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现代信息技术与运动训练学课程深度融合研究：基于差异化作用机理的模式构建

Research on the Deep Integration of Modern Information Technology and Sports Training Courses: Model Construction Based on Differentiated Action Mechanisms

Study on China Physical Science / 2025,7(3): 222-228 / 2025-09-19 13 5

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• Authors: 胡阳鲜¹ 黄国园²
• Information:

  1. 四川农业大学体育学院，雅安；
  2. 雅安市运动人体科学与国民体质促进重点实验室，雅安

• Keywords:
  Digital empowerment; Sports training science; Information technology; Mechanism of action; Deep integration; Teaching mode
  数字赋能; 运动训练学; 信息技术; 作用机理; 深度融合; 教学模式
• Abstract: With the in-depth advancement of the digitalization strategy in education, modern information technology provides an important opportunity for the innovation of teaching paradigms in sports training courses. This study focuses on the differentiated role mechanisms and integration paths of technologies such as big data, artificial intelligence (AI), virtual reality (VR), and augmented reality (AR) in the course of sports training. The research results show that various technologies exhibit different effects based on their characteristics: VR/AR promotes embodied cognition and understanding of motor skills through a highly immersive environment; Big data technology enables precise diagnosis and intervention in the teaching process through the analysis of learning behaviors. Artificial intelligence technology promotes the generation of personalized learning paths through adaptive recommendation algorithms. Based on constructivist theory, personalized learning theory and learning analytics theory, this study has constructed a deeply integrated model that includes four dimensions: “visualization of teaching content, datafication of teaching process, personalization of learning path and intelligence of teaching evaluation”. It provides a theoretical framework and practical path for systematically solving the pain points in traditional teaching such as abstract and difficult technical actions, lagging feedback and insufficient personalization. 随着教育数字化战略的深入推进，现代信息技术为运动训练学课程教学范式创新提供重要契机。本研究聚焦于大数据、人工智能（AI）、虚拟现实（VR）及增强现实（AR）等技术在运动训练学课程中的差异化作用机理与融合路径。研究结果表明，各类技术依其特性呈现不同效应：VR/AR通过高沉浸环境促进运动技能的具身认知与理解；大数据技术通过学习行为分析实现教学过程的精准诊断与干预；人工智能技术通过自适应推荐算法促进个性化学习路径生成。基于建构主义理论、个性化学习理论和学习分析理论，本研究构建了包含“教学内容可视化、教学过程数据化、学习路径个性化、教学评价智能化”四个维度的深度融合模式，为系统破解传统教学中技术动作抽象难懂、反馈滞后与个性化不足等痛点问题提供了理论框架与实践路径。
• DOI: https://doi.org/10.35534/scps.0703033
• Cite: 胡阳鲜，黄国园．现代信息技术与运动训练学课程深度融合研究：基于差异化作用机理的模式构建［J］．中国体育研究，2025，7（3）：222-228.