Mathematical Modeling and Optimization Path Research on Teaching Method Innovation of Physical Education Teachers in Colleges and Universities under Digital Teaching Environment

Abstract

Under the digital teaching environment, traditional physical education teaching methods cannot meet students' learning needs. In this paper, through reviewing relevant information and literature, we determine the influencing factors of teaching method innovation of college physical education teachers, and set them as the research independent variables. Under this premise, multiple linear regression is used to complete the mathematical modeling task of the influence factors of teaching method innovation of college physical education teachers, and the model is used to develop the empirical analysis of college physical education teachers' teaching. The regression coefficients of the research variables were obtained as 0.119, 0.103, 0.105, 0.132, and the corresponding P-values were 0.002, 0.002, 0.005, 0.07, respectively, which satisfy the condition of P<0.05, indicating that there is a significant positive influence at the level of 5%, and that the teacher beliefs, teacher's work commitment, teacher's sense of efficacy, and teacher's reflection have a positive influence on the teacher's teaching method innovation with an explanatory power is 74.9%. In addition, based on the results of the analysis, a targeted path of optimization of physical education teaching methods is proposed, aiming to enhance the diversity and richness of teaching methods of college physical education teachers.