A bibliometric analysis on artificial intelligence in mathematics education
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Resumo
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.
Dados da obra
- Tipo
- Artigo
- Periódico
- Journal of Research and Advances in Mathematics Education, p. 1-15
- Editora
- Universitas Muhammadiyah Surakarta
- Ano
- 2024 (2024-01)
- Idioma
- en
- Palavras-chave
- artificial intelligence; mathematics education; bibliometric analysis; vosviewer; scopus database; Bibliometrics; Mathematics Instruction; Teaching Methods; Technology Uses in Education; Computer Software; Databases; Authors; Foreign Countries; Research Reports; Information Retrieval; artificial intelligence in education; research trends; research collaboration; virtual reality in education; mathematical literacy; gamification; educational assessment; research gaps
- Temas
- Avaliação, Tecnologias Digitais
- DOI
- 10.23917/jramathedu.v9i1.2429
- ISSN
- 2503-3697, 2541-2590
- Licença
- cc-by-nc
- Acesso
- Download disponível
- Fontes
- DOAJ — Directory of Open Access Journals; ERIC — Education Resources Information Center; OpenAlex
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
SUBROTO, Prawidi Wisnu et al.. A bibliometric analysis on artificial intelligence in mathematics education. Journal of Research and Advances in Mathematics Education, p. 1-15, 2024. DOI: https://doi.org/10.23917/jramathedu.v9i1.2429.
APA
Subroto, P. W., Malik, M., Raditya, A., & Saputra, N. N. (2024). A bibliometric analysis on artificial intelligence in mathematics education. Journal of Research and Advances in Mathematics Education, 1-15. https://doi.org/10.23917/jramathedu.v9i1.2429
BibTeX
@article{subroto2024,
author = {Subroto, Prawidi Wisnu and Malik, Maulana and Raditya, Aji and Saputra, Nisvu Nanda},
title = {A bibliometric analysis on artificial intelligence in mathematics education},
year = {2024},
journal = {Journal of Research and Advances in Mathematics Education},
pages = {1-15},
publisher = {Universitas Muhammadiyah Surakarta},
doi = {10.23917/jramathedu.v9i1.2429},
language = {en}
}RIS
TY - JOUR AU - Subroto, Prawidi Wisnu AU - Malik, Maulana AU - Raditya, Aji AU - Saputra, Nisvu Nanda TI - A bibliometric analysis on artificial intelligence in mathematics education PY - 2024 JO - Journal of Research and Advances in Mathematics Education SP - 1 EP - 15 DO - 10.23917/jramathedu.v9i1.2429 LA - en ER -
Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS
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