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

Yıl 2025, Cilt: 13 Sayı: 26, 1038 - 1065

Aydın Bulut

Öz

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.

Anahtar Kelimeler

Computer education , bibliometric , mapping

Etik Beyan

Due to the scope and method of the study, ethics committee permission was not required.

Kaynakça

• Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
• 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
• Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman.
• Biehl, M., Kim, H., & Wade, M. (2006). Relationships among the academic business disciplines: A multi-method citation analysis. Omega, 34(4), 359-371.
• 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
• 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
• 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
• 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
• 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
• 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
• Kantar, M., & Özpınar, İ. (2023). The effect of teaching data processing learning domain with vustat software activities on students’ academic achievement and retention of knowledge. Journal of Computer and Education Research, 11(22), 620-642. https://doi.org/10.18009/jcer.1321815
• Lee, S., Kuo, L.-J., Xu, Z., & Hu, X. (2020). The effects of technology integrated classroom instruction on K-12 English language learners’ literacy development: A meta-analysis. Computer Assisted Language Learning, 35(1), 1–32.
• Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLOS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
• Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106, 213–228. Öztuzcu, Ö., & Mısırlı, Z. A. (2023). Secondary School Teachers’ Self-Efficacy Beliefs Regarding Information Technology. Journal of Computer and Education Research, 11(22), 952-965. https://doi.org/10.18009/jcer.1344348
• 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
• Patel, P., Torppa, M., Aro, M., Richardson, U., & Lyytinen, H. (2018). GraphoLearn India: The effectiveness of a computer-assisted reading intervention in supporting struggling readers of English. Frontiers in Psychology, 9, 1045.
• Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), 12.
• Song, Y., Chen, X., Hao, T., Liu, Z., & Lan, Z. (2019). Exploring two decades of research on classroom dialogue by using bibliometric analysis. Computers & Education, 137, 12-31. https://doi.org/10.1016/j.compedu.2019.04.002
• Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183-1202. https://doi.org/10.1016/j.compedu.2006.11.007
• Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275. https://doi.org/10.1016/j.compedu.2015.11.008
• Taşdemir, C. (2023). Examination of mathematics course achievements of students who took the high school entrance exam in terms of different factors. Journal of Computer and Education Research, 11(21), 20-43. https://doi.org/10.18009/jcer.1197026
• Venkatesh, V. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
• Wu, H. K., Lee, S. W. Y., Chang, H. Y., & Liang, J. C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41–49. https://doi.org/10.1016/j.compedu.2012.10.024
• Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472.