Systems for Scaling Accessibility Efforts in Large Computing Courses
Ritesh Kanchi,
Miya Natsuhara,
Matt Wang
Paul G. Allen School of Computer Science & Engineering, University of Washington
Presented at SIGCSE TS 2026
About this website
This website accompanies our SIGCSE 2026 experience report:
Ritesh Kanchi, Miya Natsuhara, and Matt X. Wang. 2026. Systems for Scaling Accessibility Efforts in Large Computing Courses. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1 (SIGCSE TS 2026), February 18–21, 2026, St. Louis, MO, USA. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3770762.3772648
This website contains several of the training materials and resources we developed, including:
- Accessibility Issue Classification Templates
- Should it alt text? Activity
- Spot & Improve Activity
- Fix the Deck Activity
Acknowledgments
We thank the UW CSE 12X introductory programming instructors, teaching assistants, and students. We are especially grateful to Jennifer Mankoff, Brianna Wimer, Ather Sharif, Venkatesh Potluri, Kelly Avery Mack, Shuxu Huffman, Ruth Anderson, Gaby de Jongh, Sean Mealin, Justin Hsia, Michael Ball, and Richard E. Ladner, whose input shaped our trainings, tooling, and writing. This work was supported in part by the NSF BPC Alliance AccessComputing (2137312) and the Paul G. Allen School of Computer Science & Engineering.
Citing these materials
If you use any of the materials in this repository or reference our paper, please use the following BibTeX entry.
@inproceedings{systemsforscalingaccessibility,
author = {Kanchi, Ritesh and Natsuhara, Miya and Wang, Matt},
title = {Systems for Scaling Accessibility Efforts in Large Computing Courses},
booktitle = {Proceedings of The Technical Symposium on Computer Science Education (SIGCSE ’26)},
year = {2026},
doi = {10.1145/3770762.3772648},
publisher = {ACM},
location = {St. Louis, MO, USA},
numpages = {7},
series = {SIGCSE 2026}
}
Contact
If you have any questions, feel free to contact the first author Ritesh Kanchi directly.