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E-Learning in Higher Education during the COVID-19 Pandemic: A Bibliometric Analysis Cover

E-Learning in Higher Education during the COVID-19 Pandemic: A Bibliometric Analysis

Open Access
|Jul 2023

References

  1. Akram, H., Aslam, S., Saleem, A., & Parveen, K. (2021). The Challenges of Online Teaching in COVID-19 Pandemic: A Case Study of Public Universities in Karachi, Pakistan. Journal of Information Technology Education: Research, 20, 263-282.
  2. Akram, H., Yingxiu, Y., Al-Adwan, A. S., & Alkhalifah, A. (2021). Technology Integration in Higher Education During COVID-19: An Assessment of Online Teaching Competencies Through Technological Pedagogical Content Knowledge Model. Frontiers in Psychology, 12, 736522.
  3. Amiti, F. (2020). SYNCHRONOUS AND ASYNCHRONOUS E-LEARNING. European Journal of Open Education and E-learning Studies, 5(2), 60-70.
  4. Braun, T., Glänzel, W., & Schubert, A. (1985). Scientometric indicators: a 32-country comparative evaluation of publishing performance and citation impact. Singapoge: World Scientific Publishing.
  5. Brika, S. M., Chergui, K., Algamdi, A., Musa, A. A., & Zouag, R. (2022). E-Learning Research Trends in Higher Education in Light of COVID-19: A Bibliometric Analysis. Front. Psychol. 12:762819.
  6. Cunill, O. M., Salva´, A. S., Gonzalez, L. O., & Mulet-Forteza, C. (2019). Thirty-fifth anniversary of the international journal of hospitality management: A bibliometric overview. International Journal of Hospitality Management, 78, 89-101.
  7. Daniel, S. J. (2020). Education and the COVID-19 pandemic. Prospects 49, 91–96.
  8. Djeki, E., Dégila, J., & Bondiombouy, C. (2022). E-learning bibliometric analysis from 2015 to 2020. Journal of Computers in Education, 9, 727–754.
  9. Elsevier. (2020). Elsevier. Scopus: Content Coverage Guide. Retrieved November 3, 2022, from https://www.elsevier.com/__data/assets/pdf_file/0007/69451/Scopus_ContentCoverage_Guide_WEB.pdf
  10. Fatima, N., & Abu, K. S. (2019). E-learning Research Papers in Web of Science: A Biliometric Analysis. Library Philosophy and Practice, 1-14.
  11. Fauzi, M. A. (2022). E-learning in higher education institutions during COVID-19 pandemic: current and future trends through bibliometric analysis. Helyon, 8(5), e09433.
  12. Gao, Y., Wong, S. L., Khambari, M. N., & Noordin, N. (2022). A Bibliometric Analysis of the Scientific Production of e-Learning in Higher Education (1998-2020). International Journal of Information and Education Technology, 12(5), 390-399.
  13. García-Morales, V. J., Garrido-Moreno, A., & Martín-Rojas, R. (2021). The Transformation of Higher Education After the COVID Disruption: Emerging Challenges in an Online Learning Scenario. Frontiers in Psychology.
  14. Garfield, E. (1955). Citation indexes for science. A new dimension indocumentation through association of ideas. Science, 122, 108-111.
  15. Gautam, P. (2020, Octomber 20). Advantages And Disadvantages Of Online Learning. eLearning Industry.
  16. Glanzel, W. (2003). Bibliometric as a research field: A course on theory and application of bibliometric indicators, Course Handouts. Retrieved November 2, 2022, from http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=B14025E135DC4D66544B3F4F8DB4DEBB?doi=10.1.1.606.6339&rep=rep1&type=pdf
  17. Godin, B. (2006). On the origins of bibliometrics. Scientometrics, 68(1), 109–133.
  18. Hrastinski, S. (2008). Asynchronous and Synchronous E-Learning. Educause Quarterly, 4, 51-55.
  19. Hussain, A., Fatima, N., & Kumar, D. (2011). Bibliometric analysis of the 'Electronic Library' journal (2000-2010). Webology, 8(1), 87.
  20. Ionescu, C. A., Paschia, L., Gudanescu Nicolau, N. L., Stanescu, S. G., Neacsu Stancescu, V. M., Coman, M. D., & Uzlau, M. C. (2020). Sustainability Analysis of the E-Learning Education System during Pandemic Period – COVID-19 in Romania. Sustainability, 12(21), 9030.
  21. Lin, C. L., Jin, Y. Q., & Zhao, Q. (2021). Factors Influence Students’ Switching Behavior to Online Learning under COVID-19 Pandemic: A Push–Pull–Mooring Model Perspective. The Asia-Pacific Education Researcher, 30, 229–245.
  22. Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317-323.
  23. Marinoni, G., Van't Land, H., & Jensen, T. (2020). The Impact of Covid-19 on Higher Education Around the World. IAU Global Survey Report. Retrieved December 22, 2022, from https://www.iau-aiu.net/IMG/pdf/iau_covid19_and_he_survey_report_final_may_2020.pdf
  24. Moreno-Guerrero, A. J., Aznar-Díaz, I., Cáceres-Reche, P., & Alonso-García, S. (2020). E-Learning in the Teaching of Mathematics: An Educational Experience in Adult High School. Mathematics, 8(5), 840.
  25. Mukhtar, K., Javed, K., Arooj, M., & Sethi, A. (2020). Advantages, Limitations and Recommendations for online learning during COVID-19 pandemic era. Pakistan Journal of Medical Sciences, 36(COVID19-S4), S27–S31.
  26. Nash-Stewart, C. E., Kruesi, L. M., & Del Mar, C. B. (2012). Does Bradford's Law of Scattering predict the size of the literature in Cochrane Reviews? Journal of the Medical Library Association, 100(2), 135–138.
  27. Oliviera, L. R., Fontes, R., Collus, J., & Cerisier, J. F. (2019). Video and online learning in higher education: A bibliometric analysis of the open acess scientific production, through Web of Science. Proceedings of INTED2019 Conference (pp. 8562-8567). Valencia: IATED.
  28. Palupi, M. E. (2022). The Difference Between Synchronous and Asynchronous Online Learning Communication During Covid-19 Pandemic. Journal of English Language and Literature, 7(1), 11-18.
  29. Price, D. J. (1961). Science Since Babylon. New Haven: Yale University Press.
  30. Price, D. J. (1963). Little science, big science. New York: Columbia University Press.
  31. Raman, A., Thannimalai, R., Don, Y., & Rathakrishnan, M. (2021). A Bibliometric Analysis of Blended Learning inHigher Education: Perception, Achievement and Engagement. International Journal of Learning, Teaching and Educational Research, 20(6), 126-151.
  32. Seetal, I., Gunness, S., & Teeroovengadum, V. (2021). Educational disruptions during the COVID-19 crisis in Small Island Developing States: Preparedness and efficacy of academics for online teaching. International Review of Education, 67, 185–217.
  33. Sobaih, A. E., Hasanein, A., & Elshaer, I. A. (2022). Higher Education in and after COVID-19: The Impact of Using Social Network Applications for E-Learning on Students’ Academic Performance. Sustainability, 14(9), 5195.
  34. Sobaih, A. E., Palla, I. A., & Baquee, A. (2022). Social Media Use in E-Learning amid COVID 19 Pandemic: Indian Students' Perspective. International journal of environmental research and public health, 19(9), 5380.
  35. Sobral, S. R. (2021). Two Decades of Research in e-Learning: A Deep Bibliometric Analysis. International Journal of Information and Education Technology, 11(9), 398-404.
  36. Stecuła, K., & Wolniak, R. (2022). Advantages and Disadvantages of E-Learning Innovations during COVID-19 Pandemic in Higher Education in Poland. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 159.
  37. Sudhier, K. G. (2010). Application of Bradford’s Law of Scattering to the Physics Literature: A Study of Doctoral Theses Citations at the Indian Institute of Science. DESIDOC Journal of Library & Information Technology, 30(2), 3-14.
  38. Thompson, D. F., & Walker, C. K. (2015). A descriptive and historical review of bibliometrics with applications to medical sciences. Pharmacotherapy, 35(6), 551-559.
  39. Tibaná-Herrera, G., Fernández-Bajón, M. T., & De Moya Anegón, F. (2018). Output, collaboration and impact of e-learning research: bibliometric analysis and visualizations at the country and institutional level (Scopus 2003-2016). Profesional de la información, 27(5), 1082–1096.
  40. Van-Eck, N. J., & Waltman, L. (2017). VOSviewer Manual. Retrieved December 8, 2022, from https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.6.pdf
  41. Van-Eck, N. J., & Waltman, L. (2019). VOSviewer software version 1.6.11, developed at Leiden University's Centre for Science and Technology Studies (CWTS). Available at https://www.vosviewer.com/.
  42. Verbeek, A., Debackere, K., Luwel, M., & Zimmermann, E. (2002). Measuring progress and evolution in science and technology – I: the multiple uses of bibliometric indicators. International Journal of Management Reviews, 4(2), 179-211.
  43. Wong, S. L., Nyakuma, B. B., Wong, K. Y., Lee, C. T., Lee, T. H., & Lee, C. H. (2020). Microplastics and nanoplastics in global food webs: A bibliometric analysis (2009–2019). Marine Pollution Bulletin, 158(111432), 1-15.
  44. Yeung, M. W., & Yau, A. H. (2022). A thematic analysis of higher education students’perceptions of online learning in Hong Kong under COVID-19: Challenges, strategies and support. Education and Information Technologies, 27, 181–208.
  45. Yeung, M. W., Yau, A. H., & Lee, C. Y. (2022). How should webcams be used in online learning under COVID-19: A co-orientation analysis of teachers' and students' perceptions of student social presence on webcam. Journal of Computer Assisted Learning, 1-18.
  46. Zhang, L., Carter, R. J., 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.
Language: English
Page range: 1858 - 1872
Published on: Jul 14, 2023
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Adina-Liliana Prioteasa, Carmen Nadia Ciocoiu, Laurențiu Lazăr, Mihaela Minciu, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution 4.0 License.