Current Practices and Future Direction of Artificial Intelligence in Mathematics Education: A Systematic Review
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Resumo
Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that provide an overview of AI's role in mathematics education to help educators identify the best AI tools, and to inform researchers about current trends and future directions. This study conducts a systematic literature review (SLR) to investigate the applications and trends of AI in mathematics education by examining articles published in reputable journals indexed in Web of Science and Scopus. The review categorizes AI tools into those narrowly addressing mathematical problems, such as solving equations and visualizing geometry, and those offering broader pedagogical support, including adaptive learning systems and generative AI platforms. Key aspects analyzed include the distribution of AI in Mathematics Education (AIME) studies across different educational levels, the types and categories of AI tools used, the functionality of commercialized AIME tools available on the internet, and the emerging trends and future directions in AIME based on recent literature. The insights from this SLR are crucial for educators, policymakers, and researchers, enabling them to integrate AI effectively into mathematics education and tailor tools to specific teaching strategies and learning needs.
Dados da obra
- Tipo
- Artigo
- Periódico
- International Electronic Journal of Mathematics Education
- Ano
- 2025
- Idioma
- en
- Palavras-chave
- Artificial Intelligence; Mathematics Education; Educational Technology; Technology Uses in Education; Educational Research; Instructional Program Divisions; Elementary Secondary Education; Postsecondary Education; Adult Education; Problem Solving; Individualized Instruction
- Temas
- Álgebra, Geometria, Resolução de Problemas
- Acesso
- Download disponível
- Fontes
- ERIC — Education Resources Information Center
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
AWANG, Liz A.; YUSOP, Farrah D.; DANAEE, Mahmoud. Current Practices and Future Direction of Artificial Intelligence in Mathematics Education: A Systematic Review. International Electronic Journal of Mathematics Education, 2025. Disponível em: https://eric.ed.gov/?id=EJ1469663. Acesso em: 5 nov. 2026.
APA
Awang, L. A., Yusop, F. D., & Danaee, M. (2025). Current Practices and Future Direction of Artificial Intelligence in Mathematics Education: A Systematic Review. International Electronic Journal of Mathematics Education. https://eric.ed.gov/?id=EJ1469663
BibTeX
@article{awang2025,
author = {Awang, Liz A. and Yusop, Farrah D. and Danaee, Mahmoud},
title = {Current Practices and Future Direction of Artificial Intelligence in Mathematics Education: A Systematic Review},
year = {2025},
journal = {International Electronic Journal of Mathematics Education},
url = {https://eric.ed.gov/?id=EJ1469663},
language = {en}
}RIS
TY - JOUR AU - Awang, Liz A. AU - Yusop, Farrah D. AU - Danaee, Mahmoud TI - Current Practices and Future Direction of Artificial Intelligence in Mathematics Education: A Systematic Review PY - 2025 JO - International Electronic Journal of Mathematics Education UR - https://eric.ed.gov/?id=EJ1469663 LA - en ER -
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