| Issue |
EPJ Web Conf.
Volume 344, 2025
AI-Integrated Physics, Technology, and Engineering Conference (AIPTEC 2025)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 10 | |
| Section | AI-Integrated Physics, Technology, and Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202534401005 | |
| Published online | 22 December 2025 | |
https://doi.org/10.1051/epjconf/202534401005
Bridging the gap across global research on numeracy assessment in the digital era: Toward the development of diagnostic assessment
1 Educational Research & Evaluation, Graduate School, 55221, State University of Yogyakarta, Indonesia
2 Pedagogy and Psychology, Abai Kazakh National Pedagogical University, Kazakhstan
* Corresponding author: nurqamariah.2023@student.uny.ac.id
Published online: 22 December 2025
This research analyzed global research trends on numeracy assessment in the digital era to identify future directions for diagnostic assessment development. Numeracy is recognized as a key twenty- first century competency that supports problem-solving and lifelong learning; however, existing assessments predominantly focus on summative and formative purposes rather than diagnostic functions. To address this gap, a bibliometric analysis was conducted using 246 publications indexed in the Scopus database between 2020 and 2025. Data were processed using Biblioshiny and VOSviewer to examine publication trends, influential authors, institutions, journals, and keyword co-occurrence networks. The results indicate a consistent growth in publication productivity, with an annual increase of 8.92%, accompanied by strong international collaboration across institutions in Asia, Europe, and the Americas. Thematic mapping revealed four major research clusters: student achievement and learning, education policy and systems, numeracy assessment and design, and home-based learning. These clusters reflect a shift toward contextualized, learner-centered, and technology-enhanced approaches to numeracy education. Overall, the findings highlight a substantial gap in diagnostic-oriented numeracy assessments. This study contributes a conceptual and empirical foundation for advancing adaptive, data-driven diagnostic assessment frameworks that are responsive to digital learning environments.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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