AI in mathematics education: A bibliometric analysis of global trends and collaborations (2020-2024)
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Resumo
This bibliometric study analyzes the scientific production on the use of artificial intelligence (AI) in mathematics education between 2020 and 2024. Based on a sample of 384 documents extracted from 155 international sources, the study evaluates emerging trends, collaboration patterns among authors and countries, and the main themes related to the use of AI in mathematics education. The analysis was conducted using the Biblioshiny tool in RStudio, generating network maps and thematic graphs that visualize the relationships between keywords and international collaborations. The results show that China and the United States lead in terms of scientific productivity and international collaboration. A growing interest in the use of generative AI emerges, including deep learning and ChatGPT, in educational contexts for the purpose of assessment of learning. The present study provides a clear overview of current dynamics in AI research in mathematics education, highlighting opportunities for interdisciplinary collaboration.
Dados da obra
- Tipo
- Artigo
- Periódico
- Eurasia Journal of Mathematics Science and Technology Education, v. 21, n. 2, p. em2576
- Editora
- Modestum Limited
- Ano
- 2025 (2025-02-02)
- Idioma
- en
- Palavras-chave
- artificial intelligence in education; mathematics education; generative AI; ChatGPT; deep learning; learning assessment; international research collaboration; research trends; research productivity
- Temas
- Avaliação
- DOI
- 10.29333/ejmste/15915
- ISSN
- 1305-8215, 1305-8223
- Licença
- cc-by
- Acesso
- Download disponível
- Fontes
- OpenAlex
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
HOSSEIN-MOHAND, Hassan et al.. AI in mathematics education: A bibliometric analysis of global trends and collaborations (2020-2024). Eurasia Journal of Mathematics Science and Technology Education, v. 21, n. 2, p. em2576, 2025. DOI: https://doi.org/10.29333/ejmste/15915.
APA
Hossein-Mohand, H., Hossein-Mohand, H., Albanese, V., & Olmos-Gómez, M. d. C. (2025). AI in mathematics education: A bibliometric analysis of global trends and collaborations (2020-2024). Eurasia Journal of Mathematics Science and Technology Education, 21(2), em2576. https://doi.org/10.29333/ejmste/15915
BibTeX
@article{hosseinmohand2025,
author = {Hossein-Mohand, Hassan and Hossein-Mohand, Hossein and Albanese, Veronica and Olmos-Gómez, María del Carmen},
title = {AI in mathematics education: A bibliometric analysis of global trends and collaborations (2020-2024)},
year = {2025},
journal = {Eurasia Journal of Mathematics Science and Technology Education},
volume = {21},
number = {2},
pages = {em2576},
publisher = {Modestum Limited},
doi = {10.29333/ejmste/15915},
language = {en}
}RIS
TY - JOUR AU - Hossein-Mohand, Hassan AU - Hossein-Mohand, Hossein AU - Albanese, Veronica AU - Olmos-Gómez, María del Carmen TI - AI in mathematics education: A bibliometric analysis of global trends and collaborations (2020-2024) PY - 2025 JO - Eurasia Journal of Mathematics Science and Technology Education VL - 21 IS - 2 SP - em2576 DO - 10.29333/ejmste/15915 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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