Sugata Mitra: Can kids teach themselves?

188,286 views ・ 2008-08-27

TED


Please double-click on the English subtitles below to play the video.

00:16
I have a tough job to do.
0
16160
3000
00:19
You know, when I looked at the profile of the audience here,
1
19160
6000
00:25
with their connotations and design, in all its forms,
2
25160
7000
00:32
and with so much and so many people working
3
32160
2000
00:34
on collaborative and networks, and so on, that I wanted to tell you,
4
34160
5000
00:39
I wanted to build an argument for primary education
5
39160
5000
00:44
in a very specific context.
6
44160
2000
00:46
In order to do that in 20 minutes, I have to bring out four ideas --
7
46160
4000
00:50
it's like four pieces of a puzzle.
8
50160
3000
00:53
And if I succeed in doing that,
9
53160
3000
00:56
maybe you would go back with the thought
10
56160
3000
00:59
that you could build on, and perhaps help me do my work.
11
59160
3000
01:06
The first piece of the puzzle is remoteness
12
66160
3000
01:09
and the quality of education.
13
69160
2000
01:11
Now, by remoteness, I mean two or three different kinds of things.
14
71160
5000
01:16
Of course, remoteness in its normal sense, which means
15
76160
3000
01:19
that as you go further and further away
16
79160
3000
01:22
from an urban center, you get to remoter areas.
17
82160
5000
01:27
What happens to education?
18
87160
3000
01:30
The second, or a different kind of remoteness
19
90160
2000
01:32
is that within the large metropolitan areas all over the world,
20
92160
5000
01:37
you have pockets, like slums, or shantytowns, or poorer areas,
21
97160
5000
01:42
which are socially and economically remote
22
102160
4000
01:46
from the rest of the city, so it's us and them.
23
106160
3000
01:49
What happens to education in that context?
24
109160
2000
01:51
So keep both of those ideas of remoteness.
25
111160
8000
01:59
We made a guess. The guess was that schools in remote areas
26
119160
3000
02:02
do not have good enough teachers.
27
122160
3000
02:05
If they do have, they cannot retain those teachers.
28
125160
2000
02:07
They do not have good enough infrastructure.
29
127160
3000
02:10
And if they had some infrastructure,
30
130160
2000
02:12
they have difficulty maintaining it.
31
132160
2000
02:14
But I wanted to check if this is true. So what I did last year was
32
134160
5000
02:19
we hired a car, looked up on Google,
33
139160
5000
02:24
found a route into northern India from New Delhi
34
144160
5000
02:29
which, you know, which did not cross any big cities
35
149160
5000
02:34
or any big metropolitan centers. Drove out about 300 kilometers,
36
154160
6000
02:40
and wherever we found a school, administered a set of standard tests,
37
160160
5000
02:45
and then took those test results and plotted them on a graph.
38
165160
6000
02:51
The graph was interesting, although you need to consider it carefully.
39
171160
4000
02:55
I mean, this is a very small sample; you should not generalize from it.
40
175160
4000
02:59
But it was quite obvious, quite clear,
41
179160
2000
03:01
that for this particular route that I had taken,
42
181160
4000
03:05
the remoter the school was, the worse its results seemed to be.
43
185160
5000
03:10
That seemed a little damning,
44
190160
2000
03:12
and I tried to correlate it with things like infrastructure,
45
192160
5000
03:17
or with the availability of electricity, and things like that.
46
197160
3000
03:20
To my surprise, it did not correlate.
47
200160
3000
03:23
It did not correlate with the size of classrooms.
48
203160
3000
03:26
It did not correlate with the quality of the infrastructure.
49
206160
5000
03:31
It did not correlate with the poverty levels. It did not correlate.
50
211160
4000
03:35
But what happened was that when I administered a questionnaire
51
215160
4000
03:39
to each of these schools, with one single question for the teachers -- which was,
52
219160
4000
03:43
"Would you like to move to an urban, metropolitan area?" --
53
223160
5000
03:48
69 percent of them said yes. And as you can see from that,
54
228160
5000
03:53
they say yes just a little bit out of Delhi,
55
233160
6000
03:59
and they say no when you hit the rich suburbs of Delhi --
56
239160
3000
04:02
because, you know, those are relatively better off areas --
57
242160
3000
04:05
and then from 200 kilometers out of Delhi, the answer is consistently yes.
58
245160
4000
04:09
I would imagine that a teacher who comes or walks into class
59
249160
3000
04:12
every day thinking that, I wish I was in some other school,
60
252160
4000
04:16
probably has a deep impact on what happens to the results.
61
256160
4000
04:20
So it looked as though teacher motivation and teacher migration
62
260160
5000
04:25
was a powerfully correlated thing with what was happening in primary schools,
63
265160
5000
04:30
as opposed to whether the children have enough to eat,
64
270160
3000
04:33
and whether they are packed tightly into classrooms
65
273160
2000
04:35
and that sort of thing. It appears that way.
66
275160
4000
04:39
When you take education and technology, then I find in the literature that,
67
279160
5000
04:44
you know, things like websites, collaborative environments --
68
284160
3000
04:47
you've been listening to all that in the morning --
69
287160
2000
04:49
it's always piloted first in the best schools, the best urban schools,
70
289160
6000
04:55
and, according to me, biases the result.
71
295160
3000
04:58
The literature -- one part of it, the scientific literature --
72
298160
4000
05:02
consistently blames ET as being over-hyped and under-performing.
73
302160
5000
05:07
The teachers always say, well, it's fine, but it's too expensive for what it does.
74
307160
6000
05:13
Because it's being piloted in a school where the students are already getting,
75
313160
3000
05:16
let's say, 80 percent of whatever they could do.
76
316160
3000
05:19
You put in this new super-duper technology, and now they get 83 percent.
77
319160
4000
05:23
So the principal looks at it and says,
78
323160
2000
05:25
3 percent for 300,000 dollars? Forget it.
79
325160
3000
05:28
If you took the same technology and piloted it into one of those remote schools,
80
328160
5000
05:33
where the score was 30 percent, and, let's say, took that up to 40 percent --
81
333160
5000
05:38
that will be a completely different thing.
82
338160
2000
05:40
So the relative change that ET, Educational Technology, would make,
83
340160
4000
05:44
would be far greater at the bottom of the pyramid than at the top,
84
344160
3000
05:47
but we seem to be doing it the other way about.
85
347160
3000
05:50
So I came to this conclusion that ET should reach
86
350160
3000
05:53
the underprivileged first, not the other way about.
87
353160
3000
05:56
And finally came the question of, how do you tackle teacher perception?
88
356160
3000
05:59
Whenever you go to a teacher and show them some technology,
89
359160
2000
06:01
the teacher's first reaction is,
90
361160
2000
06:03
you cannot replace a teacher with a machine -- it's impossible.
91
363160
6000
06:09
I don't know why it's impossible, but, even for a moment,
92
369160
2000
06:11
if you did assume that it's impossible -- I have a quotation from Sir Arthur C. Clarke,
93
371160
5000
06:16
the science fiction writer whom I met in Colombo,
94
376160
4000
06:20
and he said something which completely solves this problem.
95
380160
4000
06:24
He said a teacher than can be replaced by a machine, should be.
96
384160
6000
06:30
So, you know, it puts the teacher into a tough bind, you have to think.
97
390160
6000
06:36
Anyway, so I'm proposing that an alternative primary education,
98
396160
3000
06:39
whatever alternative you want, is required where schools don't exist,
99
399160
5000
06:44
where schools are not good enough, where teachers are not available
100
404160
3000
06:47
or where teachers are not good enough, for whatever reason.
101
407160
3000
06:50
If you happen to live in a part of the world where none of this applies,
102
410160
4000
06:54
then you don't need an alternative education.
103
414160
2000
06:56
So far I haven't come across such an area, except for one case. I won't name the area,
104
416160
6000
07:02
but somewhere in the world people said, we don't have this problem,
105
422160
3000
07:05
because we have perfect teachers and perfect schools.
106
425160
4000
07:09
There are such areas, but -- anyway, I'd never heard that anywhere else.
107
429160
6000
07:15
I'm going to talk about children and self-organization,
108
435160
3000
07:18
and a set of experiments which sort of led to this idea
109
438160
4000
07:22
of what might an alternative education be like.
110
442160
4000
07:26
They're called the hole-in-the-wall experiments.
111
446160
2000
07:28
I'll have to really rush through this. They're a set of experiments.
112
448160
5000
07:33
The first one was done in New Delhi in 1999.
113
453160
6000
07:39
And what we did over there was pretty much simple.
114
459160
4000
07:43
I had an office in those days which bordered a slum, an urban slum,
115
463160
4000
07:47
so there was a dividing wall between our office and the urban slum.
116
467160
4000
07:51
They cut a hole inside that wall --
117
471160
2000
07:53
which is how it has got the name hole-in-the-wall --
118
473160
2000
07:55
and put a pretty powerful PC into that hole, sort of embedded into the wall
119
475160
5000
08:00
so that its monitor was sticking out at the other end,
120
480160
3000
08:03
a touchpad similarly embedded into the wall,
121
483160
3000
08:06
put it on high-speed Internet, put the Internet Explorer there,
122
486160
6000
08:12
put it on Altavista.com -- in those days -- and just left it there.
123
492160
3000
08:15
And this is what we saw.
124
495160
5000
08:20
So that was my office in IIT. Here's the hole-in-the-wall.
125
500160
9000
08:29
About eight hours later, we found this kid.
126
509160
6000
08:35
To the right is this eight-year-old child who --
127
515160
5000
08:40
and to his left is a six-year-old girl, who is not very tall.
128
520160
5000
08:45
And what he was doing was, he was teaching her to browse.
129
525160
4000
08:49
So it sort of raised more questions than it answered.
130
529160
5000
08:54
Is this real? Does the language matter,
131
534160
2000
08:56
because he's not supposed to know English?
132
536160
2000
08:58
Will the computer last, or will they break it and steal it
133
538160
3000
09:01
-- and did anyone teach them?
134
541160
2000
09:03
The last question is what everybody said, but you know,
135
543160
2000
09:05
I mean, they must have poked their head over the wall
136
545160
2000
09:07
and asked the people in your office,
137
547160
2000
09:09
can you show me how to do it, and then somebody taught him.
138
549160
3000
09:12
So I took the experiment out of Delhi and repeated it,
139
552160
3000
09:15
this time in a city called Shivpuri in the center of India,
140
555160
6000
09:21
where I was assured that nobody had ever taught anybody anything.
141
561160
5000
09:26
(Laughter)
142
566160
4000
09:30
So it was a warm day, and the hole in the wall
143
570160
5000
09:35
was on that decrepit old building. This is the first kid who came there;
144
575160
5000
09:40
he later on turned out to be a 13-year-old school dropout.
145
580160
2000
09:42
He came there and he started to fiddle around with the touchpad.
146
582160
6000
09:48
Very quickly, he noticed that when he moves his finger on the touchpad
147
588160
3000
09:51
something moves on the screen --
148
591160
1000
09:52
and later on he told me, "I have never seen a television
149
592160
3000
09:55
where you can do something."
150
595160
1000
09:56
So he figured that out. It took him over two minutes
151
596160
3000
09:59
to figure out that he was doing things to the television.
152
599160
3000
10:02
And then, as he was doing that, he made an accidental click
153
602160
3000
10:05
by hitting the touchpad -- you'll see him do that.
154
605160
7000
10:12
He did that, and the Internet Explorer changed page.
155
612160
6000
10:18
Eight minutes later, he looked from his hand to the screen,
156
618160
4000
10:22
and he was browsing: he was going back and forth.
157
622160
4000
10:26
When that happened, he started calling all the neighborhood children,
158
626160
5000
10:31
like, children would come and see what's happening over here.
159
631160
7000
10:38
And by the evening of that day, 70 children were all browsing.
160
638160
4000
10:42
So eight minutes and an embedded computer
161
642160
4000
10:46
seemed to be all that we needed there.
162
646160
4000
10:50
So we thought that this is what was happening:
163
650160
3000
10:53
that children in groups can self-instruct themselves
164
653160
3000
10:56
to use a computer and the Internet. But under what circumstances?
165
656160
8000
11:04
At this time there was a -- the main question was about English.
166
664160
6000
11:10
People said, you know, you really ought to have this in Indian languages.
167
670160
4000
11:14
So I said, have what, shall I translate the Internet
168
674160
3000
11:17
into some Indian language? That's not possible.
169
677160
3000
11:20
So, it has to be the other way about.
170
680160
2000
11:22
But let's see, how do the children tackle the English language?
171
682160
4000
11:26
I took the experiment out to northeastern India,
172
686160
3000
11:29
to a village called Madantusi,
173
689160
2000
11:31
where, for some reason, there was no English teacher,
174
691160
4000
11:35
so the children had not learned English at all.
175
695160
3000
11:38
And I built a similar hole-in-the-wall.
176
698160
4000
11:42
One big difference in the villages, as opposed to the urban slums:
177
702160
2000
11:44
there were more girls than boys who came to the kiosk.
178
704160
4000
11:48
In the urban slums, the girls tend to stay away.
179
708160
4000
11:52
I left the computer there with lots of CDs -- I didn't have any Internet --
180
712160
5000
11:57
and came back three months later.
181
717160
4000
12:01
So when I came back there, I found these two kids,
182
721160
4000
12:05
eight- and 12-year-olds, who were playing a game on the computer.
183
725160
4000
12:09
And as soon as they saw me they said,
184
729160
4000
12:13
"We need a faster processor and a better mouse."
185
733160
3000
12:16
(Laughter)
186
736160
4000
12:20
I was real surprised.
187
740160
2000
12:22
You know, how on earth did they know all this?
188
742160
3000
12:25
And they said, "Well, we've picked it up from the CDs."
189
745160
2000
12:27
So I said, "But how did you understand what's going on over there?"
190
747160
3000
12:30
So they said, "Well, you've left this machine
191
750160
2000
12:32
which talks only in English, so we had to learn English."
192
752160
3000
12:35
So then I measured, and they were using 200 English words with each other
193
755160
4000
12:39
-- mispronounced, but correct usage --
194
759160
3000
12:42
words like exit, stop, find, save, that kind of thing,
195
762160
6000
12:48
not only to do with the computer but in their day-to-day conversations.
196
768160
3000
12:51
So, Madantusi seemed to show that language is not a barrier;
197
771160
4000
12:55
in fact they may be able to teach themselves the language
198
775160
2000
12:57
if they really wanted to.
199
777160
3000
13:00
Finally, I got some funding to try this experiment out
200
780160
5000
13:05
to see if these results are replicable, if they happen everywhere else.
201
785160
4000
13:09
India is a good place to do such an experiment in,
202
789160
3000
13:12
because we have all the ethnic diversities, all the -- you know,
203
792160
3000
13:15
the genetic diversity, all the racial diversities,
204
795160
3000
13:18
and also all the socio-economic diversities.
205
798160
2000
13:20
So, I could actually choose samples to cover a cross section
206
800160
5000
13:25
that would cover practically the whole world.
207
805160
4000
13:29
So I did this for almost five years, and this experiment
208
809160
4000
13:33
really took us all the way across the length and breadth of India.
209
813160
3000
13:36
This is the Himalayas. Up in the north, very cold.
210
816160
3000
13:39
I also had to check or invent an engineering design
211
819160
3000
13:42
which would survive outdoors, and I was using regular, normal PCs,
212
822160
4000
13:46
so I needed different climates, for which India is also great,
213
826160
3000
13:49
because we have very cold, very hot, and so on.
214
829160
3000
13:52
This is the desert to the west. Near the Pakistan border.
215
832160
12000
14:04
And you see here a little clip of -- one of these villages --
216
844160
4000
14:08
the first thing that these children did was to find a website
217
848160
3000
14:11
to teach themselves the English alphabet.
218
851160
4000
14:15
Then to central India -- very warm, moist, fishing villages,
219
855160
4000
14:19
where humidity is a very big killer of electronics.
220
859160
4000
14:23
So we had to solve all the problems we had
221
863160
3000
14:26
without air conditioning and with very poor power,
222
866160
2000
14:28
so most of the solutions that came out used little blasts of air
223
868160
5000
14:33
put at the right places to keep the machines running.
224
873160
3000
14:36
I want to just cut this short. We did this over and over again.
225
876160
5000
14:41
This sequence is also nice. This is a small child, a six-year-old,
226
881160
4000
14:45
telling his eldest sister what to do.
227
885160
2000
14:47
And this happens very often with these computers,
228
887160
2000
14:49
that the younger children are found teaching the older ones.
229
889160
6000
14:55
What did we find? We found that six- to 13-year-olds can self-instruct
230
895160
5000
15:00
in a connected environment,
231
900160
2000
15:02
irrespective of anything that we could measure.
232
902160
5000
15:07
So if they have access to the computer, they will teach themselves, including intelligence.
233
907160
5000
15:12
I couldn't find a single correlation with anything, but it had to be in groups.
234
912160
5000
15:17
And that may be of great, you know, interest to this group,
235
917160
4000
15:21
because all of you are talking about groups.
236
921160
2000
15:23
So here was the power of what a group of children can do,
237
923160
4000
15:27
if you lift the adult intervention.
238
927160
3000
15:30
Just a quick idea of the measurements.
239
930160
4000
15:34
We took standard statistical techniques, so I'm going to not talk about that.
240
934160
4000
15:38
But we got a clean learning curve,
241
938160
3000
15:41
almost exactly the same as what you would get in a school.
242
941160
3000
15:44
I'll leave it at that,
243
944160
2000
15:46
because, I mean, it sort of says it all, doesn't it?
244
946160
3000
15:49
What could they learn to do?
245
949160
2000
15:51
Basic Windows functions, browsing, painting, chatting and email,
246
951160
5000
15:56
games and educational material, music downloads, playing video.
247
956160
3000
15:59
In short, what all of us do.
248
959160
2000
16:01
And over 300 children will become computer literate
249
961160
4000
16:05
and be able to do all of these things in six months with one computer.
250
965160
5000
16:10
So, how do they do that?
251
970160
1000
16:11
If you calculated the actual time of access,
252
971160
2000
16:13
it would work out to minutes per day,
253
973160
2000
16:15
so that's not how it's happening.
254
975160
2000
16:17
What you have, actually, is there is one child operating the computer.
255
977160
5000
16:22
And surrounding him are usually three other children,
256
982160
2000
16:24
who are advising him on what they should do.
257
984160
4000
16:28
If you test them, all four will get the same scores in whatever you ask them.
258
988160
4000
16:32
Around these four are usually a group of about 16 children,
259
992160
4000
16:36
who are also advising, usually wrongly,
260
996160
3000
16:39
about everything that's going on on the computer.
261
999160
3000
16:42
And all of them also will clear a test given on that subject.
262
1002160
5000
16:47
So they are learning as much by watching as they learn by doing.
263
1007160
4000
16:51
It seems counter-intuitive to adult learning,
264
1011160
3000
16:54
but remember, eight-year-olds live in a society
265
1014160
2000
16:56
where most of the time they are told, don't do this,
266
1016160
4000
17:00
you know, don't touch the whiskey bottle.
267
1020160
2000
17:02
So what does the eight-year-old do?
268
1022160
2000
17:04
He observes very carefully how a whiskey bottle should be touched.
269
1024160
4000
17:08
And if you tested him,
270
1028160
1000
17:09
he would answer every question correctly on that topic.
271
1029160
2000
17:11
So, they seem to be able to acquire very quickly.
272
1031160
6000
17:17
So what was the conclusion over the six years of work?
273
1037160
3000
17:20
It was that primary education can happen on its own,
274
1040160
4000
17:24
or parts of it can happen on its own.
275
1044160
2000
17:26
It does not have to be imposed from the top downwards.
276
1046160
4000
17:30
It could perhaps be a self-organizing system, so that was
277
1050160
6000
17:36
the second bit that I wanted to tell you,
278
1056160
2000
17:38
that children can self-organize and attain an educational objective.
279
1058160
4000
17:42
The third piece was on values, and again, to put it very briefly,
280
1062160
6000
17:48
I conducted a test over 500 children spread across all over India,
281
1068160
4000
17:52
and asked them -- I gave them about 68 different
282
1072160
3000
17:55
values-oriented questions and simply asked them their opinions.
283
1075160
4000
17:59
We got all sorts of opinions. Yes, no or I don't know.
284
1079160
4000
18:03
I simply took those questions where I got 50 percent yeses and 50 percent noes --
285
1083160
6000
18:09
so I was able to get a collection of 16 such statements.
286
1089160
4000
18:13
These were areas where the children were clearly confused,
287
1093160
4000
18:17
because half said yes and half said no.
288
1097160
2000
18:19
A typical example being, "Sometimes it is necessary to tell lies."
289
1099160
4000
18:23
They don't have a way to determine which way to answer this question;
290
1103160
5000
18:28
perhaps none of us do.
291
1108160
3000
18:31
So I leave you with this third question.
292
1111160
2000
18:33
Can technology alter the acquisition of values?
293
1113160
4000
18:37
Finally, self-organizing systems,
294
1117160
2000
18:39
about which, again, I won't say too much
295
1119160
2000
18:41
because you've been hearing all about it.
296
1121160
4000
18:45
Natural systems are all self-organizing:
297
1125160
2000
18:47
galaxies, molecules, cells, organisms, societies --
298
1127160
3000
18:50
except for the debate about an intelligent designer.
299
1130160
2000
18:52
But at this point in time, as far as science goes,
300
1132160
3000
18:55
it's self-organization.
301
1135160
2000
18:57
But other examples are traffic jams, stock market, society
302
1137160
3000
19:00
and disaster recovery, terrorism and insurgency.
303
1140160
6000
19:06
And you know about the Internet-based self-organizing systems.
304
1146160
4000
19:10
So here are my four sentences then.
305
1150160
2000
19:12
Remoteness affects the quality of education.
306
1152160
4000
19:16
Educational technology should be introduced into remote areas first,
307
1156160
6000
19:22
and other areas later.
308
1162160
3000
19:25
Values are acquired; doctrine and dogma are imposed --
309
1165160
6000
19:31
the two opposing mechanisms.
310
1171160
2000
19:33
And learning is most likely a self-organizing system.
311
1173160
5000
19:38
If you put all the four together, then it gives -- according to me --
312
1178160
5000
19:43
it gives us a goal, a vision, for educational technology.
313
1183160
4000
19:47
An educational technology and pedagogy that is digital, automatic,
314
1187160
6000
19:53
fault-tolerant, minimally invasive, connected and self-organized.
315
1193160
6000
19:59
As educationists, we have never asked for technology; we keep borrowing it.
316
1199160
4000
20:03
PowerPoint is supposed to be considered a great educational technology,
317
1203160
4000
20:07
but it was not meant for education, it was meant for making boardroom presentations.
318
1207160
4000
20:11
We borrowed it. Video conferencing. The personal computer itself.
319
1211160
4000
20:15
I think it's time that the educationists made their own specs,
320
1215160
3000
20:18
and I have such a set of specs. This is a brief look at that.
321
1218160
4000
20:22
And such a set of specs should produce the technology
322
1222160
4000
20:26
to address remoteness, values and violence.
323
1226160
3000
20:29
So I thought I'd give it a name -- why don't we call it "outdoctrination."
324
1229160
6000
20:35
And could this be a goal for educational technology in the future?
325
1235160
5000
20:40
So I want to leave that as a thought with you.
326
1240160
3000
20:43
Thank you.
327
1243160
1000
20:44
(Applause)
328
1244160
6000
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7