Exploring the Intersection of Artificial Intelligence and Disability in Education: A Thematic Analysis

This study explores the intersection of artificial intelligence (AI) and disability in education through a comprehensive bibliometric analysis. By analyzing 777 documents retrieved from the Scopus database, the study identifies key trends, themes, and emerging patterns in research related to AI and disability in education. The research design adopts a bibliometric approach, leveraging the Bibliometrix software for data analysis. The study reveals the most frequently used keywords, trend topics, and thematic maps, providing insights into the evolution of research in this domain. The conclusion underscores the potential of AI applications in education for individuals with disabilities, highlighting the contributions made to identifying special needs and facilitating personalized learning. Despite the promising prospects, the study acknowledges the need for continued research to address ethical concerns, improve application effectiveness, and enhance the training of experts in the field of special education.