AI as Teammate: Rethinking Task Distribution in Medical Training
3.00T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.28373.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryProposes the SCAN framework (Substitute, Complement, Aid, Non-Negotiable) for allocating clinical reasoning tasks between medical learners and generative AI. Reframes learner difficulty as misclassification of interaction mode rather than misuse, and identifies passive engagement as a detection-resistant path to mis-skilling.
Why it mattersNames a concrete failure pattern (passive engagement in correctly scaffolded tasks) and supplies a testable decision vocabulary. Useful for educators and curriculum designers, though the framework is conceptual and unvalidated.
Cited by
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