Cited by 29Assistive Technology in Communication and MobilityDisability Education and EmploymentDigital Accessibility for Disabilities

Assistive Technology for Higher Education Students with Disabilities: A Qualitative Research

Open access
Papadopoulos, Konstantinos, Koustriava, Eleni, Isaraj, Lisander, Chronopoulou, Elena, Manganello, Flavio, Molina-Carmona, Rafael·2024·Digital

Abstract

The objective of this qualitative investigation is to identify the assistive technology recognized by students with disabilities and to determine the assistive technology (software apps and devices) they require both at university and at home. A total of forty-two students, comprising 20 males and 22 females, were recruited from four different countries (Germany, Greece, Italy, and Spain) for participation in this study. The sample encompassed 10 students with visual impairments, 11 with hearing impairments, 11 with mobility impairments, and 10 with specific learning disabilities. Semi-structured interviews were conducted with the students either online or in person. Content analysis was employed to scrutinize the data obtained from these interviews. The outcomes of this analysis shed light on the assistive technology acknowledged, utilized, or desired by students with disabilities in both academic and domestic settings. The findings from this study carry practical implications for fostering inclusive and accessible education within higher education institutions, benefiting accessibility units/offices staff as well as teaching personnel.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/digital4020025

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Ahmad, F.K. Use of assistive technology in inclusive education: Making room for diverse learning needs. Transcience 2015, 6, 62-77.

Cited by

Sorted by citations

Authors
Papadopoulos, K., Koustriava, E., Isaraj, L., Chronopoulou, E., Manganello, F., & Molina-Carmona, R.
Affiliations
  • University of Macedonia (GR)
  • National and Kapodistrian University of Athens (GR)
  • National Research Council (IT)
  • University of Alicante (ES)
Corresponding author
Papadopoulos, Konstantinos
Venue
Digital
Publisher
MDPI AG
Published
2024-05-23
Volume
4
Issue
2
Pages
501-511
ISSN
2673-6470 (ISSN-L)
OpenAlex
W4398251461
Cited by
28
References
35
Citations by year
2026: 13 · 2025: 13 · 2024: 2
FWCI
23.88
Type
journal article
Language
en
Open access
Locations
  • Digital (publishedVersion, cc-by)
  • RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Erasmus+ (2021-1-EL01-KA220-HED-000032260)
Topics
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
  • Social Sciences › Safety Research › Disability Education and Employment
  • Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
Keywords
assistive technology, students with disabilities, higher education, visual impairment, hearing loss, mobility impairment, specific learning disabilities, accessibility, inclusive education

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