Knowledge Structure of Iranian Higher Education Studies based on co-word Network Analysis in ISC Database

Document Type : Research Paper

Authors

1 Associate Professor of Razi University.

2 Associate Professor of Payam Noor University.

3 Master's student of information science and epistemology.

Abstract

The purpose of this research is to draw the knowledge structure of Iranian higher education studies based on articles in the Islamic world citation database and this study is of an applied type by nature and has been done using the co-occurrence analysis method of words. The research community includes all articles published in three journals in the field of higher education, "Higher Education Curriculum Studies, Higher Education Research and Planning, and Higher Education Letters" and all articles in which the word "higher education" And are indexed in the Islamic World Science Citation Database. The data analysis software that was used include: SPSS, Ucinet, Bibe Excel and Vos viewer software. The findings showed that the keywords higher education, curriculum planning and university had the highest frequency with 497, 82 and 57. The results of the dendrogram diagram formed four thematic clusters that include higher education strategies, factors affecting the improvement of higher education, knowledge management in the higher education system and the factors affecting it and the higher education system. The data obtained from the strategic chart show that interdisciplinary curriculum planning, organizational culture, flexibility, localization, educational technology and learning are emerging topics. Overall, the research is very comprehensive, and researchers have focused on topics of varying scope.

Keywords

References

Alzafari, K. (2017). Mapping the literature structure of ‘quality in higher education’ using co-word analysis. Quality in Higher Education, 23(3), 264-282.
Callon, M., Law, J. and Rip, A. (1986) Mapping the dynamics of science and technology: Sociologoy of sience in the real world. London: The Macmillan Press.
Cheng, F. F., Huang, Y. W., Yu, H. C., & Wu, C. S. (2018). Mapping knowledge structure by keyword co-occurrence and social network analysis: Evidence from Library Hi Tech between 2006 and 2017.  Library Hi Tech, 36(4), 636-650.
Dehdarirad, T., Villarroya, A. & Barrios, M. (2014).  Research trends in gender differences in higher education and science: a co-word analysis. Scientometrics, 101, 273–290.
Gao, P. Song, Y. & Liu, J. (2017). Exploring the Research Themes of Student Engagement in Higher Education Based on Co-word Analysis. Annual International Conference on Modern Education and Social Science, 598-604.
Gao, P. Song, Y. & Liu, X. (2018). Study on Undergraduate Research in Chinese Higher Education Based on Content and Co-word Analysis. International Conference on Education, Management and Systems Engineering, 1-5.
Hu, C. P. Hu, J. M. Deng, S. L. Liu Y. (2013). A co-word analysis of library and information science in China. Scientometrics, 97(2), 369-382.
Jung, J. & Horta, H. (2013). Higher Education Research in Asia: a Publication and Co-Publication Analys. Higher Education Quarterly, 67(4), 398–419.
Liu, P. & Wang, Z. (2012). A new method for detecting or ganizational knowledge structure: Author keyword coupling analysis based on FCA. Library and Information Service, 56(22), 121–128.
Rajabzade, S., Ekrami, M., Soheili, F., & Maleki, H. (2018). Intellectual Structure of Knowledge in the Field of Distance Education Using the Co-Word analyses. Future of Medical Education Journal, 8(3), 17-27.‏
Taşkın, Z. (2020). Forecasting the future of library and information science and its sub-fields. Scientometrics, 1-25.‏
Tsai, Ch, Shen, P.D, Chiang, Y. (2013). Research trends in meaningful learning research on elearning and online education environments:  A review of studies published in SSCIindexed journals from 2003 to 2012. British Journal of Educational Technology, 44(6), 179-184.
Yang, y. Wu, u. & Cui, l. (2012). Integration of three visualization methods based on co-word analysis. Scientometrics, 90, 659-673.
Zong, Q. J. Shen, H. Z. Yuan, Q. J. Hu, X. W. Hou, Z. P. Deng, S. G. (2013). Doctoral dissertations of Library and Information Science in China: A co-word analysis. Scientometrics, 94(2): 781-799.

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