The integration of Artificial Intelligence (AI) in education has been lauded as a game-changer for addressing diverse student learning needs. This study investigates the efficacy of AI-driven personalized learning platforms in enhancing educators' capacity to support diverse learners in K-12 settings. Combining quantitative and qualitative methods, we assessed the impact of these platforms on student performance and engagement before and after intervention. Data were compiled from 500 educators and 2,000 students across 30 schools through pre- and post-intervention assessments, complemented by interviews with participants. The findings revealed a notable 32% improvement in overall student performance and a marked increase in engagement levels. Educator interviews further highlighted the platforms' ability to streamline lesson planning and foster tailored instructional approaches. Notable works by Luckin et al. (2018) on AI in education and Holmes et al. (2019) on adaptive learning systems provided the theoretical foundation for this study. These results underline the potential of AI tools to transform educational practices, making learning more accessible and efficient.

Keywords: Artificial Intelligence, Personalized Learning, K-12 Education, Educators, Student Engagement.