护理学生和技术压力水平的医疗人工智能准备状态:一个相关研究
Özlem Kardaş Kin1, Ayşegül Çelik2
1Gaziantep Islamic Science and Technology University, Gaziantep, Türkiye.
Nurse education in practice
|October 29, 2025
概括
护理学生对医疗保健中人工智能 (AI) 的准备程度中等,但更高的技术压力会对他们的AI采用产生负面影响. 增加对技术支持学习的参与度与更大的AI准备度相关.
科学领域:
- 护理教育 护理教育
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入教育系统,为护理等关键职业提供增强的学习体验.
- 人工智能驱动的教育工具为未来的医疗保健专业人员提供了更现实的和有效的培训环境.
研究的目的:
- 研究护理学生对人工智能 (AI) 的准备程度与他们的技术压力水平之间的关系.
- 评估土耳其护理学生中人工智能准备和技术压力的现状.
主要方法:
- 采用了横截面,描述性和相关性研究设计.
- 在土耳其两所国家大学的护理学生收集了数据,使用个人信息表格,Technostress尺度和医学人工智能准备量表 (MAIRS-MS).
主要成果:
- 平均技术压力得分为20.20±9.68,平均人工智能准备度得分为69.33±13.89.
- 在技术压力水平和人工智能准备程度之间发现了显著的负相关性.
- 喜欢技术增强的学习环境的护理学生对医疗AI的准备性更高.
结论:
- 护理学生通常具有中等水平的AI准备和技术压力.
- 虽然学生表现出对人工智能实施的意愿,但他们对人工智能的伦理影响的理解是有限的.
- 护理学生中技术压力水平较高,不利于他们在医疗保健中采用人工智能的准备.
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