There’s no reason why 30 students should sit in a classroom and be lectured on the same thing at the same time at the same pace when everyone learns differently. There’s no reason why the tens of thousands of algebra classes are each being reinvented right now across the country by teachers of variable skill levels. There’s no reason why college students should go into hundreds of thousands of dollars of debt for courses and a diploma that may not take them where they want to go. And there’s no reason why teachers should waste time conveying materials that can easily be found online, when instead they could be inspiring students to be curious, discover themselves, and apply what they learn.
Despite how huge the education market is (estimated at $750b in the US alone), many VCs are afraid to invest in ed-tech because there was a lot of ‘road kill’ in the space after the dot-com bust. But much has changed in the past decade: the addressable market has expanded dramatically (10x more people are online, have 10x as fast connections, and are connected at least 10x as much), and we’ve recently seen a proliferation of internet-enabled mobile devices, data storage and processing innovations, and the spread of open source content that have brought about great efficiencies in content distribution, consumption, and production.
There are a great diversity of opportunities to innovate in the education realm. On the learning side, we need to create new ways to make it:
Fun. All physics lessons should be as fun as Angry Birds.
Ubiquitous. I should be able learn anywhere and everywhere, taking full courses on my iPhone or any other device.
Adaptive / Customized. Machines should learn how I learn and teach in a way that works best for me.
Good questions at the beginning against industrial mass productive age modes and thinking and three key ideas: fun, ubiquitous and adaptive