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将人工智能辅助和传统战术指令进行比较:在男性大学生中进行的一项交叉实验研究

Chenglong Miao¹, Shuai Zhang¹, Keyi Liu²

¹Institute of Sports Psychology Techniques and Training, Kangwon National University, Samcheok, Republic of Korea.

Acta psychologica

|August 19, 2025

概括

与传统方法相比,人工智能辅助教学在大学生中显著改善了足球战术学习. 这种方法增强了战术知识,决策和满意度,为体育教育提供了卓越的模式.

科学领域:

运动科学运动科学运动科学
教育技术的教育技术
人工智能的人工智能

背景情况:

传统的足球教练依赖于教练带领的教学以进行战术学习.
人工智能和先进的可视化工具的整合为教学提供了新的可能性.
评估人工智能在体育教育中的有效性对于未来的发展至关重要.

研究的目的:

为了比较人工智能辅助教学与传统教练领导的足球战术学习方法的有效性.
评估人工智能对战术知识,决策和学生满意度的影响.
为体育教育中的智能战术指令模型提供经验支持.

主要方法:

一个交叉实验设计,涉及43名男性大学生.
参与者接受了传统和人工智能辅助的战术分析培训 (使用ChatGPT和Metrica PlayBase).
用对样本和独立样本的t测试进行数据分析.

主要成果:

人工智能辅助的指导导致战术知识理解的显著改善 (p < .001).
人工智能辅助教学导致战术决策能力显著提高 (p < .001) 和学习满意度 (p < .001).
以人工智能为基础的培训,得分增长更高,交叉验证证实其优越性.

结论:

人工智能辅助教学比传统方法更有效地提高了足球战术学习.
人工智能技术在改善体育教育和体育训练方面具有重大潜力.
本研究支持开发智能战术指令模型,利用人工智能进行语言指导,视觉理解和战略决策.

关键词:

人工智能辅助的教学指令交叉车实验设计设计.学习满意度和学习兴趣.男性的大学生,大学生.战术分析战术分析战术决策能力战术决策能力战术知识的理解和理解.传统的教学指导传统的教学指导

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