AI Empowers School Physical Education: Development Opportunities, Practical Challenges, and Coping Strategie
Abstract
With the rapid advancement of artificial intelligence technology, its application in the field of education has significantly promoted educational development. As a crucial component of the education system, physical education must also keep pace with the times to meet the demands of social progress by actively adopting and leveraging AI technologies. Through the use of literature review and logical analysis, this study aims to conduct an in-depth analysis of the developmental opportunities and challenges that AI technology brings to physical education and training, including immature technological applications, potential data quality issues, the transformation of teachers' roles and educational objectives under the trend of intelligentization, as well as personal data security risks and ethical concerns. On this basis, practical implementation strategies are proposed to provide reference and guidance for the future development of physical education.
References
[2] Ministry of Education of the People's Republic of China. (2018, April 18). Notice of the Ministry of Education on issuing the "Education Informatization 2.0 Action Plan" [EB/OL]. http://www.moe.gov.cn/srcsite/A16/s3342/201804/t20180425_334188.html
[3] State Council of the People's Republic of China. (2017, July 8). Notice of the State Council on issuing the "New Generation Artificial Intelligence Development Plan" [Z]. State Council Document No. 35.
[4] Wu, Z., Zhong, Y., Shi, J., et al. (2023). Digital intelligence empowering scientific training: Conceptual logic, international experience, and local practices. Sports Science Research, 37(1), 82–94.
[5] Zhao, J., Fang, G., Zi, W., et al. (2022). Research progress on key technologies of physical training and training monitoring for winter sports. Journal of Beijing Sport University, 45(1), 25–34.
[6] Liu, C., Cheng, Q., Huang, M., et al. (2023). Opportunities, challenges, and strategies for high-quality development of physical education empowered by artificial intelligence. Bulletin of Sport Science and Technology, 31(09), 186–189.
[7] Guo, J., & Hu, T. (2023). Toward "Metaverse Physical Education": Conceptual characteristics, functional perspectives, and scenario applications. Modern Educational Technology, 33(3), 27–35.
[8] Wang, K., & Wang, J. (2022). The mechanism, risks, and countermeasures of artificial intelligence empowering classroom teaching to reduce burden and improve quality. Contemporary Educational Science, (2), 57–65.
[9] Liu, Q., & Xu, W. (2022). Cultivation of China's sports data factor market: Opportunities, challenges, and strategies. Sports Science, 42(5), 29–37.
[10] Ministry of Education. (2018, April 25). Notice of the Ministry of Education on issuing the "Education Informatization 2.0 Action Plan" [EB/OL]. http://www.moe.gov.cn/srcsite/A16/s3342/201804/t20180425_334188.html
[11] Ma, Y., Bai, M., & Zhou, Z. (2017). Exploring the development path of artificial intelligence education applications in China in the era of smart education: Interpretation and enlightenment from the U.S. report "Preparing for the Future of Artificial Intelligence". E-Education Research, (3), 125–130.
[12] Shi, J., Wu, Z., & Zhong, Y. (2023). Artificial intelligence and sports: Application scenarios, risk examination, and mitigation strategies. Bulletin of Sport Science and Technology, 31(10), 202–204, 210.
[13] Zhang, Y., Tang, L., & Ma, C. (2023). Research on the pathways and countermeasures of artificial intelligence in promoting teacher development. E-Education Research, 44(10), 104–111.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
1.png)
