The linear programming model of the optimization configuration of education resource optimization for higher vocational students

Promoting the optimal allocation of the ideological and political education resources for higher vocational students is the key to realizing the work of higher vocational ideological and political education. On the basis of analyzing the connotation characteristics and content framework of the ideological and political education resources, the article explores the optimization mechanism and configuration objectives of the ideological and political education resources. Based on the data envelopment model, a DEA-CCR pairwise planning model is constructed by combining the linear programming theory, and the Malmquist index is introduced to explore the dynamic optimization and allocation efficiency of the ideological and political education resources. The input redundancy and output of Civic and political education resources are not enough to obtain the specific measures for their optimal allocation, and the DEA-CCR model for optimal allocation of Civic and political education resources is also solved by using LINDO software. Panel data from 31 provinces in China were used as an example to quantitatively analyze the allocation efficiency of civic education resources for higher vocational students.The values of the allocation efficiency of civic education resources for higher vocational students during the period of 2017-2022 were all in the range of 0.78-0.85, with a 33.73% increase in purely technical efficiency, a 140% increase in the number of regions where the DEA was realized to be effective, and an increase in the Malmquist index of 0.375.In the linear programming model of civic education resources, based on input redundancy and output insufficiency it is possible to obtain targeted strategies for the optimal allocation of civic education resources for higher education students.