叙述的
不当行为
工程伦理学
心理学
医学
政治学
工程类
哲学
语言学
法学
作者
Trista M. Benítez,Y. Xu,J. Donald Boudreau,Alfred Wei Chieh Kow,Fernando Bello,Le Van Phuoc,Xiaofei Wang,Xiankai Sun,Gilberto Ka Kit Leung,Yanyan Lan,Yaxing Wang,Davy Cheng,Yih Chung Tham,Tien‐Yin Wong,Kevin C. Chung
标识
DOI:10.1093/jamia/ocad252
摘要
To provide balanced consideration of the opportunities and challenges associated with integrating Large Language Models (LLMs) throughout the medical school continuum.Narrative review of published literature contextualized by current reports of LLM application in medical education.LLMs like OpenAI's ChatGPT can potentially revolutionize traditional teaching methodologies. LLMs offer several potential advantages to students, including direct access to vast information, facilitation of personalized learning experiences, and enhancement of clinical skills development. For faculty and instructors, LLMs can facilitate innovative approaches to teaching complex medical concepts and fostering student engagement. Notable challenges of LLMs integration include the risk of fostering academic misconduct, inadvertent overreliance on AI, potential dilution of critical thinking skills, concerns regarding the accuracy and reliability of LLM-generated content, and the possible implications on teaching staff.
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