Accessibility and Disability in PreK-12 CS: Results from a Landscape Survey of Teachers
Open accessAbstract
Despite the interest in equity, little research has considered students with disabilities in PreK-12 computer science education. The 2022 Computer Science Teachers Association and Kapor Center facilitated Landscape Survey of PreK-12 CS Teachers, which had over 2200 responses, gives us new insight. There were few significant differences between the experiences and perceptions of teachers with disabilities and those without. Accessibility was the least taught computing concept. Furthermore, teachers reported on a variety of barriers that students with disabilities encounter related to structural barriers, students choosing note to take CS, and teachers' perceptions of student ability. The findings point to the need for interventions related to resources, outreach, and policy.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Teachers can harbor biases about ability.
“Since teachers can harbor biases about ability [12]”
From Where are the Disabled Students?: A Literature Review of Disability Inclusion in Computing Education Research (2026) · cites this paper as [12]
Cites
Computer Science Principles for Teachers of Blind and Visually Impaired Students
Stefik, A., Ladner, R. E., Allee, W., & Mealin, S. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education · doi:10.1145/3287324.3287453 · Cited by 39 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Figueira, I., Cisneros, J. M., Weber, J. L., Sanka, W., Phan, K., Wong-Ma, J., & Branham, S. M. (2026) · Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1 · doi:10.1145/3770762.3772561 · Cited by 3 · see citing works
- Authors
- Blaser, B., Ladner, R. E., Twarek, B., Stefik, A., & Stabler, H.
- Affiliations
- University of Washington (US)
- Computer Science Teachers Association, Chicago, IL, USA, IL, USA
- University of Nevada, Las Vegas (US)
- Venue
- Proceedings of the 2024 on RESPECT Annual Conference
- Publisher
- ACM
- Published
- 2024-05-16
- Pages
- 13-20
- OpenAlex
- W4396881351
- Cited by
- 18
- References
- 1
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 2
- FWCI
- 7.89
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) (publishedVersion, cc-by)
- Funders
- National Science Foundation (2121993, 2122189, 2106392, and 2118453)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Social Sciences › Gender Studies › Gender and Technology in Education
- Social Sciences › Sociology and Political Science › Inclusion and Disability in Education and Sport
- Keywords
- students with disabilities, computer science education, accessibility, PreK-12 education, teacher perceptions, equity in computing, structural barriers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review