Quantitative Research and Evaluation Innovation of College Tennis Teaching Based on Data-Driven

With the promotion and development of tennis in the world, tennis is paid more and more attention at home and attracts more and more lovers. In recent years, the rapid development of tennis has prompted major colleges and universities in China to set up tennis courses and establish tennis associations. However, due to the late start, there are still some problems, such as lack of teachers, poor teaching effect, lack of perfect evaluation mechanism and so on. Taking data-driven as the core concept, this paper collects and records students’ learning trajectory data in training, carries out data analysis and quantitative methods, constructs a scientific student evaluation index system, effectively sets weights and evaluation indexes, and uses data mining methods to cluster and predict students’ learning. From the first attempt to apply the evaluation system, after three semesters of practice, good results have been achieved. The results show that the scientific and information-based evaluation system in data-driven tennis teaching can not only accurately quantify students’ learning indicators, but also effectively improve the efficiency of physical education management, change the traditional form of physical education, improve students’ learning satisfaction, and better achieve the skill objectives and comprehensive objectives in the teaching objectives, At the same time, it provides reference for the development of college sports precision and information education.