Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

May 3, 2024


Pages


DOI

Article

Research on Strategies to Improve Digital Literacy of College Students to Enhance Employment Quality in the Intelligent Era

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Authors

Ye Xiong Affiliation:
Faculty of Education Shaanxi Normal University, Xi’an, Shaanxi, 710000, China.
and Jijiang Yu Affiliation:
Jiangxi Vocational College of Industry & Engineering, Pingxiang, Jiangxi, 337000, China.


Abstract

With the intensification of social employment pressure, the employment conflict of vocational college students has gradually shifted from quantitative to qualitative. The theoretical mechanism and path of the impact of digital literacy on the employment quality of vocational college students are explored through the combination of human capital and labor market theories in this study. In this paper, the digital literacy is used as an independent variable based on the employment quality as the dependent variable. The relevant control variable is set up, and the multivariate regression model is constructed. Finally, a questionnaire survey was conducted on college graduates in Jiangxi, and the influence and mechanism of digital literacy on the employment quality of college graduates were explored through a multiple regression analysis model. The results show that the regression coefficients of digital literacy of vocational college students are always positive, after all the control variables are included in the regression, the regression test coefficient of digital literacy level in the model (6) are, R2=5.15, P<0.001.


Keywords

Vocational college students, Digital literacy, Employment quality, Multiple regression analysis, 93C62


Citation

Xiong, Y. & Yu, J. (2024). Research on strategies to improve digital literacy of college students to enhance employment quality in the intelligent era. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1002

Published by: Engineering Journals

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