我国人工智能赋能体育的研究热点与演化趋势

Research Hotspots and Evolution Trends of Artificial Intelligence Enabling Sports in China

摘要: 随着人工智能技术的快速发展与“人工智能+”国家战略的深入推进，人工智能赋能体育已成为我国体育现代化转型中的关键议题。本文基于中国知网(CNKI)数据库中CSSCI来源期刊的220篇核心文献，运用CiteSpace文献计量与可视化分析工具，系统梳理了我国人工智能赋能体育研究的知识结构与发展趋势。研究发现：2002年至今，该领域经历了萌芽探索、快速增长、理论深化三个阶段，研究议题主要聚焦于体育教育、公平治理、全民健身、体育产业升级与赛事传播等方面；核心研究力量初步形成，但整体协同网络仍较薄弱。基于研究现状，本文提出未来应从理论体系重构、生成式AI技术拓展、跨学科人才培养以及实证研究深化等方向持续推进人工智能赋能体育研究的深度发展。

Abstract: With the rapid advancement of artificial intelligence technology and the deepening implementation of the “AI+” national strategy, AI-assisted sports have become a critical issue in China’s modernization of sports. This paper, based on 220 core articles from CSSCI journals in the CNKI database, uses CiteSpace to systematically analyze the knowledge structure and development trends of AI-assisted sports research in China. The study reveals that since 2002, this field has gone through three stages: initial exploration, rapid growth, and theoretical deepening. Research topics have primarily focused on areas such as sports education, fair governance, mass fitness, sports industry upgrading, and event dissemination. While a core research force has emerged, the overall collaborative network remains weak. Based on the current research status, this paper suggests that future efforts should focus on reconstructing the theoretical framework, expanding generative AI technology, cultivating interdisciplinary talent, and deepening empirical research to further advance AI-assisted sports research.