聊天GPT在印度本科社区医学考试上的表现:跨部门研究
Aravind P Gandhi1, Felista Karen Joesph2, Vineeth Rajagopal3
1Department of Community Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India.
JMIR formative research
|March 25, 2024
概括
聊天GPT 3.5在印度医学本科社区医学考试中表现强,得分明显高于学生. 这表明AI工具在医学教育中的潜力,在教师的仔细监督下.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 社区医学评估
背景情况:
- 医学学生越来越多地使用像ChatGPT这样的大型语言模型 (LLM).
- 聊天GPT的能力,以解决医学教育中的多学科查询.
研究的目的:
- 评估ChatGPT 3.5在印度本科社区医学考试中的表现.
- 将ChatGPT的分数与医学学生的分数进行比较.
主要方法:
- 聊天GPT 3.5 提示了40个社区医学考试问题从内部评估.
- 两个独立的评价者对答案进行了评分,并对其相关性,连贯性和完整性进行了评估.
- 绩效与94名医学学士和外科学士学生的成绩进行了比较.
主要成果:
- 聊天GPT 3.5在纸张1上获得了72.3%的分数,在纸张2上获得了61%.
- 学生在第1期论文中平均得分为43%,第2期论文中平均得分为45%.
- 对于超过80%的问题,ChatGPT的答案被评为相关,连贯和完整.
结论:
- 聊天GPT 3.5 拥有足够的知识,用于印度本科社区医学考试.
- 在社区医学中实现ChatGPT的自主学习试点实施是可行的.
- 建议进一步全面探索AI在印度医疗环境中的可靠性,并对教师进行监督.
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