How to reinforce insights from problem solving?

If you’re studying a textbook like University Physics - Young and Freedman, we have some idea of how to encode the conceptual material’s explication into Spaced repetition memory system prompts. So you’ll know what flux is, conceptually, and you won’t forget Gauss’s law. But it’s not enough to merely read the explication and practicing questions about its contents. You really do need to work through the examples and the problems. Lots of insights and understandings emerge in that context which don’t emerge when you’re just reading.

What’s going on here? What, specifically, is learned? How can we reinforce that learning—not only make sure it sticks but to deepen the understanding over time?

Michael Nielsen’s “Using spaced repetition to see through a piece of mathematics” addresses a related question. ==TODO expand==