护理学生和教育工作者对护理教育中人工智能的经验和观点:定性系统审查和元综合
Jiamin Wang1, Yiran Zhao, Ruiyu Zhou
1Author Affiliation: School of Nursing, Beijing University of Chinese Medicine, Beijing, China (Dr Wang, Ms Zhao, Ms Zhou, and Ms Wu).
Nurse educator
|March 10, 2026
概括
护理教育中的人工智能 (AI) 增强了学习和信心,但也引发了伦理和数据安全方面的担忧. 需要进一步的研究,以解决教师对人工智能集成的准备.
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:
- 人工智能 (AI) 正在显著影响护理教育的交付,获取和应用.
- 综合定性证据对于伦理和以人为中心的人工智能在护理中的整合至关重要.
研究的目的:
- 解释和综合护理学生和教育工作者对基于AI的教育干预措施的经验的定性证据.
- 了解人工智能在护理教学中的多方面的影响.
主要方法:
- 系统搜索十个数据库.
- 使用乔安娜·布里格斯研究所工具对方法质量的评估.
- 通过解释性抽象对数据进行诱导编码和合成,并使用ConQual.评估可靠性.
主要成果:
- 综合34项研究,在5个领域产生了141个主题和169个子主题.
- 关键领域包括增强的深度学习,临床推理,专业信心,道德意识和技术整合.
- 确定的挑战涉及到人工智能介导学习的情感和认知方面的导航.
结论:
- 人工智能对护理教育的学生参与,推理,信心和道德反思产生了积极的影响.
- 持续存在的担忧包括道德考虑,数据安全以及教师准备的必要性.
- 人工智能提供了潜在的好处,同时需要仔细管理相关风险.
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