A bibliometric analysis on artificial intelligence in mathematics education

The research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliometric analysis. Data for the analysis wer...

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Main Authors: Prawidi Wisnu Subroto, Maulana Malik, Aji Raditya, Nisvu Nanda Saputra
Format: Article
Language:English
Published: Muhammadiyah University Press 2024-01-01
Series:Journal of Research and Advances in Mathematics Education
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Online Access:https://journals2.ums.ac.id/index.php/jramathedu/article/view/2429
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author Prawidi Wisnu Subroto
Maulana Malik
Aji Raditya
Nisvu Nanda Saputra
author_facet Prawidi Wisnu Subroto
Maulana Malik
Aji Raditya
Nisvu Nanda Saputra
author_sort Prawidi Wisnu Subroto
collection DOAJ
description The research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliometric analysis. Data for the analysis were extracted from the Scopus database from 1986 – 2023. The analysis, conducted using R-packages (Bibliometrix) and VOSviewer software, identifies the relevant nations, affiliations, journals, articles, and keywords on artificial intelligence in mathematics education research. The study reveals that 565 documents have been published in 354 journals, with an average annual growth rate of 11.27%. These documents, on average, have received 14.61 citations each. The research field has engaged a total of 1,847 authors, with an average of 3.26 authors contributing to each document. Additionally, 17.17% of these publications involved international co-authorship, indicating a moderate level of global collaboration. Our findings reveal a growing interest in using artificial intelligence as an educational tools and methods, particularly in the United States and China, which lead in publication output and citations. The analysis also reveals emerging trends and research gaps. The keywords such as "virtual reality," "sustainable development," and "COVID-19" reflect recent research focus on artificial intelligence in mathematics education research. Meanwhile, the keywords such as "mathematical literacy," “assessment,” and "gamification" identified as underexplored areas, suggesting potential opportunities for future research on artificial intelligence in mathematics education research.
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spelling doaj-art-13546cc4fbfd4d8fbe458ef7e4c6b7f62025-08-20T03:17:27ZengMuhammadiyah University PressJournal of Research and Advances in Mathematics Education2503-36972024-01-0111510.23917/jramathedu.v9i1.24292433A bibliometric analysis on artificial intelligence in mathematics educationPrawidi Wisnu Subroto0Maulana Malik1Aji Raditya2Nisvu Nanda Saputra3Universitas Muhammadiyah TangerangUniversiti Sultan Zainal AbidinUniversitas Muhammadiyah TangerangUniversitas Muhammadiyah TangerangThe research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliometric analysis. Data for the analysis were extracted from the Scopus database from 1986 – 2023. The analysis, conducted using R-packages (Bibliometrix) and VOSviewer software, identifies the relevant nations, affiliations, journals, articles, and keywords on artificial intelligence in mathematics education research. The study reveals that 565 documents have been published in 354 journals, with an average annual growth rate of 11.27%. These documents, on average, have received 14.61 citations each. The research field has engaged a total of 1,847 authors, with an average of 3.26 authors contributing to each document. Additionally, 17.17% of these publications involved international co-authorship, indicating a moderate level of global collaboration. Our findings reveal a growing interest in using artificial intelligence as an educational tools and methods, particularly in the United States and China, which lead in publication output and citations. The analysis also reveals emerging trends and research gaps. The keywords such as "virtual reality," "sustainable development," and "COVID-19" reflect recent research focus on artificial intelligence in mathematics education research. Meanwhile, the keywords such as "mathematical literacy," “assessment,” and "gamification" identified as underexplored areas, suggesting potential opportunities for future research on artificial intelligence in mathematics education research.https://journals2.ums.ac.id/index.php/jramathedu/article/view/2429artificial intelligencemathematics educationbibliometric analysisvosviewerscopus database
spellingShingle Prawidi Wisnu Subroto
Maulana Malik
Aji Raditya
Nisvu Nanda Saputra
A bibliometric analysis on artificial intelligence in mathematics education
Journal of Research and Advances in Mathematics Education
artificial intelligence
mathematics education
bibliometric analysis
vosviewer
scopus database
title A bibliometric analysis on artificial intelligence in mathematics education
title_full A bibliometric analysis on artificial intelligence in mathematics education
title_fullStr A bibliometric analysis on artificial intelligence in mathematics education
title_full_unstemmed A bibliometric analysis on artificial intelligence in mathematics education
title_short A bibliometric analysis on artificial intelligence in mathematics education
title_sort bibliometric analysis on artificial intelligence in mathematics education
topic artificial intelligence
mathematics education
bibliometric analysis
vosviewer
scopus database
url https://journals2.ums.ac.id/index.php/jramathedu/article/view/2429
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