Designing Born-Accessible Courses in Data Science and Visualization: Challenges and Opportunities of a Remote Curriculum Taught by Blind Instructors to Blind Students

TL;DR

This paper explores the design and implementation of an online data science and visualization course taught by blind instructors to blind students, highlighting innovative teaching strategies, challenges, and learning outcomes in accessible education.

Contribution

It introduces novel approaches for teaching data science and visualization to blind students in remote settings, emphasizing instructor experience and course design.

Findings

Positive learning outcomes for blind students

Effective remote teaching strategies for accessibility

Identification of key challenges and opportunities

Abstract

While recent years have seen a growing interest in accessible visualization tools and techniques for blind people, little attention is paid to the learning opportunities and teaching strategies of data science and visualization tailored for blind individuals. Whereas the former focuses on the accessibility issues of data visualization tools, the latter is concerned with the learnability of concepts and skills for data science and visualization. In this paper, we present novel approaches to teaching data science and visualization to blind students in an online setting. Taught by blind instructors, nine blind learners having a wide range of professional backgrounds participated in a two-week summer course. We describe the course design, teaching strategies, and learning outcomes. We also discuss the challenges and opportunities of teaching data science and visualization to blind students. Our work contributes to the growing body of knowledge on accessible data science and visualization education, and provides insights into the design of online courses for blind students.