Systems for Scaling Accessibility Efforts in Large Computing Courses
Ritesh Kanchi, Miya Natsuhara, Matt X. Wang

TL;DR
This paper describes a comprehensive approach combining technical and human systems to scale accessibility efforts in a large university computing course, improving accessibility practices and engagement among staff and students.
Contribution
It introduces scalable auditing, remediation, and training systems for accessibility in large courses, addressing challenges of scale and proactive accessibility management.
Findings
Increased engagement in accessibility practices among staff and students
Development of automated tools for accessibility testing and remediation
Successful implementation of proactive accessibility systems in a large course
Abstract
It is critically important to make computing courses accessible for disabled students. This is particularly challenging in large computing courses, which face unique challenges due to the sheer scale of course content and staff. In this experience report, we share our attempts to scale accessibility efforts for a large university-level introductory programming course sequence, with over 3500 enrolled students and 100 teaching assistants (TAs) per year. First, we introduce our approach to auditing and remediating course materials by systematically identifying and resolving accessibility issues. However, remediating content post-hoc is purely reactive and scales poorly. We then discuss two approaches to systems that enable proactive accessibility work. We developed technical systems to manage remediation complexity at scale: redesigning other course content to be web-first and accessible…
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