跨专业教育的多维教学框架:融合课堂,高保真和扩展现实模拟
Mikkonen Kristina1, Liaw Sok Ying2, Spirgienė Lina3
1Research Unit of Health Sciences and Technology, University of Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland; Department of Nursing, Faculty of Nursing, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
本研究介绍了一种创新的跨专业教育框架,使用混合学习,高保真模拟 (HFS) 和人工智能增强的扩展现实 (XR) 来为医疗保健学生准备紧急护理. 这种方法提高了协作技能和患者安全.
科学领域:
- 医疗保健教育 医疗保健教育
- 医疗模拟 医疗模拟
- 数字健康数字健康
背景情况:
- 医疗保健系统越来越复杂,需要加强专业间的合作.
- 传统的跨专业教育模式需要创新,以满足不断变化的医疗保健需求.
- 越来越需要在紧急护理场景中进行有效的培训.
研究的目的:
- 为跨专业教育提供一个多维的教学框架.
- 整合混合学习,高保真模拟 (HFS) 和人工智能增强的扩展现实 (XR).
- 提高医疗学生的专业间能力和紧急护理准备能力.
主要方法:
- 一个社会建设主义和以学生为中心的教学框架被开发出来.
- 混合学习将理论知识与身临其境的体验环境相结合.
- 高保真模拟 (HFS) 和人工智能增强的XR技术被用于实际技能开发.
主要成果:
- 该框架通过HFS有效培养批判性思维,决策和协作技能.
- 人工智能增强的XR通过适应性场景培养了数字能力,情感性和定位认知.
- 综合方法为高风险的紧急情况准备护士,助产士和医学学生.
结论:
- 教学框架提高了患者安全和学习者参与度.
- 它培养了为未来准备的医疗保健专业人员,为医疗保健的数字化转型做好了准备.
- 这种可扩展,全球相关的解决方案在各种医疗保健环境中推进了专业间的学习.
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