Evidence map›Paper›PMID 41479106›Full record

ReviewAdvances in experimental medicine and biology2026

Digital Accessibility for Students with Disabilities and Inclusive Learning in Education.

Elissavet Karageorgou, Styliani Adam, Spyridon Doukakis, Panagiotis Vlamos

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Elissavet KarageorgouDepartment of Informatics, Bioinformatics and Human Electrophysiology Laboratory, Ionian University, Corfu, Greece.
Styliani AdamDepartment of Informatics, Bioinformatics and Human Electrophysiology Laboratory, Ionian University, Corfu, Greece.
Spyridon DoukakisDepartment of Informatics, Bioinformatics and Human Electrophysiology Laboratory, Ionian University, Corfu, Greece.
Panagiotis VlamosDepartment of Informatics, Bioinformatics and Human Electrophysiology Laboratory, Ionian University, Corfu, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement of digital technologies has reshaped education, yet significant barriers persist in ensuring equitable access for students with disabilities. Digital accessibility in education extends beyond technological solutions, requiring institutional commitment, policy reform, and faculty preparedness. This study examines the challenges and opportunities associated with digital accessibility in higher education and workplace inclusion, emphasizing systemic barriers such as inadequate assistive technologies, inaccessible Learning Management Systems (LMSs), and insufficient faculty training. The findings highlight the transformative potential of adaptive learning strategies, including artificial intelligence (AI), extended reality (XR), and human-computer interaction (HCI), in fostering personalized and inclusive learning environments. However, ethical concerns, algorithmic biases, and inconsistent implementation pose substantial obstacles to their effectiveness. The COVID-19 pandemic further exposed critical shortcomings in digital accessibility policies, disproportionately affecting students and employees with disabilities and underscoring the need for inclusive digital literacy initiatives. Addressing these challenges necessitates a holistic approach that integrates universal design principles, strengthens faculty training programs, and fosters interdisciplinary collaboration between educators, policymakers, and technologists. Through this review, sustained investment in assistive technologies is advocated, along with regulatory frameworks mandating digital inclusivity, and the development of digital learning ecosystems. By embedding accessibility as a fundamental component of educational and employment policies, institutions can mitigate the digital divide and advance equitable opportunities for all learners.

Indexed as

COVID-19Education, DistanceLearningPersons with DisabilitiesStudentsArtificial IntelligenceHumansSARS-CoV-2AI in educationAssistive technologyDigital accessibilityE-learning platformsInclusive learning

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.