Striking analogy between the mnemonic medium and supervised learning. Makes me think about analogies to things done in supervised learning: adding noise to the data (questions) to improve generalization; changing the loss function (overall scoring), etc. Fun to think about!https://twitter.com/mlpowered/status/1217892894075260928 …
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(I mean, that's the main theory of how the testing effect works, you know: laying down multiple memory traces with each fetch-and-encode review increases the probability of later successful recall.)
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But with different materials, the testing effect works even for one set right?
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Also helps to get a sense of how robust the literature is and how much debate is there.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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