Research on the Method of Improving the Efficiency of Dynamic Allocation of Educational Resources in the Environment of Internet of Things Based on MLP Network Modeling

Abstract

The effective allocation of educational resources has significant practical value and importance in ensuring the fairness of education. The study examines the efficiency of educational resource allocation for 30 schools in City Z from 2020 to 2023 using the DEA model. Reasonable data are screened out based on the DEA model, and then the MLP model is used to construct a model of educational resource allocation efficiency, and the sample data are comprehensively evaluated, so as to screen out the optimal program. Then, according to the results of the MLP model, we determine the importance of each input parameter to obtain the reference basis for adjusting each investment factor to improve the efficiency of educational resources. The method for improving the dynamic allocation efficiency of educational resources is summarized at the end. The allocation efficiency of educational resources in the sample schools is above the medium level, and the comprehensive technical efficiency is 0.61~0.67, which fails to maximize the use of educational resources. The MLP model has a good predictive effect on output variables, and the teaching area (0.319), paper books (0.281), and fixed investment (0.269) are the most important input factors. It is recommended that the DEA-MLP model be used to optimize and optimize the resource management system, improve the scientific evaluation and supervision system, and enhance the management capacity of teachers, so as to further promote the efficiency of the dynamic allocation of educational resources.

Keywords

• dea model
• mlp network model
• allocative efficiency
• predictive effectiveness
• educational resources
• 68m12