Artificial Intelligence in Primary Mathematics Education: A Systematic Review of Pedagogical Applications, Benefits, and Challenges
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Resumo
This systematic literature review examines current research on the integration of artificial intelligence (AI) in primary mathematics education, focusing on bibliometric patterns, pedagogical applications and outcomes, as well as implementation challenges and teacher-related considerations over the past five years. By analysing 30 peer-reviewed empirical studies published between 2020 and 2024, the review examines bibliometric patterns, research aims, methods, educational settings, perceived benefits, implementation challenges, and professional development needs. Findings indicate a growing interest in AI-enhanced learning, particularly through intelligent tutoring systems, adaptive platforms, and AI-based diagnostics. Key benefits include improved conceptual understanding, personalised feedback, and increased learner engagement, while major challenges involve technical limitations, pedagogical misalignment, and infrastructural disparities. The review highlights a predominance of experimental studies conducted in face-to-face classroom settings alongside the emerging use of blended and online models. Notably, teacher readiness and policy flexibility are pivotal for effective implementation. This review contributes a field-specific synthesis that informs researchers, educators, and policymakers of the evolving landscape of AI in primary mathematics education, offering insights for evidence-based design and sustainable integration.
Dados da obra
- Tipo
- Artigo
- Periódico
- International Journal of Science and Mathematics Education
- Ano
- 2026
- Idioma
- en
- Palavras-chave
- Artificial Intelligence; Mathematics Instruction; Elementary School Mathematics; Technology Integration; Bibliometrics; Educational Research; Program Implementation; Program Effectiveness; Faculty Development; Educational Technology; Barriers
- Temas
- Formação de Professores de Matemática, Tecnologias Digitais
- ISSN
- 1571-0068
- Acesso
- Metadados apenas
- Fontes
- ERIC — Education Resources Information Center
- Na Biblioteca desde
- 01/11/2026 · verificada em 01/11/2026
Como citar
ABNT
LI, Mao; TAN, Hazel. Artificial Intelligence in Primary Mathematics Education: A Systematic Review of Pedagogical Applications, Benefits, and Challenges. International Journal of Science and Mathematics Education, 2026. Disponível em: http://dx.doi.org/10.1007/s10763-026-10722-7. Acesso em: 5 nov. 2026.
APA
Li, M., & Tan, H. (2026). Artificial Intelligence in Primary Mathematics Education: A Systematic Review of Pedagogical Applications, Benefits, and Challenges. International Journal of Science and Mathematics Education. http://dx.doi.org/10.1007/s10763-026-10722-7
BibTeX
@article{li2026,
author = {Li, Mao and Tan, Hazel},
title = {Artificial Intelligence in Primary Mathematics Education: A Systematic Review of Pedagogical Applications, Benefits, and Challenges},
year = {2026},
journal = {International Journal of Science and Mathematics Education},
url = {http://dx.doi.org/10.1007/s10763-026-10722-7},
language = {en}
}RIS
TY - JOUR AU - Li, Mao AU - Tan, Hazel TI - Artificial Intelligence in Primary Mathematics Education: A Systematic Review of Pedagogical Applications, Benefits, and Challenges PY - 2026 JO - International Journal of Science and Mathematics Education UR - http://dx.doi.org/10.1007/s10763-026-10722-7 LA - en ER -
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