Abstract
This systematic review examines the integration of artificial intelligence (AI) in mathematics education, analyzing 60 research studies from 2017 to 2021. The findings highlight AI's transformative potential in enhancing teaching methodologies, improving student engagement, and facilitating the understanding of complex mathematical concepts. Key AI technologies explored include intelligent tutoring systems, robotics, and generative AI models such as ChatGPT. These tools enable personalized learning experiences, real-time feedback, and interactive problem-solving environments, addressing traditional challenges in mathematics instruction. However, the review also identifies limitations, including ethical considerations, implementation barriers, and contextual constraints in diverse educational settings. The study underscores the importance of a balanced approach that combines technological innovation with effective pedagogical practices, aiming to maximize the benefits of AI in mathematics education while mitigating its challenges. This comprehensive analysis provides a foundation for future research and practical applications, particularly in underrepresented regions, to advance the global adoption of AI in educational contexts.
Published Version
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