Designing a University Education Pattern based on Industry Needs in the University (Case Study: Islamic Azad University of Damavand Branch)

Abstract

Purpose: Today, policymaking has a great value and importance to improve the relationship between university and industry, and university education should be based on the industry and society needs. Therefore, the aim of this study was designing a university education pattern based on industry needs in the university.   Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. The research population consisted of 15 university and industry experts who were selected by purposive sampling method. The research tool was an in-depth interview, which its validity was confirmed by the triangulation method and its reliability was calculated by the agreement coefficient method between two coders at 0.86. Data were analyzed by open, axial and selective coding method in MAXQDA software.   Findings: The findings showed that the university education pattern based on industry needs in the university had 30 open codes (or indicators), 7 axial codes (or components) and 3 selective codes (or categories). In this study, the selected codes were included the contextual category (with three axial codes including structural component of university, structural component of industry and psychological component), the causal category (with two axial codes including legal and lawful component and cultural and social component) and the strategic category (with two axial codes including policy and government support component and managerial component). Finally, the university education pattern based on industry needs in the university was designed.   Conclusion: According to the results of this study about the university education pattern based on industry needs in the university, can be taken an effective step to improve the current state of university education in the three categories of contextual, causal and strategic through their components and indicators.