探索医学学生对生成人工智能 (ChatGPT) 的信任与基于团队学习的同行
Amrit Kirpalani1,2,3, Joanne Grimmer1,3, Peter Zhan Tao Wang4
1Department of Paediatrics, Schulich School of Medicine and Dentistry, Western University, London, ON Canada.
Medical science educator
|May 12, 2025
概括
人工智能 (AI) 显著影响了医学学生的临床决策,导致他们采用AI生成的答案,即使是错误的答案. 小组讨论未能纠正这些人工智能引起的误解,突出了医学教育中的风险.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 临床决策 - 临床决策
背景情况:
- 人工智能 (AI) 融入医学教育带来了新的机遇和挑战.
- 了解像ChatGPT这样的AI工具对学生学习的影响至关重要.
研究的目的:
- 调查来自ChatGPT的AI生成响应如何影响医学学生的决策过程.
- 评估小组讨论在缓解医学学生中人工智能诱导的误解方面的有效性.
主要方法:
- 40名医学学生参与了一项涉及临床病例反应的研究.
- 答案分三个阶段收集:独立,在审查AI答案后,以及小组讨论后.
- 对学生的反应进行了分析,以确定受人工智能和群体动态影响的变化.
主要成果:
- 学生的反应与ChatGPT的输出显著一致,无论准确度如何.
- 人工智能产生的内容明显影响了学生的决策.
- 小组讨论在纠正人工智能驱动的错误信息方面无效.
结论:
- 像ChatGPT这样的AI工具可以显著影响医学学生的临床推理和决策.
- 有必要制定关于在医学教育中负责任地使用人工智能的指导方针.
- 医学教育工作者必须培养批判性评估技能,以解决人工智能产生的内容.
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