字幕列表 影片播放
Like many of you, I'm one of the lucky people.
就像許多人一樣,我是很幸運的
I was born to a family where education was pervasive.
我生長在一個很重教育的家庭
I'm a third-generation PhD, a daughter of two academics.
我家三代出博士,父母都是高知識份子
In my childhood, I played around in my father's university lab.
我的童年都是在父親的大學實驗室玩大的
So it was taken for granted that I attend some of the best universities,
也順理成章的進了頂尖的大學
which in turn opened the door to a world of opportunity.
為我開啓了機會的大門
Unfortunately, most of the people in the world are not so lucky.
不幸的是,世界上大部分的人並非如此幸運
In some parts of the world, for example, South Africa,
在這世界的某個角落,比如南非
education is just not readily accessible.
教育並非人人可及
In South Africa, the educational system was constructed
南非的教育系統
in the days of apartheid for the white minority.
是在種族隔離制度的時代 為少數白人建立的。
And as a consequence, today there is just not enough spots
其結果是,現今很多想要和得到高品質教育的人
for the many more people who want and deserve a high quality education.
場所卻是不夠用的
That scarcity led to a crisis in January of this year
今年一月在約翰尼斯堡大學
at the University of Johannesburg.
情況更趨惡化
There were a handful of positions left open
有一些名額
from the standard admissions process, and the night before
從標準招生釋放出來
they were supposed to open that for registration,
在他們要開放註冊的前一晚
thousands of people lined up outside the gate in a line a mile long,
上千人在大門外大排長龍
hoping to be first in line to get one of those positions.
希望拔得頭籌得到這些名額
When the gates opened, there was a stampede,
大門打開,相互踩踏之下
and 20 people were injured and one woman died.
20個人受傷,一名婦女死亡
She was a mother who gave her life
她是一位為子犧牲的母親
trying to get her son a chance at a better life.
只為下一代有更好的將來
But even in parts of the world like the United States
即使在美國
where education is available, it might not be within reach.
教育是存在的 但不一定能得到
There has been much discussed in the last few years
在近幾年一個很熱門的議題
about the rising cost of health care.
便是不斷飆高的醫療支出
What might not be quite as obvious to people
但民眾卻不易查覺的是
is that during that same period the cost of higher education tuition
同一時間高等教育的費用
has been increasing at almost twice the rate,
以將近兩倍的速度飆漲
for a total of 559 percent since 1985.
比1985年漲了5.59倍
This makes education unaffordable for many people.
對許多人來說高等教育變的遙不可及
Finally, even for those who do manage to get the higher education,
即便設法取得高等教育的人
the doors of opportunity might not open.
機會之門也沒有為他打開
Only a little over half of recent college graduates
近期在美國獲得高等教育的大學畢業生
in the United States who get a higher education
只有略為超過一半
actually are working in jobs that require that education.
從事需要高等教育的工作
This, of course, is not true for the students
對於那些畢業於頂尖機構的學生
who graduate from the top institutions,
這不是問題
but for many others, they do not get the value
但對許多其他人,他們沒有在付出時間和努力中
for their time and their effort.
獲得回報
Tom Friedman, in his recent New York Times article,
湯姆 • 弗裡德曼,他最近在紐約時報的文章,
captured, in the way that no one else could, the spirit behind our effort.
沒有人可以捕獲我們努力的精神。
He said the big breakthroughs are what happen
他說的大的突破是發生什麼事
when what is suddenly possible meets what is desperately necessary.
當什麼是突然可能遇上什麼是迫切需要。
I've talked about what's desperately necessary.
我已經說過什麼是迫切需要。
Let's talk about what's suddenly possible.
讓我們談談什麼是突然的可能。
What's suddenly possible was demonstrated by
在史丹佛大學的三堂大型課程
three big Stanford classes,
展示了什麼是突然的可能
each of which had an enrollment of 100,000 people or more.
每堂課招生了10 萬或更多人
So to understand this, let's look at one of those classes,
要理解這個,讓我們看看其中一堂課
the Machine Learning class offered by my colleague
我的同事所提供的機器學習課
and cofounder Andrew Ng.
與合夥 Andrew Ng。
Andrew teaches one of the bigger Stanford classes.
Andrew在史丹佛大學講授更大的一門課。
It's a Machine Learning class,
它是一門機器學習課,
and it has 400 people enrolled every time it's offered.
每次有 400 人報名。
When Andrew taught the Machine Learning class to the general public,
當Andrew對一般大眾講授機器學習
it had 100,000 people registered.
有 10 萬人登記
So to put that number in perspective,
從這個數字來看
for Andrew to reach that same size audience
以目前Andrew在史丹佛大學的課堂
by teaching a Stanford class,
要達到相同的聽眾數量
he would have to do that for 250 years.
他得花 250 年來完成
Of course, he'd get really bored.
當然,他會覺得單調乏味
So, having seen the impact of this,
了解了這樣的影響
Andrew and I decided that we needed to really try and scale this up,
Andrew與我認為需要嘗試將規模擴大
to bring the best quality education to as many people as we could.
給盡可能多的人帶來最好品質的教育。
So we formed Coursera,
所以我們打造了 Coursera
whose goal is to take the best courses
其目標是把最好的課程
from the best instructors at the best universities
最好的大學的最佳講師
and provide it to everyone around the world for free.
免費提供給在世界各地的每個人
We currently have 43 courses on the platform
我們的平臺上目前有 43 堂課程
from four universities across a range of disciplines,
從跨各種學科,四所大學
and let me show you a little bit of an overview
讓我給你看看
of what that looks like.
它會是像什麼樣子
(Video) Robert Ghrist: Welcome to Calculus.
(影片)Robert Ghrist:歡迎來到微積分
Ezekiel Emanuel: Fifty million people are uninsured.
Ezekiel Emanuel:5000 萬人沒有醫療保險。
Scott Page: Models help us design more effective institutions and policies.
Scott Page:模型幫助我們設計更有效的體制和政策
We get unbelievable segregation.
我們獲得令人難以置信的分隔
Scott Klemmer: So Bush imagined that in the future,
Scott Klemmer:所以布希想像,在未來
you'd wear a camera right in the center of your head.
你會在頭上戴上相機
Mitchell Duneier: Mills wants the student of sociology to develop the quality of mind ...
Mitchell Duneier:米爾斯希望社會學的學生的培養心理素質 ... ...
RG: Hanging cable takes on the form of a hyperbolic cosine.
RG: 懸掛電纜表現出雙曲餘弦函數
Nick Parlante: For each pixel in the image, set the red to zero.
Nick Parlante:對圖像中的每個像素,將紅色設置為零。
Paul Offit: ... Vaccine allowed us to eliminate polio virus.
Paul Offit: ... ...疫苗允許我們消除脊髓灰質炎病毒
Dan Jurafsky: Does Lufthansa serve breakfast and San Jose? Well, that sounds funny.
Dan Jurafsky: 漢莎航空提供早餐和聖荷西嗎?嗯,這聽上去很滑稽。
Daphne Koller: So this is which coin you pick, and this is the two tosses.
Daphne Koller: 所以這就是你挑選的那個硬幣,這是兩個拋擲
Andrew Ng: So in large-scale machine learning, we'd like to come up with computational ...
Andrew Ng:所以在大規模機器學習,我們想計算...
(Applause)
(掌聲)
DK: It turns out, maybe not surprisingly,
Daphne Koller:事實證明,或許不令人驚訝
that students like getting the best content
學生們喜歡從最好的大學
from the best universities for free.
免費得到最好的內容
Since we opened the website in February,
自今年 2 月,我們開放網站
we now have 640,000 students from 190 countries.
現在我們從 190 個國家有 64 萬名學生。
We have 1.5 million enrollments,
我們有 150 萬的登記註冊。
6 million quizzes in the 15 classes that have launched
在已推出的 15 堂課,共完成了 600 萬次小測驗
so far have been submitted, and 14 million videos have been viewed.
影片已有 1400 萬的觀看
But it's not just about the numbers,
但不只是數字方面
it's also about the people.
還有人的方面
Whether it's Akash, who comes from a small town in India
無論是來自於印度的一個小鎮阿喀許
and would never have access in this case
永遠沒辦法在這種情況下進入
to a Stanford-quality course
史丹佛這樣品質的課程
and would never be able to afford it.
也無法負擔得起
Or Jenny, who is a single mother of two
或是像詹妮,兩個小孩的單身母親
and wants to hone her skills
想要磨練自己的技能
so that she can go back and complete her master's degree.
這樣她才可以回去,完成她碩士學位
Or Ryan, who can't go to school,
或瑞恩,不能去學校
because his immune deficient daughter
因為他免疫缺陷的女兒
can't be risked to have germs come into the house,
不能冒險讓細菌進到房子裡
so he couldn't leave the house.
所以他不能離開家
I'm really glad to say --
我很高興地說 — —
recently, we've been in correspondence with Ryan --
最近,我們一直在與瑞恩通信
that this story had a happy ending.
這個故事有一個快樂的結局
Baby Shannon -- you can see her on the left --
嬰兒Shannon — — 你可以看到她在左邊 — —
is doing much better now,
現在過得更好
and Ryan got a job by taking some of our courses.
瑞恩藉由修習一些我們的課程,找到一份工作
So what made these courses so different?
是什麼讓這些課程如此不同?
After all, online course content has been available for a while.
畢竟,線上課程已經開始了好一陣子
What made it different was that this was real course experience.
使它不同的是這是真正的課程體驗
It started on a given day,
它在某一天開始
and then the students would watch videos on a weekly basis
學生們觀看每週的影片
and do homework assignments.
並且做家庭作業
And these would be real homework assignments
這些將是真正的作業
for a real grade, with a real deadline.
真正的評分,真正的繳交期限。
You can see the deadlines and the usage graph.
你可以看到繳交期限和使用率圖表
These are the spikes showing
這些峰值顯示了
that procrastination is global phenomenon.
拖延是全球性的現象
(Laughter)
(笑聲)
At the end of the course,
在課程的尾聲
the students got a certificate.
學生們獲得了證書
They could present that certificate
他們可以提出該證書
to a prospective employer and get a better job,
給潛在的雇主並得到更好的工作
and we know many students who did.
而我們知道很多學生做到了
Some students took their certificate
一些學生拿著他們的證書
and presented this to an educational institution at which they were enrolled
展示給他們申請入學的教育機構
for actual college credit.
做為實際大學學分
So these students were really getting something meaningful
所以這些學生從投資的時間和精力
for their investment of time and effort.
拿到了真正有意義的東西
Let's talk a little bit about some of the components
讓我們再談一點
that go into these courses.
在這些課程中的成份
The first component is that when you move away
第一個成份是
from the constraints of a physical classroom
當你移走實體課堂的約束
and design content explicitly for an online format,
和線上的格式,明確設計內容
you can break away from, for example,
例如,您可以中斷
the monolithic one-hour lecture.
獨立一小時的講座
You can break up the material, for example,
例如,你可以分解題材
into these short, modular units of eight to 12 minutes,
到 8 至 12 分鐘,短的模組化單元
each of which represents a coherent concept.
其中每個都代表一個連貫的概念
Students can traverse this material in different ways,
學生可以以不同的方式,閱歷這些題材
depending on their background, their skills or their interests.
取決於他們的背景、 技能或他們的興趣
So, for example, some students might benefit
例如,其他的學生可能已經學會的
from a little bit of preparatory material
先備題材
that other students might already have.
有些學生可以從中得到益處
Other students might be interested in a particular
其他的學生可能會特別感興趣於
enrichment topic that they want to pursue individually.
他們個別想要的豐富主題
So this format allows us to break away
所以這種格式使我們能夠
from the one-size-fits-all model of education,
突破統一給予的教育模型
and allows students to follow a much more personalized curriculum.
並允許學生有更多個人化的課程
Of course, we all know as educators
當然,我們都知道作為教育工作者
that students don't learn by sitting and passively watching videos.
學生無法光坐著,被動的觀看影片就能學習
Perhaps one of the biggest components of this effort
也許下的工夫中,最大的成份
is that we need to have students
是我們必須讓學生
who practice with the material
練習這些題材
in order to really understand it.
而真正學會它
There's been a range of studies that demonstrate the importance of this.
已有各種研究證明了這方面的重要性
This one that appeared in Science last year, for example,
例如,去年"科學"期刊中
demonstrates that even simple retrieval practice,
出現的這一展示 即使簡單的檢索的做法,
where students are just supposed to repeat
凡學生只被應該要重複
what they already learned
他們已經學到什麼
gives considerably improved results
給出很大的改善
on various achievement tests down the line
沿著這條線的各項成就測試
than many other educational interventions.
比許多其他教育干預行動。
We've tried to build in retrieval practice into the platform,
我們嘗試建立到平臺中
as well as other forms of practice in many ways.
以及其他形式的很多方面的實踐。
For example, even our videos are not just videos.
例如,即使我們的視頻不只是視頻。
Every few minutes, the video pauses
每隔幾分鐘,視頻暫停
and the students get asked a question.
與學生獲得問了一個問題。
(Video) SP: ... These four things. Prospect theory, hyperbolic discounting,
(視頻)SP: ... ...這四件事。前景理論、 雙曲線貼現,
status quo bias, base rate bias. They're all well documented.
現狀的偏見,基準利率的偏見。他們都很有文檔記錄。
So they're all well documented deviations from rational behavior.
所以它們都好有案可稽的偏差的理性行為。
DK: So here the video pauses,
DK: 這裡在暫停視頻,
and the student types in the answer into the box
和進框中的答案中的學生類型
and submits. Obviously they weren't paying attention.
並提交。很明顯他們沒注意。
(Laughter)
(笑聲)
So they get to try again,
所以他們得到再試一次,
and this time they got it right.
而這一次他們把它做對。
There's an optional explanation if they want.
如果他們想要,有一種可選的解釋。
And now the video moves on to the next part of the lecture.
現在視頻移動到下一部分的講座。
This is a kind of simple question
這是問題的一種簡單
that I as an instructor might ask in class,
我作為一名教師可能會問在類中,
but when I ask that kind of a question in class,
但是當我問這種問題在類中,
80 percent of the students
80%的學生
are still scribbling the last thing I said,
仍圖畫最後的一件事,我說,
15 percent are zoned out on Facebook,
在 Facebook 上的出劃為 15 %
and then there's the smarty pants in the front row
還有就是在前排的智者褲子
who blurts out the answer
誰忍不住出正確的答案
before anyone else has had a chance to think about it,
任何人都有機會去想它,之前
and I as the instructor am terribly gratified
作為教練我很欣慰
that somebody actually knew the answer.
實際上,有人知道答案。
And so the lecture moves on before, really,
因此,將講座上移動之前,真的,
most of the students have even noticed that a question had been asked.
大多數學生甚至已經注意到有人問。
Here, every single student
在這裡,每個單一的學生
has to engage with the material.
有接觸,這種材料。
And of course these simple retrieval questions
當然這些簡單檢索問題
are not the end of the story.
不是故事的結尾。
One needs to build in much more meaningful practice questions,
一個需要建立更多有意義的實踐問題,
and one also needs to provide the students with feedback
和一個還需要向學生提供的回饋
on those questions.
關於這些問題。
Now, how do you grade the work of 100,000 students
現在,您如何級 100,000 學生工作
if you do not have 10,000 TAs?
如果你不做有 10000 次左右 TAs 嗎?
The answer is, you need to use technology
答案是,您需要使用技術
to do it for you.
若要為你做。
Now, fortunately, technology has come a long way,
現在,幸運的是,技術已走過漫長的道路,
and we can now grade a range of interesting types of homework.
而我們現在可以品位一系列有趣的作業類型。
In addition to multiple choice
除了多項選擇
and the kinds of short answer questions that you saw in the video,
和你在視頻中,看到的簡短的回答問題的種類
we can also grade math, mathematical expressions
我們還可以級數學、 數學運算式
as well as mathematical derivations.
以及為數學進行派生。
We can grade models, whether it's
我們可以高檔機型,無論它是
financial models in a business class
在業務類中的財務模型
or physical models in a science or engineering class
或在科學或工程類中的物理模型
and we can grade some pretty sophisticated programming assignments.
並且我們可以品位一些相當複雜的程式設計任務。
Let me show you one that's actually pretty simple
讓我告訴你,其實很簡單
but fairly visual.
但相當視覺。
This is from Stanford's Computer Science 101 class,
這是來自斯坦福大學的電腦科學 101 類,
and the students are supposed to color-correct
和學生應該到正確的顏色
that blurry red image.
那模糊的紅色圖像。
They're typing their program into the browser,
他們正在瀏覽器中,鍵入他們的程式
and you can see they didn't get it quite right, Lady Liberty is still seasick.
你可以看到他們並沒有得到它很正確,自由女神是仍然暈船。
And so, the student tries again, and now they got it right, and they're told that,
所以,學生試和現在他們搞對了,他們就說,
and they can move on to the next assignment.
它們可以移動到下一個指派。
This ability to interact actively with the material
這與材料積極互動的能力
and be told when you're right or wrong
有人告訴你正確或錯誤時
is really essential to student learning.
對於真正至關重要的學生學習。
Now, of course we cannot yet grade
現在,當然我們不能沒有品位
the range of work that one needs for all courses.
其中一個需要所有課程的工作範圍。
Specifically, what's lacking is the kind of critical thinking work
具體而言,所缺少的是批判性思維工作的種類
that is so essential in such disciplines
這是很重要,因為這類紀律
as the humanities, the social sciences, business and others.
作為人文科學、 社會科學、 商業和其他人。
So we tried to convince, for example,
所以我們嘗試說服,例如,
some of our humanities faculty
一些我們人文學院
that multiple choice was not such a bad strategy.
多項選擇不是這種糟糕的策略。
That didn't go over really well.
這沒去過非常好。
So we had to come up with a different solution.
所以我們不得不拿出另一種解決方案。
And the solution we ended up using is peer grading.
而我們最終使用的解決方案是分級的同行。
It turns out that previous studies show,
原來,以前的研究顯示,
like this one by Saddler and Good,
像這樣的馬具又好了,
that peer grading is a surprisingly effective strategy
分級的同伴是非常有效的策略
for providing reproducible grades.
用於提供可重現的成績。
It was tried only in small classes,
它是只在審訊小班教學,
but there it showed, for example,
但那裡它顯示,例如,
that these student-assigned grades on the y-axis
y 軸上這些學生指定職系
are actually very well correlated
其實很好相關
with the teacher-assigned grade on the x-axis.
在 X 軸上的教師分配等級。
What's even more surprising is that self-grades,
更令人驚訝的是,self-grades,
where the students grade their own work critically --
學生批判 — — 高檔他們自己的工作
so long as you incentivize them properly
只要您賦予他們動機正確
so they can't give themselves a perfect score --
所以他們不能給自己一個完美的分數 — —
are actually even better correlated with the teacher grades.
相關教師職系的其實更好。
And so this is an effective strategy
所以這是一個有效的戰略
that can be used for grading at scale,
這可用於在規模、 分級
and is also a useful learning strategy for the students,
對於學生來說,也是一個有用的學習策略
because they actually learn from the experience.
因為他們實際上汲取的經驗。
So we now have the largest peer-grading pipeline ever devised,
因此,我們現在有過制定,最大的同行分級管道
where tens of thousands of students
那裡有成千上萬的學生
are grading each other's work,
在分級彼此的工作,
and quite successfully, I have to say.
和相當成功,我不得不說。
But this is not just about students
但這並不只是學生
sitting alone in their living room working through problems.
獨自一人坐在他們工作存在的問題通過的客廳裡。
Around each one of our courses,
圍繞我們的課程,每一個人
a community of students had formed,
成立了一個社區的學生,
a global community of people
一個全球社會的人
around a shared intellectual endeavor.
圍繞共同的智慧財產權努力。
What you see here is a self-generated map
你看到的是一個自創的映射
from students in our Princeton Sociology 101 course,
從在普林斯頓大學社會學 101 課程中學生
where they have put themselves on a world map,
在他們把自己在世界地圖上,
and you can really see the global reach of this kind of effort.
和你能看到,全球範圍的這種努力。
Students collaborated in these courses in a variety of different ways.
學生在這些課程中合作,在各種不同的方式。
First of all, there was a question and answer forum,
首先,有一問題和答案論壇
where students would pose questions,
凡學生會構成問題,
and other students would answer those questions.
和其他的學生來回答這些問題。
And the really amazing thing is,
真是不可思議的事情是,
because there were so many students,
因為有這麼多的學生,
it means that even if a student posed a question
這意味著即使學生提出的問題
at 3 o'clock in the morning,
在早上,3 上午
somewhere around the world,
世界各地的某個地方
there would be somebody who was awake
會有一個人是清醒的
and working on the same problem.
並對同一問題的工作。
And so, in many of our courses,
因此,在很多我們的課程,
the median response time for a question
提問的中位數的回應時間
on the question and answer forum was 22 minutes.
關於問題和答案論壇是 22 分鐘。
Which is not a level of service I have ever offered to my Stanford students.
它不是服務的我曾經向我的斯坦福大學學生提供水準。
(Laughter)
(笑聲)
And you can see from the student testimonials
你可以看到從學生感言
that students actually find
學生們其實發現
that because of this large online community,
是因為這個大型的線上社區,
they got to interact with each other in many ways
他們不得不在很多方面彼此交互
that were deeper than they did in the context of the physical classroom.
這是更深層次比他們在物理課堂的上下文中。
Students also self-assembled,
學生也自組裝,
without any kind of intervention from us,
沒有任何一種來自我們,干預
into small study groups.
成小研究組。
Some of these were physical study groups
其中有些是物理研究組
along geographical constraints
沿地域限制
and met on a weekly basis to work through problem sets.
並滿足每週工作通過組的問題。
This is the San Francisco study group,
這是三藩市研究組
but there were ones all over the world.
但也有的在世界各地。
Others were virtual study groups,
另一些人則虛擬研究組,
sometimes along language lines or along cultural lines,
有時沿線語言或文化線沿線
and on the bottom left there,
和底部丟在那裡,
you see our multicultural universal study group
你看到我們的多元文化的普遍研究組
where people explicitly wanted to connect
哪裡人明確地想要連接
with people from other cultures.
與來自其他文化的人。
There are some tremendous opportunities
有一些帶來巨大的商機
to be had from this kind of framework.
有這樣的框架。
The first is that it has the potential of giving us
第一,因為它給了我們的潛力
a completely unprecedented look
空前的外觀
into understanding human learning.
為理解人類的學習。
Because the data that we can collect here is unique.
因為我們可以在這裡收集的資料是唯一的。
You can collect every click, every homework submission,
您可以收集每一次點擊,每個作業提交
every forum post from tens of thousands of students.
成千上萬的學生從每個論壇帖子。
So you can turn the study of human learning
因此,您可以打開人類學習的研究
from the hypothesis-driven mode
從假說驅動模式
to the data-driven mode, a transformation that,
為數據驅動模式,轉變,
for example, has revolutionized biology.
例如,具有革命性的生物。
You can use these data to understand fundamental questions
您可以使用這些資料來瞭解基本的問題
like, what are good learning strategies
喜歡,有什麼好的學習策略
that are effective versus ones that are not?
與那些不是有效嗎?
And in the context of particular courses,
與特定課程,上下文中
you can ask questions
你可以問問題
like, what are some of the misconceptions that are more common
比如一些更為常見的誤解是什麼
and how do we help students fix them?
以及我們如何説明學生解決這些問題?
So here's an example of that,
所以這裡有一個例子,
also from Andrew's Machine Learning class.
此外從安德魯的機器學習類。
This is a distribution of wrong answers
這是一個錯誤的答案的分佈
to one of Andrew's assignments.
安德魯的任務之一。
The answers happen to be pairs of numbers,
答案碰巧是成對的號碼,
so you can draw them on this two-dimensional plot.
因此,您可以繪製它們對此二維的陰謀。
Each of the little crosses that you see is a different wrong answer.
每個小相交,您看到是不同的錯誤的答案。
The big cross at the top left
左上角的大十字架
is where 2,000 students
在 2,000 是學生
gave the exact same wrong answer.
給出確切的相同錯誤的答案。
Now, if two students in a class of 100
現在,如果兩個班 100
give the same wrong answer,
給出相同的錯誤答案,
you would never notice.
你從來不會注意。
But when 2,000 students give the same wrong answer,
但當 2 000 名學生給出相同的錯誤答案,
it's kind of hard to miss.
它是很難錯過。
So Andrew and his students went in,
因此安德魯和他的學生們走了進去,
looked at some of those assignments,
看著這些工作分配的一些
understood the root cause of the misconception,
理解的誤解,根本原因
and then they produced a targeted error message
然後產生一個有針對性的錯誤訊息
that would be provided to every student
這將提供給每個學生
whose answer fell into that bucket,
其答案掉進那桶、
which means that students who made that same mistake
這意味著那些作出相同的學生誤以為
would now get personalized feedback
現在將得到個人化的回饋
telling them how to fix their misconception much more effectively.
告訴他們如何更有效地解決他們的誤解。
So this personalization is something that one can then build
所以這個個人化設置是一個可以然後生成
by having the virtue of large numbers.
通過大量的美德。
Personalization is perhaps
也許是個人化設置
one of the biggest opportunities here as well,
其中一個最大的機會在這裡,
because it provides us with the potential
因為它將我們提供的潛力
of solving a 30-year-old problem.
解決今年 30 歲。
Educational researcher Benjamin Bloom, in 1984,
1984 年,教育研究員本傑明 · 布盧姆
posed what's called the 2 sigma problem,
構成了所謂的 2 西格瑪問題,
which he observed by studying three populations.
他觀察到的學習三個群體。
The first is the population that studied in a lecture-based classroom.
第一次是在一個基於講座的教室裡讀書的人口。
The second is a population of students that studied
第二種是人口的學習的學生
using a standard lecture-based classroom,
使用標準的基於講座的教室,
but with a mastery-based approach,
但有一種基於掌握方法,
so the students couldn't move on to the next topic
所以學生不能轉到下一個主題
before demonstrating mastery of the previous one.
前展示的前一個掌握。
And finally, there was a population of students
最後,有的學生人口
that were taught in a one-on-one instruction using a tutor.
這是教使用家教一對一教學中。
The mastery-based population was a full standard deviation,
基於掌握的人口是完整的標準差,
or sigma, in achievement scores better
或西格瑪,成績更好的
than the standard lecture-based class,
比標準基於講座的類,
and the individual tutoring gives you 2 sigma
個別輔導會為您提供 2 西格瑪
improvement in performance.
提高了性能。
To understand what that means,
要理解什麼這就意味著,
let's look at the lecture-based classroom,
讓我們看一下基於講座的教室,
and let's pick the median performance as a threshold.
並讓我們選擇作為一個閾值的中位數性能。
So in a lecture-based class,
所以在基於講座的類中,
half the students are above that level and half are below.
一半的學生都比這一水準,一半是下面。
In the individual tutoring instruction,
在個別輔導教學,
98 percent of the students are going to be above that threshold.
98%的學生都要高於這個門檻。
Imagine if we could teach so that 98 percent of our students
想像一下是否我們能教得那麼我們的學生,98%
would be above average.
將高於平均水準。
Hence, the 2 sigma problem.
因此,2 西格瑪問題。
Because we cannot afford, as a society,
因為作為一個社會,我們不能負擔
to provide every student with an individual human tutor.
每個學生提供個別的人類導師。
But maybe we can afford to provide each student
但也許我們能提供每個學生
with a computer or a smartphone.
用一台電腦或智慧手機。
So the question is, how can we use technology
所以問題,如何可以我們使用技術
to push from the left side of the graph, from the blue curve,
從左側的圖形,藍色的曲線,從推進
to the right side with the green curve?
右側的綠色曲線嗎?
Mastery is easy to achieve using a computer,
掌握很容易實現使用一台電腦,
because a computer doesn't get tired
因為電腦不會累
of showing you the same video five times.
顯示您的同一視頻五倍。
And it doesn't even get tired of grading the same work multiple times,
甚至會不會累的分級相同的工作多次,
we've seen that in many of the examples that I've shown you.
我們已經看到,在您展示的例子很多。
And even personalization
甚至個人化設置
is something that we're starting to see the beginnings of,
是我們開始看到的起源的東西
whether it's via the personalized trajectory through the curriculum
無論是通過透過課程的個人化的軌跡
or some of the personalized feedback that we've shown you.
或一些個人化的回饋,我們向您展示。
So the goal here is to try and push,
所以在這裡的目標是要試著推,
and see how far we can get towards the green curve.
看看多遠我們就能走向綠色的曲線。
So, if this is so great, are universities now obsolete?
所以,如果這是如此之大,現在大學已過時嗎?
Well, Mark Twain certainly thought so.
好吧,馬克 · 吐溫當然這樣認為。
He said that, "College is a place where a professor's lecture notes
他說,"大學是一個地方,凡教授的講座筆記
go straight to the students' lecture notes,
直接去學生聽課筆記
without passing through the brains of either."
不經過大腦的任一。"
(Laughter)
(笑聲)
I beg to differ with Mark Twain, though.
我謹與馬克 · 吐溫雖然不同。
I think what he was complaining about is not
我想什麼他一直在抱怨不
universities but rather the lecture-based format
而是基於講座的格式但大學
that so many universities spend so much time on.
所以許多大學上花這麼多時間。
So let's go back even further, to Plutarch,
所以讓我們回到更進一步,普魯塔克,
who said that, "The mind is not a vessel that needs filling,
誰說,"心靈是不需要填充的船隻
but wood that needs igniting."
但木材需要點燃。"
And maybe we should spend less time at universities
也許我們應該花更少的時間在大學和
filling our students' minds with content
我們的學生頭腦填充內容
by lecturing at them, and more time igniting their creativity,
由他們,和更多的時間,點燃他們的創造性講學
their imagination and their problem-solving skills
他們的想像力和解決問題的技巧
by actually talking with them.
由其實跟他們交談。
So how do we do that?
我們是怎麼做到的呢?
We do that by doing active learning in the classroom.
我們這樣做在教室裡的主動學習。
So there's been many studies, including this one,
所以有很多研究,包括這種,
that show that if you use active learning,
這表明,是否您使用主動的學習,
interacting with your students in the classroom,
與你在教室裡的學生進行交互
performance improves on every single metric --
性能提高了對每個單一的衡量標準 — —
on attendance, on engagement and on learning
關於出席、 參與和學習
as measured by a standardized test.
衡量的標準化考試。
You can see, for example, that the achievement score
您可以看到,例如,成績分數
almost doubles in this particular experiment.
在這個特定的實驗幾乎兩倍。
So maybe this is how we should spend our time at universities.
所以也許這是大學如何應安排我們的時間。
So to summarize, if we could offer a top quality education
因此,總結一下,如果我們能提供最高品質的教育
to everyone around the world for free,
世界各地的每個人都免費,
what would that do? Three things.
那該怎麼辦?三件事。
First it would establish education as a fundamental human right,
首先,它將建立教育作為一項基本人權,
where anyone around the world
凡任何人在世界各地
with the ability and the motivation
與能力和動機
could get the skills that they need
能得到他們所需的技能
to make a better life for themselves,
若要為他們自己,做出更好的生活
their families and their communities.
他們的家庭和他們的社區。
Second, it would enable lifelong learning.
第二,它將使終身學習。
It's a shame that for so many people,
遺憾的是,這麼多人,
learning stops when we finish high school or when we finish college.
當我們完成高中教育或我們上完大學,就會停止學習。
By having this amazing content be available,
通過此令人驚異的內容可供選擇,
we would be able to learn something new
我們將能夠學習新的東西
every time we wanted,
每次我們想,
whether it's just to expand our minds
是否只是為了擴大我們的頭腦
or it's to change our lives.
或者是要改變我們的生活。
And finally, this would enable a wave of innovation,
最後,這將使波創新浪潮,
because amazing talent can be found anywhere.
因為驚人的人才可以找到任何地方。
Maybe the next Albert Einstein or the next Steve Jobs
也許下一次的阿爾伯特愛因斯坦或下一步的史蒂夫 · 約伯斯
is living somewhere in a remote village in Africa.
在偏遠的村莊在非洲某個地方住。
And if we could offer that person an education,
如果我們能向該人提供教育、
they would be able to come up with the next big idea
他們將能夠想出下一步的大主意
and make the world a better place for all of us.
並讓世界為我們所有人更好的地方。
Thank you very much.
謝謝。
(Applause)
(掌聲)