Optimized Allocation of Tennis Teaching Resources Based on Big Data

Abstract

In recent years, tennis has become a popular sport in China, whether in competitive sports or in the daily fitness of ordinary people is widely welcomed. However, due to the late development of tennis in China, the corresponding tennis teaching resources are relatively scarce, and there are problems such as unbalanced allocation. In view of this situation, this paper puts forward the research on the optimal allocation of tennis teaching resources based on big data. This paper makes an in-depth investigation on the current situation of Tennis Teaching under the background of big data, and analyzes various reasons for the backward allocation of tennis teaching resources. In view of these shortcomings, in order to improve the quality of tennis teaching in China, this paper combines the core concept of tennis teaching and big data technology, puts forward measures to strengthen the optimal allocation of tennis teaching resources, and creatively constructs a new basic principle of tennis teaching based on the background of big data. This paper investigates the current situation of tennis teaching development in 30 colleges and universities in China. Through the analysis results, this paper believes that using big data technology to optimize the allocation of tennis teaching resources can effectively improve the imbalance of existing resources and low learning efficiency.