Abstract:
Artificial Intelligence (AI) is revolutionizing education, particularly in mathematics, by offering personalized learning, adaptive assessments, and intelligent tutoring, though its potential is still underexplored in scholarly literature. This study employed a systematic review approach, as outlined by Strech and Sofaer (2011), to investigate AI-powered pedagogies in mathematics education. Results showed five (5) emerging themes on AI-powered pedagogies in mathematics education, namely; (1) Personalized Learning; (2) Enhanced Assessment and Feedback; (3) Gamification and Engagement; (4) Data-Driven Instructional Strategies; and (5) Equity and Accessibility. AI-powered pedagogies in mathematics education enhance personalized learning, assessment, student engagement, data-driven instruction, and educational equity, collectively transforming education and improving student outcomes. To leverage AI-powered pedagogies in mathematics education, educational institutions, and policymakers may invest in adaptive learning systems, continuous professional development for educators, and robust technological infrastructure to enhance personalized learning, real-time feedback, and equitable access to AI resources.
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