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Bibliometric Analysis of Educational Research on Coding Listed in Web of Science with Vosviewer

Year 2025, Volume: 12 Issue: 5, 225 - 254, 01.09.2025
https://doi.org/10.17275/per.25.71.12.5

Abstract

The 21st century is often referred to as the digital age due to the rapid development of technology. As technology advances, people's needs, behaviors, and lifestyles are also evolving. To keep pace with these changes, individuals must acquire certain skills that are considered essential for the 21st century, one of which is coding. Many countries have incorporated coding education into their curricula to help students develop these skills. However, with the growing volume of research on coding, reviewing and analyzing the increasing number of studies has become more challenging, necessitating the use of bibliometric methods. This study focuses on educational research related to coding (programming) published in the Web of Science (WOS), using an innovative bibliometric analysis approach. A review of the literature revealed that the terms "coding" and "programming" are often used interchangeably. Therefore, the research was narrowed down to educational studies that included the keywords "coding" or "programming" in the title, as listed in WOS. By October 2023, a total of 20,519 studies were identified. Through this analysis, the current state of educational research on coding was examined, highlighting the contributions of authors, institutions, and countries to the field. Data analysis was conducted using the VOSviewer program, which supported various methods such as citation analysis, co-authorship analysis, keyword analysis and bibliographic coupling analysis. The results were organized under several headings, and recommendations were made based on the findings.

References

  • Akdemir, S., & Sey, N. (2020). Hindistan ekonomisinin büyüme dinamikleri: SVAR analizi [Growth dynamics of the Indian economy: A SVAR analysis]. Ekonomik ve Sosyal Araştırmalar Dergisi [Journal of Economic and Social Research], 16(1), 41–62
  • Balanskat, A., & Engelhardt, K. (2014). Computing our future: Computer programming and coding - Priorities, school curricula and initiatives across Europe. European Schoolnet. http://www.eun.org/resources/detail?publicationID=481
  • Barak, A. Y. (2022). A bibliometric analysis of idiosyncratic volatility literature in emerging markets (Master’s thesis). Adana Alparslan Türkeş Science and Technology University. https://tez.yok.gov.tr/UlusalTezMerkezi/TezGoster?key=qVqOZFj2DwNmvdf1oGFYiMEbh_LF4O1NawMKLYrbm4sUWmKlGl1_0hgOg42ze3gL
  • Bers, M. U. (2018). Coding and computational thinking in early childhood: The impact of ScratchJr in Europe. European Journal of STEM Education, 3(3), 8.
  • Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational thinking and tinkering: Exploration of an early childhood robotics curriculum. Computers & Education, 72, 145–157. https://doi.org/10.1016/j.compedu.2013.10.020
  • Broadus, R. N. (1987). Toward a definition of bibliometrics. Scientometrics, 12(5–6), 373–379. https://doi.org/10.1007/BF02016680 WE - Social Science Citation Index (SSCI)
  • Cabrera Delgado, J. M. (2015). Programación informática y robótica en la enseñanza básica. Avances En Supervisión Educativa.
  • Chen, G. H., Shen, J., Barth-Cohen, L., Jiang, S. Y., Huang, X. T., & Eltoukhy, M. (2017). Assessing elementary students’ computational thinking in everyday reasoning and robotics programming. Computers & Education, 109, 162–175. https://doi.org/10.1016/j.compedu.2017.03.001
  • Civelek Uzun, Ş. (2022). İstanbul Üniversitesi'nin sosyal bilimler alanındaki bilimsel araştırma üretkenliğinin ve bilimsel işbirliklerinin bibliyometrik ve sosyal ağ analizi yöntemleriyle incelenmesi [A study of research productivity and scientific collaborations of the disciplines in social sciences in the University of Istanbul by bibliometric and social network analysis methods] (Master’s thesis). İstanbul University. https://tez.yok.gov.tr/UlusalTezMerkezi/TezGoster?key=RsTBl6RWK25OBMIKtIgYYbxG0rb6kQNVPVjqfsSyNAYMQMVmLJvooHbkjx-pC2nH
  • Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525
  • Codeweek.eu. (2024). EU code week. Codeweek.Eu. https://codeweek.eu/scoreboard?edition=2023
  • Ding, Y., Zhang, G., Chambers, T., Song, M., Wang, X. L., & Zhai, C. X. (2014). Content-based citation analysis: The next generation of citation analysis. Journal of the Association for Information Science and Technology, 65(9), 1820–1833. https://doi.org/10.1002/asi.23256
  • Dorling, M., & White, D. (2015). Scratch: A way to logo and python. Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 191–196.
  • Durak, H. Y., & Saritepeci, M. (2018). Analysis of the relation between computational thinking skills and various variables with the structural equation model. COMPUTERS & EDUCATION, 116, 191–202. https://doi.org/10.1016/j.compedu.2017.09.004
  • Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/s11192-015-1645-z
  • Ezeamuzie, N. O., & Leung, J. S. C. (2022). Computational thinking through an empirical lens: A systematic t-review of literature. Journal of Educational Computing Research, 60(2), 481–511. https://doi.org/10.1177/07356331211033158
  • 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/https://doi.org/10.1096/fj.07-9492LSF
  • Gökkurt, Ö. (1997). Citation indeks ve citation analizi: Enformetrik bir model çalışması [Citation index and citation analysis: A study of informetrics model] (Doctoral dissertation). Ankara University. https://tez.yok.gov.tr/UlusalTezMerkezi/TezGoster?key=Eb5EkakJlp3olBdo_wNEGQkOycNDGuYvSfKZ8MOAwi3HHY3GzjuuRXoDh78qAzgS
  • Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38–43.
  • Haymana, İ., & Özalp, D. (2020). The effects of robotics and coding training on 4th grade students’ creative thinking skills. Journal of the Faculty of Education, Istanbul Aydin University, 6(2), 247–274. https://dergipark.org.tr/tr/pub/iauefd/822431
  • Hsu, T. C., Chang, S. C., & Hung, Y. T. (2018). How to learn and how to teach computational thinking: Suggestions based on a review of the literature. Computers & Education, 126, 296–310. https://doi.org/10.1016/j.compedu.2018.07.004
  • Kalelioglu, F., & Gülbahar, Y. (2014). The Effects of Teaching Programming via Scratch on Problem Solving Skills: A Discussion from Learners’ Perspective. Informatics in Education, 13(1), 33-50
  • Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25. https://doi.org/https://doi.org/10.1002/asi.5090140103
  • Kim, S., & Kim, H. Y. (2018). A computational thinking curriculum and teacher professional development in South Korea. Computational Thinking in the STEM Disciplines: Foundations and Research Highlights, 165–178.
  • Kong, S. C. (2016). A framework of curriculum design for computational thinking development in K-12 education. Journal of Computers in Education, 3(4), 377–394. https://doi.org/10.1007/s40692-016-0076-z
  • Li, J., Burnham, J. F., Lemley, T., & Britton, R. M. (2010). Citation analysis: Comparison of web of science®, scopusTM, scifinder®, and google scholar. Journal of Electronic Resources in Medical Libraries, 7(3), 196–217. https://doi.org/10.1080/15424065.2010.505518
  • Luxton-Reilly, A., Simon, Albluwi, I., Becker, B. A., Giannakos, M., Kumar, A. N., Ott, L., Paterson, J., Scott, M. J., Sheard, J., & Szabo, C. (2018). Introductory Programming: A Systematic Literature Review. ITICSE 2018 Companion: Proceedings Companion of The 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE), 55–106. https://doi.org/10.1145/3293881.3295779
  • Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015). An overview of fuzzy research with bibliometric indicators. Applied Soft Computing, 27, 420–433. https://doi.org/https://doi.org/10.1016/j.asoc.2014.10.035
  • Moral-Munoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de La Informacion, 29(1). https://doi.org/10.3145/epi.2020.ene.03
  • National Research Council. (2010). Report of a workshop on the scope and nature of computational thinking. National Academies Press. https://doi.org/10.17226/12840
  • Nouri, J., Zhang, L., Mannila, L., & Norén, E. (2020). Development of computational thinking, digital competence and 21st century skills when learning programming in K-9. Education Inquiry, 11(1), 1–17.
  • Osareh, F. (1996). Bibliometrics, citation analysis, and co-citation analysis: A review of literature I. Libri, 46(3), 149–158.
  • Othman, M. K., Jazlan, S., Yamin, F. A., Aman, S., Mohamad, F. S., Anuar, N. N., Saleh, A. Y., & Manaf, A. A. A. (2023). Mapping computational thinking skills through digital games co-creation activity amongst Malaysian sub-urban children. Journal of Educational Computing Research, 61(2), 355–389. https://doi.org/10.1177/07356331221121106
  • Papert, S. (1980). Microworlds: Incubators for knowledge. Mindstorms-Children, Computers and Powerful Ideas, 120–134.
  • Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., & Silverman, B. (2009). Scratch: programming for all. Communications of the ACM, 52(11), 60–67.
  • Sayın, Z., & Seferoğlu, S. S. (2016). Yeni bir 21. yüzyil becerisi olarak kodlama eğitimi ve kodlamanin eğitim politikalarina etkisi [Coding Education as a new 21st Century Skill and its Effect on Educational Policies]. Academik Informatics 2016, Adnan Menderes University, Aydın
  • Sengupta, I. N. (1992). Bibliometrics, informetrics, scientometrics and librametrics: An overview. Library Science with a Slant to Documentation and Information Studies, 29(1), 33–38.
  • Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. https://doi.org/10.1016/j.edurev.2017.09.003
  • Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. https://doi.org/https://doi.org/10.1002/asi.4630240406
  • Tang, X. D., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. M. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148. https://doi.org/10.1016/j.compedu.2019.103798
  • Tikva, C., & Tambouris, E. (2021). Mapping computational thinking through programming in K-12 education: A conceptual model based on a systematic literature Review. Computers & Education, 162. https://doi.org/10.1016/j.compedu.2020.104083
  • Uddin, S., Hossain, L., Abbasi, A., & Rasmussen, K. (2012). Trend and efficiency analysis of co-authorship network. Scientometrics, 90(2), 687–699. https://doi.org/10.1007/s11192-011-0511-x
  • Ulakbim Cahit Arf Information Center. (2023). Frequently asked questions about bibliometric analysis. Ulakbim Cahit Arf Information Center. https://cabim.ulakbim.gov.tr/bibliyometrik-analiz/bibliyometrik-analiz-sikca-sorulan-sorular/
  • van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/S11192-009-0146-3/FIGURES/7
  • Williamson, B. (2017). Coding for what? Lessons from computing in the curriculum. Code Acts in Educafion.
  • Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.
  • Wing, J. M. (2017). Computational thinking’s influence on research and education for all. Italian Journal of Educational Technology, 25(2), 7–14.
  • Wu, L., Looi, C.-K., Multisilta, J., How, M.-L., Choi, H., Hsu, T.-C., & Tuomi, P. (2020). Teacher’s perceptions and readiness to teach coding skills: A comparative study between Finland, Mainland China, Singapore, Taiwan, and South Korea. The Asia-Pacific Education Researcher, 29, 21–34.
  • Yıldız, M., Çiftçi, E., & Karal, H. (2017). Bilişimsel düşünme ve programlama [Computational thinking and programming]. In H. F. Odabaş, B. Akkoyunlu, & A. İşman (Eds.), Eğitim teknolojileri okumaları [Readings in educational technologies] (pp. 75–86). TOJET.
  • Yılmaz, K. (2021). Sosyal bilimlerde ve eğitim bilimlerinde sistematik derleme, meta değerlendirme ve bibliyometrik analizler [Systematic review, meta evaluation, and bibliometric analysis in social sciences and educational sciences]. MANAS Sosyal Araştırmalar Dergisi [MANAS Journal of Social Studies], 10(2), 1457–1490. https://doi.org/10.33206/mjss.791537
There are 50 citations in total.

Details

Primary Language English
Subjects Specialist Studies in Education (Other)
Journal Section Research Articles
Authors

Orhan Duman 0000-0002-2264-358X

Şemseddin Gündüz 0000-0003-1075-0043

Early Pub Date September 6, 2025
Publication Date September 1, 2025
Submission Date April 17, 2025
Acceptance Date May 6, 2025
Published in Issue Year 2025 Volume: 12 Issue: 5

Cite

APA Duman, O., & Gündüz, Ş. (2025). Bibliometric Analysis of Educational Research on Coding Listed in Web of Science with Vosviewer. Participatory Educational Research, 12(5), 225-254. https://doi.org/10.17275/per.25.71.12.5