自主调节的学习和参与作为人工智能驱动的自适应学习平台特征和教育质量之间的连续调解者:一个心理机制分析
1School of Marxism, Quzhou College of Technology, Quzhou, ZheJiang, China.
Frontiers in psychology
|November 5, 2025
概括
教育技术中的人工智能增强了学习. 人工智能平台促进自我调节的学习和参与,通过心理途径带来更好的教育成果.
科学领域:
- 教育心理学教育心理学
- 教育中的人工智能
- 人与计算机的交互
背景情况:
- 人工智能在教育中的整合正在迅速改变学习环境.
- 将AI适应性学习平台与教育成果联系在一起的心理机制尚未得到充分理解.
- 了解这些机制对于优化数字学习体验至关重要.
研究的目的:
- 研究通过AI驱动的自适应学习平台特征影响教育质量的心理途径.
- 检查自我调节的学习和学习参与的串行调解.
- 测试来自认知和动机学习理论的假设.
主要方法:
- 结构方程建模用于分析625名学习者的数据.
- 参与者使用的是人工智能驱动的自适应式学习平台 (例如,Knewton,ALEKS,Squirrel AI).
- 该研究评估了平台特征,自我调节学习,参与度和教育质量之间的关系.
主要成果:
- 人工智能平台的功能与教育质量直接相关.
- 发现了显著的串行调解效应:平台功能影响自我调节的学习,这反过来提高了学习参与度和教育质量.
- 这些发现支持假设的认知和动机路径.
结论:
- 由人工智能驱动的自适应式学习平台通过涉及自我调节的学习和参与的心理机制来提高教育质量.
- 平台设计应侧重于培养学习者的自主性和参与度.
- 这项研究为开发有效的AI增强学习环境提供了基于证据的见解.
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