摘要
随着人工智能技术的不断发展,大型语言模型(LLM)在教育领域的应用日益广泛。文章以医学专业本科生流行病学课程为对象,探讨了基于ChatGPT、Claude、文心一言等多平台大语言模型的个性化教学实践。梳理了个性化教学的理论基础及大语言模型赋能教育的背景,设计了将LLM融合于流行病学课堂的教学策略与教学模式,提出了具体的实施路径和典型教学活动方案,并通过案例模拟分析教学效果与学生反馈。结果显示,合理应用LLM能够提升流行病学教学的互动性与针对性,有助于培养学生的自主学习与临床思维能力。
With continuous advancement of artificial intelligence,large language models(LLM)have been increasingly applied in the educational field.The author explored personalized learning in the course of epidemiology for undergraduates,using multiple LLM platforms of ChatGPT,Claude,and ERNIE Bot.The author first reviews the theoretical foundation of personalized learning and the educational applications of LLM,then suggests teaching strategies and models that can integrate LLM into the teaching of epidemiology,proposes implementation pathways and teaching plan,and analyzes the teaching outcomes and feedback from students with simulation cases.The results indicate that appropriate use of LLM can enhance the interactivity and pertinence in the teaching of epidemiology and help develop autonomous learning and clinical reasoning skills in the students.
作者
韦吴迪
WEI Wudi(AIDS Research Center,Institute of Life Sciences,Guangxi Medical University,Nanning 530021,China)
出处
《基础医学教育》
2025年第11期1074-1078,共5页
Basic Medical Education
基金
国家自然科学基金青年项目(82302550)
广西自然科学基金重点基金资助项目(2025GXNSFDA069044)
广西医科大学一流学科创新驱动人才计划基金资助项目。
关键词
流行病学
教学改革
大语言模型
个性化教学
教学策略
人工智能
epidemiology
teaching reform
large language model
personalized learning
teaching strategy
artificial intelligence
