Artificial Intelligence in Mathematics Education: A Two-Dimensional Conceptual Framework and Meta-Review

Artigo2026

Maike Schindler ORCID; Mustafa Cevikbas; Achim J. Lilienthal ORCID

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Resumo

Artificial Intelligence (AI) is transforming mathematics education just as it is reshaping many other domains of modern life, creating new opportunities that fundamentally change the way students and teachers work. AI has become an increasingly prominent topic in mathematics education, generating a growing body of systematic reviews. However, the review-level literature remains fragmented across different AI paradigms, system types, and methodological approaches. This meta-review synthesizes existing systematic reviews on AI in mathematics education and provides a conceptually oriented interpretation of how AI is shaping mathematics education. We specifically identify and classify the types of AI present in mathematics education as well as the educational functions it fulfills. To organize the synthesis, we propose a conceptual framework that distinguishes between a technological dimension of AI, referring to major AI paradigms and system types, and a functional dimension, referring to the educational roles AI can serve in mathematics education. Following predefined eligibility criteria, 13 systematic review studies were included. The findings show that review-level research on AI in mathematics education is recent and rapidly expanding. Our review maps several AI technologies and systems, including symbolic AI, machine learning, and generative AI. In functional terms, AI was most often conceptualized as adaptive infrastructure, learning partner, teaching tool, and research tool, with a smaller but emerging role of AI as learning content itself. This meta-review provides a structured synthesis of how AI is represented in mathematics education review literature and offers a conceptual basis for future research and responsible AI integration in the field.

Dados da obra

Tipo: Artigo
Periódico: ZDM: Mathematics Education, v. 58, n. 5, p. 831-850
Editora: Springer Science+Business Media
Ano: 2026 (2026-08-24)
Idioma: en
Palavras-chave: Artificial Intelligence; Mathematics Education; Educational Technology; Technology Uses in Education; Classification; Technology Integration; artificial intelligence in mathematics education; AI paradigms; symbolic AI; machine learning; generative AI; adaptive infrastructure; learning partners; teaching aids; responsible AI adoption; conceptual framework
DOI: 10.1007/s11858-026-01827-y
ISSN: 1863-9690, 1615-679X, 1863-9704
Licença: cc-by
Acesso: Acesso aberto
Fontes: ERIC — Education Resources Information Center; OpenAlex
Na Biblioteca desde: 01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
SCHINDLER, Maike; CEVIKBAS, Mustafa; LILIENTHAL, Achim J.. Artificial Intelligence in Mathematics Education: A Two-Dimensional Conceptual Framework and Meta-Review. ZDM: Mathematics Education, v. 58, n. 5, p. 831-850, 2026. DOI: https://doi.org/10.1007/s11858-026-01827-y.

APA

Schindler, M., Cevikbas, M., & Lilienthal, A. J. (2026). Artificial Intelligence in Mathematics Education: A Two-Dimensional Conceptual Framework and Meta-Review. ZDM: Mathematics Education, 58(5), 831-850. https://doi.org/10.1007/s11858-026-01827-y

BibTeX

@article{schindler2026,
  author = {Schindler, Maike and Cevikbas, Mustafa and Lilienthal, Achim J.},
  title = {Artificial Intelligence in Mathematics Education: A Two-Dimensional Conceptual Framework and Meta-Review},
  year = {2026},
  journal = {ZDM: Mathematics Education},
  volume = {58},
  number = {5},
  pages = {831-850},
  publisher = {Springer Science+Business Media},
  doi = {10.1007/s11858-026-01827-y},
  language = {en}
}

RIS

TY  - JOUR
AU  - Schindler, Maike
AU  - Cevikbas, Mustafa
AU  - Lilienthal, Achim J.
TI  - Artificial Intelligence in Mathematics Education: A Two-Dimensional Conceptual Framework and Meta-Review
PY  - 2026
JO  - ZDM: Mathematics Education
VL  - 58
IS  - 5
SP  - 831
EP  - 850
DO  - 10.1007/s11858-026-01827-y
LA  - en
ER  -

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