Build a School in the Cloud
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0:01 - 0:07What is going to be the future of learning?
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0:07 - 0:09I do have a plan,
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0:09 - 0:12but in order for me to tell you what that plan is,
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0:12 - 0:15I need to tell you a little story,
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0:15 - 0:18which kind of sets the stage.
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0:18 - 0:20I tried to look at
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0:20 - 0:23where did the kind of learning we do in schools,
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0:23 - 0:25where did it come from?
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0:25 - 0:28And you can look far back into the past,
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0:28 - 0:32but if you look at present-day schooling the way it is,
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0:32 - 0:35it's quite easy to figure out where it came from.
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0:35 - 0:39It came from about 300 years ago,
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0:39 - 0:41and it came from the last
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0:41 - 0:44and the biggest of the empires on this planet. ["The British Empire"]
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0:44 - 0:47Imagine trying to run the show,
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0:47 - 0:49trying to run the entire planet,
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0:49 - 0:53without computers, without telephones,
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0:53 - 0:57with data handwritten on pieces of paper,
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0:57 - 1:01and traveling by ships.
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1:01 - 1:03But the Victorians actually did it.
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1:03 - 1:06What they did was amazing.
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1:06 - 1:09They created a global computer
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1:09 - 1:12made up of people.
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1:12 - 1:14It's still with us today.
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1:14 - 1:20It's called the bureaucratic administrative machine.
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1:20 - 1:23In order to have that machine running,
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1:23 - 1:27you need lots and lots of people.
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1:27 - 1:31They made another machine to produce those people:
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1:31 - 1:34the school.
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1:34 - 1:37The schools would produce the people
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1:37 - 1:41who would then become parts of the
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1:41 - 1:44bureaucratic administrative machine.
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1:44 - 1:48They must be identical to each other.
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1:48 - 1:50They must know three things:
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1:50 - 1:54They must have good handwriting, because the data is handwritten;
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1:54 - 1:56they must be able to read;
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1:56 - 1:58and they must be able to do multiplication,
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1:58 - 2:02division, addition and subtraction in their head.
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2:02 - 2:05They must be so identical that you could pick one up from New Zealand
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2:05 - 2:07and ship them to Canada
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2:07 - 2:12and he would be instantly functional.
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2:12 - 2:14The Victorians were great engineers.
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2:14 - 2:18They engineered a system that was so robust
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2:18 - 2:20that it's still with us today,
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2:20 - 2:24continuously producing identical people
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2:24 - 2:29for a machine that no longer exists.
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2:29 - 2:32The empire is gone,
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2:32 - 2:35so what are we doing with that design
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2:35 - 2:37that produces these identical people,
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2:37 - 2:40and what are we going to do next
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2:40 - 2:44if we ever are going to do anything else with it?
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2:44 - 2:46["Schools as we know them are obsolete"]
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2:46 - 2:48So that's a pretty strong comment there.
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2:48 - 2:52I said schools as we know them now, they're obsolete.
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2:52 - 2:53I'm not saying they're broken.
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2:53 - 2:56It's quite fashionable to say that the education system's broken.
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2:56 - 3:00It's not broken. It's wonderfully constructed.
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3:00 - 3:06It's just that we don't need it anymore. It's outdated.
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3:06 - 3:09What are the kind of jobs that we have today?
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3:09 - 3:11Well, the clerks are the computers.
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3:11 - 3:13They're there in thousands in every office.
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3:13 - 3:16And you have people who guide those computers
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3:16 - 3:19to do their clerical jobs.
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3:19 - 3:22Those people don't need to be able to write beautifully by hand.
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3:22 - 3:25They don't need to be able to multiply numbers in their heads.
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3:25 - 3:27They do need to be able to read.
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3:27 - 3:32In fact, they need to be able to read discerningly.
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3:32 - 3:35Well, that's today, but we don't even know
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3:35 - 3:37what the jobs of the future are going to look like.
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3:37 - 3:40We know that people will work from wherever they want,
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3:40 - 3:43whenever they want, in whatever way they want.
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3:43 - 3:47How is present-day schooling going to prepare them
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3:47 - 3:50for that world?
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3:50 - 3:55Well, I bumped into this whole thing completely by accident.
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3:55 - 3:58I used to teach people how to write computer programs
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3:58 - 4:00in New Delhi, 14 years ago.
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4:00 - 4:04And right next to where I used to work, there was a slum.
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4:04 - 4:06And I used to think, how on Earth are those kids
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4:06 - 4:09ever going to learn to write computer programs?
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4:09 - 4:12Or should they not?
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4:12 - 4:15At the same time, we also had lots of parents,
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4:15 - 4:17rich people, who had computers,
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4:17 - 4:20and who used to tell me, "You know, my son,
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4:20 - 4:22I think he's gifted,
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4:22 - 4:25because he does wonderful things with computers.
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4:25 - 4:29And my daughter -- oh, surely she is extra-intelligent."
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4:29 - 4:31And so on. So I suddenly figured that,
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4:31 - 4:33how come all the rich people are having
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4:33 - 4:35these extraordinarily gifted children?
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4:35 - 4:37(Laughter)
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4:37 - 4:40What did the poor do wrong?
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4:40 - 4:43I made a hole in the boundary wall
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4:43 - 4:45of the slum next to my office,
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4:45 - 4:48and stuck a computer inside it just to see what would happen
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4:48 - 4:51if I gave a computer to children who never would have one,
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4:51 - 4:54didn't know any English, didn't know what the Internet was.
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4:54 - 4:55The children came running in.
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4:55 - 4:57It was three feet off the ground, and they said, "What is this?"
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4:57 - 5:00And I said, "Yeah, it's, I don't know."
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5:00 - 5:02(Laughter)
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5:02 - 5:05They said, "Why have you put it there?"
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5:05 - 5:06I said, "Just like that."
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5:06 - 5:09And they said, "Can we touch it?"I said, "If you wish to."
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5:09 - 5:12And I went away.
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5:12 - 5:13About eight hours later,
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5:13 - 5:16we found them browsing and teaching each other how to browse.
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5:16 - 5:19So I said, "Well that's impossible, because --
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5:19 - 5:22How is it possible? They don't know anything."
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5:22 - 5:25My colleagues said, "No, it's a simple solution.
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5:25 - 5:28One of your students must have been passing by,
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5:28 - 5:30showed them how to use the mouse."
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5:30 - 5:32So I said, "Yeah, that's possible."
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5:32 - 5:35So I repeated the experiment. I went 300 miles out of Delhi
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5:35 - 5:37into a really remote village
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5:37 - 5:40where the chances of a passing software development engineer
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5:40 - 5:45was very little. (Laughter)
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5:45 - 5:48I repeated the experiment there.
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5:48 - 5:50There was no place to stay, so I stuck my computer in,
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5:50 - 5:52I went away, came back after a couple of months,
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5:52 - 5:54found kids playing games on it.
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5:54 - 5:55When they saw me, they said,
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5:55 - 5:57"We want a faster processor and a better mouse."
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5:57 - 6:01(Laughter)
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6:01 - 6:05So I said, "How on Earth do you know all this?"
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6:05 - 6:07And they said something very interesting to me.
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6:07 - 6:09In an irritated voice, they said,
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6:09 - 6:11"You've given us a machine that works only in English,
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6:11 - 6:18so we had to teach ourselves English in order to use it." (Laughter)
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6:18 - 6:20That's the first time, as a teacher,
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6:20 - 6:25that I had heard the word "teach ourselves" said so casually.
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6:25 - 6:28Here's a short glimpse from those years.
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6:28 - 6:31That's the first day at the Hole in the Wall.
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6:31 - 6:33On your right is an eight-year-old.
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6:33 - 6:39To his left is his student. She's six.
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6:39 - 6:42And he's teaching her how to browse.
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6:42 - 6:46Then onto other parts of the country,
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6:46 - 6:48I repeated this over and over again,
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6:48 - 6:51getting exactly the same results that we were.
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6:51 - 6:55["Hole in the wall film - 1999"]
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6:55 - 7:00An eight-year-old telling his elder sister what to do.
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7:04 - 7:10And finally a girl explaining in Marathi what it is,
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7:10 - 7:14and said, "There's a processor inside."
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7:14 - 7:17So I started publishing.
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7:17 - 7:19I published everywhere. I wrote down and measured everything,
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7:19 - 7:22and I said, in nine months, a group of children
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7:22 - 7:24left alone with a computer in any language
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7:24 - 7:29will reach the same standard as an office secretary in the West.
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7:29 - 7:33I'd seen it happen over and over and over again.
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7:33 - 7:36But I was curious to know, what else would they do
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7:36 - 7:38if they could do this much?
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7:38 - 7:41I started experimenting with other subjects,
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7:41 - 7:44among them, for example, pronunciation.
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7:44 - 7:46There's one community of children in southern India
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7:46 - 7:49whose English pronunciation is really bad,
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7:49 - 7:53and they needed good pronunciation because that would improve their jobs.
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7:53 - 7:57I gave them a speech-to-text engine in a computer,
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7:57 - 8:00and I said, "Keep talking into it until it types what you say."
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8:00 - 8:05(Laughter)
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8:05 - 8:10They did that, and watch a little bit of this.
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8:10 - 8:15Computer: Nice to meet you.Child: Nice to meet you.
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8:15 - 8:18Sugata Mitra: The reason I ended with the face
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8:18 - 8:21of this young lady over there is because I suspect many of you know her.
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8:21 - 8:25She has now joined a call center in Hyderabad
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8:25 - 8:30and may have tortured you about your credit card bills
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8:30 - 8:34in a very clear English accent.
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8:34 - 8:39So then people said, well, how far will it go?
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8:39 - 8:40Where does it stop?
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8:40 - 8:44I decided I would destroy my own argument
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8:44 - 8:46by creating an absurd proposition.
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8:46 - 8:50I made a hypothesis, a ridiculous hypothesis.
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8:50 - 8:52Tamil is a south Indian language, and I said,
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8:52 - 8:55can Tamil-speaking children in a south Indian village
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8:55 - 8:58learn the biotechnology of DNA replication in English
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8:58 - 9:00from a streetside computer?
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9:00 - 9:03And I said, I'll measure them. They'll get a zero.
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9:03 - 9:06I'll spend a couple of months, I'll leave it for a couple of months,
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9:06 - 9:08I'll go back, they'll get another zero.
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9:08 - 9:12I'll go back to the lab and say, we need teachers.
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9:12 - 9:16I found a village. It was called Kallikuppam in southern India.
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9:16 - 9:19I put in Hole in the Wall computers there,
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9:19 - 9:23downloaded all kinds of stuff from the Internet about DNA replication,
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9:23 - 9:26most of which I didn't understand.
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9:26 - 9:29The children came rushing, said, "What's all this?"
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9:29 - 9:34So I said, "It's very topical, very important. But it's all in English."
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9:34 - 9:37So they said, "How can we understand such big English words
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9:37 - 9:39and diagrams and chemistry?"
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9:39 - 9:42So by now, I had developed a new pedagogical method,
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9:42 - 9:45so I applied that. I said, "I haven't the foggiest idea."
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9:45 - 9:48(Laughter)
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9:48 - 9:51"And anyway, I am going away."
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9:51 - 9:56(Laughter)
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9:56 - 9:59So I left them for a couple of months.
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9:59 - 10:02They'd got a zero. I gave them a test.
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10:02 - 10:03I came back after two months
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10:03 - 10:06and the children trooped in and said, "We've understood nothing."
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10:06 - 10:09So I said, "Well, what did I expect?"
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10:09 - 10:13So I said, "Okay, but how long did it take you
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10:13 - 10:15before you decided that you can't understand anything?"
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10:15 - 10:17So they said, "We haven't given up.
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10:17 - 10:19We look at it every single day."
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10:19 - 10:22So I said, "What? You don't understand these screens
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10:22 - 10:24and you keep staring at it for two months? What for?"
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10:24 - 10:27So a little girl who you see just now,
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10:27 - 10:30she raised her hand, and she says to me in broken Tamil and English,
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10:30 - 10:32she said, "Well, apart from the fact that
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10:32 - 10:35improper replication of the DNA molecule causes disease,
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10:35 - 10:38we haven't understood anything else."
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10:38 - 10:43(Laughter) (Applause)
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10:43 - 10:47So I tested them.
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10:47 - 10:51I got an educational impossibility, zero to 30 percent
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10:51 - 10:53in two months in the tropical heat
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10:53 - 10:56with a computer under the tree in a language they didn't know
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10:56 - 10:59doing something that's a decade ahead of their time.
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10:59 - 11:05Absurd. But I had to follow the Victorian norm.
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11:05 - 11:08Thirty percent is a fail.
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11:08 - 11:11How do I get them to pass? I have to get them 20 more marks.
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11:11 - 11:16I couldn't find a teacher. What I did find was a friend that they had,
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11:16 - 11:18a 22-year-old girl who was an accountant
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11:18 - 11:21and she played with them all the time.
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11:21 - 11:23So I asked this girl, "Can you help them?"
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11:23 - 11:25So she says, "Absolutely not.
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11:25 - 11:28I didn't have science in school. I have no idea
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11:28 - 11:33what they're doing under that tree all day long. I can't help you."
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11:33 - 11:37I said, "I'll tell you what. Use the method of the grandmother."
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11:37 - 11:39So she says, "What's that?"
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11:39 - 11:40I said, "Stand behind them.
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11:40 - 11:42Whenever they do anything, you just say,
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11:42 - 11:45'Well, wow, I mean, how did you do that?
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11:45 - 11:48What's the next page? Gosh, when I was your age, I could have never done that.'
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11:48 - 11:51You know what grannies do."
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11:51 - 11:53So she did that for two more months.
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11:53 - 11:56The scores jumped to 50 percent.
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11:56 - 11:57Kallikuppam had caught up
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11:57 - 11:59with my control school in New Delhi,
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11:59 - 12:03a rich private school with a trained biotechnology teacher.
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12:03 - 12:08When I saw that graph I knew there is a way to level the playing field.
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12:08 - 12:10Here's Kallikuppam.
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12:10 - 12:18(Children speaking) Neurons ... communication.
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12:18 - 12:22I got the camera angle wrong. That one is just amateur stuff,
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12:22 - 12:25but what she was saying, as you could make out,
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12:25 - 12:27was about neurons, with her hands were like that,
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12:27 - 12:31and she was saying neurons communicate.
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12:31 - 12:34At 12.
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12:34 - 12:37So what are jobs going to be like?
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12:37 - 12:39Well, we know what they're like today.
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12:39 - 12:42What's learning going to be like? We know what it's like today,
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12:42 - 12:45children pouring over with their mobile phones on the one hand
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12:45 - 12:49and then reluctantly going to school to pick up their books with their other hand.
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12:49 - 12:53What will it be tomorrow?
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12:53 - 12:57Could it be that we don't need to go to school at all?
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12:57 - 13:01Could it be that, at the point in time when you need to know something,
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13:01 - 13:04you can find out in two minutes?
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13:04 - 13:08Could it be -- a devastating question,
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13:08 - 13:11a question that was framed for me by Nicholas Negroponte --
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13:11 - 13:14could it be that we are heading towards or maybe in
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13:14 - 13:18a future where knowing is obsolete?
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13:18 - 13:20But that's terrible. We are homo sapiens.
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13:20 - 13:24Knowing, that's what distinguishes us from the apes.
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13:24 - 13:26But look at it this way.
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13:26 - 13:28It took nature 100 million years
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13:28 - 13:31to make the ape stand up
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13:31 - 13:33and become Homo sapiens.
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13:33 - 13:36It took us only 10,000 to make knowing obsolete.
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13:36 - 13:39What an achievement that is.
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13:39 - 13:43But we have to integrate that into our own future.
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13:43 - 13:46Encouragement seems to be the key.
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13:46 - 13:47If you look at Kuppam,
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13:47 - 13:50if you look at all of the experiments that I did,
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13:50 - 13:57it was simply saying, "Wow," saluting learning.
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13:57 - 13:59There is evidence from neuroscience.
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13:59 - 14:02The reptilian part of our brain, which sits in the center of our brain,
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14:02 - 14:06when it's threatened, it shuts down everything else,
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14:06 - 14:10it shuts down the prefrontal cortex, the parts which learn,
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14:10 - 14:12it shuts all of that down.
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14:12 - 14:17Punishment and examinations are seen as threats.
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14:17 - 14:20We take our children, we make them shut their brains down,
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14:20 - 14:23and then we say, "Perform."
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14:23 - 14:26Why did they create a system like that?
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14:26 - 14:28Because it was needed.
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14:28 - 14:31There was an age in the Age of Empires
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14:31 - 14:35when you needed those people who can survive under threat.
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14:35 - 14:37When you're standing in a trench all alone,
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14:37 - 14:41if you could have survived, you're okay, you've passed.
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14:41 - 14:44If you didn't, you failed.
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14:44 - 14:47But the Age of Empires is gone.
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14:47 - 14:50What happens to creativity in our age?
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14:50 - 14:54We need to shift that balance back
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14:54 - 14:57from threat to pleasure.
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14:57 - 15:01I came back to England looking for British grandmothers.
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15:01 - 15:04I put out notices in papers saying,
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15:04 - 15:07if you are a British grandmother, if you have broadband and a web camera,
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15:07 - 15:11can you give me one hour of your time per week for free?
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15:11 - 15:13I got 200 in the first two weeks.
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15:13 - 15:18I know more British grandmothers than anyone in the universe. (Laughter)
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15:18 - 15:21They're called the Granny Cloud.
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15:21 - 15:23The Granny Cloud sits on the Internet.
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15:23 - 15:27If there's a child in trouble, we beam a Gran.
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15:27 - 15:31She goes on over Skype and she sorts things out.
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15:31 - 15:35I've seen them do it from a village called Diggles
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15:35 - 15:37in northwestern England,
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15:37 - 15:40deep inside a village in Tamil Nadu, India,
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15:40 - 15:426,000 miles away.
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15:42 - 15:46She does it with only one age-old gesture.
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15:46 - 15:48"Shhh."
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15:48 - 15:50Okay?
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15:50 - 15:52Watch this.
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15:52 - 15:56Grandmother: You can't catch me. You say it.
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15:56 - 16:00You can't catch me.
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16:00 - 16:03Children: You can't catch me.
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16:03 - 16:08Grandmother: I'm the Gingerbread Man.Children: I'm the Gingerbread Man.
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16:08 - 16:13Grandmother: Well done! Very good.
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16:13 - 16:15SM: So what's happening here?
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16:15 - 16:17I think what we need to look at is
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16:17 - 16:20we need to look at learning
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16:20 - 16:24as the product of educational self-organization.
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16:24 - 16:27If you allow the educational process to self-organize,
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16:27 - 16:30then learning emerges.
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16:30 - 16:32It's not about making learning happen.
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16:32 - 16:34It's about letting it happen.
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16:34 - 16:37The teacher sets the process in motion
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16:37 - 16:40and then she stands back in awe
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16:40 - 16:43and watches as learning happens.
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16:43 - 16:45I think that's what all this is pointing at.
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16:45 - 16:48But how will we know? How will we come to know?
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16:48 - 16:50Well, I intend to build
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16:50 - 16:53these Self-Organized Learning Environments.
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16:53 - 16:57They are basically broadband, collaboration
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16:57 - 16:59and encouragement put together.
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16:59 - 17:01I've tried this in many, many schools.
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17:01 - 17:04It's been tried all over the world, and teachers
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17:04 - 17:07sort of stand back and say, "It just happens by itself?"
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17:07 - 17:10And I said, "Yeah, it happens by itself.""How did you know that?"
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17:10 - 17:14I said, "You won't believe the children who told me
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17:14 - 17:17and where they're from."
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17:17 - 17:19Here's a SOLE in action.
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17:19 - 17:26(Children talking)
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17:26 - 17:32This one is in England.
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17:32 - 17:36He maintains law and order,
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17:36 - 17:44because remember, there's no teacher around.
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17:46 - 17:50Girl: The total number of electrons is not equal to the total number of protons -- SM: Australia
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17:50 - 17:57Girl: -- giving it a net positive or negative electrical charge.
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17:57 - 18:00The net charge on an ion is equal to the number of protons
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18:00 - 18:04in the ion minus the number of electrons.
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18:04 - 18:07SM: A decade ahead of her time.
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18:07 - 18:10So SOLEs, I think we need a curriculum of big questions.
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18:10 - 18:12You already heard about that. You know what that means.
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18:12 - 18:16There was a time when Stone Age men and women
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18:16 - 18:18used to sit and look up at the sky and say,
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18:18 - 18:20"What are those twinkling lights?"
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18:20 - 18:25They built the first curriculum, but we've lost sight of those wondrous questions.
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18:25 - 18:29We've brought it down to the tangent of an angle.
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18:29 - 18:33But that's not sexy enough.
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18:33 - 18:36The way you would put it to a nine-year-old is to say,
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18:36 - 18:39"If a meteorite was coming to hit the Earth,
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18:39 - 18:43how would you figure out if it was going to or not?"
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18:43 - 18:45And if he says, "Well, what? how?"
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18:45 - 18:48you say, "There's a magic word. It's called the tangent of an angle,"
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18:48 - 18:51and leave him alone. He'll figure it out.
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18:51 - 18:55So here are a couple of images from SOLEs.
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18:55 - 19:01I've tried incredible, incredible questions --
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19:01 - 19:05"When did the world begin? How will it end?" —
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19:05 - 19:07to nine-year-olds.
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19:07 - 19:10This one is about what happens to the air we breathe.
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19:10 - 19:15This is done by children without the help of any teacher.
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19:15 - 19:18The teacher only raises the question,
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19:18 - 19:21and then stands back and admires the answer.
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19:21 - 19:25So what's my wish?
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19:25 - 19:27My wish is
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19:27 - 19:32that we design the future of learning.
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19:32 - 19:34We don't want to be spare parts
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19:34 - 19:36for a great human computer, do we?
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19:36 - 19:40So we need to design a future for learning.
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19:40 - 19:41And I've got to -- hang on,
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19:41 - 19:44I've got to get this wording exactly right,
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19:44 - 19:47because, you know, it's very important.
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19:47 - 19:49My wish is to help design a future of learning
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19:49 - 19:51by supporting children all over the world
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19:51 - 19:54to tap into their wonder and their ability to work together.
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19:54 - 19:56Help me build this school.
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19:56 - 20:00It will be called the School in the Cloud.
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20:00 - 20:05It will be a school where children go on these intellectual adventures
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20:05 - 20:09driven by the big questions which their mediators put in.
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20:09 - 20:11The way I want to do this
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20:11 - 20:15is to build a facility where I can study this.
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20:15 - 20:18It's a facility which is practically unmanned.
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20:18 - 20:20There's only one granny
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20:20 - 20:22who manages health and safety.
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20:22 - 20:24The rest of it's from the cloud.
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20:24 - 20:26The lights are turned on and off by the cloud,
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20:26 - 20:28etc., etc., everything's done from the cloud.
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20:28 - 20:31But I want you for another purpose.
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20:31 - 20:34You can do Self-Organized Learning Environments
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20:34 - 20:39at home, in the school, outside of school, in clubs.
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20:39 - 20:41It's very easy to do. There's a great document
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20:41 - 20:43produced by TED which tells you how to do it.
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20:43 - 20:46If you would please, please do it
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20:46 - 20:48across all five continents
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20:48 - 20:51and send me the data,
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20:51 - 20:54then I'll put it all together, move it into the School of Clouds,
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20:54 - 20:57and create the future of learning.
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20:57 - 20:59That's my wish.
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20:59 - 21:01And just one last thing.
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21:01 - 21:03I'll take you to the top of the Himalayas.
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21:03 - 21:06At 12,000 feet, where the air is thin,
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21:06 - 21:09I once built two Hole in the Wall computers,
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21:09 - 21:11and the children flocked there.
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21:11 - 21:14And there was this little girl who was following me around.
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21:14 - 21:19And I said to her, "You know, I want to give a computer to everybody, every child.
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21:19 - 21:21I don't know, what should I do?"
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21:21 - 21:25And I was trying to take a picture of her quietly.
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21:25 - 21:29She suddenly raised her hand like this, and said to me,
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21:29 - 21:31"Get on with it."
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21:31 - 21:43(Laughter) (Applause)
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21:43 - 21:45I think it was good advice.
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21:45 - 21:47I'll follow her advice. I'll stop talking.
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21:47 - 21:51Thank you. Thank you very much.
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21:51 - 21:54(Applause)
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21:54 - 22:03Thank you. Thank you. (Applause)
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22:03 - 22:09Thank you very much. Wow. (Applause)
- Title:
- Build a School in the Cloud
- Speaker:
- Sugata Mitra
- Description:
-
Onstage at TED2013, Sugata Mitra makes his bold TED Prize wish: Help me design the School in the Cloud, a learning lab in India, where children can explore and learn from each other -- using resources and mentoring from the cloud. Hear his inspiring vision for Self Organized Learning Environments (SOLE), and learn more at tedprize.org.
- Video Language:
- English
- Team:
- closed TED
- Project:
- TEDTalks
- Duration:
- 22:31
Morton Bast edited English subtitles for Build a School in the Cloud | ||
Morton Bast edited English subtitles for Build a School in the Cloud | ||
Morton Bast edited English subtitles for Build a School in the Cloud | ||
Morton Bast edited English subtitles for Build a School in the Cloud | ||
Thu-Huong Ha approved English subtitles for Build a School in the Cloud | ||
Thu-Huong Ha edited English subtitles for Build a School in the Cloud | ||
Thu-Huong Ha edited English subtitles for Build a School in the Cloud | ||
Morton Bast accepted English subtitles for Build a School in the Cloud |