Evidence map›Paper›PMID 38232066›Full record

ArticlePloS one2024

Student intentions to continue with distance learning post-COVID: An empirical analysis.

Adriana Aletta Steyn, Craig van Slyke, Geoffrey Dick, Hossana Twinomurinzi, Lateef Babatunde Amusa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
21.0field-weighted citation impact, top 1% of its field
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, 10 citations in OpenAlex.

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

5 authors at 5 institutions in 3 countries.

Adriana Aletta SteynDepartment of Informatics, University of Pretoria, Pretoria, South Africa.ORCID 0000-0002-9841-2497
Craig van SlykeCollege of Business, Louisiana Tech University, Ruston, Louisiana, United States of America.
Geoffrey DickSt John's University, Queens, New York, United States of America.
Hossana TwinomurinziCentre for Applied Data Science, University of Johannesburg, Johannesburg, South Africa.ORCID 0000-0002-9811-3358
Lateef Babatunde AmusaCentre for Applied Data Science, University of Johannesburg, Johannesburg, South Africa.ORCID 0000-0002-8848-1149
Louisiana Tech University · USSt. John's University · USUniversity of Ilorin · NGUniversity of Johannesburg · ZAUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aftermath of COVID changed how students learn, mainly moving to a distance learning model. The research reported in this paper investigated the organizational and individual factors that influence the preference for continuing with distance / online learning post-COVID. Partial least squares structural equation modeling was applied to a model developed for this research, based on data from 452 students from residential universities in South Africa. The key results reveal an overall reluctance to continue with distance learning. This is despite the technological and faculty support offered to university students and how distance learning fits their learning styles. This is likely due to student living conditions and their perception of low institutional concern. On the other hand, faculty support has a more substantial impact on continuance, compared with a generally negative perception of support from the universities. The research underscores the importance of addressing student reluctance to continue with distance learning by improving institutional support and tailoring learning styles. The research enhances our understanding of crucial factors influencing students' preference for distance/online learning post-COVID. It also underscores the pedagogical shifts brought about by the pandemic, particularly highlighting the changing roles of faculty support and the impact on students' living conditions.

Indexed as

COVID-19Education, DistanceEmotionsHumansIntentionStudents

Identifiers

PMID38232066
PMCPMC10793936
OpenAlexW4390939343

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.