AI-Driven Inclusive Practices: Innovative Approaches to Differentiated Teaching and Educational Inclusion

Abstract

This paper examines the transformative potential of artificial intelligence (AI) in advancing inclusive education through differentiated teaching. By synthesizing global case studies, the study demonstrates AI’s capacity to personalize learning, bridge accessibility gaps, and empower educators via tools like adaptive platforms) and assistive technologies. However, ethical challenges—including algorithmic bias, data privacy risks, and the digital divide—threaten equitable implementation. Findings underscore the necessity of context-sensitive strategies, teacher training, and robust policy frameworks to align AI innovation with principles of equity. While AI offers scalable solutions, its success hinges on balancing technological potential with systemic reforms to ensure inclusive education for all learners.