相关实验视频
护理学生的人工智能 (AI) 素养,AI自我效能和AI自我能力:一个横截面设计和结构方程模型分析
Daniel Joseph E Berdida1, Rizal Angelo N Grande2, Reham Moharam Serag3
1Nursing Department, North Private College of Nursing, Arar, Northern Border, Saudi Arabia.
Nurse education in practice
|December 10, 2025
概括
人工智能 (AI) 在护理学生的素养对AI的自我效能和自我能力产生了积极的影响. 人工智能自我效能起到了关键的调解作用,增强了人工智能素养和能力之间的关系.
科学领域:
- 护理教育 护理教育
- 人工智能的人工智能
- 数字健康素养 数字健康素养
背景情况:
- 人工智能素养至关重要,但在护理教育中未被充分探索.
- 人工智能自我有效性在人工智能素养和人工智能自我能力之间扮演的调解角色需要进一步调查.
研究的目的:
- 检查人工智能素养,人工智能自我效能和人工智能自我能力在护理学生之间的相互关系.
- 调查AI自我效能在这种关系中的调解作用.
主要方法:
- 横截面,相关性研究设计.
- 调查数据从434名护理学生中采集,使用标准化自我报告量表.
- 用于数据分析的结构方程建模 (SEM).
主要成果:
- 人工智能素养对人工智能自我效能 (β=0.54) 和人工智能自我能力 (β=0.13) 有积极的影响.
- 人工智能自我效能与人工智能自我能力直接相关 (β=0.64).
- 人工智能自我效能调解了人工智能识字对人工智能自我能力的积极影响 (β=0.34).
结论:
- 人工智能素养与护理学生的人工智能自我效能和自我能力有显著的相关性.
- 人工智能自我效能作为调解者,放大了人工智能识字对能力的影响.
- 教育策略应侧重于提高AI的自我效能,以提高护理学生的AI素养和能力.
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