z-logo
open-access-imgOpen Access
Modeling and Analysis of Massive College Sports Data Based on Cloud Computing
Author(s) -
Taotao Su
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/3/032003
Subject(s) - cloud computing , modernization theory , physical education , china , mathematics education , computer science , process (computing) , engineering management , engineering , psychology , political science , law , operating system
With the advantages of cloud computing in the process of education and teaching practice in China gradually highlighted, it is increasingly urgent to use cloud computing to promote technological change in education and promote educational modernization with educational information. This paper introduces the problems existing in the construction of sports information resources in Colleges and universities. This paper discusses the impact of cloud computing on college sports information resources and the new opportunities brought by cloud computing. Finally, the paper puts forward some suggestions on the construction of sports information resources in Colleges and universities. The results show that the passing rate of freshmen, sophomores, juniors and seniors is 13%, 20%, 22% and 45%, respectively. The pass rate of high school physical education is the highest, the pass rate of freshman physical education is the lowest, and the pass rate of sophomore physical education is lower than that of junior middle school physical education.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here