Open AccessTeaching Effect and Improvement Model of College Basketball Sports Based on Big Data Analysis
Author(s) -
Yan-Ping Liu
Publication year - 2020
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 - 10.1088/1742-6596/1533/4/042056
Subject(s) - basketball , china , big data , context (archaeology) , athletes , advertising , the internet , competition (biology) , multimedia , medical education , mathematics education , psychology , engineering , computer science , political science , business , medicine , world wide web , physical therapy , geography , archaeology , ecology , law , biology , operating system
Basketball has a large audience in colleges and universities(CAU) in China. College basketball has developed rapidly, and its attention has been increasing. It has promoted the disruptive change of Internet technology and brought unprecedented opportunities and challenges to competitive sports information systems. The purpose of this article is to study the effect and improvement model of college basketball sports teaching based on big data analysis (BDA). On the basis of systematically combing the characteristics, concepts, and development trends of big data, this study analyzes the teaching effects and improvement models of basketball sports in China’s CAU in the context of the era. The research results show that 60.8% of CAU in China currently use big data technology in basketball sports, which can promote the development of college basketball games, improve athletes’ level of competition, and enhance the enjoyment and interest of basketball games. In addition, 90.6% of college physical education teachers believe that teaching based on BDA can also effectively help the team’s daily training, arrange training plans for coaches and give guidance.