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.
InProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1(Melbourne, VIC, Australia)(ICER ’24)
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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.