Innovative Practice of Physical Education Teaching in Colleges and Universities Based on Artificial Intelligence Technology

[1] Liu, Z. (2021). Dilemma and path selection of college sports resources into the public service system of national fitness in the new era. Revista Brasileira de Medicina do Esporte, 27(spe), 17-19. Search in Google Scholar

[2] Chen, X., Hu, B., Wang, L., & Tian, F. (2021). The influencing factors of opening of college sports resources in the background of national public fitness services. Revista Brasileira de Medicina do Esporte, 27(spe), 87-90. Search in Google Scholar

[3] Cheng, J., & Wang, X. (2020). Artificial intelligence based on effectiveness of inverted classroom teaching of college sports. Journal of Intelligent and Fuzzy Systems, 40(2), 1-11. Search in Google Scholar

[4] Wang, P., Chi, X., & Yu, Y. X. (2021). The application of deep learning in college students’ sports cognition and health concept. Journal of Intelligent and Fuzzy Systems, 1-13. Search in Google Scholar

[5] Li, X. (2017). Study on the influence of network multimedia on college aerobics and its countermeasures. Boletin Tecnico/technical Bulletin, 55(4), 243-251. Search in Google Scholar

[6] Tompsett, J., & Knoester, C. (2021). The making of a college athlete: high school experiences, socioeconomic advantages, and the likelihood of playing college sports. Sociology of Sport Journal. Search in Google Scholar

[7] Xie, Y., Guo, C., Xu, S., & Luo, G. (2021). A comparative analysis of bmi and physical fitness index between han and minority college students in guangxi. International Journal of Electrical Engineering Education, 002072092098468. Search in Google Scholar

[8] Su, J., Pu, X., Yadav, K., & Subramnaiyan, M. (2022). A physical education teacher motivation from the self-evaluation framework. Computers & Electrical Engineering, 98, 107772-. Search in Google Scholar

[9] Bronikowski, M. (2021). Physical education teachers’ opinion about online teaching during the covid-19 pandemic—comparative study of european countries. Sustainability, 13. Search in Google Scholar

[10] Chen, W., Hammond-Bennett, A., & Hypnar, A. (2017). Examination of motor skill competency in students: evidence-based physical education curriculum. BMC Public Health, 17(1), 222. Search in Google Scholar

[11] Qi, S., Li, S., & Zhang, J. (2021). Designing a teaching assistant system for physical education using web technology. Mobile Information Systems, 2021(6), 1-11. Search in Google Scholar

[12] Guo, Q., & Li, B. (2020). Role of ai physical education based on application of functional sports training. Journal of Intelligent and Fuzzy Systems(2), 1-9. Search in Google Scholar

[13] Karuc, J., Misigoj-Durakovic, M., Markovic, G., Hadzic, V., & Sori, M. (2020). Movement quality in adolescence depends on the level and type of physical activity. Physical Therapy in Sport, 46(November 2020), 194-203. Search in Google Scholar

[14] Souza, I. (2021). 791 health promotion in high school curriculum: brazil and canada. International Journal of Epidemiology. Search in Google Scholar

[15] Li, J. (2021). Application of mobile information system based on internet in college physical education classroom teaching. Mobile Information Systems, 2021, 1-10. Search in Google Scholar

[16] Fetter, D. S., Scherr, R., Linnell, J., Bergman, J., Byrnes, M., & Gerdes, M. A., et al. (2017). Using theory to develop an experiential physical activity curriculum. The FASEB Journal, 31. Search in Google Scholar

[17] Wang, Y., & Chen, A. (2019). Effects of a concept-based physical education curriculum on middle-school students’ out-of-school physical activity. Journal of Teaching in Physical Education, 39(3). Search in Google Scholar

[18] Ensign, J. M., Woods, A. M., & Kulinna, P. (2017). Teacher development in first-year physical educators: a comparison of effectiveness among different physical education teacher education backgrounds. Journal of Teaching in Physical Education, 1-32. Search in Google Scholar

[19] Yangsheng, Z. (2020). An ai based design of student performance prediction and evaluation system in college physical education. Journal of Intelligent and Fuzzy Systems(6), 1-9. Search in Google Scholar

[20] Whalen, L., Barcelona, J., Centeio, E., & Mccaughtry, N. (2021). Healthykidsquarantined: supporting schools and families with virtual physical activity, physical education, and nutrition education during the coronavirus pandemic. Journal of Teaching in Physical Education(3). Search in Google Scholar

[21] Gao, H. (2021). Improving the physical quality of students by prescription teaching mode. Revista Brasileira de Medicina do Esporte, 27(3), 331-334. Search in Google Scholar

[22] Hastie, P. A., Chen, S., & Guarino, A. J. (2017). Health-related fitness knowledge development through project-based learning. Journal of Teaching in Physical Education, 36(1), 119-125. Search in Google Scholar

[23] Sun, W., & Gao, Y. (2021). The design of university physical education management framework based on edge computing and data analysis. Wireless Communications and Mobile Computing. Search in Google Scholar