Authors: Dr. Shahina Khan
Abstract: The integration of Artificial Intelligence (AI) in education has introduced transformative possibilities for enhancing learning experiences, particularly within inclusive educational settings. This study investigates AI-driven personalized learning strategies aimed at supporting diverse learner populations, including students with varying cognitive, physical, and socio-economic needs. By leveraging adaptive learning platforms, intelligent tutoring systems, and assistive technologies, AI enables individualized instructional pathways, real-time feedback, and enhanced learner engagement. Employing a mixed-methods approach, the study collects quantitative data through academic performance metrics and surveys, alongside qualitative insights from interviews and classroom observations. Findings indicate that AI interventions can significantly improve engagement, learning outcomes, and accessibility while highlighting challenges related to algorithmic bias, ethical considerations, and teacher readiness. The research underscores the importance of integrating AI with human-centered pedagogy, promoting hybrid models that balance technological personalization with socio-emotional and ethical dimensions of teaching. These findings offer actionable insights for educators, policymakers, and researchers aiming to implement AI-driven strategies that foster equity, inclusion, and academic success in diverse learning environments.
DOI: http://doi.org/10.5281/zenodo.17802421
