在医学本科教育中的多选项评估问题上,GPT-4生成了答案理性
Peter Y Ch'en1, Wesley Day1, Ryan C Pekson1
1Albert Einstein College of Medicine, Bronx, NY, USA.
BMC medical education
|March 4, 2025
概括
人工智能 (AI) 可以为医学教育多选题 (MCQ) 产生高质量的答案理性. 课程主任发现人工智能产生的理性是准确的,清晰的,可行的实施,在医学教育节省时间.
科学领域:
- 医学教育 医学教育
- 教育中的人工智能
背景情况:
- 为医学多选题 (MCQ) 创建详细的理由是耗时的.
- 并非所有MCQ都包括解释,这阻碍了学生的学习.
- 这项研究探讨了人工智能的潜力,以产生高质量的答案理性为临床图片式MCQs.
研究的目的:
- 评估人工智能生成的医学教育MCQ的答案理由的可行性和质量.
- 评估课程主任对人工智能产生的理性的看法.
- 为了确定使用人工智能用于推理生成的时间效率.
主要方法:
- 一个单一中心的调查研究,涉及8名职工预备课程主任 (CD).
- GPT-4为80个临床图片式MCQ生成了理由.
- CDs评估了人工智能生成的推理的准确性,清晰性,适当性和实施可能性.
- CD 报告了用于审查和修改的时间.
主要成果:
- 在回答MCQ时,GPT-4的准确率达到了93.8%.
- 大多数理由被评为非常准确 (77.5%),清晰 (83.8%) 和适当 (93.8%).
- 88.3%的理由需要最小的修改,所有CD都会通过编辑投入来实现它们.
- 75%的CD花费≤4分钟审查每个问题的理由.
结论:
- 在医学教育中,GPT-4是生成准确,明确和适当的MCQ理性的可行工具.
- 在课程主任的监督下,人工智能生成的理性可以有效地实施.
- 未来的研究应该调查学生的反和基于媒体问题的AI产生的理由.
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