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I left 's patreon because he was on his own thinking, didn't engage and take suggestions. I told him about retrieval practice, never seen him change. There are tons of real scientific researchers why believing to an amateur? cuz he comes from software community?
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I was curious what you wrote but a search turned up no comments/messages from you on Patreon (likely their bug!)—do you happen to remember what post you commented on?
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Must have been around end of August 2020. Patreon don't let me go so far. Once you unsupport all archive is gone. I'm not sure if my feedback went as a comment on a post, a tweet or elsewhere.
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my feedback was essentially asking why u are so focused on spaced repetition & didn't explore other ways like retrieval practice or generation. Was short. A few months later you explained (a post or talk) that you will engage more w/ your sponsors but I was on my way out anyway
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Thanks for looking—I can't find it on either Twitter or Patreon. One curiosity: spaced repetition (at least as I've been working with it) necessarily involves retrieval practice; in fact, that's the mechanism at play. Is there some other sense of that phrase you mean?
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I don't agree. SR is a special case of space practice but retrieval practice is a lot more general and don't imply repetition. You could very well vary retrieval practice. One time check terms/definition, another time retrieval and again later generation and finally an MQ.
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SR works very on terms,unequivocal Q/A like extending foreign language vocabulary, acquiring jargon or exact definitions. I used flashcards a lot for all those purposes. but two/three main drawbacks ...
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1/ Knowledge is rarely forgotten completely, what is forgotten is the index, the key. The way you learn (ex: list of formulas) is rarely the same you will use to retrieve it at the time of apply. Multiplying the pathways that leads to K is essential. SR don't encourage that ...
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2/ Preparing cards takes time and is limited to the understanding at that time. Time better used at enlarging your knowledge to understand deeper ( like reading examples of use, or how it became so).
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3/ SR encourage narrow views. One problem, one answer in isolation of the context, the history, prior and future knowledge or gaps. Generation and retrieval overcome that.
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there are use cases for sure. But a lot less than people in tft advocate. I think the last objection is that it's easy to code. So for software vendors it's an easy answer, box checked. No need to look further. work serves as a cover, a validation, sad.
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