Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

April 1, 2024


Pages


DOI

Article

Regression analysis of factors affecting college students’ employment motivation: college students’ willingness to receive career guidance

Check for updates


Authors

Rui Zhang Affiliation:
International College of Krirk University, Bangkok, 10220, Thailand.
and Tsao Hsueh Jen Affiliation:
International College of Krirk University, Bangkok, 10220, Thailand.


Abstract

This study analyzes the factors affecting college students’ employment motivation, especially the influence of college students’ acceptance of employment guidance, to propose effective strategies to improve employment motivation. This paper discusses the factors that affect college students’ employment motivation, with particular attention to their willingness to accept employment guidance. The research methodology included regression analyses of student data, significant data, and career guidance data for undergraduate students at University A between 2018 and 2022. The results showed that factors such as career guidance acceptance, professional knowledge, and interpersonal communication ability significantly affected students’ motivation to find employment. Specifically, students who received career guidance increased their motivation by an average of 15 per cent, while those with professional solid knowledge increased their motivation by 20 per cent. In addition, we found that gender, type of specialization and place of origin significantly affected motivation, and that comprehensive career guidance and targeted educational strategies are essential for improving college students’ motivation.


Keywords

College Students’ Employment Motivation, Career Guidance, Regression Analysis, Educational Strategies, 00A05


Citation

Zhang, R. & Jen, T. H. (2024). Regression analysis of factors affecting college students’ employment motivation: College students’ willingness to receive career guidance. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0828

Published by: Engineering Journals

Engineering Journals Logo