Research on Teaching Path of Dance Major in Colleges and Universities Based on Logistic Regression Model from Ideological and Political Perspective

Abstract

Studying dance teaching in colleges and universities is important for the reform and innovation of modern dance teaching models. This paper introduces the logistic regression model, which models response variables taking values 0-1, mapping linear combinations of covariates taking arbitrary values  to real numbers between 01. Then a logistic regression model with mixed effects is introduced, which uses the random effects of the logistic regression model to address the problem of between- and within-group differences. Finally, the current situation of dance teaching in colleges and universities is analyzed in terms of teachers’ qualifications, students’ evaluation of teachers, common teaching methods and evaluation methods. In terms of commonly used teaching methods, the top 6 mainly include 96% for the complete and decomposition method, 95% for the error correction method, 90% for the prompting method, 87% for the cooperative practice method, 86% for the explanation method, and 85% for the exploration method. In the students’ evaluation of dance teachers, 20% were very satisfied, 14% were average, and 22% were less satisfied with their current dance teachers. This study can be targeted to optimize and improve dance teaching in colleges and universities, which can help improve the quality of dance teaching in colleges and universities.