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德国医学学生对聊天GPT的看法,使用和教育影响:横截面混合方法调查

Anna Fußhöller^1,2, Fabian Lechner^1,2, Nadine Schlicker²

¹Institute for Digital Medicine, School of Medicine, Philipps-Universität Marburg, Baldingerstrasse 1, Marburg, 35043, Germany, 49 (0)6421586258.

JMIR formative research

|November 11, 2025

概括

医学学生广泛使用ChatGPT进行考试准备和学习,并重视其效率. 然而,对准确性和人工智能技能的担忧凸显了医疗培训中综合人工智能教育的必要性.

科学领域:

医学教育医学教育
医疗保健中的人工智能
数字学习工具数字学习工具

背景情况:

像ChatGPT这样的大型语言模型 (LLM) 为医学教育提供了机会.
医学学生对LLM的使用,好处和局限性的经验数据很少.

研究的目的:

为了评估德国医学学生之间的ChatGPT使用模式.
评估学生对ChatGPT教育价值的看法.
确定与医学培训中LLM使用相关的挑战和问题.

主要方法:

在德国菲利普斯大学马尔堡的84名医学学生中进行了一项横截面在线调查.
混合方法方法:描述/推理统计和定性内容分析.
在2024年5月至8月期间进行的调查.

主要成果:

76.2%的学生使用ChatGPT进行医学教育,在考试期间使用率更高.
主要用途:总结信息 (60.7%),文学研究 (57.7%),澄清概念 (47.1%).
学生报告节省时间 (70.2%) 和提高理解 (51.2%),但对知识应用和保留的益处较小. 大多数人担心错误信息 (73.3%) 和人工智能技能 (72.6%).

结论:

聊天GPT被医学学生广泛采用,特别是用于考试准备和早期学习.
学生认为效率和概念澄清有好处,但质疑长期学习影响.
解决有关可靠性的担忧和整合人工智能教育对于伦理的医学LLM使用至关重要.

关键词:

聊天GPT 聊天GPT 聊天德国德国德国德国人工智能的人工智能是人工智能.数字健康素养数字健康素养大型语言模型医学教育医学教育医学院的学生医学院的学生自主导向的学习学习调查调查调查调查调查调查调查调查

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