AI-Powered Accessibility: Transforming Course Design and Student Learning

Accessibility in higher education has traditionally been resource-intensive, requiring significant time and expertise to ensure compliance with WCAG 2.2 standards and Universal Design for Learning (UDL) principles. Artificial Intelligence is transforming this landscape by automating accessibility checks, streamlining remediation workflows, and empowering both faculty and students with tools that create more inclusive learning environments. This poster session demonstrates how AI technologies can accelerate accessibility compliance while simultaneously enhancing the learning experience for all students, particularly those with disabilities or diverse learning needs. We will showcase practical implementations of AI in two key areas: course design workflows and student-facing tools. For course designers, we'll demonstrate how AI automates WCAG compliance checks, suggests alternative text for images, identifies accessibility barriers in documents and media, and provides real-time remediation guidance. For students, we'll explore AI-powered reading tools, auto-captioning services, personalized study recommendations, and AI chat assistants that reduce barriers to learning.