基于场景的劳动护理模拟教育计划的开发和影响,使用人工智能导师:一个准实验性研究
1College of Nursing, Kyungwoon University, Gumi, Korea.
Women's health nursing (Seoul, Korea)
|July 10, 2025
概括
人工智能 (AI) 导师在劳动护理模拟中显著提高了护理学生的知识,临床表现和数字素养. 这种人工智能驱动的方法提高了护理教育的教育成果.
科学领域:
- 护理教育 护理教育
- 医疗模拟 医疗模拟
- 医疗保健中的人工智能
背景情况:
- 传统的模拟方法对于护理教育至关重要.
- 整合人工智能导师等先进技术可能会提高学习成果.
- 评估人工智能对护理学生技能的影响对于课程开发至关重要.
研究的目的:
- 为了评估人工智能导师支持的劳动护理模拟程序的有效性.
- 测量对护理知识,批判性思维,临床表现和数字素养的影响.
- 将人工智能辅助模拟与传统的高保真模拟进行比较.
主要方法:
- 准实验性研究,使用非等效的对照组 (测试前后设计).
- 72名第四年级护理学生参加了这次活动.
- 实验组使用人工智能导师模拟;对照组在五次会议中使用常规模拟.
主要成果:
- 人工智能导师组在护理知识方面得分明显高 (p<.001).
- 在AI辅导小组中,临床表现 (p=.020) 和数字素养 (p<.001) 也显著提高.
- 在批判性思维倾向方面没有发现显著差异.
结论:
- 基于场景的劳动护理模拟与人工智能导师有效地提高了护理知识,临床表现和数字素养.
- 人工智能导师为改善护理教育成果提供了一个有前途的工具.
- 进一步的研究应该在各种女性健康护理模拟中探索人工智能,以促进批判性思维和判断.
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