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了解护理学生中焦虑和对人工智能的态度之间的关系
Ahmad Ayed1, Moath Abu Ejheisheh2, Rasmieh Al-Amer3
1Faculty of Nursing, Arab American University, Jenin, Palestine.
BMC nursing
|July 2, 2025
概括
巴勒斯坦的护理学生经历了高度的人工智能 (AI) 焦虑,与负面态度和有限的暴露有关. 解决这些因素对于有效地将人工智能纳入医疗保健教育至关重要.
科学领域:
- 医疗保健教育 医疗保健教育
- 护理教育 护理教育
- 人工智能的人工智能
背景情况:
- 在巴勒斯坦背景下,对护理学生对人工智能的心理反应的研究有限.
- 了解人工智能焦虑和态度对于在医疗保健教育中成功采用技术至关重要.
- 这项研究解决了了解人工智能对巴勒斯坦护理学生的影响的差距.
研究的目的:
- 在巴勒斯坦的护理学生中检查焦虑和对人工智能 (AI) 的态度之间的关系.
- 在这个特定的教育环境中,确定影响AI焦虑和态度的因素.
- 为在巴勒斯坦护理教育中整合人工智能的文化相关策略提供信息.
主要方法:
- 一项涉及巴勒斯坦阿希利亚大学264名护理学生的横截面研究.
- 利用验证的尺度 (AI焦虑量表,SATAI) 来测量焦虑和态度.
- 使用相关性和回归分析来确定变量之间的关系.
主要成果:
- 在高AI焦虑水平和对AI的积极态度之间观察到一个显著的对比.
- 对人工智能的态度成为焦虑的最强有力的预测因素.
- 年龄较小,女性性别和不使用AI与更高的焦虑有关.
结论:
- 负面态度和有限的AI暴露是护理学生焦虑的关键驱动因素.
- 建议包括整合人工智能素养,提供人工智能实践经验,并实施性别敏感的培训.
- 解决社会文化和教育障碍对于在巴勒斯坦护理教育中准备人工智能至关重要.
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