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医学教育中的人工智能与ChatGPT:关于学生能力的横断面问卷调查

Artificial Intelligence and ChatGPT in Medical Education: A Cross-Sectional Questionnaire on students' Competence.

作者信息

Maaß L, Grab-Kroll C, Koerner J, Öchsner W, Schön M, Messerer Dac, Böckers T M, Böckers Anja

机构信息

Institute for Anatomy and Cell Biology, Faculty of Medicine, Ulm University, Ulm, Germany.

Office of the Dean of Studies, Faculty of Medicine, Ulm University, Ulm, Germany.

出版信息

J CME. 2024 Dec 24;14(1):2437293. doi: 10.1080/28338073.2024.2437293. eCollection 2025.

DOI:10.1080/28338073.2024.2437293
PMID:39776442
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11703531/
Abstract

Artificial intelligence is rapidly transforming the field of health science and medical education, but less is known about the students´ competencies related to knowledge, skills and attitudes towards the application of AI tools like ChatGPT. Therefore, a unicentric questionnaire-based cross-sectional study was applied to students in the medical field ( = 207). The data revealed that while most students were familiar with ChatGPT (66.7%), other AI tools were significantly less known or utilised for study purposes. Students approached AI tools rather informally, often preferring to use them as a simple search engine. More than half of the students admitted that they were not sufficiently informed about the underlying technology of AI. They applied ChatGPT in a self-directed manner but expressed considerable uncertainty regarding effective prompt engineering and ChatGPT's legal implications. Overall, the majority of respondents showed interest in and positivity towards the introduction of AI. However, they did not feel adequately prepared to handle AI confidently, leading many to express interest in further training. This training should be directly related to students' professional roles, e.g. as a physician. The three most favoured AI-topics for voluntary learning formats were AI in their studies (62.5%), AI in general (58.0%), and the use of AI in scientific writing (57.0%). Notable subgroup differences related to the students" gender or self-assessed study performance were observed and should be considered in future research.

摘要

人工智能正在迅速改变健康科学和医学教育领域,但对于学生在与诸如ChatGPT等人工智能工具应用相关的知识、技能和态度方面的能力,我们了解得较少。因此,一项基于问卷的单中心横断面研究应用于医学领域的学生(n = 207)。数据显示,虽然大多数学生熟悉ChatGPT(66.7%),但其他人工智能工具的知晓度或用于学习目的的使用率则显著较低。学生们接触人工智能工具的方式相当随意,通常更愿意将它们用作简单的搜索引擎。超过一半的学生承认他们对人工智能的底层技术了解不足。他们以自主的方式使用ChatGPT,但在有效的提示工程和ChatGPT的法律影响方面表达了相当大的不确定性。总体而言,大多数受访者对引入人工智能表现出兴趣和积极态度。然而,他们觉得自己没有充分准备好自信地应对人工智能,这导致许多人表达了对进一步培训的兴趣。这种培训应该与学生的专业角色直接相关,例如作为一名医生。自愿学习形式中最受欢迎的三个人工智能主题是学习中的人工智能(62.5%)、一般人工智能(58.0%)以及科学写作中人工智能的使用(57.0%)。观察到与学生性别或自我评估的学习成绩相关的显著亚组差异,未来研究应予以考虑。

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