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Dynamic Software in Mathematics Education Scoping Review and Bibliometric Analysis (ScoRBA)

This bibliometric study of 203 Scopus articles from 2011 to 2025 reveals a significant upward trend in research on dynamic software in mathematics education, highlighting GeoGebra as a dominant theme while identifying key gaps in computational thinking integration, adaptive learning, and primary school contexts.

Original authors: Hodiyanto Hodiyanto, Patrick Kyeremeh, Yunda Selvia, Sudriman Sudriman, Gemi Susanti, Siti Suprihatiningsih

Published 2026-08-18
📖 5 min read🧠 Deep dive

Original authors: Hodiyanto Hodiyanto, Patrick Kyeremeh, Yunda Selvia, Sudriman Sudriman, Gemi Susanti, Siti Suprihatiningsih

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine a classroom where students do not just stare at static drawings of shapes on a page, but instead reach out and pull at the corners of a triangle, watching its angles and side lengths change in real time. This is the world of dynamic software in mathematics education: interactive digital tools that let learners manipulate mathematical objects and see the results instantly. Instead of memorizing a fixed diagram, a student can drag a point along a curve to see how a function behaves, or stretch a geometric figure to test a hypothesis about its properties. For decades, researchers have studied how these tools help students understand geometry, algebra, and calculus. But as the number of studies has grown, a new question has emerged: is this field simply getting bigger, or is it actually getting smarter? Are researchers focusing on the right questions, such as how teachers learn to use these tools or how they fit into the daily life of a school, or are they just counting how many times a specific program is mentioned?

To answer this, a team of researchers from Indonesia and the United States conducted a large-scale map of the field, looking at every relevant study published over the last fifteen years. They gathered 203 articles from a major global database of scientific literature, filtering them down to ensure they were focused on mathematics education and written in English. Using specialized computer software, they did not just read these papers; they analyzed the patterns hidden within them. They looked at who was writing, where they were writing from, which journals were publishing the work, and what words appeared most often in the titles and abstracts. This approach allowed them to see the forest rather than just the trees, revealing the overall shape of the research landscape and identifying where the field is heading.

The results show that interest in this topic is growing rapidly. While the number of studies fluctuated in the early years, there has been a sharp increase in publications since 2023. The research is not coming from a single source but is a global effort, with China and the United States leading the way, followed closely by Turkey, the United Kingdom, and Germany. The most productive journal in this space is the International Journal of Mathematical Education in Science and Technology, which has published more articles on the subject than any other. One researcher, M. Stupel, stands out as the most frequent author, having contributed six of the selected studies, often focusing on how these tools help students prove mathematical theorems. The institutions driving this work are diverse, ranging from religious teachers' colleges in Israel to major research universities in China and the United States, showing that the conversation about these tools is happening across many different educational cultures.

When the researchers looked at the topics themselves, they found that the field has split into three main areas of focus. The first and largest group is centered on mathematics education and teaching, where the most common tools are dynamic geometry software like GeoGebra. This area focuses on helping students visualize shapes, solve problems, and understand concepts through interaction. The second group deals with complex mathematical systems, such as chaos theory and nonlinear equations, where software is used to simulate behaviors that are too difficult to calculate by hand. The third group involves computational mathematics, using software to model real-world problems like forestry or data analysis. While these areas are distinct, the researchers found that the connection between the educational side and the complex mathematical side is still quite weak. In other words, the tools used to teach basic geometry are not yet deeply integrated with the advanced simulations used in higher-level math research.

Despite the growth in the number of studies, the analysis revealed significant gaps in what is being studied. Most of the research concentrates on high school and university students, leaving the elementary school level largely unexplored. There is also very little work on how these tools can be used to teach computational thinking or how they might adapt to individual students' needs. Furthermore, while many studies show that these tools can improve test scores, fewer studies explain how teachers actually learn to use them effectively in the classroom. The research suggests that simply having the software is not enough; the key lies in how teachers design lessons and guide students through the exploration. The authors note that many studies rely on small-scale projects or specific software tasks, which makes it difficult to see the bigger picture of how these tools fit into a school system as a whole.

The paper concludes that while the field is expanding, it needs to move beyond simply proving that the technology works. The future of this research lies in understanding the human elements: how teachers develop the knowledge to orchestrate these digital tools, how curriculum designers can weave them into daily lessons, and how to make these resources available to students in all contexts, not just those with the best technology. The researchers suggest that the next step is to look more closely at how these tools can support deeper learning, such as helping students move from visual experimentation to formal mathematical reasoning. They also encourage more international collaboration, noting that researchers from developing countries have a vital role to play in shaping a field that is becoming increasingly global. Ultimately, the study confirms that dynamic software is a powerful part of mathematics education, but its true value will depend on how well it is connected to the people who use it and the environments in which it is taught.

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