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Artificial Intelligence Interventions in Mathematics Education: A Systematic Literature Review

Artigo2025

Kenneth Holman; Matthew Marino; Trey Vasquez; Michelle Taub; Jessica Hunt; Yacine Tazi

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Resumo

This systematic review examines the impact of artificial intelligence (AI) interventions on mathematics education, focusing on studies published after 2020. A total of 14 empirical studies were selected based on inclusion criteria that emphasized AI's role in enhancing student learning outcomes, engagement, and teaching practices. The review highlights several AI-based interventions, including Intelligent Tutoring Systems (ITS), adaptive learning platforms, and AI-powered educational apps. The findings indicate that ITS, particularly when integrated over extended periods, significantly improve learning outcomes, with tools like Photomath showing large effect sizes (d = 1.37) in pre-calculus education. Adaptive platforms, such as ALEKS and "Learn with ME," also produced moderate to large improvements. However, shorter interventions or those without substantial teacher involvement yielded smaller effects, underscoring the importance of sustained engagement and pedagogical support. While AI tools show promising results, their effectiveness is contingent upon thoughtful integration with traditional teaching methods and clear instructional goals. Ethical considerations, including data privacy, algorithmic fairness, and the role of teachers, are discussed to ensure responsible AI implementation. Overall, the review emphasizes that AI can enhance mathematics education, but its success depends on context, duration, and the complementary role of educators in the learning process.

Dados da obra

Tipo
Artigo
Periódico
Insights into Learning Disabilities
Ano
2025
Idioma
en
Palavras-chave
Artificial Intelligence; Technology Uses in Education; Mathematics Education; Mathematics Achievement; Teaching Methods; Learner Engagement; Intelligent Tutoring Systems; Students with Disabilities; Elementary Secondary Education
Temas
Cálculo, Inclusão, Práticas Pedagógicas
ISSN
1949-1212
Acesso
Download disponível
Fontes
ERIC — Education Resources Information Center
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
HOLMAN, Kenneth et al.. Artificial Intelligence Interventions in Mathematics Education: A Systematic Literature Review. Insights into Learning Disabilities, 2025. Disponível em: https://eric.ed.gov/?id=EJ1481890. Acesso em: 5 nov. 2026.

APA

Holman, K., Marino, M., Vasquez, T., Taub, M., Hunt, J., & Tazi, Y. (2025). Artificial Intelligence Interventions in Mathematics Education: A Systematic Literature Review. Insights into Learning Disabilities. https://eric.ed.gov/?id=EJ1481890

BibTeX
@article{holman2025,
  author = {Holman, Kenneth and Marino, Matthew and Vasquez, Trey and Taub, Michelle and Hunt, Jessica and Tazi, Yacine},
  title = {Artificial Intelligence Interventions in Mathematics Education: A Systematic Literature Review},
  year = {2025},
  journal = {Insights into Learning Disabilities},
  url = {https://eric.ed.gov/?id=EJ1481890},
  language = {en}
}
RIS
TY  - JOUR
AU  - Holman, Kenneth
AU  - Marino, Matthew
AU  - Vasquez, Trey
AU  - Taub, Michelle
AU  - Hunt, Jessica
AU  - Tazi, Yacine
TI  - Artificial Intelligence Interventions in Mathematics Education: A Systematic Literature Review
PY  - 2025
JO  - Insights into Learning Disabilities
UR  - https://eric.ed.gov/?id=EJ1481890
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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