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概述和批判性分析:关于护理教育技术创新的讨论论文
Celeste Schultz1, Anthony Nepomuceno2, Inki Kim3
1Department of Human Development Nursing Science, University of Illinois Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612, United States.
Nurse education in practice
|September 27, 2025
概括
扩展现实 (XR) 和智能计算为医疗保健学生提供沉浸式学习体验. 智能计算可以更好地培养批判性思维技能,以确保安全的患者护理.
科学领域:
- 在医疗保健教育中探索沉浸式技术.
- 扩展现实 (XR) 和智能计算的集成用于培训.
背景情况:
- 实践模拟有效地发展临床和批判性思维技能.
- 对XR和智能计算如何满足各种学生学习风格和偏好的理解有限.
研究的目的:
- 在医疗保健教育中提供XR和智能计算的概述.
- 提出评估XR和智能计算在模拟患者护理中的框架.
- 评估XR和智能计算的能力,以满足学生对安全患者护理和批判性思维的学习需求.
主要方法:
- 基于设计的研究方法.
- 识别教学中沉浸式技术利用的差距.
- 产生和完善关于教学原则的理论猜测.
主要成果:
- XR提供不同程度的沉浸,存在,互动性和因果关系,适合程序学习.
- 智能计算系统提供沉浸,存在,互动性,因果性和适应性.
- 智能计算显示了增强批判性思维发展的潜力.
结论:
- 护理学院应该战略性地选择沉浸式技术,以弥合教学和临床经验.
- 进一步的研究对于优化护理教育中XR和智能计算的教学策略至关重要.
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