Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 29, 2024


Pages


DOI

Article

Quantitative assessment of information technology support in higher education management systems for student employability enhancement

Check for updates


Authors

Yuqing Wu Affiliation:
Student Affairs Office, Zhangzhou City Vocational College, Zhangzhou, Fujian, 360000, China


Abstract

This paper synthesises the definition of information technology, the definition of students’ employability, and the principle of constructing the evaluation index system, and initially formulate the evaluation system of information technology-driven employability improvement. To ensure the accuracy of the evaluation index system, we used the Delphi method to conduct two rounds of screening. Finally, the evaluation index system for this paper was determined. Then, the hierarchical analysis algorithm is used to calculate the weight value of each index, which is substituted into the fuzzy comprehensive evaluation model as the input value to complete the quantitative assessment of the enhancement of students’ employment ability under the support of information technology. The results show that the affiliation matrix obeys the principle of maximum affiliation, and the quantitative assessment result of information technology-driven students’ employability enhancement in a school is deduced to be excellent, with the specific data expressed as 4.53601, which indicates that information technology fuels students’ employability enhancement and enables them to adapt to the society and the workplace more quickly.


Keywords

Delphi method, Hierarchical analysis algorithm, Fuzzy comprehensive evaluation, Student employability., 68T05


Citation

Wu, Y. (2024). Quantitative assessment of information technology support in higher education management systems for student employability enhancement. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3694
0 Total citations
0.00 FWCI
0 Recent citations
(2 years)
24 References
Open Access Yes
View full metrics

Published by: Engineering Journals

Engineering Journals Logo