Article Gold Open Access 2024

The Effective Path of High-quality Employment for College Students under the Perspective of “Internet+”

Applied Mathematics and Nonlinear Sciences
Journal · Vol. 9 · Issue 1 · Art. 20242310
Abstract

The rapid development of higher education has made the social supply far greater than the social demand, which has created the problem of difficult employment for college students. The implementation of the national strategy of strengthening human resources and the healthy development of a harmonious society is facilitated by solving the employment problem of college students. In this study, we first constructed a model of college students’ employment through factor analysis and explored the key factors that affect the employment quality of college students. The keywords were used to extract the hotspots of corporate recruitment and to extract measurement variables such as GPA scores. Factor analysis was used to find out the potential variables, extract the effective factors greater than 1, name and number the principal component factors, and identify the items with the highest correlation of each principal component factor, respectively. The model of this paper was validated through exploratory and validation analyses on the obtained data, which were consistent between the validation and exploratory samples. The actual value of X2 was 0.7312, which was in line with the evaluation criteria. The evaluation criteria are met by the values of the other five indicators. The model’s high fit and scientific construction are reflected by it. This paper integrates factor analysis with the exploration of college students’ employment pathways, providing a set of application models that can be used as a reference. © 2024 Qian Liang, published by Sciendo.

Keywords

Author Keywords

Factor Analysis College students’ employment Effective factor Employment model

Index Keywords

High educations Students High quality Factors analysis College students Student employment College student’ employment Effective factor Employment model Evaluation criteria Principal Components
Author Affiliations
Enrollment and Employment Department, Hunan International Economics University, Changsha, Hunan, China
Funding & Acknowledgements
No funding information
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