So Michael Nielsen, again, produces a thing that is amazing, in collaboration with Andy Matuschak. It's an intro to quantum computation, with more topics to follow, with a built in "mnemonic medium". It is text and images and explanation, interspersed with Anki-style spaced-repetition cards to aid in remembering what has been read. With an account, you can store your progress with the cards and build up a spaced-repetition routine to memorize the content.
It's really cool, and it does one part of what I was thinking about in my essay about an Active Reading Example. Here's the rest of what I want out of it:
- automatic syncing of the cards with an Anki account, so the new material can be integrated into a regular spaced-repetition system
- integration with a highlighting, note-taking, and quizzing system. Can this be done with hypothes.is?
- can hypothesis notes be seamlessly exported into a notes document, where the in-text context is maintained through links, but the body of the notes can be read as a coherent whole?
The Learning Scientists page describes six main strategies for deep learning of new material: spaced practice (that's the Anki), retrieval practice, elaboration, interleaving, concrete examples, and dual coding. What I want is a tool into which content can be imported, and then tools for all six strategies are placed invitingly to be used as the content is read/watched/consumed/learned, and then there's additional tools for creation of mashups and other derivative work.