A Review of Artificial Intelligence Interventions for Students with Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with challenges in social communication and interaction as well as stereotyped and repetitive behaviors, interests, and activities. Students with ASD often prefer to engage with technology because of its predictability and limited social demands. In recent years, the application of Artificial Intelligence (AI) in education has gained considerable attention. The present study aims to reveal the research trends regarding the design and development of AI teaching interventions in special education, especially for students with ASD, who often face significant challenges in academic, cognitive, and social domains. A search of the research literature from 2018 to 2024 in three electronic databases identified 1762 records. After applying eligibility criteria, 13 empirical studies were finally included, which were coded and analyzed in detail. The results demonstrated the potential of AI technology in supporting students with ASD in their learning, while also identifying gaps that warrant further investigation. This article concludes with future considerations for how AI could support students with ASD, emphasizing there are still gaps in the research, particularly in terms of long-term effectiveness and the standardization of methodologies for AI-based educational practices.