An Adaptive Medical Virtual Simulation Training System Based on Deep Reinforcement Learning: Multi-modal Learner Modelling and Empirical Evaluation of Pedagogical Effectiveness

Abstract excerpt

<title>Abstract</title> <p>Background. Virtual simulation (VS) is now a structural component of contemporary medical education, yet the predominant non-adaptive delivery model fails to accommodate substantial heterogeneity in learners' prior knowledge, working memory load, and engagement. Deep reinforcement learning (DRL) provides a principled framework for sequential pedagogical decision-making, but rigorous emp...

Topics

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• Catechol O-Methyltransferase
• Learning
• Memory, Short-Term
• Models, Neurological
• Photic Stimulation
• Psychomotor Performance
• Receptors, G-Protein-Coupled
• Reinforcement, Psychology

Identifiers and source

Literature Corpus work

ce317092-a6b6-53a8-8c2b-4d5d51e39e6a

DOI

10.21203/rs.3.rs-9662209/v1