In "Quantum mechanics distilled," @michael_nielsen and I introduce application prompts, which have you use what you've learned to solve a problem. You won't be able to answer from memory but they're light enough to solve in your head. https://quantum.country/qm
A fun data point:
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The mnemonic medium relies heavily on the "lightness" of it and relative fungibility of its prompts, so we'll need to walk a careful line as we push on these more elaborate types of questions. If you've read the new essay, let us know about your experience with the prompts!
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Wrote some notes on this topic this morning: https://notes.andymatuschak.org/z7U6zXNGgTz1aEpRDUe6eMxotrhK4tmgprcxh …https://twitter.com/HigherMathNotes/status/1243676191988436993?s=20 …
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Doesn’t the lower success rate of a question that requires more thought, less automaticity, imply trouble regarding the robustness of their learning?
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Namely, if the readers, having gone through the essay and using the mnemonic medium, aren’t able to answer that aplication prompt, then can they be considered has having attained a robust level of understanding of the material (what I have called semantic learning in my notes)?
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