Optimization of physical education teaching resources and service mode under the background of big data and cloud computing

Article type: Research Article

Authors: He, Panpan^a | Wang, Jingjing^{b; *}

Affiliations: [a] Graduate School, Emilio Aguinaldo College, Manila, Philippines | [b] Physical Education Department, Jiangsu Urban and Rural Construction Vocational College, Changzhou, Jiangsu, China

Correspondence: [*] Corresponding author: Jingjing Wang, Physical Education Department, Jiangsu Urban and Rural Construction Vocational College, Changzhou, Jiangsu, China. E-mail: [email protected].

Abstract: With the rapid development of big data and cloud computing, the field of physical education has begun to actively explore the application of these new technologies. Big data can collect and analyze a large amount of teaching information, help understand students’ learning needs and preferences, optimize resource allocation, and improve teaching efficiency. Cloud computing can realize the online and personalized teaching resources and services, providing convenient and rich learning experience. This study first analyzes the role and influence of big data and cloud computing in the optimization of physical education teaching resources and service mode, and then verifies the actual effects of these technologies through empirical research, analyzes the existing problems and potential challenges, and puts forward corresponding solutions and suggestions. The results show that big data and cloud computing help to improve the efficiency and user satisfaction of physical education, and have important value in promoting the modernization of physical education.

Keywords: Big data, cloud computing, physical education teaching, resource optimization, service model

DOI: 10.3233/JCM-247279

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 1041-1056, 2024