Tsvetelina Stefanova, Slavi Georgiev
As of early 2026, Artificial Intelligence (AI) has transitioned from an experimental auxiliary tool to a foundational pillar of modern mathematical pedagogy. This paper evaluates the rapid evolution of AI-driven mathematics tools over the academic year 2025–2026, emphasizing the shift toward adaptive, Socratic tutoring systems. We analyze key platforms and tools such as Khanmigo, Mathos AI, and Tutor CoPilot, assessing their impact on student mastery and teacher efficiency. Empirical studies from recent years suggest that AI-assisted human tutoring can lead to measurable improvements in student topic mastery. However, the integration of AI in mathematics education faces ongoing challenges regarding cognitive over-reliance and data privacy. This review synthesizes contemporary research to provide a framework for balanced AI integration that prioritizes conceptual understanding over automated problem-solving.