Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations

Although there are various ways to represent data patterns and models, visualization has been primarily taught in many science courses for its efficiency. Such vision-dependent output may cause critical barriers against those who blind visually impaired people with learning disabilities. We argue that instructors need teach multiple representation methods so all students can produce products more accessible. In this paper, we accessibility should be as early the introductory course part of curriculum regardless whether learners major or not, they have foundational exposure accessibility. As educators our lower-division two different institutions, share specific examples utilized by other instructors.