Mapping of Scientific Research on "mathematical Modelling" in Mathematics Education: a Scopus Case Study
Year: 2025
Type: article
Abstract: Mathematical modelling, as a universal language of modern science, is an indispensable mathematical skill that transforms complex real-world problems into quantitative and systematic frameworks, enhances prediction accuracy, optimizes decision-making processes, and guides the development of interdisciplinary solutions. This study conducts a bibliometric analysis to map scientific publications on mathematical modelling in mathematics education. Bibliometric analysis is a statistical method used to identify, evaluate, and track published literature through bibliometric data, including citation information related to authors, publications, institutions, journals, and countries. A total of 536 publications in the categories of Mathematics and Social Sciences from the Scopus database were analyzed. Findings reveal that the most prolific countries are the United States, Germany, and Spain, while the most influential journals are ZDM-Mathematics Education, ZDM-International Journal on Mathematics Education, and Journal of Engineering Education. Additionally, the conceptual structure of mathematical modelling is visualized and presented.
Source: ECONOMIC VECTOR
Authors: Berrak Halil İbrahim, Yeşilbudak Nisa
Institution: Hacettepe University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4408551765