Reform and Practice of Teaching Kindergartenance in Higher Education Institutions in the Information Age

Abstract

The purpose of this paper is to explore the current situation of teaching kindergarten dance in higher education institutions and propose measures for reform. This paper uses PSO optimization algorithm to determine the number of neurons in the input-output layer neuronal machine implicit layer neurons and conversion function, optimize the neural network, and build a teaching evaluation model for kindergarten teachers' dance teaching construction. And the evaluation system is used to analyze the ECE dance courses in higher education institutions in terms of teaching methods, teaching contents and teaching effects, and to propose improvement plans. At present, the teaching quality of dance in higher vocational institutions does not fully meet the requirements of work, 16 students said their dance ability cannot guide their work well; teaching satisfaction is basically only 60%-70%, indicating that the satisfaction and effect of teaching effect is not good; teaching methods are old and need to be improved, the utilization rate of multimedia is only 20%, and new teaching methods such as performance and competition only account for 30%, only the teaching methods are old and need to be improved. There are still many problems in the teaching of ECE dance in higher vocational institutions, which need further research and improvement.