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医学教育评估中的人工智能:应对学术诚信挑战

Artificial Intelligence in Medical Education Assessments: Navigating the Challenges to Academic Integrity.

作者信息

Lin John C, Sabet Cameron A, Chang Christopher, Scott Ingrid U

机构信息

Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA.

Georgetown University School of Medicine, Washington, DC USA.

出版信息

Med Sci Educ. 2024 Sep 24;35(1):509-512. doi: 10.1007/s40670-024-02178-7. eCollection 2025 Feb.

DOI:10.1007/s40670-024-02178-7
PMID:40144121
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11933566/
Abstract

Artificial intelligence (AI) chatbots are threatening academic integrity in medical education. Potential misuse of AI chatbots to cheat has led to internet restrictions by academic institutions. We propose five strategies to mitigate this issue: (1) in-person proctored exams, (2) online proctored exams, (3) clear expectations and consequences, (4) institutional culture of integrity, and (5) addressing exam pressure. Given the limitations of these strategies, it may be necessary to consider regulations, collaboration of medical educators with AI developers, and a broader reimagining of medical education.

摘要

人工智能(AI)聊天机器人正在威胁医学教育中的学术诚信。人工智能聊天机器人可能被滥用于作弊,这已导致学术机构实施网络限制。我们提出了五种策略来缓解这一问题:(1)现场监考考试,(2)在线监考考试,(3)明确期望和后果,(4)诚信的机构文化,以及(5)解决考试压力。鉴于这些策略的局限性,可能有必要考虑制定相关规定、医学教育工作者与人工智能开发者的合作,以及对医学教育进行更广泛的重新构想。

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本文引用的文献

1
Chatbot vs Medical Student Performance on Free-Response Clinical Reasoning Examinations.聊天机器人与医学生在自由应答临床推理考试中的表现对比
JAMA Intern Med. 2023 Sep 1;183(9):1028-1030. doi: 10.1001/jamainternmed.2023.2909.
2
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models.ChatGPT在美国医师执照考试中的表现:使用大语言模型进行人工智能辅助医学教育的潜力。
PLOS Digit Health. 2023 Feb 9;2(2):e0000198. doi: 10.1371/journal.pdig.0000198. eCollection 2023 Feb.
3
Study Behaviors and USMLE Step 1 Performance: Implications of a Student Self-Directed Parallel Curriculum.学习行为与美国医师执照考试第一步成绩:学生自主平行课程的影响
Acad Med. 2017 Nov;92(11S Association of American Medical Colleges Learn Serve Lead: Proceedings of the 56th Annual Research in Medical Education Sessions):S67-S74. doi: 10.1097/ACM.0000000000001916.