人工智能支持的学习分析使用与物理素养和通过智能教学和个性化反来参与大学PE有关
Yi Chen1, Dongjin Xian2, Yuhu Zhao1
1Ministry of Sports, Huaided College of Changzhou University, Jingjiang, China.
Scientific reports
|February 10, 2026
概括
在大学体育教育 (PE) 中,人工智能支持的学习分析提高了体育素养和参与度,主要是通过提高教学质量和个性化反,而不仅仅是数据暴露. 这项研究强调了教学整合对于有效的智能PE倡议的重要性.
科学领域:
- 教育技术的教育技术
- 运动科学 运动科学 运动科学
- 高等教育研究 高等教育研究
背景情况:
- 数字化转型和人工智能正在重塑高等教育教学.
- 可穿戴式分析越来越多地用于体现课程,如大学体育教育 (PE).
- 将PE中的AI分析与物理素养联系起来的经验证据有限.
研究的目的:
- 调查人工智能支持的学习分析在智能教育中的使用与学生的身体素养和参与之间的关系.
- 测试被认为是智能教学质量和个性化反的调解作用.
- 在大学PE环境中应用以人为中心的学习分析视角.
主要方法:
- 采用了一种解释性的顺序混合方法设计.
- 定量阶段:对来自中国四所大学的1182名学生进行调查.
- 定性阶段:对12名学生和6名工作人员进行半结构面试;使用结构方程建模和主题分析.
主要成果:
- 分析使用与感知到的智能教学质量和个性化的反有关.
- 教学质量和反调解了分析使用与物理素养/参与之间的关联.
- 分析使用与结果之间的直接联系很小,并不显著.
- 学生和教师的经验各不相同,他们引用了"镜子和教练"效应以及压力和公平性问题.
结论:
- 当与教学和反过程集成时,支持人工智能的分析更有效地提高了身体素养和参与度.
- 调查结果表明,智能PE计划应该优先考虑以人为中心的设计和有效的反机制.
- 该研究提供混合方法证据,以告知高等教育中人工智能驱动的PE的设计,承认横截面,自我报告数据的局限性.
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