Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
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Apriori mining of math tutoring logs shows skipping without hints strongly associates with unsolved problems, with high-LH students exhibiting more avoidance than low-LH students.
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Confidence Without Competence in AI-Assisted Knowledge Work
Standard LLM chats produce high perceived understanding but low objective learning in students, while future-self explanations best align confidence with actual gains and guided hints maximize learning with moderate workload.
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Apriori-based Analysis of Learned Helplessness in Mathematics Tutoring: Behavioral Patterns by Level, Intervention, and Outcome
Apriori mining of math tutoring logs shows skipping without hints strongly associates with unsolved problems, with high-LH students exhibiting more avoidance than low-LH students.