新质生产力视域下人工智能赋能高校体育教学模式创新研究

Research on Innovation in AI-Enabled Physical Education Teaching Models in Higher Education from the Perspective of New Quality Productive Forces

摘要: 该研究以新质生产力理论为角度，探究人工智能是如何促进高校体育教学模式革新。采用文献分析、逻辑推理等研究方法，以新质生产力理论为框架对高校体育教学过程中人工智能的现实运用价值进行分析，依此提出以人工智能为核心的高校体育教学“技术–资源–人才”协同创新模式。这一模式以优化高校体育教学质量为目标，在培养出适应新时代需要的高素质体育人才的前提下，推动学生身心健康和全面素质发展。结果发现：(1) 人工智能技术对促进体育教学精准性，效率，个性化等有显著优势，并有效地实现资源配置的最优化；(2) 已有的传统教学模式中存在着如师生互动不够，教学内容落后，方式单一，基础设施数字化程度不够等等问题；(3) 人工智能推动下的“技术–资源–人才”协同创新模型是高校体育教学智能化，个性化，现代化转型的关键途径。针对上述情况，研究建议如下：(1) 增加人工智能在体育教学上的运用，建设智能化教学平台与动态评估体系；(2) 推进传统教学模式改革，借助人工智能加强师生互动、更新课程内容、鼓励教师革新教学方法；(3) 提高体育教学基础设施数字化程度，引进智能设备与监测系统；(4) 构建了一个“技术–资源–人才”的协同创新体系，以优化资源的分配并培育具有多种技能的体育专才。

Abstract: Drawing on the theory of new quality productive forces, this study examines how artificial intelligence (AI) can drive innovation in physical education teaching models in higher education. Using literature review and logical analysis, it analyzes the practical value of AI in university physical education and proposes an AI-centered collaborative innovation model integrating “technology, resources, and talent.” The model aims to improve the quality of physical education while cultivating high-caliber sports professionals suited to the needs of the new era and promoting students’ physical and mental health and all-round development. The findings show that: (1) AI offers significant advantages in improving the precision, efficiency, and personalization of physical education, while helping optimize resource allocation; (2) traditional teaching models face challenges such as limited teacher-student interaction, outdated course content, monotonous teaching methods, and insufficiently digitalized infrastructure; and (3) the AI-enabled “technology-resources-talent” collaborative innovation model is a key pathway for the intelligent, personalized, and modern transformation of physical education in higher education. Accordingly, the study recommends: (1) expanding the application of AI in physical education and developing intelligent teaching platforms and dynamic assessment systems; (2) reforming traditional teaching models by using AI to strengthen teacher-student interaction, update course content, and encourage teachers to innovate their teaching methods; (3) advancing the digitalization of physical education infrastructure by introducing smart devices and monitoring systems; and (4) establishing a collaborative innovation system integrating technology, resources, and talent to optimize resource allocation and cultivate versatile sports professionals.