1 00:00:02,000 --> 00:00:04,000 Well, that's kind of an obvious statement up there. 2 00:00:04,000 --> 00:00:07,000 I started with that sentence about 12 years ago, 3 00:00:07,000 --> 00:00:10,000 and I started in the context 4 00:00:10,000 --> 00:00:12,000 of developing countries, 5 00:00:12,000 --> 00:00:15,000 but you're sitting here from every corner of the world. 6 00:00:15,000 --> 00:00:18,000 So if you think of a map of your country, 7 00:00:18,000 --> 00:00:20,000 I think you'll realize 8 00:00:20,000 --> 00:00:22,000 that for every country on Earth, 9 00:00:22,000 --> 00:00:24,000 you could draw little circles to say, 10 00:00:24,000 --> 00:00:27,000 "These are places where good teachers won't go." 11 00:00:28,000 --> 00:00:30,000 On top of that, 12 00:00:30,000 --> 00:00:33,000 those are the places from where trouble comes. 13 00:00:33,000 --> 00:00:35,000 So we have an ironic problem -- 14 00:00:35,000 --> 00:00:37,000 good teachers don't want to go 15 00:00:37,000 --> 00:00:40,000 to just those places where they're needed the most. 16 00:00:40,000 --> 00:00:43,000 I started in 1999 17 00:00:43,000 --> 00:00:46,000 to try and address this problem with an experiment, 18 00:00:46,000 --> 00:00:49,000 which was a very simple experiment in New Delhi. 19 00:00:51,000 --> 00:00:54,000 I basically embedded a computer 20 00:00:54,000 --> 00:00:57,000 into a wall of a slum in New Delhi. 21 00:00:58,000 --> 00:01:01,000 The children barely went to school, they didn't know any English -- 22 00:01:01,000 --> 00:01:03,000 they'd never seen a computer before, 23 00:01:03,000 --> 00:01:06,000 and they didn't know what the internet was. 24 00:01:06,000 --> 00:01:09,000 I connected high speed internet to it -- it's about three feet off the ground -- 25 00:01:09,000 --> 00:01:11,000 turned it on and left it there. 26 00:01:11,000 --> 00:01:13,000 After this, 27 00:01:13,000 --> 00:01:16,000 we noticed a couple of interesting things, which you'll see. 28 00:01:16,000 --> 00:01:19,000 But I repeated this all over India 29 00:01:19,000 --> 00:01:21,000 and then through 30 00:01:21,000 --> 00:01:23,000 a large part of the world 31 00:01:23,000 --> 00:01:25,000 and noticed 32 00:01:25,000 --> 00:01:27,000 that children will learn to do 33 00:01:27,000 --> 00:01:30,000 what they want to learn to do. 34 00:01:30,000 --> 00:01:32,000 This is the first experiment that we did -- 35 00:01:32,000 --> 00:01:34,000 eight year-old boy on your right 36 00:01:34,000 --> 00:01:37,000 teaching his student, a six year-old girl, 37 00:01:37,000 --> 00:01:40,000 and he was teaching her how to browse. 38 00:01:41,000 --> 00:01:44,000 This boy here in the middle of central India -- 39 00:01:45,000 --> 00:01:47,000 this is in a Rajasthan village, 40 00:01:47,000 --> 00:01:50,000 where the children recorded their own music 41 00:01:50,000 --> 00:01:53,000 and then played it back to each other 42 00:01:53,000 --> 00:01:55,000 and in the process, 43 00:01:55,000 --> 00:01:57,000 they've enjoyed themselves thoroughly. 44 00:01:57,000 --> 00:01:59,000 They did all of this in four hours 45 00:01:59,000 --> 00:02:02,000 after seeing the computer for the first time. 46 00:02:02,000 --> 00:02:05,000 In another South Indian village, 47 00:02:05,000 --> 00:02:07,000 these boys here 48 00:02:07,000 --> 00:02:09,000 had assembled a video camera 49 00:02:09,000 --> 00:02:11,000 and were trying to take the photograph of a bumble bee. 50 00:02:11,000 --> 00:02:13,000 They downloaded it from Disney.com, 51 00:02:13,000 --> 00:02:15,000 or one of these websites, 52 00:02:15,000 --> 00:02:18,000 14 days after putting the computer in their village. 53 00:02:21,000 --> 00:02:23,000 So at the end of it, 54 00:02:23,000 --> 00:02:25,000 we concluded that groups of children 55 00:02:25,000 --> 00:02:28,000 can learn to use computers and the internet on their own, 56 00:02:28,000 --> 00:02:30,000 irrespective of who 57 00:02:30,000 --> 00:02:33,000 or where they were. 58 00:02:33,000 --> 00:02:36,000 At that point, I became a little more ambitious 59 00:02:36,000 --> 00:02:39,000 and decided to see 60 00:02:39,000 --> 00:02:42,000 what else could children do with a computer. 61 00:02:42,000 --> 00:02:45,000 We started off with an experiment in Hyderabad, India, 62 00:02:45,000 --> 00:02:48,000 where I gave a group of children -- 63 00:02:48,000 --> 00:02:51,000 they spoke English with a very strong Telugu accent. 64 00:02:51,000 --> 00:02:53,000 I gave them a computer 65 00:02:53,000 --> 00:02:55,000 with a speech-to-text interface, 66 00:02:55,000 --> 00:02:58,000 which you now get free with Windows, 67 00:02:58,000 --> 00:03:00,000 and asked them to speak into it. 68 00:03:00,000 --> 00:03:02,000 So when they spoke into it, 69 00:03:02,000 --> 00:03:04,000 the computer typed out gibberish, 70 00:03:04,000 --> 00:03:06,000 so they said, "Well, it doesn't understand anything of what we are saying." 71 00:03:06,000 --> 00:03:08,000 So I said, "Yeah, I'll leave it here for two months. 72 00:03:08,000 --> 00:03:10,000 Make yourself understood 73 00:03:10,000 --> 00:03:12,000 to the computer." 74 00:03:12,000 --> 00:03:14,000 So the children said, "How do we do that." 75 00:03:14,000 --> 00:03:16,000 And I said, 76 00:03:16,000 --> 00:03:18,000 "I don't know, actually." 77 00:03:18,000 --> 00:03:20,000 (Laughter) 78 00:03:20,000 --> 00:03:22,000 And I left. 79 00:03:22,000 --> 00:03:24,000 (Laughter) 80 00:03:25,000 --> 00:03:27,000 Two months later -- 81 00:03:27,000 --> 00:03:29,000 and this is now documented 82 00:03:29,000 --> 00:03:31,000 in the Information Technology 83 00:03:31,000 --> 00:03:33,000 for International Development journal -- 84 00:03:33,000 --> 00:03:35,000 that accents had changed 85 00:03:35,000 --> 00:03:38,000 and were remarkably close to the neutral British accent 86 00:03:38,000 --> 00:03:41,000 in which I had trained the speech-to-text synthesizer. 87 00:03:41,000 --> 00:03:44,000 In other words, they were all speaking like James Tooley. 88 00:03:44,000 --> 00:03:46,000 (Laughter) 89 00:03:46,000 --> 00:03:48,000 So they could do that on their own. 90 00:03:48,000 --> 00:03:50,000 After that, I started to experiment 91 00:03:50,000 --> 00:03:52,000 with various other things 92 00:03:52,000 --> 00:03:54,000 that they might learn to do on their own. 93 00:03:54,000 --> 00:03:57,000 I got an interesting phone call once from Columbo, 94 00:03:57,000 --> 00:03:59,000 from the late Arthur C. Clarke, 95 00:03:59,000 --> 00:04:01,000 who said, "I want to see what's going on." 96 00:04:01,000 --> 00:04:04,000 And he couldn't travel, so I went over there. 97 00:04:04,000 --> 00:04:06,000 He said two interesting things, 98 00:04:06,000 --> 00:04:11,000 "A teacher that can be replaced by a machine should be." 99 00:04:11,000 --> 00:04:13,000 (Laughter) 100 00:04:13,000 --> 00:04:15,000 The second thing he said was that, 101 00:04:15,000 --> 00:04:17,000 "If children have interest, 102 00:04:17,000 --> 00:04:20,000 then education happens." 103 00:04:20,000 --> 00:04:22,000 And I was doing that in the field, 104 00:04:22,000 --> 00:04:24,000 so every time I would watch it and think of him. 105 00:04:24,000 --> 00:04:27,000 (Video) Arthur C. Clarke: And they can definitely 106 00:04:27,000 --> 00:04:29,000 help people, 107 00:04:29,000 --> 00:04:31,000 because children quickly learn to navigate 108 00:04:31,000 --> 00:04:34,000 the web and find things which interest them. 109 00:04:34,000 --> 00:04:37,000 And when you've got interest, then you have education. 110 00:04:37,000 --> 00:04:40,000 Sugata Mitra: I took the experiment to South Africa. 111 00:04:40,000 --> 00:04:42,000 This is a 15 year-old boy. 112 00:04:42,000 --> 00:04:45,000 (Video) Boy: ... just mention, I play games 113 00:04:45,000 --> 00:04:48,000 like animals, 114 00:04:48,000 --> 00:04:51,000 and I listen to music. 115 00:04:51,000 --> 00:04:53,000 SM: And I asked him, "Do you send emails?" 116 00:04:53,000 --> 00:04:56,000 And he said, "Yes, and they hop across the ocean." 117 00:04:57,000 --> 00:04:59,000 This is in Cambodia, 118 00:04:59,000 --> 00:05:02,000 rural Cambodia -- 119 00:05:02,000 --> 00:05:05,000 a fairly silly arithmetic game, 120 00:05:05,000 --> 00:05:07,000 which no child would play inside the classroom or at home. 121 00:05:07,000 --> 00:05:09,000 They would, you know, throw it back at you. 122 00:05:09,000 --> 00:05:11,000 They'd say, "This is very boring." 123 00:05:11,000 --> 00:05:13,000 If you leave it on the pavement 124 00:05:13,000 --> 00:05:15,000 and if all the adults go away, 125 00:05:15,000 --> 00:05:17,000 then they will show off with each other 126 00:05:17,000 --> 00:05:19,000 about what they can do. 127 00:05:19,000 --> 00:05:21,000 This is what these children are doing. 128 00:05:21,000 --> 00:05:24,000 They are trying to multiply, I think. 129 00:05:24,000 --> 00:05:26,000 And all over India, 130 00:05:26,000 --> 00:05:28,000 at the end of about two years, 131 00:05:28,000 --> 00:05:31,000 children were beginning to Google their homework. 132 00:05:31,000 --> 00:05:33,000 As a result, the teachers reported 133 00:05:33,000 --> 00:05:35,000 tremendous improvements in their English -- 134 00:05:35,000 --> 00:05:39,000 (Laughter) 135 00:05:39,000 --> 00:05:41,000 rapid improvement and all sorts of things. 136 00:05:41,000 --> 00:05:44,000 They said, "They have become really deep thinkers and so on and so forth. 137 00:05:44,000 --> 00:05:47,000 (Laughter) 138 00:05:47,000 --> 00:05:49,000 And indeed they had. 139 00:05:49,000 --> 00:05:51,000 I mean, if there's stuff on Google, 140 00:05:51,000 --> 00:05:54,000 why would you need to stuff it into your head? 141 00:05:55,000 --> 00:05:57,000 So at the end of the next four years, 142 00:05:57,000 --> 00:06:00,000 I decided that groups of children can navigate the internet 143 00:06:00,000 --> 00:06:03,000 to achieve educational objectives on their own. 144 00:06:03,000 --> 00:06:05,000 At that time, a large amount of money 145 00:06:05,000 --> 00:06:07,000 had come into Newcastle University 146 00:06:07,000 --> 00:06:10,000 to improve schooling in India. 147 00:06:10,000 --> 00:06:13,000 So Newcastle gave me a call. I said, "I'll do it from Delhi." 148 00:06:13,000 --> 00:06:15,000 They said, "There's no way you're going to handle 149 00:06:15,000 --> 00:06:18,000 a million pounds-worth of University money 150 00:06:18,000 --> 00:06:20,000 sitting in Delhi." 151 00:06:20,000 --> 00:06:22,000 So in 2006, 152 00:06:22,000 --> 00:06:24,000 I bought myself a heavy overcoat 153 00:06:24,000 --> 00:06:26,000 and moved to Newcastle. 154 00:06:27,000 --> 00:06:29,000 I wanted to test the limits 155 00:06:29,000 --> 00:06:31,000 of the system. 156 00:06:31,000 --> 00:06:33,000 The first experiment I did out of Newcastle 157 00:06:33,000 --> 00:06:35,000 was actually done in India. 158 00:06:35,000 --> 00:06:38,000 And I set myself and impossible target: 159 00:06:38,000 --> 00:06:41,000 can Tamil speaking 160 00:06:41,000 --> 00:06:43,000 12-year-old children 161 00:06:43,000 --> 00:06:46,000 in a South Indian village 162 00:06:46,000 --> 00:06:48,000 teach themselves biotechnology 163 00:06:48,000 --> 00:06:50,000 in English on their own? 164 00:06:50,000 --> 00:06:53,000 And I thought, I'll test them, they'll get a zero -- 165 00:06:53,000 --> 00:06:55,000 I'll give the materials, I'll come back and test them -- 166 00:06:55,000 --> 00:06:57,000 they get another zero, 167 00:06:57,000 --> 00:07:01,000 I'll go back and say, "Yes, we need teachers for certain things." 168 00:07:01,000 --> 00:07:03,000 I called in 26 children. 169 00:07:03,000 --> 00:07:05,000 They all came in there, and I told them 170 00:07:05,000 --> 00:07:07,000 that there's some really difficult stuff on this computer. 171 00:07:07,000 --> 00:07:10,000 I wouldn't be surprised if you didn't understand anything. 172 00:07:10,000 --> 00:07:13,000 It's all in English, and I'm going. 173 00:07:13,000 --> 00:07:15,000 (Laughter) 174 00:07:15,000 --> 00:07:17,000 So I left them with it. 175 00:07:17,000 --> 00:07:19,000 I came back after two months, 176 00:07:19,000 --> 00:07:21,000 and the 26 children marched in looking very, very quiet. 177 00:07:21,000 --> 00:07:24,000 I said, "Well, did you look at any of the stuff?" 178 00:07:24,000 --> 00:07:26,000 They said, "Yes, we did." 179 00:07:26,000 --> 00:07:29,000 "Did you understand anything?" "No, nothing." 180 00:07:29,000 --> 00:07:31,000 So I said, 181 00:07:31,000 --> 00:07:33,000 "Well, how long did you practice on it 182 00:07:33,000 --> 00:07:35,000 before you decided you understood nothing?" 183 00:07:35,000 --> 00:07:38,000 They said, "We look at it every day." 184 00:07:38,000 --> 00:07:40,000 So I said, "For two months, you were looking at stuff you didn't understand?" 185 00:07:40,000 --> 00:07:42,000 So a 12 year-old girl raises her hand and says, 186 00:07:42,000 --> 00:07:44,000 literally, 187 00:07:45,000 --> 00:07:48,000 "Apart from the fact that improper replication of the DNA molecule 188 00:07:48,000 --> 00:07:50,000 causes genetic disease, 189 00:07:50,000 --> 00:07:52,000 we've understood nothing else." 190 00:07:52,000 --> 00:07:54,000 (Laughter) 191 00:07:54,000 --> 00:08:01,000 (Applause) 192 00:08:01,000 --> 00:08:04,000 (Laughter) 193 00:08:04,000 --> 00:08:06,000 It took me three years to publish that. 194 00:08:06,000 --> 00:08:09,000 It's just been published in the British Journal of Educational Technology. 195 00:08:09,000 --> 00:08:12,000 One of the referees who refereed the paper said, 196 00:08:12,000 --> 00:08:15,000 "It's too good to be true," 197 00:08:15,000 --> 00:08:17,000 which was not very nice. 198 00:08:17,000 --> 00:08:19,000 Well, one of the girls had taught herself 199 00:08:19,000 --> 00:08:21,000 to become the teacher. 200 00:08:21,000 --> 00:08:23,000 And then that's her over there. 201 00:08:31,000 --> 00:08:33,000 Remember, they don't study English. 202 00:08:46,000 --> 00:08:49,000 I edited out the last bit when I asked, "Where is the neuron?" 203 00:08:49,000 --> 00:08:51,000 and she says, "The neuron? The neuron," 204 00:08:51,000 --> 00:08:54,000 and then she looked and did this. 205 00:08:54,000 --> 00:08:57,000 Whatever the expression, it was not very nice. 206 00:08:57,000 --> 00:09:00,000 So their scores had gone up from zero to 30 percent, 207 00:09:00,000 --> 00:09:03,000 which is an educational impossibility under the circumstances. 208 00:09:03,000 --> 00:09:06,000 But 30 percent is not a pass. 209 00:09:06,000 --> 00:09:08,000 So I found that they had a friend, 210 00:09:08,000 --> 00:09:10,000 a local accountant, a young girl, 211 00:09:10,000 --> 00:09:12,000 and they played football with her. 212 00:09:12,000 --> 00:09:14,000 I asked that girl, "Would you teach them 213 00:09:14,000 --> 00:09:16,000 enough biotechnology to pass?" 214 00:09:16,000 --> 00:09:18,000 And she said, "How would I do that? I don't know the subject." 215 00:09:18,000 --> 00:09:20,000 I said, "No, use the method of the grandmother." 216 00:09:20,000 --> 00:09:22,000 She said, "What's that?" 217 00:09:22,000 --> 00:09:24,000 I said, "Well, what you've got to do 218 00:09:24,000 --> 00:09:26,000 is stand behind them 219 00:09:26,000 --> 00:09:29,000 and admire them all the time. 220 00:09:29,000 --> 00:09:31,000 Just say to them, 'That's cool. That's fantastic. 221 00:09:31,000 --> 00:09:34,000 What is that? Can you do that again? Can you show me some more?'" 222 00:09:34,000 --> 00:09:36,000 She did that for two months. 223 00:09:36,000 --> 00:09:38,000 The scores went up to 50, 224 00:09:38,000 --> 00:09:40,000 which is what the posh schools of New Delhi, 225 00:09:40,000 --> 00:09:43,000 with a trained biotechnology teacher were getting. 226 00:09:43,000 --> 00:09:45,000 So I came back to Newcastle 227 00:09:45,000 --> 00:09:47,000 with these results 228 00:09:47,000 --> 00:09:49,000 and decided 229 00:09:49,000 --> 00:09:51,000 that there was something happening here 230 00:09:51,000 --> 00:09:54,000 that definitely was getting very serious. 231 00:09:55,000 --> 00:09:58,000 So, having experimented in all sorts of remote places, 232 00:09:58,000 --> 00:10:01,000 I came to the most remote place that I could think of. 233 00:10:01,000 --> 00:10:03,000 (Laughter) 234 00:10:04,000 --> 00:10:07,000 Approximately 5,000 miles from Delhi 235 00:10:07,000 --> 00:10:09,000 is the little town of Gateshead. 236 00:10:09,000 --> 00:10:12,000 In Gateshead, I took 32 children 237 00:10:12,000 --> 00:10:15,000 and I started to fine-tune the method. 238 00:10:15,000 --> 00:10:18,000 I made them into groups of four. 239 00:10:18,000 --> 00:10:20,000 I said, "You make your own groups of four. 240 00:10:20,000 --> 00:10:23,000 Each group of four can use one computer and not four computers." 241 00:10:23,000 --> 00:10:26,000 Remember, from the Hole in the Wall. 242 00:10:26,000 --> 00:10:28,000 "You can exchange groups. 243 00:10:28,000 --> 00:10:30,000 You can walk across to another group, 244 00:10:30,000 --> 00:10:32,000 if you don't like your group, etc. 245 00:10:32,000 --> 00:10:35,000 You can go to another group, peer over their shoulders, see what they're doing, 246 00:10:35,000 --> 00:10:38,000 come back to you own group and claim it as your own work." 247 00:10:38,000 --> 00:10:40,000 And I explained to them 248 00:10:40,000 --> 00:10:43,000 that, you know, a lot of scientific research is done using that method. 249 00:10:43,000 --> 00:10:45,000 (Laughter) 250 00:10:45,000 --> 00:10:50,000 (Applause) 251 00:10:52,000 --> 00:10:54,000 The children enthusiastically got after me and said, 252 00:10:54,000 --> 00:10:56,000 "Now, what do you want us to do?" 253 00:10:56,000 --> 00:10:59,000 I gave them six GCSE questions. 254 00:10:59,000 --> 00:11:01,000 The first group -- the best one -- 255 00:11:01,000 --> 00:11:03,000 solved everything in 20 minutes. 256 00:11:03,000 --> 00:11:06,000 The worst, in 45. 257 00:11:06,000 --> 00:11:08,000 They used everything that they knew -- 258 00:11:08,000 --> 00:11:10,000 news groups, Google, Wikipedia, 259 00:11:10,000 --> 00:11:12,000 Ask Jeeves, etc. 260 00:11:12,000 --> 00:11:15,000 The teachers said, "Is this deep learning?" 261 00:11:15,000 --> 00:11:17,000 I said, "Well, let's try it. 262 00:11:17,000 --> 00:11:19,000 I'll come back after two months. 263 00:11:19,000 --> 00:11:21,000 We'll give them a paper test -- 264 00:11:21,000 --> 00:11:23,000 no computers, no talking to each other, etc." 265 00:11:23,000 --> 00:11:25,000 The average score when I'd done it with the computers and the groups 266 00:11:25,000 --> 00:11:27,000 was 76 percent. 267 00:11:27,000 --> 00:11:29,000 When I did the experiment, when I did the test, 268 00:11:29,000 --> 00:11:32,000 after two months, the score 269 00:11:32,000 --> 00:11:35,000 was 76 percent. 270 00:11:35,000 --> 00:11:37,000 There was photographic recall 271 00:11:37,000 --> 00:11:39,000 inside the children, 272 00:11:39,000 --> 00:11:42,000 I suspect because they're discussing with each other. 273 00:11:42,000 --> 00:11:44,000 A single child in front of a single computer 274 00:11:44,000 --> 00:11:46,000 will not do that. 275 00:11:46,000 --> 00:11:48,000 I have further results, 276 00:11:48,000 --> 00:11:50,000 which are almost unbelievable, 277 00:11:50,000 --> 00:11:52,000 of scores which go up with time. 278 00:11:52,000 --> 00:11:54,000 Because their teachers say 279 00:11:54,000 --> 00:11:56,000 that after the session is over, 280 00:11:56,000 --> 00:11:59,000 the children continue to Google further. 281 00:11:59,000 --> 00:12:01,000 Here in Britain, I put out a call 282 00:12:01,000 --> 00:12:03,000 for British grandmothers, 283 00:12:03,000 --> 00:12:05,000 after my Kuppam experiment. 284 00:12:05,000 --> 00:12:07,000 Well, you know, 285 00:12:07,000 --> 00:12:09,000 they're very vigorous people, British grandmothers. 286 00:12:09,000 --> 00:12:11,000 200 of them volunteered immediately. 287 00:12:11,000 --> 00:12:13,000 (Laughter) 288 00:12:13,000 --> 00:12:16,000 The deal was that they would give me 289 00:12:16,000 --> 00:12:18,000 one hour of broadband time, 290 00:12:18,000 --> 00:12:20,000 sitting in their homes, 291 00:12:20,000 --> 00:12:22,000 one day in a week. 292 00:12:22,000 --> 00:12:24,000 So they did that, 293 00:12:24,000 --> 00:12:26,000 and over the last two years, 294 00:12:26,000 --> 00:12:28,000 over 600 hours of instruction 295 00:12:28,000 --> 00:12:30,000 has happened over Skype, 296 00:12:30,000 --> 00:12:33,000 using what my students call the granny cloud. 297 00:12:33,000 --> 00:12:36,000 The granny cloud sits over there. 298 00:12:36,000 --> 00:12:39,000 I can beam them to whichever school I want to. 299 00:12:45,000 --> 00:12:47,000 (Video) Teacher: You can't catch me. 300 00:12:47,000 --> 00:12:50,000 You say it. 301 00:12:50,000 --> 00:12:53,000 You can't catch me. 302 00:12:53,000 --> 00:12:56,000 Children: You can't catch me. 303 00:12:56,000 --> 00:12:59,000 Teacher: I'm the gingerbread man. 304 00:12:59,000 --> 00:13:01,000 Children: I'm the gingerbread man. 305 00:13:01,000 --> 00:13:03,000 Teacher: Well done. Very good ... 306 00:13:09,000 --> 00:13:11,000 SM: Back at Gateshead, 307 00:13:11,000 --> 00:13:13,000 a 10-year-old girl gets into the heart of Hinduism 308 00:13:13,000 --> 00:13:15,000 in 15 minutes. 309 00:13:15,000 --> 00:13:18,000 You know, stuff which I don't know anything about. 310 00:13:21,000 --> 00:13:23,000 Two children watch a TEDTalk. 311 00:13:23,000 --> 00:13:25,000 They wanted to be footballers before. 312 00:13:25,000 --> 00:13:27,000 After watching eight TEDTalks, 313 00:13:27,000 --> 00:13:30,000 he wants to become Leonardo da Vinci. 314 00:13:30,000 --> 00:13:33,000 (Laughter) 315 00:13:33,000 --> 00:13:36,000 (Applause) 316 00:13:36,000 --> 00:13:38,000 It's pretty simple stuff. 317 00:13:38,000 --> 00:13:40,000 This is what I'm building now -- 318 00:13:40,000 --> 00:13:43,000 they're called SOLEs: Self Organized Learning Environments. 319 00:13:43,000 --> 00:13:45,000 The furniture is designed 320 00:13:45,000 --> 00:13:48,000 so that children can sit in front of big, powerful screens, 321 00:13:48,000 --> 00:13:51,000 big broadband connections, but in groups. 322 00:13:51,000 --> 00:13:54,000 If they want, they can call the granny cloud. 323 00:13:54,000 --> 00:13:56,000 This is a SOLE in Newcastle. 324 00:13:56,000 --> 00:13:58,000 The mediator is from Pune, India. 325 00:13:58,000 --> 00:14:01,000 So how far can we go? One last little bit and I'll stop. 326 00:14:01,000 --> 00:14:04,000 I went to Turin in May. 327 00:14:05,000 --> 00:14:08,000 I sent all the teachers away from my group of 10 year-old students. 328 00:14:09,000 --> 00:14:12,000 I speak only English, they speak only Italian, 329 00:14:12,000 --> 00:14:14,000 so we had no way to communicate. 330 00:14:14,000 --> 00:14:17,000 I started writing English questions on the blackboard. 331 00:14:18,000 --> 00:14:20,000 The children looked at it and said, "What?" 332 00:14:20,000 --> 00:14:22,000 I said, "Well, do it." 333 00:14:22,000 --> 00:14:25,000 They typed it into Google, translated it into Italian, 334 00:14:25,000 --> 00:14:27,000 went back into Italian Google. 335 00:14:27,000 --> 00:14:30,000 Fifteen minutes later -- 336 00:14:37,000 --> 00:14:40,000 next question: where is Calcutta? 337 00:14:42,000 --> 00:14:45,000 This one, they took only 10 minutes. 338 00:14:49,000 --> 00:14:52,000 I tried a really hard one then. 339 00:14:52,000 --> 00:14:55,000 Who was Pythagoras, and what did he do? 340 00:14:57,000 --> 00:14:59,000 There was silence for a while, 341 00:14:59,000 --> 00:15:01,000 then they said, "You've spelled it wrong. 342 00:15:01,000 --> 00:15:04,000 It's Pitagora." 343 00:15:08,000 --> 00:15:10,000 And then, 344 00:15:10,000 --> 00:15:12,000 in 20 minutes, 345 00:15:12,000 --> 00:15:14,000 the right-angled triangles began to appear on the screens. 346 00:15:14,000 --> 00:15:17,000 This sent shivers up my spine. 347 00:15:17,000 --> 00:15:19,000 These are 10 year-olds. 348 00:15:32,000 --> 00:15:35,000 Text: In another 30 minutes they would reach the Theory of Relativity. And then? 349 00:15:35,000 --> 00:15:37,000 (Laughter) 350 00:15:37,000 --> 00:15:46,000 (Applause) 351 00:15:46,000 --> 00:15:48,000 SM: So you know what's happened? 352 00:15:48,000 --> 00:15:50,000 I think we've just stumbled across 353 00:15:50,000 --> 00:15:52,000 a self-organizing system. 354 00:15:52,000 --> 00:15:54,000 A self-organizing system is one 355 00:15:54,000 --> 00:15:56,000 where a structure appears 356 00:15:56,000 --> 00:15:59,000 without explicit intervention from the outside. 357 00:15:59,000 --> 00:16:02,000 Self-organizing systems also always show emergence, 358 00:16:02,000 --> 00:16:04,000 which is that the system starts to do things, 359 00:16:04,000 --> 00:16:06,000 which it was never designed for. 360 00:16:06,000 --> 00:16:08,000 Which is why you react the way you do, 361 00:16:08,000 --> 00:16:11,000 because it looks impossible. 362 00:16:11,000 --> 00:16:14,000 I think I can make a guess now -- 363 00:16:14,000 --> 00:16:16,000 education is self-organizing system, 364 00:16:16,000 --> 00:16:18,000 where learning is an emergent phenomenon. 365 00:16:18,000 --> 00:16:20,000 It'll take a few years to prove it, experimentally, 366 00:16:20,000 --> 00:16:22,000 but I'm going to try. 367 00:16:22,000 --> 00:16:25,000 But in the meanwhile, there is a method available. 368 00:16:25,000 --> 00:16:28,000 One billion children, we need 100 million mediators -- 369 00:16:28,000 --> 00:16:30,000 there are many more than that on the planet -- 370 00:16:30,000 --> 00:16:32,000 10 million SOLEs, 371 00:16:32,000 --> 00:16:35,000 180 billion dollars and 10 years. 372 00:16:36,000 --> 00:16:38,000 We could change everything. 373 00:16:38,000 --> 00:16:40,000 Thanks. 374 00:16:40,000 --> 00:16:51,000 (Applause)