Evidence map›Paper›PMID 39130424›Full record

ArticleHeliyon2024

A framework to foster accessibility in post-pandemic virtual higher education.

Ricardo Mendoza-González, Cristian Timbi-Sisalima, Mary Sánchez-Gordón, Salvador Otón-Tortosa

Abstract read
In one paragraph

Article in Heliyon, 2024. 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.

Ricardo Mendoza-GonzálezDepartment of Systems and Computing, Tecnológico Nacional de México, Campus Aguascalientes, Aguascalientes, Mexico.
Cristian Timbi-SisalimaGI-IATa, Cátedra UNESCO Tecnologías de apoyo para la Inclusión Educativa, Universidad Politécnica Salesiana, Cuenca 010102, Ecuador.
Mary Sánchez-GordónComputer Science Department, Østfold University College, 1757, Halden, Norway.
Salvador Otón-TortosaComputer Science Department, University of Alcala, 28871, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 Coronavirus pandemic (COVID-19) forced educational institutions to move their programmes to the virtual world. Several tech-based solutions -including virtual training and tutoring, discussion forums, access to content and information, collaborative platforms, and Open Educational Resources (OER)- were implemented to address this shift and continue to be used in the post-pandemic era due to the advantages they offer, especially for hybrid and blended learning. However, the implementation of these tech-based solutions also revealed several accessibility issues that need to be addressed to fully leverage the technological benefits. This study aims to provide a framework to facilitate the adoption of good practices related to technological accessibility in virtual Higher Education. The implementation of the framework is divided into four basic actions, each of which should be tailored to the constraints and needs for improving accessibility in Higher Education Institutions (HEIs). The framework's instantiation in four HEIs serves as a proof-of-concept in real-world scenarios. The preliminary results suggest that the proposal is promising, as it was adaptable to the specific needs of each HEI fostering accessibility and inclusion through technological alternatives that align with their organisational structures and current levels of attention to accessibility.

Indexed as

AccessibilityBlended learningHybrid learningPandemicVirtual higher education

Identifiers

PMID39130424
PMCPMC11315125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.