Trends and insights of AI in mathematics education: A bibliometric analysis
Sevda Göktepe Yıldız 1 * , Seda Göktepe Körpeoğlu 2
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1 Istanbul University-Cerrahpaşa, Istanbul, TÜRKİYE2 Yildiz Technical University, Istanbul, TÜRKİYE* Corresponding Author

Abstract

Human intelligence is related to cognitive skills such as the acquisition of new knowledge, problem-solving and abstract thinking in learning processes. These processes are of great importance in mathematical education. Artificial intelligence (AI) can help students develop these cognitive skills by providing customized teaching methods according to their individual needs. Examining how AI can be used in mathematics education can provide information on how students can learn mathematics more effectively. This can help students gain access to scientific knowledge in other disciplines and support them to succeed in applied sciences. The purpose of this study is to systematically investigate the trends of studies on the use of AI in mathematics education using bibliometric analysis. R-studio program with the biblioshiny package was used. The analysis was carried out with 313 publications obtained from Scopus and Web of Science databases and published between 1987-2023. According to the research results, the United States, China, and Australia are the top three nations in terms of publications and citations. The resulting collaborative network shows that research has been carried out in 28 countries. This research underscores the importance of leveraging AI in education to support sustainable development by enhancing learning processes that are foundational to the applied sciences and global knowledge economies.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

INT ELECT J MATH ED, Volume 20, Issue 3, August 2025, Article No: em0837

https://doi.org/10.29333/iejme/16401

Publication date: 01 Jul 2025

Online publication date: 20 May 2025

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Article Downloads: 98

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