Artificial Intelligence in Higher Education Physical Education: Pathways, Scenarios, and Limitations of Technology-Enabled Reform

Zhenyu Zhang; Rozaireen Bin Muszali

doi:10.54097/7dzzy759

Authors

Zhenyu Zhang
Rozaireen Bin Muszali

DOI:

https://doi.org/10.54097/7dzzy759

Keywords:

AI-enabled, university physical education, educational reform, logical pathways, typical scenarios

Abstract

In the context of “Healthy China 2030” and educational digitization, this paper examines the logical pathways, typical scenarios, and limitations of artificial intelligence (AI) empowering university physical education. The study reveals that AI facilitates a shift from experience-driven to evidence-based teaching by reconstructing the “objective-content-evaluation” chain. Through technologies such as smart wearables, VR, and AR, it enables personalized training and real-time feedback. Meanwhile, challenges including technology dependency, resource inequality, and ethical risks are identified. The paper proposes a layered implementation strategy that emphasizes the essence of education, aiming to promote the systemic reform of physical education and the holistic development of individuals.

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References

[1] Chen, Y., Wang, L., & Zhang, H. (2022). Virtual reality in physical education: A meta-analysis of learning effects. Computers & Education, 189, 104592. https://doi.org/10.1016/j.compedu.2022.104592

[2] General Office of the State Council of the People's Republic of China. (2020). Opinions on comprehensively strengthening and improving school sports work in the new era.

[3] Huang, R. (2022). Toward the systematic integration of technology and education. China Distance Education, 42(7), 4–12.

[4] Huang, R., Li, M., & Zhang, Z. (2022). Construction of intelligent teaching ecosystem in colleges based on AI technology. Modern Educational Technology, 32(12), 85–92.

[5] Li, Z., Zhang, L., & Wang, T. (2022). The dilemma and reconstruction path of the evaluation system of college physical education curriculum. Sports Science, 42(5), 89–96.

[6] Liu, J., Zeng, H., & Qi, B. (2024). Artificial intelligence enabling higher education: Logical pathways, typical scenarios, and practical approaches. Journal of Xi'an Jiaotong University (Social Sciences), 44(3), 11–20.

[7] Research on the path of school physical education teaching reform empowered by artificial intelligence. (2024). In Abstracts of the 7th Guizhou Provincial Sports Science Conference.

[8] The mechanism, application fields, and practical pathways of digital-intelligent technology empowering school sports modernization. (2023). Sports Research, 38(1), 117–126.

[9] Yan, J. (2024). Research on the practical challenges and improvement strategies of digital empowerment for the development of college physical education curriculum. Bulletin of Sport Science & Technology, 2024(11), 39–45.

[10] Yang, X. (2021). Magic or science: The educational myth of artificial intelligence and its demystification. Journal of Educational Studies, 17(2), 18–31.

[11] Zawacki-Richter, O., Marín, V. I., & Bond, M. (2019). Systematic review of research on artificial intelligence in higher education. International Journal of Educational Technology in Higher Education, 16(1), 39–65. https://doi.org/10.1186/s41239-019-0171-0

[12] Zhu, J., & Chen, B. (2024). Research on the teaching reform and practice of public physical education curriculum in universities under the background of the digital-intelligent era. Contemporary Sports Technology, 34(19).