IMPACT OF ARTIFICIAL INTELLIGENCE IN SPECIAL EDUCATION: A SYSTEMATIC REVIEW

Abstract

Artificial Intelligence (AI) has emerged as a transformative force across various domains, including education. In the realm of special education, AI holds promise for revolutionizing teaching methodologies and enhancing learning outcomes for students with diverse learning needs. This systematic review investigates the impact of AI in special education by analyzing a wide range of literature sources, including research articles, conference papers, and academic publications. The review synthesizes findings related to the utilization of AI technologies such as intelligent tutoring systems, virtual reality, machine learning algorithms, and natural language processing in catering to the individualized needs of students with disabilities. Through a comprehensive analysis, this review elucidates the potential benefits, challenges, and future directions of integrating AI into special education practices. Key themes identified include personalized learning experiences, accessibility enhancements, adaptive assessment tools, and the empowerment of educators in delivering tailored instruction. Overall, this systematic review contributes to the understanding of AI’s role in transforming special education and provides insights for educators, researchers, policymakers, and practitioners to leverage AI effectively in addressing the diverse needs of students with disabilities.