[ran3000]

Yes, that reminds me of knowledge tracing and methods like 1PL-IRT.

I think you can do both and get even better results. The main limitation is that the same flashcards must be studied by multiple students, which doesn't generally apply.

I also love the idea of the market, you could even extend it to evaluate/write high-quality flashcards.

[pessimizer]

> The main limitation is that the same flashcards must be studied by multiple students, which doesn't generally apply.

I think only a kernel of the same flashcards, because in my mind new cards would quickly find their position after being reviewed a few times, and might displace already well-known cards. I see the process as throwing random cards at students, seeing what's left after shaking the tree, and using that info to teach new students.

The goal, however, would definitely be a single standard but evolving set of cards that described some group of related ideas. I know that's against Supermemo/Anki gospel, but I've gotten an enormous amount of value out of engineered decks such as https://www.asiteaboutnothing.net/w_ultimate_spanish_conjuga....

> I also love the idea of the market, you could even extend it to evaluate/write high-quality flashcards.

It's been my idea to drive conversational spaced repetition with something like this.

[ran3000]

I would be valuable for shared decks, like the one you mentioned. As far as I can tell, the majority of Anki users are medical school students or language learners. Both groups benefit from shared decks. So I think it's a good idea to pursue.

My personal interest is more on conceptual knowledge, like math, cs, history or random blog posts and ideas. It's often the case that, on the same article, different people focus different things, so it would be hard to collect even a small number of reviews on a flashcard you want to study.