Electronic doors to education: study of high school website accessibility in Iowa
Abstract
The Americans with Disabilities Act (ADA), and Sections 504 and 508 of the Rehabilitation Act, prohibit discrimination against people with disabilities in all aspects of daily life, including education, work, and access to places of public accommodations. Increasingly, these antidiscrimination laws are used by persons with disabilities to ensure equal access to e-commerce, and to private and public Internet websites. To help assess the impact of the anti-discrimination mandate for educational communities, this study examined 157 website home pages of Iowa public high schools (52% of high schools in Iowa) in terms of their electronic accessibility for persons with disabilities. We predicted that accessibility problems would limit students and others in obtaining information from the web pages as well as limiting ability to navigate to other web pages. Findings show that although many web pages examined included information in accessible formats, none of the home pages met World Wide Web Consortium (W3C) standards for accessibility. The most frequent accessibility problem was lack of alternative text (ALT tags) for graphics. Technical sophistication built into pages was found to reduce accessibility. Implications are discussed for schools and educational institutions, and for laws, policies, and procedures on website accessibility.
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Eighty percent of Web sites fail to satisfy basic accessibility requirements.
“Research shows that 80% of Web sites do not meet basic accessibility requirements (Loiacono and McCoy, 2004;Sullivan and Matson, 2000;Klein et al., 2003).”
From Understanding Blind Users' Web Accessibility and Usability Problems (2010) · cites this paper as Klein et al., 2003
Cited by
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Leuthold, S., Bargas-Avila, J. A., & Opwis, K. (2008) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2007.10.006 · Cited by 109 · see citing works
Understanding Blind Users' Web Accessibility and Usability Problems
The University of North Carolina - Greensboro, Babu, R., Singh, R., The University of North Carolina at Greensboro, U., Ganesh, J., & Limited, I. T. (2010) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00015 · Cited by 59 · see citing works
Kimmons, R. (2017) · Journal of Computing in Higher Education · doi:10.1007/s12528-017-9151-3 · Cited by 34 · see citing works
Giannoumis, G. A. (2015) · First Monday · doi:10.5210/fm.v20i9.6167 · Cited by 6 · see citing works
- Authors
- Klein, D., Myhill, W., Hansen, L., Asby, G., Michaelson, S., & Blanck, P.
- Affiliations
- University of Iowa (US)
- Corresponding author
- Klein, David
- Venue
- Behavioral Sciences & the Law
- Publisher
- Wiley
- Published
- 2003-01
- Volume
- 21
- Issue
- 1
- Pages
- 27-49
- ISSN
- 0735-3936 (ISSN-L)
- 1099-0798
- OpenAlex
- W2121090322
- Cited by
- 42
- References
- 0
- Citations by year
- 2025: 1 · 2022: 1 · 2021: 1 · 2019: 1 · 2018: 2 · 2017: 4 · 2016: 2 · 2015: 2 · 2014: 4 · 2013: 1 · 2012: 3
- FWCI
- 2.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behavioral Sciences & the Law (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Social Sciences › Safety Research › Disability Rights and Representation
- Social Sciences › Safety Research › Disability Education and Employment
- Keywords
- web accessibility, people with disabilities, Americans with Disabilities Act, Section 504, Section 508, Rehabilitation Act, web accessibility standards, W3C accessibility guidelines, alternative text, Iowa public schools
- MeSH terms
- Education, Persons with Disabilities, Humans, Iowa, Prejudice, Teaching, United States, Visual Perception, Internet
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.
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