AI-Powered Pedagogies in Mathematics Education: A Systematic Review
Jay Fie Luzano
Source 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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