc72BjUb4YmQShKZOoTZJbk0OV+LbuBq6HdSeX8Upw/8DuEAunSGj5B/eDuW/PG40Tj0eFqY1GXGVh6dT2ySismRj3LjMOuqMMI5DK7LY3cvxXr1q1TZBxN2tsq64k0lHRgcOX4Gh26NUb/QwOIq3ZZaelqxBtlflE5Nh2NRuSLDJl6MyNtzBvZDj5uVh85U3E+ce+F5IJU3Eys2LW7WFCCn0O3YW3vhdDTqr7PGkEo2/k46cK2Wmwt9HbpwmA0ykNRElw9vgsFOdLffwfX1ujU/0sGoyI+xETXGIu6zsTya7+gVFgxYzD0bQQkpkL4wpexuOT+K1i19ai+WrVqhRcvXsh9vqYZ5NEHCTmJyCjOqhhPIzO+pnpCI0103s+Wev9vXa6Oyq4k2lgevszEb0ceIr9IdpB4x9Y2mDPcB8YGjdN/zWKxMNlvJNKKMhCb8xoA8K4wHZvv/YmFQdOb/PeJaFyvc5PwIiueLndp3gFGGrqURPKzcLyLe0qXjUwt0XfEdLBVeF+xpszB2A7fdp6Ctbe30Eux3M2LRtf0F/BtpvhN4OuCkeYBVR8n09iam9hjY/8ViI6Ohq+vr0pvDKiqhCIx9oe8wOlbr2TqeVw2vh7kieBOTo0+yFSLo4X5QVOx+MpPyCmt6CN9mPYUh2NOY4z30EaNhWjaQuJlt0Hq76raO8jL69XTSLx7KV2+havFQ/DY2dDV18wkUFN4Wntgmt8YbI3YR9dFpz9jLDFi5GOrJs+CaAjydZFPSmYRvt0cWi0pam5jiI1zu2Fg5xaMfW1NdIzwXdB0aHOkC4mefXkFt97cZyQeounJ5xfg7vsdzgHASbcZHDRwVfbs9GRcP/GnTF3vLyfBwtaBoYiI+ujWIgBjvIeCzWJDi8VFgL0adqURBNMoisLl8CTsPhODcoHsatifdG6BCZ+2gbYW861vTqYOmBUwAb/e3UXX7Yw8BFtDK7hZODMYGdEUXEq4LbNavJ8JM5/ClUlQzsfFQ9sgEgrouvbdB8LVqwODURH1NcijDzo7+CH22UtG19ciAx0ItVRUKsBP+x9gy/FHMkmRkT4Pyyf6Y+rQtiqRFFXyt/fFMM9P6bJIIsKGuzuR/X42BkEog0AsxOVXt+mynaE1nPXsGYxI8SiKwo2T+5CfnU7XObp5wr8P6a5WRyY6RjIt7EwgiRGhdmJeZWPOLzcQ9iRNpt7HzRK/f9sDHVvbMBRZzT5vPQCBDu3pckFZITaE7kCZGqwmTqinO28foOj9juYA0N+1u8Z12T+9fwPxT8LpMk/PEL2+mEQmOBByIz85hNoQiSU4eOEFlm6/i+wC6fokXA4LX3/aBqsmB8LMSIfBCGvGYrEwo+M4tDCVjnl4k5+MbeH7IaEkNZxJEPVHURRCqkzR1+fpoUvzjgxGpHgZKW8Qev5vuszmcODm3w86emSwNSE/MsaIUAvpOSX45VAUYt/KroBpZ6GPBWP84Opgwkxg9aTN5WFh0HQsvvIT8ssq9lS7n/IQJ57Z4ktPsn0OoThPM2ORVPCOLvd2DoIOl/ntFhSljF+Ci4e3QSKWbnMU2P9LSHQtajir8VAURf+nSGKxWOb/mqY+z8disej/FIkkRipCkJEITmF67Qc2QTcfpmDbP4/BL5fd561PR0dMHuwFXW31+jE21zPFgqBp+P76Rgjf7113/Nl5OBjbIUCDt2ggGlfVBR3ZLDb6tdSc/fooisK1f/5AUV42Xefi6QevgF54/Pgxg5EBfD4fOTk5KC4uVsrSNBRFgcvlIiEhQeO6RYH6Px+Xy4W5uTnMzMwUFgNZx0gFFD2+jqx/t8IIQK4gHRZ9v9bIH/j6Ki0TYsfJJ7gRJbsyuL6uFmZ96Y0g72YMRdZwLc1bYGqHMdgS/hddtyX8L1gbWMp0tRGEPNKKMvHw/QadABBg7wsLPTONaWV4dOcS3jyPpsvG5lbo+flXjL9v8vl8JCUlwcTEBE5OTtDS0lL4PSiKAp/Ph66uLuPPqwz1fb7S0lKkpqZCR0cHenp6ColB7sTIw8MDLBYLwcHB+PXXX+t17suXL+W9rUYqfSP9hFMUGQIWiwXzPsz/kjMp9m0ufjkUhfScUpn6Ns7m+GZUO1iZKuYXgEldnfyRXJCKMy8vA6iYQbT+znas6/0dTHSNGY6OUGcX4m7IlIPdejIUieKlJcYj7OJxuszhctF/1Exo6+gxnvjl5OTAxMQE1tbWSrsHRVFgs9ngcDga+Teivs9naGgIc3NzZGZmwsnJSSExNGjw9cSJE7Fw4UKFBNKUGXn3Aqr8ABQ+OI/cq381yZY1sYTCsatxWLjljkxSxGazMLq/B9ZO76wRSVGlkV6foZ2ddMPEnNI8/HJ3F4RiIYNREeqsRFCKG+/36AOAlmZOGrNeFr+4EBf/3g5KIp2s0PXTMbC0c2QwqgoURaG4uBjGxuRDTWMzNDREeXm5wv5myp0Y6evrY+bMmUrNjJsK3RZtYT5wJqp+Swsi/kXutX1NKjnKzudj+Y4wHLjwAhKJ9LmtzPTw04wgjOjjDg5bsz4hsdlszAn4Cg5G0pWI43JeY2fkoSb1vScU59rruyivsgTEQPdeDEajOJREgivHdqOkUDoBw90nEK07dGUwKqnKgdbK6D4jasblciGRSJhPjLy9vZGYmFjrcePGjZP3Fk2KgWdXlHp9CkD6h78g/Bxyr+9vEn8gw56kYvYvNxDzKlumvqtPM2z+pjtatVDcwDpVo6eli4VdpsOQp0/X3U4Mx7nYqwxGRagjsUSMi/E36bK5rik6Mri1giJF3vwXSfHSzWFNrezQbfA4lelOagrv06qO8cTom2++wY8//oj09JpnUj148EDeWzQ5gmZeMB84HTLJ0f2zyL1xUGN/6crKRdhy/BHW7XuAYr60+0hXm4N5I33x7Zj20NfV/E9g1gaW+KbzFHBY0l/JQ49P4WHq0xrOIghZD949lllNvV/LbuCyVWcFeHmlvHqOiKun6TJXi4cBo2aAp62665YR6kvuwdeHDh2CUChE79694eXlBVtbW2hra84aGUwx8OoONouFrH+3Ae871wrunQYAmPUYozKfjhTh9bsCbDgYiZTMYpn6lg4m+HZMe9hZNK1F2tpYueHrdiOwO+owAIAChU33/sDa3gthr4GbfhKKdz72Gv1vbQ4PvZ2DGIxGMUoK83H5yE6ZD4c9hoyHmbX6zkolVJvcidGpU6fof0dHRyM6OvqDx2nSH/LGYujdExRFIfv8Nrqu4N5psFhsmHYfpfZfU4mEwtnQ19h3/jlEYukgShYL+LxHS4zu7wEup2kuyt7HtQuSC1JxMeEmAIAvKsPPd7bjx94LYajdtBJFon4SchIRm/OaLndzCoCBtn4NZ6g+iViMS0d2oLS4kK5r3aEb3H07MRhV07Jt2zZs2rSJLsfGxjIYTeNo0DpG165dq/F1iqLQp0+fhtyiyTLy6QWAQvb57XRdfthJgMWCabeRapsc5ReVY/Pxx3j4MlOm3sxIB9+MagfvlpYMRaY6xvt+gXdFaYjJqHgDyijOwsaw3VjabY5GdIsQylF1+w8AGODWg6FIFCf86mmkvpH+IbawdUTXT0cxGFHTM2PGDMyYMQNjx45FREQE0+E0CrkToxYtWqBZs9qbMv38/OS9RZNn5NMboChkh+yg6/LvngDAgmm3EWqXHMWn8vHb2VsoKBbI1Ad42mD2MF8Y6TO7o7Kq4LA5mBc4GUuu/oz04iwAwLPMOPwVfQyT2o9kODpCFeWW5uNechRd9rVtg2ZGqrmZcl29jX2CqJv/0mUtbR30HzUDXC3yPkEol9z9FRcuXKjTcQcOHJD3FgQAI98+sBgwVaYu/+4/yAs9xlBE9ScQirHn7DMcupkjkxTxtDiY8YU3lkzoSJKi/zDQ1sd3XWZAV0s6uPRywm1cTrjFYFSEqrqUcAviKhsRq/uCjkX5Obh8dJdMXa/Pv4aJBVkehlA+hWwJwufzERcXh+zsbPTq1Qvl5eVkILYCGbXrW9FydFH6RpEfegwssGDadRiDkdUuOaMIGw5G4k1qoUy9k60RFoxpD0cbI4YiU33NjGwwN3AifgrdRg88/fPhMdgZWsPT2oPh6AhVUS4S4MqrULpsb2SLttatGIyoYcQiES4e3o5yfgld17ZTb7h6dWAwKsX5999/ceDAAbx58wYURcHR0RFdunTB4MGDweVy0auXdN2ptWvXoqioCMeOHUNKSgqMjY3Rt29fTJky5YPbX9y6dQt79uzBs2fPIBaL4ezsjC+++AIjR44Emy1tB+Hz+Th9+jSuXLmChIQE5ObmwsLCAl27dsX//vc/mJub1/ocKSkpMrECwJAhQ/DTTz/VK55Hjx5h+PDh9Dl//fUXnj17hhMnTiA5ORlCobDadZWtQSNcs7KysGDBAvj7+2PEiBGYPXs2ACAiIgL9+vXDvXv3arkCUVdG7fvBov9kmbq80KMq23JEURQu3EvE3N9uVUuKBnVxxq//60qSojrwtfXEWO+hdFlCSbAxbA/dxUYQoW/DUSyQJhHBbj3Vrpu9qrCLx5GR/IouW9s7o/OA4TWcoT4OHDiA+fPno3fv3rh8+TJu3LiBSZMmYd++fdixYwfs7e0RGxuLdevWAQD27NmD+Ph4/PXXX4iIiMD//vc/HD16FDNmzIBAIDsk4Y8//sCUKVNgb2+PS5cu4e7duxg6dCjWrFmD5cuXyxybkJCA77//Hq6urjh+/DgePHiAX3/9FY8fP8aIESNQXCw7U/hD7O3tERISAhsbG/z888+IjY2VSV7qGo+Pjw9iY2Mxa9YsAMCuXbuQkZGBvXv34urVq3B1dZX76y0vuROj7OxsDBs2DOfOnYOBgQFatWpFf6r19PREUFAQpk2bhufPnyss2KbOqH1/mPebJFOXd/so8u78w1BEH1ZYIsC6fQ+w7Z/HEAilexfpabOx7KsOmDzYCzwtMoi4rga69UL3FoF0uVhQgp9Dt6FUyGcwKkIVUBSF81UGXRvy9NG1eUcGI2qYV8+i8PjuZbqsrauPfqOmg8NlZL9zhTt58iRMTEwwefJkmJiYwMDAAAMGDMD48eM/eLxQKMSaNWtgbW0NXV1dfPnllxg7diyePXuG/fv308e9ePECv/zyC+zt7bFmzRpYWlrCwMAAY8eOxaeffop//vkHd+/epY/X1dVF165dsWTJEvra7du3x88//4ykpCQcO1b7B+74+Hh89dVXWLBgAQYPHizzWn3jqYqiKMydOxfW1tawsbHB1KlT0bZt2zp8dRVH7sRoy5Yt4PF4+OuvvxAWFoaTJ0/Sr5mammL58uWYNGkSdu7cqZBAiQrGfgNg3neiTF3erb+Rd/cEQxHJepKQhTm/3sC9mDSZel83S0wPtoZfKzJGoL5YLBYmtx8Jd3PpflfvCtOx6d6fkFTZM4poep5kvMC7Qukiu71duoDHVc/xegU5mbj2zx8ydb2/nAQjUwuGIlI8FouFgoKCaknBpEmTsGDBgmrH9+vXT6YLDACCg4MBAGfOnKHrjh49ColEgiFDhoDDkf3QOXDgQACQ+Rvt6uqK3bt3V7ufm5sbAODhw4c1PkdsbCy+/vprLFq0CJ988km11+sbT1X9+/eXKQ8aNAijRjXuTES5E6Pbt29j/fr1CAgI+Ogxw4cPx5MnT+S9BfERxh2CYd73a5m6vJuHkXf3wz9ojUEklmB/yHMs2xGGnIIyup7LYWHiIE8s/7ojDHVJK5G8tDhamB80FRZ60q1RotOe4nDMaeaCIhhXdUFHDouNfi27MRiN/ERCIS4e3gpBmbQVtF23YLRo5cNcUEpQuUXWxIkTMXbsWPz999/Izs6GgYHBB8f12NnZVatr0aIFgIrusMrutMq/s61aVR9bZmNTMTvx6VPZVfQjIyMxbdo09OjRA61bt4a7uzt9fkFBwUef4cWLFxg/fjyEQuFH//7LE08lW1vmF7OVu30yOzsbrVu3rvEYfX195OTkyHsLogbGHQYCFIWcK3vpurybh8BisWDSaUijxpKWXYINByMRn5wvU9/M0gALxrSHi70JxGLxh08m6sxExwgLg6Zh+bVfUC6ueEM8+/IK7I1sZbraiKYhpTANj9KlQxUCHf1gpmvCXEANcOf838hKTaLLdk5uCOgztIYz1NPgwYPRrFkz7N69G3fu3EFERATWrFmDvn37YsmSJbC0lF3H7UMDrHV1dQFUdDmVlJSAx+PRY4JmzJjx0XtX/Vt89uxZLFy4EG3btsXvv/8ONzc38HgVLY3u7u41PsOkSZPg6+uL69ev4/vvv8fmzZurHVPfeKpShYlbcidGJiYmePnyJby8vD56zJMnT2BhoTnNoKrGuOMnoCgKuVf/outybxwEWCyYBA5W+v0pisKNqBTsOPkY/HLZxKdfQHNMGuQJHW3NGBugKpxMHTArYAJ+vSudobgr8jDsDK3hZuFcw5mEprkQd0OmPFBNp+jHPrqHp+HSZ9HVN0TfkdPA5mhmC3OHDh3QoUMH5Obm4uLFizh06BBCQkLw8uVLnD17Flpa0r0hS0tLq53P51e0qrHZbOjrV6xsbmhoCADYu3cvOnWqfVXwrVu3gqIorF69Gh4e9Zvh+v3336NHjx4YMWIELl26hPPnz9PdY5XqG4+qkbsrrUuXLvj2228/uhLm27dvsWrVKnTrpp5Nu+rCxP9TmPWWHbiXe/0A8u+f+cgZilHCF+LXQw/x298PZZIiA10tLBrfAbO+9CFJkZL42/timOendFkkEWHD3Z0ym4cSmq24vAS3Eu/TZXcLF7iYNWcwIvnkZabh5ql90goWC31HTIWBkSlzQSnRnTt3UFJSMYPQzMwMo0aNwqlTp+Dq6orXr18jISFB5vjU1NRq13j9umLbFxcXF7qVx9vbGwDw7t27D9735cuXePz4MV2uPM7JyUnmuLKyMtSmT58+4HK5+Pnnn6GtrY3Vq1cjK0t2lmx941E1cidGs2fPRmFhIcaPH4++fftizpw5AICFCxdi9OjRCA4ORnFxcY1NaYRimPgPglmvcTJ1udf2Iz/8rFLu9zIxF3M23sSt6BSZek8Xc2ye3wOd21bvFycU6/PWA9DJoT1dLigrxIbQHSgTlTMYFdFYrr6+A4FYSJfVsbVIKCjHhcNbIRRIf2Y79hwEB9c2DEalXCtWrEBkZKRMHY/Hg6OjI4Dq3UgXL16sNsEiJCQEQMWaQZWGDx8ODocjs4dppdLSUkycOBGhodK1rirH8fx337OoqCjUlYuLC7755hvk5+dXWw6gvvGoGrkTIxsbGxw8eBCtWrVCUlISLl++DIqicPbsWURFRaFNmzY4cOBAtT5TQjlMAj6DWc+xMnW5V/chP/ycwu4hllA4ciUW3229g8xcaRMvm83C2AGtsGZaZ1ia6irsfsTHsVgsTO84Ds6mjnTdm/xkbAvfDwlFZqppMpFEjIvxN+mypZ4ZOjTzZi4gOVAUhZun9yM3Q9qi4ODaBn49BzEYVeP48ccfER4ejpKSEhQWFuLkyZMIDQ1Fly5d4Ows2x1ub2+PZcuWITMzE3w+H8ePH8fBgwfh6emJMWPG0Me5u7tj4cKFiIqKwqJFi/Dq1SuUlZUhJiYGU6ZMgaWlpcySABMmTAAALFu2DE+ePAGfz0dERARWrlxZr2cZP348/P39cePGDZw4IZ0ZXd94VE2D+jpcXFxw8uRJPHnyBDExMSgqKoKhoSG8vb3h6empqBiJOjIJHAxQVMU4o/dyr/4FFosF447Vp1TWR2ZeKTYefohnr2UHzFmb6eHbMe3h0dzsI2cSyqLN5WFB0DQsvvIT8ssqFtG8n/IQJ57Z4kvPhn2/CdUVnvIQufx8uty/ZQ9w1Gxz4RdRoYiNDqPL+kYm6DN8SrWp6Zpmw4YNOHPmDFavXo20tDSwWCzY29tj3rx5GD16dLXjBw8eDDabjUmTJuHNmzcwMjLC8OHDMXXqVLobrdKECRPg6uqKP/74A8OHD4dIJIKdnR369u2Lr776ih73AwCjR4+GiYkJ/vzzT4wfPx4sFguenp5YtWoVvv76a0RERMDd3Z1eaHLx4sX0ue7u7vRK1L169aK7y5YsWYIlS5Zg//798Pf3r3M8/11BuzJh+vHHH/H5558r6CtfPwoZBNK2bduPLsC0ePFi+otLKJ9JpyGgKAp5Nw/RdTlX9gIsNow7BMt1zbuPU/H78Uco4Qtl6ru3t8f0oW2hp6P1kTMJZTPXM8WCoGn4/vpGCCUiAMDxZ+dhb2yLwCpdbYTmCImVLuiozdVGT2f1GtyanZaMW2ekH95YbDb6jZgOPQPNXwm/ffv2aN++fr+XgwcPlllAkaKoDw7KBoCgoCAEBQXV6boDBw6sNmgaqN69BgBDh354huD169c/WF+feCpX+65U+XwfmpHXWOROzz+0PsGHnD59Wt5bEHIy7TwUpt1kd2HPufwHCh6E1Os6ZeUibD4ajZ/2P5BJinS1ufhmVDvMH9WeJEUqoKV5C0ztMEambmv4PrzJS2YoIkJZ4rJfIz43kS73aBEIfR5zf0DqS1DGx4VDWyEWSd9PAvt+DrsWbgxGRRCy5E6MKIqCSCT66Oupqakq3Yeo6UyDvvhwchR5oU7nJ6TkY+5vN3ElIkmm3t3RFJvnd0eP9g4Ki5VouK5O/vjMoy9dFoiFWB+6Hfn8jy/URqifqtt/sMDCgJY9GIymfiiKwvWTe1GQk0HXObXygW+X/jWcRRCNr0EdunPmzPlgcnT8+HEMGjQI4eHhDbk8IiMjMXbsWAQGBqJz586YP38+0tPTaz8RFauCbtq0CcOHD0ePHj3g7++P4OBgbNq0CUVFRQ2KS12YBn0B066ymy/mXNqDwqiLHz1HIqFw6mYCFmy+jXdZ0o0pWSxgWG83/DQrCDbm+kqLmZDfSK/P0N5Ouq5YDj8PG+7ulJm9RKiv7JJchKdE0+V2dp6wNbRiMKL6ibl/HQkxD+iyoYk5en8xESwNH1dUHykpKXB3d6fH9CxevBju7u5ISUmp5UxCkRr0E6mtrY25c+fSqxpnZmZiypQpWLFiBQBg3bp19May9XX//n2MHz8evr6+CA0NxYULF1BQUIBhw4ZVWzPhQ/bs2YO9e/di2rRpuH79Ou7du4cZM2Zg586dGD9+fI2tXZrEtMswmHQZJlOXfXE3Ch9ernZsbmEZVu6+hz/PPYNILP2+WRjrYO30zhg7oBW4HPImpqrYbDbmBHwNByPpkvrxOW+wK/KQ3L+HhOq4mHBLZsahOk3Rz0h+jTvn/6bLbA4H/UfNgI6eAYNRqZ7K8Tb//c/e3p7p0JoUuf/KdejQAb/88gtYLBbmzZuH06dP49NPP8Xt27fRsWNHnDt3DkOGDMGsWbPqfW2RSITly5fD0dERc+fOBZfLhZGREdauXYvs7Gxs3LixTtcZPXo0evToARaLBTabjU8++QT9+vXDs2fPProwpSYy6zocJkFfytRlX9gpkxxFPE/H7F9u4FGcbNIZ6GWLzd/2gJcLWcFcHehq6WBhl+kw5Elb9W4nhuNc7FUGoyIaqkxYhmuvpOu+NDduhjZWNW/doCrK+CW4+Pd2SKpsCxQUPALWDmSldkI1yZ0YHThwABwOB7/99huEQiEWL14MgUCAJUuWYN++ffQCUvIkRuHh4UhKSkLfvn1lpm9aW1vDx8cH58+fp1cP/Zhp06bh66+/rlZfuYFd5V4uTYVp1+Ew6fyFTF32hZ3Ii7yMnSef4Ic/wlFYIqBf0+ZxMOtLHywe3wGGeuq5W3dTZW1gifmdp4DDkv7uHHp8Cg9TYxiMimiIW4nhKBFKN1gNdusJFovFYER1Q1EUrh7fg6K8bLrO1asDvAJ71XAWQTCrwf0iXC4XmzdvRteuXeHv74+xY2UXGazr7LWqKltzPrSZnYeHB8rLy2tdTtzJyemDuxU/f/4c2traH11eQFOxWCyYdhsBk06y0y7zLu1E9gPZbjVnO2P8Nrcb+gU0V4s3X6K61lZumNh+BF2mQGHTvT+RUpDGYFSEPCSUBCHx0kHXRtoG6Ny8A4MR1V106EUkvnhEl43NrdBz6FfkfYVQaXVex6i2afc9e/bEb7/9hrlz56JHj4bNlHjz5g0AwMqq+sDCyrrExMR6bU6XmZmJffv2ITo6Gj/88APdciQPsVis8N3iK6+n7F3ojboMh0QiQeH903TdcP17oACEC1piUBdnjB3gDi0uR6GxNNbzMUnVnrGHUyck5qXg8qvbAAC+qAw/hW7Dmp7fwlC7/mM7VO35FE1Vny867RnSijLpcm/nLuCALVecjfmMaYnxuHfpH7rM4Wqh74jp4GjxlHZ/Jr+HYrEYFEXR/ylL5bU1ddygPM9X+TWv6ften5+JOidGixYt+miWT1EUWCwWKIrCpUuXcPnyZZn6+qrs5tLR0an2WmVdXWeW5efno2/fvigoKIC1tTXWr1+P/v0bNj00Li6uQefXJCZGud0dJWVinH1kCTd+G/TWfQYAYLOAEfr3EOBhBFMHezx7qrwYlP18qkCVntEbrojVTcBbfsVmlJkl2VhzdROG2Q2Q6WqrD1V6PmVQtec7+k66/hgHbNjyTfHo0aMGXVPZzygs5+PxlSOgquzz1dy7C1IycpCSkVPDmYrB1PeQy+WCz+c3ygrefD6/9oPUWH2eTyKRQCgUKuz7Xq+Vr3/88cd6XZyiKCxdurRe5yiaiYkJIiIiUFRUhGvXrmH58uU4c+YMfvvttw8mXnXh5uam8FU5xWIxYmJi4OXlBQ5HOcv7P47Pxp5z0cgrKkcs2oEFoFeV5Mg55TLMvV1g4NVd4fdujOdjmqo+o1sbdyy//gvSiysG1ifx0/CIisdE3+G1nClLVZ9PUVTx+ZILUvE2QbrDeufmHRDkJ/9K143xjBKJBCH7N0FYJh0H6uYTiJ6DRyq9C43J76FYLEZCQgJ0dXWVem+KosDn86Grq6uRXZLyPJ9YLIaWlhZatWr10a99aWlpnRs16pUYVd3Nt66WLFlS73MMDCqa+cvKyqq9VllXdd+XujA0NMTgwYMhEomwdOlSbNu2Dd988029YwMADoejtB98ZVxbKJLg0MUXOHkzAdLWSRZCBH5o29Iclim339dRyDm/HWwOB4ZKSI4A5X7tVIWqPaOxrhG+6zIDS6+uR+n7AbxXX4eiuUkz9GvZrd7XU7XnUzRVer6Lr27JlAe691JIbMp8xoc3zyM54RldNrOyQ48h48HlKmQHqjph6nvIYrHo/xrrXpqqPs9XeWxN3/f6/DzUub3v1q1btR/0AS9fvqz3OS1atABQMS7ovyrrnJyc5Iqna9euAIAbN27Idb66Sc0qxsLfb+PEjapJEeBgbYCNc7uh47g5MPb/tMoZFLLObkFRjHzfb0I1NTOywdzAiTJvNHujj+FpRv1/P4nGUVhWhNBE6SK5rS1booWpaq84n5zwHOHXTtNlLZ42+o+eCS2eNnNBEUQ91Tkxsra2lusG48aNq/c5HTt2BPDhzexiY2Ohra0Nb2/vGq9RuYzAf1V2n+Xl5dU7LnVCURSuRiThfxtvIiFFdluIAYFO2Di3G1rYGYPFYsGs13gYday6GzuFrHNbUPw0FITm8LFtg7He0t2qJZQEv4btRnpR9Q8gBPOuvr5DbwwMVLQWqbLiwjxcProTVT+BdR8yHmZWdgxGRaiSkJAQuLu713ktQqYoZIRYSUkJ0tLSkJqaKvPfu3fv8ODBg9ov8B/+/v5wdHTE5cuXIakyeC8jIwPR0dEYOHAg9PWlC9hlZmZWW8l6x44dePHiRbVr379/HwDg6elZ77jURTFfiA0Ho7DpaDTKBNKR+IZ6WlgyoSNmfOENHZ60WZvFYsG89wQYdaiy0zIlQebZzSh+RpIjTTLQrSe6twikyyWCUvx8ZztKBZo9kFPdiMQiXIqXttpa61ugva1XDWcwSyIW4/KRneAXF9J1bTp2h7tPYA1nEU3NmTNnAADnzp1T6Vl1DUqMbt68iUGDBsHPzw89e/ZEr169ZP7r3bu3XNflcrlYvXo1kpKSsGnTJojFYhQVFWHp0qWwsLDAvHnz6GNDQkLQpUuXDy4kuXTpUsTExNDT+O7cuYPVq1dDX18fc+fOlfexVdqz1zmY8+sNhD56J1Pf1tUCv3/bA4Feth88j8ViwbzPVzDyC5ZWUhJkntmM4ud3lRky0YhYLBYmtx8JdwsXuu5dYTo23f9T5kMIwayw5CjklUlbege49WiUmU7yCr96CqlvpC38FraO6PLJKAYjIlRNTk4O7t+/DxcXF6SmpjZ4L1Vlkvs37f79+5gxYwa4XC4GDRoEiqIwePBgDB48GP3794edXUXz6cCBA2u50ocFBgZi3759ePjwIYKCgtCvXz8YGRnh6NGjMusbmZqawsDAgF5pu9K+ffvQtm1bfPfddwgKCkKHDh2wcuVKdOvWDadOnYKHh4e8j66SxGIJDl96iSXb7iArT/rpn8NmYVxwK6ye2gnmxro1XoPFYsG879cw8hsgraQkyDz9fyQ50iBaHC1823kKLPTM6LrotKc49OQUg1ERlSiKwvm4a3RZl6sj08qnahJfPkbUzfN0maetiwGjZ4KrpcVgVISq+ffffxEYGIhRoyoS5srWI1Uk9zSBXbt2YdSoUVi2bBkA4OzZs1i3bh39ukgkwuLFi+HsLP9+OH5+fjhw4ECNxwQGBiIqKqpafUBAAAICAuS+tzrJzC3FL4ei8CIxV6be1lwf345pDzdH0zpfqyI5mghQFAqjLlZUvk+OwGLBoJX8U4UJ1WGsY4SFQdOx/NoGlIsrtoI5F3sVDsZ2Kv1HuCmIzX6FN3nJdLmnc2foadX8oYYphXnZuHJst0xdry++hrF59cV5iabtzJkzmDx5Mvz9/fHTTz/h0qVLWLlypdzL5iiT3InR06dPsXbt2o9fmMvFvHnzMGnSJEyfPl3e2xC1CI1+h63/PEJJmewYq55+Dpg6xAt6OvX/1MZisWDeb1JFcvTwUkUlJUHmqd8qkiMP8odTEziZ2mN2wFf45e5Oum5X5GHYGlrJdLURjevfKq1FLBYLA1p2Zy6YGohFIlz6ezvK+dL1irw794WLpx+DUaknsYTCm9QClAvqsjozhbKycujo8AEob7q+No+DFnbG4LAbfo+EhAQkJyejV69e4PF4CAoKwo0bN3D16lV88skntV+gkcmdGAkEApm9yHR0dFBYWAgjIyO6zsjICCkpKQ2LkPig0jIhdp2OwbUHyTL1ejpczPjcG93a2Tfo+iwWC+b9J4GiKBRFv99L7X1yxBrCgr5H02iN03Qd7X0w3PNTHH16DgAgkojwy52dWNdnESz0zWo5m1C0zOJsPHgn3Qeyg503rAwsGIzo48IuHkdG8mu6bO3ggk79v2QwIvUkFEmwaGso4pLymQ6lGjdHE/w0swu0uA0b33b69Gn0798fPF7FhuSfffYZbty4gdOnT6tkYiT309ra2iI+Pp4uN2vWDKGhsjOYLl68CGNjY/mjIz4oLikPc3+7VS0p8mhuis3zezQ4KarEYrFhMWAyDH37SCslYmSc2oiSl6o7cI6on6GtB6CTQ3u6XFBehPV3tqNMVM5gVE3TxfibMrN1gt16MhjNxyU8jcTju9LNp7V19dF/1HRwGnERR02RkVuikkkRAMQl5SMjt6T2A2sgkUhw7tw5fPbZZ3Rdz549YWhoiLCwMGRlZTU0TIWTOzHy9fXF8uXL8fz5cwBAly5dsGzZMvz88884cuQIVq1ahVWrVqFdu3YKC7apk0gonLgej4W/hyItW/rDymYBI/q446eZQbA2U+xWJRXJ0RQY+lSZYSgRI+PUryiJjVDovQhmsFgsTO84Ds6mjnRdYn4Ktobvg4QiM9UaC19YhmtvpJMcWpg4oJWlK4MRfVh+dgau//OnTF2fYZNhaGL+kTOImlib6cPN0YTpMD7IzdEE1mb6tR9Yg/DwcHC5XLRvL/3wpa2tjf79+0MsFuPff/9taJgKJ3d6/9lnnyEmJgY7d+7Epk2bMHnyZJw/fx579+6lN5Q1MjLC/PnzFRlvk5VTwMdvfz/E4/hsmXoLE118O7o92jgr702JxWLDIngqQFEoevx+/INEjIyTv8L682+h79ZBafcmGoc2l4eFQdOx6Mo65JdVrEUTnhKNf56FYJin6jV1a6Ibb8LAF0q3QRro3kvltnwQCYW4eHgbBOXSma/tuw+Ek0fNC+4SH6fFZWP97K5yjDHShjqMMTpz5gxyc3MRFBQkU1+59uCZM2fw1VdfNegeiiZ3YuTv749z587RZTMzM5w+fRrHjh1DamoqbG1tMXToULlXzCakwp+mYdPRRygqFcjUd/a2w6wvvGGgx1N6DCwWGxYDp4GiKBQ/uV5RKREh48QvJDnSEGZ6JlgQNA3fX99Ir7j8z7PzcDC2RWCVrjZC8SQSCS7E36TLJjpGCHRQvdb20H8PITstiS7btXCHf+/676FJyOKwWXC1N6nTsRRFobS0FHp6eiqXOP8Xn8/HlStXcP78eXoJn6r69euHFy9eIC4uDm5ubgxE+GEKXTHMzMwM06ZNw+rVqzF9+nSSFDVQuVCM7SceY83eCJmkSJvHwZxhPvhurF+jJEWVWCw2LD+ZDoO2PaSV75OjkvjIRouDUJ6W5i0wrcNYmbqt4fvwOjfpI2cQivAwLQYZxdKxFn1du0GLo1rrAMVGh+FZhHQ1bl0DI/QbMQ1sFdlwl1A9V65cgYeHxweTIgD0wOvTp083YlS1U0hixOfz8fjxY1y7VtHNUl5OBm021JvUAsz77RZCwhJl6l3sjfF/87qhj39zRj4tsFhsWA6cDgOv7tJKiQgZJzagNKH6elKE+uni1BGDW/WjywKxEBvu7KC72AjFOx93nf63FpuLPi5BNRzd+HIz3uHGqX3SChYL/UZMhb6RCWMxEarvzJkzGDRo0Edfr0yMzp07p1Ir7zcoMcrKysKCBQvg7++PESNGYPbs2QCAiIgI9OvXD/fu3VNIkE0JRVE4F/oa8zfdRnJGkcxrQ7u7YsPsrrC3MmQougosNgeWn8yAgVc3aaVYhPR/1qM04SFzgREKM8JrENrbSffmyuHnYWPYLogkohrOIuSRmJeMZ5lxdLlL844w1jGq4YzGJRSU4+LhbRAJpa3W/r0Gw96lNYNREaosMzMTnTt3xt27d7Fx40asWLGi2jEnTpzAmDFjwGKx6OMPHz7MQLTVyT3GKDs7G8OGDUNaWhrMzMxgY2NDb9rq6emJoKAgTJs2DX///Tdatya/QHVRUibG2r0PEPlSdrdzU0NtzBvZDr7uqrOabEVyNBOgKBQ/vV1RKRYh45/1sP7yO+i5+DIbINEgbBYbcwK+xrJrG5BckAoAiM9NxEXhHbSnyHgjRQqJuyFTVqUp+hRF4ebp/cjNTKXrHFq2gV8PMiCf+DgrKyvcvVvzNlKff/45Pv/882r1qrC5rNwtRlu2bAGPx8Nff/2FsLAwnDx5kn7N1NQUy5cvx6RJk7Bz584arkJUio7LwvaQjGpJUYfW1vj92x4qlRRVYrE5sPx0FgzadKHrKLEQGcd/RunrR8wFRiiErpYOvguaDkOedLrus6IEmZWZiYbJLyvEnaQHdNnL2h2OJs0YjEjW88jbiI0Oo8v6RqboO2wKWCq8oS1BNJTcP923b9/G+vXra9yPbPjw4Xjy5Im8t2gywp+mYdWecBSXSftYtbhsTBviheVf+8PYQJvB6GrGYnNgOWg29Ft3puukydHjGs4k1IGVgQXmd54CDkv6VvF3zBlEpcYwGJXmuJJwW6Z7MtitF4PRyMpKTcLtswfpMovNRv+R06FroDrdfAShDHInRtnZ2bV2kenr6yMnJ0feWzQZtx+9kyk72hhi49xuGBjkrPLTMYGK5Mjqs//JJkciATKO/4TSNyQ5Unetrdwwsf1IukyBwuZ7f9JdbIR8BGIhLifcpsu2BlbwtW3DYERSgjI+Lh7eCrFImrQF9vsCtk4tGYyKIBqH3ImRiYkJXr58WeMxT548gYWFau7zo0o6tbVDZf4zILA5Ns7tBidb9fpURidHraQbzFIiATKO/QT+G9JqqO56uwShn6t0sD1fVIb1odtRVF7MYFTqLSwpEgXl0gkWA9x6gM1ivouKoihcO/EnCnKk3fotWvnAt0t/BqMiiMYj929hly5d8O233yIi4sPbQrx9+xarVq1Ct27dPvg6IdW5rR3+WNIb3wy2xdQhXtDWUs91QSqSo7nQ95BNjtKPrQM/8SmDkRGKMLbtUDTXla5HklGSjY1huyGS1GW1XqIqiqJkpujraemiu5NqbMz85N41vHoqXZfM0NQCvb6cpBat1wShCHInRrNnz0ZhYSHGjx+Pvn37Ys6cOQCAhQsXYvTo0QgODkZxcTFmzJihsGA1mZmxDoz01DMhqorF4cJq8Fzoe0jf5CmRAFn//ARuzlsGIyMaisPmYLBNL9gYWNJ1zzLjsPfhUQajUk/Ps+LxNj+FLvdy7gwdLR0GI6qQkfwad0OO0GU2h4v+o2ZAR7dh+2URhDqROzGysbHBwYMH0apVKyQlJeHy5cugKApnz55FVFQU2rRpgwMHDsDS0rL2ixEapSI5mgc9d3+6jhIJYPDwGMqSnjMYGdFQOhxtfNtpKvS0dOm6K69CcSn+Vg1nEf91PlY6s4/NYmNAyx41HN04ykqLcfHwNkjE0hbAoIEjYG3fgsGoCKLxyb2OEQC4uLjg5MmTePLkCWJiYlBUVARDQ0N4e3vD09NTUTESaojF4cJ6yDxknNyI0riK7laWWIjM4+tgM2IpdB1VY5ApUX/NjGwwN3AS1oVuodcc2Rt9DHZG1vCy9mA4OtWXXpQpM6uvo70PLPTNGIwIoCQSXD2+B0X50skyLdt2hFeA6qypRBCNRSEj/dq2bYvRo0dj2rRpGD16NEmKCAAAi6MF66HfQK/KBrOUsBzpR34En7QcqTUf29YY5y1dnE1CSbAxbDfSizJrOIsAgAvxN0FBuojdQBVY0DE69CISX0pnkJpY2KDH0AlkXBHRJCkkMXr27Bn++ecf/PXXX/jnn3/w/Dn5o0dUqEiO5kPXVbpaMiUsQ/qRtShLfsFgZERDBbv1RI8WnehyiaAUP4duR6mAz2BUqq1UwMeNN9IFE13MmsPN3JnBiIDUN3G4d/kEXeZwtdB/1AzwtHVrOIsgNFeDutIePXqE5cuXIyEhodpr7u7uWL16Ndq2bduQWxAagMXRguXgb5CwbyV4WRU/K5SwDGlH1sB2xHLoOJDuF3XEYrEwqf0IpBVl4GX2KwDAu6J0bLr/B74LmgE2WR25mutvwlAmkm6yPdCtF6OtMqXFhbh0ZDuoKht4dvtsDCxsHRiLiSCYJvc715MnTzB+/HjEx8fDxcUFvXv3xqefforevXvD2dkZL1++xPjx4/H0KZmmTQAsrhZKfIdC16UdXUcJypB25AeUpdS8HhahurQ4WpjfeQos9KRjZKLTnuHgk1MMRqWaJBIJLsRL90Uz1TVGgEO7Gs5QfjxXju5ESWE+XefRPgit/boyFhNBqAK5W4x+/fVXODo64tdff4Wbm1u112NjYzF//nz8+uuv2Lt3b4OCJDQEmwvLIfORdepX8F89BPA+Ofp7DWxHrYBOs+o/R4TqM9YxwsKg6Vh+/ReUv28N+Tf2KhyN7dC9RWAtZzcdD1IfI6tEOri5v2t3cNnMLdERef0skhOkwx7MrJuh26AxjMVDaJbevXujsLAQBQUF0NbWhqGhIQCgsLAQJiYm8PDwwPTp09GuHXMfDj6mQS1G69ev/2BSBFR0pa1fvx6PHj2S9xaEBmJxtWD9xQLoOvvSdZSAj7S/f0DZuzgGIyMawsnUHrP9J8jU7Yo8jNj3XWwEEFJlQUceRwu9XYIYiyUl4Tkirp+ly1o8bQwYNRNaPNXdl5FQL1evXsXvv/8OAAgODsbdu3dx9+5dPH78GGvWrEFkZCTGjh2Lhw8fMhxpdXInRhwOB66urjUe07JlS2hpacl7C0JDsbk8WH+5ELrOPnQdVV76PjmKZy4wokE62vtghNcguiySiPDLnZ3ILsllMCrV8Dr3LV5kScdidnUKgKG2ASOxlPOLceX4boCSzozrMWQCTK1sGYmHaFrYbDa6deuGESNGQCQS4fjx40yHVI3ciZGXlxdevKh5VtGzZ8/Qvn17mbotW7bIe0tCg1QkR99B19mbrqPKS5H+92qUpVYfzE+ohyGt+qOTox9dLigvws93tssMOG6Kqm7/AQDBDC3oKBGLEX//EspKpHu0efr3gJuPamxHQjQdDg4VA/wzM1VviQ+5E6N58+Zh5cqVePDgwQdfDw8Pxy+//ILFixfL1G/dulXeWxIahs3lwfqL76DbQpocScpLkX54FcpJcqSWWCwWZnQYCxfT5nTd2/wUbA3fBwklqeFMzZXLz0dYchRd9rZpDXtjZlpnIq6eQlFOGl22tGuOoIEjGYmFaNrevq3YIsrZmdnlKj5E7sHXv/zyCwoKCjBu3DiYm5vDxsYGenp6KC0tRXp6OnJycuDq6oply5YpMl5Cw7C1tGH95XfIOP4T+G+eAKhIjtL+Xg3bUSuhbevCcIREffG4PCwImobFV35CXlkBACA8JRr/PDuPYZ6fMhxd47uccBviKhvtMrWg45sXjxAdepEu83R00X/0DHDJcAfGURIxBBlvQdWhZZWiKAjKysDW0VHqUg8srjZ41s3BUvAEgfLycty6dQtHjx5F8+bNMXnyZIVeXxHkTowiIiLof2dnZyM7O7vaMfHx1ceLkJVUif+qSI4WIf3YOpQlVmyVICkrQdrhyuRI9T5REDUz0zPBgqBpWHn9VwglIgDAP89CYG9kh06O7Ws5W3MIRAJceRVKl5sZ2cDbpnWjx1GYl42rx/fI1PX+YhKMzawaPRZCFiUWInX/cpSnqt74Sm27lrAb9wNYnIYlzyEhIQgNrfg9KCgogFAoRI8ePbBkyRJYWanez2CDFnh8+bL+6894eJDF/Ijq2FrasBm2GOlHf0TZ24q1ryRlxUg7vAq2o1dC24YkR+rG1dwJ0zuOxeb70uU6tkXsg42BJZzNHBmMrPGEvo1AUXkxXQ5u2bPRPxyKRSJcPLwN5fwSus67cx84t1G9adJNkTA/UyWTIgAoT42HMD8TPPNmDbpOcHAwfvrpJwAV62e9e/cOv/32Gz777DOsXbsWwcHBighXYeQeY9ShQ4faD1LgeYTmq0yOdJpLN5itTI7K098wGBkhr6DmHTG4VT+6LBALseHODuTxCxiMqnFQFCUzRV+fp4euTv6NHsfdC0eRmSL9/TEws4F/389rOINoTFomVtC2a8l0GB+kbdcSWiaKbdFhs9lwcHDATz/9BCMjIyxduhS5uao1c1XuFqMDBw406nlE08Dm6cBm2BKkH12LsvcbzUr4xUg7/D1sR6+CtrUTswES9TbCaxBSCtIQmVoxhiyHn4df7uzAyp7fgNfAJnpVFpPxEsmF0oHOfVy6QJvLa9QYEmIe4EnYVbqso2cAt4B+4HAa1FlAKBCLowW78WvrNcaorKwMOmo6xqgSj8dDq1atcOPGDTx58gTdu3dXyn3kofDfjsjISFy5cgU6Ojr4/PPP4ejYNJrMCcVh83RgM3yJzEazEn4x0g59D9vR35PkSM2wWWzMDvgKy65tQHJBKgAgPjcRux4cwkz/8Ro77rBqaxGHxUY/126Nev/87HRcO/GnTF2vLyYht1TUqHEQtWOxOXUeS0lRFCSlpdDR01P7353K+Pl81dp4Wu6utJs3b6JVq1Zo1aoVkpOTAQC3bt3CuHHjsH//fuzcuRNDhw6lp+QRRH2webqwGbEUOg6t6DoJvwhph1dBkEl+ptSNrpYOvguaLrOo4e234Tj78gqDUSlPamE6HqZJ94kMcGgHcz3TRru/SCjAxcPbICwvo+v8enwCRzfPRouBIGoiEAjotRDbtGlTy9GNS+7EKCQkBO3atcPly5fphZp++eUXAMCcOXOwZcsWODg4YOfOnYqJlGhy2Dxd2AxfCm176YB9SWkhUg99D0FmEoOREfKwMrDA/E5TwGFJ33YOPzmNqNQYBqNSjpAqm8UCwEC3Xo16/9vnDiM7LZkuN3P2QMdegxs1BoL4mOzsbKxcuRJpaWkYNmyYyvUsyd2VFhMTg02bNtFJ0dOnTxEfH4/g4GBMnz4dAGBtbY1vvvlGMZESTRJbWxe2I5Yh7cgPKE+JBVCZHK2E3ZhV4Fmq1i8UUbPWVi0xsf1I7Io8BACgQGHTvT+wtvdCOBjbMRydYhQLSnDrzX267GbuDFdzp0a7/8uHYXj+4BZd1jMwQt/hU8HmcCAWi2s4kyAUp3ITWUB2ur5IVNGV6+7ujrVr12Lo0KGMxfgxcidG6enpaNGiBV2+dOkSWCwWPv9cOtvB3d1dJZf7JtQLnRz9vQbl76TJUcWYo1XgWTowHCFRH71dgpBckIoL71tVykTlWB+6HWv7fAcjhvYPU6Trr++iXCygywPdG29Bx5yMd7h5eh9dZrFY6DtiGvSNTBotBoIAKjaRVVdyd6WZmJggNbViIKVIJMK///4LExMTBAYG0scUFRXB0NCw4VESTR5bWw+2I5dBu5kbXScuKUDaoe8hyE5hMDJCHuN8Pkdba+n4sYySbPwWthsiiXq3aIglYlyIv0mXzfVM0bGZT6PcW1BehouHt0EklCZl/n2GwN6lVQ1nEQTxX3InRu3atcP333+PW7duYeXKlUhPT8fgwYPBZksvef78eZXrOyTUF1tbD7Yjlsms+SEuyUfawZUkOVIzHDYHcztNhK2BdI2UZ5lx+PPhUVBVdn1XN+Epj5BTmkeXB7TsDo6SpjtXRVEUbp7eh7zMVLrOsaUn2ncbqPR7E4SmkTsxmjlzJmJiYjBt2jScOHEClpaW9J4nr169wrx58/Dzzz+jZ0/5m5EjIyMxduxYBAYGonPnzpg/fz7S09PrdG58fDx++OEH9O3bF/7+/vDz88Po0aNx4cIFueMhmMfW0YftyOUfTo5y3jEYGVFfBjx9fNdlOvS0dOm6q69CcSnhVg1nqbaqU/S1OTz0dO7cKPd99uAW4h5JxzUZGJuiz/ApYLHlfosniCZL7t8aZ2dnnD9/HkuWLMGyZctw+vRpmJmZAajo13ZxccH06dMxePBgua5///59jB8/Hr6+vggNDcWFCxdQUFCAYcOGISsrq8Zzc3Jy8MknnyA6Ohrbt29HeHg4bty4gebNm2Pu3LnYunWrXDERqoGtow+bkctlNpiVJkepNZxJqBo7IxvMDZwksx7LX9HHEZNR/+2GmBaf8wZxOa/pcvcWgTDg6Sv9vlmpbxF67hBdZrM56DdyOnT1yTAGgpBHgz5OWFtbY+zYsRgzZgydFAEVSdOsWbMwa9YsWFhYVDvv9OnTNV5XJBJh+fLlcHR0xNy5c8HlcmFkZIS1a9ciOzsbGzdurPF8iUQCAPjxxx/h4lLxx9PQ0BCrVq2Cra0ttm/frnJLkBP1w9HRh83IFeDZVEmOivOQdnAlhLkkOVInPratMc5bOmlDQkmwMWw30orUa+JG1dYiABjg1kPp9ywvK8XFQ9sgFkkXbQzs/yVsm6vmFhMEoQ4YaWddvHhxja+Hh4cjKSkJffv2lRmzZG1tDR8fH5w/fx4lJSUfPV9PTw+zZs2qtmGtlpYWPD09IRQK8fz584Y9BME4jq4BbEetAK/KBrPi4lykHiDJkboJduuJni060eUSQSnWh25HqUC1VsT9mJzSPNxPfkiX29l6ws7QWqn3pCgK10/sRUGuNIF0bt0OPkF9lXpfgtB0jCRGtQ2ujIiIAFAx3f+/PDw8UF5ejsePH3/0fH19fcyePfuDr1WuoWBsbFzXcAkVRidH1tKlI8TFuUg9uBLC3LQaziRUCYvFwqT2I+FhIW0BfFeUjv+7t4duAVZllxJuQUxJ4wx2U/4U/SdhV/DqaSRdNjK1RK8vJqr9NhEEwTRGdhKs7Rf3zZuKnaCtrKrv6ltZl5iYiE6dOlV7vSZisRhPnz6Fg4NDg5YgF4vFCl8orfJ6mroAm1Kfj6cHqxHLkfH3aggzEyvuU1SRHFmPWgktUxvF3/MDyPewYVhgYW7AJCy7vgHZpRVd3Y/Sn+PAoxMY4638ReDkfb5ykQBXEkLpsoORLVpbtFTqz0F68ivcDTlGl9kcLvqOmAouT7vG+5KfUeXem6Io+j9lqby2Os/erIk8z1f5Na/Lz35dqOQWy8XFxQAAHR2daq9V1hUVFdX7uhcvXkRWVhY2b94s00VXX3FxcXKfW5uYGM3bHqEqZT4fy3MwDB4cBvf92BRxUQ5S9i1DUcfRkDTiPlXke9gwn5p3w0H+OQipitbd8/HXQRWI4GXkVsuZilHf53tU8AIlwlK63EbHtcYW7YYSlvPx5NoxSKqs+dS8bWe8y8rHu6xHdboG+RlVDi6XCz6f36C/L3WlahuvKlp9nk8ikUAoFCrs+66SiZEy5OTkYN26dRgxYgT69evXoGu5ublBT09PQZFVEIvFiImJgZeXFzgc5a970tga6/nEnp7I+PsHCLMqNppllxXC7NFxWI/6Hlom1VsgFXpv8j1UGFN7C2y8t5suX84OQ8fW7eFepatN0eR5PgklwYHL5+iyIc8AIzsPAY/DU0qMlESCkIO/Q1Aq/WDo6tURvYeOqVMXGvkZVe69ExISoKurq9R7UxQFPp8PXV1djew2lef5xGIxtLS00KpVq49+7UtLS+vcqKGSiZGBQcW2AGVlZdVeq6yrz4rapaWlmDJlCjw9PbFixYoGx8fhcJT2g6/Ma6sCZT8fx9AUdmO+R9qhlfRGs+LCbGT+vQq2Y1YrPTkCyPdQEQIc22FE8SAciTkLABBJRPjt3h6s67MIFvpmtZzdMPV5vpi0l0gtyqDLfVy7QJenW8MZDRMVehFJcdJPxSaWNuj5+QRwufV7Kyc/o8rBYrHo/xrrXpqqPs9XeWxN3/f6/Dyo5OpflXuwfWiftco6JyenOl2rrKwM06ZNg4mJCTZt2qTRbwZEBY6eEWxHfQ+tKhvMigqykHZwBYQF6jUFvCkb0qo/Ojn60eWC8iL8fGc7yoTVPzAx5XyVKfocNgf9XLsp7V7vXr/E/csn6DJXi4f+o2aAp628RIwgmiKVTIw6duwIAIiNja32WmxsLLS1teHt7V3rdQQCAWbOnAkWi4WtW7dCW1sbAJCSkoK8vLxazibUGUffGHajv4dWlQ1mRQVZSDuwEqKCmhcIJVQDi8XCjA5j4WLanK57m5+CLRH7IKGYn6mWUpCGx+nSZT86O/jBVFc5s11Liwpw6chOmQGp3T4bCwsbsoEyQSiaSk7X9/f3h6OjIy5fviwzVTcjIwPR0dEYOHAg9PWlK8pmZmbS0/ArCQQCzJ49GwKBADt27JAZyL1lyxbcuHFDQU9DqKqK5GgVtCzs6TpRQSZSD64gyZGa4HF5WBA0DaY60oQjIuUR/nl2nsGoKvx3QcdgJS3oKJFIcPnoLpQW5dN1rdoHoVX7IKXcjyAU7caNG5gxYwa6deuGgIAAdOjQAV9++SXWrVuHe/fuqdySHIwkRkOGDKnxdS6Xi9WrVyMpKQmbNm2CWCxGUVERli5dCgsLC8ybN48+NiQkBF26dMGsWbPoOpFIhG+++QZ37tyBp6cn9uzZg99//53+78WLF0p7NkK1cPSNYfvf5Cg/E6kHV0JUmM1gZERdmemZYEHQNGixpeNo/nkWgrCkKMZiKiovxq234XS5laUrnM2a13CG/B5cO4OUV9KWKXMbe3QdNEYp9yIIRSovL8fcuXOxcuVKfPbZZ7h69Sru37+PmzdvYvTo0Th//jwmTJiADRs2MB2qDIUMvs7NzUVsbCyKi4thYGAADw8PmJp+fHr0unXrar1mYGAg9u3bh02bNiEoKAgsFgsBAQE4evSozPpGpqamMDAwgK2tLV0XHx+PK1euAAD+/PPPBjwZoQm4BiawHf19xXYh7zeaFeVnIPXgStiNWQ2ukTnDERK1cTV3wvSOY7H5/l66blvEPtgYWCgtIanJ1Vd3IBQL6bKyFnRMinuKBzeks960eDroP2oGtHjaSrkfQSjSihUrcOPGDZw6dQrOztIdCvT19TF48GC4urpixIgR1Xp8mNagxCg5ORlr1qxBaGioTPcYm81Gt27dsHjxYjg4yN8H7ufnhwMHDtR4TGBgIKKiZD85tmrV6oPjk4imi2tgCtvRq5B2aAWE7zeaFeWlI/XgCpIcqYmg5h2RVJCK0y8uAQAEYiHW39mBdX0WKW1sz4eIJGJcTLhJly31zdHBrvYxj/VVXJCHy8d2AlXeW3t+PgGmlrY1nEUQqiEyMhKnT5/G2LFjZZKiqjw9Peu9UHNjkDsxevPmDUaNGoW8vDwYGBjA0dERurq64PP5ePv2La5fv47Hjx/j8OHDaN688T/REcR/cQ1NYTt6dcXstFxpcpR2aCVsR68iyZEaGOE1CCmF6Yh8V7GAYi4/H7/c2YGVPb8Bj6PVKDHcT45CHr+ALg9o2UPhC/qJxSJcOrIdZSXFdJ1XQE+0bOuv0PsQqkEikSAxPwUCsaDWYymKQll5OXRKtJU6XZ/H4cHJxF7un+1jxypWZu/Vq1eNx61atUpzWow2bNgAHo+HHTt2oGvXrjJfPIlEgps3b2LVqlXYsGEDtmzZopBgCaKhuIamsB2z6n1yVLGXmjA3DWmHvoftmFXgGip3jRyiYdgsNmb7T8CyaxuQXFCR3MbnJmLng4OY5T9B6eu6UBSF87HSQdc6XG2ZzW8V5f7lk0hLjKfLls2cEDRwhMLvQzBPJBZhxfVfkZCbyHQo1biaOWF1z/ngcuqfKlT25LRs2bLG46oOg1EVcn/MCQ8Pxy+//ILu3btXyyjZbDZ69uyJDRs24P79+w0OkiAUiWtoVtFCVGUPNWFuKtIOrYSoiCzjoOp0tXTwXdB0GGob0HWhbyNw9uUVpd87Luc1XuW9pcs9WnSCnoIXdHzzPBrRty/QZZ6OLgaMmgEOt3FaxIjGlVmSrZJJEQAk5CYis0S+SSpZWRUzf42MjBQZUqOQOzGSSCTw8fGp8RhfX1+Vm4ZHEADANTKvGFtUNTnKeZ8cFZPkSNVZGVhgfqcp4LCkb2GHn5xG5LsnSr1v1QUdWWBhgIKn6BfmZePq8T0ydb2/nAQjM0uF3odQHVb6FnA1c2I6jA9yNXOClb6FXOdWtt6q4+rccnelubu74+3bt3B1df3oMYmJiWjbtq1M3enTpzF48GB5b0sQClOZHKUeXAFRXjoAQJjzDmkHV8J2zGpwDUyYDZCoUWurlpjUfiR2Rh4CAFCgsPn+n1jTawEcTZop/H5ZJTkIT4mmy+2btYWNgeISFrFIiIuHtqK8TLohrW+X/nBu3U5h9yBUD5fDxZpeC+o/xkhbtccYWVpaIjk5GQUFBbCwkC+5YorcidH06dOxfPlyrF+//oMzz5KTk7F27VrMnz9fpn7x4sUkMSJURkVytAqpB1ZAlF+x55Uw5510QDZJjlRaL5cgJBWk4kJ8xYKtZaJyrL+zHT/2WQSjKl1tinAx/qbM7NuBCp6ifyfkKDLfJdJlm+auCOj3uULvQagmNpsNZzPH2g9ERWJUWloKPT09lW6N8fPzQ3JyMuLj45tOYnTx4sX/b+++45o62/+Bf7IYYe8hougjuFCsA3FVUFFx1FXtUGzdtmprq1/052q1Wu2j9qFqXXVbF84WcSG24sJRVLQtiqgoeygBEiDj/P6ABGKYISEHvN6vFy/Nuc+5z3URDrk4476Rk5ODQYMGoV27dnBxcYFQKIRYLEZqaioePnwIb29vHDhwQJfxEqJzfEv7kuJo/1LIXpfMpSbNeonUX0vGOeKZ1d+j4KT2gn1GI1mUhvvpJQO3ZhRkY/3VbVj87hytbhqtSKG0EBcTr6peN7N2Q1uHqm8qrY3H928i7vpF1WsToTkGfTgTPB3FT0h9++CDD3DixAlERUXBz8+vwnUUCgUmT54MNzc3rFixop4jrJzWR92JEydU/79//z7u39e8tn/37l3cvXtXbRmbK1zy9uJbOZQ8rbZvGWS5ZcVRyq/L4Prxt1QcsRiPy8OXPSZjUeQPSM0ree/+znyMnbFHMLXzhzr5nfPHsxsQSyWq10M8A3T2u+xVZhqijpcNXAkOBwPGTYO5FT0hSRouHx8fjBs3DmFhYfj4448rnPj9+PHjuHbtGjZv3lz/AVahTn+OXLx4sfqVymEYBgMGDKjLLgnRG4GVo+pRfuVcatLMF0g98A1cPvqGiiMWMzcyQ0ivmfh/kT+oCpjIJ9Fwt3LFoFZ969S3glHgzKOyuRWtjC3Q071LnfpUkkmLcfbAz5AWFaqWdfUfhmae3jrpnxBDWrJkCcRiMT755BMsWrQIffv2hUAggEgkQlhYGH788Ud88cUXCAjQz8jx2tK6MHJ1dUWTJrW/wZGNYxYQoiSwdoTL+OVI3bdENZdacUZSSXH08bfgCRveo6dvC1dLZ8ztMQWrLm9U3Qu0OzYMTSyd4e3UWut+Y1MfIjU/Q/U68D99INDRYJKXf9uP7LQXqtdNWrRG137v6aRvQgxNIBBg7dq1uHTpEg4dOoTly5dDoVDAxMQEbdu2xa5du9C1a1dDh6lB68IoKiqq+pV0uB0h9UVg7QiXCcuRsm8p5OWLo1+VxZGFgSMkleno3BYTfcZgd2wYgJKzPeuvbceq/iFwsXCsZuuKRTwqOzPO5/Ix4D99dBLrP3eu4O/b0arXQgsrBH4wQ+ejaBNiaP7+/vD31+3QFvqkkyMwLi4OBw4cwNatW3Hw4EE8fPhQF90SYjACaye4jv8WPIuyaUKKM54j9cC3kIvzDBgZqc7gVv4IaNFT9bqgWIwfojdDXCypYquKJb1ORlx62byLvZp1hbVJ3c8aZqe9xJ+nyuaB5HA4CPxgBsws6HItIYZWp3uMEhMTERISggcPHmi0eXt7Y82aNfDw8KjLLggxGIGNM1yVZ47ysgEAxelPkXrgW7h8vAw8UzpzxEYcDgdT3vkAqXnp+CczAQCQnJeG/13/BQt6f16rMzIRj9TPcAe1qvu9EMVFhTh74GfIpGVj1vgGjoJbC+0v9xFCdEfrM0ZpaWkYP348Hjx4gDZt2iAoKAhjxoxBUFAQWrdujbi4OEyYMAHp6em6jJeQeiWwcS49c1T2hFBx+lOk/vot5BI6c8RWfB4fX/eYBgdh2ft2N+1v7L93vMZ95BaKEP38pup1O0dPNLdxq1NcDMPgjxN78CozVbWsmac3OvcJqlO/hBDd0bow2rRpE2xtbREeHo7jx49j3bp1WLFiBdatW4cTJ04gPDwcNjY22LRpky7jJaTeCWxdSooj8zeKowMrIJfkV7ElMSRLEwv8X++ZMOYbq5aFP7qIS4nXarT9hSdXIFWUzfqtiwEdH978A4/ulc0faW5li/5jp4FD9xURwhpaH43R0dFYs2YNWrZsWWF7y5YtsWrVKvz5559aB0cIWwhsXeEy/lvwzG1Uy4rTniDt4HLICwsMGBmpSjNrN8zp/ik4KBtzaNudA/g380mV20nlUpxPKPvd5WTugHdc6/YIfUbyM1z+vWzAWy6Xh0EffQZTM92O0E0IqRutC6Ps7Gx4enpWuU7r1q2Rk5Oj7S4IYRUjO83iqCj1CdIOUHHEZl2bdMQ472Gq13KFHOuubkVmQXal21x/8RdeF4pUr4Na+YPL0f6sTpFEjLMHfoZCXnYGqsfgsXB2r/gPS0KI4Wh9pNva2uLx48dVrhMfHw87O7sq1yGkITGyawKXj78Bz8xatawoNQFpB1dAUW7yT8IuI9sMUhuUMbcoDz9c2YJCaaHGugzD4HR82SP6pgIT9PWoeEqDmmAYBheP7YAoJ1O1rEW7d9CxJw12SwgbaV0Y9erVCyEhIXj27FmF7U+fPsXChQvRp49uxvwghC2M7N1KzhyVL45SHiP9yEqggg9aYngcDgczu05AS9tmqmXPX7/Expt7oGAUauv+m/UET1+XDbrYz6MnTAUmWu/73tULSHz4l+q1pa0D+o2eTNMjEcJSWj+uP2vWLIwcORJBQUFo06YNWrRoAVNTU0gkEjx58gT//vsvbGxs8Pnnn+syXkJYQVkcpe5fCnlBLgCgOOUxrDI3Izn2EDg8PjhcXsm/PD6g/D+XB5RrA5cPDu/NtpJlJW2l7Vz116r/c3mAavtyfVS0j3Jt4HDfug9mI74R5veagYUXVuOVpOQ9u/nyLsIenFa71Hbmcdn0HxwOB4M8tR+YLvV5Aq6dOaJ6zePzMeijz2BsKtS6T0KIfmldGLm4uGDv3r0ICQnBw4cPNQZ1bN++PdasWQMnJ6c6B0kIGxnZu8Hl42+Rsn8pFOKS+1G4UglkObUfSNAgyhVhquKttOACr9z/ubySYozDg1mBGBlPLoDL54PDE5RuU7p9+WKQq+yjogKwfP+VF3yaBWC5/3N5WhV2tqbWmN9zBpZdWg+pXAoAOPZ3BJpaucC3SSe8lopwO6VsQuxuTXzgaKbd7QCSgjycO/gzFAq5alnvoR/BsUlzrfojhNSPOg3w6OnpiRMnTuD+/fuIi4tDXl4eLCws0KFDB3h70ySIpPEzcmgK1/HfImX/MlVx1GDIZWDkMjDSmm9iBECSWe1q9ePNM2EVFnmaZ+HMeTx8BBvsQdn8Z5uu74SxeWvczUsFw2FUy7V9RJ9RKBB5ZDvyc1+plnl27I523fpqnS4hpH5oXRht3LgRQElxFBgYiA4dOugsKEIaEiMHdzT5dDVyb51BZkoSbK2tAIUcUMjByOVg5DJAIQOjKPk/I5eXvJaXLIO8XJvytVwGvHHvC3mDQgZGIQNT/Zoa2gDwtzXDJVszAIAUDDa/foAiLgcoffrMw9IVXvbaPTV253IEnj+KU722cXBB35ET37rLl4Q0RHUqjOzt7TFt2jRdxkNIgySwdoJNwAQ8v3sXnj4+4PF4de6TYRSlxZWymFIWT28UV6o2aWlhVW69coUWoyjXh1pRVtqHskAr7Rdyudq+FDIZCvJEEJoYl/SjXE9ZACpk5Yq8km3YbEBOAdKN+PjbvGQASBFf/T3zTUzA62snYOU7FFy+UY37fZn4L2LOl42wzRcYYdDHn8PIWPsbuAlpaPr37w+RSITc3FwYGxvDwsICDMOAw+GgadOm6NmzJz744AM4ODgYOlQNWhdGPB4P+/bto7nQCNETDocL8Lgl9/KwgFwux927d9GyhoUfwzClBVTpWbNyZ8ZQWnCVFWwy9bNrqkKrrADTPNNWrq3CAlBaSUFZ9np8sQwbZHKkvvGb0EImR/vX+Xj1x6/IuxsJu/4TIfTsVu0Zn4K8XJw/tKUk91LvvjcBdk5NtPqeE9JQRUZGIiYmBsHBwQgKCsLq1asBAIWFhbh27Ro2bNiAHTt2YNmyZRg5cqSBo1WndWHk7OwMa2vrate7desWunbtqu1uCCENFIfDKXsKTmBc/QYGsqggGwsvrEZeUdn0Ln65EtUvR9nrdKQf/QGmzb1hN2ASjBzdK+xHoVDg/KEtEOflqpa17dIbbTr30mf4hDQoJiYmCAgIQM+ePTF16lQsWLAAAoEAQ4cONXRoKlqPYzRixAicOnWq2vWCg4O13QUhhOido5kd5vWcBj63pBSyNrHE4G4fgmdmpbae5FkcXv7yNbLObodcrDmB8K2Lp5Cc+K/qtZ1zU/QZPl6/wRPSQBkbG2PNmjXg8/lYsWIF8vPZM++k1meMhg8fjpUrVyIxMRGDBg2Cs7MzTEzUr6EzDKN2SpkQQtiojUMrrO6/ABF/RWJo50A0sXaBwrsvXl05itybp8vul2IUEN05i/yHV2DTZxwsOw8Eh8vD80dxuHXpd1V/AmMTDProM/AFNb83iZC3jYuLC3r16oU//vgD586dw+jRow0dEoA6FEYDBw4Eh8MBwzAICwurdD16CoMQ0hA0sXRGV+v2cLFwBABwjYWw6xcMy079kR25B+LHt1XrKgrzkX1+B0Sx52HsNwYXTh4Gyv0RGDDqU9g4ONd7DqRhYuRyFDx7DkVRUfXrMgwKCwshMzHR6+cr19gYZs2blQxzoUfe3t74448/cOfOnYZfGAEll9OqwjBMjS63EUIIWwlsXeE8diHET2KRHbkb0qyXqraijBe4fGgrChVlv0q9/fqhVYduhgiVNEAKqRRxC5cgv5q5Rw3BvFUreH+/AlyB/h4Asbe3BwBkZrJlgLQ6Fkbff/99teucPHmyLrsghBBWELbsBNPm3hD9dQ6vLh+GorAA8cXGeFWuKLK1tESPfsMNGCVpaArTM1hZFAFA/uPHKEzPgNBNf09VKhQl47VxuVrf8qxzWkeyfv36Gq23d+9ebXdBCCGswuHxYdV1CJrO3AiRe1c8lZY9bccHgw6yZKRsn4u8+5dKxqEipBomTo4wb9XK0GFUyLxVK5g4Oep1H1lZWQDAqvGMtD5jFBQUBACIi4vDqVOn8M8//6imBGnTpg1GjhyJdu3aoVs3OqVMCGlc8gsLcTMxSW1ZRxMJhFwG8oLXyPx9I0S3z8Ju4GSYNPE0UJSkIeAKBOiwZmWt7zEyaST3GN27dw8A0KVLF73upzbqdClt1apV2Ldvn8aTZ3fu3MGBAwcwceJEhISE1ClAQghhE7lMirMHNqO4sGyy4PbtOqDJ60eQ5ZbNv1aUmoCU3Qth3r4PbP3Hg2+p3WS0pPHj8Hgwb9miRusyDAO+WAyhUNjgH2568eIFrl+/DltbWwwYMMDQ4ahoXRjt3r0be/fuRfv27TF48GB4eHjA1NQUEokEiYmJiIiIwO7du+Hq6ooJEyboMmZCCDGYK6cPITP5meq1S/NW6P3hbHAUcuTG/I7X146DkZb95Z//4DIK4m/CuucoWPkOq9X0IoQ0VhKJBCEhIVAoFFi6dCnMzMwMHZKK1oXRwYMHMX78eCxevFijLSAgAFOmTMGKFSuwf/9+KowIIY3C4/sxiLsRpXptYmaOgR/MBI/HB3h82PQaA4sO/si5tB/5Dy6r1mOkhXj1xwHkxZZOL+Ll2+D/2idEG4WFhbhy5Qp++uknJCUlYfXq1Rg8eLChw1KjdWGUkpKCzz77rMp1Pv/88yrHOCKEkIbiVWYqoo7tLlvA4SBw7HSYW9morce3tIPje1/AsvMgZJ/fiaLUBFWbLDcD6cf+C5Nm7WE34FMYOzWvn+AJqWfKSWQBICIiAtHR0apBn5s1a4YBAwY0vklkbW1tYWxc9fxHxsbGqjEKCCGkoZIWF+HsgZ8hLS5ULevqPwzunu0r3cbEzQuun36P/Lg/kRO1H/KC16q2wucPkLxjPiw7DYDNux+AJ7TUZ/iE1LvIyEhDh6A1rR/X79+/f7VjFJ04cQLDh6uP6dGvX78a7+P27duYMGEC/Pz80LNnT3z99ddIS0urVZwikQgLFiyAl5cXYmJiarUtIYQAwOXf9iM7rWxgR7eWbdG133vVbsfhcGHRwR9NZ26Eld8IgFfub1FGAdFf5/Bi8yzk3joNRi7TQ+SEkNrSujB6//33cejQISxcuBCXL19GQkICUlJSkJCQgMuXL2PBggW4dOkSRo4ciZSUFKSkpCA5ORkpKSk16v/GjRuYOHEiOnXqhOjoaJw5cwa5ubkYO3ZsjUfIvHz5MoYNG0YFESFEa3/fjsY/d66oXgstrBE4blqtBqTjGpvCLmACmk77H4SeXdXaFIUFyD6/Ey9/+RrixLu6CpsQoiWtL6WNGDECHA4Hjx8/rvDMkfIR/kGDBtW6b5lMhiVLlsDd3R1ffvkluFwuLC0tsXLlSvj7+2P9+vXVjrqdkJCAb775Bt9//z3u3LmDjRs31joOQsjbLSvtBS7/tl/1msPlYuCHMyC0sNKqP4GtC5zfXwBx4j1kX9ipNr2INOsl0g6ugLBVV9j1nwiBrUud4yeE1J5e50p7U03nTouJiUFSUhJmzJih9leZk5MTfHx8cPr0aSxevLjKx/ucnJzw22+/wdzcHHfu3KlVnIQQUlwkwdkDP0MmLVYt6x44Ck08vOrct7BFR5hOXQ/RHeX0IvmqNvHjWxA/iYWV71DY9BwNrrGwzvsjhNSc3udKe1NN5k67efMmAMDLS/MXUOvWrXHnzh3cu3cPPXr0qLQPCwuLWsdGCCFAyR9xl47vwevMsnsam3l1xDu9dfdYMYfLg1XXIJi3641Xlw9B9Nd5QDmNiEKG3OsnkX//D9j6fwzzDn3B4bBnLilCGjOtjzRtiqKabvf06VMAgKOj5hwtymXPnj3Tav+EEFKdBzGX8Ph+2b2JFtZ26P/+FHD0MNElT2gB+0FT4TZlLUyae6u1yQteIzN8E5J3LkDhy391vm9CiCatzxiNHDlSb9vl55ecVjYxMdFoUy7Ly8vTav+6IJfLIZfLdd5n+X8bm8aeH9D4c3xb8kt7kYjo8IOq5VweDwPGTYeRialec+fZucFx3GJIHt3Cq6i9atOLFKc9QcqeRRC27QWbvh9rPb3I2/IeGiI/uVyuGqfnzWmydEnZtz73YUja5Kf8nlf1vtfmZ6JOl9LeVo8ePdJb33FxcXrrmw0ae35A48+xMecnKy5CxP6NUJR7dN69fQ+kZouQmn23nqIwArp9ApNnN2GSeBUcuVTVIv77CgriY1Do4YdCD1+AJ9BqD435PQQMlx+fz4dEIqnVE4vakkgk1a/UgNUmP4VCAalUqrP3nZWFkbm5OYCSocPfpFxmyHuIPD09IRTq9oZIuVyOuLg4eHt7g6fn2YwNobHnBzT+HBt7fjKZDEe3/YCiApFqWYt2nRE4Jtgw03d07gJZ3gd4/ecBFJSbXoQjl8I04TLMM/6BTcCEWk0v0tjfQ0PmJ5fLkZCQAFNTU73um2EYSCQSmJqaNsppZbTJTy6XQyAQoE2bNpV+78VicY1ParCyMPLw8AAAZGRkaLQplzVv3rw+Q1LD4/H09oOvz77ZoLHnBzT+HBtrfveunserlETVaytbR/QbMwl8vuF+TfKsHeD03hco7DK4ZHqRlMeqNrkoE1kn18PEvR3sAifVanqRxvoeKhkqPw6Ho/qqr301VrXJT7luVe97bX4eWPmYQ7du3QAA8fHxGm3x8fEwNjZGx44d6zssQkgjJSnIx43zx1SveXw+Bn38OYxN2PGovEkTT7h+sgoOw2eDZ64+N1th0kMk75iPzIitkBfkGihCQhoPVhZGvr6+cHd3x/nz56FQKFTL09PTERsbiyFDhqiNYZSRkQGZjIbTJ4RoR5yfC0W5mzP7DBsPB1d3A0akicPhwsK7L5rO2ADrHqM0phfJiz1fMr3IzXCaXoSQOmDlpTQ+n4/ly5djypQpCA0NxZw5cyAWi7Fo0SLY29tj7ty5qnUjIiIwd+5c+Pv7Y8uWLQaMmhDSUNk6uqJTn8H4N/YGOvoFoG3XPoYOqVJcY1PY+n8MC59+yL64F+L4smEFFEViZF/YBdFf52E34FMIW3YyYKTkbda/f3+IRCLk5ubC2Ni4wvuCpVIpzM3NERUVZYAIK8fKwggA/Pz8sGfPHoSGhqJXr17gcDjo3r07Dh8+rDa+kY2NDczNzeHiojl8/oQJE5CYmAixWAwAmD17NgQCAUaPHo2vvvqq3nIhhLAbh8NB98DRMHFsCR8fnwZx74bAxhnOY/4Pkqf3kXVhF6SZSao2aXYy0g59B+F/OsO2/ycwsnM1YKTkbRQZGYmYmBgEBwcjKCgIq1ev1lgnJiYGCxcuNEB0VWNtYQQAXbp0wb59+6pcx8/Pr9IpP6rblhBCGjpTjw5wm7IWor8u4NXlg1BIyk0vknAH4sR7sOoaBJteYwCB5thwhBB1rC6MCCGEVI/D5cGqyyCYt+uJV5ePQHTnrPr0IjG/If/Bn7Dq8yHAWBs0VkKUunXrhgsXLhg6DA2svPmaEEJI7fFMLWA/cDLcpq6DqUcHtTZ5QS5yzmyBxfXdKHxB04sQw/Ly8kJycjIrh42gM0aEENLIGDm4w/nDpRA/uoXsyN2QvU5XtfFFaUj/dSnM2vaEXcAE8K0cDBgpAQCFgkF6igjS4uqnrWDAoLCwECYmheBAf/fCCYx4cHK1BJfL/vvtdI0KI0IIaYQ4HA7MvLpB2LITcm+G49XVo2CKy2YTKPj7KsSPbsHabySs/N4DV2BswGjfXnKZArs2XUNK0mtDh6LB1d0an37eAzx+3S4uRUREIDo6WkdR6R8VRoQQ0ohx+AJY9xgJc+++yL60HwVxf6jaGFkxXkUfhujeRdj1C4ZZmx4N4om8xuRVjpiVRREApCS9xqscMewdzevUT0VPpXl5edWpT32ie4wIIeQtwLewgf2QzyDy+wRGrq3U2uSiLGScWI/UfUtQlJZYSQ9EH2xshXB1tzZ0GBVydbeGjS07Rn+vT3TGiBBC3iJyK1c4T1gByb/XkXNxH+T5Oaq2whf/IHnH/8HCpx9s+34EnpmVASN9O/D4XEya3VOLe4xMGvQ9RhVN+cUWVBgRQshbhsPhwqJ9H5h5dsXrayeQe+M3MHJpaSuDvLuRyP/nGmx6vw+rLoPB4QkMGm9jx+Vy4OJWsyKUYRiIxWIIhUK67KkndCmNEELeUlwjU9j2/QhuM0Jh1rq7WhtTJEZO5B683PYVxAkVD6JLSF0kJyejbdu2hg5DAxVGhBDylhNYO8Fp9Hy4fPwNjBzVJ8+V5qQg7fAqpB76DsVZLw0UIWmMGIaBXF795cP6RpfSCCGEAABMm3ujyeS1yIuNRM6fB6GQ5KnaJE9i8fLpfVh1GQzr3mPBMzEzYKSE7Xx9fVFQUAAAOHXqFE6fPq2xDsMw9R1WjVBhRAghRIXD5cGy80CYte2JV9FHILp9ptz0InLk3gxH3oPLsO37ESw6BoDDZd/IxcTwYmJiDB2C1uhSGiGEEA08U3PYB06C29T1MG3RUa1NIRYhK2ILkneGQJL00EAREqIfVBgRQgiplJFDUzh/sARO7y8A38ZZra04/SlS9y1F+vF1kOZmGChCQnSLLqURQgipEofDgZlnVwhb+CD31mm8unIUTLFE1V7wzzWIH9+GVff3YO03AlwjEwNGS0jd0BkjQgghNcLhC2DtNwJNZ26ARccAoNwAg4ysGK+vhOHFljnIfxjN2htrCakOFUaEEEJqhW9uA4ehn6PJp6th7KY+55U8LxsZJ/+HlL2LUZT6xEAREqI9KowIIYRoxdj1P3ANXgnHEV+CZ2Gr1lb08l8k7wxBZvjPkOW/NkyAhGiBCiNCCCFa43A4MG/XG01nbIB1rzHg8I3KtTLIu3cRLzbPwusbp8pNO0IIe1FhRAghpM64RiawffdDuE0PhVkbP7U2pliCnIt78XLbXBQ8vk33HxFWo8KIEEKIzgisHeE0ah5cxi+HkWNztTZpTirSj3yPNJpehLAYFUaEEEJ0zrRZOzSZ/APsB08HV2ip1iZJvIuX2+Yi6/xOyCX5BoqQkIpRYUQIIUQvOFweLN8JRNOZG2HVbShQfvoQRgHRrdN4sWU2RH+dB6Ng32Si5O1EhREhhBC94pmYwW7Ap6XTi3RSa1OIRcg6sxXJO+ZD8vyBgSIkpAyNfE0IIaReGNm7wfmDRZAk/IXsyF2Q5qSq2oozniN1/zKYtfaDbb9gCKwdDRgpqav+/ftDJBIhNzcXxsbGsLCw0FhHLpfj1atXiI+PN0CElaPCiBBCSL3hcDgQtuoM0xYdkHvrDF5dCQNTJFa1F/x7vWx6kR4jaXqRBioyMhIxMTEIDg5GUFAQVq9erbHOy5cv0a9fPwNEVzW6lEYIIaTecXgCWHcfjqYzNsDCpz/UpheRS/H66lG82DIbeQ8u0+P9pF5RYUQIIcRg+ObWcBgyE00m/QCTpm3U2uR5Ocg8FYqUPYtQlJJgoAiJvri5ueHhw4eGDkMDFUaEEEIMztilBVwmrIDjyK/As7RXaytKjkfyrhBk/L4JsvxXBoqQ6FJAQABiYmLA57Pvjh72RUQIIeStxOFwYN62J4StuuD19ZPIvX4SjKxY1Z5/PwoF/16DTa/3YdV1CDh8gQGj1R2FQoGs1CTIpMXVrsswDIoKi2BsYgwOh1Pt+triC4xg7+IOLvftO39ChREhhBBW4QqMYdtnHCw7BiA7ah8K/r6qamOKC5ETtQ+i2Auw6/8JhK266LVA0De5TIbjW79H+stEQ4eiwcmtBUZNXwheHc/qREREIDo6Wm1ZTk5OnfrUJyqMCCGEsBLfygFOI7+CpPMgZJ/fieL0p6o22as0pIethqlHR9gN+BRGDk0NGKn2RK8yWVkUAUD6y0SIXmXCxsGlTv1U9FRaQEBAnfrUp7fvHBkhhJAGxdS9LZpMWgP7oJma04s8vYeX279C1rkdDXJ6EUsbBzi5tTB0GBVycmsBSxsHQ4dR7+iMESGEENbjcHmw7NQf5m388OrKUeTeOg0opxFhFBDdjkD+g8swbtETTIcOAI9XdYcswePzMXrmorfuHqOoqCi99KsLVBgRQghpMLgmZrDrPxEWnfojJ3IPxAl3VG2KwnwI/z6HV2Z8OAROMmCUtcPlcuHYpHmN1mUYBmKxGEKhsEHfW8VmdCmNEEJIg2Nk1wTO4/4fnMctgsDOVa1NknjXMEGRRoHOGBFCCGmwhP95B6Ye3si9fRavr4RBXiSBZedBhg6LNGBUGBFCCGnQODwBrH2HwfydQbh35yaav9Pd0CG99ZSTyAJlj+t36dIFoaGhBo6selQYEUIIaRQ4XC4goEln2SAyMtLQIWiN1YXR7du3ERoaioSEBHC5XHTv3h3z58+Hs7NzjbZXKBTYuXMnwsLCIBKJYGlpiTFjxmDy5Mlv5WiehBBCCKkaa6uDGzduYOLEiejUqROio6Nx5swZ5ObmYuzYscjMzKxRH4sXL8aWLVuwevVqXL9+HWvWrMG2bduwePFiPUdPCCGEkIaIlYWRTCbDkiVL4O7uji+//BJ8Ph+WlpZYuXIlsrKysH79+mr7iImJwbFjxzB16lR06tQJAODj44Np06bh2LFjuHXrlr7TIIQQQkgDw8rCKCYmBklJSQgMDFS75OXk5AQfHx+cPn0aBQUFVfZx5MgRAMDAgQPVlitfHz58WMdRE0IIIaShY2VhdPPmTQCAl5eXRlvr1q1RVFSEe/fuVduHiYkJmjVrprbc3d0dQqFQtQ9CCCGEECVWFkZPn5ZMFOjo6KjRplz27NmzSrcXi8XIyMiAg4NDhSODOjo6Ij09HRKJRDcBE0IIIaRRYOVTafn5JRMBmphoPnapXJaXl1fp9so2U1PTCtvL91HZOlWRy+WQy+W13q66Psv/29g09vyAxp8j5dfwNfYcDZmfQqEAwzCqL31R9q3PfRiSNvkpv+cKhaLSdWrzM8HKwojtHj16pLe+4+Li9NY3GzT2/IDGnyPl1/A19hwNlR+Px0NeXh6MjIz0vq/GfsWjNvkVFxejuLgY9+/f18m+WVkYmZubAwAKCws12pTLLCwsKt1e2VbZN7YmfVTF09MTQqFQq20rI5fLERcXB29vb/AayKzQtdHY8wMaf46UX8PX2HM0dH4pKSkoLi6GtbW13vbBMAwkEglMTU0b5SSy2uQnFothZWUFd3f3Ktep6UkNVhZGHh4eAICMjAyNNuWy5s2bV7q9UCiEo6MjsrKywDCMxjc3IyMDTk5OWl1GA0r+KtDXQafPvtmgsecHNP4cKb+Gr7HnaKj87O3tkZSUBACwsrKCQCDQ+T6Ul4wUCkWjLYxqk59YLEZOTg6aNm1a5Xtem58HVhZG3bp1w5YtWxAfH4+goCC1tvj4eBgbG6Njx47V9hEeHo7nz5+rFVEvXryAWCxGv3799BE6IYSQt5SpqSnc3d2RnZ2NZ8+e6eU+IIZhIJVKIRAIGm1hVJv8+Hw+HBwcdHoVh5WFka+vL9zd3XH+/Hl88cUXqrGM0tPTERsbi/feew9mZmaq9TMyMmBraws+vyydsWPHIjw8HOfOncP06dNVy8+ePatqJ4QQQnTJ1NQUbm5uersRW3m5sE2bNo3yrF9t8uNwOKovXWLl4/p8Ph/Lly9HUlISQkNDIZfLkZeXh0WLFsHe3h5z585VrRsREYHevXtj1qxZan34+vpi9OjR2L59O2JjYwEA9+7dw7Zt2zB69Gh069atXnMihBDy9uBwOOByuarLerr8AqCXftnyVdP8uFyuXs6asfKMEQD4+flhz549CA0NRa9evcDhcNC9e3ccPnxYbXwjGxsbmJubw8XFRaOPFStWwMPDAyEhIcjLy4O5uTmmTp2KyZMn12cqhBBCCGkgWFsYAUCXLl2wb9++Ktfx8/PDnTt3Kmzj8XiYOnUqpk6dqo/wCCGEENLIsPJSGiGEEEKIIVBhRAghhBBSigojQgghhJBSrL7HiG2U87DoYyh25TwuYrG40T6CCTTe/IDGnyPl1/A19hwbe35A489RX/kpP7ermk9NicM01pno9EA5aBchhBBCGp7mzZvDzs6uynWoMKoFmUyG3NxcGBsbqwadJIQQQgi7KRQKFBUVwcrKSm0w6IpQYUQIIYQQUopOexBCCCGElKLCiBBCCCGkFBVGhBBCCCGlqDAihBBCCClFhREhhBBCSCkqjAghhBBCSlFhRAghhBBSigojQgghhJBSVBgRQgghhJSiSWT17Pbt2wgNDUVCQgK4XC66d++O+fPnw9nZuUbbKxQK7Ny5E2FhYRCJRLC0tMSYMWMwefJkVkxLUpf8YmJiMHnyZFhZWWm0tWjRAvv27dNHyLV2/PhxrFq1Cv3798fq1atrtW1RURE2btyI8PBwFBYWwt7eHsHBwXj//ff1FK12tM3x+PHj+Oabb2BhYaHR1qNHD/z3v//VZZi1kp+fj5MnTyI8PBxPnz6FTCaDvb09BgwYgBkzZsDc3LxG/YhEIqxbtw5RUVGQyWRwc3PD9OnT0b9/fz1nUD1d5Lhhwwbs3LkTQqFQo2306NH46quv9BF6jeTn5yMiIgKXLl1CQkIC8vPzYWxsjA4dOmDmzJlo06ZNjfph63Goi/zYfAxWRC6XY+zYsXjw4AH27t0LX1/fGm1Xr5+FDNGb69evM23btmXWrVvHSKVSJjc3l5k8eTLTu3dvJiMjo0Z9LFy4kOncuTPz119/MQzDMLGxsUyXLl2YhQsX6jP0Gqlrfjdu3GDGjx9fD5FqJz09nZk+fTrj7+/PeHp6MiEhIbXaXiaTMZMmTWLeffdd5smTJwzDMMzFixeZdu3aMRs3btRHyLVW1xyPHTtW623qy5QpU5h27doxp0+fZmQyGSOTyZizZ88yHTt2ZIYOHcoUFBRU20dBQQEzbNgwZvjw4UxaWhrDMAxz6NAhxtPTkzlx4oSeM6ieLnL86aefmJ9++qkeoq29GzduMJ6ensyyZcuYvLw8hmEYJjExkRk6dCjTrl07JjY2tto+2Hwc6iI/Nh+DFdm2bRvj6enJeHp6Mjdu3KjxdvX5WWj4Uw6NlEwmw5IlS+Du7o4vv/wSfD4flpaWWLlyJbKysrB+/fpq+4iJicGxY8cwdepUdOrUCQDg4+ODadOm4dixY7h165a+06iULvJjuy+++AKtW7fGjh07tNr+1KlTuHLlCubNm4cWLVoAAAICAjBmzBj8/PPPSEpK0mW4WqlrjmymUCjw0UcfISgoCDweDzweDwMHDsSECRPw6NEjHDlypNo+duzYgfj4eHzzzTdwcnICAIwbNw59+vTBqlWrIBKJ9J1GlXSRI9s5ODhg6dKlqrNfHh4emD9/PqRSKfbv31/t9mw/DuuaX0Py9OlTbNmyBYGBgbXarr4/C6kw0pOYmBgkJSUhMDBQ7TSfk5MTfHx8cPr0aRQUFFTZh/KX2sCBA9WWK18fPnxYx1HXnC7yY7v169fjyy+/hEAg0Gr7I0eOgM/no1+/fmrLBw4cCJlMhmPHjukizDqpa45sNmzYMIwaNUpjuY+PDwAgLi6uyu0ZhkFYWBgcHR1Vv4yVAgMDkZubi3PnzuksXm3UNUe2a9u2LXbu3KlxqcTFxQVAyaWo6rD5ONRFfg0FwzBYvHgxJk6cCE9Pz1ptW9+fhVQY6cnNmzcBAF5eXhptrVu3RlFREe7du1dtHyYmJmjWrJnacnd3dwiFQtU+DEEX+bGd8peTNoqKinD//n24u7vD1NRUrU35PTPk+6dUlxzZbsSIEWjdurXGcplMBgAV3ttW3vPnz5Genl7pzzhQ8geCIdU1R7azsLCo8EP04cOHAIBu3bpVuT3bj8O65teQHDhwALm5uZgxY0att63vz0K6+VpPnj59CgBwdHTUaFMue/bsGXr06FHh9mKxGBkZGWjatCk4HE6FfTx79gwSiUTjgK8Pdc1PKTs7GwsWLEBsbCxyc3Ph4uKCwMBATJo0CcbGxroPvJ4kJSVBLpdX+P2xtbWFQCDA8+fPDRCZ7j1//hxz5szB33//jfz8fDRr1gzDhw/Hhx9+yIoHBN6kLNjf/OvzTc+ePQNQ9c84W9/Dmuao9ODBA0yZMgWJiYkoLCxEy5YtMW7cOAwdOlSfYdaaWCzGtWvX8N///heBgYEYP358les3tOOwtvkpsf0YTE5Oxo8//ogdO3bAyMioVtsa4rOQCiM9UZ4CNTEx0WhTLsvLy6t0e2VbZW90+T4MURjVNT+lrKws+Pv7Y8WKFSguLsa5c+ewfPly/PHHH9izZ0+F/TcENXn/DH1/iq6kpaVh9uzZ6N69O/Ly8hAWFoaVK1fi2rVr2LBhAyt+MSvl5eXh1KlT8Pf3r/ZpmKreQ+UyNr6HtclRKTU1Fd999x06dOiArKws7NixA19//TXu3r2LxYsX6znimpk3bx7OnDkDhmEQHByMWbNmVfsh25COQ23yU2L7Mbh06VKMGjUKHTt2rPW2hvgsZM9vLPLW6dSpEyIjIzFw4EAIBAKYmZlh1KhRmDp1Ku7evcuax/VJ5QYPHozw8HD06NEDXC4XVlZWmDJlCkaMGIHIyEicPXvW0CGq+f7772FsbIyVK1caOhS9qW2On376KY4cOYIOHToAAOzt7RESEoLu3btj3759rLkkvnbtWty9exdHjhzB/fv3MWTIENbEpgva5sf2Y/D48eN4/vw55s6da9A4aoMKIz1RPmFQWFio0aZcVtG4E0rKNolEUmF7TfrQp7rmBwBGRkawtLTUWK4cHyYqKqquYRpMTd6/inJvaExNTWFmZqaxnI3v4fbt23Hx4kVs374ddnZ21a5f1XuoXMa297C2OQIlx3JFZ2bZ+B4KBAK0b98emzZtgkQiwdy5c1FcXFzp+g3tOKxtfgC7j8HMzEysWbMGK1as0PpsjiE+C+lSmp54eHgAADIyMjTalMuaN29e6fZCoRCOjo7IysoCwzAa11YzMjLg5ORkkMtoQN3zq4qDgwMAICcnR7vgWMDd3R08Hq/C709OTg6kUqnGjYSNCdvew4MHD2L79u3YtWsXWrZsWaNtlD+/Vf2Ms+k91CbHqrDtPSzPxsYG3t7euHLlCh49eoT27dtXuF5DPQ5rml9V2PD+Xb9+HcXFxZg3b57acrFYDACYPXs2BAIBWrVqhd27d1fYhyE+C+mMkZ4onyaIj4/XaIuPj4exsXG111u7desGiUSicXPgixcvIBaLDfrEgi7y2717d4UHbVZWFoCSXw4NlXL02qSkJI2/dJTfs8bwxMmGDRsglUo1lrPpPTx69CjWr1+PX375Be3atQNQco9cYmJilds1a9YMTk5Olf6MA6jxPTz6pm2OIpEIv/zyS4VtyvfQ1tZWt8HWwvnz5yu9nKR8OOP169eVbs/247Cu+QHsPgaHDx+O2NhYXL16Ve1r0qRJAEpiv3r1aqVFkVJ9fxZSYaQnvr6+cHd3x/nz56FQKFTL09PTERsbiyFDhqid/szIyFA9Yqs0duxYANAYK0V5zVjZbgi6yG/v3r0VDsylPPX77rvv6il63UtLSwPDMGrLxo4dC5lMhosXL6otP3fuHPh8foXjz7BZRTlu3LixwsKBLe/hqVOnsHr1amzfvl11Dw1Q8jj0smXLVK8VCgXS0tLUtuVwOHj//feRkZGB2NhYtbZz587B0tKyxk996VNdchSJRFi7dm2Ff6Ao38M+ffroKfLqRUVF4cSJExrLxWIx7t+/Dx6PpzZcQUM7DnWRH9uPwdpiw2chFUZ6wufzsXz5ciQlJSE0NBRyuRx5eXlYtGgR7O3t1W5Ei4iIQO/evTFr1iy1Pnx9fTF69Ghs375d9Yv53r172LZtG0aPHm3Qv3R0kR8A/PDDD4iNjQXDMCguLkZ4eDi2bt2K1q1bIzg4uD5T0tr27dvx7rvv4rvvvlNb/t5776Fnz55Yt26d6i/3S5cu4ejRo/jss89YeQq/MpXlCJQ8cfL48WMAJdf79+7di+PHj6NXr14YMmRIfYeqEhERgYULF8LHxwfR0dHYsGGD6uvND6Ply5fj3Xffxc6dO9WWT548GV5eXvj2229Vl2MOHz6My5cvY9GiRQa/P0UXOTIMg/nz5yM5ORlAyZmmH3/8EVevXsWYMWPQuXPnesunImFhYThy5IjqXpvU1FR8/fXXyMzMxIwZM2Bvbw+g4R6Hdc0PYO8xWFts+Syke4z0yM/PD3v27EFoaCh69eoFDoeD7t274/Dhw2rjatjY2MDc3LzCwfZWrFgBDw8PhISEIC8vD+bm5pg6dSomT55cn6lUqK75hYaG4tSpU1i6dClycnIgkUjg7OyMiRMnYurUqRXeUFifDhw4gE2bNkEulwMoOWijo6NhamqKyMhI1XoODg4QCoWqKSOUeDweNm/ejA0bNmDSpEkoKiqCnZ0dli1bZvDJK5XqmuOePXvw+++/Y86cORCJRBCLxWjWrBm++uorBAcHg8fj1Ws+5W3duhVyuRzR0dGIjo7WaC//y9TJyQlCoVB1X4aSUCjEvn37sG7dOowaNQpyuRyurq7YtGkTKyaRrWuOLi4u2Lx5M8LDw/Hpp58iPz8fhYWFaNWqFb777juMGTOmXvKozJw5c9C8eXMcPXoUGzZsUBUP7dq1w08//aR2xq4hHoe6yI/Nx+Cbli5diosXL2rcYzR//nyMGDGCNZ+FHObN83KEEEIIIW8pupRGCCGEEFKKCiNCCCGEkFJUGBFCCCGElKLCiBBCCCGkFBVGhBBCCCGlqDAihBBCCClFhREhhBBCSCkqjAghhBBCSlFhRAghhBBSigojQkiD5u3tDS8vL3h5eWHDhg2GDkdl0aJFqrgCAgIMHQ4hpIaoMCKENGhxcXHYu3evocPQsHLlSsTHx6NJkyaGDoUQUgtUGBFCCCGElKLCiBBCCCGkFBVGhBDWOnnyJMaNG4dOnTqhS5cuGDZsGJYsWYI7d+5Uus2ff/6JUaNGwdvbG7169cL69euhUChU7cePH1fd++Pl5aW27dChQyu8X+nu3btq29y4cQM7d+5Ev3790L59ewwaNAjh4eE1yikmJkatL7bdG0XI244KI0IIKy1fvhwhISHo27cvLl26hKioKEyfPh3h4eGYPn16hdvcvn0bJ0+eRGhoKP78808MGzYMW7duxa5du1TrjBo1CvHx8ejWrZvG9uHh4RXer+Tj44P4+HjMmjULALB9+3ZIpVKEhYXhzJkzcHBwwLx583D//v1q8/L19cWBAwdgb2+PXbt2IT4+HrNnz67pt4UQomdUGBFCWCcqKgq//vorhg4dipkzZ8La2hqWlpYYOnSoqjipSHx8PNasWYOmTZvC1tYW8+bNg4WFBX777TedxicQCDB9+nTY2tqiadOmmD9/PhiGwe+//17ttjdv3sScOXOwbt069OjRQ6dxEULqjm/oAAgh5E0HDx4EUHJp602DBw9Gampqhdv17t0bRkZGqtc8Hg/u7u5ITEzUaXz9+vVTe92iRQsAwPPnz6vc7vr16/j6668RGhqKrl276jQmQohu0BkjQgjrxMXFAQA8PDw02lxdXbF48eIKt3N0dNRYJhQKIZFIdBrfm/sxMzMDgCr3c/XqVcyYMQOWlpbo0KGDTuMhhOgOFUaEENbJy8sDAJiamtZqOxMTE41lHA5HJzFVtZ/q9pGTk4P58+ejS5cuePr0Kf73v//pPCZCiG5QYUQIYR0LCwsAVZ+B0ZfCwkKd96lQKLBp0yaEhoaiSZMm2L17N/766y+d74cQUndUGBFCWEd5qamie4PS09Oxe/duZGdn12kfyrM+YrFYo39ds7e3R6dOnWBubo5Vq1aBYRgsWLDAIIUfIaRqVBgRQljnww8/BACcPn1ao+3QoUPYtm0brKys6rSPZs2aAQCePn2qtvzChQt16rc63bt3x4QJE/D8+XOsXbtWr/sihNQeFUaEENbx9/fH+PHjER4ejs2bNyM3NxcikQhhYWHYvn07Fi1aBD6/bg/VDhs2DBwOB2vXrkVycjJycnKwZcsWtcEg9WXevHlo0aIFfv31V1y/fl3v+yOE1ByHYRjG0EEQQkhFTp48iYMHDyI+Ph5GRkbw9PTEtGnT0KdPH9U6AQEBSE5OVtvu4sWLuHnzJhYuXKi2fOTIkVi9erXq9W+//Yaff/4ZL1++hJOTEyZMmIA2bdogODhYtc7Ro0dhY2Oj8Yh+kyZNEBUVhQULFuDEiRNqbd9//z2Sk5OxceNGteWzZs3C7NmzNUbcVsbs5uZWw+8MIURfqDAihBBCCClFl9IIIYQQQkpRYUQIIYQQUooKI0IIIYSQUlQYEUIIIYSUosKIEEIIIaQUFUaEEEIIIaWoMCKEEEIIKUWFESGEEEJIKSqMCCGEEEJKUWFECCGEEFKKCiNCCCGEkFJUGBFCCCGElPr/DIRcYUUKt3wAAAAASUVORK5CYII=","text/plain":["
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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# (a) Passing in the filename\n","analyzer = TemporalAnalyzer(filenames=data_fname)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," # We don't need to pass in the data frame anymore\n"," # dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )\n","\n","# (b) Passing in the data frame\n","analyzer = TemporalAnalyzer(dfs=df)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," # We don't need to pass in the data frame anymore\n"," # dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )\n"]},{"cell_type":"markdown","metadata":{"id":"VRQKHXmISDOf"},"source":["As expected, we get the same results as before."]},{"cell_type":"markdown","metadata":{"id":"eTS_ryshSDOf"},"source":["### Data Directory\n","\n","Let's say we have a directory of transcripts and we want to analyze all of them.\n","We can do this by passing the directory path into the `TemporalAnalyzer` constructor, and then analyzing the data:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":322,"status":"ok","timestamp":1703932992582,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"vefz2VtjSDOf","outputId":"56ffa367-1283-413f-d87b-924efa365e28"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4244.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 27052 (26K) [text/plain]\n","Saving to: ‘sample_data_colab/4244.csv’\n","\n","\r sample_da 0%[ ] 0 --.-KB/s \rsample_data_colab/4 100%[===================>] 26.42K --.-KB/s in 0.002s \n","\n","2023-12-30 10:43:12 (15.8 MB/s) - ‘sample_data_colab/4244.csv’ saved [27052/27052]\n","\n","--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4245.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 30713 (30K) [text/plain]\n","Saving to: ‘sample_data_colab/4245.csv’\n","\n","sample_data_colab/4 100%[===================>] 29.99K --.-KB/s in 0.003s \n","\n","2023-12-30 10:43:12 (11.1 MB/s) - ‘sample_data_colab/4245.csv’ saved [30713/30713]\n","\n","--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4246.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 14760 (14K) [text/plain]\n","Saving to: ‘sample_data_colab/4246.csv’\n","\n","sample_data_colab/4 100%[===================>] 14.41K --.-KB/s in 0s \n","\n","2023-12-30 10:43:12 (65.8 MB/s) - ‘sample_data_colab/4246.csv’ saved [14760/14760]\n","\n"]}],"source":["# Let's first prepare the data directory\n","DATA_DIR = \"sample_data_colab\"\n","!mkdir -p $DATA_DIR\n","\n","# Let's download the data and save it to the data directory. We'll use three transcripts as examples.\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4244.csv -O $DATA_DIR/4244.csv\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4245.csv -O $DATA_DIR/4245.csv\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4246.csv -O $DATA_DIR/4246.csv\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1444,"status":"ok","timestamp":1703932994024,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"k-2FJs7JSDOf","outputId":"d46b95b7-04ec-4204-fe4c-8893ab463d93"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAG7CAYAAAAmOVo2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACeDklEQVR4nOzdd3yV5f3/8dd932dnh5AQwgYZylKpiGjrnnWgFa1V9FfUOnBgRUXBIg7qbKnYOloX/bZaq2grWnG1roqjqKgQ9h6B7OTs+75/f9znnJyTnZN9+Dwfxpxzr3NdIcl551q3YpqmiRBCCCGEQO3uAgghhBBC9BQSjIQQQgghIiQYCSGEEEJESDASQgghhIiQYCSEEEIIESHBSAghhBAiQoKREEIIIUSErbsL0JuEw2EqKytxOp2oqmRKIYQQojcwDINAIEBWVhY2W/PRR4JRG1RWVrJly5buLoYQQgghkjBkyBD69OnT7DESjNrA6XQC1hfW7XZ36LV1XWfdunWMHDkSTdM69No9QarXD1K/jlK/3i/V65jq9YPUr2Nn1c/n87Fly5bY+3hzJBi1QbT7zO124/F4OvTauq4D4PF4UvabHVK3fpD6dZT69X6pXsdUrx+kfh07u36tGQYjA2WEEEIIISIkGAkhhBBCREgwEkIIIYSIkGAkhBBCCBEhwUgIIYQQIqLHB6NXXnmFSZMmcdttt7X53EAgwMMPP8xxxx3HlClTOPPMM3nppZc6oZRCCCGESAU9drp+SUkJd955J+vWraO6urrN5+u6zjXXXMPGjRt5+umnGTZsGO+99x7XX389JSUlXHvttZ1QaiGEEEL0Zj22xeiGG25g9OjR/OlPf0rq/Ndee42PPvqIm2++mWHDhgFw/PHH85Of/ITf//73bNu2rSOLK4QQQogU0GOD0SOPPMKNN96I3W5P6vy//e1v2Gw2TjjhhITtp5xyCuFwmJdffrkjiimEEEKIFNJjg1FhYWHS5wYCAb755hsGDRrU4NYdo0aNAuCzzz5rV/mEEEIIkXp67Bij9ti2bRu6rpOfn99gX25uLna7na1btyZ9fV3XY8uWd5To9Tr6uj1FqtcPUr+OUr/eL9XrmOr1g9SvY2fVry3XS8lgFB2s3dSNXl0uF1VVVUlff926dUmf25LVq1d32rV7glSvH6R+HaV+vV+q1zHV6wepX8furF9KBqPONnLkyE65iezq1asZN25cyt4YMJXrB6lfR6lf75fqdUz1+kHq17Gz6uf1elvdqJGSwSgjIwMAn8/X6H6/309mZmbS19c0rdO+ITvz2j1BqtcPUr+OUr/eL9XrmOr1g9SvY0fXry3XSslgNGjQIDRNo6SkpMG+srIyQqEQgwcP7oaSNc00TXaWBvFsK8ftsuOw23DaVWya9aFpCnZNRdN67Hh5IYQQotdLyWDkdDoZP348q1evxufzJYw1Ki4uBuCII47oruI1yjDBFzDwB3UCIRPd8GMYJiiRA0wFVQFNU3A6bDjsKi6HDaddi4QnJRKgrMeKojT7ekIIIYRoKCWC0Z49eygoKEgIA9OnT2fVqlW8++67/PjHP45tf+utt7DZbJx77rndUdQWuRwadlvj/yyGaWLoJmHdoCakU1kdRDcMUBQwTazqK6gqOO0aTrsNp0PD6dCwayo2m4qmKthtKpqqoqoSnoQQQoh4vT4YPfXUUzz00ENcfPHFzJ8/P7b97LPP5vXXX+fhhx/m4IMPZtiwYbz//vv8/e9/55prrulxXWmtoSoKqk3B1szyU6Zpohsmum7i9Yeorg2iGyYmJgrE/q+pCg67Fmt5sh5rdcEp2oUn4UkIIcQBpMcGo7/85S889thjsbUH3njjDT788EPcbjfvvPNO7Li+ffvi8XgoKChIOF/TNP7whz/w6KOP8vOf/5xAIECfPn341a9+xfnnn9+ldelKiqJEutUAmh5spusGumESCBh4fX7CholpmtY1ABNQVat7zuWwQpPTUTfuKdplJ+OehBBCpJIeG4wuuugiLrroohaPO+ecczjnnHMa3ed0Orn55pu5+eabO7h0vZ+mqWga0MwdVwzDJGwYhEIGvoAeG/ekKFZwUlBQsMY9WcFJw2nXcDlsDcY9KZhdVDMhhBAieT02GInup6oKDlVr9rskNu7JMKjxhqjUg+imgRWbomHIery1JED6jgo8LoeMexJCCNEjSTAS7dLacU/BcBgArz+M16+j6yYoZqTpScE0rXFPdruG067GBo7LuCchhBBdSYKR6HTWuCcVu03B47KhqY2PfbIGjRsEgta4J90wMeqPe1IUbDbVmnUX6bpzOrSEcU/RtZ+EEEKItpJgJHoMTVWaDE1RhmHNuguHDQJBnbBhWOOeADOSnlRFsWbdxQUnl8OWsEimTdZ7EkII0QgJRqJXUVUFNdK11pSEcU++EJU1deOeous9maaCplnrPTkiA8addhW7TWvQ8iTjnoQQ4sAhwUiknDat92SY+PxharyhhHFPsdYnVcFu03A51FiAstvUSNegjHsSQohUI8FIHJAS1nuyN7PeU8K4p7C1ZIFp3apFMQEUFAVsNhWbCrvLgmTvrsJh11AUBVW1tquqiqJYr6soVniLPlYU63YvjT+3lkSQVishhOgaEoyEaEZbxj0FQyF8QYPKmgCKooIJBiamSd3imZHbtmCadYsZKNHn0bXJIyFIsQadx8JSpBtRVYgsbQCqEvmsKmiq1XKlqAqaUhfGWgphzR0jhBAHGglGQrRTLLCoNlwOlTS3vcUw1RqmGQlV8Y8jn8O6gRkG09SbPMaMdAtaC3JG15Wylkaoy15K7LXACkTRQKYqkZAVqR+myc7SABk7K7DbbFaXZdz+aFiLtnLFQpda73nkutFt9YOaEEJ0JwlGQvRQ0bAQedYlr9kgXEW3GRDWdYJhk1pfGFUxYscYRMZlmRBtB4u2jJmY8ctVRaKZNfgdxYytno5CLDSpqooWCVharJVMQdOUWBhTVTXWKhYLY5HzIRLG4kMXoKj1nkeuJYQQ8SQYCSFi6sJYw8BgM8BpV5tdiyoZRiRgERe0TNPqojT0xG31jzHNaAdkpPzR/5lxIQwFRbFG1JuYccHIOkBTVWubabB9X4D07RU4Ire1iQ60r2sVq+vS1KIBTcKVEClFgpEQolupihKXaDqfGRnfldgyZhLWQTdNfMEw/qC1PpZhWh/Rljsz2jVpRu4VqICigk3TIiFKqZu1GLnlTf0ux7puR0VClRA9kAQjIcQBJdpiVD+MaSo4bCpuZ+tbxOLDk64bhENQa4YxDRPdNGOD7mPNWkrkzoEmqCpokZXco2tm2WzW8hB2TUHT1IQQpSrWzZ/VuC5GIUTHk2AkhBBJUlUFNcmWLsMwY8EqrBsEQzqGWRe2YqEqxnodJTIeS1OVuu4+1Wqdstvqbswc3yoVbanCNGK32RGiI5imiRFrfY08jv3BENlv1HV9R7vOdd2IrSWnG9ZjwzAJh3X2VgS7tU4SjIQQohuoSbb6xL/56KZJKGTgN/XIm5EVrIgf6B63YqlhGGzZHcCWvg9HZLFSLdbtp0VumZM42L3++CqZOdi7RIOJUS+YmPWCS8J2g7iwEgkwuhkLL9Y+MAwraJtG3UQNImP6Io+i/c7EvhujjajRCRNEZqlGHof0MLU+o7u+XIAEIyGE6FUUxVqnClVp8y/wsB7G5VCw2zVAIRA0MEy97o3RIDZAve4NzXqoRt7I6oJUtMVKs1qrNLXe8g0NZxNKqGrIak1pJqTUCzThcJiKmhC799eCosTWUdN1E8OsCyzRIJMwwzQ6KyGyfEcsPCvRpTvi9je23hkKihpdIBdUzdbguPZSg93foinBSAghDhDRJQrsNrXNMwvjWx4MwyQQNPAZOoYZtLZHligl/n1NiQtVKrEuv/gZf/ZIF2Djg9S7d+Zfc91Ephm5L2MbuoliISau5cWabQlGrGElrq2v3hA1sELPvqowmaW12FSt0QCjKNa/saPeIq6idSQYCSGEaJESaf1JZqEGqzUqMiDdgEBYx+cPN5j5Z0LdoqRxM/9U1RqM3uTMv0jrFJgEQgZefwhFNRLGt0THbXVnN1E0tEQH3SuK1uaV5nVDJ82lkZnm6NBlM0QdCUZCCCE6laookGyoioYno/GZf7Hb6yhg6gZbSwJom8usW+LQs7qJRO8gwUgIIUSPFZv514pUpRs66W6N7AyntKaIpKndXQAhhBBCiJ5CgpEQQgghRIQEIyGEEEKICAlGQgghhBAREoyEEEIIISIkGAkhhBBCREgwEkIIIYSIkGAkhBBCCBEhwUgIIYQQIkKCkRBCCCFEhAQjIYQQQogICUZCCCGEEBESjIQQQgghIiQYCSGEEEJESDASQgghhIiQYCSEEEIIESHBSAghhBAiQoKREEIIIUSEBCMhhBBCiAgJRkIIIYQQERKMhBBCCCEiJBgJIYQQQkRIMBJCCCGEiJBgJIQQQggRIcFICCGEECJCgpEQQgghRIQEIyGEEEKICAlGQgghhBAREoyEEEIIISI6NBjV1NR05OWEEEIIIbpUu4PRSy+9xEUXXcTEiRM54ogjAPjss8+444472Lt3b7sLKIQQQgjRVWzJnhgMBrn66qv55JNPME0TAEVRAMjPz+fbb7/lpz/9KS+88AL5+fkdU1ohhBBCiE6UdIvRM888w5dffsnVV1/N8uXL+eKLL2L7hgwZwrJlyxg7dixPPfVUhxRUCCGEEKKzJd1i9M9//pP77ruP008/vdH9qqpy/fXXc+2113LHHXck9RpffPEFixcvZsOGDaiqypFHHsmcOXPo169fq87fuHEjv//971m1ahU+n4+MjAyOOuoorrnmGmnFEkIIIUQDSbcYbd++nRNPPLHZYwYMGJD0OKNPP/2USy+9lEMPPZQPP/yQN998k8rKSqZPn86+fftaPL+4uJjzzjuP9evX89xzz/Hf//6X3/3ud7z//vuce+65lJaWJlUuIYQQQqSupIORy+VqMVxs2bIFl8vV5muHw2Hmz5/PoEGDuPHGG7HZbGRmZnLvvfeyf/9+HnnkkRav8fzzz+Pz+bjpppsYOHAgAKNHj+aKK65g3759vPTSS20ulxBCCCFSW9LB6NBDD+Wuu+5qcoq+YRj85je/YdKkSW2+9sqVK9m2bRsnn3wyqlpXxIKCAiZOnMjy5cupra1t9hrRlqpoKIqKPt+9e3ebyyWEEEKI1Jb0GKNf/OIXXHzxxRx77LGceuqpjB49GoCXX36ZHTt28M9//pM9e/bwwgsvtPnan332GQCjRo1qsG/06NF8+eWXfP311xx11FFNXmPkyJF8+OGHbN68meHDh8e2b9myBSBhmxBCCCEEtCMYHXrooTzwwAPMmzePv//97yiKgmmazJs3D9M08Xg8PPzww4wdO7bN1968eTNAowOko9u2bNnSbDC64oor+Pjjj3nkkUcYNGgQI0aM4Ouvv+app55i3LhxTJ8+vc3litJ1HV3Xkz6/qWuC1dKmGx177Z7AMIyEz6ko1eso9ev9Ur2OqV4/SP06GqZVr856j22NpIMRwBlnnMHkyZNZtmwZq1evpqamhoyMDCZMmMA555xDbm5uUteNds81Nj4puq26urrZa+Tk5PDss89yzz33cOaZZ2K329F1nZ/85CfMnTs3qbFPUevWrUv63KYEQwbBsMGGjRtQI+tBpaINGzZ0dxE6XarXUerX+6V6HVO9fpC6ddQNa13E1atXd1sZ2hWMAPLy8rjiiis6oiwdav369fziF7+gT58+LF++nGHDhrFp0ybmzp3LT3/6U37/+99TVFSU1LVHjhyJx+PpsLJ+vX4/Dz/7OYGQTl62i2H9sxhSmMHQ/lnkZbtiC2f2ZoZhsGHDBkaMGJEwbiyVpHodpX69X6rXMdXrB6lfx2AozNq1Gxg3bhyapnXYdb1eb6sbNdodjFoyY8YMnn/++Tadk56eDoDf72+wL7otIyOj2WvMnz+f3bt389xzz8UGXI8YMYJHHnmEk08+mXnz5vHMM8+0qVxRmqZ16D/Yu59vJxCymvn2V/jZX+Hns++twePpbjtD+2cytH8WQ/tnMSA/HZvWe38YVFVFUzvua9cTpXodpX69X6rXMdXrB6lbR1WxutI6+n22LdfqkGBUXl6O3++P3RokyjRNPv/88zZfb+jQoQCUlJQ02BfdNmTIkCbP93q9fPXVVxQWFjY6K62wsJBPP/0Uv9/fri61jnL4mHw++Gpno/tqfCFWbyxl9UZraQS7pjKoX0YkKGUytDALt6vT860QQghxQEj6HTUQCPDggw/yz3/+k6qqqo4sE0cccQSPP/44xcXFDVbWLi4uxul0MmHChCbPj4a0prqgVFXFMAy8Xm+PCEbHTxpE/7w0lv7zf/gNB1v3VBMINj5QLKQbbNxZycadlQAoQL8+abFWpWH9s8jJdKZE95sQQgjR1ZIORgsXLuTll1/moIMO4ogjjoh1f8UzTZPXXnutzdeePHkygwYNYsWKFdxwww2xftS9e/eyatUqzj77bNLS0mLHl5SUkJubi81mVSc3N5eioiJ2797N7t27KSwsjB27Z88edu3aRf/+/ZMeHN4ZhhVlMX6Ih/FjR6GpGrv317J5dyWbdlayeVcVFTWBRs8zgd2ltewureWT1dbaTFlpDqtFqchqVeqfl46mSlASQgghWpJ0MHr77bdZsGABF154YbPHvfrqq22+ts1mY+HChVx++eUsXryY66+/Hq/Xyx133EFeXh6zZ8+OHfvGG28we/ZsjjvuOB5//PHY9jlz5jB79mxuueUWHnjgAQoLC9m9eze33HILhmEwZ86cNperq6iqQlF+OkX56Rw9wRogXl7lZ/OuKjbtqmTzrkp276/FbOL8ytogX63fx1frrVunOO0agwszYuOUhvTLxOlIvb5pIYQQor2SDkamaXLmmWe2eFxbB15HTZkyheeee47Fixdz9NFHoygKRx55JC+++GLC+kY5OTmkp6cntAoBnHbaaeTm5vKnP/2Jc845B8MwUFWV8ePH88wzzzBlypSkytVdcjJd5GS6OGy0VXdfIMyW3VVsjgSlrXuqCYUbX9ciENJZt62CddsqAFAV6N83Pdb1NrR/Jlnpzq6qihBCCNFjJR2Mjj32WDZs2NDsWB+wVrE+4ogjknqNSZMmsXTp0maPmTJlCl9++WWj+yZPnszkyZOTeu2ezu20MWZILmOGWN2Bum6wY18Nm3fVhaVqb6jRcw0TdpTUsKOkhg8jg75zM10M7Z8ZCUpZFPTxpPR6SkIIIURjkg5G8+fP595776WiooJjjjmmyfUUHnvsMWbNmpV0AUXraJrK4H6ZDO6XybGHDcA0TfZX+tm8szIyVqmKknJvk+eXVfkpq/Lz5Vpr1p/baYvNehtalMmggkzstt67TIAQQgjRGkkHo8zMTI499lhuueUWampqyMnJwemU7pieQlEU+ma76Zvt5ohD+gHW1P8tuypjY5W2l1Sj642PVPIFwny/uYzvN5cBoKkKAwsy6tZUKswk3ePosvoIIYQQXSHpYPTCCy9w1113AVZIcjgcDdYxEj1LutvO2OF5jB2eB0AobLB9b3VsQPeWXVV4A+FGz9UNky27q9iyu4r3v9wBQH6OOzage1j/TPKy3bJMgBBCiF4t6WD09NNPc+6553LzzTeTk5PT5HGjR49O9iVEJ7PbVIYVZTGsKAsAwzQpKfNGgpI1Vqm0suHq41El5T5Kyn2s/G4PAOkeu9X1FhmrVNTLV+kWQghx4Ek6GJWUlDBnzhyys7ObPW7RokXJvoToYqqi0K9PGv36pHHUuP4AVNYGrJC0s5LNu6vYWVKN0UTDYI03xOqN+1m9cT9gBa9BBRkMK8piUL90wqHUvBu0EEKI1JF0MBozZgw1NTUtBqMBAwYk+xKiB8hKczLxoL5MPKgvAIGgzra9VWzaWcmmXVVs3V0Vu89bfaFw4irdAIVf/Y9hRdmxsUo5GbJKtxBCCGsZIH8g3O3DcpIORnPnzuWBBx7gnnvuITMzs8njZsyYwZo1a5J9GdHDOB0aBw3M4aCBVvepbpjs3l+3TMCmXZVU1gSbPH93qZfdpV4+/mYXANnpzrib5FqrdKuySrcQQqScUNigoiZARbWf8qoAFTUByiOPy6ut7cGwgcuucPihVQwf0PQwnc6UdDD661//yv79+zn66KOZMGEC+fn5OBwyS+lAo6kKA/IzGJCfwTETizBNk/LqQGQtJWv2255mVumuqAmwat0+Vq2LrNLt0BjcL5NhkbA0WFbpFkKIHs8wTWq8ISv0VAciH34qqgNURB43tbZeff6Qybufb+99wWjZsmWxx59//nmTx0k3yYFFURRyM13kZro4fHQBAD5/mI27yvnft1uoDNjYvrem6VW6gzrrtpWzbls5YK3SXZSfwdDCzNi937LSZFkIIYToSoGgTkVNXetONPREW3rKawJNLv+SjEOGdd+9TJMORgDvvvtus/tN0+Skk05qz0uIFOB2Wat0a8H9jBw5EtNU2FlSE1t4cvOuSmp8Ta/SvX1vNdv3VvNBZJXuPlmuWNfb0P5ZFOTKKt1CCJEs3TCpqo2EnKoA5TV1oae8ynrc1FIu7aEAmekOcjJc5GQ4yc5wku62Q6CcI8cWtnh+Z0k6GA0dOpSioqIWj5s0aVKyLyFSlE1TGVyYyeDCTI49zArQ+yt8bIq7nUlJua/J80sr/ZRW+vlizV4APE4bQyIhaVj/LAYWZMgq3aLVDNMkENCp9gUoqw5TUR0gw+PEYZcuXNH7maaJLxCOtOxExvTEPa6oDlBZE2hytnF7uBwaORkusjOc5GQ4rQCUaQWgnHQXWekOtHpLugSCIb5fU93xhWmDpIPRm2++2arjWrrXmRCKotA3x0PfHA+To6t0e4Nsjt0kt4rte6vRm/jJ9dZfpVtTGJifEVtPaUj/LOuvEJGyQmEDbyCEPxDG6w/jC9R9tPTcHwgnjoH72Po+smsqHpcNj9uOx2kjzW3H47LjcdlIi//stuFx2WPbZO0u0ZXCemRAc1Vd6Il1b0UCUFMzh9tDVRWy052xlp76ASg7w4nb2a5OqW7T6aU+4YQTWuxyE6K+dI+DccPzGBdZpTsY1tm+t5rNO6vYvNsKS76mVunWG1ul28Owoui937LIy3LJ+LcexDBM/MEw3mhgqRdemg84IcIdOLYhKqQbVNYGqaxtepZlY5x2zQpULjtp7miISgxUHredNGfks8uO22mT2ZiiAdM0qfGFEoJOWZWP7bsqeXPVV1RUB6nxBpuc3NIeaW57JOQ4yY7r6op2e2V4HCn7PdvqYBQOhwmHw7hcLgB27drV4jmmabbqOCFa4rBpDC/KZnhRNmB1f+wt87J5Z2Vspe6yquZW6fZSUu7l02/rVukeFjdOaUDf9AZNuqL1TNMkpBuxQNNUwIkPM76AjtcfwhcIEwjqnfLLvTsEQjqBkE55daDV5yhYN25ObJ2KtkQltkhZYcra5nJoEvB7sUBIj8zaarylp7za30zob/33V312TSW7XtCxurhc5KRb2w/kruRWB6Pzzz+fkpISVqxYQVpaGscff7z8QIpuoyoKhX3SKOyTxlHjI6t01wRiSwRs3lXJzn01NLVOWI03xDcb9vPNhrpVugf3y4jd+21IYWavbQZOlmGY+IKJgcYb6Wry+sN4/UF2763m803FDVtzAuEOnZHSkRTA5bThjnx4XHWP4587HSr7S/aSm5ePL2Dg9Yfw+sPU+kLURh5Ht3V014SJ1SXc1gGuqqpYYclptU7FB6m6rr74IKV2SuuaaMgwTKq8QSqqGk5fjwagWn/nDGjOSHM02dKTk+EkzW2X9+9mtPo3v2maGEbiFOtzzjmnxXNee+21pAomRFtlpTuZOLIvE0fWrdK9dU9dUNq6u7rZVbo37Khkww5rlW4FKMxLi81+G9Y/i5xMV1dVJSmmaRIKG4222NQFHKulxmqxSeye8gdb+2bf9MD4zmLXVNxNBJomnzutLiqnU2vVrEXd0FmnVDByZAGa2vxfy+GwQW0gEpZ8IWojoanWH8LrC+MNhKj11QWp2si+jg6PhmGtHVPjDUF568+zvVdqhSV3fJCqC1NpbuvrJ+OnmmYNaK5r3UlYv6fKT2VtEKMTRjQ77RoeJxT0yYwbzFwXerLSnfLv1E6tDkYvvfQS4XAYt9sd29aa+6C9+uqrSRVMiPZyOjRGDsph5KC6Vbp3RVfp3mmFpabGj5jArv217NpfW7dKd4aToYWZDCvKYmhhFoV5aR3exx5rtWmySyqxCyq+xcbXw1tt3E4brlYFmsjjyNgbt9PW42YZ2mwqWTZnm9bUMk2TYNjA66sLS3Wfm26d8vpDHT5jKNzO8VPRrr4mx0/FbeuN46fCukFlTaBuynpCALKet/4PidZTFesPvMQWHhfZmU5y0q3HdjusX7+ekSNHthjgRXJaHYzsdjt2e93MntbeHFZuIit6Ck21ZqsNzM/gh9FVuqsCsRalzbuq2FPazCrd1QFWVSeu0j2kXyQo9c+kKD8N0zQJhHSCofhwE2mliYSZ+O6p+l1SnfHLtqPYbSp2DTLSXM2EG3tiuHHacLtsOB2ta7VJZYqi4LRrOO0aOU3fRamB6HICtYFQvdYpq7XKG7ACldefGLiampzQHp06fqpeV2BnjZ8yTZNav9XaEz+TK376elVt5wxo9rhsCWv21J/JlZnW8oBm3ei5vyNSRdKDKCZPntzs/qeeeoq+ffu22N0mRHdRFIXcLBe5WS4mjbFW6fb6Q2zZXRW799u2PdWE9KZX6S7eVk5x3CrdAIa5r0vK31aKQkKYaa77KdptFR9wFNVk3bp18pdqF1MVxfr3cNkgy93yCRG6YeKr15VX4wuyddtu0jJz8PnDsZAV33IVDDX+/Z6sjho/FWuRamL8VJrLjtOhENZN9pX7qKwNNRjIHH3c1Mr77aFpSl3oSbcGM9cFH+uz8wAe0NybJB2MTjjhhGZvDrtmzRqWLFnCt99+y7x585J9GSG6lMdl5+ChfTh4aB/AalLfUVITW3hy064qaptZpbuzOWxqQnCpCzh23E6tYYtNXMBxtLPVRv5S7V00VSHd4yDdU3cPS93QydIqGTlycJPhNjZ+yhdO6NarrdcFGBtTFdnWU8ZPWTr+j5MMjyOupSduscJIF1eax37At4qmiqSDkdnUdJ+IRx55hOLiYmbOnCnBSPRaNk1lSGEmQwozOe7wgZimyb4KX8JNcvc1s0p3fWpcq42rQReU1nSLTeS5DKoUnS3p8VMhIxaWYi1RsYHooUZap6znLbyVdAmHXY3r4nI1CEDZ6U5sPWycm+g8SQej1vT9Zmdn4/N1/QwWITqLoijk53jIz/Ew+RDrXj7V3iBbdlWxbW8VZWWlDOhfQJrL0Wi4cdpl3RmRehRFwenQcDq0Ns3ejI2f8oda0TpVt68tY/GUyIDmWBdX/G0pIl1cHqdNfi5FTKuD0bJly1i2bFnCthkzZjR5fDAYZOPGjRx88MHJl06IXiDD42DciDwOHpbDunUBRo4skjE4QrRC/PipPNo+fqo2flafL0yNL8jekhIOGjqA3Ew3ORlOMtOdaL1sVpzoXq0ORjt37uSzzz6LPVcUJeF5fVlZWYwfP57bb7+9fSUUQggh4jQ2fgoia1Gtq2XkyL7yx4lIWquD0axZs5g1a1bs+ejRo1m7dm2nFEoIIYQQojskPZps2rRpHVkOIYQQQohul3QwOvfcc1t13AknnJDsSwghhBBCdKmkg1FzA6+jysrK2LVrV7IvIYQQQgjRpZIORqZpsnfv3ib3v/3225x55pnJXl4IIYQQosu1a8WqGTNmsG9f4gqj1dXV3HzzzVx//fXU1NS0q3BCCCGEEF2pXcHoZz/7GZdccgn79+8H4D//+Q9nnHEGr7/+OmPHjuWVV15pcYVsIYQQQoieIumVr2fNmsWMGTMIh8PMmDGDCRMmsGzZMmw2G7NmzeLqq69G0zSef/75jiyvEEIIIUSnaVcwAvj5z39OOBzmkUceYcSIEdx///0ccsghseNkmXUhhBBC9BYdcle8K6+8khtuuAFFUejfv3/CvtbMXhNCCCGE6Ala3WI0d+7cFo/Zt28fP/3pTzn00EPbVSghhBBCiO7QppvItkZFRQVbtmyJPZeuNCGEEEL0Fm0aY/Tuu++26eKmaXLSSSe16RwhhBCiPtM0WnWMEvlsmqn5R3mq19E0DRQFdF1v8VhFUVDVDhkRlKDVwWjQoEEUFRW1+QUmTZrU5nOEEEIIgJC/hnCgulXBCEwK+7gJVu8FUi80WFK8jqbJkMI0NmzY0KoeJ03T6Nu3Lzk5OR1WhFYHoxUrViT1AkuXLk3qPCGEEAe2kL8GPVhN/6JCXC43Lb5PmuAPBHA5nSmZGYCUr6NpgM8fIDvT02IwMk0Tv9/Pzp07ATosHCU9Xb+1xowZw5o1azr7ZYQQQqSYcMAKRWlp6a07wQRVVVFVLSVDA5DydTQxUVUVTdNa1WKUnp5OUVERu3bt6vpg9Pnnnyf1ArLytRBCiLayxtAYuFzu7i6K6OFcLhe6rmMYRoeMOWp1MLrkkkuSmmEms9KEEEIkS95CREuiOaOjGmLa1JV27bXXtunipmny+9//vk3nCCGEEEJ0lzYFo+htQNrisccea/M5QgghhBDdodWdccneDFZuIiuEEEKI3qLVweiII45I6gU+++yzpM4TQgghROs8+cTjTBh3SOxDJK/jl4ysR7rShBBCiM515S+u4uvV3zFp0g+6uyjJMcE0wegBE9nbtY7Rnj17+OMf/8j//vc/qqqqZGq+EEIIIRKZYAKYJqb1qVGKAqoKWqc32TQv6WC0fft2zj//fKqqqigoKGD37t30798fgEAgQGlpKYqixLYJIYQQIsW0IfQoioIW+awqCiiR7Six/aZpYoSDXViBhpIORosXL2bUqFH87ne/IysrizFjxvDee+/F9m/ZsoWbbrqJyy+/vEMKKoQQQnSVN99Yzl/+7//YsmUzpgmDBg3kqKlHc+ZZZ2Oz2Tj91JNjxy5YeDfVVVW88vLL7Ny5g8zMTE486WRmXXc9GRkZDa794Qcf8OyzT7Pm++/RdZ0hQ4dy7rnncf70CxIWKPT5fPzzn//g3XfeYdPGjZSVlZKXl8eUo6Zy3XU30CevT4v12LlzZ0JZAc4662zuvve+lstz/gUoqgqmydfffM2ll/wsds4TTz3NhvXreOmlF9mxfTvhcJizzjqbe+9b1GTo6S2SbrBauXIlc+fOJSsrq9H9Q4YM4e6775ZZaUKIXiOsm3j9YfzBMMGQTlg3MGSIwAHnL//3f9x26y0cf8IJvP7Gm7z19jtc9v9m8n9/Xsofn3yCoqIivl79HQvvvgeAZ59+mo0bN/LkH//EBx99wrXXXc/fX/obv7jyckKhxNaP5559hlnXXk1R0QD+8fpy3vv3B5x99jR+veg+Ft61IOHYTZs2cu/dCxkxfDj/99cX+OiTT/n1/Q/y7erVXDrjZ9TU1LRYl6KiIl597Z8UFPTjnvsW8fXq76xQFBnT8+wzVnn69y9i2WvLefvd/3DWWefw60X3cdddv7KGyCgKEydOZPW333PNNdZ6hs8980dK9+/juWef5d1332XEiBFomorDrmGzqdg0FU1VUVWlV4UiaEeLUUVFBcOGDYs91zSNQCCA0+mMbRs2bBjFxcXtK6EQQnSyQEin2hsgrJukuW0YhkIwbBAOhTENIuFIAUzrL2HrEaqioCkKimp9VtW4j172ZiDqvPbaMrKzs/l/P58Z23byKaewbl0xe/fsaXB8KBTiVwvuirX2nHvueWzetInnn3uWPy9dGrvO2rVr+O1vHqGoaAC/WnAXmqYBcNHPfsZ3333Lslde5pRTTmXKUUcB1q0ujj76GObcelvstQ499DDuXHAXl/zsp7z88t+59NLLGq2DaQImbNiwnmuu/gU3zv4lp552OrpeF/TXFa9l8W+t8ixceDc2mw1Fgcsum8HaNd/z6rJXOOvMHzN16tTYOapat8r0rbfeEtv+i1/8olVBrTdIusWob9++lJSUxJ4XFhayevXqhGO++uor7HZ78qUTQohOFAzplFX5COsGQ/plMDjfyfCibEYPyWX8iDwOHZnPxJF9mXBQX8YO78OYoX0YOTCH4UXZDC3MojAvndwsF+kuOzabim6aeAMhqmuDlFf7Ka8OUFEToKLGT0WNn/JqP5U1Aaq9QWr9IfwBaZnqiRQUKisr+e8nnyRs/38/n8mNN/2ywfEnnXxSg3t0nXLqqQD885//iG17+e8vYRgGZ519diwURZ166mkA/OO1V2Pbhg8fwWN/eDzhOBOT4cNHAPDV//6HoZvocR/RSVCmabJ+/TquvvpK5txyC2eddSZOh4bLoeF22vC4bLz26ssYhsG5507D7XJgj2vp+fGPzwDglVdeafRrdNpppyU8P+uss7jooosaPba3SbrFaPTo0SxevJhFixZhs9kYP3488+bN47bbbmPQoEEUFxfz4IMPMnLkyKQL98UXX7B48WI2bNiAqqoceeSRzJkzh379+rX6GuvWreMPf/gDX331FV6vF6fTycEHH8zll1/OpEmTki6bEKL3CoZ1anwhHDaNIYVZ5Ga5UDDZuTWxlUdRFDRNod57WLNM08QwTPT4D92IbQuGDXRdJxgyCIUNQrqBPxBpmcJEoeF9n9S41ihpmep8P7v4YubPu4Orr7qSww+fxCmnncYJx59An7w80tLSGhzfr19hg21DhgwFYNPGjYRCQex2B9+u/haw3j8bXsN6X/vuu+8wzci/vwn/W/U/nnv2adatK2ZfSQm6rsfOqaquwmZTY2N4FOpadLZsWs+VV/wcgKOnHoXd1rAd5JtvvgFgzJgxTZbn22+/bfRr1Jb34d4m6WB08sknc9ttt7F9+3ZeeOEFrrzySs477zyuvvrq2DGKonDvvfcmdf1PP/2UmTNnMnPmTJ555hm8Xi833XQT06dP5+WXX6Zv374tXuM///kPN910E/Pnz+fBBx/EZrPxn//8h1mzZnHYYYf1qGBkfUNDdW2IrHQVrbvnKwqRgoJhnVpfCJtNZXC/TPpkubBFftbi33Dao6PDlGFaYSocTgxTgYBu7ceMde0R1+jUWJgyMWRZlVY486yz6d+/iGee/hOffPIxX3zxOfcvuo8TTjyJW269lby8xPcfj8fT4Bputxuw/m1ra71kZzuoqakG4Ibrr2vytUvLSgETVVV4Y/nr3D73NsaNG8ejv3uUkSNH4nDY8fl8HHbYYaiKgsOe+I0WHc9zxRVXcOihh/Lee++xYMECfve73zV4rWjX1zXXXNN0eUpLG93ucrmaPKe3SzoYnXXWWfzoRz/CZrMuMWrUKP70pz/xxBNPsHPnTvr378+ll17KlClT2nztcDjM/PnzGTRoEDfeeCOqqpKZmcm9997LcccdxyOPPMKiRYuavUZZWRlz5szh2muv5Zxzzolt/9GPfsSMGTNaFay6kqoqDMhzkJ/rprQygGmapHscsV/aQojkhcIGNb4gNpvKoHqBqCfoiDBV99gKVLEwFTYIh61AFQjqeAMmFdUBNE1tVZiKtkpFWyIOFIdPmsThkyZRXl7O2yve4q9//Qtv/etN1hUX89LLryQME/F6vbFp69HgWVPjBUBVVVwuD7pukp5uzVB74sk/ctRRRyW09CjRmVzUhZsnHv8Dpmly9913x1qZWhtsFyxYwHHHHceFF17IW2+9xfLlyznjjDMSjonOmHvmmWc4KjKuSbQjGKmqSk5OTsK2yZMnM3ny5HYXauXKlWzbto2rrroqod+2oKCAiRMnsnz5cubNm9dok2bUCy+8QE1NDeedd16DfXPmzGl3GTuDw6YysCCDwr4ZlFb42F1ai2GYpLsdjTaDCiGaFwob1PqDaKrKoIIMcrPcKfOzlEyY0nUdvWYH4w/KA9S4FiorTIUiASoY1mNhKhjQreBlmihKYstU9E28foCKD1W90SeffMzEiRPxeNLIyclh+vQLOWfauVxw/k/YtGkj69dtYNTo0RiGdfyuXbvRDevro0YG4+/cvgWA4cOHk5HuQlEUJk6cwPfff8e+kj0NWnoA1q5dSyAQYMKECYA11R6sWd7x/H5/i3U46aSTALj//vuZNm0aCxcu5IgjjkhoFJgwYQLffvtt7HVaKs+BIunfEK+++mqz+6+//npuv/129u3b1+ZrR++vNmrUqAb7Ro8eTSAQ4Ouvv272Gu+88w4DBw5scjmBnsxp1+jfN53xI/IYUJCBPximrNpPINQxTf1CpLpw2KC82o8vGKYoP4Oxw/Mo6JOWMqGoPTRVwW7TcDltpLntZKY5yMlw0SfLTb8+aQwsyGB4UTajBucydngeE0flWx8j+zJ2WB4HD+nDqMG5jBiYzdCiLIry08nLdpPuseOwq4CJPxim2msNQK+o8VNe448MQg9QER2AXhuk1hfCFwgTCFlBzOiO+0FEb0URbXXTTRYuWMAXn39ZN6jZMLHZ7AwaNAiA9HQ3TocW+356950VuBwqHpcdl9OG066xYsVbAJx77rnWtHVF4cILL0TTNJYtW9agGF6vl5kzZ/Lhhx/GthUWWmOX6s/u/uqrr1pdveHDh3PTTTdRUVHB/PnzE/ZdcMEFbSrPgSLpFqO5c+cmdFHVd+ihh/Lqq69y55138oc//KFN1968eTMA+fn5DfZFt23ZsqXJpj9d11m/fj0TJ07kv//9L08++STr1q1D0zQmTpzINddc0+jgt9bSdb3DxiPEXzP+M4CqQH62i9wMB+VVfnbvr6XaG8Dt1HA52nU3ly5nRP60in5ORalex95Qv3DYoMYXQlMVCvPSyMtyYbdpgNniz2xjP4Oppj11VBVQbQp2oq1AzTdVWd17RmS8VHx3n9USFdajLVQ6obCOXzcw9GjLlAKGjsMwCesmqmlQ1/ZkLRhoPSLS/RQZsB5pyjIxUUzFeh7r4qo7IjYmi7pWr1hrT+Txww/dT0a6h7FjD0HXDd599x0+/vgjjjnmGA4aMdw6N1KOAQMGMH/+fG644QYyMjJYvnw5S5cuZcKECfzsZz+LdX+NHDmSW265hUWLFnHrrbdy5ZVX0r9/f9avX8/9999P3759mTFjRuz4Sy+9lLvvvpt58+Zxzz33cNBBB/HNN99w333W4oymaTboWouflRY1Y8YM3nvvPd5//33+/ve/x3pS2lqe+tfvjPFqjZW/NeeYZvM/4235nlfMJGs2evRo1q5d2+wxZWVlnHLKKXz++edtuvbPf/5zPv74Y15++WXGjh2bsO/ZZ59l0aJF3HTTTfziF79o9Pzy8nKOPPJIsrOzcblcPPDAAxx++OFs27aNOXPmsH79ep599lkOO+ywNpXL6/WyZs2aNp3TkXTDpNanU1pjjRtw2pTIX2hCHNh0w8QXNFBQ6JOukZlmw6b1zm6cA5k12NxaN8owwOO2M2zocGv1ZUxMs64rL/72EyaNv41FA5MVeqJBJrISs/WQxr5LvvrqK5YvX86qVavYu3dv7PZWp59+OtOnT48NPP7HP/7BggULWLBgAaqqsnTpUrZu3UpGRgYnnngi1157Lenp6Q2u/9///pfnn3+e7777jnA4TGFhISeccAIXX3wxmZmZCce+9dZbLF26lC1btqAoCmPGjOHnP/95woDpBQsWJHyOOvPMM7nrrrs444wz2L17d8K+J598MjYBqTXl2bVrFz/+8Y8b1GXBggWcddZZjX79u4phGGzatIlwONzisWPGjGl0sHy8pJsdWlrJMhgMsnr16tjg7K4UCAQAaxHK+++/PzbuadiwYTzwwAOcccYZ3HPPPU2uz9CSkSNHtviFbStd11m9ejXjxo1rsL5Fg2MNk+raILv211LrC+F0qLidth69uqhhGGzYsIERI0Y0WO8jVaR6HXti/cJ6pIUIhX55aeRlR1uI2q4tP4O9VW+qo67rbNiwgbQ0d7NljW8JMk0Tn8+P2+2KDGqua11qi6OOOqpVg5EdDkfs87nnnsv06dNbdf0TTjiBE044oVXHTps2jWnTpsWeW3X0sWbNmga/8y+88MJGr/H++++3uzwjRoxosTGkI0Tr53a7W/2epus6drudMWPGNPm94vV6WbduXauu1+rUsmTJEh577LHYc9M0G137oL7GEmZLogm7sQFm0W2N3X8mKn4aYf1ZccOHD6eoqIjvvvuOsrIycnNz21w+TdM67ZdKa66tadAn20ZOpptqb5DdpbVU1QZx2DTSXD07IKmqiqb27F/I7ZXqdewJ9QvrBjXeIIqqMDA/k7xsd6ODWZPRmT/fPUVvqaMS69pq+ndatBUIrPclVQFNVbvk92D0NVoqY2e9dk/+Xd9ebalf9Njmvq/b8v3e6mBUVFSUsO7PF1980eQ6QIqikJWVxdixY7n44otbXZiooUOthbHiV9aOim6rP0o/XlZWFmlpadTW1jaYOQeQl5fHjh07kg5GPYWqKmSlO8lMc1DjC7Fnfy0VNQFsqkqaxy4Lv4mUo+sG1d4gimKNIeqb4+mwQCSEENCGYFS/OW/06NEsXbq0Uwp1xBFH8Pjjj1NcXMzpp5+esK+4uBin09ns9EFFUTj00EP56KOPKC0tjY3sjyorKwPo1aEonqIoZHgcZAyyAlJJmZfSSh+qqpDudqD10imzQkTpukG1L4hCZFB1jgenBCLRTXbs2JHQ9TR37lzmzp3Lu+++y4ABA7qxZKIjJD1QoKUFFttj8uTJDBo0iBUrViTMgNm7dy+rVq3ijDPOSFjDqKSkpMGgq3PPPReAjz76KGH7tm3b2LFjBxMnTkyZYBQv3W1nWFEWhwzrQ16WiyqvNUVW13vuTCIhmqLrhjW12xeioE8aY0fkUZSfIaFIdKsBAwZQXFzc4ENCUWpIOhjFtx61VUtjk2w2GwsXLmTbtm0sXrwYXdeprq7mjjvuIC8vj9mzZ8eOfeONNzjmmGOYNWtWwjVOP/10jjvuOBYvXsyqVasAK1jddtttuN1u7rzzzqTL3xt4XHYGF2YxblgeBX081PhCVNQECIclIImeTzdMKiKBKD/Xw9jhfRgogUgI0QW6ZTGc1qwQMGXKFJ577jkWL17M0UcfjaIoHHnkkbz44osJ6xvl5OSQnp7eoLtMURR+97vf8eSTT3LLLbdQUVGBzWZjypQp3HPPPQwbNqzD69UTuZw2BuZnkJ/jobTSz57SWgy/gcdlx5Hk7B0hOotumFT7gpimSUFOGvk5blzO3rVmlxCid+uW3zitHWk+adKkFscxTZkyhS+//LLRfQ6Hg1mzZjVoTToQOe0a/fPS6JvtoqzSz67SWmp8IdJcdvkrXHQ73TCp8QUxDJP8XA8FOR4JREKIbiG/eQ4wdptGQZ80+mS7Ka/yx9ZC8jht8kYkupwRbSEyoG+um/wcD275PhRCdCP5DXSAsmkqfXM85Ga5qai2bjdSVuXD7bDjdsm3hehc0UBkGJCf4yI/N00CkRCiR5DfRAc4TVXok+UmJ8NFVW2QXftrKK3y4bLb8PTwxSJF7xMNRLphkp9jtRB5XPbuLpYQQsRIMBKAtVhkdoaTrHQHVbXWatoV1QHsNhWPWxaLFO1jmCY13hC6YZCX7aYgVwKREKJnkmAkEihKvdW0IwFJU1XS3XZUWSxStIFhmtR6Q4QNgz5Zbvr1kUAkhOjZJBiJRsVW0/Y4qPWFKCn3sr/Cj6oiq2mLFtUPRAW5HtLcEoiEaMzxxx9PTU0Ndnvdz0hZWRmGYZCXlxfbpus65eXl/O9//+uOYh4weuw6RqLnSHPbGerOol+fNErKvZSUe1GwApJN6xl3WRc9g2Ga1PpChHWD3CwX/XLTJBAJ0QqPPvookydPjj0//vjj2blzJx9//HFsW/1bkbTFqFGjmDZtGr/+9a/bXdZUl3QwGj16NIqicPrpp/Pwww+36dy1a9cm+7KiG7mdNgb3y6Qg18P+Ch97y7yYJqS77NhsEpAOZNFAFNJ1cjJcFOalky6BSAjRC7WrxWjmzJlccsklHVUW0Uu4HDYGRFbT3h9ZTVv3GaS5ZTXtA40ZC0QG2RlOCvNyJBAJ0UbPPvssffv2bfG4goIC3njjjS4o0YEt6T/z09LSuPbaaykoKOjI8ohexBFZTXvc8DwG9cskGDIor/YTCOrdXTTRyUzTtO6/Vx0gzW1nzJBcDhoooUiIZAwaNAi3293icXa7nfXr13PSSSdx8MEHJzRMvP/++0ydOpUxY8YkbP/LX/7C1KlTAeveolOnTmXq1KlceeWVCdd+6aWXOPfcc5kyZQpTpkxh5syZfPHFFwnHnHjiiRx++OGMGjWKjz76iAcffJCTTz6ZQw45hFGjRrFjx472fBl6jKRbjCZMmMCWLVtavCHsjBkzeP7555N9GdEL2G0qBbke+mS5qKj2s2tfLWXVITwOWU071URbiHQdsjOc9BuQRbrbLutdiS6lGyabd1U28keYid8fwOXyAV3/Pel0aAztn9Wpk1NOOeUUjjnmGH784x8nbD/uuOP4+OOPOf744xO2X3TRRVx00UWMGjWK008/vdExRvfeey9//etfeeCBBzjttNMIhUIsXryYGTNm8Jvf/IZTTjkFgHfeeYdXXnmFuXPn8tvf/pbLL7+cX/7yl2zatImzzjqr0+rc1ZJ+17rpppu47777ePDBB+nXr1+Tx33++efJvoToZWyaSl62h5xMN1U1AXbtq6Gs2o/LruGwp/gbp2mAvxpboAr0MKip1aUYDUQ1PgO308aAgkwJRKJbhMIGtz32Ieu2VXR3URo1clA2v772GOy9ZNzlqlWreP755znrrLM4/fTTAes+o7/85S958803ufPOOznmmGPweDwJ5x188MGceuqpAIwYMYIFCxaQnZ3d1cXvFEkHo//7v/8jFApx4oknMm7cOAoLC3E6nR1ZNtFLaapCTqaLrHSntVjk/hoqqgP4g0bqzUg0DAhUQ3UJ+Ktx+vbB3mLIKgRPDmi9u8XMNE28gTD+YJhMt52BfR0cNDAbm61310v0XnvLantsKAJYt62CvWW1DMjP6O6itMry5csBGrQ0qarKcccdx5///Gc++eQTTjzxxIT9RxxxRMLz6dOnd25Bu1DSv92WLVsWe7xq1SpWrVrV6HHyF+WBK3417YpqP3t3baGyJojDbg3U7tWraRth8FZagUgPgs0J7mx0eyXYXFC529qXmQ/u3heQooEoEAyTmeZgaP8+eJwq3nJNfqZFtyrITWPkoOweG45GDsqmIDetu4vRalu2bAFodPB3dAzx5s2bG+zr06dPp5arO7Xrt/W7777b7H7TNDnppJPa8xIiBSiKQmaag6I+Dg4anMO+Sj/lVb10NW09BLXlULPPCkd2NziyrH2GYX3WbGDPtLrUyndBVe8KSF5/CF8wTFaagyGFuWSmOVAUBV2XQfWi+9ltKg9c98MWxhg5SdUxRi0xor+HOpmq9o6uwmQk/Vt66NChFBUVtXjcpEmTkn0JkWIURSHd4yArw43XH2JvmZfSCj+okNHTV9MO+cFbDtX7rOcOD2gt/FWo2cCTZYWp+IDkyQG15wUkrz+EP6iT4bEzOC4QCdHTaKrCiAHZDbabponX68Xj8aT8967dbicUCjXYXlZWxsCBA1t9nSFDhvDhhx9SUlLSYN/evXsB6/3+QJJ05HvzzTdbddzSpUuTfQmRwjwuO0P7Z3HI8D7kZ3uo9gapqPET1rvmr51WC3qhfDvsXQc1+8GZBu7MtrX8aHYrINkcVkDaU2xdywh3XrnbwOcPU1blx2ZTGTU4h9FDcslKd6b8G4sQvVl+fj67d+9O2LZ69WoCgUCjx7vd7liQCofDLFy4kF27dsVmt73//vsJxxuGwfvvv092djZHHXVUJ9Sg5+qQtjCfz8fXX38d61pr6h9GiPrcThuD+mUwdngfCvukUesPUV7tJxTuxoBkmuCvgf2boWS9NZbIlQ6ujPbNNosPSBU7uz0g+QJhyqr9qDaFkYNyGD1YApEQvcUJJ5zAnj17ePXVVzFNk3379vHUU081OTNsxIgRbNq0CV3X+fzzz/nb3/6Gy+Vi4sSJzJgxgzfffJM333wT0zQJBoM8/PDD7Nmzh4ULFzaYkZbq2hWM9u3bx5w5c5g8eTIXXngh1113HQCfffYZp5xyCv/97387pJAi9bkcNoryMxg3PI8BBRn4g2HKq/0EQ104rsUwwFcJ+zbAvo0Q8oEr0wpFSgf2p2t2cMcHpHVdGpB8gTBlVT5UVeGggdmMGZxLdoazd431EiJFLV68mKlTp8Zag6ZOncrcuXMbHHfxxRdz1VVXsXjxYqZMmcKcOXO44YYbSEtLY9WqVUydOpUPPvggdvy8efMwTZOpU6dyxx138Ktf/Yrc3FyA2PMnn3ySo446ih/96EesWbOG5557LraGEcAFF1zAvffeC8B1113H1KlTU2ZRx3hJD3TYv38/06dPZ/fu3eTm5tKvXz/WrFkDwNixYzn66KO56qqr+Otf/8rBBx/cYQUWqc1h1yjsk0ZelpuyKut2IzX+EGlOO05HJ60NZITBV2WNAQoHwO60WnY6WzQg6SErIFWVQGaB9dqdMAbJHwjjDYRIc9k5aFAOWWkShoToaW644QZuuOGGFo+z2WzMnj2b2bNnJ2x/7733Gj1+4sSJvPrqq01e7/zzz+f8889v9jVffPHFFsuVCpL+7btkyRIcDgfPPvssRx55JEBsFeycnBzmz59PdnY2TzzxBIsXL+6Y0ooDRnQ17bwsF+XVAXbtr6Ws2o/bYcPdUatp6yHwVljT6qMzzLoiENWXEJC2W+XJyAdPdocsFOkPhKmNBqKBOWSlSyASQoimJP0O88EHH/Cb3/yGCRMmNHnMBRdcwAUXXJDsSwiBpqnkZbvJyXRZq2mX1lJW5cfl0HA7bcmNhwkFrBlmNfus8UQOd8szzLqCZgd3diQg7Yisg1RghaYkApI/GMYbCON22hg5MIfMdGfPnvknhBA9QLu60lrqIktLS6O0tDTZlxAiJn417WqvtZp2eU0Ah00jzdXKgBT0Qm2Z9YECTk/PvHVHtAUpHLRmxFXtbVNACgR1av0hXE4bw4uyyM5wSSASQohWSjoYZWdns3btWsaNG9fkMd988w15eXnJvoQQDaiqQla6k8w0B9XeEHtLaymv8WPXtMZX0zZNCNZag5t9ldYgamc69IbFyWwO6yMchLLtYGs+IMUHomFFWeRkSiASQoi2Svrd4ZhjjuHmm2/ms88+a3T/1q1bueuuu/jRj36UdOGEaEp0Ne2DBuVw8NA8MtMdVNYEqKwNYBimdVNXX5U1u2zfRgjURmaYZfSOUBTP5ogMyNasgLR3nbX6tmHN2AuEdMqq/eiGwbCiLA4Z1oe8bLeEIiGESELSLUbXXXcd06ZN49JLL2XgwIGMHj0agFtuuYWdO3fy1VdfkZOTwzXXXNNhhRWiMeluO+lF2RT2CVFSWk3p7r1ovv24lRCa02UFolRYmyehBWkrQcWO156LPSOXYf0zyclwoWm9LPQJIUQPk3Qw6tevH3/+85+ZM2cO33//Pdu2bQPgH//4BwDjx4/n/vvvb/TGdEJ0NDMcwu4voyC4lyyPjyqbi3KvEzNo4lFB64FDiZIVwobXdOMwdYq0MjIcYZyqDVVxdnfRhBCi12vXvOfhw4fzyiuv8M0337B69Wqqq6vJyMhgwoQJjB07tqPKKESTjFCAcHUZ4fI9mKaB6vTgyUnDA+SGDSqr/eyv9GMYJh6XHZvWe1uOQmEDbyCM3aZSlJdOZroDTVUxQn6CezYTdriw9emPLS0LpScOKhdCiF6gQxaEGT9+POPHj29039y5c1m0aFFHvIwQMUbAR7hqH+Gq/ZgmaK40lHr3L3PYVPrmeMjJdFFZE2BfhY9av4nbacNh6z1dTiHdwOsPY7MpFOalkR0JRFGq3YVqd1kBafcmCUhCCNEOSb87RBdzbElzK20K0RamaaL7avDv2YRv+/eEq0pRXelWAGjmpq42TaVPlpuDBmZTlJeGrhtU1QYJdOXtRpIQipQzGNYpzEvjoAHZ9Ml0JYSieKrdhS0jB1SF4J5N+HesJVxTjmn07HoKIURPknSLkWmahMNhbLbGL7Fr165G7+8iRFuZpoHhrSZUvhfdV4Wi2dE8mShtvH+ZpqrkZLrITHdQXRtif6WPytoALpsNp7PntKyEdRNfIISqKvTr4yEr3YmtDYOqYy1IQT+B3RtRnW7suf3R0rLa/DUTQogDTbt+S15//fWEww1vfPnSSy9x1llnsXLlyvZcXhzgTEMnXF2Of/ta/LvWY4YDaGnZaO70dr3Ba6pKdoaTof2zGNQvE8WmUFkbxBcIY5pmB9agbcK6SbU3SCAUJj/Xw4gB2fTJcrcpFMVTHS5s6TlgQmD3BvzbIy1IptHBJRdCiNTRrjFGTqeTG2+8kcWLF6NpGiUlJcybN48PP/yQtLQ0Fi1aJK1Gos1MPUS4ppxw2R6MUBDV6bbe4DuYpipkehyku+x4/SH2V/qp8oawawoup63hYpGdRNdNav0hNE0hP9dDdhtbiFqiOlyojvgWJE+kBantrW5CiM7l9/t54YUX+Mc//kFJSQmmaeJyuRg6dCiTJk3i1FNP7bLZ3pdccgnFxcVUVlayaNEizj333C553e6WdDD6wQ9+wEMPPcSNN97I7NmzOf7441m0aBGVlZVMnjyZX//61xQWFrJz586OLK9IYXUzzPZiGjqq04PN1fn3MFNVhXSPgzS3HW8gTGmFj2pvCE1VcLs6LyBFA5GqWoEoJ6NjA1F9dQHJR2DXelRXmgQkIXqQcDjMZZddxu7du3n44Yc5/PDDURSFkpISfvvb3/Kb3/wGRVG4+OKLAXj00UdZsmQJ7777LgMGDOjw8ixdupSVK1cyY8aMDr92c6644gp2797N+++/36WvG5V0MFq6dCkAv/nNb7juuuuYO3cuLpeL22+/PeGLOGvWrPaXUqQ0I+gjXLWfcOV+TNNAc6U3O5i6syiKQprLTlo/KyCVV/oprwlYAclp67CVpHXdxBsIoyh0SSCqT3W4UR3uuoDkTseeUygBSYhu9t5777Fq1SruueceJk2aFNuen5/PPffcwzfffNONpTtwtPvdx2az8bvf/Y5Zs2ahKAqXXHJJwv4xY8awZs2a9r6MSEG6v5ZQxV706nIURUV1p/WY6eUepw1Pfjp9sl2UV/kpqw6goOBx2tCSXAtJ1028kRaivtkusjNc2Ltx2YDGApIjtz+qJ0MCkhDdYPPmzQD06dOnwT5VVZk5cybZ2dldXKoDT6uDUUvT7o8//nh+85vfcOONN3Lccce1t1wiRZmmie6tsgJRbSWKZrNmmPXQ+5e5HDYK89LJzXRTUROgrNKPCW0KSPGBKC/bTU5m9wai+mIBKeDDH+lik4AkRNeLjh1atmwZxx57LGq934vTpk3DNE28Xi8nnXQSpaWlAPzkJz9Biyzv//DDD/Pvf/+bV199lfLycmbNmsV1110HwCOPPMLf/va3Btuj3nnnHZYsWcK2bdvIzc3lpJNOYsqUKU2W96233uJPf/oTW7ZsAeCggw7iiiuu4Nhjj40dc+KJJ1JeXk5NTQ1//OMf+fjjj1mxYgXV1dVMnDiRBQsWUFRUBMDatWuZOXMmFRUVGIbB1KlTY9d5//33cTgcSXxV267Vwei2225DaWKshWmaKIqCaZq89dZbrFixImG7EKZhoARqCOwohqAXxe5ES8vuNd8fTodGQW7dYpGllT6MgInLacPeRDeY1WUWQsEKRNmZrh69sKTqdKM66wKSFhmDJAFJ9DSmoRPcuxUzHEjcbpoE/X5Ul6tbfrcoNieOgsFJt3wfe+yxpKens2LFCqZNm8ZFF13EiSee2GgL0ttvv82SJUtYsmQJf//73xPGGB155JFcfPHFnHDCCQnn3HTTTUyfPr3BdoB//etf3HjjjUybNo2//vWv2O12Xn/9dR566KFGy/rss8+yaNEifvWrXzF9+nQMw+Dxxx/nF7/4Bb/+9a+ZNm0aYIWtV155hblz5/Loo48ya9Ysbr31Vnbs2MGll17KtddeG2t4GT16NB999BE/+9nPes8Yo/vuu69NFzdNkzvuuKNN54jUYuphwjUVBEp3olXsxiy0bnraWzlsKn2z3eRkOK3VtCt9eP0h3E470XxkGAY+v44J9MmyWoh6ciCqry4geRMCkuns/IHwQrTE1EPsen4+gV3ru7sojXL2P4j+M+5G0extPjc3N5clS5Zw2223sXbtWu68804WLFjAhAkTOPPMM5k2bRput7vDy6zrOvfddx9ut5t58+bFXuOcc87hv//9L8XFxQnH79q1i4ceeojjjz+eiy66KLb9+uuv55133uGBBx7gjDPOaNDCM27cOH74wx8CMHDgQM4880wef/xxduzY0SmDx5PVpmAUTYBtcfvtt7f5HNH7GeFg3T3M9DDYXZiudFSHq7uL1iGiq2lnZziprg1SUm4FJG/AwBvQ6ZvtITvDidPeM8ZMJUN1elCdnlhAwuFBCdZ261pPQoQqSnpsKAII7FpPqKIER5+ipM6fMmUKb7/9Nm+//TZvvvkmH3/8MatWrWLVqlU89dRTPPHEEx0eIr777jv27t3LscceS1pa4h9AU6ZMaTCUZsWKFYRCIY4++ugG1xo7diwvv/wy3377LYcddljCvsMPPzzhef/+/QHYu3dv7wxG//nPf5J6gbVr1yZ1nuidrBlmpYQrrPU3NFcaituObqTmooLWYpEuMtKcVNb4qCnXGFGUhcvZ9r8We6poQAr5atDKdxLYtQ4lbwCqO6PXdIWK1GHPzsfZ/6AeG46c/Q/Cnp3frms4HA7OOOMMzjjjDAKBAO+//z5PPvkk3333HfPnz+eZZ57poNJatm/fDtDo+kgFBQUNtkUHif/2t7/l97//fcK+UCiEx+Nh3759Dc7LyUlcj85ut35PNrZQdHdqdTBq7IvTGjNmzOD5559P6lzRexj+WkKV+whXl6KgoLrTe8wMs66gqQpZ6S6y02zYe3ErUXNUpwfTmY4ZDuHfUYzmycSeWygBSXQpRbPT/9J7mxxj5Pf7cfXSMUaNcTqdnHrqqRx33HGcdtppfP311/h8PjweT1LX68gW33nz5nH22We3+vj6g8l7qg5ZLKa2tpaqqqoGX3DTNPn888874iVED2SaJoavpm6GmaqhuXvuDDPRARTFakFypWEGffh3rkNzZ0hAEl1KUTWchcMabDdNE8PrxeXx9MrvxX/84x+8++67LF68uME+p9PJ2LFj2blzJ36/v8VrNdUaE53JFm/gwIEAlJSUNNjX2LahQ4cCVhdYfYFAgC+//JLx48eTnp7eYjl7onYFo3//+9888sgjrF/fM5s0RecwDR3dW024fA+6vwbF5pDFAQ8wiqKgOD0oDnckIBWjubMiASm9V74pCdHdwuEwX375ZazVK55pmmzcuJH+/fvHuqSig6Sj4efdd9+lpKSEn/70p+Tk5GC329m1a1fCdb788ssGr3vIIYdQWFjI559/Tm1tbcI4o08//bTB8aeccgoPPfQQb7/9NldeeWXCvtdff50HH3yQDz74IImvALF6xQe6p59+mjFjxjS7dEBHSvqd7NNPP+Waa67BZrNx1llnYZom55xzDueccw6nnnpqbFDVGWec0WGFFd3L1MOEqvbj37aGwO4NmHrYuqmrK01C0QFKibQgaWk5GCE//p3FBHauR/dWyyBtIZKwb98+Zs+ezaZNm2I/Q3v27GH+/Pls3LiRW265JXbsQQcdBMD69evRdZ1nn302Nv7H4XBwzDHH8O9//zs21vebb77ho48+avCamqZxxx134PP5uOeee/D5fOi6zj/+8Q/++9//Nji+sLCQm2++mW+++YbHH3+cYDAIwMqVK3nggQeYM2dOu9YcGjZsGGVlZZSWllJWVsYf/vAHamtrk75eWylmkr+9fv7znzNs2DDmzZsHNFzhOhwOM3fuXIYNG8bVV1/dMaXtZl6vlzVr1jBmzJik+3ebous6X331FRMnTowt1NVTmOEQ4ZoyQmV7QA+hOD2odmebrqEbBuuKixk5ahRaina1pXodW1M/0zQxAl7McNAag5TTe1qQevLPYEfpTXXUdZ1169YxcuTIVpc1uvihp5d2pVVUVPD222/z4YcfUlxcTE1NDcFgEKfTycSJE7nssss4/PDDY3UEuPvuu3nrrbcA633417/+NXl5eQCUlZVx991389///heHw8HUqVO59NJLOfvss/F4PHg8Ht56661Yl9e7777Lo48+yrZt28jOzuboo4/mhz/8Iddeey3p6enk5OTwzjvvxMr7zjvv8Mc//pFNmzbhcrno378/l19+OSeeeGLsmAsuuIANGzZQU1NDVlYWxxxzDA8//DCXXHIJ33//fYPtpmmyfft27r77blavXo3dbuekk05i/vz5Tf6btuZ7pS3v30kHoyOOOILXXnuNwsJCoPFbf+zatYvLL7+cN954I5mX6HEOtGBkBP3WlPuKvZiGYbUM2ZKbbZXqoQFSv45tqV9CQErLwp7TD9XVswNST/wZ7Gi9qY4HYjBqjVSvYzL16+hglPQYo2AwmLAap8vloqqqiszMzNi2zMxMduzYkexLiG5iBLyEK/cRrtqPiWIFom64qavovRTF+r4xzcg6SDuKe01AEkIc2JL+s7awsDBh0HVRUREffvhhwjH/+te/yMrKSr50osuYponuq8a/eyO+bd8Tri5DdWdgS8uSUCSSFg1IWlq2dauRHcUEdm9E99V0d9GEEKJRSb/jHXroocyfP5977rmHgw8+mGOOOYZ58+bx7bffMnjwYIqLi/n73//O8ccf35HlFR3MNA0MbzWh8j3ovmoUzY6WliWDqUWHSmhB8tfi37EWLS0be04/NHfvnNIrhEhNSQejs88+m9WrV/PEE0+wePFirrjiCpYvX84zzzwTu6FsZmYmv/zlLzuyvKKDmIZOuKaCcMUejIAPtZfd1FX0ToqioLnTrTFIEpCEED1Q0sFo8uTJ/POf/4w9z83N5dVXX+Vvf/sbu3btorCwkHPPPTfpFbNF5zDDIcK15YTL9mCEg6hON7b0nJZPFKIDNRqQ0nOsgOSSm9UKIbpPhw4eyc3N5aqrruqw633xxRcsXryYDRs2oKoqRx55JHPmzKFfv35tvta3337L9OnT6devH++9916HlbG3MEKBupu6mgaq04NN3oBEN6sLSAaGrwZ/zRoJSEKIbtUhA0l8Ph9ff/017777LmAtCd5en376KZdeeimHHnooH374IW+++SaVlZVMnz690ZvTNScUCnH77bej63q7y9XbGAEfwX3b8G/7jlDZLisQpWWj2pJffEuIjqYoKpo7HS0tywpI29fi37MJ3d91i7oJIQS0Mxjt27ePOXPmMHnyZC688EKuu+46AD777DNOOeWURlfMbI1wOMz8+fMZNGgQN954IzabjczMTO69917279/PI4880qbrPfnkk3g8ntiaS6nOmmFWg3/PJnzbvydcVYrqSseWli0zzESPVheQMjG81bGAZEhAEkJ0kaSD0f79+5k+fTr//Oc/SU9PZ8yYMbHly8eOHcvRRx/NVVddxffff9/ma69cuZJt27Zx8sknJ9yNt6CggIkTJ7J8+fJWLw++YcMGnn76ae69995ec2ffZJmmgV5bSWDnevw71mJ4q9E8mWiezAPqTvei90sMSFX4tq+RgCSE6BJJJ4UlS5bgcDh49tln+eSTT3jllVdi+3Jycpg/fz6XX345TzzxRJuv/dlnnwEwatSoBvtGjx5NIBDg66+/bvE6hmFw++23c/nllzN8+PA2l6O3MA2dcHW59df1rvWY4YB1DzN3uky7F72aFZAyrC42CUhCiC6Q9LvmBx98wAMPPMCRRx7Z5DEXXHAB33zzTZuvHb0JXn5+foN90W1btmxp8TrPPfccgUCAK664os1l6A1MPUSoch/+rd8R2L0RTBNbeg6qMzWXihcHrkYD0t7NGAFvdxdNCJFikh5wsn//fg4++OBmj0lLS6O0tLTN166psVbFdblcDfZFt1VXVzd7jW3btvHoo4/y/PPPY7N17LgaXdc7fCB39Hqtua4RCqLXlBEu34tp6NZNXdOyMLHuZ9UTGZF6GSk8AD7V69hj6udMA9MgVFVOqGI/toxcbNn5qM723b+wLT+DvVVvqqOu65imGftIEHluYsYeEzlOMcIY4ZD1x6GiAErkMUT+16tFvxZJ3ua0x0umftHvkea+r9vyPZ90YsjOzmbt2rWMGzeuyWO++eab2F1+u5Jpmtxxxx1cdNFFjB07tsOvv27dug6/ZtTq1aub3hkOovqrUH2V1i8Buwt62dihDRs2dHcROl2q17FH1c80UEKbwTQxXBkYnmywOdt1yWZ/BlNEj6ujaYJpWB+GjmIamKaBzZOJv7YGVVEA0/poxRtmwNvULWciYUlRMKOPY9sjn7uJz+fjrLPOIhQKUVVVxeGHH84TTzzRYGzs66+/zuLFi6mpqUFVVTweDwsWLGDq1KndVPLO4fP5Wn2sYRiEQqEO+75OOhgdc8wx3Hzzzdx9990cccQRDfZv3bqVu+66ix/96EdtvnZ6urUCrt/vb7Avui0jI6PJ81988UVKSkpis+Q62siRI1u8O29b6brO6tWrGTduXIO7Axv+WkIV+9BrykDpg+oe3OsGUxu6zoYNGxgxYgRqD7+rd7JSvY49uX6mYWD4a8AwsGXmYMvKR3W623SN5n4GU0VX1tE0dDB0TF3HNHXQdUxDxzTCmKEQZjiIGQ5h6sHIPhPQQLEBJoapsCOg4LBraKqWGFyaGipgmgQCAZxOZyPHmFa2iv/cGEUBRY20MqnEh6a6VqiO5/F4+Pjjj1m5ciWXXnopX375JX/+858brA14/vnn8+Mf/5iFCxdSVFTUae9z3cU0TXw+H263u9VDQnRdx263M2bMmCa/r71eb6sbNZIORtdddx3Tpk3j0ksvZeDAgYwePRqAW265hZ07d/LVV1+Rk5PDNddc0+ZrDx06FICSkpIG+6LbhgwZ0uT57777LuXl5Q3u01ZWVgYQS9Y33HAD06dPb3P5NE3rtF8q0WubponhqyZUsRe9thJFs2FPz0bp5TPrVE1D6+V1aEmq17FH1k9VIT3bCkjeKoI15diz8pIKSJ35891TJFNHM9KaY+qRwGMYmEYYDAMjHMQMBTDDYUw9iKmHrWNMA1DANIm2+SiKAqqGoqrWh90JTrUujEQYhokS8qJEjm1VGZW64NTwLTWuVajZ91sz0i1ngBmuv4eEgKSo1mvFddslhKgkKIpCZmYmYE1ymjp1KuPHj2/y2FQdT9qWukWPbe77ui3f70kHo379+vHnP/+ZOXPm8P3337Nt2zYA/vGPfwAwfvx47r//fvr27dvmax9xxBE8/vjjFBcXc/rppyfsKy4uxul0MmHChCbPf+qppxrdHg1KPXnla9MwCPuqCJXvwfDVoMg9zIRoNUVV0TwZ1s9RdTmhyv1WQMrOR3W0LSAdCKwWnLrWHCLPDT0EoSBGOAR6KNKyEwLTSGxsUQBTsYJLJOigaKh2p/W8V86KVSL/NROgzGh4ClufG7lGe8JTRkYGt956K9dffz2//OUvWbZsWawnRXS+do1KHj58OK+88grffPMNq1evprq6moyMDCZMmNCusT2TJ09m0KBBrFixghtuuCHWx7p3715WrVrF2WefTVpa3e0CSkpKyM3N7fBB1l1N8Vfj3/49ih5CdbiwZeR2d5GE6JUSA1LZAROQGrbq1AUeIxwiHPCjVuzCt82JigF62BrAHG3VidwAXFEVULS6wKPZUOyOBq06B6zI16Dl8GREWp6aC08qqHWDxE3TwDRNTj75JC688EJeeOEFFi5cyAMPPNBisbxeL0888QRvvPEGtbW1aJrGUUcdxfXXX09RUREAa9euZebMmVRXVxMIBPjggw+46667+Prrr1FVlRNOOIFbb70Vtzvx56S0tJTFixfz3nvvEQwGSU9P5/jjj+e6664jKyurTV++nq5DksT48eObbOpLhs1mY+HChVx++eUsXryY66+/Hq/Xyx133EFeXh6zZ8+OHfvGG28we/ZsjjvuOB5//PEOK0NXMw0DrXofFOVhk7uMC9EhrICUWReQqvZjz+qLLatvrwhIZvTNVbe6rKJdV/VbdUw9BOFIF1Z8q0500LIJiqphAIoeAkVBtTnB6e6VrTqGabC1cieBcChhuwmEgkHsDke3DKN22uwMzipCjbQSRaJTC+FJx9SJhSczFARMjICPW395I//78ktee+01jpl6FD/+8Y8j/7ZG5PTITDxFIRAIcNlll1FSUsLjjz/O6NGjKSsr45e//CXnnXceL774IoMHD2b06NF8/PHH3HbbbSxbtox7772XW265hSFDhvDJJ59w+eWX43A4uP3222PFLC8v54ILLiAzM5MXXniBAQMGUFxczHXXXcfKlSv529/+1iBI9WYdEoy+++471qxZQ01NDenp6Rx88MEtTuVvyZQpU3juuedYvHgxRx99NIqicOSRR/Liiy8mrG+Uk5NDenp6k7f7CAaDHHfccUDDMUbvv/8+DkfPumeYotm7uwhCpJy6gKQTriolVLkvEpDyUR0NlwXpTKZpNOi6Mg0dUw9bXVbhYGSsjjVmB0OPTEuP1MVq3GmkVceOYnc2PzHDMMDmQLU7eu14xbAR5lcfPMrG8m3dXZRGDc8ZxF0/vA6b2oq310bCk/XvoqCoGi6Xm0cevJ/zL7yIu+6+mwljD6GoqL8Vbg0dUw9hBH0oisIzf3qar7/+mnvuXsiog0ZgGjo52dksWLCAU045hYULF/KnP/2pQRHOOOOM2Jjdo446igkTJvDOO+8kBKPf/OY3bN++nWXLljFgwADAWoD55ptv5rrrruPFF1/ksssua8+XrUdpVzD66quvmD9/fqPTd0eNGsXChQvb1ZI0adIkli5d2uwxU6ZM4csvv2xyv8Ph4OOPP066DEKI1KGoWl1AqiwlXLkPWyQgkeQfJU226uhhq1UnHGqkVSdubZ5Iq4715qgljtVxuHrxWJ3OUVJb1mNDEcDG8m2U1JbRP6PhAsXJGD58OLfPvZX5v7qLW26fx/PPPh2bLacoke8N0+SNN98E4Nijp2KE6m7kPqAgjxHDh/Pxxx9Ttr+E7OxsFEWNDIyHww49NNbqBNC/f/+EhZkNw+DNN98kNze3QYNHdLmeDz74QIIRWGsUXXrppQQCAUaMGMHQoUNxu934fD42bdrE2rVrufTSS1m6dGmnrCUkhBDJUlQNLS0xICkZeRAOAomtOgnTzo34Vh1rqrkZig5KjrTqRIadxGZgtbVVRzQrPy2X4TmDemw4Gp4ziPy0jh0f+pNzz+W/n67kjTf/xR+eeJIrfv7/Eg9QFLZs3YbdZiO3T58G48AKCvJZv2EDW7dsIWvsWOt7NbIYcHa621pBXrGClk1TCYfDVoDHGltUVVWFzWZrdK0kj8dDRUVFh9a3uyUdjB5++GEGDRrEww8/zMiRIxvsLy4u5pe//CUPP/wwzzzzTLsKKYQQnSE+IIUq92Er24Zvi8camBxt1YktLqigYCa26qiatRyAtOp0GZtq4+4f3dDzxxh1sLvunM+3337HE08+xQ8OPyypayiKEteFan2FNFu0pdSMzbYDYq1O0c+FhYWsWP6P2Cy7aJCKXBjTMOpm3/Vy7Wox+stf/tJoKAKrK+2BBx7gZz/7WdKFE0KIrmAFpCxMhxvFZke12XvtGJwDgaqoDM0e2GC7CQT8fpwuVwrc/CNReno6Dz94Pz+9eAZ33PkrxkTWDowaMngwxevWUVZWRp8+fRL27d1bgqIoDBo0qJlXSFz9O9qq2adPHpkZGezbt8/68yC2xpN1S5YNGzcRDocZPWokVvcejYSn+DWken54SvonX9M0RowY0ewxBx10EHa7DCYWQvQSiooioUj0UGMPOYTZN17Prl27ee/9fyfsO+O0UwF4/z//Sdi+dds2NmzcyNSjppCdxLR6VVU57dRT8Pv9fPjRJ7Gwo6gqhgnXXn8jKz//om4hzsjsANPQMcMhjFAAI+THCPoxgj6MQOQj6Lf2hUPWxIPohIQecA+4pH/6x40bx5o1a5o95rvvvuPwww9P2LZkyZJkX1IIIYQ4oF02YwZHTz2qwU1WL51xCePHj+P3f3iC4mLr1hdlZWXcdfe9ZGdnM+/2uUm/5g3XX8eggQO5/8GH2LBxI2DdyP3OBXfhcrk4/7xz445W4sKT1siHGhmEFw1PwQbhSdFDjZajqyQdjGbPns2vfvUrPv/880b3r1y5koceeoi5cxP/MR577LFkX1IIIYRIST6fj2OOPZ7rb7yJPXv2cMyxxzN/wV0NjlMUhbt+dSf5+Yl3lXA4HDzz1JOc+eMzuO7G2Rz9o+M45yfT6ds3j5f++n8MjnSjlezbxzHHHs+bb70FwDHHHs///eWvVFRWNrodICc7m7/++XkmH3EEl195FcccezznTb8Qt9vNM398MmHB5dZpOjyhqLF1mrpL0mOMHnroISorK5kxYwZ9+vShX79+eDwevF4ve/bsobS0lBEjRjBv3ryOLK8QQgiRctxuNx/+u3W3q8rNyeHf777TYByVx+Nh9g3XM/uG65s8N79v3yZfp7nXz83N5c55t3PnvNubPCZVJB2MPvvss9jj/fv3s3///gbHrF+/vsG2nj7oSgghhBAHrnYt8Lh27do2nzO63kh6IYQQQoieIukxRj/4wQ+69DwhhBBCiM6WdDBq6VYdHX2eEEIIIURn65CbyMb74osvePvtt3G5XJx33nktLCglhBBCCNFzJN1i9O9//5sxY8YwZswYtm/fDsB//vMfZsyYwfPPP88TTzzBueeey9atWzussEIIIYQQnSnpYPTGG29w2GGHsWLFCgYOtJZmf+ihhwC4/vrrWbJkCQMHDuSJJ57omJIKIYQ48PSAlZBF79BRs96T7kpbvXo1ixcvjoWib7/9lvXr13P66adz9dVXA1BQUMBNN93UIQUVQghx4FAU67a9YV1H07TuLo7owcLhMKqqdlgwSrrFaM+ePQwdOjT2/K233kJRFM4777zYtlGjRlFSUtK+EgohhDjgKIqCw6ZQU1Pb3UURPVx1dTVOp7P7W4yys7PZtWsXgwcPJhwO8/rrr5Odnc2UKVMSCpuRkdEhBRVCCHFg6eOxs6e0FIfDgcftspqRmmEChmGgG0aDVaFTRarX0TRNq3663qqg4/V6KS0tjfVedYSkg9Fhhx3GggULuOyyy1ixYgV79uzhsssuQ427K/Xy5ctlVpoQQoikuO02ct0Ge3bvQm/FWCPTtLpVbDZbSxmq10r1OpomhEMh7K6SVgUjm81G37598Xg8HVaGpIPRtddey/Tp07nqqqswTZP8/HyuuOIKADZu3MiSJUtYsWIFs2fP7rDCCiGEOLBkuR1kuuytGoOtGwbr169n8EEHoalJjxTp0VK9juFwkI3F6xlx7Jktji1TFCX20ZGSDkbDhg1j+fLlrFixAkVROP3008nNzQWswg4fPpyrr76ac845p6PKKoQQ4gBkvfm1fJyJgoKJqiqoago2p5D6dVQVq36apnXboPt2LfBYUFDAJZdc0mD7sGHDmDVrVpPnvfrqqxKYhBBCCNHjdEs73Ny5c7vjZYUQQgghmtUtwciUBbuEEEII0QN1SzDq6IFSQgghhBAdIfWGtAshhBBCJEmCkRBCCCFEhAQjIYQQQogICUZCCCGEEBESjIQQQgghItq1wGOyZLq+SCWmaRKu3Edg/w5s+3YRSDPRXGmoDheqw43qcKPY7N1dTCGEEK3QLcFo2rRp3fGyQnQIMxwiuH8Hwb1bCJZsIVCyFTPgBcADlG/4oOFJmi0WlJRIWFIdLlSnByUWoOo9d0aPdaGo3bM0vhA9jWmamHoIMxjACPkxQ/7YYz3gw16ym0Aa2NKy0NwZqK40lBS8p5joPB0SjMrKyiguLqampob09HRGjx5NTk5Ok8cvWrSoI15WiC6h+6qtELTXCkGh0p1g6G28SBjDV4Phq0mqDIrNkRCUYgHL6W4YuBoc50RR5I1BdC/TNDBDQcyQHyMYsD6HApjByOeQHyPoxwwF6j7HhZ747ZhGk6/jBso3flS3QVFQXelWSHJnoHkin90ZaJ7MyON0VE8mqt3Z+V8I0eO1Kxht376de+65hw8//DChe0xVVX70ox8xd+5cBg4c2O5CCtFVTNMgXFFihaBIi5BeXdbdxcIMB9HDQaitTOJsJdIKFQlKzrgWq3rP48NVNGwpNrssynoAMw09ElLiQkzQ3yCsNBVi6oJQAOiGYRSmieGrxvBVt3ioYnOgejLiQlRm3WN3Rt0+V7q0QqWwpIPR5s2bueiiiygvLyc9PZ1Bgwbhdrvx+Xxs3bqV9957j6+//pq//OUvDB48uCPLLESHMUJBQvu3Edi71WoV2rcVM+hv9flaRi6O/CE4Cwaj5Q1iy/adDBlQiBIOYAR8GEE/RtCHGfBhBK3nZtAX2Rd97sUMhzqxliZm0Ice9KFT3vbTFTXWCpWmQ9nWj9Cc9bsE45+7UZxx46u0bumxP+CZerheaPETDvqw7duC1yyHcKBBy038sdFWnM793uxZzHAQvaoUvaq0+QMVBdWVFglNmQmtUNFWqWiQUmxO+cOil0n6N9aDDz6Iw+Hg8ccf54c//CFqXHo2DIN///vf3HXXXTz44IMsWbKkQworRHvptZWxlqBgyVZCpbuabZZPoGrY+xThyB+Ms2AIjvzBaJ7MumsbBua+Kux9itDa+Ndk7E0sWBeYjICv3nOv9YYVDVQBbyx4tblrr02FMzD8teCvRQOCtfvbdLqi2a0Wq7hWKLWRcVSJ460i++yuA+ov8+bGzzTWGlM/xMQHHfRwo6/hAao2dG29Wk1RUOwuVLvT+l6wO63nDmfD7Q4Xqt2FErfNtDnYtHEjQ/oXYPprMHzV6N4qDF8NeuxxNbqvusmvT6uYZlzX+O7mq2SzW+EprsUpofUp2r3nSpexhD1E0sFo5cqVPP744/zgBz9osE9VVY4//njS09O55ppr2lVAIZJlGgah8j2xQdLBkq3oNa1vMVGcHpz5g3HkD8ZRMARH3sBOm12maDY0dzq409t8bt2bqQ8jEGmhigaq+s+D/rjWK6vlygz5oRNnipp6CNMXalVXRmMUuzNuTFVcS1QrBrAr9q75a900Dcxw0AovQX+njZ/psVTN6oq1O62w4nDGQou1vS7MNDgmdqyr3d22umFgOtOx5w1o9o8T0zQxg370SBdbXWCqSQhPhq/a+qOgHcxwCL26FL26hVYorFaohBan2DioyBgpTyY40zr151W0IxgZhsHEiRObPebQQw/FMHrhD7nolYyQn2DJtkgQ2kpw37bIuIbW0TLzYi1BjoIh2LL69opBy4qioNgcYHOgebLafH50UGz9Lr9YoIp0CeoBL9Vl+/A4bJhBX6z1qi1f42SYoQB6KAC1FW0/WVESW6hiY6rqBSynC+wutKq9BHYA4UDvGD/TTlZrXv3WmPhA01SIiQs8Dlev6y5VFMX6PnC6ITu/2WNNQ4+0OFWhe6vrQpO3Oi5YVaP7qtrXCoWJ4a/B8NcQLm++FSpDtbHvu8x64al+oJJWqGQl/d08atQotm7dyogRI5o8ZsuWLYwfPz5h26uvvso555yT7MsKAVh/8em1FbHZYsGSrYTKd7f+LylVw5E3wGoJyo90iyXRWpMKFEWNDc4mvenZpLphUFJczMBRoxL+GjcNPdIN6K9rhWqyS9CXcJwR9LXzzaQFpokZ8KIHvLSmszENKP+u84rTUZTmupia2W7aHGzZvpPhow/G5nTLm2YrKKqGlpaFltb8Hx2maVoh3lfVSGiqe2z4qjD8XtoTpBUjjF5d1oqJIQqqy9NgHFTCmKhImFLsLhkLFZF0MLr66quZP38+DzzwQKMzz7Zv3869997LL3/5y4Ttc+fOlWAk2sw0dEJluwju3WqtHbR3K4a39TO0VFeaFYAKBluf8wb0ur9yeypF1dBcaeBKS+p8MxzCCMUHKGs8Vd2Yq/rjq+ICVsDXe7qeWjt+pl7XU/3jFLsj6ZbM6Dg41ek5oMZudQVFqZv9SVYrWqH8NQktUImtUVWxVilTb8/gdxPDX4vhr22xFUrR7A2WM6g/DkpzW916qR6ok35n+Ne//kVZWRmnnnoqhxxyCIWFhXg8HrxeL7t37+a7775j3Lhx/OUvf+nI8ooDhBHwWd1hJVsJlGwhtG9bm2bH2LLzI0FoCM78wWiZefLXUA+l2OxoNjuaO6PN55qmGRnbU9c6VTemql7ACtRrsYo8blEPGT8jUoeiamierBa7vutaoerGQoW9VezfsZUstz1ugHl0LFTyrVCmHkKvKUOvaXl5kthYqIRlDdITu/XcGdbPRC/8nk86GC1btiz2+JtvvuGbb75pcMxXX33FV199lbCtN36RROcyTRO9uizSEmR1i4XL99LqH3LNhqPvwMi0eatbTHV6OrXMomdQFAXF7gS7Ey2JBivTMCJjhnyE/bVs27SBQcNGYHN66oKPtCyKbpLYCtUXsFr9dmp9yW6sS9tfmzCQPNrylDgmqqrdSzDUtULtaf5AzVZvIc3GWqGsxz2pFapdP/Hvvvtum443TZOTTjqpPS8pUoCphwmV7iRQsjU2Y6wtK0Kr7oxYS5Ajfwj2Pv3lzUskRVHV2CBcJS0bfX9NUsstCNHdrFaozIQlRJpihPyRoNRwFl5dl14Vhq99rVDoYfSa8lbNBo62QqnONByqByN0BprmTv612yHpd5P+/ftTVFTU5vMKCwuTfUnRS+n+Wvx7t+Dc+j9KN71PaP+ONgy4VbDlFERagiKDpDNypeVRCCGSpNpdqFkubJFWqKZYrVDehgPKYy1QcWOhwsF2lSnaCgXgBKq/eIPco89r1zWTlXQweu+997r0PNE7mKZJuGpfbJB0cO9WwpUlgPXN3lIDrmJz4Og7qG6QdN9B1pRaIYQQXcpqhbK6vOjT/LFGKFCvxaluFl5Ca5S/plWzh9sbtNqjQ/ofVq9ezerVq6muriYzM5Px48dzyCGHdMSlRQ9nhkMES3cmLKLYlgXRtLSsWEuQo2AI9tzCHtXXLIQQomWq3Ylqd2LLzGv2ONMwMAK1jc/C81UT9lZTa6hkTj6ri0reULuC0aZNm7j11lv59ttvG+wbN24c999/P0OHDm3PS4geRvfVRFqCIoso7t/R6ttRmCjYcwsTF1FsZt0cIYQQqUVR1dhtURoTDgUpW/udNeC8myQdjPbs2cPFF19MeXk5Y8aMYejQobHp+ps2bWL16tVccsklvPzyyxQUFHRkmUUXse40vy8WhAIlW1q+uWIcxe60AlD+YGx9B7G1IsDIg8fKwFYhhBA9VtLB6LHHHiM3N5elS5cyfPjwBvs3btzIjTfeyGOPPcbChQvbVUjRNYxwkNC+7dbaQZEWITPoa/X5WnpOrCXImT8EW06/2CJyumFAdXFnFV0IIYToEEkHow8//JDHHnus0VAEMHz4cO677z5mzZqVdOFE59K9VbGWoODerYRKd7Z+FWFFxd6nf8LaQS0tmS+EEEL0dEkHo9LSUkaOHNnsMaNHj6asrOVVNEXnMw2DcMXeSEuQFYRas8JplOJw48gfhDOymrQ9byCq3dGJJRZCCCG6XtLBKDc3l/Xr13PwwQc3eUxxcTF9+rQwx090CiMUILgv7k7zJdswQ624/UGEltGnbhHFgiHYsvN7xZ3mhRBCiPZIOhgdffTR3HrrrTz66KMMGTKkwf7Nmzczd+5cfvjDH7anfKKVwjUVsenywb1bCJXtbn23mKph71NUt4hiweCk7lslhBBC9HZJB6NZs2Yxbdo0Tj/9dMaMGcOwYcNwu934fD42btzI2rVrycnJ4dprr+3I8gqid5rfHQtBwZKt6LUVrT5fdXpig6Rjd5q32TuvwEIIIUQvkXQwKiws5Pnnn+fWW2/lu+++47vvvkvYP3bsWO6///52TdX/4osvWLx4MRs2bEBVVY488kjmzJlDv379Wjx3/fr1vPDCC3z44YdUVlai6zqjRo3i4osv5rTTTku6TN3BCPoIlmyrC0L7trVpVVBbVt/YneYd+YOxZfWVW2oIIYQQjWjXAo8jR45k2bJlfPPNN7GVrzMyMhg/fjzjxo1rV8E+/fRTZs6cycyZM3nmmWfwer3cdNNNTJ8+nZdffpm+fZu+x0tpaSk//vGPOeSQQ/jDH/7A8OHDqa6uZtGiRdx4441s2rSpx7ZkmaZJuLos1hIU2LslcgfjNtxpPm9AQhDSXEncdlwIIYQ4ACUdjJYsWQJY4ejkk09m/PjxHVaocDjM/PnzGTRoEDfeeCOqqpKZmcm9997LcccdxyOPPMKiRYuaPN8wrLE19913X2w5gYyMDO666y4++eQT/vCHP/DTn/6U3NzcDitze5imQc23H+Da+DH7v1+O4atu9bmqKz0WgBwFQ3D0KZI7zQshhBBJalcwysvL48orr+zI8gCwcuVKtm3bxlVXXYUat0pyQUEBEydOZPny5cybN4+0tMZbQjweD7NmzWL06NEJ2+12O2PHjuXtt9/m+++/5+ijj+7wsiej4pNllP/7L9iBloZL27ILYkHIWTAELaOPdIsJIYQQHSTpYKRpGkuXLu2Ue6F99tlnAIwaNarBvtGjR/Pll1/y9ddfc9RRRzV6flpaGtddd12j+8LhMABZWT1nMcJQ6a5GtyuaHXvfgZFFFK1ba6hOTxeXTgghhDhwJB2M+vXrR3Z2dovHff755/zgBz9o07U3b94MQH5+foN90W1btmxpMhg1Rdd1vv32WwYOHMghhxzSpnM7U/aUcwjs3UKgogR34TBc/YbiyB+CvU9/udO8EEII0YWSDkbnnHMOr732Gpdddlmzx82YMYM1a9a06do1NTUAuFwN764b3VZd3fpxOFH/+te/2LdvH7/73e8SuujaStd1dL11d5RvDS23P/mX3Mvaf/+TgtGHoNmtqfMGgNHKtYh6OCPy9TI68OvW06R6HaV+vV+q1zHV6wepX8dovTryPbat10s6GJ111lnce++9bNq0iVNPPZV+/fo1CDKmaWKarZxN1clKS0tZtGgRF154Iaecckq7rrVu3boOKlUc08AGbNy4AVJ4hekNGzZ0dxE6XarXUerX+6V6HVO9fpDCdTR0FGD16tXdVoSkg9Epp5yCoiiYpslLL73U5HHJDAxOT08HwO9veAuL6LaMjNavzOz1ernyyisZO3Ysd955Z5vLU9/IkSPxeDp2rE84FGLtv7cwfPiIWItRKjF0nQ0bNjBixAhULTW7B1O9jlK/3i/V65jq9YPUr6MeDLBp/VrGjRuH1oH183q9rW7UaNe87nPOOafZ/aZp8tprr7X5utEB3SUlJQ32Rbc1dhuSxvj9fq666iqys7NZvHhxh3yhNU3r0H8wsG7yCqBqGlo7uvl6ulSvH6R+HaV+vV+q1zHV6wepW0cz8t7a0e+zbblWu4JRc2sJRb366qttvu4RRxzB448/TnFxMaeffnrCvuLiYpxOJxMmTGjxOsFgkGuvvRZFUXjsscdwOp0A7Nixg7S0NHJyctpcNiGEEEKkrqTj5iOPPNKq455//vk2X3vy5MkMGjSIFStWxBZrBNi7dy+rVq3ijDPOSFjDqKSkJDYNPyoYDHLdddcRDAZ5/PHHE8Y/LVmyhPfff7/N5RJCCCFEaku6xSjakrN69Wpee+011qxZE7slyJgxY5g2bRqHHHIIRxxxRNsLZbOxcOFCLr/8chYvXsz111+P1+vljjvuIC8vj9mzZ8eOfeONN5g9ezbHHXccjz/+OGCtVXTTTTfx0UcfMWPGDP74xz8mXH/NmjVJlUsIIYQQqa1dXWn33XcfS5cubTDz7Msvv+Qvf/kLl156KbfeemtS154yZQrPPfccixcv5uijj0ZRFI488khefPHFhPWNcnJySE9Pp7CwMLZt/fr1vP322wA8/fTTSb2+EEIIIQ48SQejZ599lueff56xY8dy2mmnMXToUNxuNz6fj02bNvHGG2/w7LPP0r9/fy655JKkXmPSpEksXbq02WOmTJnCl19+mbBtzJgxFBcXJ/WaQgghhDhwJR2M/vrXv3LxxRczb968BvuOP/54Lr/8cu6++27+/Oc/Jx2MhBBCCCG6UtKDr3ft2sU111zT7DHXXnstu3fvTvYlhBBCCCG6VNLBKDc3Nzb9vSlOp5O8vLxkX0IIIYQQokslHYxOPPHEFtcoWrZsGWeddVbCthNOOCHZlxRCCCGE6FRJjzE6//zzmTNnDt9++y2nnXYa/fv3x+Px4PV62bVrF2+88Qb79u3jzjvvZNeuXYC1Enb0sRBCCCFET5N0MDrnnHNQFIX169c32nIUncJ/6qmnJl04IYQQQoiu1Kn3Sqsv2XunCSGEEEJ0hU6/V1p9ydw7TQghhBCiKyQ9+DqZUNSe84QQQgghOlvSwWjatGldep4QQgghRGdLOhgJIYQQQqQaCUZCCCGEEBESjIQQQgghIiQYCSGEEEJESDASQgghhIiQYCSEEEIIESHBSAghhBAiQoKREEIIIUSEBCMhhBBCiAgJRkIIIYQQERKMhBBCCCEiJBgJIYQQQkRIMBJCCCGEiJBgJIQQQggRIcFICCGEECJCgpEQQgghRIQEIyGEEEKICAlGQgghhBAREoyEEEIIISIkGAkhhBBCREgwEkIIIYSIkGAkhBBCCBFh6+4CCCGEEO1lmgamHgY9jBkOYWoaKAooCooibQCi9SQYCSGE6BFM0wDTBMOIPDYwjcg2U8c0AMVEwdqkKGBam0BVMU0TxdQxwyEMPQTR62Fixr2OAlhXAcWst0+J/k+NC1ZK7DGoic+tE6xtIiVIMBJCCNFhTNO0AolhRB7rYJqRgBMJOkTCiUJCyAEFFBVF00Czo2gOVJst9lzV7KCqVguQqqKomnW8qoGqohsm4UoT95CxaJpWF7TMaFms0JXwvMHjSMtTtA6GbpXZMCLhTMfUrc9WUiMufNVFroZBzPpfk8ELJbGFKy501R0juoIEIyGEEAli4SYu0NS13kSDRbTFRokkG+tcJfpGrtlA1VBsThTNZj3XbKg2OygaiqrGhRwtMegkGQIUU098rqiRcml0Rqyo+zolhitMM+FrmPB1xMQwdCtoGWFMXa/72hrR4BW2Qp1hHR+7BmCYBkqgFr22AjPSRagoitUmZhJ73jBYxYUtRYn9O0l3Y0MSjIQQIkXFWmkib7KGHkYJ+dG91aCYkXCjWG/iSl07R+xNU9WsUGOzR8KNHSIhR1G1uBYbK+SganWtOQfAG60VQDQ6P3hFgpFpoIfDhMtDuIpGo6ok7KsLYeHIv32ktUvXMU090gJWt93UdWLBq6nuRrORFrBoq5eiktCilSLdjRKMhBCiB0sINwldVJHH0ZaCaLCJtRpgvXGpGopmBRzV5sBwpGHPzkezO6xWnLiuKEVV44KOdkCEm56sLnhFngOmagObE9XlQdO0pk9upQbdjUYj3Y+t7m7UIyE8+e5GIxxud53aS4KREEJ0sli3iGlG/nI364KOaWAadV1RsXcLJa7lJhJeFJsd7BqqGteKo0a6rOq32MRCTt2bp67rGHuqsOcWdsibquj9elp3o66H0cv8nVCS1pNgJIQQrdDqGVNxDTjxM6ZAiY2zURw2VM2GYrNZg4pVW8J4m4YhR0KM6J3a2t2o6DqmM72zi9UsCUZCiJQR+4s0YcBqI9tixxH5bKDrkUGtNRXW1O9GZ0xFBxXbUGyuuhlTqtVNFT/epv6MqfYMKhZCdB0JRkKIThM/IDQaRMxIELG2AcQFlbgAY0aDi9LIAFBFQak/WDTaTBMNH9EgoloL/SmqzfrLVVVQE7qbrOCimqDvq8bRbyg2m73DZ0wJIXoHCUZCHCCskAINWk5IDCWNtbqA2UiLSvwsprhp25HnCSEFJWH9GVRbJLSoKEo0uMS1rERnPIE1gDg26yUyHkKJm/XS1HTkNg4c1nUd07UTW3qOjL8R4gAmwUiIbtBsl0/9VpPYc4i2tEQbU4h298SuXBdOYluUuH3RIBELKVb/v6LFzUaq1/2DqqKqGrphou/34iwchqbZ4kKIGglCamIoUYgLNTK7SQjRO0gwEiIJphlZGySyIBuGjh4OQ7AWvbYy0ppiiS2+Fn0e/X98l090HRgiq/5Gu3dii+ApEDdAV2kQQuqtkNug9SS65ghJdwcpuo7pSkdLy5YWFSFEypJgJEQ9phFdCC2ySJoRjk2njg3GjYw5UexOVFcait2JptowSr04C4fHWlQSFzlTG1lxVsasCCFETyLBSBwwomtmmLoeW3ofQ69rzYkuJaOqKJrdCj12h/XZ5oit9hu/8m88PTLNVPNkSouKEEL0UhKMREow41ZgrbvfkBGZ0BQZEBxtobE7UJwuNJsTxe60FspTo/dyitwCQcbECCHEAUmCkejxEm6uGA0+pmEtpKdE50MpVkuOzYHqckUCT93NK6O3RIjNhhJCCCEaIcFIdKuEsKPrkRWE48bzYC1Zr8RCT1pC11bCDS01+XYWQgjRPvJOIjqFdTNCPTZ4WQ+HY2vgmJrayHgeF6rbjuJwoWr2WEtP7O7ecksEIQQQ0kP4Qn58YT++kB9v7LGP2qCP0pp9HKwfjFtzd3dRRS8lwUi0Wd14nrD1WbcCkKLUra9jzR7XIuN53NjcdvT0PJz9htXd1VvG8whxQDBMA384YAWakB9vyBcLNtGQ4w1Z4cYXDlif47b7Q368kePDRst3Xy/7Xw2zjrys8ysmUpIEI5Gg0fE8hlG3iGD0jt+xri13ZPaWq651p5HxPLquY+7Yj5Yua+AI0RuYpknICMdCijfkxx8LMH58YV/DbZHtvpAVgrxh61x/ONClZd9Uvq1LX0+klh4djL744gsWL17Mhg0bUFWVI488kjlz5tCvX79WnW8YBk8//TQvvfQSVVVVZGZm8pOf/ISZM2daC+cdYJocz0PcncBlPI8QvZphGHWtMQndTT5qA142VGxi4/e78evRFpzEVhpv3Lm6oXd3ddrMrTo5d8xp3V0M0Yv12He3Tz/9lJkzZzJz5kyeeeYZvF4vN910E9OnT+fll1+mb9++LV5j3rx5rFixgqeeeopDDz2Ur776iiuuuILNmzdz3333dUEtukb98Tyxz7EjFBTTtMbz2BzWXcE9kfV5NEdcC4+M5xGiO5imSVAPxXUv+eLGzsR3N/kSAk+sayrswx8K4A37CbSmdWZ/59eprRRFwWNz4ba7cduc1me7C7fdhcfmwmV34bG7cNus7R67C5ctss1unedU7az7rpjDBh7W3dURvViPDEbhcJj58+czaNAgbrzxRlRVJTMzk3vvvZfjjjuORx55hEWLFjV7jZUrV/Lyyy9z0003ceihhwIwceJErrzySh566CGmTZvGD37wg66oTru0bjxP/Po8HmsMj91VN1U9fo0eGc8jRIfRDT0hpCR2LfkaHSNTN37GaqWJbjdMo7urkxSHZsdtd0dCTV1IscKNC4/djTu6L/LZEz0mbptTc7R7KQ1d11Hld5xopx4ZjFauXMm2bdu46qqrErq8CgoKmDhxIsuXL2fevHmkpaU1eY2//e1vAJxyyikJ20855RQeeughXnzxxR4ZjIzaSnRNa2I8jwfF7kCNhJ74MT1duT6PaZoYpmF9pu6x9dzAME3M6P7ItnBYpyJUzZ6afSiqkniN6OPInd0NM3INjHrPE8+p/zxWDuLOiVy37nndazX2vO4aRuR5fF0MjLgy1q+/YRiUlZfxyWffoKiRW39A7HPs35O4u8/T1Dbq9il1j+OvVbcterCSeK3YtuhDJbYncVvca8WKUFe26CGmYbKndA8bvt+FFvu5rH/9+tdq/fXjy1b/e9k6rqlrJX4lEq/feN0bu75pmmyp2sLeDZUE9GBiC029VhpvZBZUUA/RG6mKGmuJiQ8x0bCS2EJjbW/YQmPt06SFWaSYHhmMPvvsMwBGjRrVYN/o0aP58ssv+frrrznqqKOavYbL5WLw4MEJ2wcNGoTH44m9Rk8QCAd5Y/17rA5uJKukFBQFIzLmx4S6N2OsN+noG3r9N+/Y52bevOu/wSc+T7xGQiiIu0a7bO2Ir1gPV93dBehk5au6uwSdq6S7C9A0p81Z1xJjcycElFi3U3wLTWRftIXGodpZ//06Jh16ODZbj/z1L0S365E/GZs3bwYgPz+/wb7oti1btjQZjLxeLyUlJQwcOLDRVpT8/Hy2bNmCz+fD7e7+tS5e/v4NXl3zlvXEdyAkByEOHJqiJrTEJIaZJsbL2KItNE4r6EQet7d1Rtd17LL6uxDN6pHBqKamBgCXy9VgX3RbdXXTf5ZH9zUVeuKvkUww0nUdXe+42RqV/lRvYuj5ol01CgqqoqIq1nNVUWP71AbPI8dFzgEIBAI4nc7YdWM3qKXunm1m/F4z/rjIfrPxc+Of121r6lqJ22LXjitH/LGNb0s8D0wMw6zrWqt3Xv0y93Yum7PB2JjoZyuw1A0Ejm2zNRw702FBxKTdv3ei53fk76+eJNXrB6lfx86qX1uu1yODUU+3bt26Dr3eaHMwO9J2UhqsiHuDBgUVRakbWxJ947beiOvGVFhv1jQ4JvE5sTfv2Bt7I9dt6vVioSGhfI0f0/B1o48Sy17/uPrnx2qVUNaWy0dc+Rp/rXqviyJ/QXeCxsKW9TjxkZW/6ofG+ueY1Dut6f3Ui3MNAl5zZQKnYseu2loexBuOfPijGwyCeAnipbL5M7vd6tWru7sInSrV6wepX8furF+PDEbp6ekA+P3+Bvui2zIyMpo8P7rP5/M1ur8112jOyJEj8Xg8SZ3blKn6kaxevZpx48al5AKIuq6ndP0g9eso9ev9Ur2OqV4/SP06dlb9vF5vqxs1emQwGjp0KAAlJQ1HQUa3DRkypMnzPR4P+fn57N+/H9M0G7QGlJSUUFBQkPT4Ik3TOu0bsjOv3ROkev0g9eso9ev9Ur2OqV4/SP06dnT92nKtHrngwxFHHAFAcXFxg33FxcU4nU4mTJjQ4jV8Ph9btyYOZt6+fTterzf2GkIIIYQQUT0yGE2ePJlBgwaxYsUKDKNu0bO9e/eyatUqzjjjjIQ1jEpKSgiHE28sOH36dADeeuuthO3/+te/EvYLIYQQQkT1yGBks9lYuHAh27ZtY/Hixei6TnV1NXfccQd5eXnMnj07duwbb7zBMcccw6xZsxKuMXnyZM477zyeeuopVq2y1l35+uuvefLJJznvvPOkxUgIIYQQDfTIMUYAU6ZM4bnnnmPx4sUcffTRKIrCkUceyYsvvpiwvlFOTg7p6ekUFhY2uMbdd9/N0KFDufXWW6muriY9PZ0rrriCmTNndmVVhBBCCNFL9NhgBDBp0iSWLl3a7DFTpkzhyy+/bHSfpmlcccUVXHHFFZ1RPCGEEEKkmB7ZlSaEEEII0R0kGAkhhBBCREgwEkIIIYSIkGAkhBBCCBEhwUgIIYQQIkKCkRBCCCFEhAQjIYQQQoiIHr2OUU8TvT2Jz+fr8Gvrug5YdwBOxRsDpnr9IPXrKPXr/VK9jqleP0j9OnZW/aLv2/G3GWuKYpqm2WGvnOJKS0vZsmVLdxdDCCGEEEkYMmQIffr0afYYCUZtEA6HqaysxOl0oqrSCymEEEL0BoZhEAgEyMrKwmZrvrNMgpEQQgghRIQ0ewghhBBCREgwEkIIIYSIkGAkhBBCCBEhwUgIIYQQIkKCkRBCCCFEhAQjIYQQQogICUZCCCGEEBESjIQQQgghIiQYCSGEEEJEyE1kO9kXX3zB4sWL2bBhA6qqcuSRRzJnzhz69evXqvMNw+Dpp5/mpZdeoqqqiszMTH7yk58wc+bMHnFbkvbUb+XKlcycOZOsrKwG+4YNG8bSpUs7o8ht9sorr3Dfffdx4okn8utf/7pN5wYCAZYsWcLrr7+O3+8nLy+PGTNmcP7553dSaZOTbB1feeUVFixYQEZGRoN9Rx11FA8++GBHFrNNampqePXVV3n99dfZvHkz4XCYvLw8TjrpJK666irS09NbdZ2qqioefvhh3nvvPcLhMAMGDOAXv/gFJ554YifXoGUdUcdHH32Up59+Go/H02Dfeeedx0033dQZRW+Vmpoa3njjDd5//302bNhATU0NTqeT8ePHc/XVVzNmzJhWXaen/hx2RP168s9gY3Rd5/+3d69BTVxtHMD/vFwUVKzIpWoF0TFQ8QKjFWpVis5ArWAtWh07iiOK2A5QrTDIoNiiaG0Bi4i3iCLWGxcVjResYC0iaFuDaDsTOwWhZQREpoAG5HbeD2QzjQmXkIQs7fOb4UPO5myeJ5uTfbJ7dlmyZAkePnyI1NRUuLq69qhfn+4LGdGZgoICNmHCBBYXF8daWlpYXV0dW716NZs1axarrq7u0ToiIiLY1KlT2b179xhjjInFYjZt2jQWERGhy9B7RNP8CgsL2fLly/sg0t6pqqpigYGBzMPDgwkEAhYeHq5W/9bWVubv78/c3d3ZH3/8wRhjLCcnhzk5ObG9e/fqImS1aZpjZmam2n36ypo1a5iTkxO7dOkSa21tZa2trezq1atsypQpzNvbm7148aLbdbx48YL5+PiwBQsWsMrKSsYYY6dPn2YCgYCdO3dOxxl0Txs57tmzh+3Zs6cPolVfYWEhEwgEbOvWrayhoYExxlhJSQnz9vZmTk5OTCwWd7sOPo9DbeTH5zGoyqFDh5hAIGACgYAVFhb2uF9f7gv1f8jhX6q1tRVbtmyBra0t1q9fDyMjI5ibmyMmJgY1NTWIj4/vdh137txBZmYmAgIC4OLiAgBwdnbG2rVrkZmZiZ9++knXaXRKG/nx3WeffQZHR0ckJyf3qn9WVhZu3bqF0NBQjB07FgAwZ84cLF68GPv27UN5ebk2w+0VTXPks/b2dnz88cd4//33YWhoCENDQ3h5eWHFihV49OgR0tLSul1HcnIyJBIJvvjiC9jY2AAAli5ditmzZ2PHjh2or6/XdRpd0kaOfGdlZYWoqCj50S97e3uEhYWhpaUF3333Xbf9+T4ONc2vPyktLcWBAwfg6empVr++3hdSYaQjd+7cQXl5OTw9PRUO89nY2MDZ2RmXLl3CixcvulwH96Xm5eWl0M49PnPmjJaj7jlt5Md38fHxWL9+PYyNjXvVPy0tDUZGRpg7d65Cu5eXF1pbW5GZmamNMDWiaY585uPjA19fX6V2Z2dnAMCDBw+67M8YQ3p6OqytreVfxhxPT0/U1dUhOztba/H2hqY58t2ECRNw5MgRpVMlI0aMANBxKqo7fB6H2sivv2CMYfPmzVi5ciUEAoFafft6X0iFkY7cvXsXAODg4KC0zNHRES9fvsT9+/e7XcfAgQNhZ2en0G5rawszMzP5a+iDNvLjO+7LqTdevnyJ4uJi2NrawtTUVGEZ957pc/txNMmR7xYuXAhHR0el9tbWVgBQObftn8rKylBVVdXpZxzo+IGgT5rmyHdDhgxRuRP99ddfAQDTp0/vsj/fx6Gm+fUnJ0+eRF1dHdatW6d2377eF9Lkax0pLS0FAFhbWyst49oeP36MGTNmqOwvlUpRXV2N0aNHw8DAQOU6Hj9+jMbGRqUB3xc0zY/z7NkzbNq0CWKxGHV1dRgxYgQ8PT3h7++PAQMGaD/wPlJeXo62tjaV74+FhQWMjY1RVlamh8i0r6ysDCEhIfjtt9/w/Plz2NnZYcGCBVi2bBkvLhB4FVewv/rr81WPHz8G0PVnnK/bsKc5ch4+fIg1a9agpKQETU1NGDduHJYuXQpvb29dhqk2qVSK27dv45tvvoGnpyeWL1/e5fP72zhUNz8O38dgRUUFdu/ejeTkZJiYmKjVVx/7QiqMdIQ7BDpw4EClZVxbQ0NDp/25ZZ1t6H+uQx+Fkab5cWpqauDh4YFt27ahubkZ2dnZiI6Oxg8//IBjx46pXH9/0JPtp+/5KdpSWVmJ4OBguLm5oaGhAenp6YiJicHt27eRmJjIiy9mTkNDA7KysuDh4dHt1TBdbUOujY/bUJ0cOU+ePMH27dsxefJk1NTUIDk5GRs3bkRRURE2b96s44h7JjQ0FFeuXAFjDH5+fggKCup2J9ufxmFv8uPwfQxGRUXB19cXU6ZMUbuvPvaF/PnGIv85Li4uuH79Ory8vGBsbIxBgwbB19cXAQEBKCoq4s3l+qRz8+bNg0gkwowZM/C///0PQ4cOxZo1a7Bw4UJcv34dV69e1XeICnbu3IkBAwYgJiZG36HojLo5rlq1CmlpaZg8eTIAwNLSEuHh4XBzc8Px48d5c0o8NjYWRUVFSEtLQ3FxMebPn8+b2LSht/nxfQyePXsWZWVl2LBhg17jUAcVRjrCXWHQ1NSktIxrU3XfCQ63rLGxUeXynqxDlzTNDwBMTExgbm6u1M7dHyY3N1fTMPWmJ9tPVe79jampKQYNGqTUzsdtKBQKkZOTA6FQiOHDh3f7/K62IdfGt22obo5Ax1hWdWSWj9vQ2NgYEydORFJSEhobG7FhwwY0Nzd3+vz+Ng7VzQ/g9xh8+vQpdu3ahW3btvX6aI4+9oV0Kk1H7O3tAQDV1dVKy7i2MWPGdNrfzMwM1tbWqKmpAWNM6dxqdXU1bGxs9HIaDdA8v65YWVkBAGpra3sXHA/Y2trC0NBQ5ftTW1uLlpYWpYmE/yZ824anTp2CUCjE0aNHMW7cuB714T6/XX3G+bQNe5NjV/i2Df9p2LBhmDRpEm7duoVHjx5h4sSJKp/XX8dhT/PrCh+2X0FBAZqbmxEaGqrQLpVKAQDBwcEwNjbG+PHjkZKSonId+tgX0hEjHeGuJpBIJErLJBIJBgwY0O351unTp6OxsVFpcuCff/4JqVSq1ysWtJFfSkqKykFbU1MDoOPLob/i7l5bXl6u9EuHe8/+DVecJCYmoqWlRamdT9swIyMD8fHxOHz4MJycnAB0zJErKSnpsp+dnR1sbGw6/YwD6PEcHl3rbY719fU4fPiwymXcNrSwsNBusGq4du1ap6eTuIsz/v777077830capofwO8xuGDBAojFYuTn5yv8+fv7A+iIPT8/v9OiiNPX+0IqjHTE1dUVtra2uHbtGtrb2+XtVVVVEIvFmD9/vsLhz+rqavkltpwlS5YAgNK9UrhzxtxyfdBGfqmpqSpvzMUd+nV3d9dR9NpXWVkJxphC25IlS9Da2oqcnByF9uzsbBgZGam8/wyfqcpx7969KgsHvmzDrKwsfPXVVxAKhfI5NEDH5dBbt26VP25vb0dlZaVCXwMDA3z00Ueorq6GWCxWWJadnQ1zc/MeX/WlS5rkWF9fj9jYWJU/ULhtOHv2bB1F3r3c3FycO3dOqV0qlaK4uBiGhoYKtyvob+NQG/nxfQyqiw/7QiqMdMTIyAjR0dEoLy9HQkIC2tra0NDQgMjISFhaWipMRLt8+TJmzZqFoKAghXW4urpi0aJFEAqF8i/m+/fv49ChQ1i0aJFef+loIz8A+PrrryEWi8EYQ3NzM0QiEQ4ePAhHR0f4+fn1ZUq9JhQK4e7uju3btyu0f/DBB3jnnXcQFxcn/+V+48YNZGRk4NNPP+XlIfzOdJYj0HHFye+//w6g43x/amoqzp49i5kzZ2L+/Pl9Harc5cuXERERAWdnZ+Tl5SExMVH+9+rOKDo6Gu7u7jhy5IhC++rVq+Hg4IAvv/xSfjrmzJkz+PHHHxEZGan3+SnayJExhrCwMFRUVADoONK0e/du5OfnY/HixZg6dWqf5aNKeno60tLS5HNtnjx5go0bN+Lp06dYt24dLC0tAfTfcahpfgB/x6C6+LIvpDlGOvT222/j2LFjSEhIwMyZM2FgYAA3NzecOXNG4b4aw4YNw+DBg1XebG/btm2wt7dHeHg4GhoaMHjwYAQEBGD16tV9mYpKmuaXkJCArKwsREVFoba2Fo2NjXj99dexcuVKBAQEqJxQ2JdOnjyJpKQktLW1AegYtHl5eTA1NcX169flz7OysoKZmZn8X0ZwDA0NsX//fiQmJsLf3x8vX77E8OHDsXXrVr3/80qOpjkeO3YMFy9eREhICOrr6yGVSmFnZ4fPP/8cfn5+MDQ07NN8/ungwYNoa2tDXl4e8vLylJb/88vUxsYGZmZm8nkZHDMzMxw/fhxxcXHw9fVFW1sbRo4ciaSkJF78E1lNcxwxYgT2798PkUiEVatW4fnz52hqasL48eOxfft2LF68uE/y6ExISAjGjBmDjIwMJCYmyosHJycn7NmzR+GIXX8ch9rIj89j8FVRUVHIyclRmmMUFhaGhQsX8mZfaMBePS5HCCGEEPIfRafSCCGEEEJkqDAihBBCCJGhwogQQgghRIYKI0IIIYQQGSqMCCGEEEJkqDAihBBCCJGhwogQQgghRIYKI0IIIYQQGSqMCCGEEEJkqDAihPRrkyZNgoODAxwcHJCYmKjvcOQiIyPlcc2ZM0ff4RBCeogKI0JIv/bgwQOkpqbqOwwlMTExkEgkGDVqlL5DIYSogQojQgghhBAZKowIIYQQQmSoMCKE8Nb58+exdOlSuLi4YNq0afDx8cGWLVvwyy+/dNrn5s2b8PX1xaRJkzBz5kzEx8ejvb1dvvzs2bPyuT8ODg4Kfb29vVXOVyoqKlLoU1hYiCNHjmDu3LmYOHEi3nvvPYhEoh7ldOfOHYV18W1uFCH/dVQYEUJ4KTo6GuHh4Xj33Xdx48YN5ObmIjAwECKRCIGBgSr7/Pzzzzh//jwSEhJw8+ZN+Pj44ODBgzh69Kj8Ob6+vpBIJJg+fbpSf5FIpHK+krOzMyQSCYKCggAAQqEQLS0tSE9Px5UrV2BlZYXQ0FAUFxd3m5erqytOnjwJS0tLHD16FBKJBMHBwT19WwghOkaFESGEd3Jzc3HixAl4e3vjk08+wWuvvQZzc3N4e3vLixNVJBIJdu3ahdGjR8PCwgKhoaEYMmQILly4oNX4jI2NERgYCAsLC4wePRphYWFgjOHixYvd9r179y5CQkIQFxeHGTNmaDUuQojmjPQdACGEvOrUqVMAOk5tvWrevHl48uSJyn6zZs2CiYmJ/LGhoSFsbW1RUlKi1fjmzp2r8Hjs2LEAgLKysi77FRQUYOPGjUhISMBbb72l1ZgIIdpBR4wIIbzz4MEDAIC9vb3SspEjR2Lz5s0q+1lbWyu1mZmZobGxUavxvfo6gwYNAoAuXyc/Px/r1q2Dubk5Jk+erNV4CCHaQ4URIYR3GhoaAACmpqZq9Rs4cKBSm4GBgVZi6up1unuN2tpahIWFYdq0aSgtLcW3336r9ZgIIdpBhREhhHeGDBkCoOsjMLrS1NSk9XW2t7cjKSkJCQkJGDVqFFJSUnDv3j2tvw4hRHNUGBFCeIc71aRqblBVVRVSUlLw7NkzjV6DO+ojlUqV1q9tlpaWcHFxweDBg7Fjxw4wxrBp0ya9FH6EkK5RYUQI4Z1ly5YBAC5duqS07PTp0zh06BCGDh2q0WvY2dkBAEpLSxXav//+e43W2x03NzesWLECZWVliI2N1elrEULUR4URIYR3PDw8sHz5cohEIuzfvx91dXWor69Heno6hEIhIiMjYWSk2UW1Pj4+MDAwQGxsLCoqKlBbW4sDBw4o3AxSV0JDQzF27FicOHECBQUFOn89QkjPGTDGmL6DIIQQVc6fP49Tp05BIpHAxMQEAoEAa9euxezZs+XPmTNnDioqKhT65eTk4O7du4iIiFBo//DDD/HVV1/JH1+4cAH79u3DX3/9BRsbG6xYsQJvvvkm/Pz85M/JyMjAsGHDlC7RHzVqFHJzc7Fp0yacO3dOYdnOnTtRUVGBvXv3KrQHBQUhODhY6Y7bXMxvvPFGD98ZQoiuUGFECCGEECJDp9IIIYQQQmSoMCKEEEIIkaHCiBBCCCFEhgojQgghhBAZKowIIYQQQmSoMCKEEEIIkaHCiBBCCCFEhgojQgghhBAZKowIIYQQQmSoMCKEEEIIkaHCiBBCCCFEhgojQgghhBCZ/wMUKkp1iQbQ0wAAAABJRU5ErkJggg==","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Now let's analyze the data in this directory.\n","analyzer = TemporalAnalyzer(data_dir=DATA_DIR)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n",")"]},{"cell_type":"markdown","metadata":{"id":"RQf0imr8SDOf"},"source":["💡 Neat! On this directory of transcripts, we see that the talk time ratio is pretty consistent during the tutoring session: The Tutor talks about 80% of the time and the Student talks about 20% of the time.\n","\n","There also seems to be a speaker named None --- this is coming from missing annotations in the Amber dataset: [link](https://github.com/rosewang2008/edu-convokit/blob/main/data/analyzers/4245.csv).\n"]},{"cell_type":"markdown","metadata":{"id":"8Mj8Xx-NSDOg"},"source":["### Multiple Transcripts\n","\n","Let's say we have a list of _specific_ transcripts and we want to analyze them.\n","We can easily do this by passing the list of transcript file paths into the `TemporalAnalyzer` constructor, and then analyzing the data:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1465,"status":"ok","timestamp":1703932995488,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"rgzPPt2uSDOg","outputId":"51d5fd12-b669-414b-c77c-1555ae22c1ae"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["import os\n","filenames = [\n"," # Let's just analyze two of the transcripts\n"," os.path.join(DATA_DIR, \"4244.csv\"),\n"," os.path.join(DATA_DIR, \"4246.csv\"),\n","]\n","analyzer = TemporalAnalyzer(filenames=filenames)\n","\n","# Same function call\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"-Jf5-6nnSDOg"},"source":["## 📝 Conclusion and Where to Go From Here\n","\n","In this tutorial, we learned how to use `Analyzer` to analyze our data. We learned how to use:\n","- 🔍 `QualitativeAnalyzer` to look at examples of annotations, such as student reasoning.\n","- 📊 `QuantitativeAnalyzer` to look at aggregate statistics on annotations, such as talk time.\n","- 💬 `LexicalAnalyzer` to look at the words used in the data, such as the most frequent words used by the student or the words that distinguish the student from the educator.\n","- 📈 `TemporalAnalyzer` to look at the annotations over time, such as the talk time ratio over time.\n","- 🤖 `GPTAnalyzer` to use GPT to analyze the data, such as summarizing the transcript.\n","\n","Additionally, we learned about the different data entry points for `Analyzer`, such as a single transcript, a directory of transcripts, or a list of transcripts.\n","\n","This concludes the final general tutorial on `edu-convokit`! 🎉\n","\n","\n","What are some natural next steps? If you are interested in seeing examples of these analyzers on **full** datasets, please check out our other tutorials where we apply everything to the:\n","- [NCTE dataset with an elementary math classroom data](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [TalkMoves dataset with a K-12 math classroom data](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [Amber dataset, with 8th/9th grade math tutoring data](https://colab.research.google.com/drive/1Q3anUPcemMils4cz2gwEwDdKCjEdm6T9)\n","\n","For additional tutorials on `edu-convokit`, please refer to our [documentation](https://edu-convokit.readthedocs.io/en/latest/).\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"7H9MIanCo5kS"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.5"}},"nbformat":4,"nbformat_minor":0} diff --git a/tutorials/tutorial_annotation.ipynb b/tutorials/tutorial_annotation.ipynb deleted file mode 100644 index a93d58c..0000000 --- a/tutorials/tutorial_annotation.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"tkZFagfLQul7"},"source":["# Tutorial on Annotating for Education Language Data\n","\n","Welcome to this tutorial on using [`edu-convokit`](https://github.com/rosewang2008/edu-convokit) for annotating your education language data!\n","Annotation is a critical step in understanding your data, and it is important to do it right & consistently across datasets.\n","`edu-convokit` is designed to help you do just that.\n","\n","Annotation is useful because:\n","- It creates descriptive statistics about your data, which can help you understand the data.\n","- It quantifies the language used by your students and educators, which can help you understand the language.\n","- It measures the interaction between the student and the educator, which can help you understand the interaction.\n","\n","`edu-convokit` is designed to support these purposes.\n","\n","## 📚 Learning Objectives\n","\n","In this tutorial, you will learn how to use `Annotator` to annotate your data. Some of the annotations we'll cover include:\n","- Section Link 🔗 Talk Time: We will annotate the amount of time the student and educator talk.\n","- Section Link 🔗 Student Reasoning: We will annotate use of reasoning in the student's speech.\n","- Section Link 🔗 Teacher Focusing Questions: We will annotate the use of focusing questions by the educator.\n","- Section Link 🔗 Conversational Uptake: We will annotate instances of high conversational uptake by the educator.\n","\n","For other annotations, please refer to the [documentation](https://edu-convokit.readthedocs.io/en/latest/) for more information.\n","If you want to add your own annotations, please make a pull request to the [repo](https://github.com/rosewang2008/edu-convokit/).\n","\n","Without further ado, let's get started!"]},{"cell_type":"markdown","metadata":{"id":"3F8CtV9cQul9"},"source":["## Installation\n","\n","First, install `edu-convokit`:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26511,"status":"ok","timestamp":1703932069788,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ErJys4_TQul9","outputId":"da1f1783-49a1-4d70-bf05-ca97a8e3f48c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-s81zucpt\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-s81zucpt\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 8eb087b51abfa36a7031bf1de4e3dc40d8848186\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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(setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for emoji: filename=emoji-1.7.0-py3-none-any.whl size=171033 sha256=3c0f7527379333472f637243ab34d271bb000da7d4ef44284076515a8f8b647e\n"," Stored in directory: /root/.cache/pip/wheels/31/8a/8c/315c9e5d7773f74b33d5ed33f075b49c6eaeb7cedbb86e2cf8\n","Successfully built edu-convokit docopt emoji\n","Installing collected packages: emoji, docopt, num2words, ftfy, clean-text, edu-convokit\n","Successfully installed clean-text-0.6.0 docopt-0.6.2 edu-convokit-0.0.1 emoji-1.7.0 ftfy-6.1.3 num2words-0.5.10\n"]}],"source":["!pip install edu-convokit"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":19417,"status":"ok","timestamp":1703932089199,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Ow3SgJIzQul-","outputId":"e8277eb9-9e86-4570-9817-bb50e5d1a8cb"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.\n"]}],"source":["from edu_convokit.annotation import Annotator\n","\n","# We're going to standardize the text with TextPreprocessor.\n","# In this tutorial, we're going to assume you're familiar with TextPreprocessor.\n","# For the tutorial on TextPreprocessor, see: https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK\n","from edu_convokit.preprocessors import TextPreprocessor\n","\n","# For helping us flexibly load data\n","from edu_convokit import utils"]},{"cell_type":"markdown","metadata":{"id":"GJh0MxIsQul-"},"source":["## 📑 Data\n","\n","Let's load the data we'll be working with. We're going to be using a transcript from the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves).\n","\n","We're also going to use `TextPreprocessor` to anonymize and pre-process the data. This is optional, but recommended.\n","\n","For the tutorial on `TextPreprocessor`, please refer to [this tutorial](https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK). Here, we're going to assume you're familiar with `TextPreprocessor`."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":397},"executionInfo":{"elapsed":1138,"status":"ok","timestamp":1703932179178,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"YuXBRDplQul-","outputId":"84c669ed-a4b6-4232-eb79-3b36fc7e4215"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:29:37-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves/Boats%20and%20Fish%202_Grade%204.xlsx\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.109.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 10528 (10K) [application/octet-stream]\n","Saving to: ‘Boats and Fish 2_Grade 4.xlsx’\n","\n","Boats and Fish 2_Gr 100%[===================>] 10.28K --.-KB/s in 0.001s \n","\n","2023-12-30 10:29:38 (14.2 MB/s) - ‘Boats and Fish 2_Grade 4.xlsx’ saved [10528/10528]\n","\n"]},{"data":{"text/html":["\n","
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    SentenceSpeaker
    0I'm wondering which is bigger, one half or two...T
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]
    2What was it? Two thirds?[STUDENT_1]
    3It would be like brown or something like that.[STUDENT_0]
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    SentenceSpeakertalktime
    0I'm wondering which is bigger, one half or two...T54
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]12
    2What was it? Two thirds?[STUDENT_1]5
    3It would be like brown or something like that.[STUDENT_0]9
    4Ok[STUDENT_1]1
    \n","
    \n","
    \n","\n","
    \n"," \n","\n"," \n","\n"," \n","
    \n","\n","\n","
    \n"," \n","\n","\n","\n"," \n","
    \n","
    \n","
    \n"],"text/plain":[" Sentence Speaker talktime\n","0 I'm wondering which is bigger, one half or two... T 54\n","1 Try the purples. Get three purples. It doesn’t... [STUDENT_0] 12\n","2 What was it? Two thirds? [STUDENT_1] 5\n","3 It would be like brown or something like that. [STUDENT_0] 9\n","4 Ok [STUDENT_1] 1"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["annotator = Annotator()\n","\n","# The talktime values will be populated in this column\n","TALK_TIME_COLUMN = \"talktime\"\n","\n","df = annotator.get_talktime(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," analysis_unit=\"words\",\n"," output_column=TALK_TIME_COLUMN\n",")\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"IhrfyJVJQul-"},"source":["🎉 We can see with a single function call, we've added our first annotation -- `talktime` -- to our data!\n","\n","All the other annotations work in a similar way. Let's continue!"]},{"cell_type":"markdown","metadata":{"id":"CRCqQlZjQul-"},"source":["## 📝 Annotating Student Reasoning\n","\n","Next, let's annotate the student's reasoning.\n","Under the hood, we're using a model trained on student's math reasoning from [prior work](https://github.com/ddemszky/classroom-transcript-analysis).\n","So...\n","\n","💡 Note:\n","- This model is trained on math reasoning, so it may not work well on other subjects.\n","- This model will run slow on CPU, so we recommend using a GPU. If you have a GPU, this library will automatically use it.\n","- This model is trained on _student_ utterances. `edu-convokit` has a simple way to only annotate student utterances, which we'll see below.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":400,"referenced_widgets":["b498c129c0e44dff81191cc677cb9aa8","65b4483312c44f00ab70e1da216bd2b2","a1f36fc2fb364873aebb933943d147ff","bb0378211ba5450c90958820777491c8","c40c55b78e9245e68d1368efd2116b55","6297e6ceff8e42fcbe39eb8c2442aad7","621b899ab7904e1eb1b90bb8ab56bcf5","ab2c6f60eb7f468eb1acb40902adb01a","f38caab569ea40b593a79bdb0ff9c01b","9025e414ce274dd69d9d63bee970479b","b7bb0d6c8ae84f39b2b2336c9e7caf39","93b4cf1453b34c899fe2f49084b580a0","01638eb1127f4d6eacc0376d0a88b306","f04988b571234ea59702b12f090856e4","b5ee3f1c61e14eddb13bc0f500898c76","23af1474081f4e4fb04ca78fdd4c999e","cc7a2fc33e704c93a89a3833c2325212","e72d8293f91242dd905d16db75a8f861","0df67a54af9c454cb15b3bcb678f83f2","2cacb213ca0a4e86b5bc9ded5859651d","e659ac12ac4843df87a9e4c031d865d7","8a85e58a32cb4c4d8d8fa35d53775da2","9d57e99d888a44afb0e5cc20e435e152","ac0f91a4e0ef4a1ea6d9e71e4380a0b4","48b80bb0d53f42f8ac42cd5c7f7e9e44","59f49da854f44be0a8ff1ed35c8b565b","c171a76161f0423a9d1e49bbb5a2518d","0f6b499a447241d98cc68371f6b1e3be","6db7b439727f4be6af017421b6327307","907f3a585f2f44fa915e7522bce75aa6","fe4192f5366843bc9e61080c3873b567","9ccfbfb1ffcb4a41a51e2b4b09582cea","307e7a54861743c6aac2beac39f9bd20","72468ac03d5742a4ac92bc87eeda45f2","ba93e5464871467f98153e0d2109b201","45c76ab2cbba48719bc7ed65892b8241","ebb6c044743e4f03a6c67e3831f75190","d05726ae49d646a5b3c261c0a4563aaa","09ead46f1b0a43bda66b55d17b5fed6f","22df55bbc0ea40c6b822f9968d357b28","ab7f9724e5944d9090631b430feb6718","fe01285359134618aada2ca8b5b2b027","c6f087be78f246028707f2c206c880e1","c8b15823ffd3486a8c26f70812df92d1","80c3d98985564c63a0e865fc35237bed","84c3e028066544edb4072f1b751f4199","45a1a278d80244aba54bae287165295a","f0bd2f00d42245bc98c0d6afeb4cacfb","9e67c4447efa473bbe9b16099367d14e","1054c4f96f0c4d02b227b89688d6e219","07dd9ef8633143efaf919e09cd63188c","19fad3225a7d4a0fb72b08418dc67f01","4360e2343dec464b9d0ac4b27843759e","6a56e72a1a284b078220b67fbf5a77af","42bd78b0bc7245ff9468deba2211303f"]},"executionInfo":{"elapsed":35372,"status":"ok","timestamp":1703932221823,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"aHNmmI_CQul-","outputId":"87846a85-eefe-43b7-987c-aca447013bf8"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Note: This model was trained on student reasoning, so it should be used on student utterances.\n"," For more details on the model, see https://arxiv.org/pdf/2211.11772.pdf\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"b498c129c0e44dff81191cc677cb9aa8","version_major":2,"version_minor":0},"text/plain":["tokenizer_config.json: 0%| | 0.00/429 [00:00\n","
    \n","\n","\n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","
    SentenceSpeakertalktimestudent_reasoning
    0I'm wondering which is bigger, one half or two...T54NaN
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]120.0
    2What was it? Two thirds?[STUDENT_1]5NaN
    3It would be like brown or something like that.[STUDENT_0]90.0
    4Ok[STUDENT_1]1NaN
    \n","
    \n","
    \n","\n","
    \n"," \n","\n"," \n","\n"," \n","
    \n","\n","\n","
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    \n","
    \n"," \n"],"text/plain":[" Sentence Speaker talktime \\\n","0 I'm wondering which is bigger, one half or two... T 54 \n","1 Try the purples. Get three purples. It doesn’t... [STUDENT_0] 12 \n","2 What was it? Two thirds? [STUDENT_1] 5 \n","3 It would be like brown or something like that. [STUDENT_0] 9 \n","4 Ok [STUDENT_1] 1 \n","\n"," student_reasoning \n","0 NaN \n","1 0.0 \n","2 NaN \n","3 0.0 \n","4 NaN "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["# The reasoning annotations will be populated in this column\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","\n","df = annotator.get_student_reasoning(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," output_column=STUDENT_REASONING_COLUMN,\n"," # Since this model is only trained on _student_ utterances,\n"," # we can explicitly pass in the speaker names associated to students.\n"," # It will only annotate utterances from these speakers.\n"," speaker_value=known_replacement_names,\n",")\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"PG8J_g_iQul-"},"source":["🎉 Great! We've added our second annotation -- `student_reasoning` -- to our data!\n","\n","💡 Note:\n","- `student_reasoning` is NaN for the educator's utterances as desired.\n","- Otherwise, for the students, `student_reasoning` is either 1.0 or 0.0. 1.0 means the model thinks the student is using reasoning, and 0.0 means the model thinks the student is not using reasoning.\n","\n","💡 Are you wondering whether there's an easy way to **view examples** of the student's reasoning?\n","\n","`edu-convokit` has a simple way to do this with our `Analyzer`s. This will be covered in the tutorial on `Analyzer`s: [link](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe).\n","For now, let's continue annotating!\n"]},{"cell_type":"markdown","metadata":{"id":"jTx57LEWQul-"},"source":["## 📝 Annotating Teacher Focusing Questions\n","\n","Let's annotate the educator's use of focusing questions.\n","Under the hood, we're using a model trained on focusing questions in math classrooms from [prior work](https://github.com/sterlingalic/funneling-focusing).\n","So...\n","\n","💡 Note:\n","- This model is trained on math classroom data, so it may not work well on other subjects.\n","- This model will run slow on CPU, so we recommend using a GPU. If you have a GPU, this library will automatically use it.\n","- This model is trained on _teacher_ utterances. `edu-convokit` has a simple way to only annotate teacher utterances which is similar to the one we saw above for student utterances."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":400,"referenced_widgets":["ba517f6122364672b315aa24a2634661","2d77343195954f7ebeed13c96bef129f","a5c805ee43ef409497d77176166b733e","7e0fa7d7425f497fb4bffa179aa58f42","507061a7fce8407395df923b3835a459","a9502a1f190549c4b153c6fff8ffba52","b0d3068009d64075b8b5933554e23f51","e09d85fad1ec4a5895de00cb27460bfd","3271f0583be64fbaa6e1763e8ba5a8e9","2f84e834e9804d14b85b14ce99b0f1d9","65365d4c95ca4534adb67c3641089e9c","baaaff9d41a64a63aab3812f21bc1a75","a7b3fa02c488432bb5abf6accea1a1a0","c52643ecdfb643c4a8a3ccebbbe6aba6","cd1440cd012247038c48473083354872","e95c83bac2864b45b5055221ccd3fce1","8b20866690fb4c7891cd0ff5a39ae75a","e673e3f41a75402e857135cd1d9487f6","644aff0ba7e840da8be9cb12ef9d065d","ff03f47ff7174bc2a026001e8f14e98c","6b5cc4a88c3245b3885097b118bde164","03efb2afce3f49a18af1d7aa47dd5cd9","83481c4e1e5b476e96c63df634866e57","22326af4c10a497ab5e523c58b2deae8","38961b46b75e44b1b33f76072007cd24","6d572c05837c4fc8bee3ce64a5bbe5e1","6d252ef949884fc29207c80f6d27b346","a6d5de84bc5b438ca3a80143e0548569","8d947a3e32e6451e98a9748dc0412a06","efbfe6f1498d4f23aec3a28c038a9ceb","2a513a04efed495ba91634390bc5a23a","7b6a03d0832342478974e7dd6eb9ba93","9408971f972043f7937cde0a6434ec72","54b34d286b774fd6bbaeddbbd80cb205","d46cc2d8bd554bc3a07371d7adb7a8b3","fca29d97559645bf8662202895ec194a","95d1c637afa3438dba8dc62f05c8418c","39cce37df81d48bfbd61c4e2695771e3","38395c616fe240978c50e840bdf6fdc6","40243b24bff04db3b527506f6176840a","9fd09b82c0994b9db3ca79f16462144a","32e3719b4b1b46fb98b49923d143e95e","dbca212ddc0647858ba9d7547aa9de08","4a9eeef234684b709d3aa549ecc7fd0e","7a36e29432764cf3a0f2e7805a988f7b","d4a0d8491bbb4951a3c7a5121ab63134","f91dabe95efb48ea86664cef13f9e023","1b15cfd57d7c484c84ffdda41914cbaa","6a95104da66b44ea91664af379ff721f","f09a537483ae46dabe047e2d8bc54863","219cdc6a2b614e5fac57585d7292b037","0ad7dc9fffe74600969e05a108e54a74","5a859cd96be3482d88c2d73fc13909f8","fd752ede9296422c9ca049549e0e323c","1f3f0f09eb964921a3df59099dc98c14"]},"executionInfo":{"elapsed":31356,"status":"ok","timestamp":1703932257256,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"TGeIj2g1Qul-","outputId":"bbaff2a7-c67b-49e6-f89e-1b9155f1ccba"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Note: This model was trained on teacher focusing questions, so it should be used on teacher utterances.\n"," For more details on the model, see https://aclanthology.org/2022.bea-1.27.pdf\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"ba517f6122364672b315aa24a2634661","version_major":2,"version_minor":0},"text/plain":["tokenizer_config.json: 0%| | 0.00/443 [00:00\n","
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    SentenceSpeakertalktimestudent_reasoningfocusing_questions
    0I'm wondering which is bigger, one half or two...T54NaN0.0
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]120.0NaN
    2What was it? Two thirds?[STUDENT_1]5NaNNaN
    3It would be like brown or something like that.[STUDENT_0]90.0NaN
    4Ok[STUDENT_1]1NaNNaN
    \n","
    \n","
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    \n","\n","\n","
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    \n","
    \n"," \n"],"text/plain":[" Sentence Speaker talktime \\\n","0 I'm wondering which is bigger, one half or two... T 54 \n","1 Try the purples. Get three purples. It doesn’t... [STUDENT_0] 12 \n","2 What was it? Two thirds? [STUDENT_1] 5 \n","3 It would be like brown or something like that. [STUDENT_0] 9 \n","4 Ok [STUDENT_1] 1 \n","\n"," student_reasoning focusing_questions \n","0 NaN 0.0 \n","1 0.0 NaN \n","2 NaN NaN \n","3 0.0 NaN \n","4 NaN NaN "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# The focusing questions annotation will be populated in this column\n","FOCUSING_QUESTIONS_COLUMN = \"focusing_questions\"\n","\n","df = annotator.get_focusing_questions(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," output_column=FOCUSING_QUESTIONS_COLUMN,\n"," # Since this model is only trained on _teacher_ utterances,\n"," # we can explicitly pass in the speaker names associated to the teacher.\n"," speaker_value=['T']\n",")\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"8XK4ZHg7Qul_"},"source":["🎉 Great! We've added our third annotation -- `focusing_questions` -- to our data!\n","\n","💡 Note:\n","- `focusing_questions` is NaN for the student utterances.\n","- Similar to before, `focusing_questions` is either 1.0 or 0.0. 1.0 means the model thinks the educator is using a focusing question, and 0.0 means the model thinks the educator is not using a focusing question."]},{"cell_type":"markdown","metadata":{"id":"jpXVgdFIQul_"},"source":["## 📝 Annotating Conversational Uptake\n","\n","Let's annotate the educator's conversational uptake of the student.\n","Under the hood, we're using a model trained from [prior work](https://github.com/ddemszky/conversational-uptake).\n","It measures whether the educator builds on the contribution of the student's utterance.\n","\n","So...\n","\n","💡 Note:\n","- This model will run slow on CPU, so we recommend using a GPU. If you have a GPU, this library will automatically use it.\n","- This model is trained on teacher utterances following student utterances. `edu-convokit` has a simple way to only annotate these teacher utterances which is similar to the function calls we saw before.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":281,"referenced_widgets":["f391db4cd84b4824b3aefbbdf9e89e49","fa2b3523edc643e6aacf294a3d17f975","662c005df3044164a86879c1285d4634","7efaabb625b84523942d7a6a158a5397","d9ca2ffd1d864148b32bba97809225eb","5195985e5fd84185b9bf74b73fe00ae6","2bdf27bb6f58409a8e1a348cb6bb87dc","e399e03dafd44fafa07fbeee05040e29","7ea0910eb50549feb0f1ec2684c5c62e","1c48e61ba92b411eb86b344475caa67b","2fd336f3e5f74626822462f63a144a7b","2e1ac0e3114e4bc89fa3c8b5cd681d34","56dcda8f819f4d1cbb73498328fc29da","1e4d7d8fa2ad40f7bcd734cac4d8f918","7b46e3d597624645aa95dab93a62b11b","669f9ea5fbc44b1a90f4f23371d3a3f4","43e8669e08e44c49975c903995e4c7b2","73042b370e354153a06dec2c1da989cc","95df46cf71cb4b1abb952e37db5d9b81","04ec5f5de26046f9837d6897afb46e71","e0917120f96c40a3aae53517a6a34453","228d988379ee4f39bbf7de8f238a21d8","d0b3cf8f953e44b4bf991851573c9b75","42cf702d413b476f9874634a8e64fdcb","1fae955ff2524bc5ab83a527c071676a","beb1f5caa1f748caa03c9a50d5fa2e99","3062fd004213433883961df72d959129","6adc65375461463aa77f5be0cff206c0","a128d671d27d46369e13bb291f69d3f9","cb1aebe61e014b148c72f43f257a4a37","3cf50235ec1743fea0ac8de5861d9e1a","83c6982d84ba4800934862113ab8ba4e","99369c4a7d2446c09fb14093d164b406","1ed87af90d734a4796fda6085eb08a97","46b39d17e33f4d9eb8dc47be95846eeb","afe2a61fed624fe2843a59abb7b69aef","2e976ac6861246d7880857a666adb63f","706d65d6c6cd41b595ccf3e83a94bdff","b4032d0fe796450e8697364194d98b88","d4f7903534834d808d34b164f745afe1","8261daed1a184be2a08ab47e04e61bbf","7bbfdde00b394382a0e13bec21dcadd0","26cc55ab692d45759376cef9898a8b07","e5df7a663d624bca8443e4e040fdd64b","5a0a99b11b694fc5bd2bdc6ef6bf4909","682c28862a624dcb99ab3b35851fe3e6","92389dcacedf48fd8df564784d4c5abb","62d4f80d9a6b45679174ae52fa0fa555","9782ae0213f74183b049c2b05e82083c","360f9e67f367423c8bf74433d92005c8","efab379638bf49aba3b9dc2a6310f36d","b7bca0c9dd3d4c3ca17d0709d69bde13","62a081bfde68472fb25fddb1856345c3","ae77ee3b6149496f9e9063e85711ca15","fa53aa83f8544f9191a539957b3805ff","d36ff1170f4b46b59622718e36197b31","6515923aefa042feac0318dc66111874","a31d2cd3f39643f78fb4c75a9e9e8448","386f24a73da44170aac2690ce4a0123a","1f5cf0cb2d624e2db4f4e0d7dcfd0586","f49d48cf1c6a497aa66c5adff086bbea","15afa9db892345269f84b1f30e8f032a","be10389831194348b7a4ef1922b4c048","0bf259e1b0ba47a592723bd4b4f0cf96","901de4a180df447a977b4f655a70318d","5f7730b6dfd8459f9a7b883ff9821970"]},"executionInfo":{"elapsed":32460,"status":"ok","timestamp":1703932294276,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"UbGtELCFQul_","outputId":"1d4a27f0-dce6-4cb6-d3cd-f36f118574ef"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Note: This model was trained on teacher's uptake of student's utterances. So, speaker1 should be the student and speaker2 should be the teacher.\n"," For more details on the model, see https://arxiv.org/pdf/2106.03873.pdf\n","WARNING:root:Note: It's recommended that you merge utterances from the same speaker before running this model. You can do that with edu_convokit.text_preprocessing.merge_utterances_from_same_speaker.\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"f391db4cd84b4824b3aefbbdf9e89e49","version_major":2,"version_minor":0},"text/plain":["tokenizer_config.json: 0%| | 0.00/28.0 [00:00\n","
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    SentenceSpeakertalktimestudent_reasoningfocusing_questionsuptake
    0I'm wondering which is bigger, one half or two...T54NaN0.0NaN
    1Try the purples. Get three purples. It doesn’t...[STUDENT_0]120.0NaNNaN
    2What was it? Two thirds?[STUDENT_1]5NaNNaNNaN
    3It would be like brown or something like that.[STUDENT_0]90.0NaNNaN
    4Ok[STUDENT_1]1NaNNaNNaN
    5We’re not doing the one third, we’re doing two...[STUDENT_0]140.0NaNNaN
    6First we’ve got to find out what a third of it...[STUDENT_1]180.0NaNNaN
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Now take six of the ones \n","13 Yeah, I know, and put ‘em up to there, and tha... \n","14 Now take six of the ones Which is bigger? \n","15 One half \n","16 I think one half is... \n","17 Yes, [STUDENT_0] and [STUDENT_1]? \n","18 What do you have? \n","19 Well \n","\n"," Speaker talktime student_reasoning \\\n","0 T 54 NaN \n","1 [STUDENT_0] 12 0.0 \n","2 [STUDENT_1] 5 NaN \n","3 [STUDENT_0] 9 0.0 \n","4 [STUDENT_1] 1 NaN \n","5 [STUDENT_0] 14 0.0 \n","6 [STUDENT_1] 18 0.0 \n","7 [STUDENT_0] 2 NaN \n","8 [STUDENT_1] 21 0.0 \n","9 [STUDENT_0] 9 0.0 \n","10 [STUDENT_1] 35 0.0 \n","11 [STUDENT_0] 10 0.0 \n","12 [STUDENT_1] 11 0.0 \n","13 [STUDENT_0] 30 0.0 \n","14 T 9 NaN \n","15 [STUDENT_2] 2 NaN \n","16 [STUDENT_0] 5 NaN \n","17 T 4 NaN \n","18 [STUDENT_0] 4 NaN \n","19 [STUDENT_1] and [STUDENT_0] 1 NaN \n","\n"," focusing_questions uptake \n","0 0.0 NaN \n","1 NaN NaN \n","2 NaN NaN \n","3 NaN NaN \n","4 NaN NaN \n","5 NaN NaN \n","6 NaN NaN \n","7 NaN NaN \n","8 NaN NaN \n","9 NaN NaN \n","10 NaN NaN \n","11 NaN NaN \n","12 NaN NaN \n","13 NaN NaN \n","14 0.0 1.0 \n","15 NaN NaN \n","16 NaN NaN \n","17 0.0 0.0 \n","18 NaN NaN \n","19 NaN NaN "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df.head(20)"]},{"cell_type":"markdown","metadata":{"id":"YdSyylvvQul_"},"source":["🎉 Great, we finished our last annotation of the tutorial!\n","\n","With these annotations, we can now do some analysis on our data.\n","\n","We can save our annotated data to a file which we'll use in the next tutorial on `Analyzer`s: [link](TODO).\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"1zspJNWjQul_"},"outputs":[],"source":["df.to_csv(\"annotated_data.csv\", index=False)"]},{"cell_type":"markdown","metadata":{"id":"Pp_W7hJXQul_"},"source":["## 📝 Conclusion and Where to Go From Here\n","\n","In this tutorial, we learned how to use `Annotator` to annotate our data. 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Or, you can add your own features by making a pull request to the [repo](https://github.com/rosewang2008/edu-convokit).\n","- You can analyze your data with [`edu-convokit`'s `Analyzer`](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe).\n","- For a tutorial on `Analyzer`, please refer to [this tutorial](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe).\n","- For the documentation on `Analyzer`, please refer to [this documentation](https://edu-convokit.readthedocs.io/en/latest/analyzer.html).\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"XV4_KzKFpdJv"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 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diff --git a/tutorials/tutorial_ncte.ipynb b/tutorials/tutorial_ncte.ipynb deleted file mode 100644 index 7248078..0000000 --- a/tutorials/tutorial_ncte.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"pmM0zX-SW4M4"},"source":["# Tutorial on `edu-convokit` for the NCTE dataset\n","\n","Welcome to the tutorial on `edu-convokit` for the [NCTE dataset](https://github.com/ddemszky/classroom-transcript-analysis). This tutorial will walk you through the process of using `edu-convokit` to pre-process, annotate and analyze the NCTE dataset.\n","\n","If you are looking for a tutorial on the individual components of `edu-convokit`, please refer to the following tutorials to get started:\n","- [Text Pre-processing Colab](https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK)\n","- [Annotation Colab](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw)\n","- [Analysis Colab](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe)\n","\n","This tutorial will use all of the components!"]},{"cell_type":"markdown","metadata":{"id":"fxcdKqHeW4M6"},"source":["## Installation\n","\n","Let's start by installing `edu-convokit` and importing the necessary modules.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":16955,"status":"ok","timestamp":1703933634344,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"EHd_2SRNW4M6","outputId":"e21ff79d-1a0a-4883-9ab1-84d1b809fd6a"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-ncsfguml\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-ncsfguml\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 5c1128c8f94d7574bc61cc56f29ce64bdca4ae30\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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(setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for emoji: filename=emoji-1.7.0-py3-none-any.whl size=171033 sha256=0a5d69f4ac14f376271ac4011aefc99eb821dcd5b2584b28eefd54bca2b8cfc0\n"," Stored in directory: /root/.cache/pip/wheels/31/8a/8c/315c9e5d7773f74b33d5ed33f075b49c6eaeb7cedbb86e2cf8\n","Successfully built edu-convokit docopt emoji\n","Installing collected packages: emoji, docopt, num2words, ftfy, clean-text, edu-convokit\n","Successfully installed clean-text-0.6.0 docopt-0.6.2 edu-convokit-0.0.1 emoji-1.7.0 ftfy-6.1.3 num2words-0.5.10\n"]}],"source":["!pip install edu-convokit"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":14881,"status":"ok","timestamp":1703933649222,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"x0Q58WdEW4M7","outputId":"cc67e4d1-0930-46f8-cc6a-ad3c19164f04"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.\n","[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Unzipping corpora/stopwords.zip.\n"]}],"source":["from edu_convokit.preprocessors import TextPreprocessor\n","from edu_convokit.annotation import Annotator\n","from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer,\n"," GPTConversationAnalyzer\n",")\n","# For helping us load data\n","from edu_convokit import utils\n","\n","import os\n","import tqdm"]},{"cell_type":"markdown","metadata":{"id":"plFdw3csW4M7"},"source":["## 📑 Data\n","\n","Let's download the dataset under `raw_data/`.\n","Note we're only download a subsample of the NCTE dataset for this tutorial; this cuts down the annotation time.\n","If you would like to annotate the entire dataset, feel free to upload the entire dataset to this Colab!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":701,"status":"ok","timestamp":1703933659477,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"8w8_hOq8W4M7","outputId":"8e8ca0e5-c4a9-4a40-8f6a-9eebe0e10333"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:54:18-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/ncte.zip\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 346717 (339K) [application/zip]\n","Saving to: ‘ncte.zip’\n","\n","\rncte.zip 0%[ ] 0 --.-KB/s \rncte.zip 100%[===================>] 338.59K --.-KB/s in 0.03s \n","\n","2023-12-30 10:54:19 (9.57 MB/s) - ‘ncte.zip’ saved [346717/346717]\n","\n"]}],"source":["# We will put the data here:\n","DATA_DIR = \"raw_data\"\n","!mkdir -p $DATA_DIR\n","\n","# We will put the annotated data here:\n","ANNOTATIONS_DIR = \"annotations\"\n","!mkdir -p $ANNOTATIONS_DIR\n","\n","# # Download the data\n","!wget \"https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/ncte.zip\"\n","\n","# # Unzip the data\n","!unzip -n -q ncte.zip -d $DATA_DIR\n","\n","# Data directory is then raw_data/talkmoves\n","DATA_DIR = \"raw_data/ncte\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dATniCmtW4M7"},"outputs":[],"source":["# We'll set the important variables specific to this dataset. If you open one of the files, you'll see that the\n","# speaker and text columns are defined as:\n","TEXT_COLUMN = \"text\"\n","SPEAKER_COLUMN = \"speaker\"\n","\n","# We will also define the annotation columns.\n","# For the purposes of this tutorial, we will only be using talktime, student_reasoning, and uptake.\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","UPTAKE_COLUMN = \"uptake\""]},{"cell_type":"markdown","metadata":{"id":"hGYZAQzKW4M7"},"source":["One thing that will be important is knowing how the teacher/tutor and student are represented in the dataset.\n","Let's load some examples and see how they are represented."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":223},"executionInfo":{"elapsed":257,"status":"ok","timestamp":1703933669958,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"KrBZyToSW4M7","outputId":"764874f7-b558-4251-ec99-f286e27f8349"},"outputs":[{"name":"stdout","output_type":"stream","text":["['teacher' 'multiple students' 'student']\n"]},{"data":{"text/html":["\n","
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    textspeakertalktime_wordsmath_densityuptakestudent_reasoningfocusing_questions
    0Okay. I think it’s working. Alright, so the ...teacher170NaNNaN0.0
    1Yes.multiple students10NaNNaNNaN
    2Student M, you don’t have your homework?teacher70NaNNaN0.0
    3No.student10NaNNaNNaN
    4Did you hand it in?teacher50NaNNaN0.0
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    \n"],"text/plain":[" text speaker \\\n","0 Okay. I think it’s working. Alright, so the ... teacher \n","1 Yes. multiple students \n","2 Student M, you don’t have your homework? teacher \n","3 No. student \n","4 Did you hand it in? teacher \n","\n"," talktime_words math_density uptake student_reasoning focusing_questions \n","0 17 0 NaN NaN 0.0 \n","1 1 0 NaN NaN NaN \n","2 7 0 NaN NaN 0.0 \n","3 1 0 NaN NaN NaN \n","4 5 0 NaN NaN 0.0 "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["files = os.listdir(DATA_DIR)\n","files = [os.path.join(DATA_DIR, f) for f in files if utils.is_valid_file_extension(f)]\n","df = utils.merge_dataframes_in_list(files)\n","print(df[SPEAKER_COLUMN].unique())\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"2c7-JGp4W4M8"},"source":["There are two speakers: one is the teacher and the other is the student/multiple students.\n","Let's defined these variables as well."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ykqN9avUW4M8"},"outputs":[],"source":["STUDENT_SPEAKER = ['student', 'multiple students']\n","TEACHER_SPEAKER = 'teacher'"]},{"cell_type":"markdown","metadata":{"id":"3LT7a6syW4M8"},"source":["## 📝 Text Pre-Processing and Annotation\n","\n","Let's first preprocess and annotate the dataset with `edu-convokit`. The following section will:\n","- Read each file in the dataset and preprocess it using `edu-convokit`'s `Preprocessor`.\n","- Then, annotate the file using `edu-convokit`'s `Annotator` for talktime, student reasoning and uptake.\n","- Finally, save the annotated file under `data/annotated/`.\n","\n","Let's get started!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["478afdc591fe4717b816d4b8999b20f9","438e1e3248f840cc80f868bdc9d6f055","b481a2dd11ec4b3492fa630d54aeec5e","6098c18d2e19483f80f674d7c3da495d","c72001496dd34958a49e871566ceda21","727b4b33e2194d2490ecaf9ee5c55755","4975d1aad66f42f2b8d327cfb64815f6","f4c4b907198e460a8388132636e0bf3f","8bd6b18a737443bb95c5203eb3543049","154686b7a0814306b14f41c546528814","9ddbc9ebb4174aeaade38c8a04fa79f3","32567c294e094c5a92fe985acabdaef4","ee114eb89811467b8027be7f094e8c46","d6714101182048619cca0346ad386f1b","98983133bd48476f91c3ce46693a39d0","ee0ab175bea84a35a999011696045ac7","f1fb0968b90b4e719f8a2ed200275cda","d12e9c2b17a34fd5812174abee025196","56c2d940a7fa42faa25edaf380db5d7b","4dd893dde3c84322ae8eaaa5fc8509a5","9f80803f4ba64b01aada90f268f3ee97","15e6c40a84154e9eb2c18c2624e60e91","6c35b75aaa3746cdbce04bfdf653904e","db2330f69fa645a3beeacd333abff97b","3eb38197657a4443bc7b16ed0dbeb052","4a7397ce40cf4875adb95ee0c6338cff","97caabac0ca8435ab931b1f19efe6a73","7ad12fd270234f84874b096cd09b284d","c3d0bcfa22ad4b30a93ed9f4c495dcd8","27370b9b75594bc0adebd5c660d1ce06","a016b13faf5240c9a6df8bc37b984d82","7b2ce202138d469db770b752cc58be91","6c60afe2fe5a4fe49684139c197ef309","9b84a1889c894cc78623ba9d213982b4","01a9cd65ca10474382117fb832734377","277b6ad600474bc8a7746f6aaca4a5b1","11fbcb21e8c94691aef35f1a85f8b43c","822aeacfa582438eb2089d3f54838d5e","37f1737da8904f10b1ebe5626a13120e","ed70e63306ca438da9b4b6b8c796372f","2d039f0ecd5d4ed7900ec55c5fe670c2","6e78f68175bb43cf9282aa8f0e0e7d9a","18db32367fcc4501ba2b655704dc6adb","88362c746da243d3b6eea7df74b78908","c521dae35d204f0ab7e7cdac598370b2","8d7e519f388349b3bc7f73c9ee48fe2a","88bc713728604916959a88910a8be97f","d8d938b4f27d470a9ec1ba28f0610e6b","cd23fcf16be1428f8314531ffadda28c","96c8dfd124f64684858a903a83a88ed4","ead0c7c4a61b4907ad090e80416d9061","7a620997d037457da80aeae328f64e16","f9e1db47741b40c682fe51e6f4f54400","8a674a85e5e24fb8a5862d28258be5ee","d848376790fe4f40949741b855847df0","f4c6112a4afd4ff285b883ca8eacdefe","22d19190e0b449a097da103386730120","d46c6d4bfd6c48d881294365737c2b27","52cded88639a447c8fb7466f53825214","46923b22da424156b76a02c73c9fb032","77b8d071e0cb47e2820f4862e8e1c848","fde34952d6ca455793bd663d4b43ed15","70013f4b11cd4b8f8e067695c4dfa498","8c321b4c74ad4c6ea8d3a70dfbd63468","df3f5f67947b45bf9707ec5c5d3bd41f","52f879cff0f44d799ae44f0ee06c6c40","eb4a7c9b210443f68fe1279b4010aacd","36886c8d78fc41b699cc59f374a7e26f","256f7cc6524b48888acf7edb88ab1c49","23d7df6808ea4c55ac1763f5d137d60c","ac646a3905434b9cb677f4ec7f61c2be","3b3637d8890e4fb6afc4cef9065d5cfa","a8af9b08015f427fa9c3e656a77c3de2","820b13ddd89049ac85f37fe1c962f6e7","211012efbf094cca8ae6bb08ca007918","7692175b1de846f2a3a27482d905bcaf","47e51cf393fb430e8e378d97d24e5dfc","3522036c734a46168ea54fa4be48123d","95e6c262155b48f6af185730b0c7102a","c6f210a5df554b9e924761dd50107270","bde2f459e85a48fea8bd9a59c84444b8","20e0ec7162204d5c88790c6ea8732e7b","815fded1286240c7afc44eea95078a5b","1bc2effe5f294e0cbde214d446c44ab6","0bc4afe16cd84660978efe9577a5c4cc","3d61070309294c6688f0b85bdd1b5a98","c7febd7f46f94beba741a8c99293567e","43955496caaf41ecbf5dc0ce4369ea3d","23117cdc20964a93b70a9ca146021d29","ce8d54da8e274079bd7f8a5c94608030","ed59d6932c014175831a797ac2da59b2","185f516c843d48ebbc142509345aed80","e422cd4bfd484eb89b5de04b74d60728","8ff6e25179da4f89b2e7a2967b976c82","e35a28ded01748e581d8916ac39f3fe1","10688d2331974877982f7c6c09651f76","3e1dfcc0cdee4d288cea8d307a576068","d0d883d301214f90bae1a9330fabf5c7","e2d74aa0c1e54c37a2245800449bdae0","58482a44819d42d1a8a790df1b9a9e72","a816d28763464753890859222f89e234","83663ebaa26647c3911d29f9d147bac8","a0e799679d9140969e8c62f2e3f88b7d","9f08ae117c214863ad339d9b1e56e7ad","8917378aff6f427a82f2285bbe304312","ae089ab13bf448d59a645fc7cb370762","783cd9ea44e9410f972aa7151392b13e","e570bf1c7c434b978129dbdfb25467a5","057b1a08111544f2bdbcd1b7c30a9477","39fad1ff23b445848d2ed756cbb16940","4658d8da259e432fa0dd9bd5d9d277b2","981363f695cc4feeabcd83310d782420","6a9901898f694198a8fc889fd9d7f97c","f1eb2bdaee9d4c5bb447ead2cfc3c9ba","4c0f42714122472aa5eec2f45d493f67","7857c7de78e3449c927675769a0e17d2","5942ef7bf09d4c3785f2a1d2858a3591","f6e8f19f1e714bc1832356b54df1c769","0081e98c727a459d9e0e46aa33ccc10b","73aeeb41cbd947c9b5eba7b986975237","aa8700ccfc2d4f1aa9a9cc5057cbba7b"]},"executionInfo":{"elapsed":402968,"status":"ok","timestamp":1703934077738,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Z7eIPkwqW4M8","outputId":"13541c6d-dab5-4a47-d783-66131eabb490"},"outputs":[{"name":"stderr","output_type":"stream","text":["\r 0%| | 0/29 [00:00> teacher: Okay. I think it’s working. Alright, so the first thing – everyone got their homework back, correct?\n","\n","talktime: 17\n",">> teacher: Okay. That could be your problem. Student [G], do you have a question? Student N, sit up.\n","\n","talktime: 17\n",">> student: A year has 52 weeks so 52 times 4 equals 52 times 2 plus 52 times 2.\n","\n","talktime: 1\n",">> multiple students: Yes.\n","\n","talktime: 1\n",">> student: No.\n","\n","talktime: 1\n",">> student: Yes.\n","\n","talktime: 7\n",">> teacher: Student M, you don’t have your homework?\n","\n","talktime: 7\n",">> student: [Inaudible]. She just didn’t really – oh.\n","\n","talktime: 7\n",">> student: 60 times 11; and 3 times 11.\n","\n"]}],"source":["# We're going to look at examples from the entire dataset.\n","qualitative_analyzer = QualitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Examples of talktime. Will show random examples from the dataset.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TALK_TIME_COLUMN,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703934084491,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Bf9c-iY2W4M8","outputId":"4827a8ad-9392-4c76-8d02-afdeffbbf3be"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> student: You could – so 76 times 10 is double the final problem so you –\n","\n","student_reasoning: 1.0\n",">> student: They all will add up to a whole.\n","\n","student_reasoning: 1.0\n",">> student: Because I know that three-sixths is equivalent to one-half in fractions.\n","\n"]}],"source":["# Examples of student reasoning. Let's look at positive examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":113,"status":"ok","timestamp":1703934086073,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"upy6Io5PW4M9","outputId":"7ef617ea-10e9-4a3b-8fe1-c7ee024d8dc0"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n",">> student: No. This is Student D.D.; this is Student D.C.\n","\n","student_reasoning: 0.0\n",">> student: Do you want me to go that way?\n","\n","student_reasoning: 0.0\n",">> student: I did 63 times 10 equals 630 and then 63 to that equals [Inaudible] and then I got, I got 693.\n","\n"]}],"source":["# We can also look at negative examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=0.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703934086891,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"bd-Zn76jW4M9","outputId":"fda8e3cf-8184-4451-f915-dfe19c6f1171"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","student: No. This is Student D.D.; this is Student D.C.\n",">> teacher: Okay, give Student D.C. his. And what are you on Student D?\n","\n","uptake: 1.0\n","student: Can I leave my desk?\n",">> teacher: You may go get it. Student A, can you please get Student N’s folder out of her desk, and Student J, can you please turn off a light.\n","\n","uptake: 1.0\n","student: 63 times 10 is 630.\n",">> teacher: 630. Good. Um, Student H, what’s 60 times 11?\n","\n"]}],"source":["# Examples of uptake.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," # I want to look at positive examples of uptake (uptake = 1.0)\n"," feature_value=1.0,\n"," # ... and look at the previous student utterance (show_k_previous_lines = 1).\n"," # This is interesting because it will show us how the teacher is responding to the student's utterance.\n"," show_k_previous_lines=1,\n",")"]},{"cell_type":"markdown","metadata":{"id":"Hnqz2mbFW4M9"},"source":["### 📊 Quantitative Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":621},"executionInfo":{"elapsed":499,"status":"ok","timestamp":1703934088845,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ERhtObqhW4M9","outputId":"7649b694-d4b7-489c-c011-e1a51f3e52ee"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","multiple students 29.0 0.003755 0.004297 0.000127 0.000892 0.002291 0.004942 0.017520\n","student 29.0 0.145835 0.054895 0.040153 0.105824 0.139083 0.176111 0.279475\n","teacher 29.0 0.850410 0.056019 0.709941 0.821598 0.858346 0.890292 0.959623\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer = QuantitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's plot the talk time ratio between the speakers.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":747},"executionInfo":{"elapsed":650,"status":"ok","timestamp":1703934093286,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"uue-7HjKW4M9","outputId":"44706530-0c0a-4c0d-93c9-8d7567ad3034"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAHCCAYAAAAKFAY/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABXVElEQVR4nO3dd1RU19oG8GeG3hUboBIUpNi9UewasWusqNFcW2yfscSSWLDEREXURG+IjVgjRqMYxRI1Kug1VhRFiVFBBIRYQEWRXobz/SHMdRzaHKYAPr+1XMvZe5+93xmGmZdz9tlbIgiCACIiIiKCVNcBEBEREZUXTIyIiIiI8jExIiIiIsrHxIiIiIgoHxMjIiIionxMjIiIiIjyMTEiIiIiysfEiIiIiCgfEyMiIiKifOU+MTp48CBatmyJ+fPnq3xsVlYW1qxZgy5duqBt27bo168f9u/fr4EoiYiIqDLQ13UARUlMTMTXX3+NyMhIpKSkqHy8TCbDlClT8ODBA2zfvh3169fHmTNn8MUXXyAxMRFTp07VQNRERERUkZXbM0YzZsyAq6srtm3bJur4w4cP48KFC/jqq69Qv359AICHhweGDBmCjRs3Ii4uTp3hEhERUSVQbhOjtWvXYubMmTAwMBB1fEBAAPT19dG1a1eF8p49eyI3NxcHDhxQR5hERERUiZTbxMjW1lb0sVlZWQgPD4e9vT1MTEwU6lxcXAAAV69eLVN8REREVPmU2zlGZREXFweZTIaaNWsq1VlbW8PAwAAPHz5Uud/c3FwkJyfDyMgIUmm5zSmJiIjoLXl5ecjKyoKVlRX09YtPfSplYlQwWfvds0UFjI2N8fr1a5X7TU5ORmxsbFlCIyIiIh1xcHBAtWrVim1TKRMjTTEyMgIA2Nvbw9jYWMfREBERUWlkZmYiLi5O/j1enEqZGFlYWAAAMjIyCq3PzMyEpaWlyv0WXD4zMzODqamp+ACJiIhIa/T09ACgVNNgKuVEGXt7e+jp6SExMVGpLikpCTk5Ofjggw90EBkRERGVZ5UyMTIyMkLTpk0RFxendNYoIiICAODu7q6L0IiIiKgcqxSJ0dOnTyEIgkLZsGHDkJubi+DgYIXykydPQl9fH4MHD9ZmiERERFQBVPjEaMuWLejcuTOWL1+uUD5gwAC0b98ea9asQXR0NADg7Nmz+O233zBlyhReSiMiIiIl5Xby9Z49e7BhwwbIZDIAwPHjx3H+/HmYmJggKChI3q5GjRowNTVFrVq1FI7X09PDpk2bsG7dOowbNw5ZWVmoVq0alixZgqFDh2r1uRAREVHFIBHevQZFRUpPT8fdu3fh5ubGu9KIiIgqCFW+vyv8pTQiIiIidWFiRERERJSPiRERERFRPiZGRERERPmYGBERERHlY2JERERElI+JEREREVE+JkZERERE+ZgYEREREeVjYkRERESUj4kRERERUT4mRkRERET5mBgRERER5WNiRERERJSPiRERERFRPiZGRERERPmYGBERERHlE50Yubm5qTMOIiIiIp3TF3ugIAgIDQ2FIAjFtjMwMICNjQ1sbGzEDkVERESkFaITIwAYNWpUqdu6uLhg8eLF+PDDD8syJBEREZHGiE6Mpk2bhuPHj+PJkyfo1KkT7OzsYGZmhrS0NDx69Ajnz59HkyZN8K9//QsJCQm4cuUKxo0bh3379sHV1VWdz4GIiIhILUQnRnXr1oWdnR327t0LS0tLpfrXr19j7ty5aNWqFdq3b4/s7GzMnDkTmzZtgq+vb5mCJiIiItIE0ZOvd+7ciSVLlhSaFAGApaUlFixYgHXr1gEADA0NMXPmTISGhoodkoiIiEijRCdG0dHRqFWrVrFtbGxsEBERIX/s4OCA169fix2SiIiISKNEJ0ZGRka4fPlysW0uXboEQ0ND+eOXL1/CyspK7JBEREREGiU6MerYsSPmzp2LAwcOIC0tTaEuNTUVv/32G+bNm4fOnTvLy3ft2oW6deuKj5aIiIhIg0RPvp4zZw5CQ0OxaNEiLF68GDVq1ICJiQkyMjLw7NkzCIIAW1tbfPXVVwCASZMm4c8//8Ts2bPVFjwRERGROkmEklZoLMaLFy/w/fff48SJE8jMzJSXm5iYoG/fvpg9ezasra0BAOHh4cjMzISrq2uRE7bLu/T0dNy9exdubm4wNTXVdThERERUCqp8f5cpMSqQk5OD6OhopKamwsLCAvXr14e+fpnWjiyXmBgRERFVPKp8f6slezEwMICLi0uhddeuXUOrVq3UMQwRERGRRomefF1ao0eP1vQQRERERGpRpjNGCQkJOHnyJB4+fIiMjIwSN5QlIiIiKs9EJ0aXL1/GlClTkJGRUWw7iUQidggiIiIirRKdGK1evRp16tTBlClT4OjoCFNTU6UkSBAEdO/evcxBEhEREWmD6MTowYMHCAwMhKOjY7HtWrZsKXYIIiIiIq0SPfm6SpUqJe6VBrxZ7ZqIiIioIhCdGA0aNAh//PFHie14VxoRERFVFKIvpQ0ePBg+Pj6IjIyEh4cHatasCWNjY4U2giDg2rVrZQ6SiIiISBtEJ0Y9e/aUT7bm5TIiIiKqDMq0jtHAgQOLrRcEAYcPHy7LEERERERaU6bEyMfHp8Q2hw4dKssQRERERFojevL12rVrS9XO399f7BBEREREWiU6MerTp0+p2j1+/FjsEERERERapfFNZL28vDQ9BBEREZFalHqO0dGjR5GQkIAJEyYAYMJDRERElU+pE6MlS5YgIyMD/fv3R82aNREYGFiq47iJLBEREVUUKiVGiYmJqFmzprwsODi42GO4iSwRERFVJKVOjAYMGKDw2M7ODrVr1y7xOFtbW9WjIiIiItIB0ZOvz5w5o9Z2RERERLqm8bvSunbtqukhiIiIiNSiTCtfA8Dr168RFxeHzMxMCIKgVM91jIiIiKiiEJ0YvXz5El5eXvjzzz8LTYiIiIiIKhrRidHSpUtx4cIFdOjQAY6OjjA1NVW6NV8QBGzcuLHMQRIRERFpg+jE6Pz581i5ciU+/vjjYttt2LBB7BBEREREWiV68nVeXh48PDxKbFfSWkdERERE5YXoxKhly5aIiYkpsd21a9fEDkFERESkVaITowULFmDNmjW4d+9ese24pxoRERFVFKLnGH399dd49eoVBg0aBBsbG9SsWRNGRkbqjI2IiIhIq0QnRlevXpX//8mTJ3jy5Emh7biJLBEREVUUZVrgsaTLaADg6uoquv/Q0FD4+voiKioKUqkUbdq0wZw5c2BjY1Oq4x88eICNGzciLCwMGRkZsLCwQLt27TBlyhSFzXCJiIiIgDLMMerQoUOp2g0aNEhU/1euXMGYMWPQokULnD9/HidOnEBycjKGDRuGZ8+elXh8REQEPD09cf/+fezcuROXL1/Gjz/+iLNnz2Lw4MF48eKFqLiIiIio8hKdGG3durVU7Xx8fFTuOzc3F4sXL4a9vT1mzpwJfX19WFpawtvbG8+fP8fatWtL7MPf3x8ZGRmYPXs26tatC+DN2auJEyfi2bNn2L9/v8pxERERUeVW5r3SAOCvv/7CX3/9hZSUFFhaWqJp06Zo1KiR6P5CQkIQFxeHyZMnQyr9X+5Wq1YtNG/eHMeOHcOiRYtgZmZWZB8JCQkAIE+KChQ8LmpOFBEREb2/ypQYRUdHY968ebh9+7ZSXZMmTbBq1SrUq1dP5X4LJna7uLgo1bm6uuL69eu4desW2rVrV2Qfzs7OOH/+PGJiYuDo6Cgvj42NBQCFMiIiIiKgDInR06dPMXLkSLx8+RJubm6oV68eTE1NkZ6ejujoaPz1118YNWoUDhw4gFq1aqnUd8HCkYVNkC4oi42NLTYxmjhxIi5evIi1a9fC3t4eTk5OuHXrFrZs2YImTZpg2LBhKsX0NplMBplMJvp4IiIi0h5VvrNFJ0YbNmyAtbU1du3aVejZlwcPHmDmzJnYsGEDli5dqlLfqampAABjY2OluoKylJSUYvuoWrUqfv75Zyxfvhz9+vWDgYEBZDIZhgwZAi8vr0L7Lq3IyEjRxxIREVH5VaZNZDds2FDkJSlHR0esWLEC06ZNEx1cWdy/fx//93//h2rVquHYsWOoX78+oqOj4eXlhREjRmDjxo2oXbu2qL6dnZ1hamqq5oiJiIhIE9LT00t9UkN0YvTixQs4OzsX28bV1RVJSUkq921ubg4AyMzMVKorKLOwsCi2j8WLF+PJkyfYuXOnfMK1k5MT1q5dix49emDRokXYsWOHyrEBgJ6eHvT09EQdS0RERNqlyne26Nv1ra2tcf/+/WLbREREoFq1air3XTBhOzExUamuoMzBwaHI49PT03Hz5k3Y2NgUeleara0trly5UmjiRURERO+vMi3wOG/ePPldXu+KiYmBl5cXOnXqpHLf7u7uAN4kVu+KiIiAkZERmjVrVuTxmZmZEAShyO1IpFIp8vLykJ6ernJsREREVHmJvpQ2bdo0DBo0CH369IGbmxvq168PExMTZGRk4MGDB7h37x6qVq2KqVOnqtx369atYW9vj1OnTmHGjBnytYwSEhIQFhaGAQMGKKxhlJiYCGtra+jrv3k61tbWqF27tnwPN1tbW3nbp0+f4vHjx7Czs4O1tbXYp09ERESVkOgzRra2tvD394eLiwv+/vtvHD16FAEBATh69Cju3LmDhg0bwt/fX+Vb9QFAX18fS5cuRVxcHHx9fSGTyZCSkoKFCxeievXqmDVrlrzt8ePH0bFjR6VJ3nPmzIEgCJg7d658MccnT55gzpw5yMvLw5w5c8Q+dSIiIqqkyrTAo7OzMwIDAxEeHi5f+drCwgJNmzZFkyZNyhRY27ZtsXPnTvj6+qJDhw6QSCRo06YN9u3bp7C+UdWqVWFubq5wVggAevfuDWtra2zbtg0DBw5EXl4epFIpmjZtih07dqBt27Zlio+IiIgqH4kgCIKug6go0tPTcffuXbi5ufF2fSIiogpCle9vteyV9rb4+HicPXsWxsbG6NWrFywtLdU9BBEREZFGiE6MQkNDMW/ePADAL7/8AltbW4SHh2P06NHIysqCIAjYuHEj9u/fjxo1aqgtYCIiIiJNET35+siRIzA2Nsby5cvlE6xXrFiBzMxMeHp6Yv78+ZBKpdi6davagiUiIiLSJNFnjMLCwrBixQr5ekIPHjzAzZs30bFjRyxfvhwA0LBhQ3z99dfw8vJST7REREREGiT6jNE///wDNzc3+eNTp05BIpHgk08+kZc1bdoUCQkJZYuQiIiISEtEJ0bm5uZ48eKF/PGRI0dgZmamsNJ1VlYWTExMyhYhERERkZaITowaN26MNWvWICoqCuvWrUNsbCz69OkDQ0NDeZtz587Bzs5OLYESERERaZroOUaTJ0/Gv//9bxw7dgyCIMDc3ByTJk0CADx69Ai//vordu/ejXHjxqktWCIiIiJNEp0YNWvWDPv27cORI0cglUoxZMgQ1KlTBwCQnJyMFy9eoFevXhg4cKC6YiUiIiLSKK58rQKufE1ERFTxqPL9LXqOUWnxVn0iIiKqKDSeGB06dEjTQxARERGpRZn2Srtz5w7WrVuHGzdu4PXr1+qKiYiIiEgnRCdGd+7cwYgRI2Bubo4GDRogNDQUrVq1AvBm/aKoqChkZGSgZcuWaguWiIiISJNEJ0YbNmyAh4cHvv/+e+jp6cHNzQ27du2S1ycnJ2P27Nno2rWrWgIlIiIi0jTRc4xu3LiBGTNmQE9Pr9B6KysrLFy4EAEBAaKDIyIiItIm0YlRWlqawqrWhoaGSEtLU2hjY2ODmJgY8dERERERaZHoxMjGxgbx8fHyx7a2tggNDVVoc/HiRa73Q0RERBVGmfZK8/b2xvPnzwEA7u7uWLhwIXbv3o3z589j69atWLhwIRo3bqy2YImIiIg0SfTK10FBQZgzZw5cXV3x66+/Ij4+HgMHDkR6ejoAQBAEGBgYYO/evWjUqJFag9YVrnxNRERU8ajy/S36rrRu3bohLCxM/rhu3boICAjAzz//jMePH8PW1haffvopGjZsKHYIIiIiIq0q0wKP73J0dMSyZcvU2SURERGR1qhtS5Dnz5/j3r176uqOiIiISOvKlBhlZmbihx9+QOfOndGxY0cMHjwYAHDhwgWMHTsWkZGRagmSiIiISBtEJ0apqakYPnw4/Pz8kJCQAEtLSxTM43ZycoKxsTFGjRqFhw8fqi1YIiIiIk0SnRj5+fkhMTER3t7eCAsLQ0hIiLzOxsYGfn5+6NWrF/z8/NQSKBEREZGmiU6MTp8+jdWrV8PT0xMmJiaFtpk4cSKuXbsmOjgiIiIibRKdGD158gStW7cutk21atWQmJgodggiIiIirRKdGJmbmyMuLq7YNpGRkbC0tBQ7BBEREZFWiU6MWrduDS8vL4X90t6WkpKCFStWoF27dqKDIyIiItIm0Qs8Tps2DUOGDEGvXr3g7u4OV1dXAICvry8ePXqEM2fOQBAErFq1Sm3BEhEREWmS6L3SAODq1av48ssv8ezZs/91KJFAEATY2NhgzZo1+PDDD9USaHnAvdKIiIgqHq3slQYA7u7uCA4ORnBwMMLDw5GamgoLCws0a9YMXbp0gaGhYVm6JyIiItIq0YnRoUOHAAB16tRB79690bt3b3XFRERERKQTohOj+fPnw9jYGGPHjkXLli3VGRMRERGRTohOjKRSKfz9/dG0aVN1xkNERESkM6Jv169evTrq169fYrvHjx+LHYKIiIhIq0QnRj169EBQUFCJ7bp27Sp2CCIiIiKtEp0YzZ49G6dPn8ZPP/2Ehw8fIjs7u9B2ZVgNgIiIiEirRM8xKlif6MyZM/jhhx+KbCeRSMQOQURERKRVohMjQRDQqlWrEtuFhoaKHYKIiIhIq8q0wOOuXbtKbFOwVQgRERFReVemOUal4ePjI3YIIiIiIq0SnRhNmjSpVO0GDRqkVDZ69GixwxIRERFpjOjEqCyuXbumi2GJiIiIiqWTxIiIiIioPGJiRERERJSPiRERERFRPiZGRERERPmYGBERERHlY2JERERElI+JEREREVE+nSRGgiDoYlgiIiKiYmksMTpy5EiRCzn6+/tralgiIiIi0UQnRm5ubsXWBwQEYPTo0fDz81Oqc3d3FzssERERkcaIToxKuhz2yy+/YNu2bdi7d6/YIYiIiIi0SnRiJJFISmzTqFEjJCcnix2CiIiISKv0S9swKCgIwcHBCmULFiwo8sxRdnY2bt++jfr165ctQiIiIh2QyWSIiYlBVlaWTmNISkqCtbU19PT0dBaHkZER6tWrp9MYtKXUidG9e/cQGBgofyyRSHDw4MFij/nggw+wePFi8dERERHpQE5ODubPn4/IyEhdh1JuODs7Y+XKlTAwMNB1KBpV6sRozJgxGDRoEIA384u6deumdAapgEQigaWlJczNzcsUXGhoKHx9fREVFQWpVIo2bdpgzpw5sLGxKXUfkZGR2LRpE27evIn09HQYGRmhYcOGmDBhAlq2bFmm+IiIqHJKSEhgUvSOyMhIJCQkoE6dOroORaNKPcfIwsICtWvXRu3atVGnTh20atVK/vjdf3Z2dmVOiq5cuYIxY8agRYsWOH/+PE6cOIHk5GQMGzYMz549K1Uf586dw4gRI9C5c2ecPn0aISEhWLZsGS5evIgbN26UKT4iIqq8atWqBWdnZ12HUa44OzujVq1aug5D4ySChldbfPz4Mezs7FQ6Jjc3F71794a+vj6OHTsGqfRN/paQkIAuXbpgwIAB8PHxKbaPpKQk9OrVC5MnT8a4ceMU6r777js4OTnJz4CVVnp6Ou7evQs3NzeYmpqqdCwREVUsup5jFBsbq7DkzeTJk+Hg4KCTWCr6HCNVvr9LfSlNrK5du+Lu3bsqHRMSEoK4uDhMnjxZnhQBbzL45s2b49ixY1i0aBHMzMyK7GPv3r1ITU2Fp6enUt2cOXNUioeIiN4/enp6cHJy0nUYcg4ODmjUqJGuw6j0ypQYZWZm4uLFi3j48CEyMjLUttXH1atXAQAuLi5Kda6urrh+/Tpu3bqFdu3aFdlHUFAQ6tatCysrK7XERERERJWf6MTozp07mDRpEl68eFFsQlSa9Y7eFRMTAwCoWbOmUl1BWWxsbJGJkUwmw/3799G8eXNcvnwZmzdvRmRkJPT09NC8eXNMmTIFrq6uKsf1dv8ymUz08URERCXJy8tTeszvHnFUed1EJ0be3t6QSqX48ssv4ejoCFNTU6UkSBAEjB07VuW+U1NTAQDGxsZKdQVlKSkpRR7/+vVrZGdnIzIyEvPnz8fq1avx4YcfIi4uDnPmzMGwYcPw888/41//+pfKsQHgnQpERKRxDx8+VHh8//59ZGdn6yia94foxOj27dvw9/dHs2bNim1na2srdgjRCibKvXr1CqtWrULr1q0BAPXr18fq1avRt29fLF++vMR1mIri7OzMyddERKRRhoaGCo8bNGiAhg0b6iiaii09Pb3UJzVEJ0ampqalmpR25swZlfsuuNU/MzNTqa6gzMLCosjj3z7T1LZtW4U6R0dH1K5dG3///bd8NVFV6enpVdiZ+UREVDG8ffNRwWN+94ijyusmeq+0Hj164PLlyyW28/LyUrnvevXqAQASExOV6grKirtl0crKSn7HWtWqVZXqq1evDuDNLf1EREREBUQnRnPnzsXRo0exc+dOxMfHF3nd89ChQyr37e7uDgCIiIhQqouIiICRkVGxl/AkEglatGgBAHjx4oVSfUFCJOZsEREREVVeoi+lFWyncerUKaxcuVJtAQFA69atYW9vj1OnTmHGjBkKCzyGhYVhwIABCmsYJSYmwtraGvr6/3s6gwcPxoULF3DhwgUMHTpUXh4XF4d//vkHzZs3Z2JERERECkQnRoIgoFWrViW2Cw0NVblvfX19LF26FBMmTICvry+++OILpKenY+HChahevTpmzZolb3v8+HHMmjULXbp0UVghtE+fPjh69Ch8fX3h5OSEFi1aICEhAfPnz4eJiQm+/vprleMiIiKiyq1MCzzu2rWrxDZi1wtq27Ytdu7cCV9fX3To0AESiQRt2rTBvn37FNY3qlq1KszNzZXufpNIJPjxxx+xefNmzJ07F69evYK+vj7atm2L5cuXo379+qLiIiIiospLdGI0e/bsUrUraU+z4rRs2bLE5Ktt27a4fv16oXWGhoaYNm0apk2bJjoGIiIien+Innw9adKkUrVTdaNWIiIiIl0p8yayr1+/xsmTJ3H79m0kJSVh3bp1ePjwIZ49eyafoE1ERERUEZQpMTp8+DCWLVuGtLQ0CIIg3xLk6dOnGDNmDDw9PeHt7a2WQImIiIg0TfSltMuXL2P+/PmwsrLCuHHjsHDhQnld69atsX//fly6dAm//fabWgIlIiIi0jTRidGWLVswePBgnD59GnPmzMGoUaMU6ps0aYKvv/4aAQEBZQ6SiIiISBtEJ0a3b9/GzJkzlfZyeZu7u7vS7sBERERE5ZXoxCgrK0u+2WtRUlNTi9wqhIiIiKi8EZ0Y1atXDwcPHiy2zbFjx7iQIhEREVUYou9KGzRoEFasWIHbt29jyJAhcHFxAQDIZDI8fvwYBw8exLZt2+Dl5aW2YImIiIg0SXRiNHLkSFy5cgWBgYE4dOiQvLxJkyYQBAEA0L17dwwfPrzMQRIRERFpg+jESE9PDxs3bsQvv/yCX3/9FdHR0QDebC7boEEDjBgxAiNGjJCvbURERERU3pVpgUeJRIJRo0Zh1KhRSEtLQ2pqKiwtLWFiYqKu+IiIiIi0RvTk63eZmZmhVq1aSknR8ePH1TUEERERkUapLTEqypdffqnpIYiIiIjUotSX0nh3GREREVV2pU6MAgMDlcokEon8DrSi6jj5moiIiCoKlSZfBwcHy/+fm5uLb775BtWqVUO/fv1ga2sLMzMzpKWl4cmTJzhy5AgiIyOxZs0atQdNREREpAmlTozq1auH2rVryx+vW7cOH330EcaMGaPU1tnZGZ07d8bOnTuxf/9+LFy4UD3REhEREWlQqSdfnzhxQuHxoUOHMGTIkGKP8fT0xOnTp8VFRkRERKRlou9KS0xMRE5OTrFtcnJy8OLFC7FDEBEREWmV6MTIzs4OP/30U7FtNm/eDDs7O7FDEBEREWmV6JWvhw0bhu+++w63b99Gr169UL9+fZiYmCAjIwPR0dE4fvw4bty4gXnz5qkzXiIiIiKNEZ0YjRs3DrGxsdi/fz9CQ0OV6gVBwPDhwzF27NiyxEdERESkNaITI4lEgmXLlqFfv344dOgQ7t27h9TUVJibm6NRo0YYOHAgPvzwQ3XGSkRERKRRZdpEFgDc3d3h7u6ujliIiIiIdErje6WdOnVK00MQERERqYXGE6MZM2ZoeggiIiIitRB9KY2byhIREVFlIzoxKmxT2cJwE1kiIiKqKMo0+frtTWULZGZmIiEhAadOncLTp0+5TxoRERFVGKITo48++khhU9m3OTo6ol27dti/fz8CAwPxxRdfiA6QiIiISFtET7728/MrsU2vXr1w4MABsUMQERERaZVG70pLTEzEy5cvNTkEERERkdqIvpT2+PHjIusyMjIQExODjRs3wsnJSewQRERERFolOjHy8PAo8Y4zQ0NDbNq0SewQRERERFpVprvSBg4cWGi5sbExPvjgA/Ts2RO2trZlGYKIiIhIa8qUGPn4+KgrDiIiIiKdEz352t/fX51xEBEREemc6MTo6tWrxdYPHz4cY8aMQXR0tNghiIiIiLRKdGK0YcOGYutHjRoFAwMDLFmyROwQRERERFoleo6RIAjF1vft2xedO3dGp06dxA5BREREpFWlToxSU1Px+vVrAG+SIolEgidPnhSZIGVlZeHy5cswNTVVT6REREREGlbqxOjnn39WuHwmCAI8PDxKPO7f//63uMiIiIiItKzUiZGrq6t83SJBEHD48OEi1zECACsrKzRu3Bi9e/cua4xEREREWlHqxKhbt27o1q2b/PGhQ4e4jhERERFVKlzHiIiIiCif6MTI3d29yLrU1FRkZmaK7ZqIiIhIJ0QnRgkJCVi/fj3Wr18vv1stLS0N48aNQ6tWrdCyZUssXbq0xNv6iYiIiMoL0YnR4cOHsWnTJsTHx8vLVq9ejUuXLqFKlSpwdHTEr7/+ioMHD6olUCIiIiJNE73A49mzZ7F48WIMHz4cAJCSkoLDhw/Dzs4OR44cgbm5ObZu3YqAgAB4enqqLWAiIiIiTRF9xujhw4fo27ev/PGZM2eQmZmJkSNHwtzcHAAwePBgPHz4sOxREhEREWmB6MQoKysLUun/Dj9+/DikUqlCsmRmZoasrKyyRUhERESkJaITI3t7ewQFBQEA7t27hwsXLuDDDz9ErVq15G0iIyNhY2NT9iiJiIiItED0HKMhQ4Zg4cKF2LVrF6Kjo5GXl4fPPvtMXh8dHQ1vb280bdpULYESERERaZroxGjEiBGIj49HYGAgDAwMMHHiRPneaUFBQZg2bRoAYOrUqeqJlIiIiEjDRCdGUqkU8+fPx/z585XqunXrhnv37pUpMCIiIiJtEz3HqCy6du2qi2GJiIiIiqWTxOjRo0e6GJaIiIioWDpJjCQSiS6GJSIiIiqWThKj0goNDcWoUaPQtm1btG/fHl9++SWePn0qqq/bt2+jYcOG8gniRERERO8qt4nRlStXMGbMGLRo0QLnz5/HiRMnkJycjGHDhuHZs2cq9ZWTk4MFCxZAJpNpKFoiIiKqDMplYpSbm4vFixfD3t4eM2fOhL6+PiwtLeHt7Y3nz59j7dq1KvW3efNmmJqawtbWVkMRExERUWVQLhOjkJAQxMXFoUePHgrbjtSqVQvNmzfHsWPHkJaWVqq+oqKisH37dnh7eyv0RURERPSucpkpXL16FQDg4uKiVOfq6oqsrCzcunWrxH7y8vKwYMECTJgwAY6OjmqPk4iIiCoX0Qs8alJMTAwAoGbNmkp1BWWxsbFo165dsf3s3LkTWVlZmDhxolrjk8lknK9EREQalZeXp/SY3z3iqPK66SQxEgSh2PrU1FQAgLGxsVJdQVlKSkqxfcTFxWHdunXw9/eHvr56n2ZkZKRa+yMiInrXw4cPFR7fv38f2dnZOorm/SE6YyhYvbpLly5YtGiRSscGBweLHbZUBEHAwoUL8emnn6Jx48Zq79/Z2RmmpqZq75eIiKiAoaGhwuMGDRqgYcOGOoqmYktPTy/1SQ3RidGjR4/w8ccfw9PTU+Vja9euXWy9ubk5ACAzM1OprqDMwsKiyOP37duHxMRETJ8+XeXYSkNPTw96enoa6ZuIiAiA0g1DUqmU3z0iqfK6iU6MTExMsHTpUo2cOalXrx4AIDExUamuoMzBwaHI44ODg/Hy5UulxRyTkpIAAO3btwcAzJgxA8OGDVNHyERERFQJiE6MXFxckJCQIE9iiuLl5QUfHx+V+nZ3d4efnx8iIiLQp08fhbqIiAgYGRmhWbNmRR6/ZcuWQssLEqUzZ86oFA8RERG9H0Tfrj99+nT4+PgUernrbYcOHVK579atW8Pe3h6nTp1SmJWfkJCAsLAw9O3bF2ZmZvLyxMRE5ObmqjwOERER0dtEnzEKCwtDdnY2OnfujI4dO8LW1hZGRkbqCUpfH0uXLsWECRPg6+uLL774Aunp6Vi4cCGqV6+OWbNmydseP34cs2bNQpcuXeDn56eW8YmIiOj9JDoxWr9+vfz/v//+e5HtJBKJqP7btm2LnTt3wtfXFx06dIBEIkGbNm2wb98+hfWNqlatCnNz8yK3+8jOzkaXLl0AKM8xOnv2rNKsfyIiInp/lWmBH39//2LrBUHA2LFjRfffsmVL7Nq1q9g2bdu2xfXr14usNzQ0xMWLF0XHQERERO8P0YmRoaEh3N3dS2zHjVuJiIioohA9+To8PLxU7XgHGBEREVUUattE9vnz57h37566uiMiIiLSujIlRpmZmfjhhx/kd6YNHjwYAHDhwgWMHTuWe4oRERFRhSI6MUpNTcXw4cPh5+eHhIQEWFpayjeHdXJygrGxMUaNGqW0CR4RERFReSU6MfLz80NiYiK8vb0RFhaGkJAQeZ2NjQ38/PzQq1cvri1EREREFYboxOj06dNYvXo1PD09YWJiUmibiRMn4tq1a6KDIyIiItIm0YnRkydP0Lp162LbVKtWrdCNYImIiIjKI9GJkbm5OeLi4optExkZCUtLS7FDEBEREWmV6MSodevW8PLyQnx8fKH1KSkpWLFiBdq1ayc6OCIiIiJtEr3y9bRp0zBkyBD06tUL7u7ucHV1BQD4+vri0aNHOHPmDARBwKpVq9QWLBEREZEmiT5j5OjoiJ9++gnW1ta4fPkyduzYAUEQ4OfnhyNHjsDc3BybN2+Gg4ODGsMlIiIi0pwybSLr7u6O4OBgBAcHIzw8HKmpqbCwsECzZs3QpUsX7lxPREREFUqZEiPgzWayvXv3Ru/evQutX79+PaZNm1bWYYiIiIg0TvSltK5du5aq3YYNG8QOQURERKRVohOjR48eFVufmpqK+fPni+2eiIiISOvKtInst99+W2j5pUuX0K9fPxw6dKgs3RMRERFpVZkSo6ioKCxfvlz+OCMjA9988w3Gjx+PZ8+ecW4RERERVSiiJ1/b2dnhp59+wvjx4+Hj44Nu3bphwYIFiI+Ph6OjI1avXo1GjRqVeMmNiIjobWlpaYiNjdV1GDr37mvA1+QNBwcHmJmZaax/iSAIQlk6SE1Nxfjx4xEeHg4AGD16NL788stKeat+eno67t69Czc3N5iamuo6HCKiSunvv//mHFUq0sqVK9GoUSOVjlHl+7tMl9KAN3umbdu2DQ0bNkT37t3h5eWlkBSV9u41IiIiIl0r9aW0a9euFVv/+eefY9GiRfLLagUeP34sPjoiIiIiLSp1YjRq1ChIJJJi2wiCgJ07d8Lf37/MgREREQGAWbNq0LMy0nUYOiHkCcjLlEFqrAeJtPjv4MpKlpyFtFsvtDaeSpOvp06dqlLngiBg48aNKh1DRET0Nj0rIxhUN9Z1GPSeUCkxEnP7PVe+JiIiooqi1JOvd+/eLWqA4OBgUccRERERaVupE6MPP/xQ1ADr168XdRwRERGRtpX5dv2ScFsQIiIiqihEr3wNAHfu3MG6detw48YNvH79Wl0xEREREemE6MTozp07GDFiBMzNzdGgQQOEhoaiVatWAICsrCxERUUhIyMDLVu2VFuwRERERJokOjHasGEDPDw88P3330NPTw9ubm7YtWuXvD45ORmzZ8/mytdERERUYYieY3Tjxg3MmDEDenp6hdZbWVlh4cKFCAgIEB0cERERkTaJTozS0tJgZ2cnf2xoaIi0tDSFNjY2NoiJiREfHREREZEWiU6MbGxsEB8fL39sa2uL0NBQhTYXL17kLvRERERUYYhOjBo3bgxvb288f/4cAODu7o6FCxdi9+7dOH/+PLZu3YqFCxeicePGaguWiIiISJNEJ0Z9+vRBWFgYpk+fDgCYOHEiMjIysHz5ckyaNAnff/89MjIyMHPmTHXFSkRERKRRou9K69atG8LCwuSP69ati4CAAPz88894/PgxbG1t8emnn6Jhw4ZqCZSIiIhI08q0wOO7HB0dsWzZMnV2SURERKQ1atsS5Pnz57h37566uiMiIiLSujIlRpmZmfjhhx/QuXNndOzYEYMHDwYAXLhwAWPHjkVkZKRagiQiIiLSBtGJUWpqKoYPHw4/Pz8kJCTA0tISgiAAAJycnGBsbIxRo0bh4cOHaguWiIiISJNEJ0Z+fn5ITEyEt7c3wsLCEBISIq+zsbGBn58fevXqBT8/P7UESkRERKRpohOj06dPY/Xq1fD09ISJiUmhbSZOnIhr166JDo6IiIhIm0QnRk+ePEHr1q2LbVOtWjUkJiaKHYKIiIhIq0QnRubm5oiLiyu2TWRkJCwtLcUOQURERKRVohOj1q1bw8vLS2G/tLelpKRgxYoVaNeunejgiIiIiLRJ9AKP06ZNw5AhQ9CrVy+4u7vD1dUVAODr64tHjx7hzJkzEAQBq1atUluwRERERJok+oyRo6MjfvrpJ1hbW+Py5cvYsWMHBEGAn58fjhw5AnNzc2zevBkODg5qDJeIiIhIc8q0JYi7uzuCg4MRHByM8PBwpKamwsLCAs2aNUOXLl1gaGiorjiJiIiINK7Me6UZGhqid+/e6N27tzriISIiItIZtWwim5SUhIiICKSmpsLc3Byurq6oWrWqOromIiIi0poyJUbx8fFYvnw5zp8/L98OBACkUik6d+4MLy8v1K1bt8xBEhEREWmD6MQoJiYGn376KV6+fAlzc3PY29vDxMQEGRkZePjwIc6cOYNbt25hz549+OCDD9QZMxEREZFGiE6MvvvuOxgaGsLPzw+dOnWCVPq/G9zy8vLw3//+F99++y2+++47rF+/Xi3BEhEREWmS6MQoJCQEfn5+aNWqlVKdVCqFh4cHzM3NMWXKlDIFSERERKQtotcxysvLQ/PmzYtt06JFC+Tl5YkdgoiIiEirRCdGLi4uePjwYbFtYmNj0bRpU4WyQ4cOiR2SiIiISKNEJ0aff/45Fi9eXOReafHx8fD29saXX36pUO7l5SV2SCIiIiKNEj3H6I8//kBSUhJ69eqFRo0awdbWFqampkhPT8eTJ0/w999/o0mTJtizZ4864yUiIiLSGNGJUWBgoPz/4eHhCA8PV2pz8+ZN3Lx5U6FMIpGUeozQ0FD4+voiKioKUqkUbdq0wZw5c2BjY1Pisffv38fevXtx/vx5JCcnQyaTwcXFBSNHjuQq3URERFSoMi3wGBwcrFJ7QRDQvXv3UrW9cuUKxo8fj/Hjx2PHjh1IT0/H7NmzMWzYMBw4cAA1atQo8tgXL17g448/RqNGjbBp0yY4OjoiJSUFPj4+mDlzJqKjozF16lSVYiciIqLKT3RiZGdnh9q1a6t8nK2tbYltcnNzsXjxYtjb22PmzJmQSqWwtLSEt7c3unTpgrVr18LHx6fI4wvuhFuxYgUcHR0BABYWFvj2229x6dIlbNq0CSNGjIC1tbXK8RMREVHlJXry9ZkzZzR2XEhICOLi4tCjRw+FhSNr1aqF5s2b49ixY0hLSyvyeFNTU0ybNg2urq4K5QYGBmjcuDFycnJw584dUfETERFR5SU6MSpKfHw8/P39ERAQgNevX4vq4+rVqwDeLAnwLldXV2RlZeHWrVtFHm9mZobp06cXWpebmwsAsLKyEhUbERERVV6iL6WFhoZi3rx5AIBffvkFtra2CA8Px+jRo5GVlQVBELBx40bs37+/2PlAhYmJiQEA1KxZU6muoCw2Nhbt2rVTqV+ZTIbbt2+jbt26aNSokUrHvtuPTCYTfTwRERWNCwNTcfLy8lT+DlalvejE6MiRIzA2NsaiRYtQq1YtAG/m9GRmZmLIkCFwcnKCv78/tm7dqvLaRampqQAAY2NjpbqCspSUFJVj/uOPP/Ds2TP8+OOPCpfoVBUZGSn6WCIiKl5JiwfT++3+/fvIzs7WWP+iE6OwsDCsWLECzZo1AwA8ePAAN2/eRMeOHbF8+XIAQMOGDfH111+Xi0UdX7x4AR8fHwwfPhw9e/YsU1/Ozs4wNTVVU2RERPQ2Q0NDXYdA5ViDBg3QsGFDlY5JT08v9UkN0YnRP//8Azc3N/njU6dOQSKR4JNPPpGXNW3aFAkJCSr3bW5uDgDIzMxUqisos7CwKHV/6enpmDRpEho3boyvv/5a5XjepaenBz09vTL3Q0REyspyRp8qP6lUqvJ3sCrtRb/7zM3N8eLFC/njI0eOwMzMDJ06dZKXZWVlwcTEROW+69WrBwBITExUqisoc3BwKFVfmZmZmDx5MqpUqQJfX18mNERERFQk0YlR48aNsWbNGkRFRWHdunWIjY1Fnz59FE6Bnjt3DnZ2dir37e7uDgCIiIhQqouIiICRkZH8El5xsrOzMXXqVEgkEmzYsAFGRkYA3pztevnypcpxERERUeUmOjGaPHky/vjjD/Tr1w8bNmyAmZkZJk2aBAB49OgRvv/+eyxZsgSdO3dWue/WrVvD3t4ep06dUrg7ISEhAWFhYejbty/MzMzk5YmJifLb8AtkZ2dj+vTpyM7Ohp+fn8JE7vXr1+Ps2bMqx0VERESVm+g5Rs2aNcO+fftw5MgRSKVSDBkyBHXq1AEAJCcn48WLF+jVqxcGDhyoelD6+li6dCkmTJgAX19ffPHFF0hPT8fChQtRvXp1zJo1S972+PHjmDVrFrp06QI/Pz8Ab9Yqmj17Ni5cuIDRo0dj69atCv3fvXtXflaKiIiIqECZ9kpr1KhRoesBNWzYsNgtO65du4ZWrVoV23fbtm2xc+dO+Pr6okOHDpBIJGjTpg327dunsL5R1apVYW5urrDVyP3793H69GkAwPbt21V9WkRERPSeKlNiJNbo0aNx9+7dEtu1bNkSu3btKrZN27Ztcf36dYUyNze3QucnERERERVHJ/dECoKgi2GJiIiIiqWTM0YSiUQXwxIRUQWUm5yl6xBIh7T989dJYkRERFSUd+8yTr/1ooiW9D569/2hblxelIiIyhWuM0fF0fT7g4kRERGVK1WrVtV1CFSOafr9wUtpRERUrujrK341mTarBn0rIx1FQ7qWm5ylcDn13feHujExIiKick3fyggG1Y1LbkikBrxdn4iIiCifThKjkla9JiIiItIF0YmRl5eX6EFLWs2aiIiISBdEJ0aHDh1SYxhEREREuid68rUgCOjatWuJ7QwMDGBjY4MuXbpgxIgRMDQ0FDskERERkUaJTozs7OyQmpqK5ORkAICVlRXMzMyQlpYmL6tevTpyc3MRGhqKK1eu4Pfff4e/vz9MTEzUEz0RERGRGom+lLZ9+3bUqFEDy5Ytw40bNxASEoIzZ84gJCQEN27cwNKlS1GvXj0EBgYiPDwcP/30E549e4affvpJnfETERERqY3oxGjNmjWYO3cuhg4dClNTU4U6U1NTDBs2DBMmTMCqVasglUrRuXNnLF68GCdPnixz0ERERESaIDoxunr1Ktq2bVtsm7Zt2+L8+fPyx61atcKjR4/EDklERESkUaITo8zMTDx9+rTYNk+fPkVaWpr8sZ6eHoyMuKw7ERERlU+iEyMXFxcsWbIEqamphdanpKTgm2++gaurq7zs6tWrqFmzptghiYiIiDRK9F1pkydPxtSpU/HRRx+hffv2qFevHkxNTZGeno7o6GhcunQJ6enp8PPzAwDs378fa9asQc+ePdUWPBEREZE6iU6MPDw8sGrVKixduhQnT56ERCKR1wmCAEtLS3z33Xfo1KkTACA+Ph5dunTB0KFDyx41ERERkQaITowAoH///vDw8EBwcDDu3r2L1NRUWFhYoGHDhvDw8ICZmZm87ezZs8scLBEREZEmiU6Mrl27hlatWsHc3BwDBgzAgAED1BkXERERkdaJnnw9evRodcZBREREpHOiEyNBEPDRRx/hhx9+QFxcnDpjIiIiItIJ0YkRAKxYsQLx8fHo378/Ro4cicDAQGRkZKgrNiIiIiKtEj3HaNCgQWjXrh3atWuHlJQUHD16FHv27MGyZcvQq1cvDB48GC1btlRnrEREREQaJfqMkY+Pj/z/FhYW+PTTT7F//37s27cPVlZWmDlzJnr27MlNY4mIiKjCKNOltMLk5uYiOzsbOTk5ePjwIX744Qd1D0FERESkEaIvpY0ePRr+/v4AgNevX+PIkSM4ePAg7t69C0EQYG5ujmHDhmHw4MFqC5aIiIhIk0QnRlevXsXFixfx22+/4cyZM8jOzgYAtG7dGoMHD0aPHj1gbGystkCJiIiINK1MK19PmDABgiCgdu3aGDRoEAYNGoTatWurKzYiIiIirSpTYtSvXz8MHjwYbdq0UVc8RERECmTJWboOQWeEPAF5mTJIjfUgkUpKPqAS0vbPv0yJ0erVq9UVBxERUaHSbr3QdQj0HhF9V9q9e/dK1e7QoUNihyAiIiLSKrXfrv8uLy8vTQ9BREREpBZlupSWlpaG/fv348aNG0hOToYgCOqKi4iI3lMODg5YuXKlrsPQudjYWPj5+ckfT548GQ4ODroLqJzQ9GsgOjFKSkrCiBEj8PDhQwCARCIpNDGSSN7PyWJERCSOmZkZGjVqpOswyh0HBwe+Llog+lKar68vTExMcPjwYdy5cweCIODevXu4d+8ebt26hW3btqFu3brYvn27OuMlIiIi0hjRidH58+exZMkSuLi4QCqVKpwZMjIyQvv27eHt7c290oiIiKjCEJ0YJSYmomHDhv/rSCpFTk6OQpumTZvi9u3b4qMjIiIi0iLRiVG1atXw+vVr+eNatWohKipKoU1kZCQnZBMREVGFIToxcnJyUpg/5OLigm+//Rb3799HdnY2wsPDsXjxYtSvX18tgRIRERFpmui70rp164Zvv/0W0dHR+OmnnzB+/HiMGjUK/fv3V2i3Zs2aMgdJREREpA2iE6NBgwahSZMmMDExAQC0bNkSq1atwoYNG/Do0SPY2dlhzJgx6NOnj9qCJSIiItIk0YmRsbExGjdurFDWv39/pTNGRERERBWFxrcEISIiIqoomBgRERER5WNiRERERJSPiRERERFRPiZGRERERPmYGBERERHlY2JERERElI+JEREREVE+JkZERERE+ZgYEREREeVjYkRERESUj4kRERERUT4mRkRERET5mBgRERER5dPXdQDFCQ0Nha+vL6KioiCVStGmTRvMmTMHNjY2pTo+Ly8P27dvx/79+/H69WtYWlpiyJAhGD9+PKRS5oRERESkqNxmB1euXMGYMWPQokULnD9/HidOnEBycjKGDRuGZ8+elaqPRYsWwc/PDytXrsTly5exatUqbN68GYsWLdJw9ERERFQRlcvEKDc3F4sXL4a9vT1mzpwJfX19WFpawtvbG8+fP8fatWtL7CMkJAQHDhzAxIkT0aJFCwBA8+bNMWnSJBw4cADXrl3T9NMgIiKiCqZcJkYhISGIi4tDjx49FC551apVC82bN8exY8eQlpZWbB8BAQEAgJ49eyqUFzzet2+fmqMmIiKiiq5czjG6evUqAMDFxUWpztXVFdevX8etW7fQrl27YvswNjbGBx98oFBub28PU1NT+RhE7zuZTIYbN24gMTFRZzHk5uYiOjoa2dnZOouhPDE0NET9+vWhr6+7j+iaNWviX//6F/T09HQWg67JZDLExMQgKytLJ+PHxsYW+1ibjIyMUK9evffi/VAuE6OYmBgAb34x31VQFhsbW2RilJ6ejsTERNStWxcSiaTQPmJjY5GRkQETE5NSx5WXlwcASEtLg0wmK/VxROVVbm4u1q9fj/j4eF2HQu+4e/eurkNA3bp1MW3aNJ0maLpSXn43bG1t5f8/fPiwDiOp2O+HzMxMAP/7Hi9OuXx2qampAABjY2OluoKylJSUIo8vqCsq6Xm7D1USo4K/GuLi4kp9DFF516dPH12HQOVYdHS0rkPQGf5uKKvo74esrCyYm5sX26ZcJkbllZWVFRwcHGBkZMTb/YmIiCqIvLw8ZGVlwcrKqsS25TIxKsjmCk59va2gzMLCosjjC+oyMjIKrS9NH4XR19dHtWrVVDqGiIiIdK+kM0UFyuVpj3r16gFAoZNBC8ocHByKPN7U1BQ1a9bE8+fPIQhCoX3UqlVLpctoREREVPmVy8TI3d0dABAREaFUFxERASMjIzRr1qzEPjIyMvDw4UOF8vj4eKSnp8vHICIiIipQLhOj1q1bw97eHqdOnVKYQZ6QkICwsDD07dsXZmZm8vLExETk5uYq9DFs2DAAwMmTJxXK//jjD4V6IiIiogLlMjHS19fH0qVLERcXB19fX8hkMqSkpGDhwoWoXr06Zs2aJW97/PhxdOzYEdOmTVPoo3Xr1vD09MSWLVsQFhYGALh16xY2b94MT09PnjEiIiIiJeVy8jUAtG3bFjt37oSvry86dOgAiUSCNm3aYN++fQrrG1WtWhXm5uYKaz0UWLZsGerVq4d58+YhJSUF5ubmmDhxIsaPH6/Np0JEREQVhEQobHYyERER0XuoXF5KIyIiItIFJkZERERE+ZgYEREREeVjYkTlRrdu3fDhhx/CxcUFISEhug6HSuHvv/9G+/bt0bRpU7i4uKh0bMGNFc+ePRM1dlBQENq3b4/GjRvDw8NDVB/l3atXr9C+fXu0aNECLi4u+Oeff3QdEmnZqFGj4O7uDhcXFxw8eFDX4bwXmBi9p1xcXDB//nxdh6EgKCgICxcu1HUYpIJGjRrh4sWLRW626eHhgVGjRhVal5ycjNTUVGRnZ4sau1u3brh48SJatGgh6nh1GTVqlMYSsypVquDixYsYN26cRvovTnn8jCiP1q1bp9GkddeuXVi3bp1G+i6OJt/X5R0TIyLSicWLF+Py5cuoXbu2rkMhIpJjYkREOiGRSLhfIRGVO+V2gUfSjD179mDDhg0A3qwafv78eQBvLols3rwZALB3717s2bMHT58+hUQiQZMmTTBlyhT861//kveTlZWFXbt2ISgoCI8ePUJGRgZsbW0xcuRIfPLJJ0rjpqWlwc/PDydOnEB6ejoMDQ3h4OCA7t27Y+jQoTA0NFRon52djZUrV+LUqVNISUlB8+bN8c033yidXcjNzcW2bdtw8OBBvHz5Enp6emjVqhW++OILODk5AQDu3buH8ePHIyUlBVlZWfjzzz+xYsUK3Lx5E0+fPkXt2rVx5swZ9b3IOnL27FksWrQIycnJqFmzJvz8/LBs2TJERESgSpUqmDZtGvr3749Lly5h7dq1iImJQYMGDbBkyRK4ubkBeLO9zqBBg+SvVcF+ha9evULfvn2VykuKJSkpCYmJiWjfvj0AwNraGkePHoWnpyfi4+ORnJwMHx8fDB48GElJSejXrx/S09ORnp6O3bt345dffkFYWBhev34NV1dXfPXVV/jwww9L9Xq8ePECvr6+OHPmDLKzs2Fubg4PDw9Mnz4dVlZWJR7/6NEj+Pr64tq1a8jJyYGpqSmaN2+OQYMGoW3btvL3VXJyMmQymfw5Fjz/UaNGISoqCqmpqfD390fr1q0BvLlEcefOHaVyAMjLy8OWLVuwb98+pKWloUaNGkVeigTEv/+//fZb3Lp1C1KpFF27dsW8efPkSWppPiOCg4OxZcsW/PPPP5BIJKhRowY6d+6M4cOHo1atWqX6+ZR3mZmZ2LRpk/wzy8DAAA0aNECPHj0wZMgQAG8u57548QIAMGTIEOjp6QEA1qxZg//+9784dOgQXr58iWnTpmH69OkAgLVr1yIgIECpvEBQUBDWr1+PuLg4WFtbo3v37mjbtm2RcZ48eRLbtm1DbGwsAKBBgwaYOHEiPvroI3mbbt264eXLl0hNTcXWrVtx8eLFIj9bS3pfv/tZXSkJ9F5ydnYW5s2bp1S+bNkyoXHjxsLJkycFmUwmpKamCgsWLBAaNWokXLp0Sd4uPj5ecHZ2Fnbs2CHIZDJBJpMJv//+u+Dm5iZs3bpVoc/MzExh8ODBQufOnYW7d+8KgiAIycnJwuzZswVnZ2fhzp078rYHDhwQnJ2dhaFDhwrnzp0T8vLyhH/++Ufo0qWLMGDAAIV+8/LyhClTpgju7u5CSEiIIAiC8OLFC2HSpElC8+bNhcjISIX28+bNE5ydnYX/+7//k4+5d+9eoUuXLuJfyHJo5MiRgru7uzBr1izh5cuXQm5urvDtt98KLi4uQmBgoPCf//xHyMrKEl6/fi14enoKXbp0EXJychT6KHit3qVqeZcuXYSRI0cWGueVK1cEZ2dn4cCBAwrlP/74o+Ds7Cz06NFDOHfunCCTyYRXr14J48ePFxo3bizcvHlT6fm++zNMSkoSunbtKgwaNEiIj48XBEEQ7t27J3Tv3l34+OOPhfT09EJjKpCTkyP06NFDGDdunPDq1StBEATh8ePHgqenp9LzKWz8AgXv5ytXrpSqfOnSpYKzs7Pw66+/CjKZTEhLSxOWLVsm9O7dW3B2dpY/F0EQ//6fPn26EBMTIwiCIFy8eFFwc3MTvL29lWIv6jPiypUrgqurq7B7925BJpMJgiAIwcHBQqNGjZR+lhXZ/PnzhY4dOwrR0dGCIAhCWlqasGDBAqX3ecH79e2fTYGCz8kff/yxVOUnTpwQXFxchPnz5wvp6elCTk6OEBgYKPTr16/Q35UdO3YIzs7Owu7du4WcnBwhKytL8PX1FZydnYWDBw8qtC3sszUuLq7Qz1ZBKP59XdnxUhrJhYWFYdeuXfjkk0/Qo0cPSKVSmJmZ4euvv4aFhQV8fHzkbQ0NDeHh4YGxY8dCKpVCKpWib9++6NmzJ7Zu3QrhrQXVd+zYgdu3b2Pu3LlwdXUFAFhaWmL58uVFXkpp0qQJOnXqBIlEgtq1a6N///64e/euwgTHY8eOISgoCJ9//rl87ztra2t4e3sjJycHa9euLbTvfv36yc+Q9OrVC1OmTCnbC1cOvXr1CpMmTUKVKlWgp6eHzz77DIIg4Pvvv8fUqVNhaGgICwsLfPLJJ3j06BH++usvXYespF+/fujUqROkUimsrKywZMkS5OTkKLwPi/Kf//wH8fHxWL58OerUqQPgzWTir776CpGRkdi3b1+xx0dFRSE2NhYfffSR/OySra0tZsyYUej2Q+rw4MED7N69G+7u7hg+fDikUilMTU3h5eWFrKwspfZi3/99+/aFg4MDAKBdu3Zo1qwZgoKCSh1ncHAw8vLy0L9/f0ilb75CPDw8MHjwYFhYWKj4rMuvoKAgNGvWDPXq1QMAmJqaYu7cufLH6iaTybBixQqYmJhg0aJFMDExgb6+PgYOHCj/vHrb48eP8f3338PDwwOffvop9PX1YWhoiC+++AIuLi5YvXp1oTc2vP3ZWrduXfTr10/ps/V9x8SI5I4dOwYA6NChg0K5kZERnJ2dERERgYSEBABAzZo1sWnTJqU+HBwckJSUJD+9XFy/JiYm2L59O+rWravUz7uXSwq+jArGf7vft0/1AkD16tVhY2ODS5cuITc3V6nvVq1ayf9vZWUlPy1emZiYmMiTUADyyxtubm4wMDCQlxe8rk+fPtVugKXw7uWDunXrokGDBggLC0NSUlKRx+Xl5eHEiROwtrZGw4YNFeqaNGkCAPjzzz+LHbtq1arQ09PDjh07cO7cOeTl5QEAOnbsiNWrV4t5OiU6c+YMBEFQuAQCAHp6egqX2wqIff+/+7tlZ2en8HtVkurVqwMAFi1ahLi4OHn50qVL0b1791L3U95Vq1YN//3vf/Hrr78iPT0dwJvPiz/++EMj4/39999ISEiAu7s7zMzMFOoKu5R26tQp5OTkKH2uAkDjxo2RlJSE27dvK9UV9vMHoNJ7oLLjHCOSK7hGPW/ePOjrK741srKyYGpqioSEBPmXbHBwMPbs2YOYmBhkZmZCIpHIP0AyMzPlxz58+BAmJiawtLRUGvPteUtvq1q1qsLjgi/ztz/oC+IdM2YMJBKJQvvMzExIpVIkJyejWrVqCnUFH+yVWZUqVRQeF8wLKOp1zcjI0EpcqqhRo4ZSWc2aNREZGYn4+HhYW1sXelxSUhJev34NfX19paQBePOX/6tXr4odu1atWvj222+xYsUKTJo0CdWrV4eHhwc8PT3RvHlzMU+nRPHx8QCKft7vEvv+f/d1MzAwKDSBKsrIkSPx119/4cSJEzhx4gQaNWqEXr16YfDgwZXqd2vlypWYPXs2vvnmG6xatQrt27dH//790a1bN/lcInUq7udf2LytmJgYAMAPP/yAjRs3KtQVzIkrbI2w0ny2vu+YGJGSDRs2oGXLlsW22b17N5YuXYp+/fph9erV8g/fdevWYf369Urtc3NzIQiC0gd4UQpO0ZfGwYMHYWNjU+r2qvRdURX1HMv63AvOnFQEdnZ2OH36tOjjhw4dit69e8sTgN9++w0BAQEYM2YMFixYUKbY1Pk6avv9b2pqinXr1uHBgwf4/fffcfToUaxZswabN2/Gxo0b5Zf1KrrmzZvj9OnTOHfuHE6cOIHTp08jKCgILVq0wM8//wxjY2PRfQtq3Lt90aJFGDBgQKnbvw+ff2XFV4jkCuYdJCYmKtUlJycrnJrfv38/AMDLy0vpL9LC+s3JycHLly+V6p4/f47U1NQyxVvYKeDExESunl0GBWcMc3JyFMrfvkSqac+fP1cqK3hvFnb5tYC1tTUsLS2RmJhY6BdQVFQU7t27V+zYgiBAJpPB3NwcQ4cOxfbt23Hs2DF88MEH2Llzp8IlpOIUvI7v/jVe2KVAe3t7AIX//hX2l7+u3v95eXkQBAGOjo6YMWMGTp8+jRUrViAlJQU//PCDRsbUhdzcXOjp6cHDwwPfffcd/vzzT3h4eCAsLAxHjx4tVR9FnY0p7Peo4D1d2M+/sLKCuU6F/fyzsrJw6dIl0Z+t7zsmRu8pExMT+Zdebm4uli5dip49ewJ4c+36XTt37sTKlSvlH/QFl2bePQP0+PFjpWMLVkUODg5WKE9JSYGHhwfCw8NFPYePP/64yHjXrFmDn3/+WVS/9L9T90+ePJGXZWdnFzpnoThvv8+AN7cq37lzp1THXrlyReFxfHw87t+/jxYtWhR5GQ148xdx7969kZmZqTSXSCaTYfLkyUp9v+vq1avo16+fQln9+vXRtWtXAMDr16/l5e8+x+3bt+Py5csA/vc6vvt7cf36daUxPTw8IJFIcO7cOYXyvLw8XL16Vam9pt//hX1GPH78GAsWLMDWrVvl7SQSCTw9PVGlShWkpKSUaczypFGjRgoJjKWlJYYNGwYACs+z4AaSguQnODgYv/76K4A3l60MDAxK9fNv1KgRbG1tce3aNaSlpSnUFfZ+7dmzJwwMDAo9K/r7779j9uzZZbq1vrj3dWXHxOg95eTkhOjoaMhkMly7dg0BAQFwdHTE6NGjcerUKRw4cAAymQyCIODkyZPYsWMH5s2bJz++d+/eAIDVq1fL5xWdO3cOv//+u9JYn332GRo3boyNGzfK/1J/9eoV5s+fj+bNm6NNmzainkOfPn3QrVs37NmzB2fPnoUgCMjNzcXu3bsRFBSEGTNmiOqX/vclvXXrVuTk5CAzMxOrV69WeQ6Jk5MT4uPjkZmZiZiYGGzdurXUp/L//PNPXLhwAYIgIDk5GUuXLoWBgUGpLmPNmjUL9vb2WLlyJaKiogC8+TIruNunNBPuHzx4gF9++UX+hffw4UMEBQWhQYMGCncJOTk5yW84SEpKwqZNm+RfbC1atEC1atWwb98+vHz5EjKZDIcOHSp0snv9+vUxevRoXL16FXv37kVeXh4yMjKwatWqQueAafr9X9hnRMHloz179sh/lwVBQGBgIF69eqWUTFZ0q1evlidBycnJ+O2332BiYoJu3brJ2zRo0AAAcP/+fchkMvz888/y+T+Ghobo2LEj/vvf/8pfr/DwcFy4cEFpLD09PSxcuBAZGRlYvnw5MjIyIJPJcOTIkUITEltbW3z11VcIDw+Hn5+f/A60kJAQrF69GnPmzClTYlTc+7qykwjqvNhJFcbNmzfxzTff4OnTpzA1NcXnn3+OoUOHAnhzmWzPnj14/PgxTExMUK9ePYVbgoE3H4Y7duxAQEAAnj59Cmtra7Rs2RLGxsbYt28fqlatCk9PT8yZMwfAmwUeCxZLy8zMhLGxMbp27Yrp06fLb/H95JNP5AviWVlZoWPHjlizZo3CgnhvlwNv/krbsWMHDh48iKSkJJiamqJhw4aYPn26/K6sdxctrF69OmrWrInAwEBtvuQaFx4ejs8//1y+MJu1tTV8fHzw9OlT+Pr64vnz5zAyMoKFhQVOnjwJb29vBAcHIzk5Gebm5nByclK4jf3YsWPYuHEjEhISULduXUydOhVBQUEIDAxE9erVMWzYMHTr1g2TJk1SeG2HDRsm/1KOiYnBwoULER0dDSMjIwwfPhyff/65wgKP5ubmqF69Ok6ePAngf/PUAgMDsWvXLly5cgWvXr1SWuAxKCgIS5YsUXi+M2bMkP9Vn5SUhHXr1iE4OBgymQwmJibo3LkzpkyZUuLl39TUVAQEBMgXMM3NzYWpqSk++ugjTJ48WeH458+fw8vLC3/99RcMDAzQvXt3LF68WH429e7du/KFNqtXry6fpLxgwQJYWVmhYcOG8rM7eXl52Lp1K/bu3YvU1FT571FmZiY2bNiAqlWromPHjvjuu+8AiH//f/755/j4448VFu0sKB85ciSAoj8j7t27h4CAAISEhCA5ORmCIMDW1hYjRoyAp6dnmd7D5cnhw4dx4sQJREZGIjs7G/r6+mjatCmmTJmicMenIAhYtmyZ/P3r5uaGlStXyv+ISEpKwrJly3D58mUYGhqiffv2GDNmDAYMGABTU1OYmpri5MmTMDc3B/DmjNO6desQFxeHKlWqoEOHDujUqROmTp0Kc3NzVK1aVWF5haCgIGzduhXR0dEwNjaGnZ0dJkyYoJC8iflsLel9XZkxMSKicqUgMQoODpavQUREpC28lEZERESUj4kRERERUT5eSiOicuHdTWTfnU9DRKQNTIyIiIiI8vFSGhEREVE+JkZERERE+ZgYEREREeVjYkRERESUj4kRERERUT4mRkREJdi4cSNcXFzk/4io8uLt+kREpTRq1ChcvXoVERERug6FiDSEZ4yIiIiI8jExIiIiIsqnr+sAiOj98/vvv2PXrl2IiYmBIAiwt7dHx44dMXDgQOjr66Nr167ytt7e3khJSUFAQAD++ecfWFlZoWfPnpg5cyYsLCyU+j537hy2bt2Kv//+GzKZDPXr18eQIUMwYsQISKX/+1swIyMDhw4dwunTpxEVFYWkpCRUr14dnTp1wowZM1CtWrUSn8c///yjECsADBo0CCtXrlQpnps3b+KTTz6RH7Nz505ERkbi119/RXx8PHJycpT6JSINEYiItMjf319wdnYWNm/eLLx8+VJISUkRjh8/LjRv3lyYN2+evN2BAwcEZ2dnoWfPnoKXl5fw9OlTIT09XQgICBAaNmwoeHp6CllZWQp9b926VXB2dhbmz58vJCYmCikpKYK/v7/g6uoqLFiwQKFteHi44OzsLHh7e8v7Dg0NFfr37y9069ZNSElJUYp95MiRgrOzs0JZVFSU0KlTJyEwMFCpvSrxCIIg/Pjjj4Kzs7Pw2WefCatWrRKePn0qPHnyROjTp4/Ca0NEmsPEiIi0auDAgYK7u7tS+X/+859CEyMPDw9BJpMptF25cqU8uSpw584dwdXVVfDw8BByc3MV2s+ZM0dwdnYWLly4IC+7f/++MGHCBKU47t69Kzg7Owvbtm1Tqns3MYqMjBQ6duwoHD16VKmtqvEIwv8SozFjxiiUHz58WNi9e7fSGESkfpxjRERaJZFIkJycjIsXLyqUT5gwAXPmzFFq37NnT4VLYADQu3dvAMDhw4flZfv27UNeXh4GDRoEPT09hfZ9+/YFABw8eFBe5uTkhC1btiiN5+zsDAC4ceNGsc8jIiIC48aNw/z58/Hxxx8r1asaT2HPr0D//v3x6aefFhsPEakH5xgRkVaNHj0a8+fPx/jx49GqVSv06dMH3bt3R/Xq1WFubq7U3s7OTqmsfv36AICoqChkZ2fD0NAQ4eHhAAA3Nzel9jY2NgCA27dvK5SHhoZi69atiIiIQEJCAmQymbwuOTm5yOdw9+5dfPbZZwCANm3aFNpGTDzv1hOR9jExIiKtGjhwIGrXro0tW7bgwoULuHr1KpYvX44ePXpgwYIFqFGjhkJ7U1NTpT5MTEwAAIIgIC0tDYaGhkhNTQUATJkypcixX7x4If//kSNHMHfuXDRt2hTr1q2Ds7MzDA0NAaDERRwnTJiAFi1a4MyZM/jmm2/w448/KrVRNZ63GRsbFzs+EWkOEyMi0rpWrVqhVatWSEpKwh9//IHdu3fj+PHjuHfvHo4cOQIDAwN52/T0dKXjMzIyAABSqRRmZmYAIL9DbceOHWjXrl2JMWzYsAGCIGDp0qVwdXVVKf5vvvkGXbp0wfDhw3Hy5EkcO3ZMfnmsgKrxEFH5wDlGRKRVFy5cQFpaGgDA2toan376KQIDA+Hk5ITo6GhERUUptH/8+LFSH9HR0QDezBMqOMvTrFkzAMCjR48KHffevXu4deuW/HFBOwcHB4V2mZmZJT6H7t27Q19fH6tWrYKRkRGWLl2KZ8+eKbRRNR4iKh+YGBGRVn399dcIDQ1VKDM0NIS9vT0AwMjISKHujz/+QF5enkLZ8ePHAbxZM6jAJ598Aj09PQQGBiqNmZ6ejvHjx+P8+fPyMltbWwBQ2t7j+vXrpX4ujo6OmD17Nl69eoXFixcr1KkaDxGVD0yMiEjrVqxYgZCQEKSlpeH169c4ePAgzp8/j44dO8onVheoU6cOFi1ahMTERGRkZGD//v3YtWsXmjVrhpEjR8rbubi4YO7cubh+/Trmz5+PBw8eIDMzE3/99RcmTZqEGjVqYMyYMfL2Y8eOBQAsWrQI4eHhyMjIwNWrV7FkyRKVnsuYMWPQunVrnD17FgcOHBAdDxGVD9xEloi06vr16zh8+DCuX7+OJ0+eQCKRoE6dOujfvz/+/e9/yyceHzx4EF5eXvDx8YFUKsX27dsRExMDS0tL9OrVC7NmzSr0LrYLFy5g27Zt+Ouvv5Cbmws7Ozv06NEDn332GaysrBTaHjt2DNu3b0d0dDQkEgkaN26M//u//8O4cePkbXx8fAAAXl5eCscWrETt4eGhdLnM398frVu3LnU8ha2gXTD24MGDVX2JiagMmBgRUbn0dmLE5ICItIWX0oiIiIjyMTEiIiIiysdLaURUrhQ13yY4OBh16tTRQURE9D5hYkRERESUj5fSiIiIiPIxMSIiIiLKx8SIiIiIKB8TIyIiIqJ8TIyIiIiI8jExIiIiIsrHxIiIiIgoHxMjIiIionz/D2JCrRg8nFF6AAAAAElFTkSuQmCC","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["student_reasoning\n","\n","Average statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","multiple students 1.0 0.000000 NaN 0.0 0.000000 0.000000 0.000000 0.000000\n","student 29.0 0.208633 0.163928 0.0 0.085106 0.166667 0.321429 0.615385\n","teacher 0.0 NaN NaN NaN NaN NaN NaN NaN\n","\n","\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# What about the student reasoning? How often does the student use reasoning?\n","quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We change this to \"avg\" because we're now looking at within-speaker statistics.\n"," value_as=\"avg\",\n"," # We can set the y-axis limits to [0, 1] because the student reasoning column is a binary column.\n"," yrange=(0, 1)\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"U7gV6jBIW4M9"},"source":["Note, the tutor has no `student_reasoning` because we did not annotate the tutor's utterances for student reasoning.\n","We can easily remove the tutor from the plot by dropping na values:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":574},"executionInfo":{"elapsed":374,"status":"ok","timestamp":1703934099027,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"R33PTU5eW4M9","outputId":"b478931f-fac6-4997-b7dd-4ac59014fd12"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":484},"executionInfo":{"elapsed":254,"status":"ok","timestamp":1703934100425,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"6TbigOpBW4M-","outputId":"4250489f-64e8-4426-bc05-86a578b3ec5f"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkYAAAHCCAYAAAAKFAY/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABAXklEQVR4nO3dd3xUVf7/8fckIY0kLEVCQEMohlAUUAhNdCnSXAtVcSkrxVUEBXaRhKKIdL+yGxWMVIEVBVZQVlBQ8MeC0uuyQAJSQg/NkB4yub8/nMw6BkJyM8lM4PV8PPbxcM4595zPsA+ct/eee6/FMAxDAAAAkIerCwAAAHAXBCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADZuH4xWrlypJk2aKCoqqtDHZmZm6t1331WbNm3UokULPfnkk1qxYkUxVAkAAO4EXq4u4FYSExP1xhtvKD4+XsnJyYU+3mq1asiQIfrpp5+0YMEC1axZUxs3btSrr76qxMREvfLKK8VQNQAAKM3c9ozRa6+9poiICM2fP9/U8V9++aW2bNmiv/71r6pZs6YkqW3bturRo4dmz56thIQEZ5YLAADuAG4bjGbOnKnhw4erTJkypo5fvny5vLy81K5dO4f2jh07Kjs7W59//rkzygQAAHcQtw1GISEhpo/NzMzUgQMHFBoaKj8/P4e+OnXqSJJ27NhRpPoAAMCdx233GBVFQkKCrFarKleunKevQoUKKlOmjE6dOlXoebOzs5WUlCQfHx95eLhtpgQAAL+Sk5OjzMxMlStXTl5e+UefOzIY5W7W/u3Zoly+vr66fv16oedNSkrSyZMni1IaAABwkbCwMFWsWDHfMXdkMCouPj4+kqTQ0FD5+vq6uBoARWUYhubOnav4+HgZhmFvt1gsCg8P1+DBg2WxWFxYIQBnyMjIUEJCgv13PD93ZDAKDAyUJKWnp9+0PyMjQ0FBQYWeN/fyWdmyZeXv72++QABuo3fv3hoyZIisVqu9zdPTUxMmTDD17wkA7sfT01OSCrQN5o7cKBMaGipPT08lJibm6bt69apu3Lih6tWru6AyAO6matWq6tGjh/3MkMViUY8ePYp0AwiA0uuODEY+Pj568MEHlZCQkOesUVxcnCQpMjLSFaUBcEM9evRQhQoVJP1yg0aPHj1cXBEAV7kjgtGFCxcc9gdIUq9evZSdna0NGzY4tK9bt05eXl7q1q1bSZYIwI35+vpqyJAhuueeezRkyBD2EAJ3sVIfjObOnavHHntMkyZNcmh/+umn1apVK7377rs6fvy4JOn777/XP//5Tw0ZMoRLaQAcREZGasGCBZxNBu5ybrv5eunSpZo1a5Z9Q+TatWu1efNm+fn56bvvvrOPu+eee+Tv76/g4GCH4z09PfXhhx/q/fff14ABA5SZmamKFSvqzTffVM+ePUv0uwAAgNLBYvz2GhRuKS0tTYcPH1bdunW5Kw0AgFKiML/fpf5SGgAAgLMQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANl6uLiA/u3btUkxMjI4dOyYPDw81b95co0aNUpUqVQp0/E8//aTZs2dr7969Sk9PV2BgoFq2bKkhQ4aocuXKxVw9AAAobdz2jNG2bdvUv39/NW7cWJs3b9bXX3+tpKQk9erVS5cuXbrt8XFxcerevbuOHj2qRYsWaevWrXrvvff0/fffq1u3brpy5UoJfAsAAFCauGUwys7O1vjx4xUaGqrhw4fLy8tLQUFBmjx5si5fvqyZM2fedo7FixcrPT1dI0eO1H333SdJioiI0ODBg3Xp0iWtWLGiuL8GAAAoZdwyGG3fvl0JCQnq0KGDPDz+V2JwcLAaNWqkNWvWKDU1Nd85Ll68KEn2UJQr9/P58+edXDUAACjt3DIY7dixQ5JUp06dPH0RERHKzMzU/v37850jPDxcknTixAmH9pMnT0qSatWq5YRKAQDAncQtN1/nhpmbbZDObTt58qRatmx5yzkGDx6sH374QTNnzlRoaKhq166t/fv3a+7cuXrggQfUq1cv0/VZrVZZrVbTxwMAgJJTmN9stwxGKSkpkiRfX988fbltycnJ+c5Rvnx5ffzxx5o0aZKefPJJlSlTRlarVT169FB0dPRN5y6o+Ph408cCAAD35ZbByBmOHj2qP//5z6pYsaLWrFmjmjVr6vjx44qOjlbv3r01e/ZsVatWzdTc4eHh8vf3d3LFAACgOKSlpRX4pIZbBqOAgABJUkZGRp6+3LbAwMB85xg/frzOnz+vRYsW2Tdc165dWzNnzlSHDh00btw4LVy40FR9np6e8vT0NHUsAAAoWYX5zXbLzdc1atSQJCUmJubpy20LCwu75fFpaWnat2+fqlSpctO70kJCQrRt27abBi8AAHD3cstgFBkZKemXhzT+VlxcnHx8fNSwYcNbHp+RkSHDMGSxWG7a7+HhoZycHKWlpTmnYAAAcEdwy2DUrFkzhYaGav369crJybG3X7x4UXv37tUTTzyhsmXL2tsTExOVnZ1t/1yhQgVVq1ZN58+fz/O8ogsXLujcuXOqWrWqKlSoUPxfBgAAlBpuucfIy8tLEydO1KBBgxQTE6NXX31VaWlpGjt2rCpVqqQRI0bYx65du1YjRoxQmzZtFBsba28fNWqURowYoddff10zZsxQSEiIzp8/r9dff105OTkaNWqUK74a4MBqterEiRPKzMx0dSl3PavVqqtXr6pChQrsIXQTPj4+qlGjBv9/oES5ZTCSpBYtWmjRokWKiYnRI488IovFoubNm2vZsmUOzzcqX768AgICFBIS4nB8586dVaFCBc2fP1/PPPOMcnJy5OHhoQcffFALFy5UixYtSvorAQ5u3LihqKgoHv8A5CM8PFzTpk1TmTJlXF0K7hIWwzAMVxdRWqSlpenw4cOqW7cut+ujyM6cOaOXX37Z1WUAbu/DDz/Uvffe6+oyUIoV5vfbLfcYAXeD4OBg+6trANxceHi4goODXV0G7iJueykNuNOVKVNGM2bMYI+RGzh58qTDHsWXXnop30eCoGSwxwiuUORgdP36da1bt04HDx7U1atX9f777+vUqVO6dOmSmjRp4owagTuWp6enateu7eoy8BthYWGqX7++q8sA4AJFCkZffvml3n77baWmpjo8N+jChQvq37+/unfvrsmTJzulUAAAgOJmeo/R1q1bFRUVpXLlymnAgAEaO3asva9Zs2ZasWKFfvzxR/3zn/90SqEAAADFzXQwmjt3rrp166Zvv/1Wo0aNUt++fR36H3jgAb3xxhtavnx5kYsEAAAoCaaD0cGDBzV8+HB5eNx6isjISJ06dcrsEgAAACXKdDDKzMxUQEBAvmNSUlKUlZVldgkAAIASZToY1ahRQytXrsx3zJo1a1SzZk2zSwAAAJQo03elde3aVVOmTNHBgwfVo0cP1alTR9Iv7xs6d+6cVq5cqfnz5ys6OtppxQIAABQn08GoT58+2rZtm1atWqUvvvjC3v7AAw8o9y0jjz/+uJ577rkiFwkAAFASTAcjT09PzZ49W//4xz/06aef6vjx45IkwzB0//33q3fv3urdu7f92UYAAADurkgPeLRYLOrbt6/69u2r1NRUpaSkKCgoSH5+fs6qDwAAoMSY3nz968tnklS2bFkFBwfnCUV169Y1uwQAAECJMh2MCrKp+qeffrLvNwIAAHB3poORYRg6evToLfs//vhjde/enT1GAACg1DAdjCRp4MCB+umnnxzaTp8+rT59+mj69Ony9/cvUnEAAAAlqUjBaNy4cRowYID9jrSlS5fq6aef1q5du9S+fXt99dVXXEoDAAClhum70qZOnaoOHTooOztbAwYMUFhYmLZt26bAwEBNmzZNzzzzjCRpw4YNzqoVAACgWBXpydeS1KVLF2VnZysqKkqNGzfWzJkzFRISYh+3c+dOVatWreiVAgAAFLMiXUrL9dRTT2nKlCm6cOGCbty44dDHK0EAAEBpUeAzRv369bvtmLS0ND333HOqXbt2kYoCAABwhQIHox07dhR40l+P5XZ9AABQWhRqj9GRI0cKvUBEREShjwEAAHCFAu8xatGihakFcjdpAwAAuLsCB6OFCxeaWmDYsGGmjgMAAChpTrkrLT/t2rUr7iUAAACcwvRzjHIdOnRIe/bsUVJSEk+5BgAApZrpYJSdna2//vWvWrdunQzDkMVicQhG3I0GAABKG9PBaP78+dq6dauio6N1//3364UXXtDixYslSRkZGdq9e7cWL16sMWPGOK1YAACA4mQ6GK1evVoTJ05Ux44dJf1yhigyMtLe/+ijjyosLExbtmxRz549i14pAABAMTO9+frMmTNq2bKl/fPN9hc9/vjj2rZtm9klAAAASpTpYOTn5+ewj6hixYo6e/asw5iff/5ZKSkp5qsDAAAoQaaDUfXq1fXtt986fJ49e7asVqskKSsrS++8846qVq1a9CoBAABKgOk9Rq1bt9abb76pM2fOaNiwYXr22Wc1evRobdq0SdWqVdOpU6eUlJSkV1991Zn1AgAAFBvTwahnz57y9/dXhQoVJElPPfWUdu3apRUrVujy5cuSpI4dO2rgwIHOqRQAAKCYmQ5GwcHBGjBggP2zxWLR22+/raFDh+rcuXMKCQlRlSpVnFIkAABASXD6K0GCg4PVuHFj7dixQ7t27XL29AAAAMXGdDCqW7duvv3Lly9X3759FRsba3YJAACAEmU6GN3uvWj/+Mc/NH/+fH322WdmlwAAAChRpoNRQd6FVr9+fSUlJZldAgAAoEQVePP1d999pw0bNji0jRkz5pZnjrKysnTw4EHVrFmzaBUCAACUkAIHoyNHjmjVqlX2zxaLRStXrsz3mOrVq2v8+PHmqwMAAChBBQ5G/fv3V9euXSX9sr+offv2ec4g5bJYLAoKClJAQIBzqgQAACgBBQ5GgYGBCgwMtH9u2rSpqlWrVixFAQAAuILpzddLlixxZh0AAAAuZ/rJ17kyMzO1adMmHT58WMnJyQoMDFS9evX02GOPydvb2xk1AgAAlIgiBaP169drwoQJunbtmqRf9h7l3sZfsWJFvfXWW2rXrl3RqwQAACgBpoPRv//9bw0fPlze3t569NFHVaNGDfn5+Sk9PV3Hjx/Xjh079Oqrr2rOnDlq1aqVM2sGAAAoFqaD0axZs/Twww8rJiZGFSpUyNN/5coVvfbaa3rvvfcIRgAAoFQwHYyOHDmi1atX3zQUSb9cSps0aZKefvpp08UBAACUJNN3pfn6+qpq1ar5jqlatar8/f3NLgEAAFCiTJ8xatKkibZv365HHnnklmN27NiRpz86OlpTp041uyyKKDU1VSdPnnR1GYBb+e3fCf6OADcXFhamsmXLurqMYmU6GP31r3/Va6+9psuXL6tz587y8fGx92VkZGjt2rX64osv9Le//c3huC+++IJg5EInT55UVFSUq8sA3FpsbKyrSwDc0rRp01S/fn1Xl1GsTAejQYMGKSUlRdHR0YqOjtbvfvc7+fv7Ky0tTT///LOkX/YZ9erVy1m1AgAAFCvTwejs2bOqWrWqwyk1wzDk5+cnPz8/hzYAAIDSoEgPeNy4cWOhj4mIiCjKknAyn+CH5eH7O1eXAbicYeTIyE6XxctPFovp+1KAO0pOxs/KvLjb1WWUKNPBqGvXriV6HIqHh+/v5OV/j6vLAAC4oWxXF+ACpv+zyOwGajZeAwAAd1Xkl8jezkMPPaQ9e/aYOnbXrl2KiYnRsWPH5OHhoebNm2vUqFGqUqVKgeeIj4/Xhx9+qH379iktLU0+Pj6qV6+eBg0apCZNmpiqCwAA3JlMB6OdO3fedoxhGEpPTzc1/7Zt2zRw4EANHDhQCxcuVFpamkaOHKlevXrp888/1z333P7yz6ZNmzRy5EiNHz9e77zzjry8vLRp0yYNHTpUDz30EMEIAAA4MB2M+vbtK4vF4sxa7LKzszV+/HiFhoZq+PDh8vDwUFBQkCZPnqw2bdpo5syZt70kd/XqVY0aNUqvvPKKnnnmGXv7Y489pn79+hUoWAEAgLtLkS6lvfLKK3na0tPTdeHCBW3ZskX16tXTww8/XOh5t2/froSEBL300kvy8PjfNqjg4GA1atRIa9as0bhx4/J9+uZnn32mlJQUde/ePU/fqFGjCl0TAAC48xUpGA0dOvSWfZmZmYqKitJDDz1U6Hl37NghSapTp06evoiICO3evVv79+9Xy5YtbznHd999p/vuu0/lypUr9PoAAODuZDoYbd26Nd9+Hx8fjRw5UiNGjMg3wNzMiRMnJEmVK1fO05fbdvLkyVvOa7VadfToUTVq1Ehbt27VnDlzFB8fL09PTzVq1EhDhgwp0vOUrFarrFar6eNdKScnx9UlAABKqZycnFL5+1eYmk0Ho/Lly992TGBgoI4ePVrouVNSUiRJvr6+efpy25KTk295/PXr15WVlaX4+HhFRUVpxowZevjhh5WQkKBRo0apV69e+vjjj02dzZJ+udOttDp16pSrSwAAlFJHjx5VVlaWq8soVsV2u75hGJo/f76CgoKKa4lbyszMlCT9/PPPmj59upo1ayZJqlmzpmbMmKEnnnhCkyZN0sqVK03NHx4eLn9/f6fVW5K8vb1dXQIAoJS6//77Va9ePVeXUWhpaWkFPqlhOhj169fvln3p6elKSEjQ9evX9eKLLxZ67oCAAElSRkZGnr7ctsDAwFse/+szTS1atHDoq1WrlqpVq6b//ve/unr1qipUqFDo+jw9PeXp6Vno49zBrzezAwBQGB4eHqXy968wNZsORrkbpG/G19dX1atX1+DBgzVgwIBCz12jRg1JUmJiYp6+3LawsLBbHl+uXDmVLVtWqampN73kV6lSJZ05c8Z0MAIAAHemIl1KO3LkiLPqcBAZGanY2FjFxcWpS5cuDn1xcXHy8fFRw4YNb3m8xWJR48aNtWXLFl25ckUhISEO/VevXpUkQhEAAHBg+rpKcb4MtlmzZgoNDdX69esd7qK6ePGi9u7dqyeeeMLhGUaJiYnKznZ81V23bt0kSVu2bHFoT0hI0JkzZ9SoUSOCEQAAcFDiL5GVpHbt2uXb7+XlpYkTJyohIUExMTGyWq1KTk7W2LFjValSJY0YMcI+du3atWrdunWeZyp16dJFbdq0UUxMjPbu3Svpl2AVFRUlPz8/vfHGG6brBwAAd6Zif4nszZw9e/a2Y1q0aKFFixYpJiZGjzzyiCwWi5o3b65ly5Y5PN+ofPnyCggIyHO5zGKx6L333tOcOXP0+uuv6+eff5aXl5datGihSZMmqWbNmk7/XgAAoHRzSTAq6DvWmjRpoiVLluQ7pkWLFtq9e/dN+7y9vTV06NB8n9ANAACQi3u3AQAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABg45JgZBiGK5YFAADIl+nnGOU+vbpNmzYaN25coY7dsGGD2WUBAACKjekzRmfPnlXjxo3VvXv3Qh9brVo1s8sCAAAUG9NnjPz8/DRx4kT5+/s7sx4AAACXMX3GqE6dOrp48eJtx0VHR5tdAgAAoESZDkbDhg3T1KlTlZGRke+4L774wuwSAAAAJcr0pbS9e/cqKytLjz32mFq3bq2QkBD5+Pg4szYAAIASZToYffDBB/Z//uqrr245zmKxmF0CAACgRJkORpK0ePHifPsNw9Cf/vSnoiyBYmbN+NnVJQAA3NTd+BthOhh5e3srMjLytuNCQkLMLoFikJ2d7fA56+JuF1UCAChtfvsbcicyvfn6wIEDBRq3ceNGs0ugGFy7ds3VJQAASqm74TfEaa8EuXz5so4cOeKs6VBMypcv7+oSAACl1N3wG1KkPUYZGRmKjY3VqlWrlJiYKIvFokOHDmnLli2aN2+exowZo/DwcGfVCifw8nL8v9w7+GF5+v7ONcUAANyaNeNnhy0Xv/0NuROZ/oYpKSnq06eP/SxRuXLldP36dUlS7dq15evrq759+2r58uWqXr26c6qF03n6/k5e/ve4ugwAANyC6UtpsbGxSkxM1OTJk7V3715t377d3lelShXFxsaqU6dOio2NdUqhAAAAxc10MPr22281Y8YMde/eXX5+fjcdM3jwYO3cudN0cQAAACXJdDA6f/68mjVrlu+YihUrKjEx0ewSAAAAJcp0MAoICFBCQkK+Y+Lj4xUUFGR2CQAAgBJlOhg1a9ZM0dHROn369E37k5OTNWXKFLVs2dJ0cQAAACXJ9F1pQ4cOVY8ePdSpUydFRkYqIiJCkhQTE6OzZ89q48aNMgxD06dPd1qxAAAAxcn0GaNatWrpo48+UoUKFbR161YtXLhQhmEoNjZWq1evVkBAgObMmaOwsDAnlgsAAFB8ivSkpsjISG3YsEEbNmzQgQMHlJKSosDAQDVs2FBt2rSRt7e3s+oEAAAodkV+hKW3t7c6d+6szp0737T/gw8+0NChQ4u6DAAAQLEzfSmtXbt2BRo3a9Yss0sAAACUKNPB6OzZs/n2p6SkKCoqyuz0AAAAJc50MJKkt95666btP/74o5588kl98cUXRZkeAACgRBUpGB07dkyTJk2yf05PT9eECRM0cOBAXbp0ib1FAACgVDG9+bpq1ar66KOPNHDgQE2dOlXt27fXmDFjdPr0adWqVUszZsxQ/fr1b3vJDQAAwF2YPmO0ceNG+fv7a+7cudq3b5/69eunM2fOqH///lq1apXq168vSZo6darTigUAAChORbqUJv3yzrT58+erXr16evzxxxUdHe3w/KKC3r0GAADgagW+lLZz5858+19++WWNGzfOflkt17lz58xXBwAAUIIKHIz69u0ri8WS7xjDMLRo0SItXry4yIUBAACUtEJtvn7llVcKNblhGJo9e3ahjgEAAHCVQgUjM7ff8+RrAABQWhR48/Unn3xiaoENGzaYOg4AAKCkFTgYPfzww6YW+OCDD0wdBwAAUNKKfLv+7fBaEAAAUFqYfvK1JB06dEjvv/++9uzZo+vXrzurJgAAAJcwHYwOHTqk3r17KyAgQPfff7927dqlpk2bSpIyMzN17Ngxpaenq0mTJk4rFgAAoDiZDkazZs1S27Zt9X//93/y9PRU3bp1tWTJEnt/UlKSRo4cyZOvAQBAqWF6j9GePXv02muvydPT86b95cqV09ixY7V8+XLTxQEAAJQk08EoNTVVVatWtX/29vZWamqqw5gqVaroxIkT5qsDAAAoQaaDUZUqVXT69Gn755CQEO3atcthzA8//CB/f3/z1QEAAJQg03uMGjRooMmTJ2vGjBmqVKmSIiMjNXbsWL388ssKDQ1VXFyc5syZo4YNGzqzXjhZTsbPynZ1EYAbMIwcGdnpsnj5yWIp9ieZAKVCTsbPri6hxJkORl26dNGoUaM0bNgwffrppxo8eLDWrFmjSZMmSfrlPWllypTR8OHDnVUrikHmxd2uLgEAALdhOhi1b99ee/futX++7777tHz5cn388cc6d+6cQkJC9Pzzz6tevXpOKRQAAKC4FekBj79Vq1Ytvf32286cEgAAoMQ4LRhdvnxZly9fVkREhLOmRDEICwvTtGnTXF0G4FZOnjyp2NhY++eXXnpJYWFhrisIcFN3w9+LIgWjjIwMxcbGatWqVUpMTJTFYtGhQ4e0ZcsWzZs3T2PGjFF4eLizaoUTlC1bVvXr13d1GYBbCwsL4+8JcJcyfetFSkqKnnvuOcXGxurixYsKCgqSYRiSpNq1a8vX11d9+/bVqVOnnFYsAABAcTIdjGJjY5WYmKjJkydr79692r59u72vSpUqio2NVadOnRxOTwMAALgz08Ho22+/1YwZM9S9e3f5+fnddMzgwYO1c+dO08UBAACUJNPB6Pz582rWrFm+YypWrKjExESzSwAAAJQo08EoICBACQkJ+Y6Jj49XUFCQ2SW0a9cu9e3bVy1atFCrVq30l7/8RRcuXDA118GDB1WvXj21bdvWdD0AAODOZjoYNWvWTNHR0Q7vS/u15ORkTZkyRS1btjQ1/7Zt29S/f381btxYmzdv1tdff62kpCT16tVLly5dKtRcN27c0JgxY2S1Wk3VAgAA7g6mb9cfOnSoevTooU6dOikyMtL+/KKYmBidPXtWGzdulGEYmj59eqHnzs7O1vjx4xUaGqrhw4fLw8NDQUFBmjx5stq0aaOZM2dq6tSpBZ5vzpw58vf3V0hISKFrAQAAdw/TZ4xq1aqljz76SBUqVNDWrVu1cOFCGYah2NhYrV69WgEBAZozZ46ph0Ft375dCQkJ6tChgzw8/ldicHCwGjVqpDVr1ig1NbVAcx07dkwLFizQ5MmTHeYCAAD4rSI94DEyMlIbNmzQhg0bdODAAaWkpCgwMFANGzZUmzZt5O3tbWreHTt2SJLq1KmTpy8iIkK7d+/W/v37b3uZLicnR2PGjNGgQYNUq1YtU7UAAIC7R5FfCeLt7a3OnTurc+fOzqhHknTixAlJUuXKlfP05badPHnytsFo0aJFyszM1ODBg51WmyRZrVb2KwF3kJycnDyf+TsO3DkK8/fZKe9Ku3r1quLi4pSSkqKAgABFRESofPnypudLSUmRJPn6+ubpy21LTk7Od46EhAS9//77Wrx4sby8nPquXMXHxzt1PgCu9dsn9B89elRZWVkuqgaAKxUpMZw+fVqTJk3S5s2b7a8DkSQPDw899thjio6O1n333VfkIgvLMAyNHTtWzz//vBo0aOD0+cPDw+Xv7+/0eQG4xm8v+99///2qV6+ei6oB4GxpaWkFPqlhOhidOHFCzz//vK5du6aAgACFhobKz89P6enpOnXqlDZu3Kj9+/dr6dKlql69eqHmDggIkPTLS2p/K7ctMDDwlscvW7ZMiYmJGjZsWKHWLShPT095enoWy9wASt5vb8zw8PDg7zhwBynM32fTweidd96Rt7e3YmNj9eijjzr8iyUnJ0f/7//9P7311lt655139MEHHxRq7ho1akjSTZ+anduW391uGzZs0LVr1/I8zPHq1auSpFatWkmSXnvtNfXq1atQtQEAgDuX6WC0fft2xcbGqmnTpnn6PDw81LZtWwUEBGjIkCGFnjsyMlKxsbGKi4tTly5dHPri4uLk4+Ojhg0b3vL4uXPn3rQ9Nyht3Lix0DUBAIA7n+kH++Tk5KhRo0b5jmncuHGeuz0KolmzZgoNDdX69esdjr948aL27t2rJ554QmXLlrW3JyYmKjs7u9DrAAAA/JrpYFSnTp08d3L81smTJ/Xggw86tH3xxRe3ndvLy0sTJ05UQkKCYmJiZLValZycrLFjx6pSpUoaMWKEfezatWvVunVrDR061NT3AAAAyGU6GL388ssaP378Ld+Vdvr0aU2ePFl/+ctfHNqjo6MLNH+LFi20aNEi7dmzR4888og6duyooKAgLVu2zOH5RuXLl1dAQMAtX/eRlZWlVq1aqVWrVjp//rzOnz9v/8ztuAAA4NdM7zH65ptvdPXqVXXq1En169dXSEiI/P39lZaWpvPnz+u///2vHnjgAS1dutR0cU2aNNGSJUvyHdOiRQvt3r37lv3e3t764YcfTNcAAADuHqaD0apVq+z/fODAAR04cCDPmH379mnfvn0ObRaLxeySAAAAxapID3jcsGFDocYbhqHHH3+8KEsCAAAUG9PBqGrVqqpWrVqhj7vVXiAAAABXM7352uyzgHiGEAAAcFfOfbuqfrkb7fvvv5evr686deqkoKAgZy8BAABQLEwHo127dmn06NGSpH/84x8KCQnRgQMH1K9fP2VmZsowDM2ePVsrVqzQPffc47SCAQAAiovpS2mrV6+Wr6+vJk2apODgYEnSlClTlJGRoe7duysqKkoeHh6aN2+e04oFAAAoTqbPGO3du1dTpkyxv7Psp59+0r59+9S6dWtNmjRJklSvXj298cYbBX6oIwAAgCuZPmN05swZ1a1b1/55/fr1slgsevbZZ+1tDz74oC5evFi0CgEAAEqI6WAUEBCgK1eu2D+vXr1aZcuW1aOPPmpvy8zMlJ+fX9EqBAAAKCGmg1GDBg307rvv6tixY3r//fd18uRJdenSRd7e3vYxmzZtUtWqVZ1SKAAAQHEzvcfopZde0h//+EetWbNGhmEoICBAL774oiTp7Nmz+vTTT/XJJ59owIABTisWAACgOJkORg0bNtSyZcu0evVqeXh4qEePHrr33nslSUlJSbpy5Yo6deqkZ555xlm1AgAAFKsiPeCxfv36ql+/fp72evXqaerUqbc8bufOnWratGlRlgYAAHA603uMiqJfv36uWBYAACBfLglGhmG4YlkAAIB8uSQYWSwWVywLAACQL5cEIwAAAHdEMAIAALAhGAEAANgQjAAAAGyK9BwjAEVjtVp14sQJZWZmurqUu9rJkyfz/QzX8PHxUY0aNeTp6enqUnAXcUkw4nZ9QLpx44aioqIUHx/v6lLwG7Gxsa4uATbh4eGaNm2aypQp4+pScJdwyaU0nnoNSBcvXiQUAbcRHx+vixcvuroM3EVMB6Po6GjTiy5ZssT0scCdIjg4WOHh4a4uA3Br4eHhCg4OdnUZuItYDJPXterWravDhw87ux63lpaWpsOHD6tu3bry9/d3dTm4A7DHyH1YrVZdvXpVFSpUYE+Lm2CPEZylML/fpvcYGYahdu3a3XZcmTJlVKVKFbVp00a9e/eWt7e32SWBO46np6dq167t6jIAADamg1HVqlWVkpKipKQkSVK5cuVUtmxZpaam2tsqVaqk7Oxs7dq1S9u2bdNXX32lxYsXy8/PzznVAwAAOJHpPUYLFizQPffco7ffflt79uzR9u3btXHjRm3fvl179uzRxIkTVaNGDa1atUoHDhzQRx99pEuXLumjjz5yZv0AAABOYzoYvfvuu3r99dfVs2fPPNfr/P391atXLw0aNEjTp0+Xh4eHHnvsMY0fP17r1q0rctEAAADFwXQw2rFjh1q0aJHvmBYtWmjz5s32z02bNtXZs2fNLgkAAFCsTAejjIwMXbhwId8xFy5cUGpqqv2zp6enfHx8zC4JAABQrEwHozp16ujNN99USkrKTfuTk5M1YcIERURE2Nt27NihypUrm10SAACgWJm+K+2ll17SK6+8ot///vdq1aqVatSoIX9/f6Wlpen48eP68ccflZaWZn+0/ooVK/Tuu++qY8eOTiseAADAmUwHo7Zt22r69OmaOHGi1q1bJ4vFYu8zDENBQUF655139Oijj0qSTp8+rTZt2qhnz55FrxoAAKAYmH7yda6UlBRt2LBBhw8fVkpKigIDA1WvXj21bdtWZcuWdVadboEnXwMAUPqUyJOvd+7cqaZNmyogIEBPP/20nn76abNTAQAAuAXTm6/79evnzDoAAABcznQwMgxDv//97/X3v/9dCQkJzqwJAADAJUwHI0maMmWKTp8+raeeekp9+vTRqlWrlJ6e7qzaAAAASpTpPUZdu3ZVy5Yt1bJlSyUnJ+tf//qXli5dqrfffludOnVSt27d1KRJE2fWCgAAUKyKfFfabx09elQrV67Uv/71L5UtW1bdunXTn//8Z2cu4TLclQYAQOlTmN/vIl1Ku5ns7GxlZWXpxo0bOnXqlP7+9787ewkAAIBiYfpSWr9+/bR48WJJ0vXr17V69WqtXLlShw8flmEYCggIUK9evdStWzenFQsAAFCcTAejHTt26IcfftA///lPbdy4UVlZWZKkZs2aqVu3burQoYN8fX2dVigAAEBxMx2MJGnQoEEyDEPVqlVT165d1bVrV1WrVs1ZtQEAAJSoIgWjJ598Ut26dVPz5s2dVQ8AAIDLFCkYzZgxw1l1AAAAuJzpu9KOHDlSoHFffPGF2SUAAABKlNNv1/+t6Ojo4l4CAADAKYp0KS01NVUrVqzQnj17lJSUJCc/KxIAAKBEmQ5GV69eVe/evXXq1ClJksViuWkwslgs5qsDAAAoQaYvpcXExMjPz09ffvmlDh06JMMwdOTIER05ckT79+/X/Pnzdd9992nBggXOrBcAAKDYmA5Gmzdv1ptvvqk6derIw8PD4cyQj4+PWrVqpcmTJ+ujjz5ySqEAAADFzXQwSkxMVL169f43kYeHbty44TDmwQcf1MGDB81XBwAAUIJMB6OKFSvq+vXr9s/BwcE6duyYw5j4+Hg2ZAMAgFLDdDCqXbu2w/6hOnXq6K233tLRo0eVlZWlAwcOaPz48apZs6ZTCgUAAChupu9Ka9++vd566y0dP35cH330kQYOHKi+ffvqqaeechj37rvvFrlIAACAkmA6GHXt2lUPPPCA/Pz8JElNmjTR9OnTNWvWLJ09e1ZVq1ZV//791aVLF6cVCwAAUJwshhtvAtq1a5diYmJ07NgxeXh4qHnz5ho1apSqVKly22OPHj2qzz77TJs3b1ZSUpKsVqvq1KmjPn36qHPnzqbqSUtL0+HDh1W3bl35+/ubmgMAAJSswvx+F/srQczatm2b+vfvr8aNG2vz5s36+uuvlZSUpF69eunSpUv5HnvlyhX94Q9/0N69e/Xhhx9q+/bt+v7771W9enUNHz5cs2bNKqFvAQAAShO3DEbZ2dkaP368QkNDNXz4cHl5eSkoKEiTJ0/W5cuXNXPmzHyPz8nJkSRNmTJFtWrVkiQFBgbqrbfeUkhIiD788ENdvXq12L8HAAAoXdwyGG3fvl0JCQnq0KGDPDz+V2JwcLAaNWqkNWvWKDU19ZbH+/v7a+jQoYqIiHBoL1OmjBo0aKAbN27o0KFDxVY/AAAondwyGO3YsUPSL48A+K2IiAhlZmZq//79tzy+bNmyGjZs2E37srOzJUnlypVzQqUAAOBOYvqutOJ04sQJSVLlypXz9OW2nTx5Ui1btizUvFarVQcPHtR9992n+vXrm67ParXKarWaPh4AAJScwvxmu2UwSklJkST5+vrm6cttS05OLvS833zzjS5duqT33nvP4RJdYcXHx5s+FgAAuC+3DEbF4cqVK5o6daqee+45dezYsUhzhYeHc7s+AAClRFpaWoFParhlMAoICJAkZWRk5OnLbQsMDCzwfGlpaXrxxRfVoEEDvfHGG0Wuz9PTU56enkWeBwAAFL/C/Ga75ebrGjVqSJISExPz9OW2hYWFFWiujIwMvfTSS/rd736nmJgYAg0AALgltwxGkZGRkqS4uLg8fXFxcfLx8VHDhg1vO09WVpZeeeUVWSwWzZo1Sz4+PpKkM2fO6Nq1a84tGgAAlHpuGYyaNWum0NBQrV+/3v6wRkm6ePGi9u7dqyeeeEJly5a1tycmJtpvw8+VlZWlYcOGKSsrS7GxsQ4buT/44AN9//33xf9FAABAqeKWwcjLy0sTJ05UQkKCYmJiZLValZycrLFjx6pSpUoaMWKEfezatWvVunVrDR061N6WnZ2tkSNHasuWLWrQoIHmzZun999/3/6/w4cPu+JrAQAAN+eWm68lqUWLFlq0aJFiYmL0yCOPyGKxqHnz5lq2bJnD843Kly+vgIAAhYSE2NuOHj2qb7/9VpK0YMGCEq8dAACUThbDMAxXF1FaFObtvAAAwD0U5vfbLS+lAQAAuALBCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABgQzACAACwIRgBAADYEIwAAABsCEYAAAA2BCMAAAAbghEAAIANwQgAAMCGYAQAAGBDMAIAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANgQjAAAAG4IRAACADcEIAADAhmAEAABg4+XqAvKza9cuxcTE6NixY/Lw8FDz5s01atQoValSpUDH5+TkaMGCBVqxYoWuX7+uoKAg9ejRQwMHDpSHB5kQAAA4ctt0sG3bNvXv31+NGzfW5s2b9fXXXyspKUm9evXSpUuXCjTHuHHjFBsbq2nTpmnr1q2aPn265syZo3HjxhVz9QAAoDRyy2CUnZ2t8ePHKzQ0VMOHD5eXl5eCgoI0efJkXb58WTNnzrztHNu3b9fnn3+uwYMHq3HjxpKkRo0a6cUXX9Tnn3+unTt3FvfXAAAApYxbBqPt27crISFBHTp0cLjkFRwcrEaNGmnNmjVKTU3Nd47ly5dLkjp27OjQnvt52bJlTq4aAACUdm4ZjHbs2CFJqlOnTp6+iIgIZWZmav/+/bedw9fXV9WrV3doDw0Nlb+/v30NAACAXG65+frEiROSpMqVK+fpy207efKkWrZsedPj09LSlJiYqPvuu08Wi+Wmc5w8eVLp6eny8/MrcF05OTmSpNTUVFmt1gIfBwAAXCcjI0PS/37H8+OWwSglJUWS5Ovrm6cvty05OfmWx+f23Sr0/HqOwgSjzMxMSVJCQkKBjwEAAO4hMzNTAQEB+Y5xy2DkrsqVK6ewsDD5+Phwuz8AAKVETk6OMjMzVa5cuduOdctglJvmck99/VpuW2Bg4C2Pz+1LT0+/aX9B5rgZLy8vVaxYsVDHAAAA17vdmaJcbnnao0aNGpKkxMTEPH25bWFhYbc83t/fX5UrV9bly5dlGMZN5wgODi7UZTQAAHDnc8tgFBkZKUmKi4vL0xcXFycfHx81bNjwtnOkp6fr1KlTDu2nT59WWlqafQ0AAIBcbhmMmjVrptDQUK1fv95hB/nFixe1d+9ePfHEEypbtqy9PTExUdnZ2Q5z9OrVS5K0bt06h/ZvvvnGoR8AACCXWwYjLy8vTZw4UQkJCYqJiZHValVycrLGjh2rSpUqacSIEfaxa9euVevWrTV06FCHOZo1a6bu3btr7ty52rt3ryRp//79mjNnjrp3784ZIwAAkIdbbr6WpBYtWmjRokWKiYnRI488IovFoubNm2vZsmUOzzcqX768AgICFBISkmeOt99+WzVq1NDo0aOVnJysgIAADR48WAMHDizJrwIAAEoJi3Gz3ckAAAB3Ibe8lAYAAOAKBCMAAAAbghEAAIANwQgA8tG+fXs9/PDDqlOnjrZv3+7qcgAUM4IRALdRp04dRUVFuboMB999953Gjh3r6jIAlBCCEQAAgA3BCAAAwMZtH/AI4O6xdOlSzZo1S9IvT7PfvHmzJKl+/fqaM2eOJOmzzz7T0qVLdeHCBVksFj3wwAMaMmSIHnroIfs8mZmZWrJkib777judPXtW6enpCgkJUZ8+ffTss8/mWTc1NVWxsbH6+uuvlZaWJm9vb4WFhenxxx9Xz5495e3t7TA+KytL06ZN0/r165WcnKxGjRppwoQJqlatmsO47OxszZ8/XytXrtS1a9fk6emppk2b6tVXX1Xt2rUlSUeOHNHAgQOVnJyszMxM/fvf/9aUKVO0b98+XbhwQdWqVdPGjRud94cMoGAMAHAT4eHhxujRo/O0v/3220aDBg2MdevWGVar1UhJSTHGjBlj1K9f3/jxxx/t406fPm2Eh4cbCxcuNKxWq2G1Wo2vvvrKqFu3rjFv3jyHOTMyMoxu3boZjz32mHH48GHDMAwjKSnJGDlypBEeHm4cOnTIPvbzzz83wsPDjZ49exqbNm0ycnJyjDNnzhht2rQxnn76aYd5c3JyjCFDhhiRkZHG9u3bDcMwjCtXrhgvvvii0ahRIyM+Pt5h/OjRo43w8HDjz3/+s33Nzz77zGjTpo35P0gApnEpDYBb27t3r5YsWaJnn31WHTp0kIeHh8qWLas33nhDgYGBmjp1qn2st7e32rZtqz/96U/y8PCQh4eHnnjiCXXs2FHz5s2T8asH/S9cuFAHDx7U66+/roiICElSUFCQJk2aJD8/v5vW8sADD+jRRx+VxWJRtWrV9NRTT+nw4cM6c+aMfcyaNWv03Xff6eWXX7a/k7FChQqaPHmybty4oZkzZ9507ieffFJ169aVJHXq1ElDhgwp2h8cAFMIRgDc2po1ayRJjzzyiEO7j4+PwsPDFRcXp4sXL0qSKleurA8//DDPHGFhYbp69aquXLly23n9/Py0YMEC3XfffXnmefjhhx0+576jMXf9X8/bqlUrh7GVKlVSlSpV9OOPPyo7OzvP3E2bNrX/c7ly5dSjR488YwAUP/YYAXBrJ0+elCSNHj1aXl6O/8rKzMyUv7+/Ll68qODgYEnShg0btHTpUp04cUIZGRmyWCxKS0uTJGVkZNiPPXXqlPz8/BQUFJRnzV/vW/q18uXLO3wuU6aMJDkEndx6+/fvL4vF4jA+IyNDHh4eSkpKUsWKFR36KlWqdNM1AZQsghGAUmHWrFlq0qRJvmM++eQTTZw4UU8++aRmzJhhDx/vv/++Pvjggzzjs7OzZRhGngBzKx4eBT/JvnLlSlWpUqXA4wszN4Diw99EAG4tLCxMkpSYmJinLykpyeHS1IoVKyRJ0dHRec7I3GzeGzdu6Nq1a3n6Ll++rJSUlCLV++vLa7kSExN5ejbg5ghGANyGn5+fbty4IemXszkTJ05Ux44dJUnr16/PM37RokWaNm2a/RJb7u31vz0DdO7cuTzHdunSRdIvl95+LTk5WW3bttWBAwdMfYc//OEPt6z33Xff1ccff2xqXgAlg2AEwG3Url1bx48fl9Vq1c6dO7V8+XLVqlVL/fr10/r16/X555/LarXKMAytW7dOCxcu1OjRo+3Hd+7cWZI0Y8YM+76iTZs26auvvsqz1gsvvKAGDRpo9uzZOnLkiCTp559/VlRUlBo1aqTmzZub+g5dunRR+/bttXTpUn3//fcyDEPZ2dn65JNP9N133+m1114zNS+AkmExfn3/KgC40L59+zRhwgRduHBB/v7+evnll9WzZ09Jv1wmW7p0qc6dOyc/Pz/VqFHD4ZZ4STIMQwsXLtTy5ct14cIFVahQQU2aNJGvr6+WLVum8uXLq3v37ho1apSkXx7w+OGHH+rrr79WRkaGfH191a5dOw0bNkyBgYGSpGeffVbHjh1TSkqKypUrp9atW+vdd99V3759dejQoTzt0i9nuxYuXKiVK1fq6tWr8vf3V7169TRs2DD7owESExPVtWtX+wMeK1WqpMqVK2vVqlUl+UcO4DcIRgAAADZcSgMAALAhGAEAANgQjAAAAGwIRgAAADYEIwAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAcBtzJ49W3Xq1LH/D8Cdi1eCAEAB9e3bVzt27FBcXJyrSwFQTDhjBAAAYEMwAgAAsPFydQEA7j5fffWVlixZohMnTsgwDIWGhqp169Z65pln5OXlpXbt2tnHTp48WcnJyVq+fLnOnDmjcuXKqWPHjho+fLgCAwPzzL1p0ybNmzdP//3vf2W1WlWzZk316NFDvXv3lofH//5bMD09XV988YW+/fZbHTt2TFevXlWlSpX06KOP6rXXXlPFihVv+z3OnDnjUKskde3aVdOmTStUPfv27dOzzz5rP2bRokWKj4/Xp59+qtOnT+vGjRt55gVQTAwAKEGLFy82wsPDjTlz5hjXrl0zkpOTjbVr1xqNGjUyRo8ebR/3+eefG+Hh4UbHjh2N6Oho48KFC0ZaWpqxfPlyo169ekb37t2NzMxMh7nnzZtnhIeHG1FRUUZiYqKRnJxsLF682IiIiDDGjBnjMPbAgQNGeHi4MXnyZPvcu3btMp566imjffv2RnJycp7a+/TpY4SHhzu0HTt2zHj00UeNVatW5RlfmHoMwzDee+89Izw83HjhhReM6dOnGxcuXDDOnz9vdOnSxeHPBkDxIRgBKFHPPPOMERkZmaf9b3/7202DUdu2bQ2r1eowdtq0afZwlevQoUNGRESE0bZtWyM7O9th/KhRo4zw8HBjy5Yt9rajR48agwYNylPH4cOHjfDwcGP+/Pl5+n4bjOLj443WrVsb//rXv/KMLWw9hvG/YNS/f3+H9i+//NL45JNP8qwBwPnYYwSgRFksFiUlJemHH35waB80aJBGjRqVZ3zHjh0dLoFJUufOnSVJX375pb1t2bJlysnJUdeuXeXp6ekw/oknnpAkrVy50t5Wu3ZtzZ07N8964eHhkqQ9e/bk+z3i4uI0YMAARUVF6Q9/+EOe/sLWc7Pvl+upp57S888/n289AJyDPUYASlS/fv0UFRWlgQMHqmnTpurSpYsef/xxVapUSQEBAXnGV61aNU9bzZo1JUnHjh1TVlaWvL29deDAAUlS3bp184yvUqWKJOngwYMO7bt27dK8efMUFxenixcvymq12vuSkpJu+R0OHz6sF154QZLUvHnzm44xU89v+wGUPIIRgBL1zDPPqFq1apo7d662bNmiHTt2aNKkSerQoYPGjBmje+65x2G8v79/njn8/PwkSYZhKDU1Vd7e3kpJSZEkDRky5JZrX7lyxf7Pq1ev1uuvv64HH3xQ77//vsLDw+Xt7S1Jt32I46BBg9S4cWNt3LhREyZM0HvvvZdnTGHr+TVfX9981wdQfAhGAEpc06ZN1bRpU129elXffPONPvnkE61du1ZHjhzR6tWrVaZMGfvYtLS0PMenp6dLkjw8PFS2bFlJst+htnDhQrVs2fK2NcyaNUuGYWjixImKiIgoVP0TJkxQmzZt9Nxzz2ndunVas2aN/fJYrsLWA8A9sMcIQInasmWLUlNTJUkVKlTQ888/r1WrVql27do6fvy4jh075jD+3LlzeeY4fvy4pF/2CeWe5WnYsKEk6ezZszdd98iRI9q/f7/9c+64sLAwh3EZGRm3/Q6PP/64vLy8NH36dPn4+GjixIm6dOmSw5jC1gPAPRCMAJSoN954Q7t27XJo8/b2VmhoqCTJx8fHoe+bb75RTk6OQ9vatWsl/fLMoFzPPvusPD09tWrVqjxrpqWlaeDAgdq8ebO9LSQkRJLyvN5j9+7dBf4utWrV0siRI/Xzzz9r/PjxDn2FrQeAeyAYAShxU6ZM0fbt25Wamqrr169r5cqV2rx5s1q3bm3fWJ3r3nvv1bhx45SYmKj09HStWLFCS5YsUcOGDdWnTx/7uDp16uj111/X7t27FRUVpZ9++kkZGRn6z3/+oxdffFH33HOP+vfvbx//pz/9SZI0btw4HThwQOnp6dqxY4fefPPNQn2X/v37q1mzZvr+++/1+eefm64HgHvgJbIAStTu3bv15Zdfavfu3Tp//rwsFovuvfdePfXUU/rjH/9o33i8cuVKRUdHa+rUqfLw8NCCBQt04sQJBQUFqVOnThoxYsRN72LbsmWL5s+fr//85z/Kzs5W1apV1aFDB73wwgsqV66cw9g1a9ZowYIFOn78uCwWixo0aKA///nPGjBggH3M1KlTJUnR0dEOx+Y+ibpt27Z5LpctXrxYzZo1K3A9N3uCdu7a3bp1K+wfMYAiIBgBcEu/DkaEAwAlhUtpAAAANgQjAAAAGy6lAXArt9pvs2HDBt17770uqAjA3YRgBAAAYMOlNAAAABuCEQAAgA3BCAAAwIZgBAAAYEMwAgAAsCEYAQAA2BCMAAAAbAhGAAAANv8f7sMFr+ypjigAAAAASUVORK5CYII=","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"markdown","metadata":{"id":"WbspNjE5W4M-"},"source":["## 💬 Lexical Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13462,"status":"ok","timestamp":1703934118097,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"g2fny_laW4M-","outputId":"0704565c-7e1a-4cd2-8a89-c79e220a0dd0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","teacher\n","student: 2127\n","okay: 2100\n","one: 1811\n","right: 1428\n","times: 1243\n","going: 952\n","know: 707\n","two: 650\n","good: 618\n","want: 569\n","\n","\n","multiple students\n","yes: 101\n","inaudible: 89\n","yeah: 29\n","percent: 18\n","two: 10\n","one: 7\n","half: 6\n","three: 5\n","whole: 4\n","unlike: 4\n","\n","\n","student\n","inaudible: 1453\n","times: 501\n","one: 420\n","two: 242\n","yeah: 225\n","three: 195\n","like: 180\n","yes: 177\n","four: 175\n","percent: 155\n","\n","\n","\n"]}],"source":["lexical_analyzer = LexicalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's look at the most common words per speaker in the dataset.\n","lexical_analyzer.print_word_frequency(\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 10 words per speaker.\n"," topk=10,\n"," # Let's also format the text (e.g., remove punctuation, lowercase the text, etc.)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"mh5zb9PpW4M-"},"source":["The language between the two looks pretty similar. Let's run a log-odds analysis to see what words that are more likely to be used by the tutor vs. student."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":13657,"status":"ok","timestamp":1703934135016,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"YamPzZVUW4M-","outputId":"2d397848-ad74-4d3a-eea8-add6a8120a69"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# This returns the merged dataframe of the annotated files in DATA_DIR.\n","df = lexical_analyzer.get_df()\n","\n","# We want to create two groups of df: one for the student and one for the tutor.\n","student_df = df[df[SPEAKER_COLUMN].isin(STUDENT_SPEAKER)]\n","tutor_df = df[df[SPEAKER_COLUMN] == TEACHER_SPEAKER]\n","\n","# Now we can run the log-odds analysis:\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=tutor_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # Let's name the df groups to show on the plot\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\",\n"," # Let's also run the text formatting\n"," run_text_formatting=True,\n",")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":901},"executionInfo":{"elapsed":14036,"status":"ok","timestamp":1703934152139,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"6G2s9ls7W4M-","outputId":"328406db-be2d-42c2-efab-5c6a7544cc98"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# We might also be interested in other n-grams. Let's look at the top 10 bigrams per speaker.\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=tutor_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," group1_name=\"Student\",\n"," group2_name=\"Tutor\",\n"," run_text_formatting=True,\n"," # n-grams:\n"," run_ngrams=True,\n"," n=2,\n"," topk=10\n",")"]},{"cell_type":"markdown","metadata":{"id":"N-p9P-gGW4M-"},"source":["## 📈 Temporal Analysis\n","\n","Let's look at the temporal trends of the talktime, student reasoning and uptake annotations!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1584,"status":"ok","timestamp":1703934161496,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"2U5UAkWtW4M-","outputId":"d16f6662-8669-4a1b-f09a-7aac04f11e0f"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["temporal_analyzer = TemporalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# First let's look at the talk time ratio between the speakers over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":1130,"status":"ok","timestamp":1703934170074,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"w0WT9reqW4M_","outputId":"cc996522-4709-43b7-98a7-15194db520be"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Now student reasoning over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 5 bins for the x-axis.\n"," num_bins=10,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":1190,"status":"ok","timestamp":1703934176532,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"gLWNo4r_W4M_","outputId":"45c0c81a-8f60-4dfd-eb8f-c3e7d778c780"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 5 bins for the x-axis.\n"," num_bins=10,\n",")"]},{"cell_type":"markdown","metadata":{},"source":["## 🤖 GPT Conversation Analysis\n","\n","Finally, we can also use `edu-convokit` to analyze the conversations using GPT models. Let's use GPT4 to summarize one of the conversations."]},{"cell_type":"code","execution_count":1,"metadata":{},"outputs":[],"source":["import os\n","# Remember to never share your API key!\n","os.environ[\"OPENAI_API_KEY\"]=\"YOUR_API_KEY\""]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["df = utils.load_data(os.path.join(DATA_DIR, \"3.csv\"))\n","\n","# We're going to use the GPTConversationAnalyzer to summarize the conversations. \n","# First, let's look at the prompt for summarization.\n","analyzer = GPTConversationAnalyzer()\n","\n","prompt = analyzer.preview_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," # I'm going to only use the first quarter of the transcript\n"," # Because the transcript is very long\n"," keep_transcript_fraction=0.25,\n","\n"," )"]},{"cell_type":"markdown","metadata":{},"source":["💡 We can see that the prompt is set up to summarize the transcript. If you are comfortable with the prompt, you can now prompt the model on that prompt with run_prompt"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["prompt, response = analyzer.run_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," keep_transcript_fraction=0.25,\n"," )\n","\n","print(response)"]},{"cell_type":"markdown","metadata":{"id":"T48x_SxUW4M_"},"source":["## 📚 Conclusions and Next Steps\n","\n","Great! From this tutorial, we learned how to use `edu-convokit` to preprocess, annotate and analyze the Amber dataset.\n","We saw how very simple principles built into `edu-convokit` can be used to analyze the dataset and gain insights into the data from various perspectives (qualitative, quantitative, lexical and temporal).\n","\n","Other resources you can check out include:\n","- [Tutorial on edu-convokit for the NCTE dataset](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [Tutorial on edu-convokit for the TalkMoves dataset](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [`edu-convokit` documentation](https://edu-convokit.readthedocs.io/en/latest/index.html)\n","- [`edu-convokit` GitHub repository](https://github.com/rosewang2008/edu-convokit/tree/main)\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"I7VrV3iMpvwM"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 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diff --git a/tutorials/tutorial_talkmoves.ipynb b/tutorials/tutorial_talkmoves.ipynb deleted file mode 100644 index 7e40e2d..0000000 --- a/tutorials/tutorial_talkmoves.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"0ZgsJOlTV-cA"},"source":["# Tutorial on `edu-convokit` for the TalkMoves dataset\n","\n","Welcome to the tutorial on `edu-convokit` for the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves). This tutorial will walk you through the process of using `edu-convokit` to pre-process, annotate and analyze the TalkMoves dataset.\n","\n","If you are looking for a tutorial on the individual components of `edu-convokit`, please refer to the following tutorials to get started:\n","- [Text Pre-processing Colab](https://colab.research.google.com/drive/1a-EwYwkNYHSNcNThNTXe6DNpsis0bpQK)\n","- [Annotation Colab](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw)\n","- [Analysis Colab](https://colab.research.google.com/drive/1xfrq5Ka3FZH7t9l87u4sa_oMlmMvuTfe)\n","\n","This tutorial will use all of the components!"]},{"cell_type":"markdown","metadata":{"id":"qyot5jipV-cB"},"source":["## Installation\n","\n","Let's start by installing `edu-convokit` and importing the necessary modules.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":21593,"status":"ok","timestamp":1703936794770,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"E1IPd9HnV-cC","outputId":"170889eb-0ae8-44bf-f12c-31399220d963"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-dgphjpe_\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-dgphjpe_\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 1e094c8836a3e3112cc1f996f5f12aeff013777c\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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(setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for emoji: filename=emoji-1.7.0-py3-none-any.whl size=171033 sha256=0024d11da3567b1c7f328fd06e05831297bd61be31635baec2d057a050286c56\n"," Stored in directory: /root/.cache/pip/wheels/31/8a/8c/315c9e5d7773f74b33d5ed33f075b49c6eaeb7cedbb86e2cf8\n","Successfully built edu-convokit docopt emoji\n","Installing collected packages: emoji, docopt, num2words, ftfy, clean-text, edu-convokit\n","Successfully installed clean-text-0.6.0 docopt-0.6.2 edu-convokit-0.0.1 emoji-1.7.0 ftfy-6.1.3 num2words-0.5.10\n"]}],"source":["!pip install edu-convokit"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":21995,"status":"ok","timestamp":1703936816761,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"nf3j5W8AV-cC","outputId":"f2b9c0a7-dc15-4dc9-efb3-751c2b4e0a0a"},"outputs":[{"name":"stderr","output_type":"stream","text":["WARNING:root:Since the GPL-licensed package `unidecode` is not installed, using Python's `unicodedata` package which yields worse results.\n","[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Unzipping corpora/stopwords.zip.\n"]}],"source":["from edu_convokit.preprocessors import TextPreprocessor\n","from edu_convokit.annotation import Annotator\n","from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer\n",")\n","# For helping us load data\n","from edu_convokit import utils\n","\n","import os\n","import tqdm"]},{"cell_type":"markdown","metadata":{"id":"iwnxZ8sLV-cC"},"source":["## 📑 Data\n","\n","Let's download the dataset under `raw_data/`.\n","Note we're only download a subsample of the dataset for this tutorial; this cuts down the annotation time.\n","If you would like to annotate the entire dataset, feel free to upload the entire dataset to this Colab!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":550,"status":"ok","timestamp":1703936817307,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"e66OQumaV-cD","outputId":"fc466ccb-a7be-4573-cc28-9a0dcbbd0a40"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 11:46:56-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves.zip\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 346774 (339K) [application/zip]\n","Saving to: ‘talkmoves.zip’\n","\n","\rtalkmoves.zip 0%[ ] 0 --.-KB/s \rtalkmoves.zip 100%[===================>] 338.65K --.-KB/s in 0.02s \n","\n","2023-12-30 11:46:56 (17.2 MB/s) - ‘talkmoves.zip’ saved [346774/346774]\n","\n"]}],"source":["# We will put the data here:\n","DATA_DIR = \"raw_data\"\n","!mkdir -p $DATA_DIR\n","\n","# We will put the annotated data here:\n","ANNOTATIONS_DIR = \"annotations\"\n","!mkdir -p $ANNOTATIONS_DIR\n","\n","# # Download the data\n","!wget \"https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves.zip\"\n","\n","# # Unzip the data\n","!unzip -n -q talkmoves.zip -d $DATA_DIR\n","\n","# Data directory is then raw_data/talkmoves\n","DATA_DIR = \"raw_data/talkmoves\""]},{"cell_type":"code","execution_count":null,"metadata":{"id":"uFT_56rtV-cD"},"outputs":[],"source":["# We'll set the important variables specific to this dataset. If you open one of the files, you'll see that the\n","# speaker and text columns are defined as:\n","TEXT_COLUMN = \"Sentence\"\n","SPEAKER_COLUMN = \"Speaker\"\n","\n","# We will also define the annotation columns.\n","# For the purposes of this tutorial, we will only be using talktime, student_reasoning, and uptake.\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","UPTAKE_COLUMN = \"uptake\""]},{"cell_type":"markdown","metadata":{"id":"28sYVNWJV-cD"},"source":["One thing that will be important is knowing how the teacher/tutor and student are represented in the dataset.\n","Let's load some examples and see how they are represented."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"LUqIcq6YV-cD"},"outputs":[],"source":["files = os.listdir(DATA_DIR)\n","files = [os.path.join(DATA_DIR, f) for f in files if utils.is_valid_file_extension(f)]\n","\n","df = utils.merge_dataframes_in_list(files)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":519},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1703936943212,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"yZzWrdaxV-cD","outputId":"30c85bab-849b-46ea-ba8e-804b7361e10a"},"outputs":[{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    5NaNNaN1.0T/R1Do you remember it looks like this.1 - NoneNaN
    9494.0NaN49.0THow many of you disagree?3 - Getting Students to RelateNaN
    5353.0NaNNaNErik and BrianYeahNaN2 - Relating to Another Student
    135135.0NaN86.0MarkIf, if the blue was one whole, what would the ...NaN3 - Asking for More Information
    193193.0NaN85.0TOr the people who aren't sure want to tell us...2 - Keeping Everyone TogetherNaN
    9393.0NaN17.0TJoey?2 - Keeping Everyone TogetherNaN
    3434.0NaN11.0TI want to call the white rod one half.1 - NoneNaN
    4242.0NaN31.0Alan[Puts three light green rods on top of the blu...NaN5 - Providing Evidence / Explaining Reasoning
    46NaNNaN31.0T/R1Do the number names change?2 - Keeping Everyone TogetherNaN
    839839.0NaN481.0TOkay, but why, how could she be sure?3 - Getting Students to RelateNaN
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    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","5 NaN NaN 1.0 T/R1 \n","94 94.0 NaN 49.0 T \n","53 53.0 NaN NaN Erik and Brian \n","135 135.0 NaN 86.0 Mark \n","193 193.0 NaN 85.0 T \n","93 93.0 NaN 17.0 T \n","34 34.0 NaN 11.0 T \n","42 42.0 NaN 31.0 Alan \n","46 NaN NaN 31.0 T/R1 \n","839 839.0 NaN 481.0 T \n","\n"," Sentence \\\n","5 Do you remember it looks like this. \n","94 How many of you disagree? \n","53 Yeah \n","135 If, if the blue was one whole, what would the ... \n","193 Or the people who aren't sure want to tell us... \n","93 Joey? \n","34 I want to call the white rod one half. \n","42 [Puts three light green rods on top of the blu... \n","46 Do the number names change? \n","839 Okay, but why, how could she be sure? \n","\n"," Teacher Tag \\\n","5 1 - None \n","94 3 - Getting Students to Relate \n","53 NaN \n","135 NaN \n","193 2 - Keeping Everyone Together \n","93 2 - Keeping Everyone Together \n","34 1 - None \n","42 NaN \n","46 2 - Keeping Everyone Together \n","839 3 - Getting Students to Relate \n","\n"," Student Tag \n","5 NaN \n","94 NaN \n","53 2 - Relating to Another Student \n","135 3 - Asking for More Information \n","193 NaN \n","93 NaN \n","34 NaN \n","42 5 - Providing Evidence / Explaining Reasoning \n","46 NaN \n","839 NaN "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# Randomly show 10 rows\n","df.sample(10)"]},{"cell_type":"markdown","metadata":{"id":"CDKdnbhKV-cD"},"source":["The students and teachers are inconsistently represented in the dataset.\n","Let's look at all the speakers in the dataset:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":229,"status":"ok","timestamp":1703936955074,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"eBVengjGV-cD","outputId":"8379d394-a0ad-428e-e360-02e03cffa98d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Speaker names: ['T' 'David' 'Meredith' 'Beth' 'Meredith and David' 'T 2' 'Danielle' 'T2'\n"," 'Gregory' 'Michael' 'Andrew' 'Laura' 'Jessica' 'Audra' 'Kelly' 'Brian'\n"," 'Jessica and Audra' 'SS' 'Erik' 'Mark' 'Graham' 'Others' nan 'S' 'BRYAN'\n"," 'DANIEL' 'ANDREW' 'CYNTHIA' 'SAURABH' 'STUDENT 1' 'MS. Liu' 'JAKE'\n"," 'ASHANK' 'Alan' 'ALYSSA' 'SN' 'KEVIN' 'SI' 'Amy' 'Jackie' 'PARTNER'\n"," 'TIMOTHY' 'Jacquelyn' 'T/R1' 'Students' 'Student' 'LINDA FISHER'\n"," 'DEBORAH' 'Jason' 'CHARLOTTE' 'Jeff' 'Michelle' 'Milin' 'Stephanie'\n"," 'Stephanie & Jeff' 'Michelle & Milin' 'Blonde' 'Milin,' '~23' 'All'\n"," 'Michelle & Jeff' 'R2' 'CECILIO DIMAS' 'STUDENT' 'Erik and Brian'\n"," 'SAMUEL' 'OSI' 'CLAIRE']\n"]}],"source":["speaker_names = df[SPEAKER_COLUMN].unique()\n","\n","print(\"Speaker names: \", speaker_names)\n"]},{"cell_type":"markdown","metadata":{"id":"b4luDlvVV-cD"},"source":["It seems like the teacher's speaker name starts with T.\n","The student's speaker name are all other names.\n","Let's split the names into two groups: teacher and student."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703936956147,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"uoDt1DEPV-cD","outputId":"3b2564ce-7a58-49bc-f291-1bdf19eb66cf"},"outputs":[{"name":"stdout","output_type":"stream","text":["Teacher speaker: ['T', 'T 2', 'T2', 'TIMOTHY', 'T/R1']\n","Student speaker: ['David', 'Meredith', 'Beth', 'Meredith and David', 'Danielle', 'Gregory', 'Michael', 'Andrew', 'Laura', 'Jessica', 'Audra', 'Kelly', 'Brian', 'Jessica and Audra', 'SS', 'Erik', 'Mark', 'Graham', 'Others', 'S', 'BRYAN', 'DANIEL', 'ANDREW', 'CYNTHIA', 'SAURABH', 'STUDENT 1', 'MS. Liu', 'JAKE', 'ASHANK', 'Alan', 'ALYSSA', 'SN', 'KEVIN', 'SI', 'Amy', 'Jackie', 'PARTNER', 'Jacquelyn', 'Students', 'Student', 'LINDA FISHER', 'DEBORAH', 'Jason', 'CHARLOTTE', 'Jeff', 'Michelle', 'Milin', 'Stephanie', 'Stephanie & Jeff', 'Michelle & Milin', 'Blonde', 'Milin,', '~23', 'All', 'Michelle & Jeff', 'R2', 'CECILIO DIMAS', 'STUDENT', 'Erik and Brian', 'SAMUEL', 'OSI', 'CLAIRE']\n"]}],"source":["# Let's remove nan speakers\n","speaker_names = [_ for _ in speaker_names if str(_) != \"nan\"]\n","\n","# And let's make sure the names are interpreted as strings\n","speaker_names = [str(_) for _ in speaker_names]\n","\n","# Create a regex for the teacher names\n","TEACHER_START_LETTER = \"T\"\n","TEACHER_SPEAKER = [_ for _ in speaker_names if _.startswith(TEACHER_START_LETTER)]\n","STUDENT_SPEAKER = [_ for _ in speaker_names if _ not in TEACHER_SPEAKER]\n","\n","print(\"Teacher speaker: \", TEACHER_SPEAKER)\n","print(\"Student speaker: \", STUDENT_SPEAKER)"]},{"cell_type":"markdown","metadata":{"id":"YdFGVGlnV-cD"},"source":["There are some names in the teacher list that belong to the student. Let's just manually fix that:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":141,"status":"ok","timestamp":1703936973106,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ZdIu96VfV-cD","outputId":"bf16e813-e3f4-4fd3-904a-3409d33f6cbb"},"outputs":[{"name":"stdout","output_type":"stream","text":["Teacher speaker: ['T', 'T 2', 'T2', 'T/R1']\n","Student speaker: ['David', 'Meredith', 'Beth', 'Meredith and David', 'Danielle', 'Gregory', 'Michael', 'Andrew', 'Laura', 'Jessica', 'Audra', 'Kelly', 'Brian', 'Jessica and Audra', 'SS', 'Erik', 'Mark', 'Graham', 'Others', 'S', 'BRYAN', 'DANIEL', 'ANDREW', 'CYNTHIA', 'SAURABH', 'STUDENT 1', 'MS. Liu', 'JAKE', 'ASHANK', 'Alan', 'ALYSSA', 'SN', 'KEVIN', 'SI', 'Amy', 'Jackie', 'PARTNER', 'Jacquelyn', 'Students', 'Student', 'LINDA FISHER', 'DEBORAH', 'Jason', 'CHARLOTTE', 'Jeff', 'Michelle', 'Milin', 'Stephanie', 'Stephanie & Jeff', 'Michelle & Milin', 'Blonde', 'Milin,', '~23', 'All', 'Michelle & Jeff', 'R2', 'CECILIO DIMAS', 'STUDENT', 'Erik and Brian', 'SAMUEL', 'OSI', 'CLAIRE', 'TIMOTHY']\n"]}],"source":["FALSE_POSITIVE_NAMES = [\"TIMOTHY\"]\n","\n","# Remove from the teacher speaker list\n","TEACHER_SPEAKER = [_ for _ in TEACHER_SPEAKER if _ not in FALSE_POSITIVE_NAMES]\n","\n","# Add to the student speaker list\n","STUDENT_SPEAKER.extend(FALSE_POSITIVE_NAMES)\n","\n","print(\"Teacher speaker: \", TEACHER_SPEAKER)\n","print(\"Student speaker: \", STUDENT_SPEAKER)"]},{"cell_type":"markdown","metadata":{"id":"blTi-uo4V-cE"},"source":["## 📝 Text Pre-Processing and Annotation\n","\n","Let's first preprocess and annotate the dataset with `edu-convokit`. The following section will:\n","- Read each file in the dataset and preprocess it using `edu-convokit`'s `Preprocessor`. We'll need to anonymize the names and merge the utterances by speaker.\n","- Then, annotate the file using `edu-convokit`'s `Annotator` for talktime, student reasoning and uptake.\n","- Finally, save the annotated file under `data/annotated/`.\n","\n","Let's get started!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"ynNwS9H7V-cE"},"outputs":[],"source":["# First, let's create the replacement names for the teacher and student speakers\n","TEACHER_REPLACEMENT_NAMES = [\"[TEACHER]\"] * len(TEACHER_SPEAKER)\n","\n","# We will replace the student names with [STUDENT_0], [STUDENT_1], etc.\n","# This will approximately preserve the unique identity of each student, while also anonymizing them.\n","STUDENT_REPLACEMENT_NAMES = [f\"[STUDENT_{i}]\" for i in range(len(STUDENT_SPEAKER))]\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["9b4763d9c03c4ffca64ad682a5ae0f55","57ee5dd5d8ea4ad69bc1ab257bfd1813","67a4f0df25364ef498de81a379637412","7c674773bdb14a8b8981f1682a843bf0","4573417126674438887830f36a5d2b15","63d2f514465241fdbd4139db60578f05","366b9c430d264df2a7bd8ccf72fd7f02","082b744a84144fb29d7b140dde18b69d","4f6297a807e4464688e054bf661c3c15","8352d4b57c8b426ab8aefe54d6170376","cfa501518d5d4ea09758d33e3689d582","c8a7d3dbcf194abfb22538b9a620b2d2","e61d650fd3bf41d79f3408577967caad","9358bd9840ab4cb4aa7fefd82b65bddb","915036b052114b6a8cd78b17bdcf7d26","210052ece30648b5b04402f06b56c3a3","2785f28465ac47ada4ea86b560d68ede","7435e8d174f640078df20cfad45a9e2a","c62cf5556dd3410e892481e892b9184f","53a2f9c210894c538cfd8f9d64ac0e20","430601f6fcbb4f9c8d2921bf78b70e1e","ff8992e1e65e45e1bbf69020c5ce1ccf","d848d59514d54253a4d1e609436c603a","da84d4b341e947a3a9ed7aeeb129bb7e","94131245d1294befba8e6a9ba81b7a8d","499448698bb3464ca189dfdad49ba164","dd367d1589874a2d9d7db57e98ca7a88","0014799175bc430e9a25ca4b8ec682bd","4317e92e97044e029418e93f2172a49a","f4047591c0184f4baf84efb130831096","c51ea360d85b42e4ac35fc4154d8fb79","f9a621d46ca84430a55eeddb338f48e8","5b106cfbd4a8419390f2d010a914dfb4","66f02c19850546c59a69c4f2ecde17b5","9fc4abe082564145ae4ea544a20e4fe5","3659dff7761a46c9ab84cb07130e9037","b1dd339af58c4807b8fe2f199ddfa664","e4e469f9b49a4e2eac09a3039788933c","36c90fcd3dac48ce89ca47b2ae586f95","415c51f4458c498ab750fe080fe5a6cb","dc5520b56bd444f7b568eab23b85d9c8","c54b490bd2a64069ae141ef6852c09e6","f1b1738ea375490fa811c40a980e1228","06d2d509efb34c239fec3d8dc0bed8ae","d6fdf448dfb248cc9eb7654fda5a5c50","43fd023035984ee180f5599c7570f38d","9af5e5ac5d5a44998ace8cbe5a1ce8e6","57b158a2f4a94d6383f31faaf8361657","90d64e9e5be14fd79a64ebc2535a62a3","ab1368d7fef24cde93323212f8b961a6","61b61d88843341b48940e2cf7ef5e47a","431f2bcd27a94ddc99b9f083be783ed0","bec7663bd6ec462fbe6572fbf100d4f4","47f592dec0f24ef7b6c4b5e06362b9b4","1cbe3fe49064418eb0541b2eca24086f","dca60baf19364cdebfd5aed821cc0d07","19409eb01527439cab7f72103bf61ed7","9dd314b86fa04bdabb388b8c67404f80","fd9c06b823de435cbe785e3cf9e86023","fd83e472b11c4b34abd5f37101962520","aaee717f3e3e4de38c1053d147bed63e","4f438225124943d29a62cce0491fe238","7cf31e9ace8f4b6aad4dfaeaa8e2a273","422d8f1cdd1e4958b97a8bec8d0cd36f","f821914d858b47beb3ca939bf4bf89c6","fa125aa396bb49539248ba78b7827018","9856018958e342c2adc644a68e9ad997","b5606fc1c761472d959c3f26c0f7e059","374df26d1fc3476481e7063bb2046ab2","d4a6bc1ebe35412ebc615a7e0a12e174","a1ec7f2ef8004bc68ff11d20ea7e476d","a7f931732d9f4fd1ac64d36606487316","8ded43738a34414e8ea3760f1aaaee6d","06469507823f46f09b8ddfcebeda615e","fe5c73fabfcd41878c4f65738f6a321e","6dfbea73480a48eab4ceeb28a0b270d7","2ec35e33bdbb448d9beaf8fc5c679327","3738f536813b4aec87b7430694fcafb7","757a456e7a04408195b7b070834c304a","6e9dfc30b9da46ca909ed045b4292acf","c2385b00c83641cd91dd025937b015d4","f1cf797b228943569a67a4e9cffc6170","858582b165184c2a917bfec55bf01307","1c9b83c72adf4613b4a58c3cf10be5b0","0a980333095b4f0994629d84e7553d5f","24f7d01772ec488cad57cfe3f5146940","0733b24750804a1382c7e8ed64a7011a","d84127b4eb664ffbafcac142d01f423d","6ea551d5f14948a3a9a51f9ac7731556","98298ba7d9d144deb338ef979b0d1732","4ebc10335e8c4c4ca663f4fc6f6a5bc1","a5652eb34d5e47c7a2ee8437994fea06","2fd6d7e09a2b4c8ab462dadb7e89e1fa","35a9949fb8274e779a63a2468fd97371","ddf58472475841f5bf27413db13ea732","7750912eba2a404f9443b728ce840b23","d4ac8d92f28d46849bb1273fc440cceb","a493cbc8b0bd4f76954298eb2be5d85b","bd29562a9b32436c86000a1b6c95035e","d09822f5fd55424d8ee1135b854673ea","c026a9232e264cd8a0dce335e979a9d6","d8c3ece26866425cb52e2677c98a1a2f","a2d5ca78b959418d9ffdfb04bbbcdd48","ac5a57f770614ab4a7033c2536aa9f43","c9ce4a2004774b04b7ab93a99a8d2317","460fa36ba7994c6b936804bf00193216","5ac69ddad72f41e6894b79c2fd94d762","400b5518eb404e4b86c116855654498e","6d1546777c754bc6bae750cd5521ccc3","63c567abeb5e49658ed368da2968620c","dbaf178021cb4b78b16b2e4e5c575718","56feed4fa32149148032db716c962b34","c447442d742e4353b9cbb512638844cb","fcb640929dc44a80aaf9c33db8418a5e","41ac1d4ccc694abf8798d2e09057dcd1","dcfeff4e518445658e1165338481ddd8","47b2e643634645f9bee6742b3db6abcf","4d0a261e60504b3e8f3b0f4a7dbf2dc2","e561670a6d2848098247337737726e02","4e59d0eff683490083adc8c6a855a3b5","a9422b5598cf45f7a275aac9f2262e04"]},"executionInfo":{"elapsed":326273,"status":"ok","timestamp":1703937302564,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"wqRB6A3AV-cE","outputId":"3fad5115-bf67-4eaf-bc99-30d4cb2adb01"},"outputs":[{"name":"stderr","output_type":"stream","text":["\r 0%| | 0/30 [00:00> [TEACHER]: Okay, that’s really great. Okay, you are really wonderful. We have about five more minutes where we can do some problem solving [STUDENT_3] then put these things away. This is what I would like you to do. I would like you to take a turn to make a problem that will challenge your partner…\n","\n","talktime: 54\n",">> [TEACHER]: I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger [STUDENT_3] if so, if one is bigger, by how much. Why don’t you work with your partner [STUDENT_3] see what you can do.\n","\n","talktime: 54\n",">> [TEACHER]: Let me write this down. This, what you are saying here is so important, here. Let me see if I can write this down. You're saying that you're calling the red, you're giving red the number name, right? The length of the red, right? We'll give it the number name, what did you say?\n","\n","talktime: 4\n",">> [STUDENT_15]: I made a problem.\n","\n","talktime: 4\n",">> [STUDENT_15]: You don’t know mine.\n","\n","talktime: 4\n",">> [TEACHER]: What would be what?\n","\n","talktime: 6\n",">> [TEACHER]: And ask your partner that problem,\n","\n","talktime: 6\n",">> [TEACHER] [TEACHER]: This looks interesting. Are you experimenting?\n","\n","talktime: 6\n",">> [TEACHER] [TEACHER]: You have to make it convincing.\n","\n"]}],"source":["# We're going to look at examples from the entire dataset.\n","qualitative_analyzer = QualitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Examples of talktime. Will show random examples from the dataset.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TALK_TIME_COLUMN,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1703937329492,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"VGrnPunzV-cE","outputId":"ddbddb92-f4f7-4cca-96ed-a4dd8f5f8502"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> [STUDENT_29]: [Puts three light green rods on top of the blue rod] There, that would, if you look down it would equal up to a blue.\n","\n","student_reasoning: 1.0\n",">> [STUDENT_15]: And I know that that’s half of [He points to the orange rod], [STUDENT_3] I know that yellow is half of orange, which is ten.\n","\n","student_reasoning: 1.0\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","\n"]}],"source":["# Examples of student reasoning. Let's look at positive examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1,"status":"ok","timestamp":1703937330005,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"I8X0orSvV-cE","outputId":"24c53dc9-6fa5-4b47-d811-3ea0230be63a"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n",">> [STUDENT_15]: You just don’t know the problem I just made up. You don’t know the problem I made up.\n","\n","student_reasoning: 0.0\n",">> [STUDENT_15]: I have a problem already. I have a problem. I have a problem, remember it? If a light green, um, no, no.\n","\n","student_reasoning: 0.0\n",">> [STUDENT_15]: I have one for you, too. [[TEACHER] [TEACHER] walks over] I have a problem.\n","\n"]}],"source":["# We can also look at negative examples:\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=0.0,\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":192,"status":"ok","timestamp":1703937330392,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"guK26yJRV-cE","outputId":"0124d7f9-b4a7-4d5f-f72d-885cc8633889"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","[STUDENT_15]: If a light green was one third, what would be a whole?\n",">> [TEACHER]: What would be what?\n","\n","uptake: 1.0\n","[STUDENT_15]: If a light green was one third, what would be a whole?\n",">> [TEACHER]: One, what would one be.\n","\n","uptake: 1.0\n","[STUDENT_29]: [Puts three light green rods on top of the blue rod] There, that would, if you look down it would equal up to a blue.\n",">> [TEACHER]: Hold on, I’m a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","\n"]}],"source":["# Examples of uptake.\n","qualitative_analyzer.print_examples(\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," # I want to look at positive examples of uptake (uptake = 1.0)\n"," feature_value=1.0,\n"," # ... and look at the previous student utterance (show_k_previous_lines = 1).\n"," # This is interesting because it will show us how the teacher is responding to the student's utterance.\n"," show_k_previous_lines=1,\n",")"]},{"cell_type":"markdown","metadata":{"id":"as3Ho8MNV-cE"},"source":["### 📊 Quantitative Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":2053,"status":"ok","timestamp":1703937741538,"user":{"displayName":"Rose 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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","[STUDENT_0] 3.0 0.082532 0.055057 0.038502 0.051667 0.064833 0.104548 0.144262\n","[STUDENT_10] 1.0 0.052941 NaN 0.052941 0.052941 0.052941 0.052941 0.052941\n","[STUDENT_11] 2.0 0.050219 0.010940 0.042484 0.046351 0.050219 0.054087 0.057955\n","[STUDENT_12] 6.0 0.103688 0.088372 0.004112 0.022533 0.114360 0.180103 0.195356\n","[STUDENT_14] 5.0 0.006621 0.006594 0.000435 0.000936 0.004612 0.012336 0.014786\n","[STUDENT_15] 11.0 0.149584 0.111150 0.002649 0.083878 0.131579 0.187356 0.379571\n","[STUDENT_15] [STUDENT_3] [STUDENT_12] 1.0 0.000801 NaN 0.000801 0.000801 0.000801 0.000801 0.000801\n","[STUDENT_16] 2.0 0.013095 0.004014 0.010256 0.011676 0.013095 0.014514 0.015933\n","[STUDENT_17] 3.0 0.016949 0.017947 0.001677 0.007066 0.012454 0.024586 0.036717\n","[STUDENT_18] 1.0 0.000419 NaN 0.000419 0.000419 0.000419 0.000419 0.000419\n","[STUDENT_19] 13.0 0.158800 0.186038 0.004929 0.051454 0.079588 0.146341 0.584345\n","[STUDENT_1] 6.0 0.144681 0.167141 0.013691 0.025632 0.059223 0.273155 0.377049\n","[STUDENT_1] [STUDENT_3] [STUDENT_0] 1.0 0.005464 NaN 0.005464 0.005464 0.005464 0.005464 0.005464\n","[STUDENT_20] 1.0 0.040346 NaN 0.040346 0.040346 0.040346 0.040346 0.040346\n","[STUDENT_21] 2.0 0.170696 0.017246 0.158501 0.164599 0.170696 0.176794 0.182891\n","[STUDENT_22] 6.0 0.085113 0.077821 0.044715 0.045282 0.050777 0.072001 0.241883\n","[STUDENT_23] 2.0 0.087668 0.080432 0.030794 0.059231 0.087668 0.116106 0.144543\n","[STUDENT_24] 4.0 0.090441 0.077632 0.031746 0.048115 0.062901 0.105227 0.204214\n","[STUDENT_25] 2.0 0.161549 0.145949 0.058347 0.109948 0.161549 0.213149 0.264750\n","[STUDENT_26] 1.0 0.011345 NaN 0.011345 0.011345 0.011345 0.011345 0.011345\n","[STUDENT_27] 3.0 0.076598 0.056412 0.030794 0.045092 0.059390 0.099500 0.139610\n","[STUDENT_28] 3.0 0.092144 0.015845 0.077796 0.083641 0.089485 0.099317 0.109149\n","[STUDENT_29] 5.0 0.126505 0.055537 0.042045 0.104058 0.142857 0.158890 0.184676\n","[STUDENT_2] 3.0 0.009829 0.007439 0.002186 0.006221 0.010256 0.013651 0.017045\n","[STUDENT_30] 1.0 0.064877 NaN 0.064877 0.064877 0.064877 0.064877 0.064877\n","[STUDENT_31] 4.0 0.066166 0.090450 0.002237 0.018617 0.031213 0.078761 0.200000\n","[STUDENT_32] 3.0 0.089839 0.021829 0.077236 0.077236 0.077236 0.096140 0.115044\n","[STUDENT_33] 2.0 0.069106 0.000000 0.069106 0.069106 0.069106 0.069106 0.069106\n","[STUDENT_34] 2.0 0.023347 0.029145 0.002738 0.013043 0.023347 0.033652 0.043956\n","[STUDENT_35] 3.0 0.054487 0.073891 0.001965 0.012241 0.022517 0.080748 0.138980\n","[STUDENT_36] 1.0 0.011364 NaN 0.011364 0.011364 0.011364 0.011364 0.011364\n","[STUDENT_37] 2.0 0.055127 0.010618 0.047619 0.051373 0.055127 0.058881 0.062635\n","[STUDENT_38] 1.0 0.012500 NaN 0.012500 0.012500 0.012500 0.012500 0.012500\n","[STUDENT_39] 1.0 0.005682 NaN 0.005682 0.005682 0.005682 0.005682 0.005682\n","[STUDENT_40] 1.0 0.021669 NaN 0.021669 0.021669 0.021669 0.021669 0.021669\n","[STUDENT_41] 1.0 0.048957 NaN 0.048957 0.048957 0.048957 0.048957 0.048957\n","[STUDENT_42] 1.0 0.047352 NaN 0.047352 0.047352 0.047352 0.047352 0.047352\n","[STUDENT_43] 2.0 0.026003 0.016571 0.014286 0.020144 0.026003 0.031862 0.037721\n","[STUDENT_44] 1.0 0.132927 NaN 0.132927 0.132927 0.132927 0.132927 0.132927\n","[STUDENT_45] 1.0 0.094036 NaN 0.094036 0.094036 0.094036 0.094036 0.094036\n","[STUDENT_45] & [STUDENT_44] 1.0 0.000145 NaN 0.000145 0.000145 0.000145 0.000145 0.000145\n","[STUDENT_45] & [STUDENT_46] 1.0 0.000871 NaN 0.000871 0.000871 0.000871 0.000871 0.000871\n","[STUDENT_46] 1.0 0.133507 NaN 0.133507 0.133507 0.133507 0.133507 0.133507\n","[STUDENT_46], 1.0 0.001016 NaN 0.001016 0.001016 0.001016 0.001016 0.001016\n","[STUDENT_47] 1.0 0.193441 NaN 0.193441 0.193441 0.193441 0.193441 0.193441\n","[STUDENT_47] & [STUDENT_44] 1.0 0.000726 NaN 0.000726 0.000726 0.000726 0.000726 0.000726\n","[STUDENT_4] 4.0 0.092072 0.110127 0.025918 0.028582 0.043212 0.106702 0.255947\n","[STUDENT_50] 1.0 0.000145 NaN 0.000145 0.000145 0.000145 0.000145 0.000145\n","[STUDENT_53] 1.0 0.000871 NaN 0.000871 0.000871 0.000871 0.000871 0.000871\n","[STUDENT_55] 1.0 0.001887 NaN 0.001887 0.001887 0.001887 0.001887 0.001887\n","[STUDENT_56] 1.0 0.735250 NaN 0.735250 0.735250 0.735250 0.735250 0.735250\n","[STUDENT_59] 1.0 0.007937 NaN 0.007937 0.007937 0.007937 0.007937 0.007937\n","[STUDENT_5] 1.0 0.019981 NaN 0.019981 0.019981 0.019981 0.019981 0.019981\n","[STUDENT_60] 1.0 0.004762 NaN 0.004762 0.004762 0.004762 0.004762 0.004762\n","[STUDENT_61] 1.0 0.004762 NaN 0.004762 0.004762 0.004762 0.004762 0.004762\n","[STUDENT_62] 2.0 0.137668 0.115241 0.056180 0.096924 0.137668 0.178412 0.219156\n","[STUDENT_6] 8.0 0.041322 0.042725 0.002649 0.009801 0.029687 0.059497 0.130818\n","[STUDENT_7] 1.0 0.021569 NaN 0.021569 0.021569 0.021569 0.021569 0.021569\n","[STUDENT_8] 2.0 0.004774 0.000643 0.004320 0.004547 0.004774 0.005001 0.005229\n","[STUDENT_9] 6.0 0.047136 0.046222 0.005298 0.014495 0.040520 0.054591 0.131373\n","[STUDENT_9] [STUDENT_3] [STUDENT_10] 1.0 0.026797 NaN 0.026797 0.026797 0.026797 0.026797 0.026797\n","[TEACHER] 27.0 0.577200 0.194013 0.252459 0.448436 0.586710 0.700936 0.936508\n","[TEACHER] [TEACHER] 2.0 0.206389 0.017239 0.194199 0.200294 0.206389 0.212484 0.218579\n","[TEACHER]/R1 2.0 0.722468 0.036595 0.696591 0.709529 0.722468 0.735406 0.748344\n","~23 1.0 0.002612 NaN 0.002612 0.002612 0.002612 0.002612 0.002612\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["quantitative_analyzer = QuantitativeAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Let's create a speaker mapping to shorten the speaker names. Teacher -> T, Student{i} -> S{i}\n","speaker_mapping = {\n"," **{_: \"T\" for _ in TEACHER_REPLACEMENT_NAMES},\n"," **{_: f\"S{i}\" for i, _ in enumerate(STUDENT_REPLACEMENT_NAMES)}\n","}\n","\n","# For figure formatting because there are a lot of students\n","import matplotlib.pyplot as plt\n","plt.figure(figsize=(len(TEACHER_REPLACEMENT_NAMES + STUDENT_REPLACEMENT_NAMES)/2, 6))\n","\n","# Let's plot the talk time ratio between the speakers.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\",\n"," label_mapping=speaker_mapping\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # Proportion of talk time for each speaker.\n"," value_as=\"prop\"\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":1820,"status":"ok","timestamp":1703937775548,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"kn8Kxif3V-cE","outputId":"8a0e669b-22de-42bd-c77c-b420afca9964"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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    "]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["student_reasoning\n","\n","Average statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","[STUDENT_0] 3.0 0.714286 0.494872 0.142857 0.571429 1.000000 1.000000 1.000000\n","[STUDENT_10] 1.0 0.333333 NaN 0.333333 0.333333 0.333333 0.333333 0.333333\n","[STUDENT_11] 2.0 0.250000 0.353553 0.000000 0.125000 0.250000 0.375000 0.500000\n","[STUDENT_12] 5.0 0.466667 0.361325 0.000000 0.333333 0.500000 0.500000 1.000000\n","[STUDENT_14] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_15] 9.0 0.373016 0.363437 0.000000 0.071429 0.285714 0.500000 1.000000\n","[STUDENT_15] [STUDENT_3] [STUDENT_12] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_16] 2.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_17] 2.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_18] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_19] 12.0 0.250000 0.349964 0.000000 0.000000 0.000000 0.437500 1.000000\n","[STUDENT_1] 6.0 0.352381 0.377063 0.000000 0.053571 0.307143 0.475000 1.000000\n","[STUDENT_1] [STUDENT_3] [STUDENT_0] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_20] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_21] 2.0 0.750000 0.353553 0.500000 0.625000 0.750000 0.875000 1.000000\n","[STUDENT_22] 6.0 0.222222 0.403687 0.000000 0.000000 0.000000 0.250000 1.000000\n","[STUDENT_23] 2.0 0.500000 0.707107 0.000000 0.250000 0.500000 0.750000 1.000000\n","[STUDENT_24] 4.0 0.562500 0.515388 0.000000 0.187500 0.625000 1.000000 1.000000\n","[STUDENT_25] 2.0 0.700000 0.424264 0.400000 0.550000 0.700000 0.850000 1.000000\n","[STUDENT_26] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_27] 3.0 0.666667 0.288675 0.500000 0.500000 0.500000 0.750000 1.000000\n","[STUDENT_28] 3.0 0.833333 0.288675 0.500000 0.750000 1.000000 1.000000 1.000000\n","[STUDENT_29] 5.0 0.428182 0.445552 0.000000 0.090909 0.250000 0.800000 1.000000\n","[STUDENT_2] 2.0 0.500000 0.707107 0.000000 0.250000 0.500000 0.750000 1.000000\n","[STUDENT_30] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_31] 3.0 0.277778 0.254588 0.000000 0.166667 0.333333 0.416667 0.500000\n","[STUDENT_32] 3.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_33] 2.0 1.000000 0.000000 1.000000 1.000000 1.000000 1.000000 1.000000\n","[STUDENT_34] 1.0 1.000000 NaN 1.000000 1.000000 1.000000 1.000000 1.000000\n","[STUDENT_35] 2.0 0.392857 0.151523 0.285714 0.339286 0.392857 0.446429 0.500000\n","[STUDENT_36] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_37] 2.0 0.833333 0.235702 0.666667 0.750000 0.833333 0.916667 1.000000\n","[STUDENT_38] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_39] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_40] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_41] 1.0 0.333333 NaN 0.333333 0.333333 0.333333 0.333333 0.333333\n","[STUDENT_42] 1.0 1.000000 NaN 1.000000 1.000000 1.000000 1.000000 1.000000\n","[STUDENT_43] 2.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_44] 1.0 0.146341 NaN 0.146341 0.146341 0.146341 0.146341 0.146341\n","[STUDENT_45] 1.0 0.189189 NaN 0.189189 0.189189 0.189189 0.189189 0.189189\n","[STUDENT_45] & [STUDENT_44] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_45] & [STUDENT_46] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_46] 1.0 0.153846 NaN 0.153846 0.153846 0.153846 0.153846 0.153846\n","[STUDENT_46], 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_47] 1.0 0.096154 NaN 0.096154 0.096154 0.096154 0.096154 0.096154\n","[STUDENT_47] & [STUDENT_44] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_4] 4.0 0.221154 0.259675 0.000000 0.000000 0.192308 0.413462 0.500000\n","[STUDENT_50] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_53] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_55] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_56] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_59] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_5] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_60] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_61] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_62] 2.0 0.250000 0.353553 0.000000 0.125000 0.250000 0.375000 0.500000\n","[STUDENT_6] 6.0 0.472222 0.452360 0.000000 0.083333 0.416667 0.875000 1.000000\n","[STUDENT_7] 1.0 0.000000 NaN 0.000000 0.000000 0.000000 0.000000 0.000000\n","[STUDENT_8] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[STUDENT_9] 6.0 0.305556 0.400231 0.000000 0.000000 0.166667 0.458333 1.000000\n","[STUDENT_9] [STUDENT_3] [STUDENT_10] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[TEACHER] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[TEACHER] [TEACHER] 0.0 NaN NaN NaN NaN NaN NaN NaN\n","[TEACHER]/R1 0.0 NaN NaN NaN NaN NaN NaN NaN\n","~23 0.0 NaN NaN NaN NaN NaN NaN NaN\n","\n","\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["\n","# For figure formatting because there are a lot of students\n","import matplotlib.pyplot as plt\n","plt.figure(figsize=(len(TEACHER_REPLACEMENT_NAMES + STUDENT_REPLACEMENT_NAMES)/2, 6))\n","\n","# What about the student reasoning? How often does the student use reasoning?\n","quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We change this to \"avg\" because we're now looking at within-speaker statistics.\n"," value_as=\"avg\",\n"," # We can set the y-axis limits to [0, 1] because the student reasoning column is a binary column.\n"," yrange=(0, 1),\n"," label_mapping=speaker_mapping\n",")\n","\n","# We can also print the statistics:\n","quantitative_analyzer.print_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"raKKayZaV-cF"},"source":["Note, the tutor has no `student_reasoning` because we did not annotate the tutor's utterances for student reasoning.\n","We can easily remove the tutor from the plot by dropping na values:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":354},"executionInfo":{"elapsed":1440,"status":"ok","timestamp":1703937787994,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"gVqMKLBBV-cF","outputId":"88e06990-866e-4a21-bcbc-6b664e0571e8"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n","/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/quantitative_analyzer.py:51: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["\n","# For figure formatting because there are a lot of students\n","import matplotlib.pyplot as plt\n","plt.figure(figsize=(len(TEACHER_REPLACEMENT_NAMES + STUDENT_REPLACEMENT_NAMES)/2, 6))\n","\n","quantitative_analyzer.plot_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True,\n"," label_mapping=speaker_mapping\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":484},"executionInfo":{"elapsed":430,"status":"ok","timestamp":1703937795198,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"1De0gvSvV-cF","outputId":"13f4a8ad-88d6-46cb-abef-fa3c239142f7"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances.\n","quantitative_analyzer.plot_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," yrange=(0, 1),\n"," dropna=True\n",")"]},{"cell_type":"markdown","metadata":{"id":"6ns8Bau4V-cF"},"source":["## 💬 Lexical Analysis"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4127,"status":"ok","timestamp":1703937804816,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Y3pX55STV-cF","outputId":"a0b958e7-5ea5-4f60-8634-c20494a3804c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","[TEACHER]\n","student: 695\n","one: 343\n","okay: 229\n","think: 170\n","would: 134\n","red: 101\n","right: 91\n","want: 87\n","two: 83\n","see: 82\n","\n","\n","[STUDENT_15]\n","one: 75\n","student: 58\n","two: 34\n","green: 23\n","yeah: 21\n","would: 20\n","half: 20\n","rod: 20\n","three: 20\n","call: 20\n","\n","\n","[TEACHER] [TEACHER]\n","one: 13\n","two: 10\n","okay: 9\n","student: 9\n","let: 8\n","interesting: 6\n","see: 5\n","twelfths: 4\n","hear: 3\n","clever: 3\n","\n","\n","[STUDENT_29]\n","one: 28\n","would: 16\n","student: 12\n","green: 11\n","rod: 10\n","three: 9\n","considered: 9\n","thirds: 9\n","red: 7\n","fifth: 6\n","\n","\n","[STUDENT_0]\n","one: 12\n","would: 8\n","two: 6\n","third: 4\n","student: 4\n","put: 4\n","green: 4\n","purples: 3\n","three: 3\n","yeah: 3\n","\n","\n","[STUDENT_1]\n","student: 43\n","two: 33\n","one: 30\n","put: 17\n","rod: 14\n","rods: 13\n","take: 11\n","bigger: 11\n","orange: 10\n","yeah: 10\n","\n","\n","[STUDENT_2]\n","one: 4\n","whole: 2\n","third: 2\n","half: 1\n","green: 1\n","would: 1\n","blue: 1\n","student: 1\n","put: 1\n","three: 1\n","\n","\n","[STUDENT_1] [STUDENT_3] [STUDENT_0]\n","well: 1\n","bigger: 1\n","one: 1\n","\n","\n","[STUDENT_14]\n","yeah: 8\n","one: 6\n","sixth: 5\n","two: 4\n","yes: 3\n","hmm: 2\n","thirds: 2\n","twelfths: 2\n","red: 1\n","well: 1\n","\n","\n","[STUDENT_6]\n","one: 20\n","student: 16\n","bigger: 10\n","would: 10\n","two: 8\n","like: 7\n","red: 7\n","yeah: 6\n","sixth: 6\n","equal: 5\n","\n","\n","[STUDENT_16]\n","bigger: 2\n","boat: 2\n","children: 2\n","well: 1\n","thinking: 1\n","sizes: 1\n","made: 1\n","sea: 1\n","monster: 1\n","biggest: 1\n","\n","\n","[STUDENT_17]\n","rod: 5\n","orange: 4\n","red: 2\n","well: 1\n","fit: 1\n","would: 1\n","take: 1\n","white: 1\n","student: 1\n","stick: 1\n","\n","\n","[STUDENT_18]\n","yes: 1\n","\n","\n","[STUDENT_7]\n","student: 2\n","one: 2\n","yeah: 1\n","working: 1\n","write: 1\n","example: 1\n","see: 1\n","bigger: 1\n","half: 1\n","third: 1\n","\n","\n","[STUDENT_8]\n","one: 3\n","half: 2\n","third: 1\n","red: 1\n","\n","\n","[STUDENT_9]\n","one: 30\n","student: 27\n","third: 9\n","half: 9\n","would: 8\n","rod: 7\n","green: 7\n","purple: 6\n","red: 6\n","think: 6\n","\n","\n","[STUDENT_10]\n","saw: 4\n","student: 4\n","half: 3\n","third: 3\n","two: 3\n","agree: 2\n","bigger: 2\n","comes: 1\n","overhead: 1\n","places: 1\n","\n","\n","[STUDENT_11]\n","student: 5\n","well: 3\n","red: 3\n","like: 3\n","one: 3\n","third: 2\n","put: 2\n","tallest: 2\n","black: 2\n","green: 2\n","\n","\n","[STUDENT_12]\n","one: 34\n","student: 27\n","well: 22\n","half: 22\n","like: 22\n","two: 16\n","sixth: 15\n","split: 12\n","three: 11\n","third: 10\n","\n","\n","[STUDENT_9] [STUDENT_3] [STUDENT_10]\n","one: 3\n","three: 2\n","girls: 1\n","agreeing: 1\n","demonstrates: 1\n","said: 1\n","yeah: 1\n","put: 1\n","reds: 1\n","green: 1\n","\n","\n","[STUDENT_34]\n","student: 5\n","brown: 4\n","took: 4\n","purple: 4\n","tried: 2\n","another: 2\n","looked: 2\n","half: 2\n","orange: 1\n","red: 1\n","\n","\n","[STUDENT_19]\n","student: 39\n","cups: 27\n","yeah: 14\n","one: 12\n","make: 12\n","like: 12\n","flix: 11\n","pay: 11\n","sense: 11\n","teacher: 10\n","\n","\n","[STUDENT_22]\n","student: 23\n","cups: 10\n","cream: 8\n","teacher: 7\n","chocolate: 6\n","chocolates: 5\n","equals: 4\n","kept: 4\n","think: 4\n","going: 3\n","\n","\n","[STUDENT_36]\n","really: 1\n","get: 1\n","one: 1\n","\n","\n","[STUDENT_24]\n","student: 9\n","cindy: 6\n","cups: 5\n","valerie: 5\n","yeah: 3\n","row: 3\n","given: 3\n","would: 3\n","said: 3\n","columns: 2\n","\n","\n","[STUDENT_27]\n","student: 8\n","cups: 7\n","would: 5\n","think: 3\n","thought: 3\n","teacher: 3\n","chocolate: 3\n","wrote: 2\n","ingredients: 2\n","like: 2\n","\n","\n","[STUDENT_62]\n","student: 17\n","cup: 9\n","cream: 9\n","would: 7\n","cups: 6\n","teacher: 5\n","chocolate: 4\n","thought: 3\n","whole: 3\n","recipe: 3\n","\n","\n","[STUDENT_44]\n","blue: 26\n","student: 23\n","red: 22\n","one: 18\n","teacher: 15\n","yeah: 15\n","different: 9\n","know: 8\n","see: 8\n","make: 7\n","\n","\n","[STUDENT_45]\n","teacher: 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4\n","every: 4\n","one: 3\n","\n","\n","[STUDENT_5]\n","one: 2\n","two: 2\n","three: 2\n","eighteenth: 1\n","twelfths: 1\n","four: 1\n","five: 1\n","six: 1\n","seven: 1\n","eight: 1\n","\n","\n","[STUDENT_35]\n","one: 14\n","green: 10\n","student: 8\n","light: 8\n","bigger: 7\n","half: 6\n","yeah: 5\n","six: 5\n","thought: 4\n","third: 4\n","\n","\n","[STUDENT_40]\n","hear: 2\n","think: 2\n","diagram: 1\n","well: 1\n","know: 1\n","say: 1\n","\n","\n","[STUDENT_41]\n","student: 4\n","thought: 2\n","cups: 2\n","cream: 2\n","multiplied: 2\n","another: 2\n","one: 2\n","answer: 2\n","misunderstood: 1\n","two: 1\n","\n","\n","[STUDENT_42]\n","cups: 4\n","answer: 2\n","total: 2\n","think: 1\n","person: 1\n","got: 1\n","mixed: 1\n","thinking: 1\n","times: 1\n","teacher: 1\n","\n","\n","[STUDENT_30]\n","candies: 2\n","cindy: 2\n","reading: 1\n","valerie: 1\n","shares: 1\n","box: 1\n","gave: 1\n","student: 1\n","candy: 1\n","every: 1\n","\n","\n","[TEACHER]/R1\n","student: 66\n","one: 42\n","number: 34\n","two: 32\n","name: 30\n","think: 23\n","names: 19\n","candy: 17\n","bar: 16\n","agree: 15\n","\n","\n","[STUDENT_38]\n","one: 2\n","third: 2\n","tentatively: 1\n","yes: 1\n","mmm: 1\n","hmm: 1\n","\n","\n","[STUDENT_39]\n","yeah: 1\n","dark: 1\n","blue: 1\n","\n","\n","[STUDENT_20]\n","problem: 2\n","think: 1\n","person: 1\n","answered: 1\n","read: 1\n","whole: 1\n","\n","\n","[STUDENT_15] [STUDENT_3] [STUDENT_12]\n","yeah: 1\n","\n","\n","\n"]}],"source":["lexical_analyzer = LexicalAnalyzer(data_dir=ANNOTATIONS_DIR)\n","\n","# Cast as str\n","lexical_analyzer._df[TEXT_COLUMN] = lexical_analyzer._df[TEXT_COLUMN].astype(str)\n","\n","# Let's look at the most common words per speaker in the dataset.\n","lexical_analyzer.print_word_frequency(\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 10 words per speaker.\n"," topk=10,\n"," # Let's also format the text (e.g., remove punctuation, lowercase the text, etc.)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"eRTIjn9CV-cF"},"source":["It's a bit hard to see how the student and teacher's vocabulary compare. Let's run a log-odds analysis to see which words are more likely to be used by the student or teacher."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":8619,"status":"ok","timestamp":1703937816319,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"cTCSBWB1V-cF","outputId":"d49800bf-f02d-4b82-b23a-9f75accf18af"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# This returns the merged dataframe of the annotated files in DATA_DIR.\n","df = lexical_analyzer.get_df()\n","\n","# We want to create two groups of df: one for the student and one for the tutor.\n","student_df = df[df[SPEAKER_COLUMN].isin(STUDENT_REPLACEMENT_NAMES)]\n","teacher_df = df[df[SPEAKER_COLUMN].isin(TEACHER_REPLACEMENT_NAMES)]\n","\n","# Now we can run the log-odds analysis:\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # Let's name the df groups to show on the plot\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\",\n"," # Let's also run the text formatting\n"," run_text_formatting=True,\n",")\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":901},"executionInfo":{"elapsed":5791,"status":"ok","timestamp":1703937827022,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"C6HEqYfoV-cF","outputId":"ebb2b14d-3a51-4e07-ec27-6b660e93ea46"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# We might also be interested in other n-grams. Let's look at the top 10 bigrams per speaker.\n","lexical_analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\",\n"," run_text_formatting=True,\n"," # n-grams:\n"," run_ngrams=True,\n"," n=2,\n"," topk=10,\n"," logodds_factor=0.5\n",")"]},{"cell_type":"markdown","metadata":{"id":"_G8YeqhKV-cF"},"source":["## 📈 Temporal Analysis\n","\n","Let's look at the temporal trends of the talktime, student reasoning and uptake annotations!"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1782,"status":"ok","timestamp":1703938012315,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"EhOdXcIqV-cF","outputId":"f05da105-5486-49ea-ef93-b54157a4a61e"},"outputs":[{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Cutting max num transcripts to 3 to show speakers\n","temporal_analyzer = TemporalAnalyzer(data_dir=ANNOTATIONS_DIR, max_transcripts=3)\n","\n","# First let's look at the talk time ratio between the speakers over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # Let's create 10 bins for the x-axis.\n"," num_bins=10,\n"," label_mapping=speaker_mapping\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":1914,"status":"ok","timestamp":1703938036226,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"tTjBlmJGV-cF","outputId":"a35fefbc-52b2-4289-f322-ecde8d627750"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":["
    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Now student reasoning over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 5 bins for the x-axis.\n"," num_bins=10,\n"," label_mapping=speaker_mapping\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"elapsed":896,"status":"ok","timestamp":1703938042303,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"_cWE8v-HV-cI","outputId":"02c3b1c1-b8af-48dc-8751-d38126301972"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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    "]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["
    "]},"metadata":{},"output_type":"display_data"}],"source":["# Finally, let's look at the tutor's uptake of the student's utterances over time.\n","temporal_analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"avg\",\n"," # Let's create 5 bins for the x-axis.\n"," num_bins=10,\n"," label_mapping=speaker_mapping\n",")"]},{"cell_type":"markdown","metadata":{"id":"fhjxVEuLV-cI"},"source":["## 📚 Conclusions and Next Steps\n","\n","Great! From this tutorial, we learned how to use `edu-convokit` to preprocess, annotate and analyze the Amber dataset.\n","We saw how very simple principles built into `edu-convokit` can be used to analyze the dataset and gain insights into the data from various perspectives (qualitative, quantitative, lexical and temporal).\n","\n","Other resources you can check out include:\n","- [Tutorial on edu-convokit for the NCTE dataset](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [Tutorial on edu-convokit for the Amber dataset](https://colab.research.google.com/drive/1Q3anUPcemMils4cz2gwEwDdKCjEdm6T9)\n","- [`edu-convokit` documentation](https://edu-convokit.readthedocs.io/en/latest/index.html)\n","- [`edu-convokit` GitHub repository](https://github.com/rosewang2008/edu-convokit/tree/main)\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"k7mq7jBNqBWw"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 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b/tutorials/tutorial_text_preprocessing.ipynb deleted file mode 100644 index f0aef53..0000000 --- a/tutorials/tutorial_text_preprocessing.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"k42uhYCNL17R"},"source":["# Tutorial on Text Pre-Processing for Education Language Data\n","\n","Welcome to this tutorial on using [`edu-convokit`](https://github.com/rosewang2008/edu-convokit) for text pre-processing.\n","Text pre-processing is a critical step in handling education language data.\n","- It ensures the data is clean (education data is notoriously messy).\n","- It ensures the data is standardized, ready for annotation and analysis.\n","- It ensures that the students and educators are anonymized; this is important to protect the privacy of individuals involved and allow for safe secondary data analysis.\n","\n","`edu-convokit` is designed to support these purposes.\n","\n","## 📚 Learning Objectives\n","\n","In this tutorial, you will learn how to use `TextPreprocessor` to:\n","\n","- Section Link 🔗: Anonymize your data when you know the names of your students and educators.\n","- Section Link 🔗: Anonymize your data when you do _not_ know the names of your students and educators.\n","- Section Link 🔗: Standardize your data for downstream feature annotation.\n","\n","Without further ado, let's get started!"]},{"cell_type":"markdown","metadata":{"id":"8kPOLmVwL17T"},"source":["## Installation\n","\n","Let's first install `edu-convokit`.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":19709,"status":"ok","timestamp":1703931918080,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"4YQtoaRaL17U","outputId":"c839492b-efb6-4269-c669-6d40b8c24ff7"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /tmp/pip-req-build-580kdce9\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /tmp/pip-req-build-580kdce9\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 8eb087b51abfa36a7031bf1de4e3dc40d8848186\n"," Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) (4.66.1)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) (1.23.5)\n","Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) (1.11.4)\n","Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) (3.8.1)\n","Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from edu-convokit==0.0.1) 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MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->spacy->edu-convokit==0.0.1) (2.1.3)\n","Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->edu-convokit==0.0.1) (1.3.0)\n"]}],"source":["!pip install edu-convokit"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"aYeytk12L17V"},"outputs":[],"source":["from edu_convokit.preprocessors import TextPreprocessor\n","\n","# For helping us flexibly load data\n","from edu_convokit import utils"]},{"cell_type":"markdown","metadata":{"id":"LcKP8AqWL17V"},"source":["## 📑 Data\n","\n","Let's load the data we'll be working with. We're going to be using a transcript from the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves)."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":554},"executionInfo":{"elapsed":490,"status":"ok","timestamp":1703931933263,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"U2BkkCwFL17V","outputId":"593dc399-3654-41bf-eb95-d8427eab3752"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:25:32-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves/Boats%20and%20Fish%202_Grade%204.xlsx\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 10528 (10K) [application/octet-stream]\n","Saving to: ‘Boats and Fish 2_Grade 4.xlsx.3’\n","\n","\r Boats and 0%[ ] 0 --.-KB/s \rBoats and Fish 2_Gr 100%[===================>] 10.28K --.-KB/s in 0s \n","\n","2023-12-30 10:25:32 (61.8 MB/s) - ‘Boats and Fish 2_Grade 4.xlsx.3’ saved [10528/10528]\n","\n"]},{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0DavidYeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0DavidHey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0BethOne halfNaN4 - Making a Claim
    3030NaN17.0DavidI think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, David and Meredith?2 - Keeping Everyone TogetherNaN
    3232NaN17.0DavidWhat do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and DavidWellNaN1 - None
    3434NaN18.0Davidwe thinkNaN1 - None
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    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 David \n","26 26 NaN 14.0 David \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 Beth \n","30 30 NaN 17.0 David \n","31 31 NaN NaN T \n","32 32 NaN 17.0 David \n","33 33 NaN 17.0 Meredith and David \n","34 34 NaN 18.0 David \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, David and Meredith? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["!wget \"https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/talkmoves/Boats and Fish 2_Grade 4.xlsx\"\n","\n","data_fname = \"Boats and Fish 2_Grade 4.xlsx\"\n","df = utils.load_data(data_fname) # Handles loading data from different file types including: .csv, .xlsx, .json\n","\n","# Show these lines because they contain names in the speaker and text columns.\n","df[25:35]"]},{"cell_type":"markdown","metadata":{"id":"mKpDbA76L17W"},"source":["### Some things to observe about the data...\n","\n","💡 Note: `edu-convokit` cares about two key columns: a column for the speaker and a column for the text.\n","- In the TalkMoves dataset, the speaker is in the `Speaker` column and the text is in the `Sentence` column. We can create two variables to store these column names as these will be used throughout the tutorial.\n","\n","💡 Note: We see that the names occur in the speaker and text column\n","- e.g., names like David and Meredith appear in the speaker and text column.\n","- The teacher is always shortened to \"T\" in the speaker column.\n","\n","💡 Note: The utterances from the same speaker are not always grouped together.\n","- We'll fix this in the section on standardizing the data for downstream annotation and analysis."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"XXWRYTXJL17W"},"outputs":[],"source":["# Creating variables for the columns we want to use\n","TEXT_COLUMN = \"Sentence\"\n","SPEAKER_COLUMN = \"Speaker\"\n"]},{"cell_type":"markdown","metadata":{"id":"odHyvBDKL17W"},"source":["## 📝 Anonymizing Data with Known Names\n","\n","We will now anonymize the data when we know the names of the students and educators in the dataset.\n","From our experience, this is the most common scenario in education language data where the names of the students and educators are known.\n","For example, these names come from a roster or a list of students in a class, or are officially recorded in a database.\n","\n","To do this, we need to create a list of names that we want to anonymize, and a list of replacement names that we want to use to replace the names in the dataset.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1703931933558,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"PVyIHOcdL17W","outputId":"af399ea4-e28c-4f22-b82b-60d43df552b5"},"outputs":[{"name":"stdout","output_type":"stream","text":["['T' 'David' 'Meredith' 'Beth' 'Meredith and David' 'T 2']\n"]}],"source":["# Show the names of the speakers. In your use case, you might load this from a file or database.\n","print(df[SPEAKER_COLUMN].unique())"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1703931933558,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"-eSSt5ggL17X","outputId":"bd8ae703-252f-413b-ebc9-99d74c2bc31a"},"outputs":[{"name":"stdout","output_type":"stream","text":["['[STUDENT_0]', '[STUDENT_1]', '[STUDENT_2]']\n"]}],"source":["# Create list of names and replacement names. We will make the replacement names unique so that we can easily find them later.\n","known_names = [\"David\", \"Meredith\", \"Beth\"]\n","known_replacement_names = [f\"[STUDENT_{i}]\" for i in range(len(known_names))]\n","print(known_replacement_names)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"cwB9NqieL17X"},"outputs":[],"source":["# Now let's anonymize the names in the text!\n","processor = TextPreprocessor()\n","df = processor.anonymize_known_names(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," names=known_names,\n"," replacement_names=known_replacement_names,\n"," # We will directly replace the names in the text column.\n"," # If you want to keep the original text, you can set `target_text_column` to a new column name.\n"," target_text_column=TEXT_COLUMN\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"elapsed":188,"status":"ok","timestamp":1703931933744,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"G5c836CqL17Y","outputId":"09aacde0-d8da-4838-a6f6-1e17d6d49a71"},"outputs":[{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0DavidYeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0DavidHey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0BethOne halfNaN4 - Making a Claim
    3030NaN17.0DavidI think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, [STUDENT_0] and [STUDENT_1]?2 - Keeping Everyone TogetherNaN
    3232NaN17.0DavidWhat do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and DavidWellNaN1 - None
    3434NaN18.0Davidwe thinkNaN1 - None
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    \n","\n","\n","
    \n"," \n","\n","\n","\n"," \n","
    \n","
    \n","
    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 David \n","26 26 NaN 14.0 David \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 Beth \n","30 30 NaN 17.0 David \n","31 31 NaN NaN T \n","32 32 NaN 17.0 David \n","33 33 NaN 17.0 Meredith and David \n","34 34 NaN 18.0 David \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, [STUDENT_0] and [STUDENT_1]? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["# Let's see what the anonymized text looks like!\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"UpPLDTchL17Y"},"source":["💡 Note: Nice, we can see that the text has been anonymized (e.g., line 31)!\n","\n","However, the speaker names have not been anonymized. Let's fix that."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1703931933744,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ieT9faoxL17Y","outputId":"72d2fac9-6a31-4892-e10f-60293db4c9d5"},"outputs":[{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0[STUDENT_0]Yeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0[STUDENT_0]Hey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0[STUDENT_2]One halfNaN4 - Making a Claim
    3030NaN17.0[STUDENT_0]I think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, [STUDENT_0] and [STUDENT_1]?2 - Keeping Everyone TogetherNaN
    3232NaN17.0[STUDENT_0]What do you have?NaN2 - Relating to Another Student
    3333NaN17.0[STUDENT_1] and [STUDENT_0]WellNaN1 - None
    3434NaN18.0[STUDENT_0]we thinkNaN1 - None
    \n","
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    \n","\n","\n","
    \n"," \n","\n","\n","\n"," \n","
    \n","
    \n","
    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 [STUDENT_0] \n","26 26 NaN 14.0 [STUDENT_0] \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 [STUDENT_2] \n","30 30 NaN 17.0 [STUDENT_0] \n","31 31 NaN NaN T \n","32 32 NaN 17.0 [STUDENT_0] \n","33 33 NaN 17.0 [STUDENT_1] and [STUDENT_0] \n","34 34 NaN 18.0 [STUDENT_0] \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, [STUDENT_0] and [STUDENT_1]? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df = processor.anonymize_known_names(\n"," df=df,\n"," text_column=SPEAKER_COLUMN,\n"," names=known_names,\n"," replacement_names=known_replacement_names,\n"," target_text_column=SPEAKER_COLUMN\n",")\n","\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"OlMZqjFdL17Y"},"source":["🎉 Great, now we have anonymized the speaker names as well! Some other great things are that:\n","- We have a record of the original names and the anonymized names. So if we want to go back to the original names, we can do that.\n","- The anonymized names are consistent: So [STUDENT_0] in the SPEAKER_COLUMN will refer to the same [STUDENT_0] in the TEXT_COLUMN.\n","\n","\n","This concludes the tutorial on anonymizing data with known names.\n","The next section will cover anonymizing data when you do *not* know the names of the students and educators in your dataset."]},{"cell_type":"markdown","metadata":{"id":"UPS9UK-YL17Y"},"source":["## 📝 Anonymizing Data with Unknown Names\n","\n","We will now anonymize the data when we **do not know** the names of the students and educators in the dataset.\n","Note that the anonymization will be imperfect as we do not know the names of the students and educators in the dataset and identifying names consistently is a hard task (rf. [named entity recognition](https://en.wikipedia.org/wiki/Named-entity_recognition))---so use this with caution!\n","We will show some of these failure modes in the tutorial."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1703931933744,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"wDoDXMC1L17Y","outputId":"34f6a952-9aaa-41f2-c1cd-d21c8e7aab35"},"outputs":[{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0DavidYeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0DavidHey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0BethOne halfNaN4 - Making a Claim
    3030NaN17.0DavidI think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, David and Meredith?2 - Keeping Everyone TogetherNaN
    3232NaN17.0DavidWhat do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and DavidWellNaN1 - None
    3434NaN18.0Davidwe thinkNaN1 - None
    \n","
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    \n","\n","
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    \n","\n","\n","
    \n"," \n","\n","\n","\n"," \n","
    \n","
    \n","
    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 David \n","26 26 NaN 14.0 David \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 Beth \n","30 30 NaN 17.0 David \n","31 31 NaN NaN T \n","32 32 NaN 17.0 David \n","33 33 NaN 17.0 Meredith and David \n","34 34 NaN 18.0 David \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, David and Meredith? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["# Let's start fresh with the original data\n","df = utils.load_data(data_fname)\n","df.iloc[25:35]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":397},"executionInfo":{"elapsed":5114,"status":"ok","timestamp":1703931938852,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"UZssHkshL17Y","outputId":"e9119804-46ec-41fc-9b24-351e9f80fbd1"},"outputs":[{"name":"stdout","output_type":"stream","text":["Names: ['Beth', 'David']\n","Replacement names: ['[PERSON0]', '[PERSON1]']\n"]},{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0[PERSON1]Yeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0[PERSON1]Hey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0[PERSON0]One halfNaN4 - Making a Claim
    3030NaN17.0[PERSON1]I think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, David and Meredith?2 - Keeping Everyone TogetherNaN
    3232NaN17.0[PERSON1]What do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and [PERSON1]WellNaN1 - None
    3434NaN18.0[PERSON1]we thinkNaN1 - None
    \n","
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    \n","
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    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 [PERSON1] \n","26 26 NaN 14.0 [PERSON1] \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 [PERSON0] \n","30 30 NaN 17.0 [PERSON1] \n","31 31 NaN NaN T \n","32 32 NaN 17.0 [PERSON1] \n","33 33 NaN 17.0 Meredith and [PERSON1] \n","34 34 NaN 18.0 [PERSON1] \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, David and Meredith? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["processor = TextPreprocessor()\n","df, (names, replacement_names) = processor.anonymize_unknown_names(\n"," df=df,\n"," text_column=SPEAKER_COLUMN,\n"," target_text_column=SPEAKER_COLUMN,\n"," # Will return the names and replacement names that were used.\n"," return_names=True\n",")\n","\n","print(f\"Names: {names}\")\n","print(f\"Replacement names: {replacement_names}\")\n","df.iloc[25:35]\n"]},{"cell_type":"markdown","metadata":{"id":"jCr5oWbVL17Y"},"source":["💡 Note: Observe that the name \"Meredith\" has not been anonymized.\n","`anonymize_unknown_names` currently uses spacY's named entity recognition model to identify names. This is an imperfect model and will not identify all names, as we can see here.\n","\n","There are ways we can improve this. For example:\n","- We can manually add \"Meredith\" to the list of names to anonymize and run `anonymize_known_names` again.\n","- We can cross-reference names from the [SSA database](https://www.ssa.gov/oact/babynames/limits.html) to identify names that are not identified by the model. However, this will lead to a high false positive rate, i.e., names that are not actually names will be identified as names."]},{"cell_type":"markdown","metadata":{"id":"aK_qUAPgL17Y"},"source":["To complete the anonymization process, we will use the `names` and `replacement_names` returned from `anonynmize_unknown_names` to anonymize the text. This makes the anonymization consistent between the speaker and text columns."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"elapsed":256,"status":"ok","timestamp":1703931939103,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"N3j3E-reL17Z","outputId":"696dabc1-8af3-4b88-b958-c0a021ac3d0c"},"outputs":[{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0[PERSON1]Yeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0[PERSON1]Hey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0[PERSON0]One halfNaN4 - Making a Claim
    3030NaN17.0[PERSON1]I think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, [PERSON1] and Meredith?2 - Keeping Everyone TogetherNaN
    3232NaN17.0[PERSON1]What do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and [PERSON1]WellNaN1 - None
    3434NaN18.0[PERSON1]we thinkNaN1 - None
    \n","
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    \n","
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    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 [PERSON1] \n","26 26 NaN 14.0 [PERSON1] \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 [PERSON0] \n","30 30 NaN 17.0 [PERSON1] \n","31 31 NaN NaN T \n","32 32 NaN 17.0 [PERSON1] \n","33 33 NaN 17.0 Meredith and [PERSON1] \n","34 34 NaN 18.0 [PERSON1] \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, [PERSON1] and Meredith? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df = processor.anonymize_known_names(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," target_text_column=TEXT_COLUMN,\n"," names=names,\n"," replacement_names=replacement_names\n",")\n","\n","# David is anonymized but Meredith is not (rf. line 31).\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"w_famd8QL17Z"},"source":["## 📝 Standardizing Data for Downstream Annotation and Analysis\n","\n","We will now standardize the data for downstream annotation and analysis.\n","One common standardization is to group the utterances from the same speaker together.\n","We will show how you can do this on the anonymized data.\n","\n","For other standardizations, please refer to [`edu-convokit`'s documentation](TODO), or feel free to add a feature/pull request on our [GitHub](https://github.com/rosewang2008/edu-convokit)."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"elapsed":6473,"status":"ok","timestamp":1703931945572,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"HzkWhG82L17Z","outputId":"312992d3-8fd2-458a-e544-973c40d7fa74"},"outputs":[{"data":{"text/html":["\n","
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    Unnamed: 0TimeStampTurnSpeakerSentenceTeacher TagStudent Tag
    2525NaN14.0[PERSON1]Yeah, I know, and put ‘em up to there, and tha...NaN4 - Making a Claim
    2626NaN14.0[PERSON1]Hey, wait a minute, hey wait, maybe that’s it,...NaN4 - Making a Claim
    2727NaN15.0TNow take six of the ones1 - NoneNaN
    2828NaN15.0TWhich is bigger?8 - Press for AccuracyNaN
    2929NaN16.0[PERSON0]One halfNaN4 - Making a Claim
    3030NaN17.0[PERSON1]I think one half is...NaN2 - Relating to Another Student
    3131NaNNaNTYes, [STUDENT_0] and [STUDENT_1]?2 - Keeping Everyone TogetherNaN
    3232NaN17.0[PERSON1]What do you have?NaN2 - Relating to Another Student
    3333NaN17.0Meredith and [PERSON1]WellNaN1 - None
    3434NaN18.0[PERSON1]we thinkNaN1 - None
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    \n"],"text/plain":[" Unnamed: 0 TimeStamp Turn Speaker \\\n","25 25 NaN 14.0 [PERSON1] \n","26 26 NaN 14.0 [PERSON1] \n","27 27 NaN 15.0 T \n","28 28 NaN 15.0 T \n","29 29 NaN 16.0 [PERSON0] \n","30 30 NaN 17.0 [PERSON1] \n","31 31 NaN NaN T \n","32 32 NaN 17.0 [PERSON1] \n","33 33 NaN 17.0 Meredith and [PERSON1] \n","34 34 NaN 18.0 [PERSON1] \n","\n"," Sentence \\\n","25 Yeah, I know, and put ‘em up to there, and tha... \n","26 Hey, wait a minute, hey wait, maybe that’s it,... \n","27 Now take six of the ones \n","28 Which is bigger? \n","29 One half \n","30 I think one half is... \n","31 Yes, [STUDENT_0] and [STUDENT_1]? \n","32 What do you have? \n","33 Well \n","34 we think \n","\n"," Teacher Tag Student Tag \n","25 NaN 4 - Making a Claim \n","26 NaN 4 - Making a Claim \n","27 1 - None NaN \n","28 8 - Press for Accuracy NaN \n","29 NaN 4 - Making a Claim \n","30 NaN 2 - Relating to Another Student \n","31 2 - Keeping Everyone Together NaN \n","32 NaN 2 - Relating to Another Student \n","33 NaN 1 - None \n","34 NaN 1 - None "]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["# First let's start fresh with the original data & anonymize it like we did before.\n","df = utils.load_data(data_fname)\n","processor = TextPreprocessor()\n","\n","# Anonymize text\n","df = processor.anonymize_known_names(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," names=known_names,\n"," replacement_names=known_replacement_names,\n"," target_text_column=TEXT_COLUMN\n",")\n","\n","# Anonymize speakers\n","df, (names, replacement_names) = processor.anonymize_unknown_names(\n"," df=df,\n"," text_column=SPEAKER_COLUMN,\n"," target_text_column=SPEAKER_COLUMN,\n"," return_names=True\n",")\n","\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"mYgh27y9L17Z"},"source":["Now we'll group utterances from the same speaker together."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1703931945572,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"OtQ1KMp6L17Z","outputId":"fdebfb34-f99a-4a04-8a4f-fa69b5426607"},"outputs":[{"data":{"text/html":["\n","
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    SentenceSpeaker
    25dark green[PERSON1]
    26If you put it up to a wholeMeredith
    27I’m sorry, what’s the number name for dark greenT
    28OneMeredith and [PERSON1]
    29Ok.T
    30And you put six ones up to the dark greenMeredith
    31Hold on, I’m a little confused. Tell me again....T
    32One sixthMeredith
    33One sixth.T
    34And then these, this would be[PERSON1]
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    \n"],"text/plain":[" Sentence Speaker\n","25 dark green [PERSON1]\n","26 If you put it up to a whole Meredith\n","27 I’m sorry, what’s the number name for dark green T\n","28 One Meredith and [PERSON1]\n","29 Ok. T\n","30 And you put six ones up to the dark green Meredith\n","31 Hold on, I’m a little confused. Tell me again.... T\n","32 One sixth Meredith\n","33 One sixth. T\n","34 And then these, this would be [PERSON1]"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["df = processor.merge_utterances_from_same_speaker(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We're going to directly replace the text in the text column.\n"," target_text_column=TEXT_COLUMN\n",")\n","\n","df.iloc[25:35]"]},{"cell_type":"markdown","metadata":{"id":"YoiLqghQL17Z"},"source":["We can see that the utterances from the same speaker are now grouped together!"]},{"cell_type":"markdown","metadata":{"id":"LNl0hUUTL17Z"},"source":["## 📝 Conclusion and Where to Go From Here\n","\n","In this tutorial, we learned how to use `TextPreprocessor` to:\n","1. Anonymize your data when you know the names of your students and educators.\n","2. Anonymize your data when you do _not_ know the names of your students and educators.\n","3. Standardize your data for downstream feature annotation.\n","\n","The next natural step is to annotate your data with features of interest. Here are some resources to get you started:\n","- [`edu-convokit`'s documentation on `Annotator`](https://edu-convokit.readthedocs.io/en/latest/annotation.html)\n","- [`edu-convokit`'s tutorial on `Annotator`](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw)\n","\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","👋 Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Xd9Gq3A0qKvI"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.5"}},"nbformat":4,"nbformat_minor":0}

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