人工智能-个性联系:护理学生的特征如何塑造在沙特阿拉伯人工智能驱动的教育中的使用,学习和适应
Sayed Ibrahim Ali1, Mostafa Shaban2
1Department of Family and Community Medicine, College of Medicine, King Faisal University, Al Hofuf, Al-Ahsa 31982, Saudi Arabia.
Nurse education in practice
|August 9, 2025
概括
像开放和良心这样的个性特征驱动人工智能 (AI) 在护理教育中的使用. 人工智能使用频率调解了人格和学生满意度之间的联系,这表明个性化的人工智能策略是关键.
科学领域:
- 护理教育 护理教育
- 教育技术的教育技术
- 心理学 心理学 心理学
背景情况:
- 人工智能 (AI) 越来越多地被用于护理教育.
- 了解学生的个性特征如何影响人工智能工具的参与对于有效的学习至关重要.
研究的目的:
- 探索人格特征对本科护理学生使用,态度和对沙特阿拉伯人工智能教育工具的满意度的影响.
- 检查人工智能在人格特征和满意度之间的关系中使用频率的调解作用.
主要方法:
- 采用了横截面,相关联研究设计.
- 159名本科护理学生完成了一项在线调查,评估人格 (NEO 五因素清单) 和人工智能使用 (AINEQ).
- 统计分析包括描述性统计,物流回归和路径分析.
主要成果:
- 开放性和良心性积极预测频繁的人工智能使用 (p < 0.01).
- 神经病症负面预测了满意度 (p = 0.03).
- 人工智能使用频率调解了开放性/认真性和满意度之间的关系 (p < 0.01). 女学生和高级水平的学生报告了更高的AI参与度.
结论:
- 人格特质显著影响人工智能采用和护理学生的满意度.
- 根据个人个性差异定制基于AI的学习策略可以提高学生的参与度和学术成果.
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