Statistical modelling and quantitative assessment of management reforms in higher education on the enhancement of student employability
Published Online: Sep 25, 2025
Received: Jan 15, 2025
Accepted: Apr 30, 2025
DOI: https://doi.org/10.2478/amns-2025-1005
Keywords
© 2025 Lifen Wen, Mingxu Zhao and Zhenhua Li, published by Sciendo.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
College students’ employability is a compound and developmental concept, and employability enhancement is affected by various factors, among which college management reform is an important influence factor of college students’ employability. This paper first constructs the influence factor model of students’ employability enhancement based on the method of multiple linear regression analysis. Then, based on the results of the multiple regression analysis, the design of the path of college management reform oriented to the improvement of students’ employability is carried out. Finally, the feasibility of the path is verified by using independent sample t-test and paired sample t-test. The correlations between the influencing factors of employability and the specific dimensions of employability all reach a significant level and show a weak correlation (Pearson’s correlation coefficient in the range of 0.111~0.346), which indicates that the refined influencing factors of college students’ employability have a greater effect on the level of employability. Among them, major setting, career planning, evaluation and motivation, campus culture, and teaching ability are the core influencing factors for the improvement of college students’ employability. After the experiment, there is a significant difference between the experimental group that adopts the corresponding teaching management mode under the college reform path designed in this paper and the homogeneous control group in terms of students’ employability (p<0.05), indicating that the college management reform path designed in this paper is able to effectively enhance students’ employability.