ABOUT THE SPEAKER
Peter Norvig - Computer scientist
Peter Norvig is a leading American computer scientist, expert on artificial intelligence and the Director of Research at Google Inc.

Why you should listen

Peter Norvig is a computer scientist and expert in both artificial intelligence and online search. Currently the Director of Research at Google Inc., Norvig was responsible for maintaining and improving the engine's core web search algorithms from 2002 to 2005. Prior to his work at Google, Norvig was NASA's chief computer scientist.

A fellow of the American Association for Artificial Intelligence and the author of the book Artificial Intelligence: A Modern Approach, Norvig (along with Sebastian Thrun) taught the Stanford University class "Introduction to Artificial Intelligence," which was made available to anyone in the world. More than 160,000 students from 209 countries enrolled.

Norvig is also known for penning the world's longest palindromic sentence.

More profile about the speaker
Peter Norvig | Speaker | TED.com
TED2012

Peter Norvig: The 100,000-student classroom

Peter Norvig:容纳十万人的教室

Filmed:
1,166,568 views

2011年秋季,Peter Norvig和Sebastian Thrun在斯坦福大学开办了一个由175在校学生出席的的“人工智能”课程——这同时还有超过十万的学生通过互动直播来观看这个网络课程。他将与我们分享从这个环球教室的所学所得。
- Computer scientist
Peter Norvig is a leading American computer scientist, expert on artificial intelligence and the Director of Research at Google Inc. Full bio

Double-click the English transcript below to play the video.

00:17
Everyone大家 is both a learner学习者
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每个人都既是学生
00:19
and a teacher老师.
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又是老师
00:20
This is me being存在 inspired启发
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这就是我当时被我
00:22
by my first tutor导师,
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第一个导师所启蒙
00:24
my mom妈妈,
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我的妈妈
00:25
and this is me teaching教学
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而这是我教授的
00:27
Introduction介绍 to Artificial人造 Intelligence情报
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“人工智能入门”课程
00:29
to 200 students学生们
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给200多名学生
00:30
at Stanford斯坦福 University大学.
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在斯坦福大学
00:32
Now the students学生们 and I
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学生和我都
00:33
enjoyed享受 the class,
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非常享受这门课
00:34
but it occurred发生 to me
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但是我突然想到
00:36
that while the subject学科 matter
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虽说这门课的主题内容
00:37
of the class is advanced高级
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是非常高级的
00:39
and modern现代,
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并且现代的
00:39
the teaching教学 technology技术 isn't.
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但是讲授方法却非如此
00:42
In fact事实, I use basically基本上
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实际上,我基本上用了
00:44
the same相同 technology技术 as
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和14世纪教师
00:46
this 14th-centuryTH-世纪 classroom课堂.
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一样的方法来上课
00:49
Note注意 the textbook教科书,
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课本上的笔记
00:52
the sage智者 on the stage阶段,
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站在讲台上的智者
00:55
and the sleeping睡眠 guy
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以及正在后面
00:57
in the back. (Laughter笑声)
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睡觉的学生
00:58
Just like today今天.
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就跟今天一样
01:01
So my co-teacher合作教师,
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因此我的同科目老师
01:04
Sebastian塞巴斯蒂安 Thrun史朗, and I thought,
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Sebastian Thrun和我认为
01:05
there must必须 be a better way.
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一定有一种更好的方法(来传授知识)
01:07
We challenged挑战 ourselves我们自己
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我们挑战自我
01:09
to create创建 an online线上 class
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决心去创建一个在线网上课程
01:10
that would be equal等于 or better
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这门课程将会和我们在
01:12
in quality质量 to our Stanford斯坦福 class,
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斯坦福的课程质量媲美甚至更好
01:14
but to bring带来 it to anyone任何人
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而且还能给来自世界各地的人们
01:16
in the world世界 for free自由.
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免费学习的机会
01:18
We announced公布 the class on July七月 29th,
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我们在7月29号宣布了这项课程
01:20
and within two weeks, 50,000 people
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在两周之类,50000个人
01:24
had signed up for it.
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已经报名参加了
01:25
And that grew成长 to 160,000 students学生们
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最后参加人数达到160,000个学生
01:28
from 209 countries国家.
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各自从209个国家而来
01:30
We were thrilled高兴 to have
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我们实在是非常激动
01:32
that kind of audience听众,
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去拥有这样的观众
01:33
and just a bit terrified that we
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而且还有点害怕因为
01:36
hadn't有没有 finished preparing准备 the class yet然而. (Laughter笑声)
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我们还没准备好课程安排呢……(笑声)
01:38
So we got to work.
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因此我们加劲工作
01:40
We studied研究 what others其他 had doneDONE,
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我们研究了其他人已经做过的东西
01:41
what we could copy复制 and what we could change更改.
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计划了哪些东西该继承和哪些需要改变
01:44
Benjamin本杰明 Bloom盛开 had showed显示
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Benjamin Bloom曾表明
01:46
that one-on-one一对一 tutoring家教 works作品 best最好,
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一对一的家教效果最好
01:48
so that's what we tried试着 to emulate仿真,
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因此我们就准备这样模拟
01:50
like with me and my mom妈妈,
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就跟我和我妈妈一样
01:52
even though虽然 we knew知道
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虽然我们都知道这实际将是
01:53
it would be one-on-thousands一对一的数千.
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是一对数千人的课程
01:55
Here, an overhead高架 video视频 camera相机
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在这里,一个在头顶的摄像头
01:57
is recording记录 me as I'm talking
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正在录制我
01:59
and drawing画画 on a piece of paper.
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在纸上画画的方式讲课的过程
02:01
A student学生 said, "This class felt
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一个学生说:“这门课
02:03
like sitting坐在 in a bar酒吧
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就像是在酒吧和一个
02:04
with a really smart聪明 friend朋友
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很聪明的朋友坐着
02:06
who's谁是 explaining说明 something
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这个朋友还会向你解释一些
02:07
you haven't没有 grasped掌握, but are about to."
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你还不是很懂,但将要懂的东西
02:09
And that's exactly究竟 what we were aiming瞄准 for.
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而这个效果就是我们想要达到的
02:11
Now, from Khan Academy学院, we saw
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现在,我们可以在Khan Academy看到
02:14
that short 10-minute-分钟 videos视频
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这些短短10分钟的视频
02:16
worked工作 much better than trying
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这些东西比那些在一个小屏幕
02:18
to record记录 an hour-long长达一小时 lecture演讲
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播放足足一小时的视频讲座
02:20
and put it on the small-format小幅面 screen屏幕.
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效果要好多了
02:22
We decided决定 to go even shorter
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我们决定了把他们弄得再短些
02:25
and more interactive互动.
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更有互动性
02:26
Our typical典型 video视频 is two minutes分钟,
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我们的视频一般来说大约2分钟长度
02:28
sometimes有时 shorter, never more
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有时候更短,有时候比6分钟
02:30
than six, and then we pause暂停 for
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长一点,然后我们暂停,
02:33
a quiz测验 question, to make it
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出一道小问答题,使它变得像
02:34
feel like one-on-one一对一 tutoring家教.
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一对一的家教
02:36
Here, I'm explaining说明 how a computer电脑 uses使用
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在这,我在解释一个电脑如何
02:39
the grammar语法 of English英语
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理解英语语法
02:40
to parse解析 sentences句子, and here,
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去解析一个句子,而在这儿呢
02:42
there's a pause暂停 and the student学生
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这里有一个暂停让学生来
02:44
has to reflect反映, understand理解 what's going on
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回忆,理解刚才讲的是什么
02:46
and check the right boxes盒子
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然后在回到课程之前
02:48
before they can continue继续.
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选择正确的答案
02:49
Students学生们 learn学习 best最好 when
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学生在积极主动参与时
02:52
they're actively积极地 practicing.
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获得的学习效果最好
02:53
We wanted to engage从事 them, to have them grapple抓钩
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我们想让他们参与其中,让他们消除
02:55
with ambiguity歧义 and guide指南 them to synthesize合成
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迷惑并且使他们去自己
02:58
the key ideas思路 themselves他们自己.
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总结这些关键的理念
03:00
We mostly大多 avoid避免 questions问题
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像“这有个公式,现在
03:02
like, "Here's这里的 a formula, now
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告诉当X是2的时候
03:03
tell me the value of Y
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Y值是多少”
03:04
when X is equal等于 to two."
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我们通常不出这种问题
03:06
We preferred首选 open-ended打开端 questions问题.
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我们更喜欢开放性的问题
03:07
One student学生 wrote, "Now I'm seeing眼看
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一个学生写到:“我总能看见
03:11
Bayes贝叶斯 networks网络 and examples例子 of
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贝叶斯网络和博弈论的例子
03:13
game游戏 theory理论 everywhere到处 I look."
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到处都是。”
03:14
And I like that kind of response响应.
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我很喜欢那样的回馈
03:16
That's just what we were going for.
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这正是我们所想实现的
03:18
We didn't want students学生们 to memorize记忆 the formulas公式;
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我们不想要学生去背公式
03:20
we wanted to change更改 the way
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我们想去改变他们
03:21
they looked看着 at the world世界.
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看待世界的方式
03:22
And we succeeded成功.
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最后我们成功了
03:23
Or, I should say, the students学生们 succeeded成功.
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或者我应该说,学生们成功了
03:26
And it's a little bit ironic具有讽刺意味
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不过有点讽刺的是,
03:28
that we set about to disrupt破坏 traditional传统 education教育,
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我们差点就破坏了传统式的教育
03:31
and in doing so, we ended结束 up
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因为这原因,我们最后
03:33
making制造 our online线上 class
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将我们的在线课程做了调整
03:34
much more like a traditional传统 college学院 class
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比起其他的在线课程来说,
03:37
than other online线上 classes.
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这更像一个传统大学的课程
03:38
Most online线上 classes, the videos视频 are always available可得到.
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大多数在线课程的视频都是
03:42
You can watch them any time you want.
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可以随便看的
03:43
But if you can do it any time,
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但是如果你可以随时看,
03:46
that means手段 you can do it tomorrow明天,
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那就以为你可以明天再看
03:47
and if you can do it tomorrow明天,
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而如果你可以明天看,
03:49
well, you may可能 not ever
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嗯…那你估计说不定
03:51
get around to it. (Laughter笑声)
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就不看了
03:53
So we brought back the innovation革新
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因此呢我们带来的革新方式
03:55
of having due应有 dates日期. (Laughter笑声)
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就是有截止日期。(笑声)
03:57
You could watch the videos视频
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你可以观看这些视频
03:58
any time you wanted during the week,
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在这周的任何时候
04:00
but at the end结束 of the week,
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但是在周末之前,
04:01
you had to get the homework家庭作业 doneDONE.
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你必须得完成你的作业
04:03
This motivated动机 the students学生们 to keep going, and it also
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这就会激励学生去不断地去学习,
04:05
meant意味着 that everybody每个人 was working加工
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这还意味着每个人都在
04:08
on the same相同 thing at the same相同 time,
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在相同的时间内学习相同的内容
04:09
so if you went into a discussion讨论 forum论坛,
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当你进入一个讨论区的时候
04:11
you could get an answer回答 from a peer窥视 within minutes分钟.
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你可以在几分钟内从你的同学中得到解答
04:13
Now, I'll show显示 you some of the forums论坛, most of which哪一个
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现在,我要给你看几个这样的论坛,
04:16
were self-organized自组织 by the students学生们 themselves他们自己.
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大多数的这些讨论都是学生们自己组织的
04:19
From Daphne Koller科勒 and Andrew安德鲁 Ng, we learned学到了
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从Daphne Koller和Andrew Ng这里,我们学习到
04:22
the concept概念 of "flipping翻转" the classroom课堂.
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关于如何“贯通”课程的的方法
04:24
Students学生们 watched看着 the videos视频
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学生们先自己观看这些视频
04:26
on their own拥有, and then they
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然后他们再
04:27
come together一起 to discuss讨论 them.
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聚集到一起进行讨论
04:29
From Eric埃里克 Mazur马祖尔, I learned学到了 about peer窥视 instruction指令,
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从Eric Mazur,我了解到了关于同学指导的观点
04:32
that peers同行 can be the best最好 teachers教师,
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同伴可以成为最好的老师
04:35
because they're the ones那些
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因为他们了解类似处境的人
04:36
that remember记得 what it's like to not understand理解.
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的遇到困难时是什么样子的
04:39
Sebastian塞巴斯蒂安 and I have forgotten忘记了 some of that.
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有些东西Sebastian和我都快忘记了
04:42
Of course课程, we couldn't不能 have
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不过当然,我们没法
04:44
a classroom课堂 discussion讨论 with
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和成千上万的学生进行
04:46
tens of thousands数千 of students学生们,
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课堂讨论
04:47
so we encouraged鼓励 and nurtured培育 these online线上 forums论坛.
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因此我们便鼓励和培养这些在线的讨论模式
04:51
And finally最后, from Teach For America美国,
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最后,从“Teach For America(为美国而执教)”这个项目中
04:54
I learned学到了 that a class is not
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我学习到了上课不光是为了
04:55
primarily主要 about information信息.
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知识的传授
04:57
More important重要 is motivation动机 and determination决心.
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更重要的培养积极性和决心
05:00
It was crucial关键 that the students学生们 see
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学生们应当理解到
05:01
that we're working加工 hard for them and
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我们在为他们努力而且他们自己
05:03
they're all supporting支持 each other.
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也在相互支持,这是很关键的
05:05
Now, the class ran 10 weeks,
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到目前为止,这个课程已经进行了10周了,
05:08
and in the end结束, about half of the 160,000 students学生们 watched看着
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最后,一万六个学生中的一半都会
05:12
at least最小 one video视频 each week,
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至少在每周看一个视频
05:13
and over 20,000 finished all the homework家庭作业,
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而且超过两万人完成了他们的作业
05:16
putting in 50 to 100 hours小时.
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投入了50-100个小时
05:17
They got this statement声明 of accomplishment成就.
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他们最后收获到了这个结业证明
05:19
So what have we learned学到了?
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那么我们又学到了什么呢?
05:21
Well, we tried试着 some old ideas思路
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我们用了一些旧的观念
05:24
and some new and put them together一起,
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和一些新的想法并且把他们结合在了一起
05:26
but there are more ideas思路 to try.
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不过将来还有很多想法可以去尝试
05:28
Sebastian's塞巴斯蒂安 teaching教学 another另一个 class now.
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Sebastian正在教授另一个课程
05:30
I'll do one in the fall秋季.
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我在秋季也准备教授一个
05:31
Stanford斯坦福 CourseraCoursera, UdacityUdacity, MITxMITX
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斯坦福的Coursera,Udacity,以及麻省理工的MITx
05:35
and others其他 have more classes coming未来.
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还有很多其他的课程也要推出
05:37
It's a really exciting扣人心弦 time.
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这真的非常激动人心
05:38
But to me, the most exciting扣人心弦
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不过对我来说,最激动人心的就是
05:40
part部分 of it is the data数据 that we're gathering搜集.
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是那些我们收集到的数据
05:43
We're gathering搜集 thousands数千
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我们收集了
05:46
of interactions互动 per student学生 per class,
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上千次的互动记录,还有每个学生在每堂课中
05:47
billions数十亿 of interactions互动 altogether,
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共数十亿次的交流
05:49
and now we can start开始 analyzing分析 that,
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我们现在可以开始分析这些数据
05:52
and when we learn学习 from that,
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而当我们能从中探索到什么
05:53
do experimentations性实验,
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并做些尝试时
05:55
that's when the real真实 revolution革命 will come.
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真正的变革就会发生
05:57
And you'll你会 be able能够 to see the results结果 from
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你就能够看到从新一代学生
06:00
a new generation of amazing惊人 students学生们.
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身上的精湛成果
06:02
(Applause掌声)
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(鼓掌喝彩)
Translated by Yuguo Zhang
Reviewed by Si Xie

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ABOUT THE SPEAKER
Peter Norvig - Computer scientist
Peter Norvig is a leading American computer scientist, expert on artificial intelligence and the Director of Research at Google Inc.

Why you should listen

Peter Norvig is a computer scientist and expert in both artificial intelligence and online search. Currently the Director of Research at Google Inc., Norvig was responsible for maintaining and improving the engine's core web search algorithms from 2002 to 2005. Prior to his work at Google, Norvig was NASA's chief computer scientist.

A fellow of the American Association for Artificial Intelligence and the author of the book Artificial Intelligence: A Modern Approach, Norvig (along with Sebastian Thrun) taught the Stanford University class "Introduction to Artificial Intelligence," which was made available to anyone in the world. More than 160,000 students from 209 countries enrolled.

Norvig is also known for penning the world's longest palindromic sentence.

More profile about the speaker
Peter Norvig | Speaker | TED.com

Data provided by TED.

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