Evidence map›Paper›PMID 40016357›Full record

ArticleScientific reports2025

Fighting Zoom fatigue: Evidence-based approaches in university online education.

Johannes M Basch, Patrick Albus, Tina Seufert

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

3 authors.

Johannes M BaschHochschule Neu-Ulm, Neu-Ulm, Germany.ORCID http://orcid.org/0000-0003-4847-2181
Patrick AlbusInstitute of Psychology and Education, Department for Learning and Instruction, Ulm University, Lise-Meitner Straße 16, 89081, Ulm, Germany.ORCID http://orcid.org/0000-0002-7011-8106
Tina SeufertInstitute of Psychology and Education, Department for Learning and Instruction, Ulm University, Lise-Meitner Straße 16, 89081, Ulm, Germany. tina.seufert@uni-ulm.de.ORCID http://orcid.org/0000-0002-8685-4116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the world has rapidly transitioned to virtual platforms for education due to the Covid-19 pandemic, a new phenomenon known as "Zoom fatigue" has emerged. This term refers to the exhaustion associated with the extensive use of virtual communication platforms. In this context, the present study investigates the effects of different virtual class settings on cognitive load and fatigue. Four interventions were examined: self-view on vs. self-view off, focus-view function vs. grid-view function, activating a virtual background vs. natural background, and active participation vs. no active participation. The results suggest that turning off self-view can significantly reduce both cognitive load and fatigue. However, the effects of focus-view function vs. grid-view function did not reach significance for either cognitive load or fatigue. Similarly, using a virtual background vs. a natural background did not significantly affect fatigue, but it did influence cognitive load, with higher values for virtual backgrounds. Lastly, active participation in classes was associated with decreased fatigue and lower extraneous cognitive load compared to no active participation. The findings highlight the importance of considering both technological aspects (e.g., self-view, background settings) and pedagogical approaches (e.g., active participation) in online teaching to promote a more engaging and less fatiguing learning environment.

Indexed as

COVID-19Education, DistanceFatigueAdultCognitionFemaleHumansMaleSARS-CoV-2StudentsUniversitiesYoung AdultOnline educationOnline teachingVideoconference fatigueZoom fatigue

Identifiers

PMID40016357
PMCPMC11868410

What OpenQuestion holds

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LicenceCC BY
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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.