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作为塞尔维亚医学教育中的生物统计问题解决工具,ChatGPT的有效性和局限性:一项描述性研究

Aleksandra Ignjatović1, Lazar Stevanović2

  • 1Department of Medical Statistics and Informatics, Faculty of Medicine, University of Niš, Niš, Serbia.

Journal of educational evaluation for health professions
|October 16, 2023
PubMed
概括

聊天GPT (GPT-3.5和GPT-4) 在解决生物统计问题方面表现低于平均水平,这凸显了医疗教育需要谨慎. 由于统计分析中的潜在不准确性,学生必须验证它的输出.

关键词:
人工智能的人工智能是人工智能.生物统计学 生物统计学医学教育 医学教育结果的可复制性 结果的可复制性

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