Exploring the gray correlation analysis of student management and ideological and political education in colleges and universities

Abstract

Abstract This paper takes grey correlation analysis as the theoretical basis and improves the original grey proximity correlation calculation method by adding bias terms. Uniformly select multiple sample datasets so that the proportion of positive and negative samples is roughly equal. Use the BiasGA method to calculate the biased grey correlation between users and other users to obtain the biased grey correlation matrix of users. Determine if there is a link between student management and ideological and political education by setting the correlation threshold. Integration of teaching cases and feasibility analysis led to the results being found. Teachers under 35 account for 68.75% of the total proportion. The teacher team tends to be younger, and they lack experience in ideological and political management. In student management, only a small number of teachers can improve the effectiveness of student management with the guidance of ideological and political education. the performance evaluation values of the five teachers were 72, 63, 72, 58, 61, respectively. The teachers did not do a comprehensive job of integrating the concept of ideological and political education into the management of students in colleges and universities. Daily affairs management should be strengthened in managing students in colleges and universities, and the integration of ideological and political education concepts should be emphasised.