How to Apply What You Learn—Research on Major‐Job Matching of Higher Vocational Students
Bibliographic Data
| ID | 21446016 |
|---|---|
| Authors | Jiaqi Liu (0000-0003-3335-7164, School of Philosophy and Sociology Northwest Normal University Lanzhou China), Meng Cai (0000-0001-6308-7105, School of Humanities and Social Sciences Xi'an Jiaotong University Xi'an China, corresponding author) |
| Year | 2026 |
| Volume | 61 |
| Issue | 3 |
| Publication date | 2026-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | European Journal of Education (JOURNAL) |
| Journal identifiers | ISSN: 0141-8211 • E-ISSN: 1465-3435 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/ejed.70706 |
| OpenAlex | W7163871254 |
| Language | EN |
| References cited | 34 |
An increasing number of countries recognize the significance of vocational education due to its potential to alleviate poverty and enhance the quality of life. However, major‐job mismatch among Chinese vocational graduates seriously hinders the benefits of vocational education. Within the framework of Ecological Systems Theory, this study analysed data from Chinese higher vocational students and used feature selection models, such as random forest and LASSO regression, to identify key predictors of major‐job matching. Binomial logit regression was then employed to conduct a comprehensive analysis and test the results' robustness. We found that internship‐related factors were most strongly associated with major‐job matching among higher vocational students, while intergenerational closure factors were also relatively important. Nonetheless, other factors like family socioeconomic status, which have been linked to employment quality in other studies, exhibited a weaker correlation with major‐job matching for higher vocational students. This study offers insight to address the major‐job mismatch faced by Chinese vocational college students, while also providing international empirical support for the ecological approach in exploring the multifaceted factors
Logistic regression · Matching (statistics) · Ordered logit · Poverty · Propensity score matching · Quality (philosophy) · Selection (genetic algorithm) · Socioeconomic status · Vocational education · Career Development and Diversity · Intergenerational and Educational Inequality Studies · Labor market dynamics and wage inequality
Education and job match
Nested or Networked? Future Directions for Ecological Systems Theory
Feature Selection Methods for Optimal Design of Studies for Developmental Inquiry
Working for two bosses
Bringing Strong Ties Back in
Grand Advantage
Cultural Capital
Occupational segregation and gender inequality in job quality
Social Capital in the Creation of Human Capital
| Highly cited | No |
|---|