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Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
Dialogue: 0,0:00:00.39,0:00:04.14,Default,,0000,0000,0000,,So, how fast will these studies trickle to\Nimprovements on
Dialogue: 0,0:00:04.14,0:00:08.33,Default,,0000,0000,0000,,the MOOC format, or even improvements in\Neducation in general?
Dialogue: 0,0:00:08.33,0:00:10.86,Default,,0000,0000,0000,,Well, pretty fast, I would say.
Dialogue: 0,0:00:10.86,0:00:13.49,Default,,0000,0000,0000,,To explain this, I'll need to describe how\Nstartups work.
Dialogue: 0,0:00:14.77,0:00:17.50,Default,,0000,0000,0000,,Here's the startup iteration cycle.
Dialogue: 0,0:00:17.50,0:00:22.40,Default,,0000,0000,0000,,We see that we have a product, such as the\NCoursera portal for Coursera.
Dialogue: 0,0:00:22.40,0:00:25.27,Default,,0000,0000,0000,,It can be used to measure all kinds of\Ndata.
Dialogue: 0,0:00:25.27,0:00:28.03,Default,,0000,0000,0000,,That could be via A/B testing, for\Ninstance,
Dialogue: 0,0:00:28.03,0:00:30.45,Default,,0000,0000,0000,,as I just explained, or maybe using other
Dialogue: 0,0:00:30.45,0:00:33.69,Default,,0000,0000,0000,,metrics, enrollment in a course or the\Nclick-through
Dialogue: 0,0:00:33.69,0:00:36.44,Default,,0000,0000,0000,,on emails that have been sent to the\Nstudents.
Dialogue: 0,0:00:36.44,0:00:38.46,Default,,0000,0000,0000,,Armed with all this data, the startup
Dialogue: 0,0:00:38.46,0:00:40.98,Default,,0000,0000,0000,,engineers can learn about areas that would\Nneed
Dialogue: 0,0:00:40.98,0:00:46.23,Default,,0000,0000,0000,,improvement, and they can generate new\Nideas and things to do and build that in.
Dialogue: 0,0:00:46.23,0:00:48.83,Default,,0000,0000,0000,,The whole cycle is not groundbreaking,\Nsure.
Dialogue: 0,0:00:48.83,0:00:50.23,Default,,0000,0000,0000,,I'm not claiming it is.
Dialogue: 0,0:00:50.23,0:00:53.28,Default,,0000,0000,0000,,The difference is that this cycle is not\Nbothered
Dialogue: 0,0:00:53.28,0:00:56.32,Default,,0000,0000,0000,,by the usual very slow methodology of\Neducation research.
Dialogue: 0,0:00:57.72,0:01:01.68,Default,,0000,0000,0000,,Sure, this data can be spun off into\Npapers, and that's what education
Dialogue: 0,0:01:01.68,0:01:06.31,Default,,0000,0000,0000,,researchers have to do, are currently\Ndoing, because that's what their job is.
Dialogue: 0,0:01:06.31,0:01:08.28,Default,,0000,0000,0000,,But, by the time those studies are
Dialogue: 0,0:01:08.28,0:01:11.14,Default,,0000,0000,0000,,published, the engineers will have already\Ngone
Dialogue: 0,0:01:11.14,0:01:13.86,Default,,0000,0000,0000,,through several iterations of this cycle,\Nand
Dialogue: 0,0:01:13.86,0:01:17.12,Default,,0000,0000,0000,,the newly published results will already\Nbe obsolete.
Dialogue: 0,0:01:17.12,0:01:21.19,Default,,0000,0000,0000,,They'll, they will already have improved\Nthe platform.
Dialogue: 0,0:01:21.19,0:01:25.88,Default,,0000,0000,0000,,The big, big, difference with five years\Nago is that now education is the next area
Dialogue: 0,0:01:25.88,0:01:28.69,Default,,0000,0000,0000,,where software engineers can make an\Nimpact, and
Dialogue: 0,0:01:28.69,0:01:31.70,Default,,0000,0000,0000,,hundreds are working on making it more\Nefficient.
Dialogue: 0,0:01:31.70,0:01:36.48,Default,,0000,0000,0000,,This is completely new, and you can expect\Nit to show effects very, very fast.
Dialogue: 0,0:01:37.53,0:01:40.28,Default,,0000,0000,0000,,Just as for many other industries that you\Nknow of,
Dialogue: 0,0:01:40.28,0:01:43.69,Default,,0000,0000,0000,,such as the book industry, the travel\Nindustry, et cetera.