人工智能护理学生的焦虑:自我效能的影响
1Author Affiliation: Psychiatric Nursing Department, Gulhane Nursing Faculty, University of Health Sciences, Ankara, Turkey.
Computers, informatics, nursing : CIN
|January 6, 2025
概括
护理学生具有更高的自我效能经历了更少的人工智能焦虑. 提高技术技能和对护理教育的信心可以减轻对医疗保健中人工智能的担忧.
科学领域:
- 护理 护理 护理
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在越来越多地影响医疗保健部门.
- 对人工智能的潜在担忧包括缺乏知识,劳动力影响和道德考虑.
- 这些因素可能会导致医疗保健专业人员,特别是护理学生的焦虑.
研究的目的:
- 为了评估护理学生中人工智能焦虑的水平.
- 研究护理学生的自我效能与他们对人工智能的焦虑之间的关系.
- 确定人工智能焦虑的特定维度及其与一般自我效能的相关性.
主要方法:
- 对土耳其一所公立护理学校的317名护理学生进行了横截面研究.
- 数据采集使用个人信息表格,一般自我效能度量和人工智能焦虑度量.
- 统计分析包括相关性和回归,以检查自我有效性和AI焦虑之间的关系.
主要成果:
- 在一般自我效能和整体AI焦虑之间发现了显著的负相关性 (r = -0.313).
- 更高的自我效能也与学习 (r = -0.369),工作更换 (r = -0.215),社会技术失明 (r = -0.232) 和人工智能配置 (r = -0.211) 负相关.
- 一般的自我有效性对AI焦虑产生了显著的负面影响 (β = -.313,P < .05).
结论:
- 提高护理学生的自我效能与减少人工智能焦虑有关.
- 建议在护理教育中采取旨在提高技术能力和自我效能的干预措施.
- 通过教育解决与人工智能相关的问题,可以更好地为未来的护士准备在医疗保健中整合人工智能.
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