Evaluation of the impact of AI-driven personalized learning platform on medical students’ learning performance

AI-driven personalized learning platforms (AI-PLPs) significantly enhance medical students' learning outcomes, classroom engagement, and self-directed learning abilities through dynamic resource adaptation, affective computing, and behavioral data analysis. The study confirms artificial intelligence's potential in medical education to balance knowledge delivery and competency cultivation, though its long-term effects and ethical risks require further validation. Future directions include multicenter large-sample studies, longitudinal tracking, and interdisciplinary applications to advance the intelligent transformation of educational models.