人工智能聊天机器人辅助翻转学习对护理学生患者交付的有效性:一项混合方法研究
Wen Chang1, Chun-Chih Lin1, Hsiang-Chun Lee2
1Nursing Management Department of Administration Center, Chang Gung Medical Foundation, Taiwan, ROC; Department of Nursing, Chang Gung University of Science and Technology, Taiwan, ROC.
Nurse education in practice
|March 13, 2026
概括
人工智能 (AI) 聊天机器人辅助的翻转学习显著改善了护理学生的患者交付知识和口头表现. 这种创新方法提高了临床沟通技巧,并促进了反思性学习,以提高患者安全.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 医疗模拟 医疗模拟
背景情况:
- 有效的患者移交对于患者安全至关重要.
- 护理学生需要在交接沟通方面进行结构化培训.
- 人工智能聊天机器人辅助的翻转学习提供了一种新的方法来增强这些技能.
研究的目的:
- 评估人工智能聊天机器人辅助翻转学习对护理学生交付知识的影响.
- 评估口语表现,学习感知,态度和经验.
- 探索这种教育策略的有效性.
主要方法:
- 采用准实验方法的融合混合方法设计.
- 通过知识,感知和态度的前后测试收集的定量数据.
- 通过焦点小组采访收集的定性数据,以探索学生的经验.
主要成果:
- 与对照组相比,实验组的知识分数 (p=0.016) 和实践表现 (p<0.001) 显著提高.
- 焦点小组揭示了聊天机器人作为"双刃剑"的主题,增强了动机,弥合了理论与实践之间的差距,并将学习与临床场景联系起来.
- 批判性思维被认为是技术辅助协作学习的关键.
结论:
- 人工智能聊天机器人辅助的翻转学习是提高护理学生交换能力的有效策略.
- 整合人工智能聊天机器人可以促进反思性学习,并增强临床沟通准备.
- 本研究介绍了一种创新的方法来培训未来的医疗保健专业人员.
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