Digital inclusion in special education with AI-assisted curriculum models for Autism, Cerebral palsy, and Down syndrome

Students with autism spectrum disorder (ASD), cerebral palsy (CP), and down syndrome (DS) often face barriers in literacy, numeracy, and social-emotional learning that conventional curricula struggle to address. This study therefore explored the potential of AI-assisted curriculum models to enhance digital inclusion and align with Universal Design for Learning (UDL) principles. Using a design-based research framework, the study conducted a needs analysis, developed prototype modules in literacy, numeracy, SEL, and motor responsiveness, and piloted them in inclusive classrooms. Quantitative results therefore showed substantial improvements, including an 18% literacy gain among DS learners, reduced task completion times and increased accuracy for CP learners, and improved attention and social engagement for ASD students. Qualitative feedback from teachers and parents also highlighted increased learner independence and engagement, though some concerns about overstimulation were noted. Together, these findings demonstrated that AI can be integrated as a core curricular design principle, and not merely as an assistive tool. This paper thereby provides a scalable blueprint for advancing IDEA mandates, supporting parental aspirations, and strengthening U.S. commitments to digital equity in special education.