diburina.bsky.social
Universidad de Buenos Aires - CONICET Collaborating with PsySciAcc, ABRIRpsy, MetaDocencia Working memory, metacognition, multimedia comprehension R, open science
👤 Joined on 22 September 2023
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Most of the empirical research on "retail" GenAI (e.g., ChatGPT, Gemini, Claude) effects on learning is garbage due to poor design, poor measures, or conflation of learning and performance, as this article describes well. (3/x) onlinelibrary.wiley.com/doi/10.1111/...
Show Post🧠🧵 New paper accepted at @jocn.bsky.social! Led by @amyqixx.bsky.social We found that memory traces carry an "echo" of how they were last accessed: the way you retrieve a concept leaves a measurable signature in the brain the next time you recognize it. doi.org/10.1162/JOCN... 1/9
Show PostAI-generated papers are getting scarily good. I’m looking at one that might have seemed impressive if the authors hadn’t had the misfortune to have me, author of the dataset they claimed to have used, as reviewer. Reviewing is hard enough without having to consider if you’re dealing with fiction
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