Look at the entire teaching/learning process
Break down into mutually independent pieces
Find intervention variables and their effect sizes
Combine variables to achieve intended two sigma improvement
A - Learner
B - Instructional material
C - Home environment/peer group
D - Teachers and teaching process
Lots of people thought that with widescale access to internet, just making content would be enough.
This led to the MOOC movement which wasn't as impactful as the promise it showed.
This article is a good read on what was expected vs what happened.
Instead of less tutors and less teaching jobs we have more now.
Bloom's problem is focused more on significant improvement in summative achievement.
This article explains why ed tech might be heading in the wrong direction.
Apprenticeship based learning enabled by tech
Access to more people and best teachers, overcome remote work issues, faster feedback and corrective actions, personalized prerequisites work for students, easier self selection of peers.
The latter is important because it allows lambda to do what they do.
Traditional education has no skin in the game and perverse incentives.
- best teachers
- cooperative learning
- hungry students
- mastery learning
- extensive TA support
These variables have high effect sizes.
Sure there's more under the hood that @AustenAllred knows
@AustenAllred has told us that there's more to come from lambda than just cs grads - datasci, even sales.
Excited to see what's in store.