I know the flashcard feature is a big selling point for Scholarcy, and I've given it a fair shot across several research projects. But I've come to the conclusion that it's not actually effective for deep, long-term learning. It feels more like a superficial check-box.
The process of automatically generating flashcards from highlights creates a few key problems:
* **It encourages passive review.** I found myself just flipping through cards I didn't truly create, which led to quick recognition rather than active recall. The mental effort of crafting the question myself is where the real learning happens.
* **Lacks necessary context.** A flashcard with a term and its auto-extracted definition often strips away the nuance, examples, and connections from the surrounding paragraphs. This can lead to a false sense of mastery.
* **It doesn't scale or connect concepts.** For a complex literature review, I ended up with hundreds of disjointed cards. There's no way to link related ideas from different papers or build a conceptual framework, which is the actual goal.
Where Scholarcy shines for me is in the initial digestion and structuring of information—the summary flashtext and the knowledge matrix are invaluable for breaking down papers quickly. But for the actual *learning* phase, I've had much better results exporting the highlights and summaries to a dedicated spaced-repetition system like Anki, where I manually create cards that force me to synthesize information.
Has anyone else moved away from the built-in flashcards? I'm curious if you've found a better workflow for getting Scholarcy's output into a more robust learning system.