Teaching Effect and Improvement Model of College Basketball Sports Based on Big Data Analysis

Author:

Liu Yanping

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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