[人工智能虚拟人类赋权护理教育:为沉浸式教学打开一个新范式]
1Department of Nursing, College of Nursing, Asia University, Taiwan, ROC. huashan@asia.edu.tw.
Hu li za zhi The journal of nursing
|February 3, 2026
概括
人工智能 (AI) 虚拟人类为护理教育提供沉浸式,交互式和现实的模拟,增强沟通和临床推理技能. 需要进一步的研究来评估长期的临床益处和成本.
科学领域:
- 护理教育 护理教育
- 健康模拟健康模拟
- 人工智能的人工智能
背景情况:
- 传统的仿真方法,如标准化患者和人形,成本高昂,可复制性有限.
- 沉浸式虚拟现实 (VR) 与人工智能虚拟人类提供了一个更现实的互动学习环境.
- 这些先进的系统为护理学生提供了实践实践,个性化学习和实时反.
研究的目的:
- 用无代码平台展示AI虚拟人类场景的开发过程.
- 综合人工智能虚拟基于人类的模拟的关键组件和教育成果.
- 在柯克帕特里克模型框架内评估人工智能虚拟人类在护理教育中的有效性.
主要方法:
- 使用无代码平台开发AI虚拟人类场景.
- 从人工智能虚拟人体模拟中合成组件和结果.
- 使用柯克帕特里克模型 (专注于反应和学习水平) 评估现有证据.
主要成果:
- 人工智能虚拟人类增强了护士-病人沟通和临床决策技能.
- 目前的证据主要侧重于学习者的反应和即时的学习成果.
- 关于行为变化或临床/组织影响的数据有限.
结论:
- 人工智能虚拟人类有望提高护理技能和信心,并扩展应用.
- 未来的研究需要严格的研究设计,多维结果测量和成本效益分析.
- 更高层次的临床实施效应需要进一步研究,以验证长期益处.
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