AI and Assistive Technology in Special Education: Transforming Learning Access for Students with Disabilities

Abstract

The integration of Artificial Intelligence (AI) and Assistive Technology (AT) in special education has emerged as a pivotal solution in bridging learning gaps for students with disabilities. Despite advancements in inclusive education, students with disabilities continue to face substantial barriers in accessing educational content. AI and AT offer transformative potential in addressing these barriers by personalizing learning experiences and enhancing educational outcomes for these students. This review explores the impact of AI and AT in transforming learning access for students with disabilities, focusing on the integration of AI-powered tools and AT to provide personalized, adaptive learning experiences. In carrying out this review, Google Scholar was the primary literature source. Findings from the included literature were analyzed and synthesized thematically, focusing on studies related to AI and AT applications in special education, and their effectiveness in enhancing accessibility and academic performance. The review identifies significant improvements in academic engagement, independence, and social inclusion among students using AI-powered assistive tools. Case studies highlight the effectiveness of AI in fostering personalized learning environments for students with learning disabilities, autism, and motor impairments. AI and AT have substantial potential to enhance learning outcomes for students with disabilities. However, challenges such as economic barriers, technological inequalities, and resistance to adoption must be addressed to ensure broader accessibility and equity in educational settings.