Influence factors and research on higher vocational students' reluctance to advance to higher education based on random forest and structural equation modelling

Yanying Cheng

doi:10.54254/2977-3903/8/2024072

Research Article

Open access

Published on 28 May 2024

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Cheng,Y. (2024). Influence factors and research on higher vocational students' reluctance to advance to higher education based on random forest and structural equation modelling. Advances in Engineering Innovation,8,1-8.

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Influence factors and research on higher vocational students' reluctance to advance to higher education based on random forest and structural equation modelling

Yanying Cheng *^,1,

¹ Jilin University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-3903/8/2024072

Abstract

This study aims to explore the key factors influencing Chinese higher vocational students' reluctance to pursue higher education. By combining two analytical methods, Random Forest and Structural Equation Modeling, the study targeted students enrolled in Guangdong Finance and Trade Vocational College, designed a questionnaire containing various aspects such as study habits, self-perception, and internship experience, and collected 107 samples for analysis. The study found that students' personal intention to pursue higher education was the most critical factor influencing whether they chose to continue their studies, followed by the evaluation of their own learning ability and economic considerations. In addition, family cultural resources and learning environment also influence students' attitudes towards further education to a certain extent. The study also reveals the effects of the positive interaction between personal factors and family cultural resources support, and the negative interaction between personal factors and economic factors on the intention to pursue higher education. Based on these findings, the article presents recommendations for the school, family, and social levels to promote higher education students' willingness to pursue higher education and educational equity.

Keywords

higher vocational education, willingness to advance to higher education, random forests, structural equation modelling

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Journal：Advances in Engineering Innovation

Volume number: Vol.8

ISSN：2977-3903(Print) / 2977-3911(Online)

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