評論
打印
But what if that estimate is just based on your own experience in a non-mastery framework,
但假如那些判斷僅僅是基于你們“非掌握體系”的個人經驗，
your own experience with yourself or observing your peers,
是基于你們的自身經歷或僅是對周圍人的觀察而已呢？
where you're being pushed at this set pace through classes, accumulating all these gaps?
或是基于被迫跟從課堂進度，不斷積累漏洞情況的呢？
Even when you got that 95 percent, what was that five percent you missed?
即使你掌握了95%的知識，那剩下的5%呢？
And it keeps accumulating -- you get to an advanced class, all of a sudden you hit a wall and say,
漏洞持續積累，直到進入高等課堂，突然碰壁，然后你們說：
"I'm not meant to be a cancer researcher; not meant to be a physicist; not meant to be a mathematician."
“我生來就不是個癌癥研究人員，我不是做物理學家的料，我當不了數學家?！?/div>
I suspect that that actually is the case, but if you were allowed to be operating in a mastery framework,
我認為這就是現實情況。但當我們能夠從掌握知識的視角去審視，
if you were allowed to really take agency over your learning,
如果我們能夠從培養學習動力的角度來看，
and when you get something wrong, embrace it -- view that failure as a moment of learning
當我們做錯題目的時候，我們把這種失敗當作學習的一部分坦然接受，
that number, the percent that could really master calculus or understand organic chemistry, is actually a lot closer to 100 percent.
那真正掌握微積分或者有機化學的人數比例就會接近100%了。
And this isn't even just a "nice to have." I think it's a social imperative.
而其意義并不僅僅在于錦上添花。我認為這是社會進化的必然過程。
We're exiting what you could call the industrial age and we're going into this information revolution.
用你們的話來說，我們正處于一個工業時代，而我們正在進入信息革命的時代。
And it's clear that some things are happening. In the industrial age, society was a pyramid.
很明確的是，一些變化正在發生。在工業時代，社會是一個金字塔。
At the base of the pyramid, you needed human labor.
在金字塔底端，我們需要的是人力。
In the middle of the pyramid, you had an information processing, a bureaucracy class,
在金字塔中間，我們需要處理信息，所以有官僚特權階層，
and at the top of the pyramid, you had your owners of capital and your entrepreneurs and your creative class.
等到了頂端，就會是那些資本家，企業家，還有創新人群。
But we know what's happening already, as we go into this information revolution.
但當我們進入信息革命的那一刻，我們就知道將要發生什么事了。
The bottom of that pyramid, automation, is going to take over.
在金字塔底端，自動化將取代人力。
Even that middle tier, information processing, that's what computers are good at.
甚至中間層信息處理的這一段計算機做的都比他們好。
