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Açık ve uzaktan öğrenme ortamlarında öğrenim terki üzerine yapılan çalışmaların bibliyometrik analizi: Scopus örneği

Yıl 2025, Cilt: 11 Sayı: 1, 62 - 87, 28.01.2025
https://doi.org/10.51948/auad.1556844

Öz

Açık ve uzaktan öğrenme, erişilebilirlik ve esneklik özellikleriyle eğitim dünyasında devrim yaratmıştır. Buna rağmen, açık ve uzaktan eğitim programlarındaki öğrenim terki oranları geleneksel yüz yüze eğitime kıyasla önemli ölçüde yüksektir. Bu durum, eğitimciler ve kurumlar için önemli bir zorluk teşkil etmektedir. Öğrenim terkine sebep olan faktörleri ele almak, açık ve uzaktan eğitimde öğrenciyi elde tutma ve öğrenen başarısını artırmak için çok önemlidir. Bu bibliyometrik analiz çalışması, açık ve uzaktan öğrenmede öğrenim terki üzerine yürütülen akademik çalışmaların genel bir değerlendirmesini hedeflemektedir. Çalışmada Scopus veri tabanından yararlanılmış, “dropout”, “distance education” ve “open education” kavranları başlık, özet ve anahtar kelimeler bölümüne yazılarak tarama yapılmıştır. Veri tabanında 2014-2024 yılları arasında yayınlanmış 620 dergi makalesi ve konferans bildirisine ulaşılmış ve bibliyometrik veriler, VOSviewer 1.6.20 programı kullanılarak analiz edilip görselleştirilmiştir. Araştırma kapsamında akademik çalışmaların entelektüel manzarasını haritalamak için atıf analizi, ortak yazarlık ağları ve anahtar kelime ortak oluşum analizi dahil olmak üzere kapsamlı bir bibliyometrik göstergeler seti kullanılmıştır.

Kaynakça

  • Anderson, T. (2008). The theory and practice of online learning. Edmonton, AB: Athabasca University.
  • Arslan. Ö. (2018). Çevrimiçi uzaktan eğitim öğrencilerinin programları terk etme nedenlerinin incelenmesi. (Yayınlanmamış yüksek lisans tezi). Hacettepe Üniversitesi.
  • Budiman, R. (2018). Factors related to students’ drop out of a distance language learning programme. Journal of Curriculum and Teaching, 7(2), 12. https://doi.org/10.5430/jct.v7n2p12
  • De Oliveira, C.F., Sobral, S.R., Ferreira, M.J., & Moreira, F. (2021). How does learning analytics contribute to prevent students’ dropout in higher education: A systematic literature review. Big Data Cogn. Comput., 5, 64.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. DOI: https://doi.org/10.1016/j.jbusres.2021.04.070.
  • Grau-Valldosera, J. and Minguillón, J. (2014). Rethinking dropout in online higher education: the case of the universitat oberta de catalunya. The International Review of Research in Open and Distributed Learning, 15(1). https://doi.org/10.19173/irrodl.v15i1.1628
  • Hallinger, P., & Kovačević, J. (2019). A bibliometric review of research on educational administration: Science mapping the literature, 1960 to 2018. Review of Educational Research, 89(3), 335-369, https://doi.org/10.3102/0034654319830380
  • Hart, C. (2012). Factors associated with student persistence in an online program of study: A review of the literature. Journal of Interactive Online Learning, 11(1), 19-42. Available at: http://www.ncolr.org/jiol/issues/pdf/11.1.2.pdf
  • Huang, H., Jew, L., Qi, D. (2023). Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor. Heliyon. 9. Kamissa, Y. (2020). Dropping out from educational system – 1st part. Open Journal for Psychological Research, 4(1), 63-76. https://doi.org/10.32591/coas.ojpr.0401.06063k
  • Kyridis, A. and Tsakiridou, E. (2011). Educational inequalities and school dropout in Greece. International Journal of Education, 3(2). https://doi.org/10.5296/ije.v3i2.855
  • Lee, Y. and Choi, J. (2010). A review of online course dropout research: implications for practice and future research. Educational Technology Research and Development, 59(5), 593-618. https://doi.org/10.1007/s11423-010-9177-y
  • Liliana, L., Santosa, P. I., & Kusumawardani, S. S. (2022). Completion factor in massive open online course in developing countries: A literature review in 2015-2021. World Journal on Educational Technology: Current Issues. 14(2), 456-472.
  • Martínez-Torres, J., Gonzálvez, C., Fernández-Sogorb, A., & García-Fernández, J. M. (2024). The evolution of research on school attendance: A bibliometric review of scholarly output. European Journal of Educational Research, 13(2), 851-864.
  • Öztoklu, B., Ekici, Ö., Konakcı, A. & Yakıcı, R. E. (2024). Okul terki ve okula devamsızlık ile ilişkili çalışmaların bibliyomerik analizi. International Academic Social Resources Journal, 9(1), 17-25.
  • Park, J.-H. (2007). Factors related to learner dropout in online learning. https://eric.ed.gov/?id=ED504556
  • Park, J. H., & Choi, H. J. (2009). Factors influencing adult learners' decision to drop out or persist in online learning. Educational Technology & Society, 12(4), 207-217. Available at: https://www.j-ets.net/ETS/journals/12_4/18.pdf
  • Parreño, S. (2022). School dropouts in the philippines: causes, changes and statistics. Sapienza International Journal of Interdisciplinary Studies, 4(1), e23002. https://doi.org/10.51798/sijis.v4i1.552
  • Perianes-Rodriguez, A., Waltman, L., & Van Eck, N. J. (2016). Constructing bibliometric networks: A comparison between full and fractional counting. Journal of Informetrics, 10(4), 1178–1195. https://doi.org/https://doi.org/10.1016/j.joi.2016.10.006
  • Profiroiu, C. M., Cibu, B., Delcea, C., & Cotfas, L. A. (2024). Charting the Course of School Dropout Research: A Bibliometric Exploration. IEEE Access.
  • Radovan, M. (2019). Should i stay, or should i go? revisiting student retention models in distance education. Turkish Online Journal of Distance Education, 20(3), 29-40. https://doi.org/10.17718/tojde.598211
  • Rizwan, S., Arshad, S., & Rehman, R. (2022). Factors contributing towards drop out in m.phil at allama iqbal open university. International Journal of Distance Education and E-Learning, 7(2), 93-104. https://doi.org/10.36261/ijdeel.v7i2.2441
  • Roldan-Valadez, E., Salazar-Ruiz, S. Y., Ibarra-Contreras, R., & Rios, C. (2019). Current concepts on bibliometrics: a brief review about impact factor, Eigenfactor score, CiteScore, SCImago Journal Rank, Source-Normalised Impact per Paper, H-index, and alternative metrics. Irish Journal of Medical Science (1971-), 188, 939–951.
  • Rovai, A. P. (2003). In search of higher persistence rates in distance education online programs. The Internet and Higher Education, 6(1), 1-16. Available at: https://www.sciencedirect.com/science/article/pii/S1096751602001586
  • Sener, J., & Hawkins, R. (2007). Factors affecting completion rates in asynchronous online facilitated faculty professional development courses. International Journal of Instructional Technology & Distance Learning, 4(12), 29-44.
  • Simonson, M., Schlosser, C. ve Orellana, A. (2011). Distance education research: A review of the literature. Journal of Computing in Higher Education, 23(2), 124. https://doi.org/10.1007/s12528-011-9045-8
  • Stoessel, K., Ihme, T., Barbarino, M., Fisseler, B., & Stürmer, S. (2014). Sociodemographic diversity and distance education: who drops out from academic programs and why?. Research in Higher Education, 56(3), 228-246. https://doi.org/10.1007/s11162-014-9343-x
  • Tattersall, C., Waterink, W., Höppener, P., & Koper, R. (2006). A case study in the measurement of educational efficiency in open and distance learning. Distance Education, 27(3), 391-404. https://doi.org/10.1080/01587910600940463
  • Tewari, D. D., Ilesanmi, K. D., & Serpa, S. (2020). Teaching and learning interaction in South Africa’s higher education: Some weak links. Cogent Social Sciences, 6(1). https://doi.org/10.1080/23311886.2020.1740519
  • Thomas, E. (2019). A new approach to teaching introductory computing and information technology by distance learning – addressing key issues. Eden Conference Proceedings, (1), 301-309. https://doi.org/10.38069/edenconf-2019-ac-0032
  • Tinto, V. (2017). Through the eyes of students. Journal of College Student Retention: Research, Theory & Practice, 19(3), 254-269. Available at: https://ysu.edu/sites/default/files/(2016)%20Through%20the%20Eyes%20of%20Students%20TINTO.pdf
  • Ulaş S, Gonzálvez, C. ve Seçer, İ. (2024) School refusal: mapping the literature by bibliometric analysis. Front. Psychol, 15.
  • Valencia Quecano, L. I., Guzmán Rincón, A., & Barragán Moreno, S. (2024). Dropout in postgraduate programs: A underexplored phenomenon – A scoping review. Cogent Education, 11(1).
  • Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
  • Véliz, P. J. ve Ortega, A. M. (2023). Dropout intentions in higher education: Systematic literature review. Journal on Efficiency and Responsibility in Education and Science, 16(2), 149-158.
  • Wang, W., Zhao, Y.L., Wu, Y.J., & Goh, M. (2022). Factors of dropout from MOOCs: a bibliometric review. Libr. Hi Tech, 41, 432-453.
  • Willging, P. and Johnson, S. (2019). Factors that influence students’ decision to dropout of online courses. Online Learning, 13(3). https://doi.org/10.24059/olj.v13i3.1659

Bibliometric analysis of studies on dropout in open and distance learning environments: Example of Scopus

Yıl 2025, Cilt: 11 Sayı: 1, 62 - 87, 28.01.2025
https://doi.org/10.51948/auad.1556844

Öz

Open and distance learning has revolutionized the world of education with its accessibility and flexibility. Despite this, dropout rates in open and distance learning programmes are significantly higher than in traditional face-to-face education and pose a significant challenge for educators and institutions. Addressing the factors contributing to these dropout rates is crucial for improving student retention and success in open and distance education. This bibliometric analysis aims to provide an overview of academic studies on dropout in open and distance education. In the study, Scopus database was used to search the title, abstract and keywords section with the words ‘drop out’, ‘distance education’ and ‘open education’. In the database, 620 journal articles and conference proceedings published between 2014-2024 were accessed and their bibliometric data were analysed and visualized using VOSviewer 1.6.9 software. A comprehensive set of bibliometric indicators including citation analysis, co-authorship networks and keyword co-occurrence analysis were used to map the intellectual landscape of academic studies.

Kaynakça

  • Anderson, T. (2008). The theory and practice of online learning. Edmonton, AB: Athabasca University.
  • Arslan. Ö. (2018). Çevrimiçi uzaktan eğitim öğrencilerinin programları terk etme nedenlerinin incelenmesi. (Yayınlanmamış yüksek lisans tezi). Hacettepe Üniversitesi.
  • Budiman, R. (2018). Factors related to students’ drop out of a distance language learning programme. Journal of Curriculum and Teaching, 7(2), 12. https://doi.org/10.5430/jct.v7n2p12
  • De Oliveira, C.F., Sobral, S.R., Ferreira, M.J., & Moreira, F. (2021). How does learning analytics contribute to prevent students’ dropout in higher education: A systematic literature review. Big Data Cogn. Comput., 5, 64.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. DOI: https://doi.org/10.1016/j.jbusres.2021.04.070.
  • Grau-Valldosera, J. and Minguillón, J. (2014). Rethinking dropout in online higher education: the case of the universitat oberta de catalunya. The International Review of Research in Open and Distributed Learning, 15(1). https://doi.org/10.19173/irrodl.v15i1.1628
  • Hallinger, P., & Kovačević, J. (2019). A bibliometric review of research on educational administration: Science mapping the literature, 1960 to 2018. Review of Educational Research, 89(3), 335-369, https://doi.org/10.3102/0034654319830380
  • Hart, C. (2012). Factors associated with student persistence in an online program of study: A review of the literature. Journal of Interactive Online Learning, 11(1), 19-42. Available at: http://www.ncolr.org/jiol/issues/pdf/11.1.2.pdf
  • Huang, H., Jew, L., Qi, D. (2023). Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor. Heliyon. 9. Kamissa, Y. (2020). Dropping out from educational system – 1st part. Open Journal for Psychological Research, 4(1), 63-76. https://doi.org/10.32591/coas.ojpr.0401.06063k
  • Kyridis, A. and Tsakiridou, E. (2011). Educational inequalities and school dropout in Greece. International Journal of Education, 3(2). https://doi.org/10.5296/ije.v3i2.855
  • Lee, Y. and Choi, J. (2010). A review of online course dropout research: implications for practice and future research. Educational Technology Research and Development, 59(5), 593-618. https://doi.org/10.1007/s11423-010-9177-y
  • Liliana, L., Santosa, P. I., & Kusumawardani, S. S. (2022). Completion factor in massive open online course in developing countries: A literature review in 2015-2021. World Journal on Educational Technology: Current Issues. 14(2), 456-472.
  • Martínez-Torres, J., Gonzálvez, C., Fernández-Sogorb, A., & García-Fernández, J. M. (2024). The evolution of research on school attendance: A bibliometric review of scholarly output. European Journal of Educational Research, 13(2), 851-864.
  • Öztoklu, B., Ekici, Ö., Konakcı, A. & Yakıcı, R. E. (2024). Okul terki ve okula devamsızlık ile ilişkili çalışmaların bibliyomerik analizi. International Academic Social Resources Journal, 9(1), 17-25.
  • Park, J.-H. (2007). Factors related to learner dropout in online learning. https://eric.ed.gov/?id=ED504556
  • Park, J. H., & Choi, H. J. (2009). Factors influencing adult learners' decision to drop out or persist in online learning. Educational Technology & Society, 12(4), 207-217. Available at: https://www.j-ets.net/ETS/journals/12_4/18.pdf
  • Parreño, S. (2022). School dropouts in the philippines: causes, changes and statistics. Sapienza International Journal of Interdisciplinary Studies, 4(1), e23002. https://doi.org/10.51798/sijis.v4i1.552
  • Perianes-Rodriguez, A., Waltman, L., & Van Eck, N. J. (2016). Constructing bibliometric networks: A comparison between full and fractional counting. Journal of Informetrics, 10(4), 1178–1195. https://doi.org/https://doi.org/10.1016/j.joi.2016.10.006
  • Profiroiu, C. M., Cibu, B., Delcea, C., & Cotfas, L. A. (2024). Charting the Course of School Dropout Research: A Bibliometric Exploration. IEEE Access.
  • Radovan, M. (2019). Should i stay, or should i go? revisiting student retention models in distance education. Turkish Online Journal of Distance Education, 20(3), 29-40. https://doi.org/10.17718/tojde.598211
  • Rizwan, S., Arshad, S., & Rehman, R. (2022). Factors contributing towards drop out in m.phil at allama iqbal open university. International Journal of Distance Education and E-Learning, 7(2), 93-104. https://doi.org/10.36261/ijdeel.v7i2.2441
  • Roldan-Valadez, E., Salazar-Ruiz, S. Y., Ibarra-Contreras, R., & Rios, C. (2019). Current concepts on bibliometrics: a brief review about impact factor, Eigenfactor score, CiteScore, SCImago Journal Rank, Source-Normalised Impact per Paper, H-index, and alternative metrics. Irish Journal of Medical Science (1971-), 188, 939–951.
  • Rovai, A. P. (2003). In search of higher persistence rates in distance education online programs. The Internet and Higher Education, 6(1), 1-16. Available at: https://www.sciencedirect.com/science/article/pii/S1096751602001586
  • Sener, J., & Hawkins, R. (2007). Factors affecting completion rates in asynchronous online facilitated faculty professional development courses. International Journal of Instructional Technology & Distance Learning, 4(12), 29-44.
  • Simonson, M., Schlosser, C. ve Orellana, A. (2011). Distance education research: A review of the literature. Journal of Computing in Higher Education, 23(2), 124. https://doi.org/10.1007/s12528-011-9045-8
  • Stoessel, K., Ihme, T., Barbarino, M., Fisseler, B., & Stürmer, S. (2014). Sociodemographic diversity and distance education: who drops out from academic programs and why?. Research in Higher Education, 56(3), 228-246. https://doi.org/10.1007/s11162-014-9343-x
  • Tattersall, C., Waterink, W., Höppener, P., & Koper, R. (2006). A case study in the measurement of educational efficiency in open and distance learning. Distance Education, 27(3), 391-404. https://doi.org/10.1080/01587910600940463
  • Tewari, D. D., Ilesanmi, K. D., & Serpa, S. (2020). Teaching and learning interaction in South Africa’s higher education: Some weak links. Cogent Social Sciences, 6(1). https://doi.org/10.1080/23311886.2020.1740519
  • Thomas, E. (2019). A new approach to teaching introductory computing and information technology by distance learning – addressing key issues. Eden Conference Proceedings, (1), 301-309. https://doi.org/10.38069/edenconf-2019-ac-0032
  • Tinto, V. (2017). Through the eyes of students. Journal of College Student Retention: Research, Theory & Practice, 19(3), 254-269. Available at: https://ysu.edu/sites/default/files/(2016)%20Through%20the%20Eyes%20of%20Students%20TINTO.pdf
  • Ulaş S, Gonzálvez, C. ve Seçer, İ. (2024) School refusal: mapping the literature by bibliometric analysis. Front. Psychol, 15.
  • Valencia Quecano, L. I., Guzmán Rincón, A., & Barragán Moreno, S. (2024). Dropout in postgraduate programs: A underexplored phenomenon – A scoping review. Cogent Education, 11(1).
  • Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
  • Véliz, P. J. ve Ortega, A. M. (2023). Dropout intentions in higher education: Systematic literature review. Journal on Efficiency and Responsibility in Education and Science, 16(2), 149-158.
  • Wang, W., Zhao, Y.L., Wu, Y.J., & Goh, M. (2022). Factors of dropout from MOOCs: a bibliometric review. Libr. Hi Tech, 41, 432-453.
  • Willging, P. and Johnson, S. (2019). Factors that influence students’ decision to dropout of online courses. Online Learning, 13(3). https://doi.org/10.24059/olj.v13i3.1659
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Eğitim Üzerine Çalışmalar (Diğer)
Bölüm Makaleler
Yazarlar

Gülden Kılıçaslan 0000-0002-6021-5594

Hatice Can Bu kişi benim 0000-0001-6943-2096

Tuğba Çetinkaya Bu kişi benim 0009-0008-3245-5196

Yayımlanma Tarihi 28 Ocak 2025
Gönderilme Tarihi 27 Eylül 2024
Kabul Tarihi 27 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 11 Sayı: 1

Kaynak Göster

APA Kılıçaslan, G., Can, H., & Çetinkaya, T. (2025). Açık ve uzaktan öğrenme ortamlarında öğrenim terki üzerine yapılan çalışmaların bibliyometrik analizi: Scopus örneği. Açıköğretim Uygulamaları Ve Araştırmaları Dergisi, 11(1), 62-87. https://doi.org/10.51948/auad.1556844