TY - JOUR
T1 - Application of digital-intelligent technologies in physical education
T2 - a systematic review
AU - Zhong, Qiying
AU - Jiang, Jiajun
AU - Bai, Wenting
AU - Yin, Zhihua
AU - Liao, Ziyuan
AU - Zhong, Xiaohui
N1 - Publisher Copyright:
Copyright © 2025 Zhong, Jiang, Bai, Yin, Liao and Zhong.
PY - 2025
Y1 - 2025
N2 - Background: 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. Methods: 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. Results: 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. Conclusion: 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.
AB - Background: 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. Methods: 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. Results: 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. Conclusion: 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.
KW - artificial intelligence
KW - digital-intelligent technologies
KW - physical education
KW - systematic review
KW - wisdom education
UR - https://www.scopus.com/pages/publications/105012858996
U2 - 10.3389/fpubh.2025.1626603
DO - 10.3389/fpubh.2025.1626603
M3 - 文献综述
AN - SCOPUS:105012858996
SN - 2296-2565
VL - 13
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 1626603
ER -