Path Analysis of Innovative Models of Higher Education Management and Student Cultivation Mechanisms in the Internet Era

Abstract

In the context of the Internet era, the cultivation of innovative talents is not only the core work of the educational management of colleges and universities but also the essence of the optimization of the educational management path of colleges and universities. Based on this paper for the reform and development path of college education management to think, explore the intrinsic correlation between the two, and, from the perspective of innovative student training, put forward the higher education management reform strategy. Combining the SMO algorithm and SVM-light algorithm, we developed a Lib-SVM-based evaluation model for higher education management mechanisms, applied the PSO algorithm to allocate higher education resources, and made intelligent decisions on higher education management. The hierarchical analysis method and fuzzy analysis method are used in turn to determine the content of higher education student training evaluation and to calculate and analyze related data. The overall satisfaction of students with the higher education management strategy proposed in this paper is 4.449, and there is a significant difference between innovative and traditional student cultivation modes, t=32.4847, p<0.01. Innovative student cultivation methods are rated higher. In the evaluation of student training quality, the total level factor evaluation result is 79.08, which is in the middle range. The practical effect of higher education management and student training paths proposed in this paper is good.

Keywords

• lib-svm algorithm
• educational management decision-making
• fuzzy analysis
• student training evaluation
• 68t05