Zhong Qiying, Jiang Jiajun, Bai Wenting, Yin Zhihua, Liao Ziyuan, Zhong Xiaohui
College of Physical Education and Health, East China Normal University, Shanghai, China.
School of Physical Education and Health, Shanghai University of International Business and Economics, Shanghai, China.
Front Public Health. 2025 Jul 24;13:1626603. doi: 10.3389/fpubh.2025.1626603. eCollection 2025.
Digital-intelligent technologies (DIT), positioned at the convergence of artificial intelligence and digital transformation, have become pivotal to the modernization of physical education (PE). Although widely discussed within the context of Wisdom Education, their specific applications in PE have not been systematically synthesized. This study aimed to systematically review the scope, educational impacts, and implementation challenges of DIT in PE.
A systematic review was conducted on 85 empirical studies published between January 2014 and November 2024. Following PRISMA guidelines, the review examined application scenarios, technological architectures, educational outcomes, and implementation barriers.
Digital Intelligent technologies (DIT) have been adopted across all stages of PE, forming a closed-loop system that includes (a) intelligent instructional design, (b) real-time process visualization, and (c) data-driven evaluation and feedback. Key innovations involved adaptive learning platforms, virtual simulation tools, multimodal assessment systems, and health behavior monitoring. Challenges remain in algorithmic accuracy, data privacy, and unequal access to digital resources.
Digital-intelligent technologies (DIT) have reshaped physical education by enabling more intelligent, personalized, and data-informed instructional practices. To fully realize their potential, future efforts must prioritize algorithmic advancement, ethical safeguards, and the promotion of digital equity.
数字智能技术（DIT）处于人工智能与数字转型的交汇点，已成为体育教育现代化的关键。尽管在智慧教育背景下已被广泛讨论，但其在体育教育中的具体应用尚未得到系统整合。本研究旨在系统回顾数字智能技术在体育教育中的应用范围、教育影响及实施挑战。
对2014年1月至2024年11月发表的85项实证研究进行系统回顾。遵循PRISMA指南，该回顾考察了应用场景、技术架构、教育成果及实施障碍。
数字智能技术已在体育教育的各个阶段得到应用，形成了一个闭环系统，包括（a）智能教学设计；（b）实时过程可视化；（c）数据驱动的评估与反馈。关键创新包括自适应学习平台、虚拟仿真工具、多模态评估系统及健康行为监测。在算法准确性、数据隐私及数字资源获取不平等方面仍存在挑战。
数字智能技术通过实现更智能、个性化和基于数据的教学实践，重塑了体育教育。为充分发挥其潜力，未来的努力必须优先考虑算法进步、道德保障及促进数字公平。
