Integrating AI with Personalized Mathematics Learning: Trends and Learning Style Implications among Chennai Senior Secondary Students

This study explores the integration of Artificial Intelligence (AI) in personalized mathematics learning
among senior secondary students in Chennai, with a focus on how different learning styles—auditory, kinesthetic,
individual, and group—impact the effectiveness of AI-driven instruction. As AI tools become increasingly prevalent in
educational settings, understanding their alignment with students' preferred learning modalities is essential for
maximizing engagement and outcomes. Preliminary findings suggest that AI-powered adaptive learning platforms
enhance mathematical understanding when tailored to students’ dominant learning styles, particularly benefiting
kinesthetic and individual learners. The study highlights the need for educators to consider both technological and
pedagogical dimensions when implementing AI in diverse classroom contexts.