Existing intelligent perception and control methods primarily focus on basic data recording, lacking dynamic analysis and refined intervention of students' athletic performance, physical and mental state, and learning feedback. This paper introduces the fusion of artificial intelligence and the Internet of Things (AIoT) to construct an integrated teaching and management model combining "intelligent perception-dynamic analysis-precise feedback." Based on wearable smart devices, this paper collects multi-dimensional physiological indicators in real time and integrates AI algorithms to dynamically model students' athletic load, technical movements, and psychological fluctuations. Leveraging a smart sports management platform, personalized training content delivery and risk warnings are implemented. Experimental results show that in terms of 50-meter running speed, the average scores of the experimental group students dropped from 8.2 seconds and 8.6 seconds to 7.5 seconds and 7.9 seconds, respectively, an average improvement of 0.7 seconds, a significant speed increase.

Xinyuan Li, Bin Guo. Exploration of Public Sports Reform Driven by Artificial Intelligence in Colleges and Universities. Frontiers in Sport Research (2025), Vol. 7, Issue 4: 93-100. https://doi.org/10.25236/FSR.2025.070415.

[1] Alfrey L, O’Connor J. Transforming physical education: an analysis of context and resources that support curriculum transformation and enactment [J]. Physical Education and Sport Pedagogy, 2024, 29(1): 1-17.

[2] Alfrey L, Lambert K, Aldous D, et al. The problematization of the (im) possible subject: An analysis of health and physical education policy from Australia, USA and Wales [J]. Sport, education and society, 2023, 28(4): 353-368.

[3] Calderón A, MacPhail A. Seizing the opportunity to redesign physical education teacher education: Blending paradigms to create transformative experiences in teacher education [J]. Sport, Education and Society, 2023, 28(2): 159-172.

[4] Tolgfors B, Barker D. The glocalization of physical education assessment discourse [J]. Sport, Education and Society, 2023, 28(1): 1-16.

[5] Popel S, Mazin V, Maksymchuk B, et al. Network Planning at the Faculties of Physical Education and Sport in the Postmodern Era[J]. Brain. Broad Research in Artificial Intelligence and Neuroscience, 2023, 14(1): 554-570.

[6] Tanure Alves M L, Van Munster M A, Alves I S, et al. The ‘normal’physical education classes: The ableism facing the inclusion of disabled students [J]. Disability & Society, 2024, 39(2): 469-484.

[7] Isgren Karlsson A, Alatalo T, Nyberg G, et al. Exploring physical education teachers’ perceptions and attitudes towards digital technology in outdoor education [J]. Journal of Adventure Education and Outdoor Learning, 2023, 23(4): 510-524.

[8] Ferraz R, Branquinho L, Sortwell A, et al. Teaching models in physical education: current and future perspectives[J]. Montenegrin Journal of Sports Science and Medicine, 2023, 19(1): 53-60.

[9] Alfrey L. An expansive learning approach to transforming traditional fitness testing in health and physical education: Student voice, feelings and hopes [J]. Curriculum Studies in Health and Physical Education, 2024, 15(1): 24-39.

[10] Wibowo J, Krieger C, Gaum C, et al. Bildung: A German student-centered approach to health and physical education [J]. European Physical Education Review, 2023, 29(2): 233-250.

[11] Lundvall S, Fröberg A. From individual to lifelong environmental processes: Reframing health in physical education with the sustainable development goals [J]. Sport, Education and Society, 2023, 28(6): 684-696.