Bibliometric data and analysis files for "Artificial Intelligence and Intelligent Tutoring Systems in Mathematics Education: A Bibliometric Analysis (2001–2025)"

This dataset contains derived bibliometric data and analytical outputs generated using the Biblioshiny interface of the Bibliometrix R package to support the study “Artificial Intelligence and Intelligent Tutoring Systems in Mathematics Education: A Bibliometric Analysis (2001–2025)”. The original bibliographic records were retrieved from the Scopus database and are subject to third-party licensing restrictions; therefore, raw Scopus metadata are not included. All files shared in this repository consist of aggregated, transformed, and modeled outputs (e.g., summary indicators, annual publication counts, author productivity distributions, country-level contributions, keyword trend tables, co-word co-occurrence matrices, thematic map coordinates, and factorial analysis results) that do not allow reconstruction of the original Scopus records. The dataset is provided to ensure transparency, reproducibility, and reuse of the bibliometric analyses reported in the associated article. The files can be used to reproduce descriptive statistics, thematic structures, and network analyses using Bibliometrix/Biblioshiny, following the procedures described in the Methods section of the article. All data are released under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license.