Application of Large Language Models in the Teaching of Traditional Chinese Medicine Diagnostics
As an essential course in traditional Chinese medicine(TCM),diagnostics in TCM presents challenges to traditional teach-ing methods due to its complex theoretical system and highly practical nature.The current teaching model mainly relies on classroom lec-tures and clinical internships,which suffer from low student engagement and limited practical resources.Large language models(LLMs)can significantly enhance students'grasp of theoretical knowledge and practical skills,while also boost learn enthusiasm and self-directed learning abilities.By providing a personalized learning experience and rich virtual practice resources,students can gain a deeper understanding of the complex theoretical system of TCM diagnostics and accumulate clinical experience in a simulated environ-ment.This study elucidates the technical foundation and advantages of LLMs,proposes ideas for teaching reform using LLMs,and dem-onstrates their specific applications in personalized tutoring,virtual case generation,and simulated diagnostic training through practical application cases.It emphasizes the importance of diversified curriculum design and teaching methods,faculty training,and technical support,advocating for the full utilization of LLMs through flexible and diverse course designs and interactive teaching methods.Further-more,it explores the integration of LLMs with virtual reality(VR)and augmented reality(AR)technologies to develop intelligent learn-ing platforms,providing more precise personalized tutoring and feedback,to provide a reference for the application of LLMs in TCM diag-nostics education.
TCM diagnosticsLarge language modelsAssisted teaching
NETL
NSTL
万方数据
