从电影到模拟:混合方法研究学习者驱动的人工智能产生的道德困境场景和角色扮演,以提高护理学生的道德能力
1Department of Nursing, Cheongam College, 1641, Noksaek-ro, Suncheon 57997, Republic of Korea.
Nurse education in practice
|February 21, 2026
概括
这项研究为护理学生开发了一种人工智能驱动的模拟,显著提高了生物医学伦理意识,批判性思维和同理心. 该计划表现出高度满意度,并为道德教育提供了可行的策略.
科学领域:
- 护理教育 护理教育
- 医学伦理 医学伦理
- 教育中的人工智能
背景情况:
- 人工智能工具增强了教育互动性,但在伦理培训中未得到充分利用.
- 人工智能在医疗保健专业人员的专业伦理教育中的有限应用.
研究的目的:
- 开发和评估一个基于电影,人工智能 (AI) 生成的交互式道德困境角色扮演模拟程序.
- 评估该计划对护理学生生物医学伦理意识,批判性思维倾向,同情心和满意度的影响.
主要方法:
- 混合方法设计,包括准实验性前测试后测试控制组和定性主题分析.
- 开发涉及文献审查,专家咨询,电影选择和人工智能支持的场景创作.
- 参与者包括50名护理学生;实验组参与了多次会议的模拟,而对照组只看了电影.
主要成果:
- 与对照组相比,实验组在伦理意识,批判性思维和同理心方面表现出明显的改善.
- 报告了高的项目满意度,定性分析显示了情感沉浸和增强的专业身份.
- 在实验组中观察到显著的前后改善.
结论:
- 人工智能生成的基于电影的角色扮演模拟有效地提高了护理学生的关键能力.
- 这种综合方法是改善护理道德教育的可行和有吸引力的策略.
- 该计划促进道德敏感性,价值观反思和专业身份发展.
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