基于ChatGPT的学习：医学教育中的生成式人工智能
ChatGPT-Based Learning: Generative Artificial Intelligence in Medical Education.
作者信息
Stretton Brandon, Kovoor Joshua, Arnold Matthew, Bacchi Stephen
机构信息
Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, SA 5000 Australia.
出版信息
Med Sci Educ. 2023 Nov 8;34(1):215-217. doi: 10.1007/s40670-023-01934-5. eCollection 2024 Feb.
Abstract
UNLABELLED
Large language models like ChatGPT are a type of machine learning model that can offer a positive paradigm shift in case-based/problem-based learning (CBL/PBL). ChatGPT may be able to augment the existing paradigm to work in conjunction with the clinical-teacher in PBL/CBL case generation. It can develop realistic patient cases that could be revised by clinical teachers to ensure accuracy and relevance. Further, it can be directed to include specific case content in order to facilitate the constructive alignment of the case with the broader learning objectives of the curriculum. There is also the possibility of improving engagement by 'gamifying' CBL/PBL.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s40670-023-01934-5.
摘要
未标注
像ChatGPT这样的大语言模型是一种机器学习模型，它可以在基于案例/基于问题的学习（CBL/PBL）中带来积极的范式转变。ChatGPT或许能够拓展现有范式，以便在PBL/CBL案例生成中与临床教师协同工作。它可以生成现实的患者案例，临床教师可以对这些案例进行修订，以确保准确性和相关性。此外，可以指导它纳入特定的案例内容，以便促进案例与课程更广泛学习目标的建设性匹配。通过将CBL/PBL“游戏化”，还有可能提高参与度。
补充信息
在线版本包含可在10.1007/s40670-023-01934-5获取的补充材料。
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