ADVANCING INCLUSIVE LEARNING THROUGH SYSTEMATIC AI INTEGRATION FOR CHILDREN WITH DISABILITIES

Abstract

This systematic review explores the artificial intelligence (AI) is utilized to enhance inclusive learning for children with disabilities. Analysing existing literature, the study investigates AI integration in educational platforms, assessing its efficacy in providing personalized learning experiences and overcoming barriers to education. Key themes include AI-powered tools like adaptive learning systems, natural language processing, and computer vision to customize content and adapt instructional strategies. Additionally, the review examines AI role in fostering collaboration among educators and technology developers to design inclusive learning environments. These results contribute to understanding AI potential in transforming educational practices and promoting equity for all children. The study encompasses a range of AI applications, including personalized learning platforms, speech recognition, augmented communication devices, accessible content conversion, predictive analytics, social robots, virtual reality, smart assistive devices, and automated accessibility features in educational technology.