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Digital Accessibility Needs for People with Disabilities in Higher Education

Author

Listed:
  • Radka Nacheva

    (University of Economics - Varna, Bulgaria)

  • Jose Paulo da Costa

    (European Institute for Higher Studies, Fafe, Portugal)

Abstract

To accomplish the UN Sustainable Development Goals and provide possibilities for lifelong learning, digital accessibility is critical for the inclusion of individuals with special needs in higher education. The World Health Organization (WHO) is attempting to integrate those with disabilities into society, as in 2023, 16% of the world's population will have some form of disability. Students with disabilities can overcome obstacles that obstruct their online learning by adhering to accessibility standards and rules, such as the Web Content Accessibility Guidelines (WCAG) established by the World Wide Web Consortium (W3C). Based on a scholarly publishing ontology and industry-leading accessibility standards, the purpose of this paper is to test the accessibility of digital learning resources for higher education purposes. The testing approach is applied to resources offered to computer science students, including PDF files and web content in an e-learning system. Limitations of this paper include the usage of tools for HTML and PDF documents for compatibility with WCAG and lecture notes compatibility with PDF/UA, as well as the number of tested resources.

Suggested Citation

  • Radka Nacheva & Jose Paulo da Costa, 2024. "Digital Accessibility Needs for People with Disabilities in Higher Education," HR and Technologies, Creative Space Association, issue 1, pages 88-101.
    • Handle: RePEc:arb:journl:y:2024:i:1:p:88-101
    as

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    File URL: https://journal.cspace-ngo.com/arb/Issues/2024/1/5-Nacheva-da-Costa.pdf
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    References listed on IDEAS

    as
    1. Liliya Mileva & Pavel Petrov & Plamen Yankov & Julian Vasilev & Stefka Petrova, 2021. "Prototype model for big data predictive analysis in logistics area with Apache Kudu," Economics and computer science, Publishing house "Knowledge and business" Varna, issue 1, pages 20-41.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    web content accessibility; digital content accessibility; accessibility standards;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

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