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September 18, 2025Eurasia Journal of Mathematics Science and Technology Education11 citations

The evolving landscape of AI integration in mathematics education: A systematic review of trends (2015-2025)

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NDNguyen Tien DaQPQuy Van Pham

Key Points

  • Emerging trends highlight the integration of artificial intelligence in mathematics education from 2015 to 2025, indicating significant developments.
  • The systematic review analyzed literature published over ten years, focusing on the contribution of AI tools to mathematics education.
  • This study identifies common challenges in implementing AI technology, along with potential research areas for enhancing mathematics education.
  • The findings provide critical insights for stakeholders in education, including policymakers, educators, and developers, enhancing AI implementation.

Abstract

Over the past 10 years (2015-2025), the rapid development of artificial intelligence (AI) has brought educational technology to a new level, especially in the field of mathematics education. However, although there are many individual studies on specific applications of AI, a systematic and comprehensive overview of the main trends is still lacking. To fill this gap, this study conducts a systematic review aimed at exploring the development landscape of AI integration in mathematics education from 2015 to 2025. The study focuses on answering four main questions: (1) What is the level of research contribution on AI in mathematics education across regions and countries in the world? (2) What are the emerging trends in AI integration in mathematics education from 2015 to 2025? (3) Which AI tools are most commonly used in mathematics education? (4) How is the use of AI tools reflected at different educational levels? This study uses a systematic review approach to analyze academic literature published during the period 2015-2025. The results will provide a detailed map of technological trends, pedagogical models, and main application areas of AI in mathematics education at different levels. At the same time, the study also identifies common challenges and potential areas for future research. The results of this study will provide a valuable reference for educational policy makers, technology developers, teachers, and researchers, helping them make more informed decisions in exploiting the potential of AI to improve the quality of mathematics education.

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Cite This Study

Da et al. (2025) studied this question.

synapsesocial.com/papers/68d462ca31b076d99fa6220ehttps://doi.org/10.29333/ejmste/17078
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