If you have multiple explanations for a concept, then on a fraction epsilon of users, randomize the order in which they’re displayed to collect statistical data about which explanation they first found enlightening, then for most users, display the explanations in their order of expected chance of being grokked.
Don’t restrict yourself to explanations. Propose different teaching methods.
Include expected reading time and score for each explanation (like LW).
Criticism:
How do you distinguish feeling of epiphany and grokking?
How do you distinguish feeling of epiphany and grokking?
Good point, I haven’t really done that here. We could differentiate by e.g. having practice-problems, and people can login to track their progress. Similar to the multi-explanations/teaching-methods setup, there could be a broad variety of example problems --> less likely someone gets lots of them right without actually understanding the concept.
It sounds like an excellent foundation.
Ideas for improvement:
If you have multiple explanations for a concept, then on a fraction epsilon of users, randomize the order in which they’re displayed to collect statistical data about which explanation they first found enlightening, then for most users, display the explanations in their order of expected chance of being grokked.
Don’t restrict yourself to explanations. Propose different teaching methods.
Include expected reading time and score for each explanation (like LW).
Criticism:
How do you distinguish feeling of epiphany and grokking?
These ideas seem promising!
Good point, I haven’t really done that here. We could differentiate by e.g. having practice-problems, and people can login to track their progress. Similar to the multi-explanations/teaching-methods setup, there could be a broad variety of example problems --> less likely someone gets lots of them right without actually understanding the concept.