The Impact of AI-Assisted Learning Tools on the Academic Performance of Students with Autism Spectrum Disorder (ASD)
Year: 2025
Type: article
Abstract: This paper explores the influence of artificial intelligence (AI)-assisted learning tools on the academic performance of students diagnosed with Autism Spectrum Disorder (ASD). As education evolves with technology, it is critical to examine how inclusive and adaptive these innovations are for neurodivergent learners. Through a comparative study involving both traditional and AI-supported educational environments, this research evaluates changes in engagement, comprehension, retention, and overall academic achievement among ASD learners. The findings suggest that, when appropriately tailored, AI tools can significantly enhance learning outcomes, reduce cognitive overload, and promote individualized pacing—thus supporting more inclusive educational practices.
Authors: Pratibha Charisti, Raj Kumar Goyal
Institutions: Shri Venkateshwara University, Sri Venkateswara University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410852145
