Research on the Modeling and Implementation of Key Technologies of Calisthenics Intelligent Teaching System

The calisthenics intelligent teaching system mainly gives the computer system intelligence, provides expert guidance for calisthenics learners, and can replace calisthenics teachers to achieve the best teaching of calisthenics to a large extent, but the teaching quality of the current calisthenics intelligent teaching system is poor. Therefore, this paper proposes a collaborative filtering algorithm to study the modeling and implementation of key technologies of calisthenics intelligent teaching system. Firstly, the collaborative filtering algorithm is described, and the advantages of the collaborative filtering algorithm applied to the intelligent teaching system are analyzed. Secondly, combined with the collaborative filtering algorithm, a suitable teaching scheme is recommended to the learners’ own learning needs in the intelligent teaching system, and the teaching effect of the calisthenics intelligent teaching system based on the collaborative filtering algorithm is analyzed. The MATLAB simulation results show that the collaborative filtering algorithm proposed in this paper is superior to the deep learning algorithm in terms of calisthenics teaching effect and satisfaction.