Year: 2025
Type: article
Abstract: This study focuses on an in-depth analysis of the employment outcomes and difficulties of graduates from higher vocational colleges in China, with the core being to explore the degree of fit between educational outcomes and employment. The researcher’s goal is not only to assess the employment quality of graduates, including quantitative indicators such as employment rate, job stability, and satisfaction, but also to gain insight into market demand, accurately identify employment problems, and propose targeted improvement strategies based on this. To achieve this goal, The researcher will use a mixed research method that combines quantitative surveys and qualitative interviews to cover approximately 500 (the specific number is to be determined later) graduates from higher vocational colleges from different regions of China. Quantitative data analysis will directly reflect the employment status of graduates, while qualitative interviews will delve into graduates' personal experiences and the multiple factors that affect their employment outcomes, such as practical skills, industry expectations, and socioeconomic background. This study aims to construct a comprehensive conceptual framework to systematically analyze the employment outcomes of graduates from higher vocational colleges. Through quantitative analysis, we will identify the key factors that affect employment; at the same time, combined with qualitative analysis, we will further explore the deep-seated reasons behind these key factors, especially the match between education and market demand. Finally, we will synthesize the results of the two analyses and propose practical suggestions aimed at optimizing the vocational education system, improving employment guidance services, and laying a solid foundation for formulating more effective Chinese vocational education policies.
DOI: 10.54097/zv823x16
Authors: Yirong Zai, Jesse Balinas (Adviser)
Institution: Angeles University Foundation
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409637441