1 00:00:01,274 --> 00:00:06,690 What is going to be the future of learning? 2 00:00:06,690 --> 00:00:08,970 I do have a plan, 3 00:00:08,970 --> 00:00:12,050 but in order for me to tell you what that plan is, 4 00:00:12,050 --> 00:00:15,020 I need to tell you a little story, 5 00:00:15,020 --> 00:00:17,866 which kind of sets the stage. 6 00:00:17,866 --> 00:00:19,653 I tried to look at 7 00:00:19,653 --> 00:00:23,060 where did the kind of learning we do in schools, 8 00:00:23,060 --> 00:00:25,330 where did it come from? 9 00:00:25,330 --> 00:00:27,762 And you can look far back into the past, 10 00:00:27,762 --> 00:00:31,575 but if you look at present-day schooling the way it is, 11 00:00:31,575 --> 00:00:35,277 it's quite easy to figure out where it came from. 12 00:00:35,277 --> 00:00:39,225 It came from about 300 years ago, 13 00:00:39,225 --> 00:00:41,442 and it came from the last 14 00:00:41,442 --> 00:00:44,410 and the biggest of the empires on this planet. ["The British Empire"] 15 00:00:44,410 --> 00:00:46,755 Imagine trying to run the show, 16 00:00:46,755 --> 00:00:49,163 trying to run the entire planet, 17 00:00:49,163 --> 00:00:52,987 without computers, without telephones, 18 00:00:52,987 --> 00:00:57,119 with data handwritten on pieces of paper, 19 00:00:57,119 --> 00:01:00,669 and traveling by ships. 20 00:01:00,669 --> 00:01:02,823 But the Victorians actually did it. 21 00:01:02,823 --> 00:01:05,991 What they did was amazing. 22 00:01:05,991 --> 00:01:09,303 They created a global computer 23 00:01:09,303 --> 00:01:12,359 made up of people. 24 00:01:12,359 --> 00:01:14,152 It's still with us today. 25 00:01:14,152 --> 00:01:20,131 It's called the bureaucratic administrative machine. 26 00:01:20,131 --> 00:01:23,458 In order to have that machine running, 27 00:01:23,458 --> 00:01:26,659 you need lots and lots of people. 28 00:01:26,659 --> 00:01:31,018 They made another machine to produce those people: 29 00:01:31,018 --> 00:01:33,914 the school. 30 00:01:33,914 --> 00:01:36,691 The schools would produce the people 31 00:01:36,691 --> 00:01:40,540 who would then become parts of the 32 00:01:40,540 --> 00:01:43,925 bureaucratic administrative machine. 33 00:01:43,925 --> 00:01:48,315 They must be identical to each other. 34 00:01:48,315 --> 00:01:50,472 They must know three things: 35 00:01:50,472 --> 00:01:53,512 They must have good handwriting, because the data is handwritten; 36 00:01:53,512 --> 00:01:55,667 they must be able to read; 37 00:01:55,667 --> 00:01:57,946 and they must be able to do multiplication, 38 00:01:57,946 --> 00:02:01,609 division, addition and subtraction in their head. 39 00:02:01,609 --> 00:02:05,136 They must be so identical that you could pick one up from New Zealand 40 00:02:05,136 --> 00:02:07,471 and ship them to Canada 41 00:02:07,471 --> 00:02:11,552 and he would be instantly functional. 42 00:02:11,552 --> 00:02:14,421 The Victorians were great engineers. 43 00:02:14,421 --> 00:02:17,910 They engineered a system that was so robust 44 00:02:17,910 --> 00:02:20,365 that it's still with us today, 45 00:02:20,365 --> 00:02:24,341 continuously producing identical people 46 00:02:24,341 --> 00:02:29,157 for a machine that no longer exists. 47 00:02:29,157 --> 00:02:32,085 The empire is gone, 48 00:02:32,085 --> 00:02:34,989 so what are we doing with that design 49 00:02:34,989 --> 00:02:37,358 that produces these identical people, 50 00:02:37,358 --> 00:02:40,261 and what are we going to do next 51 00:02:40,261 --> 00:02:44,181 if we ever are going to do anything else with it? 52 00:02:44,181 --> 00:02:45,871 ["Schools as we know them are obsolete"] 53 00:02:45,871 --> 00:02:47,763 So that's a pretty strong comment there. 54 00:02:47,763 --> 00:02:51,557 I said schools as we know them now, they're obsolete. 55 00:02:51,557 --> 00:02:53,291 I'm not saying they're broken. 56 00:02:53,291 --> 00:02:56,288 It's quite fashionable to say that the education system's broken. 57 00:02:56,288 --> 00:02:59,939 It's not broken. It's wonderfully constructed. 58 00:02:59,939 --> 00:03:06,165 It's just that we don't need it anymore. It's outdated. 59 00:03:06,165 --> 00:03:08,572 What are the kind of jobs that we have today? 60 00:03:08,572 --> 00:03:10,706 Well, the clerks are the computers. 61 00:03:10,706 --> 00:03:13,237 They're there in thousands in every office. 62 00:03:13,237 --> 00:03:16,442 And you have people who guide those computers 63 00:03:16,442 --> 00:03:18,919 to do their clerical jobs. 64 00:03:18,919 --> 00:03:22,183 Those people don't need to be able to write beautifully by hand. 65 00:03:22,183 --> 00:03:25,215 They don't need to be able to multiply numbers in their heads. 66 00:03:25,215 --> 00:03:27,487 They do need to be able to read. 67 00:03:27,487 --> 00:03:31,637 In fact, they need to be able to read discerningly. 68 00:03:31,637 --> 00:03:34,744 Well, that's today, but we don't even know 69 00:03:34,744 --> 00:03:37,303 what the jobs of the future are going to look like. 70 00:03:37,303 --> 00:03:39,947 We know that people will work from wherever they want, 71 00:03:39,947 --> 00:03:43,145 whenever they want, in whatever way they want. 72 00:03:43,145 --> 00:03:47,333 How is present-day schooling going to prepare them 73 00:03:47,333 --> 00:03:49,876 for that world? 74 00:03:49,876 --> 00:03:54,924 Well, I bumped into this whole thing completely by accident. 75 00:03:54,924 --> 00:03:57,556 I used to teach people how to write computer programs 76 00:03:57,556 --> 00:04:00,020 in New Delhi, 14 years ago. 77 00:04:00,020 --> 00:04:03,777 And right next to where I used to work, there was a slum. 78 00:04:03,777 --> 00:04:06,364 And I used to think, how on Earth are those kids 79 00:04:06,364 --> 00:04:08,884 ever going to learn to write computer programs? 80 00:04:08,884 --> 00:04:11,964 Or should they not? 81 00:04:11,964 --> 00:04:14,581 At the same time, we also had lots of parents, 82 00:04:14,581 --> 00:04:17,012 rich people, who had computers, 83 00:04:17,012 --> 00:04:20,143 and who used to tell me, "You know, my son, 84 00:04:20,143 --> 00:04:22,332 I think he's gifted, 85 00:04:22,332 --> 00:04:25,206 because he does wonderful things with computers. 86 00:04:25,206 --> 00:04:29,182 And my daughter -- oh, surely she is extra-intelligent." 87 00:04:29,182 --> 00:04:31,290 And so on. So I suddenly figured that, 88 00:04:31,290 --> 00:04:33,086 how come all the rich people are having 89 00:04:33,086 --> 00:04:35,227 these extraordinarily gifted children? 90 00:04:35,227 --> 00:04:37,142 (Laughter) 91 00:04:37,142 --> 00:04:39,966 What did the poor do wrong? 92 00:04:39,966 --> 00:04:42,969 I made a hole in the boundary wall 93 00:04:42,969 --> 00:04:45,001 of the slum next to my office, 94 00:04:45,001 --> 00:04:47,745 and stuck a computer inside it just to see what would happen 95 00:04:47,745 --> 00:04:50,729 if I gave a computer to children who never would have one, 96 00:04:50,729 --> 00:04:54,065 didn't know any English, didn't know what the Internet was. 97 00:04:54,065 --> 00:04:55,017 The children came running in. 98 00:04:55,017 --> 00:04:57,187 It was three feet off the ground, and they said, "What is this?" 99 00:04:57,187 --> 00:05:00,171 And I said, "Yeah, it's, I don't know." 100 00:05:00,171 --> 00:05:02,387 (Laughter) 101 00:05:02,387 --> 00:05:04,943 They said, "Why have you put it there?" 102 00:05:04,943 --> 00:05:06,158 I said, "Just like that." 103 00:05:06,158 --> 00:05:09,167 And they said, "Can we touch it?"I said, "If you wish to." 104 00:05:09,167 --> 00:05:11,544 And I went away. 105 00:05:11,544 --> 00:05:13,288 About eight hours later, 106 00:05:13,288 --> 00:05:16,243 we found them browsing and teaching each other how to browse. 107 00:05:16,243 --> 00:05:18,740 So I said, "Well that's impossible, because -- 108 00:05:18,740 --> 00:05:22,281 How is it possible? They don't know anything." 109 00:05:22,281 --> 00:05:25,145 My colleagues said, "No, it's a simple solution. 110 00:05:25,145 --> 00:05:27,968 One of your students must have been passing by, 111 00:05:27,968 --> 00:05:30,063 showed them how to use the mouse." 112 00:05:30,063 --> 00:05:31,586 So I said, "Yeah, that's possible." 113 00:05:31,586 --> 00:05:34,645 So I repeated the experiment. I went 300 miles out of Delhi 114 00:05:34,645 --> 00:05:36,636 into a really remote village 115 00:05:36,636 --> 00:05:40,428 where the chances of a passing software development engineer 116 00:05:40,428 --> 00:05:44,844 was very little. (Laughter) 117 00:05:44,844 --> 00:05:47,507 I repeated the experiment there. 118 00:05:47,507 --> 00:05:49,794 There was no place to stay, so I stuck my computer in, 119 00:05:49,794 --> 00:05:51,994 I went away, came back after a couple of months, 120 00:05:51,994 --> 00:05:53,689 found kids playing games on it. 121 00:05:53,689 --> 00:05:54,640 When they saw me, they said, 122 00:05:54,640 --> 00:05:57,122 "We want a faster processor and a better mouse." 123 00:05:57,122 --> 00:06:01,416 (Laughter) 124 00:06:01,416 --> 00:06:04,825 So I said, "How on Earth do you know all this?" 125 00:06:04,825 --> 00:06:07,280 And they said something very interesting to me. 126 00:06:07,280 --> 00:06:08,945 In an irritated voice, they said, 127 00:06:08,945 --> 00:06:11,498 "You've given us a machine that works only in English, 128 00:06:11,498 --> 00:06:17,583 so we had to teach ourselves English in order to use it." (Laughter) 129 00:06:17,583 --> 00:06:19,560 That's the first time, as a teacher, 130 00:06:19,560 --> 00:06:24,651 that I had heard the word "teach ourselves" said so casually. 131 00:06:24,651 --> 00:06:28,253 Here's a short glimpse from those years. 132 00:06:28,253 --> 00:06:30,900 That's the first day at the Hole in the Wall. 133 00:06:30,900 --> 00:06:33,138 On your right is an eight-year-old. 134 00:06:33,138 --> 00:06:38,858 To his left is his student. She's six. 135 00:06:38,858 --> 00:06:42,455 And he's teaching her how to browse. 136 00:06:42,455 --> 00:06:45,741 Then onto other parts of the country, 137 00:06:45,741 --> 00:06:48,024 I repeated this over and over again, 138 00:06:48,024 --> 00:06:51,469 getting exactly the same results that we were. 139 00:06:51,469 --> 00:06:55,396 ["Hole in the wall film - 1999"] 140 00:06:55,396 --> 00:06:59,661 An eight-year-old telling his elder sister what to do. 141 00:07:04,460 --> 00:07:10,017 And finally a girl explaining in Marathi what it is, 142 00:07:10,017 --> 00:07:14,266 and said, "There's a processor inside." 143 00:07:14,266 --> 00:07:16,759 So I started publishing. 144 00:07:16,759 --> 00:07:19,314 I published everywhere. I wrote down and measured everything, 145 00:07:19,314 --> 00:07:21,516 and I said, in nine months, a group of children 146 00:07:21,516 --> 00:07:24,214 left alone with a computer in any language 147 00:07:24,214 --> 00:07:28,729 will reach the same standard as an office secretary in the West. 148 00:07:28,729 --> 00:07:33,489 I'd seen it happen over and over and over again. 149 00:07:33,489 --> 00:07:36,221 But I was curious to know, what else would they do 150 00:07:36,221 --> 00:07:38,461 if they could do this much? 151 00:07:38,461 --> 00:07:40,989 I started experimenting with other subjects, 152 00:07:40,989 --> 00:07:43,957 among them, for example, pronunciation. 153 00:07:43,957 --> 00:07:46,405 There's one community of children in southern India 154 00:07:46,405 --> 00:07:49,173 whose English pronunciation is really bad, 155 00:07:49,173 --> 00:07:52,693 and they needed good pronunciation because that would improve their jobs. 156 00:07:52,693 --> 00:07:56,771 I gave them a speech-to-text engine in a computer, 157 00:07:56,771 --> 00:08:00,045 and I said, "Keep talking into it until it types what you say." 158 00:08:00,045 --> 00:08:04,677 (Laughter) 159 00:08:04,677 --> 00:08:09,861 They did that, and watch a little bit of this. 160 00:08:09,861 --> 00:08:15,373 Computer: Nice to meet you.Child: Nice to meet you. 161 00:08:15,373 --> 00:08:17,644 Sugata Mitra: The reason I ended with the face 162 00:08:17,644 --> 00:08:21,461 of this young lady over there is because I suspect many of you know her. 163 00:08:21,461 --> 00:08:24,957 She has now joined a call center in Hyderabad 164 00:08:24,957 --> 00:08:29,679 and may have tortured you about your credit card bills 165 00:08:29,679 --> 00:08:34,452 in a very clear English accent. 166 00:08:34,452 --> 00:08:38,829 So then people said, well, how far will it go? 167 00:08:38,829 --> 00:08:40,399 Where does it stop? 168 00:08:40,399 --> 00:08:43,762 I decided I would destroy my own argument 169 00:08:43,762 --> 00:08:46,266 by creating an absurd proposition. 170 00:08:46,266 --> 00:08:50,154 I made a hypothesis, a ridiculous hypothesis. 171 00:08:50,154 --> 00:08:51,958 Tamil is a south Indian language, and I said, 172 00:08:51,958 --> 00:08:54,603 can Tamil-speaking children in a south Indian village 173 00:08:54,603 --> 00:08:58,108 learn the biotechnology of DNA replication in English 174 00:08:58,108 --> 00:09:00,355 from a streetside computer? 175 00:09:00,355 --> 00:09:02,540 And I said, I'll measure them. They'll get a zero. 176 00:09:02,540 --> 00:09:05,594 I'll spend a couple of months, I'll leave it for a couple of months, 177 00:09:05,594 --> 00:09:07,898 I'll go back, they'll get another zero. 178 00:09:07,898 --> 00:09:12,254 I'll go back to the lab and say, we need teachers. 179 00:09:12,254 --> 00:09:16,317 I found a village. It was called Kallikuppam in southern India. 180 00:09:16,317 --> 00:09:18,994 I put in Hole in the Wall computers there, 181 00:09:18,994 --> 00:09:22,681 downloaded all kinds of stuff from the Internet about DNA replication, 182 00:09:22,681 --> 00:09:25,986 most of which I didn't understand. 183 00:09:25,986 --> 00:09:28,963 The children came rushing, said, "What's all this?" 184 00:09:28,963 --> 00:09:33,971 So I said, "It's very topical, very important. But it's all in English." 185 00:09:33,971 --> 00:09:37,325 So they said, "How can we understand such big English words 186 00:09:37,325 --> 00:09:39,403 and diagrams and chemistry?" 187 00:09:39,403 --> 00:09:42,227 So by now, I had developed a new pedagogical method, 188 00:09:42,227 --> 00:09:45,111 so I applied that. I said, "I haven't the foggiest idea." 189 00:09:45,111 --> 00:09:48,306 (Laughter) 190 00:09:48,306 --> 00:09:51,256 "And anyway, I am going away." 191 00:09:51,256 --> 00:09:55,624 (Laughter) 192 00:09:55,624 --> 00:09:59,213 So I left them for a couple of months. 193 00:09:59,213 --> 00:10:01,848 They'd got a zero. I gave them a test. 194 00:10:01,848 --> 00:10:02,772 I came back after two months 195 00:10:02,772 --> 00:10:06,432 and the children trooped in and said, "We've understood nothing." 196 00:10:06,432 --> 00:10:08,507 So I said, "Well, what did I expect?" 197 00:10:08,507 --> 00:10:12,592 So I said, "Okay, but how long did it take you 198 00:10:12,592 --> 00:10:15,353 before you decided that you can't understand anything?" 199 00:10:15,353 --> 00:10:17,301 So they said, "We haven't given up. 200 00:10:17,301 --> 00:10:19,277 We look at it every single day." 201 00:10:19,277 --> 00:10:21,742 So I said, "What? You don't understand these screens 202 00:10:21,742 --> 00:10:24,446 and you keep staring at it for two months? What for?" 203 00:10:24,446 --> 00:10:26,959 So a little girl who you see just now, 204 00:10:26,959 --> 00:10:29,691 she raised her hand, and she says to me in broken Tamil and English, 205 00:10:29,691 --> 00:10:31,888 she said, "Well, apart from the fact that 206 00:10:31,888 --> 00:10:35,039 improper replication of the DNA molecule causes disease, 207 00:10:35,039 --> 00:10:37,560 we haven't understood anything else." 208 00:10:37,560 --> 00:10:43,272 (Laughter) (Applause) 209 00:10:43,272 --> 00:10:47,392 So I tested them. 210 00:10:47,392 --> 00:10:50,664 I got an educational impossibility, zero to 30 percent 211 00:10:50,664 --> 00:10:52,968 in two months in the tropical heat 212 00:10:52,968 --> 00:10:56,408 with a computer under the tree in a language they didn't know 213 00:10:56,408 --> 00:10:59,480 doing something that's a decade ahead of their time. 214 00:10:59,480 --> 00:11:04,857 Absurd. But I had to follow the Victorian norm. 215 00:11:04,857 --> 00:11:08,257 Thirty percent is a fail. 216 00:11:08,257 --> 00:11:11,193 How do I get them to pass? I have to get them 20 more marks. 217 00:11:11,193 --> 00:11:16,030 I couldn't find a teacher. What I did find was a friend that they had, 218 00:11:16,030 --> 00:11:18,416 a 22-year-old girl who was an accountant 219 00:11:18,416 --> 00:11:20,864 and she played with them all the time. 220 00:11:20,864 --> 00:11:22,985 So I asked this girl, "Can you help them?" 221 00:11:22,985 --> 00:11:25,256 So she says, "Absolutely not. 222 00:11:25,256 --> 00:11:28,333 I didn't have science in school. I have no idea 223 00:11:28,333 --> 00:11:32,862 what they're doing under that tree all day long. I can't help you." 224 00:11:32,862 --> 00:11:37,393 I said, "I'll tell you what. Use the method of the grandmother." 225 00:11:37,393 --> 00:11:38,723 So she says, "What's that?" 226 00:11:38,723 --> 00:11:40,110 I said, "Stand behind them. 227 00:11:40,110 --> 00:11:41,716 Whenever they do anything, you just say, 228 00:11:41,732 --> 00:11:44,513 'Well, wow, I mean, how did you do that? 229 00:11:44,529 --> 00:11:47,625 What's the next page? Gosh, when I was your age, I could have never done that.' 230 00:11:47,625 --> 00:11:50,547 You know what grannies do." 231 00:11:50,547 --> 00:11:52,721 So she did that for two more months. 232 00:11:52,721 --> 00:11:55,635 The scores jumped to 50 percent. 233 00:11:55,635 --> 00:11:57,289 Kallikuppam had caught up 234 00:11:57,289 --> 00:11:59,167 with my control school in New Delhi, 235 00:11:59,167 --> 00:12:03,303 a rich private school with a trained biotechnology teacher. 236 00:12:03,303 --> 00:12:08,140 When I saw that graph I knew there is a way to level the playing field. 237 00:12:08,140 --> 00:12:10,236 Here's Kallikuppam. 238 00:12:10,236 --> 00:12:18,431 (Children speaking) Neurons ... communication. 239 00:12:18,431 --> 00:12:22,122 I got the camera angle wrong. That one is just amateur stuff, 240 00:12:22,122 --> 00:12:24,618 but what she was saying, as you could make out, 241 00:12:24,618 --> 00:12:27,025 was about neurons, with her hands were like that, 242 00:12:27,025 --> 00:12:30,581 and she was saying neurons communicate. 243 00:12:30,581 --> 00:12:33,925 At 12. 244 00:12:33,925 --> 00:12:37,135 So what are jobs going to be like? 245 00:12:37,135 --> 00:12:39,426 Well, we know what they're like today. 246 00:12:39,426 --> 00:12:41,764 What's learning going to be like? We know what it's like today, 247 00:12:41,764 --> 00:12:44,817 children pouring over with their mobile phones on the one hand 248 00:12:44,817 --> 00:12:48,590 and then reluctantly going to school to pick up their books with their other hand. 249 00:12:48,590 --> 00:12:52,549 What will it be tomorrow? 250 00:12:52,549 --> 00:12:57,449 Could it be that we don't need to go to school at all? 251 00:12:57,449 --> 00:13:00,989 Could it be that, at the point in time when you need to know something, 252 00:13:00,989 --> 00:13:04,309 you can find out in two minutes? 253 00:13:04,309 --> 00:13:08,414 Could it be -- a devastating question, 254 00:13:08,414 --> 00:13:11,206 a question that was framed for me by Nicholas Negroponte -- 255 00:13:11,206 --> 00:13:14,245 could it be that we are heading towards or maybe in 256 00:13:14,245 --> 00:13:17,605 a future where knowing is obsolete? 257 00:13:17,605 --> 00:13:20,138 But that's terrible. We are homo sapiens. 258 00:13:20,138 --> 00:13:24,055 Knowing, that's what distinguishes us from the apes. 259 00:13:24,055 --> 00:13:25,832 But look at it this way. 260 00:13:25,832 --> 00:13:28,378 It took nature 100 million years 261 00:13:28,378 --> 00:13:30,514 to make the ape stand up 262 00:13:30,514 --> 00:13:32,698 and become Homo sapiens. 263 00:13:32,698 --> 00:13:36,394 It took us only 10,000 to make knowing obsolete. 264 00:13:36,394 --> 00:13:38,576 What an achievement that is. 265 00:13:38,576 --> 00:13:42,603 But we have to integrate that into our own future. 266 00:13:42,603 --> 00:13:45,562 Encouragement seems to be the key. 267 00:13:45,562 --> 00:13:46,772 If you look at Kuppam, 268 00:13:46,772 --> 00:13:49,586 if you look at all of the experiments that I did, 269 00:13:49,586 --> 00:13:56,721 it was simply saying, "Wow," saluting learning. 270 00:13:56,721 --> 00:13:59,115 There is evidence from neuroscience. 271 00:13:59,115 --> 00:14:02,317 The reptilian part of our brain, which sits in the center of our brain, 272 00:14:02,317 --> 00:14:06,053 when it's threatened, it shuts down everything else, 273 00:14:06,053 --> 00:14:09,731 it shuts down the prefrontal cortex, the parts which learn, 274 00:14:09,731 --> 00:14:12,475 it shuts all of that down. 275 00:14:12,475 --> 00:14:16,623 Punishment and examinations are seen as threats. 276 00:14:16,623 --> 00:14:20,248 We take our children, we make them shut their brains down, 277 00:14:20,248 --> 00:14:22,944 and then we say, "Perform." 278 00:14:22,944 --> 00:14:26,425 Why did they create a system like that? 279 00:14:26,425 --> 00:14:28,071 Because it was needed. 280 00:14:28,071 --> 00:14:30,656 There was an age in the Age of Empires 281 00:14:30,656 --> 00:14:34,926 when you needed those people who can survive under threat. 282 00:14:34,926 --> 00:14:37,193 When you're standing in a trench all alone, 283 00:14:37,193 --> 00:14:41,224 if you could have survived, you're okay, you've passed. 284 00:14:41,224 --> 00:14:44,197 If you didn't, you failed. 285 00:14:44,197 --> 00:14:46,853 But the Age of Empires is gone. 286 00:14:46,853 --> 00:14:50,491 What happens to creativity in our age? 287 00:14:50,491 --> 00:14:53,506 We need to shift that balance back 288 00:14:53,506 --> 00:14:56,915 from threat to pleasure. 289 00:14:56,915 --> 00:15:00,867 I came back to England looking for British grandmothers. 290 00:15:00,867 --> 00:15:03,884 I put out notices in papers saying, 291 00:15:03,884 --> 00:15:07,304 if you are a British grandmother, if you have broadband and a web camera, 292 00:15:07,304 --> 00:15:10,531 can you give me one hour of your time per week for free? 293 00:15:10,531 --> 00:15:12,643 I got 200 in the first two weeks. 294 00:15:12,643 --> 00:15:17,551 I know more British grandmothers than anyone in the universe. (Laughter) 295 00:15:17,551 --> 00:15:21,366 They're called the Granny Cloud. 296 00:15:21,366 --> 00:15:23,096 The Granny Cloud sits on the Internet. 297 00:15:23,096 --> 00:15:27,470 If there's a child in trouble, we beam a Gran. 298 00:15:27,470 --> 00:15:31,039 She goes on over Skype and she sorts things out. 299 00:15:31,039 --> 00:15:34,658 I've seen them do it from a village called Diggles 300 00:15:34,658 --> 00:15:36,703 in northwestern England, 301 00:15:36,703 --> 00:15:40,007 deep inside a village in Tamil Nadu, India, 302 00:15:40,007 --> 00:15:42,247 6,000 miles away. 303 00:15:42,247 --> 00:15:45,823 She does it with only one age-old gesture. 304 00:15:45,823 --> 00:15:47,538 "Shhh." 305 00:15:47,538 --> 00:15:50,263 Okay? 306 00:15:50,263 --> 00:15:51,799 Watch this. 307 00:15:51,799 --> 00:15:56,055 Grandmother: You can't catch me. You say it. 308 00:15:56,055 --> 00:15:59,823 You can't catch me. 309 00:15:59,823 --> 00:16:02,791 Children: You can't catch me. 310 00:16:02,791 --> 00:16:08,373 Grandmother: I'm the Gingerbread Man.Children: I'm the Gingerbread Man. 311 00:16:08,373 --> 00:16:12,963 Grandmother: Well done! Very good. 312 00:16:12,963 --> 00:16:15,421 SM: So what's happening here? 313 00:16:15,421 --> 00:16:17,265 I think what we need to look at is 314 00:16:17,265 --> 00:16:19,646 we need to look at learning 315 00:16:19,646 --> 00:16:24,234 as the product of educational self-organization. 316 00:16:24,234 --> 00:16:27,079 If you allow the educational process to self-organize, 317 00:16:27,079 --> 00:16:29,570 then learning emerges. 318 00:16:29,570 --> 00:16:31,963 It's not about making learning happen. 319 00:16:31,963 --> 00:16:34,179 It's about letting it happen. 320 00:16:34,179 --> 00:16:37,452 The teacher sets the process in motion 321 00:16:37,452 --> 00:16:40,171 and then she stands back in awe 322 00:16:40,171 --> 00:16:42,539 and watches as learning happens. 323 00:16:42,539 --> 00:16:45,492 I think that's what all this is pointing at. 324 00:16:45,492 --> 00:16:48,244 But how will we know? How will we come to know? 325 00:16:48,244 --> 00:16:49,919 Well, I intend to build 326 00:16:49,919 --> 00:16:53,220 these Self-Organized Learning Environments. 327 00:16:53,220 --> 00:16:56,905 They are basically broadband, collaboration 328 00:16:56,905 --> 00:16:59,298 and encouragement put together. 329 00:16:59,298 --> 00:17:01,004 I've tried this in many, many schools. 330 00:17:01,004 --> 00:17:03,539 It's been tried all over the world, and teachers 331 00:17:03,539 --> 00:17:07,165 sort of stand back and say, "It just happens by itself?" 332 00:17:07,165 --> 00:17:10,282 And I said, "Yeah, it happens by itself.""How did you know that?" 333 00:17:10,282 --> 00:17:13,775 I said, "You won't believe the children who told me 334 00:17:13,775 --> 00:17:16,703 and where they're from." 335 00:17:16,703 --> 00:17:19,447 Here's a SOLE in action. 336 00:17:19,447 --> 00:17:25,556 (Children talking) 337 00:17:25,556 --> 00:17:31,845 This one is in England. 338 00:17:31,845 --> 00:17:35,611 He maintains law and order, 339 00:17:35,611 --> 00:17:44,126 because remember, there's no teacher around. 340 00:17:46,096 --> 00:17:49,999 Girl: The total number of electrons is not equal to the total number of protons -- SM: Australia 341 00:17:49,999 --> 00:17:56,734 Girl: -- giving it a net positive or negative electrical charge. 342 00:17:56,734 --> 00:18:00,318 The net charge on an ion is equal to the number of protons 343 00:18:00,318 --> 00:18:03,611 in the ion minus the number of electrons. 344 00:18:03,611 --> 00:18:06,660 SM: A decade ahead of her time. 345 00:18:06,660 --> 00:18:10,263 So SOLEs, I think we need a curriculum of big questions. 346 00:18:10,263 --> 00:18:12,469 You already heard about that. You know what that means. 347 00:18:12,469 --> 00:18:15,870 There was a time when Stone Age men and women 348 00:18:15,870 --> 00:18:17,974 used to sit and look up at the sky and say, 349 00:18:17,974 --> 00:18:20,453 "What are those twinkling lights?" 350 00:18:20,453 --> 00:18:25,247 They built the first curriculum, but we've lost sight of those wondrous questions. 351 00:18:25,247 --> 00:18:29,377 We've brought it down to the tangent of an angle. 352 00:18:29,377 --> 00:18:33,085 But that's not sexy enough. 353 00:18:33,085 --> 00:18:36,046 The way you would put it to a nine-year-old is to say, 354 00:18:36,046 --> 00:18:39,199 "If a meteorite was coming to hit the Earth, 355 00:18:39,199 --> 00:18:42,597 how would you figure out if it was going to or not?" 356 00:18:42,597 --> 00:18:45,157 And if he says, "Well, what? how?" 357 00:18:45,157 --> 00:18:48,142 you say, "There's a magic word. It's called the tangent of an angle," 358 00:18:48,142 --> 00:18:51,013 and leave him alone. He'll figure it out. 359 00:18:51,013 --> 00:18:55,471 So here are a couple of images from SOLEs. 360 00:18:55,471 --> 00:19:01,060 I've tried incredible, incredible questions -- 361 00:19:01,060 --> 00:19:05,348 "When did the world begin? How will it end?" — 362 00:19:05,348 --> 00:19:07,293 to nine-year-olds. 363 00:19:07,293 --> 00:19:10,269 This one is about what happens to the air we breathe. 364 00:19:10,269 --> 00:19:15,227 This is done by children without the help of any teacher. 365 00:19:15,227 --> 00:19:17,611 The teacher only raises the question, 366 00:19:17,611 --> 00:19:21,275 and then stands back and admires the answer. 367 00:19:21,275 --> 00:19:25,011 So what's my wish? 368 00:19:25,011 --> 00:19:27,227 My wish is 369 00:19:27,227 --> 00:19:31,541 that we design the future of learning. 370 00:19:31,541 --> 00:19:33,507 We don't want to be spare parts 371 00:19:33,507 --> 00:19:35,899 for a great human computer, do we? 372 00:19:35,899 --> 00:19:39,555 So we need to design a future for learning. 373 00:19:39,555 --> 00:19:41,191 And I've got to -- hang on, 374 00:19:41,191 --> 00:19:43,891 I've got to get this wording exactly right, 375 00:19:43,891 --> 00:19:46,535 because, you know, it's very important. 376 00:19:46,535 --> 00:19:48,851 My wish is to help design a future of learning 377 00:19:48,851 --> 00:19:51,085 by supporting children all over the world 378 00:19:51,085 --> 00:19:54,131 to tap into their wonder and their ability to work together. 379 00:19:54,131 --> 00:19:56,363 Help me build this school. 380 00:19:56,363 --> 00:19:59,699 It will be called the School in the Cloud. 381 00:19:59,699 --> 00:20:04,772 It will be a school where children go on these intellectual adventures 382 00:20:04,772 --> 00:20:08,629 driven by the big questions which their mediators put in. 383 00:20:08,629 --> 00:20:10,900 The way I want to do this 384 00:20:10,900 --> 00:20:15,260 is to build a facility where I can study this. 385 00:20:15,260 --> 00:20:18,060 It's a facility which is practically unmanned. 386 00:20:18,060 --> 00:20:19,827 There's only one granny 387 00:20:19,827 --> 00:20:22,268 who manages health and safety. 388 00:20:22,268 --> 00:20:23,701 The rest of it's from the cloud. 389 00:20:23,701 --> 00:20:25,616 The lights are turned on and off by the cloud, 390 00:20:25,616 --> 00:20:27,644 etc., etc., everything's done from the cloud. 391 00:20:27,644 --> 00:20:30,869 But I want you for another purpose. 392 00:20:30,869 --> 00:20:33,628 You can do Self-Organized Learning Environments 393 00:20:33,628 --> 00:20:38,644 at home, in the school, outside of school, in clubs. 394 00:20:38,644 --> 00:20:40,772 It's very easy to do. There's a great document 395 00:20:40,772 --> 00:20:42,660 produced by TED which tells you how to do it. 396 00:20:42,660 --> 00:20:46,036 If you would please, please do it 397 00:20:46,036 --> 00:20:48,401 across all five continents 398 00:20:48,401 --> 00:20:50,612 and send me the data, 399 00:20:50,612 --> 00:20:54,116 then I'll put it all together, move it into the School of Clouds, 400 00:20:54,116 --> 00:20:57,380 and create the future of learning. 401 00:20:57,380 --> 00:20:59,172 That's my wish. 402 00:20:59,172 --> 00:21:00,595 And just one last thing. 403 00:21:00,595 --> 00:21:03,188 I'll take you to the top of the Himalayas. 404 00:21:03,188 --> 00:21:06,491 At 12,000 feet, where the air is thin, 405 00:21:06,491 --> 00:21:09,476 I once built two Hole in the Wall computers, 406 00:21:09,476 --> 00:21:10,931 and the children flocked there. 407 00:21:10,931 --> 00:21:13,828 And there was this little girl who was following me around. 408 00:21:13,828 --> 00:21:18,544 And I said to her, "You know, I want to give a computer to everybody, every child. 409 00:21:18,544 --> 00:21:20,945 I don't know, what should I do?" 410 00:21:20,945 --> 00:21:24,976 And I was trying to take a picture of her quietly. 411 00:21:24,976 --> 00:21:29,032 She suddenly raised her hand like this, and said to me, 412 00:21:29,032 --> 00:21:30,921 "Get on with it." 413 00:21:30,921 --> 00:21:42,785 (Laughter) (Applause) 414 00:21:42,785 --> 00:21:44,646 I think it was good advice. 415 00:21:44,646 --> 00:21:46,714 I'll follow her advice. I'll stop talking. 416 00:21:46,714 --> 00:21:50,704 Thank you. Thank you very much. 417 00:21:50,704 --> 00:21:54,455 (Applause) 418 00:21:54,455 --> 00:22:02,779 Thank you. Thank you. (Applause) 419 00:22:02,779 --> 00:22:09,194 Thank you very much. Wow. (Applause)