Research on the assessment model of vocational education employment matching degree based on multiple regression analysis

Abstract

At present, vocational education pays more attention to the comprehensive quality education of the educated, and it has become the consensus of higher vocational colleges and universities to fully improve the degree of students' employment matching. This paper proposes a vocational education employment matching degree assessment model based on entropy weight method and fuzzy comprehensive evaluation, and introduces the multiple linear regression model to analyze the specific factors affecting the vocational education employment matching degree. Firstly, the index system of vocational education employment matching degree assessment is established, the entropy weight method is used to solve the index weights, and the fuzzy comprehensive evaluation model is combined to realize the assessment of vocational education employment matching degree. Then, using the data of graduates from 50 vocational colleges and universities in China as support, we constructed benchmark regression and threshold regression models to explore the path of vocational education employment matching degree improvement. It is found that the fuzzy comprehensive evaluation model can realize the accurate assessment of vocational education employment matching degree, the level of students' employability has a significant positive effect on vocational education employment matching degree, and the promotion effect on vocational education employment matching degree is stronger when the level of regional economic development is lower than 16.21%. Therefore, vocational education needs to optimize the design of students' employment guidance courses, reasonably promote the reformative development of regional economy, and then promote the improvement of vocational education employment matching degree and enhance the quality of vocational education talent cultivation.