Revolutionizing Inclusion: AI in Adaptive Learning for Students with Disabilities

Abstract

This study investigates the potential of Artificial Intelligence (AI) to revolutionize inclusion by providing adaptive learning for learners with special needs with unique learning needs and challenges which were often past redress, AI driven solutions have created new realms in personalized education. Machine learning and natural language processing aspects within adaptive learning technologies allow for instructional practices to be personalized according to various disabilities visual, auditory, or cognitive impairments. AI also enables the curriculum to be delivered in real time by studying single students learning process and their likes and dislikes, hence providing equality in education. The review focuses on insightful innovations, such as speech to text systems, virtual assistants, and gamified learning platforms, that increase accessibility and engagement. The syllabus further interrogates ethical issues of data privacy, algorithmic bias, and the just distribution of technology. It closes by emphasizing the importance of interdisciplinary collaboration among educators, technologists and policymakers to scale AI driven adaptive learning tools and support a holistic education ecosystem that works for every learner with different abilities.