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A Bibliometric Analysis on Artificial Intelligence in Mathematics Education

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Title: A Bibliometric Analysis on Artificial Intelligence in Mathematics Education
Language: English
Authors: Prawidi Wisnu Subroto, Maulana Malik, Aji Raditya, Nisvu Nanda Saputra
Source: Journal of Research and Advances in Mathematics Education. 2024 9(1):1-15.
Availability: Universitas Muhammadiyah Surakarta Department of Education. Ahmad Yani Street, Pabelan Kartasura, Surakarta, Central Java, 57162 Indonesia. Tel: +62-271-717417 ext. 2554; e-mail: jramathedu@ums.ac.id; Web site: https://journals2.ums.ac.id/index.php/jramathedu
Peer Reviewed: Y
Page Count: 15
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Information Analyses
Descriptors: Bibliometrics, Mathematics Instruction, Teaching Methods, Artificial Intelligence, Technology Uses in Education, Computer Software, Databases, Authors, Foreign Countries, Research Reports, Information Retrieval
ISSN: 2503-3697
2541-2590
Abstract: 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.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1441122
Database: ERIC
FullText Text:
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  Data: A Bibliometric Analysis on Artificial Intelligence in Mathematics Education
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  Data: Universitas Muhammadiyah Surakarta Department of Education. Ahmad Yani Street, Pabelan Kartasura, Surakarta, Central Java, 57162 Indonesia. Tel: +62-271-717417 ext. 2554; e-mail: jramathedu@ums.ac.id; Web site: https://journals2.ums.ac.id/index.php/jramathedu
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  Data: 15
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  Data: <searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Instruction%22">Mathematics Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Authors%22">Authors</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Reports%22">Research Reports</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Retrieval%22">Information Retrieval</searchLink>
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  Data: 2503-3697<br />2541-2590
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  Data: 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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        Type: general
      – SubjectFull: Mathematics Instruction
        Type: general
      – SubjectFull: Teaching Methods
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      – SubjectFull: Artificial Intelligence
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