This study investigates the use of Artificial Intelligence (AI) as a tool for learning Mathematics in high school through a systematic literature review conducted in accordance with PRISMA guidelines. The selected studies were organized into three main areas: (i) methodologies integrating AI into mathematics teaching; (ii) the impact of AI on mathematical thinking and problem- solving; and (iii) AI-based technologies applied to education, including intelligent tutoring systems, adaptive platforms, and simulation environments. Findings indicate that AI supports personalized instruction, enhances logical-mathematical reasoning, and fosters algorithmic thinking, contributing to improved performance in algebra, trigonometry, and geometry. Nevertheless, challenges remain, such as the limited adoption of these technologies, the risk of automated use without critical reflection, and students’ difficulties in adapting to AI-mediated learning. The review also highlights gaps in assessing long-term effects, particularly regarding reliable metrics to validate AI-supported learning outcomes.
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