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护士教育工作者在教育中对GenAI的关注:对技术因素的范围审查
The Journal of nursing education
|August 13, 2025
概括
学术护士教育工作者对教育中的生成人工智能 (GenAI) 表示担忧,理由是数据不准确和偏见等技术问题. 专业发展对于将GenAI负责任地整合到护理课程中至关重要.
科学领域:
- 护理教育 护理教育
- 人工智能的人工智能
- 高等教育 技术 高等教育技术
背景情况:
- 自2022年以来,生成人工智能 (GenAI) 已经对高等教育产生了重大影响.
- 学术护士教育者面临着越来越大的压力来实施GenAI.
- 护士教育工作者对在教育环境中采用GenAI存在担忧.
研究的目的:
- 识别和描述现有证据护士教育工作者对使用GenAI在护理教育中的感知担忧.
主要方法:
- 根据乔安娜·布里格斯研究所的方法论和PRISMA-ScR指南进行了范围审查.
- 在八个数据库中审查了736篇文章,其中30篇符合纳入标准.
- 用作者创建的工具对提取的数据进行了主题分析.
主要成果:
- 技术因素成为主要问题,包括数据的不准确性和偏差.
- 确定了访问不平等,隐私/保密违规以及缺乏政策的问题.
- 教师工作量增加也是护士教育工作者的一个重要问题.
结论:
- 护理教育越来越依赖于技术,需要适应.
- 专业发展培训对于教育工作者有效使用GenAI至关重要.
- 解决教育工作者的担忧对于成功将GenAI整合到护理课程中至关重要.
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