Review Article

Journal of ‘Computers & Education’ from Past to Present: Bibliomeric Analysis (1978-2025)

Volume: 13 Number: 26 October 21, 2025
EN TR

Journal of ‘Computers & Education’ from Past to Present: Bibliomeric Analysis (1978-2025)

Abstract

This study presents a comprehensive bibliometric analysis of Computers & Education, a leading academic journal in the field of educational technology, covering the period from 1978 to 2025. Drawing upon data from the Web of Science database, a total of 4,715 articles were examined using bibliometric techniques, including co-citation, co-authorship, keyword co-occurrence, and thematic evolution analysis. The findings reveal a significant increase in publication volume and citation rates, particularly after 2008, indicating a growing scholarly interest in digital education. Thematic clustering analyses identified three dominant research foci: student performance and achievement, technology-enhanced learning and motivation, and user acceptance and self-efficacy. Furthermore, collaboration networks show that Taiwan, China, the USA, and the UK are central hubs in the global educational technology research landscape. Thematic evolution analysis reveals a paradigm shift from early discussions on "computer and distance education" toward more recent emphases on "digital content," "virtual learning," and "student-centered design." This study contributes to the literature by mapping structural patterns and identifying key trends, prolific authors, institutions, and countries, offering a macro-level understanding of how Computers & Education has shaped the educational technology discourse over nearly five decades.

Keywords

Computer education , bibliometric , mapping

References

  1. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
  2. Arici, F., Yildirim, P., Caliklar, Ş., & Yilmaz, R. M. (2019). Research trends in the use of augmented reality in science education: Content and bibliometric mapping analysis. Computers & Education, 142, 103647. https://doi.org/10.1016/j.compedu.2019.103647
  3. Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman.
  4. Biehl, M., Kim, H., & Wade, M. (2006). Relationships among the academic business disciplines: A multi-method citation analysis. Omega, 34(4), 359-371.
  5. Chen, M. R. A., Hwang, G. J., Majumdar, R., Toyokawa, Y., & Ogata, H. (2021). Research trends in the use of e-books in English as a foreign language (EFL) education from 2011 to 2020: A bibliometric and content analysis. Interactive Learning Environments, 1–17. https://doi.org/10.1080/10494820.2021.2001552
  6. Dağdalan, G., Taş, E., & Kaya, E. (2021). The effects of virtual reality and animation supported science education on students’ some learning products. Journal of Computer and Education Research, 9(17), 62-79. https://doi.org/10.18009/jcer.818342
  7. 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. https://doi.org/10.1016/j.jbusres.2021.04.070
  8. Ertmer, P. A. (2012). Teacher beliefs and technology integration practices: A critical relationship. Computers & Education, 59(2), 423–435. https://doi.org/10.1016/j.compedu.2012.02.001
  9. Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. The FASEB Journal, 22(2), 338–342. https://doi.org/10.1096/fj.07-9492LSF
  10. Heradio, R., De La Torre, L., Galan, D., Cabrerizo, F. J., Herrera-Viedma, E., & Dormido, S. (2016). Virtual and remote labs in education: A bibliometric analysis. Computers & Education, 98, 14-38. https://doi.org/10.1016/j.compedu.2016.03.010
APA
Bulut, A. (2025). Journal of ‘Computers & Education’ from Past to Present: Bibliomeric Analysis (1978-2025). Journal of Computer and Education Research, 13(26), 1038-1065. https://doi.org/10.18009/jcer.1662250