LLM-driven personalization of CS1 RegEx worksheets based on learner profiles raises completion to over 99% and boosts correctness by 18.2% for at-risk students while preserving perceived difficulty.
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A self-regulated GenAI contract changed thinking for 58% of 217 students but did not produce sustained behavior change because maintaining personal guidelines required ongoing self-control that many could not sustain under pressure.
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Beyond One-Size-Fits-All Exercises: Personalizing Computer Science Worksheets with Large Language Models
LLM-driven personalization of CS1 RegEx worksheets based on learner profiles raises completion to over 99% and boosts correctness by 18.2% for at-risk students while preserving perceived difficulty.
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Self-Regulated Personal Contracts as a Harm Reduction Approach to Generative AI in Undergraduate Programming Education
A self-regulated GenAI contract changed thinking for 58% of 217 students but did not produce sustained behavior change because maintaining personal guidelines required ongoing self-control that many could not sustain under pressure.