Abstract
Visualization is central to mathematical cognition, though the study of visualization in mathematical education (VME) has taken diverse, interdisciplinary directions. This paper seeks to critically chart the intellectual landscape, conceptual development, and research nature of VME literature. A revised bibliometric search strategy was implemented in the Scopus database using an expanded TITLE-ABS-KEY query that combined visualization-related terms with mathematics-education-specific terms. After applying document type, language, publication-year, duplicate-removal, and relevance-screening criteria, a final corpus of 279 journal articles published between 2014 and 2024 was retained for analysis. VOSviewer and Biblioshiny were used to conduct bibliometric mapping, thematic analysis, and temporal evolution to analyze patterns of publications, journals, and authors that emerged and disappeared, as well as influential collaboration patterns, thematic clusters, and research directions. Results indicate that studies on VME have been gradually increasing, with major contributions from the social sciences, mathematics, and computer science. The findings also indicate uneven geographical distribution and varying thematic concentration across VME research. This research offers a synthesis of VME research, organized by structural, thematic, and temporal perspectives. Also, the findings contribute to future visualization-focused mathematics education research by supporting stronger theoretical integration, methodological soundness, and broader contextual and technological representation across diverse educational settings.
- Abrahamson, D., & Sánchez-García, R. (2016). Learning is moving in new ways: The ecological dynamics of mathematics education. Journal of the Learning Sciences, 25(2), 203–239. https://doi.org/10.1080/10508406. 2016.1143370
- Acar, E., Deiri, Y., & Yigit, F. (2025). A focused review of artificial intelligence in education: Evolution and challenges. Journal of Interdisciplinary Research in Artificial Intelligence and Society, 1(1), 3. https://doi.org/ 10.20897/jirais/17640
- Arcavi, A. (2003). The role of visual representations in the learning of mathematics. Educational Studies in Mathematics, 52(3), 215–241. https://doi.org/10.1023/a:1024312321077
- Asanre, A. A., Oguntola, J. I., Ramatea, M. A., & Lawani, A. O. (2026). Enhancing mathematics retention through seeing-AI: A quasi-experimental study among visually impaired junior secondary students in Ogun State, Nigeria. European Journal of STEM Education, 11(1), 18. https://doi.org/10.20897/ejsteme/18268
- Assefa, S. G., & Rorissa, A. (2013). A bibliometric mapping of the structure of STEM education using co-word analysis. Journal of the American Society for Information Science and Technology, 64(12), 2513–2536. https://doi.org/10.1002/asi.22917
- August, S. E., Hammers, M. L., Murphy, D. B., Neyer, A., Gueye, P., & Thames, R. Q. (2016). Virtual engineering sciences learning lab: Giving STEM education a second life. IEEE Transactions on Learning Technologies, 9(1), 18–30. https://doi.org/10.1109/tlt.2015.2419253
- Bakir, F. A., & Banikhalaf, M. H. (2025). Art-based learning and its role in enhancing students’ scientific color expression skills. Asia Pacific Journal of Education and Society, 13(2), 3. https://doi.org/10.20897/apjes/17467
- Battista, M. T. (1990). Spatial visualization and gender differences in high school geometry. Journal for Research in Mathematics Education, 21(1), 47. https://doi.org/10.2307/749456
- Börner, K., Bueckle, A., & Ginda, M. (2019). Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments. Proceedings of the National Academy of Sciences of the United States of America, 116(6), 1857–1864. https://doi.org/10.1073/pnas.1807180116
- Burte, H., Gardony, A. L., Hutton, A., & Taylor, H. A. (2017). Think3d!: Improving mathematics learning through embodied spatial training. Cognitive Research: Principles and Implications 2017 2:1, 2(1), 13-. https://doi.org/10.1186/s41235-017-0052-9
- Cevikbas, M., Kaiser, G., & Schukajlow, S. (2024). Trends in mathematics education and insights from a meta-review and bibliometric analysis of review studies. ZDM Mathematics Education, 56(2), 165–188. https://doi.org/10.1007/s11858-024-01587-7
- Deda, Y. N., Disnawati, H., Tamur, M., & Rosa, M. (2024). Global trend of ethnomathematics studies of the last decade: A bibliometric analysis. Infinity Journal, 13(1), 233–250. https://doi.org/10.22460/infinity.v13i1.p233-250
- Dalgalıdere, S. (2025). Generative artificial intelligence in crisis journalism: A comparative analysis of ChatGPT and Gemini news texts. ISophos: International Journal of Information, Technology and Philosophy, 8(15), 1-11. https://doi.org/10.20897/isophos/18446
- Dogutas, A. (2025). A comparative analysis of immigrant children’s educational policies: Türkiye and the United States. European Journal of Education & Language Review, 1(1), Article 2. https://doi.org/10.20897/ejelr/17313
- Drijvers, P., & Sinclair, N. (2023). The role of digital technologies in mathematics education: purposes and perspectives. ZDM Mathematics Education, 56(2), 239–248. https://doi.org/10.1007/s11858-023-01535-x
- Duval, R. (2017). Registers of semiotic representations and analysis of the cognitive functioning of mathematical thinking. In R. Duval (Ed.), Understanding the mathematical way of thinking – The registers of semiotic representations (1st ed., pp. 45–71). Springer International Publishing. https://doi.org/10.1007/978-3-319-56910-9_3
- Faridi, H., Tuli, N., Mantri, A., Singh, G., & Gargrish, S. (2021). A framework utilizing augmented reality to improve critical thinking ability and learning gain of the students in Physics. Computer Applications in Engineering Education, 29(1), 258–273. https://doi.org/10.1002/cae.22342
- Gil-Doménech, D., Berbegal-Mirabent, J., & Merigó, J. M. (2020). STEM education: A bibliometric overview. In J. C. Ferrer-Comalat, S. Linares-Mustarós, J. M. Merigó, & J. Kacprzyk (Eds.), Advances in Intelligent Systems and Computing (Vol. 894, pp. 193–205). Springer, Cham. https://doi.org/10.1007/978-3-030-15413-4_15
- Gilligan, K. A., Thomas, M. S. C., & Farran, E. K. (2020). First demonstration of effective spatial training for near transfer to spatial performance and far transfer to a range of mathematics skills at 8 years. Developmental Science, 23(4), e12909. https://doi.org/10.1111/desc.12909
- Godfred, A., Bayaga, A., & Bosse, M. J. (2021). Analysis of rural-based pre-service teachers spatial-visualisation skills in problem solving in vector calculus using MATLAB. International Journal of Emerging Technologies in Learning (IJET), 16(10), 125–149. https://doi.org/10.3991/ijet.v16i10.19269
- Grewe, F. (2025). The need for diffraction in STEM-fields: An ethical feminist consideration of the concept of gender scripting. Feminist Encounters: A Journal of Critical Studies in Culture and Politics, 9(2), 28. https://doi.org/10.20897/femenc/16786
- Hadi, W., & Csíkos, C. (2025). A systematic review on visualization in mathematical problem-solving in secondary schools. European Journal of Science and Mathematics Education, 13(4), 352–367. https://doi.org/ 10.30935/scimath/17410
- Hadi, W., & Kamarullah, K. (2024). Students’ creative thinking ability using project-based learning based on augmented reality (AR). Vietnam Journal of Educational Sciences, 20(1), 72–80. https://doi.org/10.15625/2615-8965/22410106
- Julius, R., Halim, M. S. A., Hadi, N. A., Alias, A. N., Khalid, M. H. M., Mahfodz, Z., & Ramli, F. F. (2021). Bibliometric analysis of research in mathematics education using Scopus database. Eurasia Journal of Mathematics, Science and Technology Education, 17(12), em2040. https://doi.org/10.29333/ejmste/11329
- Kamarullah, K., Hasrina, N., Istiarsyah, I., Singh, A. K. J., & Maulya, R. (2024). A bibliometric analysis of English teaching in inclusive education using Scopus data. Langkawi: Journal of The Association for Arabic and English, 10(2), 148–164. https://doi.org/10.31332/lkw.v0i0.7301
- Lamb, R., Akmal, T., & Petrie, K. (2015). Development of a cognition-priming model describing learning in a STEM classroom. Journal of Research in Science Teaching, 52(3), 410–437. https://doi.org/10.1002/tea.21200
- Lee, J., & Budwig, N. (2024). How students make sense of mentorship experiences during the transition from high school to college: A positioning analysis. American Journal of Qualitative Research, 8(3), 167-192. https://doi.org/10.29333/ajqr/14894
- Mailili, W., Ijirana, I., Rizall, M., & Hadi, W. (2025). Mapping the evolution of cultural and problem-based approaches in mathematics education: A bibliometric review from 2000 to 2024. Jurnal Pendidikan MIPA, 26(4), 2799–2817. https://doi.org/10.23960/jpmipa.v26i4.pp2799-2817
- Petrov, P. D., & Atanasova, T. V. (2020). The effect of augmented reality on students’ learning performance in STEM education. Information, 11(4), 209. https://doi.org/10.3390/info11040209
- Presmeg, N. (2006). Research on visualization in learning and teaching mathematics. In Á. Guttiérez & P. Boero (Eds.), Research on the psychology of mathematics education: Past, present, and future (pp. 205–235). https://doi.org/ 10.1163/9789087901127_009
- Putra, A. P., Akrim, A., & Dalle, J. (2020). Integration of high-tech communication practices in teaching of biology in Indonesian higher education institutions. International Journal of Education and Practice, 8(4), 746–758. https://doi.org/10.18488/journal.61.2020.84.746.758
- Schoenherr, J., & Schukajlow, S. (2024). Characterizing external visualization in mathematics education research: A scoping review. ZDM Mathematics Education, 56(1), 73–85. https://doi.org/10.1007/s11858-023-01494-3
- Schoenherr, J., Strohmaier, A. R., & Schukajlow, S. (2024). Learning with visualizations helps: A meta-analysis of visualization interventions in mathematics education. Educational Research Review, 45, 100639. https://doi.org/10.1016/j.edurev.2024.100639
- Sedig, K., & Sumner, M. (2006). Characterizing interaction with visual mathematical representations. International Journal of Computers for Mathematical Learning 2006 11:1, 11(1), 1–55. https://doi.org/10.1007/s10758-006-0001-z
- Suherman, I., Siti Pupu Fauziah, R., Maryani, N., & Khusnul Lathifah, Z. (2023). A bibliometric analysis of technological-based educational supervision research using VOSviewer. Journal of Engineering Science and Technology, 18(3), 49–56. https://jestec.taylors.edu.my/Special%20Issue%20ISCoE%202022_2.htm
- Tao, A., Huang, Y., Shinohara, Y., Caylor, M. L., Pashikanti, S., & Xu, D. (2018). ezCADD: A rapid 2D/3D visualization-enabled web modeling environment for democratizing computer-aided drug design. Journal of Chemical Information and Modeling, 59(1), 18–24. https://doi.org/10.1021/acs.jcim.8b00633
- Thi-Nga, H., Thi-Binh, V., & Nguyen, T. T. (2024). Metacognition in mathematics education: From academic chronicle to future research scenario–A bibliometric analysis with the Scopus database. Eurasia Journal of Mathematics, Science and Technology Education, 20(4), em2427. https://doi.org/10.29333/ejmste/14381
- Umeh, E. C. (2025). Math-trivium framework for newcomer students: Orientation for high school teachers on equitable, inclusive instruction. Journal of Ethnic and Cultural Studies, 12(2), 178–199. https://doi.org/ 10.29333/ejecs/2209
- 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
- Wahyuni, R., Juniati, D., & Wijayanti, P. (2025). Mathematics anxiety in mathematics education: A bibliometrics analysis. Journal of Education and Learning (EduLearn), 19(1), 380–393. https://doi.org/10.11591/ edulearn.v19i1.21768
- Zengin, Y. (2017). Investigating the use of the Khan Academy and mathematics software with a flipped classroom approach in mathematics teaching. Educational Technology & Society, 20(2), 89–100. https://doi.org/10.30191/ets.201704_20(2).0008
- Zhumabay, N., Varis, S., Abylkassymova, A., Balta, N., Bakytkazy, T., & Bowen, G. M. (2024). Mapping the Kazakhstani STEM education landscape: A review of national research. European Journal of STEM Education, 9(1), Article 16. https://doi.org/10.20897/ejsteme/15576
APA 7th edition
In-text citation: (Hadi et al., 2026)
Reference: Hadi, W., Kamarullah, K., & Csíkos, C. (2026). Visualization in mathematics education: Research trends and thematic evolution.
European Journal of STEM Education, 11(1), Article 36.
https://doi.org/10.20897/ejsteme/18864
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Hadi W, Kamarullah K, Csíkos C. Visualization in mathematics education: Research trends and thematic evolution.
European Journal of STEM Education. 2026;11(1), 36.
https://doi.org/10.20897/ejsteme/18864
Chicago
In-text citation: (Hadi et al., 2026)
Reference: Hadi, Windia, Kamarullah Kamarullah, and Csaba Csíkos. "Visualization in mathematics education: Research trends and thematic evolution".
European Journal of STEM Education 2026 11 no. 1 (2026): 36.
https://doi.org/10.20897/ejsteme/18864
Harvard
In-text citation: (Hadi et al., 2026)
Reference: Hadi, W., Kamarullah, K., and Csíkos, C. (2026). Visualization in mathematics education: Research trends and thematic evolution.
European Journal of STEM Education, 11(1), 36.
https://doi.org/10.20897/ejsteme/18864
MLA
In-text citation: (Hadi et al., 2026)
Reference: Hadi, Windia et al. "Visualization in mathematics education: Research trends and thematic evolution".
European Journal of STEM Education, vol. 11, no. 1, 2026, 36.
https://doi.org/10.20897/ejsteme/18864
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Hadi W, Kamarullah K, Csíkos C. Visualization in mathematics education: Research trends and thematic evolution. European Journal of STEM Education. 2026;11(1):36.
https://doi.org/10.20897/ejsteme/18864