生成型人工智能的优势,弱点,机遇和威胁:对本科护理学生的定性研究
You Yuan1,2,3, Jing Fu3,4, Lanlan Leng3
1Department of Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Frontiers in public health
|September 22, 2025
概括
生成型人工智能为护理学生提供了增强的学习,但也带来了伦理和技术上的挑战. 战略整合对于最大化护理教育的好处和减轻护理教育风险至关重要.
科学领域:
- 护理教育 护理教育
- 人工智能的人工智能
- 定性研究是指质量研究.
背景情况:
- 生成型人工智能 (Gen AI) 越来越多地用于护理教育.
- 研究本科护理学生对Gen AI的看法和经验是有限的.
研究的目的:
- 探索本科护理学生对Gen AI优势,弱点,机遇和威胁 (SWOT) 的看法.
主要方法:
- 使用半结构面试对36名护理本科生进行定性研究.
- 使用科拉伊齐的现象学方法分析数据.
- 应用了SWOT分析框架.
主要成果:
- 确定了关于Gen AI的四个主要主题和16个子主题.
- 优势:个性化学习,效率,认知扩展.
- 缺点:道德/法律风险,不准确的输出,技术障碍.
- 机会:政策支持,技术进步,职业前景.
- 威胁:适应成本,数字沟,就业流失,教育诚信.
结论:
- 人工智能是护理学生的双刃剑,提供学习的好处,但提出道德,技术和公平的挑战.
- 护理教育需要加强技术指导,伦理培训和资源优化,以有效利用一代AI.
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