Effective model of technical and vocational education on the labor market

Document Type : Research Paper


1 Department of Educational Management, Marand Branch, Islamic Azad University, Marand, Iran

2 Department of Educational Sciences, Urmia Branch, Islamic Azad university, Urmia, Iran

3 Department of Educational Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran


This mixed study aimed to propose a cooperation model between the labor market and technical and vocational education using an exploratory method and structural equation model. The qualitative population included university professors and experts in education and business management, as well as experts in technical and professional organizations, who were selected by a non-random and purposive snowball sampling method (10 people). The statistical population was 1371 principals of technical and vocational schools in West Azerbaijan province, employers, and managers of production and service units located in West Azerbaijan province. The sample size was estimated as many as 300 people using Morgan Krejcie's table. The interview and a researcher-made questionnaire according to the outputs of the interview section were used to collect data. A total of eight components and 70 indicators were identified and finally approved by experts to present the model. Technology, human resources, skills training, entrepreneurial attitude, job training, entrepreneurial behaviors, job opportunities in the labor market, and career path in the labor market were identified as dimensions in developing a suitable model for measuring the cooperation between the labor market and technical and vocational education. According to the results, all the relationships between the model variables were confirmed because the significant number of paths between all variables was greater than 1.96, and the significant levels were less than 0.05 and even 0.01.


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Volume 14, Issue 1
January 2023
Pages 2557-2570
  • Receive Date: 02 February 2022
  • Revise Date: 12 March 2022
  • Accept Date: 17 May 2022