Skip to main navigation menu Skip to main content Skip to site footer

special issue

Vol. 1 No. 2 (2025): International Journal of Multidisciplinary Research

Dr. Dilemmas and Breakthrough Paths in the Management of Physical Fitness and Health of College Students from the Perspective of Smart Sports

DOI
https://doi.org/10.65231/ijmr.v1i2.36
Submitted
November 11, 2025
Published
2025-11-30

Abstract

With the rapid development of information technology, smart sports has gradually become an important means to improve the efficiency and quality of physical health management for college students. It utilizes technologies such as the Internet of Things, big data, and artificial intelligence to monitor and analyze students' health status in real time and provide personalized guidance. However, Chinese universities still face challenges in the application of smart sports, including insufficient technical support, data management issues, and an imperfect policy system. This paper analyzes the application difficulties of smart sports in college physical health management through a combination of literature analysis, questionnaire surveys, and in-depth interviews. Based on domestic and international university cases, it proposes breakthrough paths such as optimizing technology application, improving management systems, increasing student participation, strengthening data protection, and increasing financial investment. Research shows that smart sports has broad application prospects, but to achieve comprehensive promotion, challenges in technology, management, and funding need to be overcome to promote the scientific and personalized management of college students' physical health.

References

  1. Liu, Y., Zhang, M., & Ji, B. (2025). Analysis of the mechanism of smart sports services in school physical education and student physical health. Quality in Sport, 40, 59422. https://doi.org/10.12775/qs.2025.40.59422
  2. Deng, C., Yu, Q., Luo, G., Zhao, Z., & Li, Y. (2022). Big data-driven intelligent governance of college students' physical health: System and strategy. Frontiers in Public Health, 10, 924025. https://doi.org/10.3389/fpubh.2022.924025
  3. Pan, M., Ying, B., Lai, Y., & Kuan, G. (2022). Status and influencing factors of physical exercise among college students in China: A systematic review. International Journal of Environmental Research and Public Health, 19(20), 13465. https://doi.org/10.3390/ijerph192013465
  4. Rajšp, A., & Fister, I. Jr. (2020). A systematic literature review of intelligent data analysis methods for smart sport training. Applied Sciences,10(9), 3013. https://doi.org/10.3390/app10093013
  5. Deng, C., Yu, Q., & Luo, G. (2022). Construction of smart sports in colleges and universities: Influencing factors, design ideas, and model choices. Mobile Information Systems, 2022, 9041042. https://doi.org/10.1155/2022/9041042
  6. Yang, L., Amin, O., & Shihada, B. (2024). Intelligent wearable systems: Opportunities and challenges in health and sports. ACM Computing Surveys,56(7), 1 42. https://doi.org/10.1145/3648469
  7. Liu, P., Li, X., Zang, B., & Diao, G. (2024). Privacy‑preserving sports data fusion and prediction with smart devices in distributed environment. Journal of Cloud Computing, 13(1), 106. https://doi.org/10.1186/s13677-024-00671-3
  8. Awumey, E., Das, S., & Forlizzi, J. (2024, June). A systematic review of biometric monitoring in the workplace: Analyzing socio technical harms in development, deployment and use. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 920 932).
  9. Yi, X. (2025). Compliance-by-Design Micro-Licensing for AI-Generated Content in Social Commerce Using C2PA Content Credentials and W3C ODRL Policies.
  10. Yang, Y., Zhang, S., & Mu, Y. (2025). Genomic signatures of tooth simplification and tooth-number expansion in cetaceans. Journal of Vertebrate Biology, 74(25077), 25077-1.
  11. Li, B. (2025, September). AD-STGNN: Adaptive diffusion spatiotemporal GNN for dynamic urban fire vehicle dispatch and emergency response. In Third International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2025) (Vol. 13791, pp. 810-815). SPIE.
  12. Huang, J., & Qiu, Y. (2025). LSTM‐Based Time Series Detection of Abnormal Electricity Usage in Smart Meters.
  13. Gu, Y., Lin, H., & Zhao, W. Li, M..., & Wang, X.(2025). The Ethical Balance Reconstruction of Green Finance Empowered by Computer Technology. International Journal of Accounting and Economics Studies, 12(6), 580-586.
  14. Gu, Y., Pan, D., Yang, N., & Wang, X. (2025). Research on Storage and Transportation Cost Control and Technological Breakthroughs from the Perspective of Global Hydrogen Energy Development. Journal of Sustainable Built Environment, 2(5), 33-38.
  15. Li, B. (2025). From Maps to Decisions: A GeoAI Framework for Multi-Hazard Infrastructure Resilience and Equitable Emergency Management. American Journal Of Big Data, 6(3), 139-153.
  16. Gu, Y., & Wang, Y. (2025). The Impact of Artificial Intelligence on Labor Market Income Inequality. International Journal of Advanced Science, 1(2), 8-13.
  17. Gu, Y., & Kharytonova, V. A. (2025). The Built Environment and Economic Context: Impacts on Enterprise Operations, Mechanisms, and Adaptive Strategies. Journal of Sustainable Built Environment, 2(6).
  18. Yi, X. (2025). Federated Incentive Learning: A Privacy-Preserving Framework for Ad Monetization and Creator Rewards in High-Concurrency Environments. American Journal Of Big Data, 6(3), 60-86.
  19. Yang, Y., Zhang, S., & Mu, Y. (2025). Genomic signatures of tooth simplification and tooth-number expansion in cetaceans. Journal of Vertebrate Biology, 74(25077), 25077-1.
  20. Zhao, J., Zhang, M., Wang, C., Yu, W., Zhu, Y., & Zhu, P. (2025). First-Principles Study of CO, NH3, HCN, CNCl, and Cl2 Gas Adsorption Behaviors of Metal and Cyclic C–Metal B-and N-Site-Doped h-BNs. Electronic Materials Letters, 21(2), 268-288.