中文体育类核心期刊

中国人文社会科学期刊AMI综合评价(A刊)核心期刊

《中文社会科学引文索引》(CSSCI)来源期刊

美国《剑桥科学文摘》(CSA)收录期刊

中国高校百佳科技期刊

体育教育领域人工智能热的多维审思:限度表征、学理渊源与消解策略

Limitations, Theoretical Origins, and Resolution Strategies of Multidimensional Reflection on the Popularity of Artificial Intelligence in Physical Education

  • 摘要: 在人工智能席卷全球的浪潮中,体育教育正面临前所未有的机遇与挑战。运用文献资料、逻辑分析等方法,对人工智能赋能体育教育限度表征及其消解策略进行研究。人工智能赋能体育教育的理想图景在于构建“以人为中心、以技术为支撑” 的深度融合生态。然而,在其深度介入体育教育的过程中,人工智能的技术工具性与教育人文性的内在张力也催生出运动实践维度的具身性消解、教育关系维度的主体间性弱化、价值实现维度的教育本质异化等多重危机。究其成因,体育教育的核心价值不在于生产标准化的运动数据,而在于通过身体、情感与情境的交互作用,实现“身—心—境”的统整性发展。其不可还原性突出表现为身体实践性、情感互动性、情境生成性三重本质特性。提出人工智能赋能体育教育限度的消解策略:明确辅助边界,构建人工智能应用的功能限度体系;革新设计范式,开发具身友好的智能技术系统;规范教学实践,制定人机协同的操作边界标准;完善制度保障,创新体育特色的规制工具体系。

     

    Abstract: In the wave of artificial intelligence sweeping the globe, physical education is facing unprecedented opportunities and challenges. Using methods such as literature review and logical analysis, this study aims to investigate the limitations and resolution strategies of artificial intelligence in empowering physical education. The ideal scenario of empowering physical education with artificial intelligence lies in building a deep integrated ecosystem centered on people and supported by technology. However, in the process of its deep involvement in physical education, the inherent tension between the technological tool of artificial intelligence and the humanistic nature of education has also given rise to multiple crises including the embodied dissolution in the sports practice dimension, the weakening of the subjectivity in the educational relationship dimension, and the alienation of the educational essence in the value realization dimension. The core value of physical education lies not in producing standardized sports data, but in achieving the integrated development of "body-mind-environment" through the interaction of body, emotion, and context. Its irreducibility is highlighted by three essential characteristics: physical practicality, emotional interaction, and situational generation. Hence the resolution strategies are proposed for empowering physical education with artificial intelligence: to clarify auxiliary boundaries and construct a functional limit system for artificial intelligence applications; to innovate design paradigms and develop personalized intelligent technology systems; to standardize teaching practices and establish operational boundary standards for human-machine collaboration; and to improve institutional safeguards and innovate the regulatory tool system with sports characteristics.

     

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