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Artificial Intelligence in School-Level Mathematics Education: A Comprehensive Review

Author

Listed:
  • Mary Nirmala

    (DMI-St. Eugene University, Lusaka, Zambia.)

  • Y. Dominic Ravichandran

    (DMI-St. Eugene University, Lusaka, Zambia.)

Abstract

The integration of artificial intelligence (AI) into school-level mathematics education has advanced rapidly in recent years, fundamentally reshaping instructional practices and student learning experiences. This review synthesizes current literature to provide a comprehensive overview of AI’s applications within mathematics classrooms, focusing on personalized learning, adaptive assessment, evolving teacher roles, ethical considerations, and emerging global trends. The analysis highlights AI’s potential to enhance student engagement, improve academic achievement, and promote educational equity. However, it also underscores the necessity of thoughtful implementation, robust teacher support, and the development of clear policies to address associated challenges. The review concludes that, while AI holds transformative promise for mathematics education, its successful integration depends on balancing technological innovation with pedagogical integrity and ethical responsibility. Future research and policy efforts are essential to ensure AI’s benefits are equitably realized across diverse educational contexts.

Suggested Citation

  • Mary Nirmala & Y. Dominic Ravichandran, 2025. "Artificial Intelligence in School-Level Mathematics Education: A Comprehensive Review," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(7), pages 1907-1913, July.
    • Handle: RePEc:bjc:journl:v:12:y:2025:i:67:p:1907-1913
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    References listed on IDEAS

    as
    1. Xuejing Song & Joonkong Mak & Haowei Chen, 2025. "Teachers and Learners’ Perceptions about Implementation of AI Tools in Elementary Mathematics Classes," SAGE Open, , vol. 15(2), pages 21582440251, May.
    2. Gwo-Jen Hwang & Yun-Fang Tu, 2021. "Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
    3. Sahan Bulathwela & María Pérez-Ortiz & Catherine Holloway & Mutlu Cukurova & John Shawe-Taylor, 2024. "Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Tools," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    4. Arijit Goswami & Akshay Sharma, 2024. "AI For Bridging Socio-Economic Inequities in Indian Education Space," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(4), pages 890-935, April.
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