A Bibliometric Analysis of Studies on Distance Education

Yıl 2024, Cilt: 14 Sayı: 1, 449 - 474, 29.01.2024

Ahmet Alper Karagözoğlu , Seyfettin Abdurrezzak , Ümit Doğan

https://doi.org/10.18039/ajesi.1281711

Öz

The aim of this research was to conduct a bibliometric analysis of studies published on the concept of distance education. The study was conducted using a descriptive survey model, with VOSviewer software used to examine the publication outputs and the basic structure of the field, and the Bibliometrix R package used for information analysis. The study analyzed 3148 studies obtained from the Web of Science (WoS) database. Descriptive statistics were used to analyze the structure of the concept of distance education, the distribution of publications by country, influential authors, articles, and journals. Co-author analyses were performed to reveal the social structure of the literature, while trend topic and word cloud analyses were used to reveal the conceptual structure. Results showed that the first study on distance education was conducted in 1980, and until 2004, studies were limited. However, there was a decrease in studies between 2005-2019, followed by an acceleration since 2019, with the number of publications reaching 315 in 2021. The United States of America was found to be the country that published the most in distance education. The study concluded that institutions emerge during times of turbulence or crisis, and that emergent distance education research is a field with a bright future. Suggestions were presented based on the data obtained within the scope of the research. While this study utilized the WoS database, it is important to note that other databases may also provide valuable information.

Anahtar Kelimeler

distance education, distance education research, bibliometric analysis

Uzaktan Eğitim ile İlgili Yapılmış Çalışmaların Bibliyometrik Analizi

Öz

Araştırmanın amacı uzaktan eğitim kavramı hakkında yayımlanan çalışmaların bibliyometrik özellikleri açısından incelenmesidir. Araştırma betimsel tarama modelinde gerçekleştirilmiştir. Çalışmada yayın çıktılarını ve alanın temel yapısını incelemek için VOSviewer yazılım aracı ve bilgi analizi için Bibliometrix R paketi kullanılmıştır. Web of Science (WoS) veri tabanında uzaktan eğitim ile ilgili elde edilen veriler neticesinde 3148 çalışma analize tabi tutulmuştur. Araştırma kapsamında uzaktan eğitim kavramının tanımlayıcı yapısı için betimsel istatistiklerden, yayınların ülkelere göre dağılımını gösteren analizlerden, etkili yazarlar, makaleler ve dergilere ait betimsel istatistiklerden, uzaktan eğitim kavramı ile ilgili alanyazının sosyal yapısını ortaya koymaya yönelik ortak yazar analizlerinden, kavramsal yapıyı ortaya koymak amacıyla trend konu analizlerinden, stratejik diyagram ve kelime bulutu analizlerinden yararlanılmıştır. Araştırma sonucunda uzaktan eğitim ile ilgili ilk çalışmanın 1980 yılında yapıldığı, 2004 yılına kadar çalışmaların oldukça sınırlı kaldığı, 2005-2019 yılları arasında iniş ve çıkışlar yaşandığı, 2019 yılından itibaren bir ivme yaşanarak yayın sayısına 315 çalışma ile en çok 2021 yılında ulaşıldığı tespit edilmiştir. Araştırma sonucunda uzaktan eğitim konusunda Amerika Birleşik Devletleri’nin en çok yayın yapan ülke olduğu sonucuna ulaşılmıştır. Araştırma kapsamında elde edilen veriler ışığında öneriler sunulmuştur.

Anahtar Kelimeler

bibliyometrik analiz, uzaktan eğitim, uzaktan eğitim araştırmaları

Kaynakça

• Alicia Martín-Navarro, M. P., & Martínez-Fierro, S. (2022). Evolution of entrepreneurship research in the food sector: a bibliometric review. British Food Journal. https://doi.org/10.1108/BFJ-04-2022-0388
• Anderson, T., & Dron, J. (2011). Three generations of distance education pedagogy. International Review of Research in Open and Distributed Learning, 12(3), 80-97.
• Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
• Barker, B. A. (1990). Distance education in rural schools: Advantages and disadvantages. Rural Educator, 12(1), 4-7.
• Bates, A. T. (2005). Technology, e-learning and distance education. Routledge.
• Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J. (2020). Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 1(1), 363-376.
• Blake, H., Bermingham, F., Johnson, G., & Tabner, A. (2020). Mitigating the Psychological Impact of COVID-19 on HealthcareWorkers: A Digital Learning Package. International Journal of Environmental Research and Public Health, 17(9.2997). https://doi.org/10.3390/ijerph17092997
• Bozkurt, A. (2020). Koronavirüs (Covid-19) pandemi süreci ve pandemi sonrası dünyada eğitime yönelik değerlendirmeler: Yeni normal ve yeni eğitim paradigması. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 6(3), 112-142.
• Brigham, D. E. (1992). Factors affecting the development of distance education courses. Distance Education, 13(2), 169-192.
• Clark, J. T. (2020). Distance education. In Clinical engineering handbook (pp. 410-415). Academic Press.
• Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402.
• East, J. F., LaMendola, W., & Alter, C. (2014). Distance education and organizational environment. Journal of Social Work Education, 50(1), 19-33.
• Ehrman, M. (1990). Psychology: Psychological factors and distance education. American Journal of Distance Education, 4(1), 10-24.
• Erihovna, K. S. (2016). Distance learning: Its advantages and disadvantages. International Journal of Professional Science, (1), 71-74.
• Essary, M. L. (2014). Key external factors influencing successful distance education programs. Academy of Educational Leadership Journal, 18(3), 121.
• Fojtík, R. (2018). Problems of distance education. Icte Journal, 7(1), 14-23.
• Harry, K., John, M., & Keegan, D. (2013). Distance education: New perspectives. Routledge.
• Holmberg, B. (2005). Theory and practice of distance education. Routledge.
• Hu, G., Wang, L., Ni, R., & Liu, W. (2020). Which h-index? An exploration within the Web of Science. Scientometrics, 123(3), 1225-1233.
• Husmann, D. E., & Miller, M. T. (2001). Improving distance education: Perceptions of program administrators. Online Journal of Distance Learning Administration, 4(1), 1-5.
• Jones, D. (1996). Computing by distance education: Problems and solutions. ACM SIGCSE Bulletin, 28(SI), 139-146.
• Keegan, D. (2005). Theoretical principles of distance education. Routledge.
• Kismetova, G., & Abdrasilova, N. (2021). Advantages and disadvantages of distance learning. Sciences of Europe, (82-3), 16-20.
• Klusmann, U., Kunter, M., Trautwein, U., Lüdtke, O., & Baumert, J. (2008). Teachers' occupational well-being and quality of instruction: The important role of self-regulatory patterns. Journal of Educational Psychology, 100(3), 702.
• Lee, Y., Driscoll, M. P., & Nelson, D. W. (2004). The past, present, and future of research in distance education: Results of a content analysis. The American Journal of Distance Education, 18(4), 225-241.
• Lenar, S., Artur, F., Ullubi, S., & Nailya, B. (2014). Problems and decision in the field of distance education. Procedia-Social and Behavioral Sciences, 131, 111-117.
• Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317-323.
• Maguire, L. L. (2005). Literature review–faculty participation in online distance education: Barriers and motivators. Online Journal of Distance Learning Administration, 8(1), 1-16.
• Mason, R. (2000). From distance education to online education. The Internet and Higher Education, 3(1-2), 63-74.
• Menchaca, M. P., & Bekele, T. A. (2008). Learner and instructor identified success factors in distance education. Distance Education, 29(3), 231-252.
• Moore, M. G. (1991). Editorial: Distance education theory. The American Journal of Distance Education, 5(3), 1–6. https://doi.org/10.1080/08923649109526758
• Richardson, J. T. (2007). Mental models of learning in distance education. British Journal of Educational Psychology, 77(2), 253-270.
• Rumble, G. (2019). The planning and management of distance education. Routledge. Saba, F. (2011). Distance education in the United States: Past, present, future. Educational Technology, 11-18.
• Sadeghi, M. (2019). A shift from classroom to distance learning: Advantages and limitations. International Journal of Research in English Education, 4(1), 80-88.
• Saykili, A. (2018). Distance education: Definitions, generations, key concepts and future directions. International Journal of Contemporary Educational Research, 5(1), 2-17.
• Schifter, C. (2002). Perception differences about participating in distance education. Online Journal of Distance Learning Administration, 5(1), 1-15.
• Serafini, G., Parmigiani, B., Aguglia, A., Sher, L., & Amore, M. (2020). The psychological impact of COVID-19 on the mental health in the general population. QJM: An International Journal of Medicine, 113(8), 529–535. https://doi.org/10.1093/qjmed/hcaa201
• Shaitura, S. V., Zyukin, D. A., Pigoreva, O. V., Gerasimova, V. G., Ordov, K. V., & Kosterina, I. V. (2020). Problems of distance education. Journal of Critical Reviews, 7(14), 969-974.
• Shearer, R. L., Aldemir, T., Hitchcock, J., Resig, J., Driver, J., & Kohler, M. (2020). What students want: A vision of a future online learning experience grounded in distance education theory. American Journal of Distance Education, 34(1), 36-52.
• Simonson, M. (2015). Accreditation and quality in distance education. Distance Learning, 12(1), 27.
• Simpson, R. L. (2006). See the future of distance education. Nursing Management, 37(2), 42-51.
• Thach, E. C., & Murphy, K. L. (1995). Competencies for distance education professionals. Educational Technology Research and Development, 43(1), 57-79.
• Tricker, T., Rangecroft, M., Long, P., & Gilroy, P. (2001). Evaluating distance education courses: The student perception. Assessment & Evaluation in Higher Education, 26(2), 165-177.
• Urokova, S. B. (2020). Advantages and disadvantages of online education. ISJ Theoretical & Applied Science, 9(89), 34-37.
• Vlachopoulos, D. (2016). Assuring quality in e-learning course design: The roadmap. International Review of Research in Open and Distributed Learning, 17(6), 183-205.
• Wang, Y., Di, Y., Ye, J., & Wei, W. (2021). Study on the public psychological states and its related factors during the outbreak of coronavirus disease 2019 (COVID-19) in some regions of China. Psychology, Health &
• Medicine, 26(1), 13-22. https://doi.org/10.1080/13548506.2020.1746817
• Willis, B. D. (1994). Distance education: Strategies and tools. Educational Technology.
• Zhang, C., Yang, L., Liu, S., Ma, S., Wang, Y., Cai, Z., . . . Zhang, B. (2020). Survey of Insomnia and Related Social Psychological Factors Among Medical Staff Involved in the 2019 Novel Coronavirus Disease Outbreak. Frontiers in Psychiatry, 11(306). https://doi.org/10.3389/fpsyt.2020.00306
• Zhang, W.-r., Wang, K., Yin, L., Zhao, W.-f., Xue, Q., Peng, M., . . . Wang, H.-x. (2020). Mental Health and Psychosocial Problems of Medical Health Workers during the COVID-19 Epidemic in China. Psychother Psychosom, 89(4), 242-250. https://doi.org/10.1159/000507639
• Zee, M., & Koomen, H. M. (2016). Teacher self-efficacy and its effects on classroom processes, student academic adjustment, and teacher well-being: A synthesis of 40 years of research. Review of Educational Research, 86(4), 981-1015.
• Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472.