Bibliometric Dataset on AI Research in Inquiry-Based Mathematics Education

Description

Bibliometric Dataset on AI Research in Inquiry-Based Mathematics Education (78 Articles) Based on the Scopus Database as of 26 December 2025.

Steps to reproduce

This study utilised data from the Scopus database . Scopus was a deliberate methodological decision based on its esteemed reputation as one of the most expansive and detailed abstract and citation databases for peer-reviewed literature. Note that the extensive scope of Scopus covers a wide range of disciplines- scientific, technical, medical, and social sciences- vital for this research’s investigation of the Metaverse in education. Its comprehensive inclusion of computer science, social sciences, engineering, and arts and humanities provides a broad and accurate dataset. Furthermore, Scopus is recognised for its stringent quality controls and extensive geographical reach, making it an ideal tool for comprehensive bibliometric analysis. Its capability to offer a wide array of metadata, including citation information and authors’ affiliations, further reinforced its role as the primary data source for this research. In addition, the data gathered encompassed various aspects, including document type, source type, languages, subject areas, publication trends, the average number of authors per document, institutions’ contributions to publications, the distribution of publications by country, and dominant keywords.

Institutions

• University of Technology Malaysia

  Johor, Johor Bahru

Categories

Licence