Enhancing education for children with ASD: a review of evaluation and measurement in AI tool implementation
Oyeyemi Patricia Adako, Oluwafemi Clement Adeusi, Peter Adeniyi Alaba · Disability and Rehabilitation Assistive Technology · 2025
This article addresses the gaps in current research regarding the use of artificial intelligence (AI) tools to educate children with autism spectrum disorder (ASD). The proposed metrics are specifically designed to evaluate the progress of learning in AI-assisted education, considering the unique needs of this demographic. The review highlights the potential of long-term impact studies to determine the lasting effects of AI on social skills, emotional development, and overall academic achievement. The ethical considerations surrounding AI intervention in autistic education are thoroughly examined. By combining diverse methodologies utilized in existing studies, a comprehensive analysis of the challenges is presented, along with interdisciplinary approaches for improvement that can serve as a roadmap for future research. The manuscript provides innovative perspectives, bridges existing gaps, and advocates for the ethical and effective integration of AI tools in educating children with ASD.