Empirical analysis and model construction of labor education quality assurance under the framework of industry-education integration

Labor education, an essential component of both quality and comprehensive education, plays a crucial role in nurturing talent within each university. This paper establishes the evaluation index system for labor education quality assurance within the industry-education integration framework, integrates the gray-fuzzy comprehensive evaluation method to build the assessment model, and selects four colleges and universities in a specific location as samples for empirical analysis. We construct a theoretical model of the influencing factors of labor education quality assurance on this basis, and use structural equation modeling to analyze the collected data, verifying the study’s assumptions and the mediating effects of the variables. The sample colleges and universities have labor education quality assurance scores ranging from 3.63 to 3.88, indicating a good level of evaluation. The content, pathway, guidance, and guarantee of labor education significantly enhance its impact, further contributing to its perceived value (0.867), student satisfaction (0.933), and behavioral intention (0.256). Colleges and universities should enrich the connotation of labor education, explore and integrate labor education resources, strengthen the construction of faculty, and deepen the integration of industry and education so that labor education can make greater contributions to the cultivation of talents in the context of the integration of industry and education.