Kamber, Eren2026-01-242026-01-24202597983693794939798369379516https://doi.org/10.4018/979-8-3693-7949-3.ch007https://hdl.handle.net/20.500.12868/4725This study examines the role of artificial intelligence (AI) technologies in the education of students with disabilities and provides a comprehensive assessment of how these technologies can transform educational processes. Also, the study explores the impact of AI- based technologies such as speech recognition, text- to- speech, and automated captioning systems in increasing accessibility for students with disabilities. In evaluating AI- based technologies tailored to the educational needs of students with disabilities, multi- criteria decision- making methods such as fuzzy logic and the Fuzzy CoCoSo method were utilized. The analysis results demonstrate that these technologies contribute substantially to enhancing students’ learning motivation, supporting academic success, and developing independent mobility skills. This study addresses the contributions of AI to educational accessibility from a perspective of social justice and equity and offers recommendations for the effective use of AIsupported accessibility technologies in this field. © 2025 by IGI Global Scientific Publishing.eninfo:eu-repo/semantics/closedAccessArtificial intelligenceEducation computingEducational technologyEngineering educationFuzzy logicStudentsArtificial intelligence technologiesComprehensive assessmentEducational needsEducational processEnhancing student learningFuzzy-LogicHigher education studentsMulticriteria decision making methodsStudent learning motivationsText to speechSpeech recognitionBook Chapter10.4018/979-8-3693-7949-3.ch0071792082-s2.0-105008166128N/A