دو فصلنامه علمی جامعه شناسی آموزش و پرورش

نوع مقاله : مقاله پژوهشی (کمی)

نویسندگان

1 دانشجوی دکتری، گروه علوم تربیتی، واحد دماوند، دانشگاه آزاد اسلامی، تهران، ایران

2 دانشیار، گروه مدیریت آموزشی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران

3 استادیار، گروه مدیریت آموزشی ، واحد کرج ،دانشگاه آزاد اسلامی ، کرج ، ایران.

10.22034/ijes.2023.549023.1270

چکیده

هدف: امروزه، سیاست‌گذاری برای بهبود ارتباط دانشگاه و صنعت ارزش و اهمیت زیادی دارد و آموزش دانشگاهی باید بر اساس نیازهای صنعت و جامعه باشد. بنابراین، هدف این مطالعه طراحی الگوی آموزش دانشگاهی مبتنی بر نیازهای صنعت در دانشگاه بود.
 
روش: این مطالعه از نظر هدف کاربردی و از نظر شیوه اجرا کیفی بود. جامعه پژوهش 15 نفر از خبرگان دانشگاه و صنعت بودند که با روش نمونه‌گیری هدفمند انتخاب شدند. ابزار پژوهش مصاحبه عمیق بود که روایی آن با روش مثلث‌سازی تایید و پایایی آن با روش ضریب توافق بین دو کدگذار 86/0 محاسبه شد. داده‌ها با روش کدگذاری باز، محوری و انتخابی در نرم‌افزار MAXQDA تحلیل شدند.
 
یافته‌ها: یافته‌ها نشان داد که الگوی آموزش دانشگاهی مبتنی بر نیازهای صنعت در دانشگاه دارای 30 کد باز (یا شاخص)، 7 کد محوری (یا مولفه) و 3 کد انتخابی (یا مقوله) بود. در این مطالعه کدهای انتخابی شامل مقوله زمینه‌ای (با سه کد محوری شامل مولفه ساختاری دانشگاه، مولفه ساختاری صنعت و مولفه روانشناختی)، مقوله علّی (با دو کد محوری شامل مولفه قانونی و حقوقی و مولفه فرهنگی و اجتماعی) و مقوله راهبردی (با دو کد محوری شامل مولفه سیاست‌گذاری و حمایت دولت و مولفه مدیریتی) بودند. در نهایت، الگوی آموزش دانشگاهی مبتنی بر نیازهای صنعت در دانشگاه طراحی شد.
 
نتیجه گیری: با توجه به نتایج این مطالعه درباره الگوی آموزش دانشگاهی مبتنی بر نیازهای صنعت در دانشگاه می‌توان در جهت بهبود وضعیت موجود آموزش دانشگاهی گام موثری در سه مقوله زمینه‌ای، علّی و راهبردی از طریق مولفه‌ها و شاخص‌های آنها برداشت.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

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

نویسندگان [English]

  • Mohammad Hossein Mohammadi kia 1
  • Mohammad Naghi Imani 2
  • Alireza Mohammadinejad Ganji 3

1 PhD student, Department of Educational Sciences, Damavand Branch, Islamic Azad University, Tehran, Iran

2 Associate Professor, Department of Educational Management, Roudhen Branch, Islamic Azad University, Roudhen, Iran

3 Assistant Professor, Educational Management Department, Karaj Branch, Islamic Azad University, Karaj, Iran.

چکیده [English]

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.

کلیدواژه‌ها [English]

  • University Education
  • Industry Needs
  • University
Ahmadizad A, Akbari Kh, Zonobi MH, Mohammadi H. (2021). Development of technological cooperation between universities and industry by applying the lessons learned and successful global experiences. Quarterly Journal of Industrial Technology Development, 19(44): 39-56. (In Persian)
Azizi Kh, Rezaee B, Hosseinpour M. (2021). Entrepreneurship development strategies in the context of university-industry relationship. Journal of Business Management Perspective, 20(47): 13-36. (In Persian)
Barimani Kh, Enayati T, uosefi SaeedAbad R. (2020). Providing a knowledge market model based on industry-university relationship. Education Strategies in Medical Sciences, 13(5): 432-443. (In Persian)
Ghareche M, Parishani A, Eivazinezhad S, Mirzaei N. (2020). The exploratory pattern of promoting the university-industry relationship. Journal of Strategic Management Studies, 11(43): 1-20. (In Persian)
Ghoreishi SM, Majidpour M, Negahdari B, Mousakhani M. (2022). Entrepreneurial marketing: A new theory of effective university-industry cooperation. Quarterly Journal of Innovation and Entrepreneurship, 20(10): 15-36. (In Persian)
Habobov N, Cheung A. (2017). The role of university education in selecting active strategies for coping with the 2007 global crisis in 28 transitional countries. International Journal of Educational Development, 57: 65-72.
Horng JS, Liu CH, Chou SF, Huang YC. (2020). The roles of university education in promoting students’ passion for learning, knowledge management and entrepreneurialism. Journal of Hospitality and Tourism Management, 44: 162-170.
Hosseinloo F, Zamani Moghaddam A, Sourani Yancheshmeh R. (2021). Presenting a model to develop the relationship between industry and university in the units of Tehran, Islamic Azad University. Journal of Medical Council of Iran, 39(2): 116-125. (In Persian)
Koochak A, Farajpahlou A, Osareh F. (2021). Mutual information approach in university-industry collaboration in transition to third generation universities in Iran. Scientometrics Research Journal,
6(2): 123-146. (In Persian)
Michalik A, Zdun-Ryzewska A, Pieta B, Basinski K, Kielbasinska J, Mazurkiewicz B, et al. (2019). Multicenter study on midwifery students' attitudes towards abortion and it's place in their future practice – Comparison of respondents at early and late stages of the university education. Nurse Education in Practice, 35: 42-47.
Mohammadi Hoseini SA, Amin Beidokhti AA, Neamati MA, Rezaei AM. (2020). Designing a pattern for expanding technical and vocational universities cooperation with industry and society. Iranian Journal of Engineering Education, 21(83): 113-131. (In Persian)
Mork OJ, Hansen IE, Strand K, Giske LA, Kleppe PS. (2016). Manufacturing education- facilitating the collaborative learning environment for industry and university. Procedia CIRP, 54: 59-64.
Ohano Zonouz V, Yari Haj Ataloo J, Adib Y, Daneshvar Z. (2022). Designing quality evaluation model in the electronic curriculum in higher education. Education Strategies in Medical Sciences, 15(4): 389-400. (In Persian)
Olafsdottir OA, Kristjansdottir H, Halfdansdottir B, Gottfredsdottir H. (2018). Midwifery in Iceland: From vocational training to university education. Midwifery, 62: 104-106.
Petrova G, Gural S, Brylina I, Kornienko A, Kornienko A, Nilitina U, Kachalov N. (2015). Humanitarian meaning of university professional education. Procedia – Social and Behavioral Sciences, 206: 455-458.
Raweewan M, Kojima F. (2020). Digital lean manufacturing - collaborative university-industry education in systems design for lean transformation. Procedia Manufacturing, 45: 183-188.
Shi X, Wu Y, Fu D. (2020). Does university-industry collaboration improve innovation efficiency? Evidence from Chinese Firms. Economic Modelling, 86: 39-53.
Steinmo M, Rasmussen E. (2018). The interplay of cognitive and relational social capital dimensions in university-industry collaboration: Overcoming the experience barrier. Research Policy, 47(10): 1964-1974.
Tunca F, Kanat ON. (2019). Harmonization and simplification roles of technology transfer offices for effective university – industry collaboration models. Procedia Computer Science, 158: 361-365.
Wang Q, Ma J, Liao X, Du W. (2017). A context-aware researcher recommendation system for university-industry collaboration on R&D projects. Decision Support Systems, 103: 46-57.