Cuiping Wu
ABSTRACT
Under the background of the rapid development of information technology, my country's sports industry is facing huge challenges. K-means clustering algorithm is a typical optimization method based on data characteristics and original sample data. Faced with the quantitative data of sports and the development of Internet technology, the design of intelligent sports teaching auxiliary system becomes more and more important. For this reason, this paper studies the intelligent sports CAI system based on k-means clustering algorithm, the purpose is to provide a way to assist sports teaching through system design. This article mainly uses the investigation method and the interview method to understand the students' opinions of the intelligent sports CAI system. And applied the data method to research and describe the K-means clustering algorithm, and analyze the existing problems of the computer-aided teaching system. The survey results show that 59.1% of people attach great importance to the teaching and learning of intelligent sports.
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- Construction and Application of Intelligent Sports CAI System Based on K-Means Clustering Algorithm
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