We move on to how these speakers are using data in their presentations. So why don't we start from this speech by Salman Khan. >> So the hypotenuse is now going to be five. This animal's fossils are only found in this area of South America a nice clean band here, and this part of Africa. We can integrate over the surface and the notation usually is a capital sigma. National Assembly, they create the Committee of Public Safety, which sounds like a very nice committee. Notice, this is an aldehyde, and it's an alcohol. Start differentiating into effector and memory cells. A galaxy. Hey, there's another galaxy. Look there's another galaxy and for dollars, is their 30 million plus the 20 million dollars from the American manufacturer. If this does not blow your mind, then you have no emotion. >> [LAUGH] Okay, I don't know if you got the humor Actually, it's starting from talking like a, in about seven or eight topics at the same time and using some background, some pictures, and some data, you see? [COUGH], Well I would like to ask you guys to appreciate this again. [FOREIGN] >> So the hypotenuse is now going to be five. This animal's fossils are only found in this area of South America, a nice clean band here. And this part of Africa. We could integrate over the surface, and the notation usually is a capital sigma. National Assembly, they create the Committee of Public Safety, which sounds like a very nice committee. Notice, this is an aldehyde, and it's an alcohol. Start differentiating into effector and memory cells. A galaxy. Hey, there's another galaxy. Look there's another galaxy. And for dollars, is their 30 million, plus the 20 million dollars from the American manufacturer. If this does not blow your mind, then you have no emotion. >> Okay, actually, he is trying to blow your mind. [FOREIGN] So hypotenuse is now going to be five. And this animal's fossils are only found in this area of South Africa. [FOREIGN] [FOREIGN] And this part of Africa. And we integrate over the surface. And the notation is usually capital sigma. [FOREIGN]. National Assembly. [FOREIGN] They created the Committee of Public Safety, which sounds like a very nice committee. [FOREIGN] Notice this is an aldehyde, aldehyde [FOREIGN]. [FOREIGN] Well, start differentiating into effector and memory cells. A galaxy. [FOREIGN] Here, is another galaxy, look but there's another galaxy. And for dollars [FOREIGN] dollars is their 30 million plus the 20 million dollars from the American manufacturer. If this does not blow your mind then you have no emotion. [FOREIGN] [FOREIGN] Okay. So this is the humor he brought in the beginning of this piece. But actually, it is a good hint at how a skilled presenter is using data to tell things. Now lets look at something more serious. >> Now I kind of come from a very data-centric reality, so we don't want that teacher to even go and intervene and have to ask the kid awkward questions. What do you not understand? o\Or what do you do understand? And all the rest. So our paradigm is to really arm the teachers with as much data as possible. Really data that, in almost any other field is expected, if you're in finance of marketing or manufacturing. And so the teachers can actually diagnose what's wrong with the students so that they can make their interaction as productive as possible. So now the teachers know exactly what the students have been up to, how long they have been spending every day, what videos have they been watching. When did they pause the videos, what did the stop watching? What exercises are the using? What have they been focused on? The outer circle shows what exercises they were focused on. The inner circle shows the videos they're focused on. And the data gets pretty granular, so you can actually see the exact problems that the student got right or wrong. Red is wrong, blue is right. The leftmost question is the first question that the student attempted. They watched the video right over there. And then you can see, eventually, they were able to get ten in a row. >> Okay. [FOREIGN] He's talking super fast, right? [FOREIGN] [FOREIGN] Time limit. [FOREIGN] [FOREIGN] Right. [FOREIGN] But the good news is that we are in the period to do some preparations, right? [FOREIGN] [FOREIGN] [FOREIGN] [FOREIGN] So now I come from a very data-centric reality. [FOREIGN] So we don't want that teacher to even go and intervene and have to ask the case awkward questions. [FOREIGN] What do you not understand? [FOREIGN]. Or paradigm is to really arm the teachers with as much data as possible. Really data. [FOREIGN] These are awkward questions. [FOREIGN] [COUGH] In almost any other field, is expected, if you're in finance or marketing or manufacturing. [FOREIGN] Teachers can actually diagnose what's wrong with the students. [FOREIGN] So they can make their interaction as productive as possible. [FOREIGN] So now the teachers know exactly what a student has been up too. [FOREIGN] How long they have been spending everyday. [FOREIGN] What videos, what videos have they been watching? [FOREIGN] So when they pause the video. [FOREIGN] What did they stop watching? [FOREIGN] What exercises are they using? [FOREIGN] What have they been focused one? [FOREIGN] So the outer circle, [FOREIGN]. The outer circle shows that exercises they were focused on. [FOREIGN] The inner circle shows the videos that they are focused on. [FOREIGN] So they were focused on, but they are. [FOREIGN] And the data gets pretty granular, so you can see the exact problem that the student got right or wrong. [FOREIGN] Red is wrong, blue is right. [FOREIGN] Red is wrong, blue is right.. The leftmost question is the first question that a student attempted. [FOREIGN] They watched the video right over there. [FOREIGN] And then you can see eventually, they were able to get ten in a row. Ten in a row. [FOREIGN]. Okay, what we learned here. [FOREIGN] A factor of communication. [FOREIGN] Outer circle. [FOREIGN]
