医学教育中的人工智能与ChatGPT:学生能力的横断面调查问卷。

Journal of CME Pub Date : 2024-12-24 eCollection Date: 2025-01-01 DOI:10.1080/28338073.2024.2437293
L Maaß, C Grab-Kroll, J Koerner, W Öchsner, M Schön, Dac Messerer, T M Böckers, Anja Böckers
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引用次数: 0

摘要

人工智能正在迅速改变健康科学和医学教育领域,但人们对学生对ChatGPT等人工智能工具应用的知识、技能和态度的能力知之甚少。因此,我们对医学领域的学生(n = 207)进行了单中心问卷横断面研究。数据显示,虽然大多数学生(66.7%)熟悉ChatGPT,但其他人工智能工具的知名度或用于学习目的的程度明显较低。学生们接触人工智能工具的方式并不正式,他们通常更喜欢把它们当作简单的搜索引擎。超过一半的学生承认,他们对人工智能的底层技术了解不够。他们以自我导向的方式应用ChatGPT,但在有效的提示工程和ChatGPT的法律含义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,他们并没有自信地做好充分的准备来处理人工智能,这导致许多人表示有兴趣接受进一步的培训。这种培训应该与学生的职业角色直接相关,例如作为一名医生。自愿学习格式中最受欢迎的三个人工智能主题是研究中的人工智能(62.5%)、一般的人工智能(58.0%)和在科学写作中使用人工智能(57.0%)。观察到与学生性别或自我评估学习成绩相关的显著亚组差异,应在未来的研究中予以考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence and ChatGPT in Medical Education: A Cross-Sectional Questionnaire on students' Competence.

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 (n = 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.

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