护理和医学学生使用人工智能工具的经验,如乌干达的ChatGPT
Ritah Nantale1, Frank Kayemba1, Kennedy Paungholi1
1Faculty of Health Sciences, Busitema University, Mbale, Uganda.
PLOS global public health
|December 30, 2025
概括
医学和护理学生利用人工智能 (AI) 进行学习,但存在对滥用的担忧. 负责任的AI整合需要结构化的课程和明确的政策,以平衡医疗教育中的利益与潜在风险.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 定性研究是指质量研究.
背景情况:
- 医学和护理学生越来越多地使用像ChatGPT这样的AI工具进行教育.
- 人们对AI在医学学习环境中的滥用和滥用存在担忧.
研究的目的:
- 探索医学和护理学生在教育中使用AI工具的经验.
- 确定与医疗培训中人工智能使用相关的感知好处和担忧.
主要方法:
- 在乌干达布西特马大学的医学,护理和麻醉学学生参与的定性描述性研究.乌干达.
- 通过五个重点小组讨论和七个深度访谈收集的数据.
- 使用Atlas ti.9软件进行主题分析,分析定性数据.
主要成果:
- 学生使用人工智能作为信息来源,用于考试准备和学术写作.
- 感知到的好处包括增强学习,节省时间和提高写作技巧.
- 担忧包括人工智能的准确性,可信度,过度依赖和固有的局限性.
结论:
- 学生对人工智能有积极的看法,但也对其在医学教育中的作用表示担忧.
- 建议包括修改评估,并与传统资源一起使用人工智能.
- 结构化的课程,正式的政策和指导方针对于负责任的AI整合到医学教育中至关重要.
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