Flawed but Memorable: Student Critical Reception of Interest-Personalized GenAI Analogies in Computing Education
This work investigates how students evaluate the accuracy, appropriateness, and assumptions in GenAI-generated analogies, and their perceptions of interest-personalized versus generic technical explanations, and describes interest-personalized analogies as more engaging or memorable than generic technical explanations.
Seth Bernstein, Naaz Sibia
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