人工智能在护理模拟教育中的整合:一个范围审查
Maggie Mee Kie Chan1, Abraham Wai Him Wan, Daphne Sze Ki Cheung
1Author Affiliations: School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China (Drs Maggie Mee Kie Chan, Engle Angela Chan, and Yorke); School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Mr Wan, Dr Choi, and Ms Wang); Centre for Quality and Patient Safety Research/ Alfred Health Partnership, Institute for Health Transformation, Deakin University, Melbourne, Australia (Dr Cheung); and School of Nursing and Midwifery, Faculty of Health, Deakin University, Burwood, Melbourne, VIC, Australia (Dr Cheung).
人工智能 (AI) 通过标准化学习和个性化教育来增强护理模拟. 需要进一步研究所有模拟阶段的教师准备和技术整合.
科学领域:
- 护理教育 护理教育
- 人工智能的人工智能
- 模拟技术的模拟技术
背景情况:
- 人工智能 (AI) 在护理模拟教育中的整合正在扩大.
- 了解AI在不同模拟阶段的作用目前是有限的.
研究的目的:
- 系统地绘制人工智能 (AI) 在护理教育的预告,模拟和解答阶段的应用.
- 提供对人工智能在护理模拟中的当前实施情况的全面概述.
主要方法:
- 根据既定指南 (Arksey和O'Malley,PRISMA-ScR) 进行了范围审查.
- 在2015-2024年期间,主要数据库 (PubMed,CINAHL,EMBASE,Scopus,Web of Science) 中进行了搜索.
- 包括专注于执照前护理学生的研究,模拟中的AI,以及经过同行评审的英语出版物.
主要成果:
- 对14项研究的分析确定了人工智能在预告 (聊天机器人,n=2),模拟 (虚拟环境,n=11) 和解答 (反,n=1) 中的应用.
- 关键的好处包括标准化的教育内容和个性化的学习体验护理学生.
- 确定的挑战包括技术限制和教师在利用人工智能工具方面做好准备的需要.
结论:
- 人工智能显示出改善护理模拟教育的巨大潜力.
- 通过人工智能集成,可以实现标准化的学习体验.
- 结构化的教师支持和强大的评估方法对于在护理模拟中有效实施人工智能至关重要.
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