大模型智能体在中医药教育应用中的SWOT分析OA

Using the SWOT analytical framework,this study systematically examines the strengths,weaknesses,opportunities,and potential risks associated with the application of large model agents in traditional Chinese medicine(TCM)education.On this basis,corresponding optimization strategies are proposed to enhance the effectiveness and depth of application of large model agents in TCM education.Build a specialized knowledge graph tailored for TCM,enhance students'self-motivation and independence;balance technological applications with traditional education,foster cross-disciplinary interactions and emotional exchanges between students and teachers;implement standardized measures and evaluation systems to enhance the quality of medical knowledge,while also addressing technical ethics and data security risks as optimization strategies.The study aims to provide a reference for promoting the high-quality development of traditional Chinese medicine education in the context of intelligent and digital transformation.