This article explores the role of adaptive learning systems in mathematics education, focusing on their impact on personalization, student achievement, and engagement. The review highlights that adaptive platforms support mastery-based progression, provide timely feedback, and help students develop self-regulated learning skills. They also assist teachers by offering real-time insights into student performance. However, challenges remain, including issues of equity in access, teacher preparedness, algorithmic transparency, and long-term sustainability. The study concludes that adaptive systems should be integrated as complementary tools that enhance pedagogy, requiring thoughtful design, professional support, and ethical safeguards to ensure inclusive and effective mathematics learning.  

Adaptive learning, Mathematics education, Personalized learning, Mastery-based progression

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