Review Article

Bibliometric analysis of articles on digital educational environments

Aza D. Ioseliani 1 , Natalia A. Orekhovskaya 1 , Marina N. Svintsova 1 , Evgeny G. Panov 1 , Elena M. Skvortsova 1 , Almira R. Bayanova 2 *
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1 Financial University Under the Government of the Russian Federation, Moscow, RUSSIA2 Kazan Federal University, Kazan, RUSSIA* Corresponding Author
Contemporary Educational Technology, 15(3), July 2023, ep426, https://doi.org/10.30935/cedtech/13100
Published Online: 21 March 2023, Published: 01 July 2023
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ABSTRACT

This study’s main objective is to present bibliometric data on articles related to digital educational environments (DEEs) published in the journals indexed in Scopus database between 2003 and February 2023. The data collected from 61 articles published within the study’s scope were subjected to bibliometric analysis based on six categories: number of articles and citations, most cited articles, most used keywords, most influential countries, most-important institutions, and the most important journals. This study was designed as a descriptive study and offers bibliometric network maps of the most popular papers, keywords and countries, institutions, and journals. VOS viewer was used to create network diagrams and bibliometric analyses. The bibliometric analysis showed that the most frequently used keywords were digital learning environment(s), digital educational environment. The most prolific authors related to DEE are Antón-Sancho, Vergara, Barana, and Marchisio. The results showed that DEE studies were started in 2003 and the most articles were published in 2021. This study presents a global perspective on DEEs and proposes vision for future research.
Keywords: digital educational environment, digital learning environment, digital transformation in educational environment, bibliometric analysis

CITATION (APA)

Ioseliani, A. D., Orekhovskaya, N. A., Svintsova, M. N., Panov, E. G., Skvortsova, E. M., & Bayanova, A. R. (2023). Bibliometric analysis of articles on digital educational environments. Contemporary Educational Technology, 15(3), ep426. https://doi.org/10.30935/cedtech/13100

REFERENCES

  1. Aldhafeeri, F. M., & Alotaibi, A. A. (2022). Effectiveness of digital education shifting model on high school students’ engagement. Education and Information Technologies, 27(5), 6869-6891. https://doi.org/10.1007/s10639-021-10879-4
  2. Anderson, T., & Dron, J. (2011). Three generations of distance education pedagogy. International Review of Research in Open and Distributed Learning, 12(3), 80-97. https://doi.org/10.19173/irrodl.v12i3.890
  3. Barak, M. (2014). Closing the gap between attitudes and perceptions about ICT-enhanced learning among pre-service STEM teachers. Journal of Science Education and Technology, 23, 1-14. https://doi.org/10.1007/s10956-013-9446-8
  4. Behl, A., Jayawardena, N., Pereira, V., Islam, N., Del Giudice, M., & Choudrie, J. (2022). Gamification and e-learning for young learners: A systematic literature review, bibliometric analysis, and future research agenda. Technological Forecasting and Social Change, 176, 121445. https://doi.org/10.1016/j.techfore.2021.121445
  5. Bornmann, L., & Mutz, R. (2015). Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references. Journal of the Association for Information Science and Technology, 66(11), 2215-2222. https://doi.org/10.1002/asi.23329
  6. Burch, P., Good, A., & Heinrich, C. (2016). Improving access to, quality, and the effectiveness of digital tutoring in K-12 education. Educational Evaluation and Policy Analysis, 38(1), 65-87. https://doi.org/10.3102/0162373715592706
  7. Chen, P. S. D., Lambert, A. D., & Guidry, K. R. (2010). Engaging online learners: The impact of web-based learning technology on college student engagement. Computers & Education, 54(4), 1222-1232. https://doi.org/10.1016/j.compedu.2009.11.008
  8. Chusni, M. M., Saputro, S., & Rahardjo, S. B. (2021). Student’s critical thinking skills through discovery learning model using e-learning on environmental change subject matter. European Journal of Educational Research, 10(3), 1123-1135. https://doi.org/10.12973/eu-jer.10.3.1123
  9. Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245. https://doi.org/10.1080/00131857.2020.1728732
  10. Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is not enough. The American Journal of Distance Education, 19(3), 133-148. https://doi.org/10.1207/s15389286ajde1903_2
  11. Graham, C. R. (2006). Blended learning systems. In J. B. Curtis, R. G. Charles, J. Cross, & G. M. Michael (Eds.), The handbook of blended learning: Global perspectives, local designs (pp. 3-21). Wiley.
  12. Gray, J. A., & DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. International Journal of Educational Leadership Preparation, 11(1), n1.
  13. Heitink, M., Voogt, J., Verplanken, L., van Braak, J., & Fisser, P. (2016). Teachers’ professional reasoning about their pedagogical use of technology. Computers & Education, 101, 70-83. https://doi.org/10.1016/j.compedu.2016.05.009
  14. Hsu, H. C. K., Wang, C. V., & Levesque-Bristol, C. (2019). Reexamining the impact of self-determination theory on learning outcomes in the online learning environment. Education and Information Technologies, 24, 2159-2174. https://doi.org/10.1007/s10639-019-09863-w
  15. Huang, A. Y., Lu, O. H., & Yang, S. J. (2023). Effects of artificial intelligence-enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom. Computers & Education, 194, 104684. https://doi.org/10.1016/j.compedu.2022.104684
  16. Kirschner, P., Strijbos, J. W., Kreijns, K., & Beers, P. J. (2004). Designing electronic collaborative learning environments. Educational Technology Research and Development, 52(3), 47-66. https://doi.org/10.1007/BF02504675
  17. Kocak, M., & Soylu, Y. (2022). Examining the general structure of learning environments designed in education: Bibliometric analysis between 1970 and 2022. Learning Environments Research. https://doi.org/10.1007/s10984-022-09452-8
  18. Kryukova, N. I., Chistyakov, A. A., Shulga, T. I., Omarova, L. B., Tkachenko, T. V., Malakhovsky, A. K., & Babieva N. S. (2022). Adaptation of higher education students’ digital skills survey to Russian universities. Eurasia Journal of Mathematics, Science and Technology Education, 18(11), em2183. https://doi.org/10.29333/EJMSTE/12558
  19. Masalimova, A. R., Erdyneeva, K. G., Kislyakov, A. S., Sizova, Z. M., Kalashnikova, E., & Khairullina, E. R. (2022). Validation of the scale on pre-service teachers’ digital competence to assist students with functional diversity. Contemporary Educational Technology, 14(4), ep382. https://doi.org/10.30935/cedtech/12301
  20. Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264-269. https://doi.org/10.7326/0003-4819-151-4-200908180-00135
  21. NCES. (2018). Teachers’ use of technology in their instruction. National Center for Education Statistics. https://nces.ed.gov/pubs2021/2021017.pdf
  22. Oschepkov, A. A., Kidinov, A. V., Babieva, N. S., Vrublevskiy, A. S., Egorova, E. V., & Zhdanov, S. P. (2022). STEM technology-based model helps create an educational environment for developing students' technical and creative thinking. Eurasia Journal of Mathematics, Science and Technology Education, 18(5), em2110. https://doi.org/10.29333/ejmste/12033
  23. Papamitsiou, A., Vlachopoulos, N., & Michalopoulou, N. (2016). The effectiveness of online education: A meta-analysis and review of the empirical research. Journal of Computer Assisted Learning, 32(3), 173-187.
  24. Papastergiou, M. (2009). Digital game-based learning in high school computer science education: Impact on educational effectiveness and student motivation. Computers & Education, 52(1), 1-12. https://doi.org/10.1016/j.compedu.2008.06.004
  25. Paprzycki, K. R., & Rau, K. O. (2017). The impact of online learning on student engagement and motivation: A meta-analytic review. Journal of Educational Technology Development and Exchange, 10(1), 1-20.
  26. Platonova, R. I., Khuziakhmetov, A. N., Prokopyev, A. I., Rastorgueva, N. E., Rushina, M. A., & Chistyakov, A. A. (2022). Knowledge in digital environments: A systematic review of literature. Frontiers in Education, 7, 1060455. https://doi.org/10.3389/feduc.2022.1060455
  27. Qarkaxhja, Y., Kryukova, N. I., Cherezova, Y. A., Rozhnov, S. N., Khairullina, E. R., & Bayanova, A. R. (2021). Digital transformation in education: Teacher candidate views on mobile learning. International Journal of Emerging Technologies in Learning, 16(19), 81-93. https://doi.org/10.3991/ijet.v16i19.26033
  28. Rojas-Sánchez, M. A., Palos-Sánchez, P. R., & Folgado-Fernández, J. A. (2023). Systematic literature review and bibliometric analysis on virtual reality and education. Education and Information Technologies, 28(1), 155-192. https://doi.org/10.1007/s10639-022-11167-5
  29. Santandreu Calonge, D., Aman Shah, M., Riggs, K., & Connor, M. (2019). MOOCs and upskilling in Australia: A qualitative literature study. Cogent Education, 6(1), 1687392. https://doi.org/10.1080/2331186X.2019.1687392
  30. Schöbel, S., Saqr, M., & Janson, A. (2021). Two decades of game concepts in digital learning environments–A bibliometric study and research agenda. Computers & Education, 173, 104296. https://doi.org/10.1016/j.compedu.2021.104296
  31. Sorakin, Y., Akarturk, H., Oznacar, B., Prokopyev, A. I., Burkhanova, I. Y., Musin, O. A., Shaleeva, E. F., & Krivonozhkina, E. G. (2022). Educational reflections on the coronavirus pandemic in three different countries. Eurasia Journal of Mathematics, Science and Technology Education, 18(11), em2180. https://doi.org/10.29333/ejmste/12514.
  32. Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi, G. S. (2021). Information technology and Gen Z: The role of teachers, the Internet, and technology in the education of young people. Technology in Society, 65, 101565. https://doi.org/10.1016/j.techsoc.2021.101565
  33. Yildirim, Y., & Celepcikay, A. (2021). Artificial intelligence and machine learning applications in education. Eurasian Journal of Higher Education, 2(4), 1-11. https://doi.org/10.31039/ejohe.2021.4.49
  34. Yilmaz, R. M., Topu, F. B., & Takkac Tulgar, A. (2022). An examination of the studies on foreign language teaching in pre-school education: A bibliometric mapping analysis. Computer Assisted Language Learning, 35(3), 270-293. https://doi.org/10.1080/09588221.2019.1681465
  35. Zhang, L., Carter Jr, R. A., Qian, X., Yang, S., Rujimora, J., & Wen, S. (2022). Academia’s responses to crisis: A bibliometric analysis of literature on online learning in higher education during COVID‐19. British Journal of Educational Technology, 53(3), 620-646. https://doi.org/10.1111/bjet.13191
  36. Zhdanov, S. P., Baranova, K. M., Udina, N., Terpugov, A. E., Lobanova, E. V., & Zakharova, O. V. (2022). Analysis of learning losses of students during the COVID-19 pandemic. Contemporary Educational Technology, 14(3), ep369. https://doi.org/10.30935/cedtech/11812