将数字能力,自我效能和数字压力与人工智能支持的学习环境中的感知互动性联系起来
Jiaxin Ren1, Juncheng Guo2, Huanxi Li3
1Faculty of Social Sciences and Liberal Arts, UCSI University, Kuala Lumpur, Malaysia. jiaxin0776@gmail.com.
Scientific reports
|September 27, 2025
概括
具有更高数字能力的学习者更好地与人工智能 (AI) 进行交互. 数字压力可以通过影响AI学习环境中的自我效能来削弱这种联系.
科学领域:
- 教育技术的教育技术
- 人与计算机的交互
- 教育中的人工智能
背景情况:
- 人工智能 (AI) 在教育中的整合需要了解学习者的感知.
- 学习者与人工智能系统的互动受到数字能力和自我效能的影响.
- 数字压力可能会影响人工智能在学习环境中的有效性.
研究的目的:
- 调查数字能力与感知AI互动性的关系.
- 检查信息检索自我有效性和人机交互自我有效性的调解作用.
- 探索数字压力对人工智能学习者互动的缓解效应.
主要方法:
- 采用了一个调节的串行调解模型.
- 从921名中国大学生收集了数据.
- 理论框架包括构造主义学习理论,技术接受模型,认知负载理论,相同元素理论和控制-价值理论.
主要成果:
- 数字能力与感知到的AI互动性正相关,无论是直接还是间接.
- 在信息检索和人机交互中的自我效能顺序介导了这种关系.
- 增加的数字压力削弱了数字能力对感知互动性的间接影响.
结论:
- 学习者-AI互动受到认知 (能力,自我效能) 和情绪 (压力) 因素的组合的影响.
- 数字能力对于有效的AI增强学习至关重要.
- 教育AI设计应考虑数字能力和压力水平的个体差异,以获得最佳的学习成果.
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