Evidence map›Paper›PMID 37371368›Full record

ArticleBrain sciences2023

An Examination of the Effects of Virtual Reality Training on Spatial Visualization and Transfer of Learning.

Kristen Betts, Pratusha Reddy, Tamara Galoyan, Brian Delaney, Donald L McEachron, Kurtulus Izzetoglu, Patricia A Shewokis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Kristen BettsSchool of Education, Drexel University, Philadelphia, PA 19104, USA.
Pratusha ReddySchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Tamara GaloyanSchool of Education, Drexel University, Philadelphia, PA 19104, USA.
Brian DelaneySchool of Communication and Journalism, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0001-8548-139X
Donald L McEachronSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Kurtulus IzzetogluSchool of Education, Drexel University, Philadelphia, PA 19104, USA.ORCID 0000-0001-5304-7361
Patricia A ShewokisSchool of Education, Drexel University, Philadelphia, PA 19104, USA.ORCID 0000-0001-9246-9495

Funding

Drexel University Provost Office
6 · The paper itself

Abstract

Spatial visualization ability (SVA) has been identified as a potential key factor for academic achievement and student retention in Science, Technology, Engineering, and Mathematics (STEM) in higher education, especially for engineering and related disciplines. Prior studies have shown that training using virtual reality (VR) has the potential to enhance learning through the use of more realistic and/or immersive experiences. The aim of this study was to investigate the effect of VR-based training using spatial visualization tasks on participant performance and mental workload using behavioral (i.e., time spent) and functional near infrared spectroscopy (fNIRS) brain-imaging-technology-derived measures. Data were collected from 10 first-year biomedical engineering students, who engaged with a custom-designed spatial visualization gaming application over a six-week training protocol consisting of tasks and procedures that varied in task load and spatial characteristics. Findings revealed significant small (Cohen's

Indexed as

cognitive loadfNIRSfunctional brain imagingmental workloadproblem solvingretentionspatial navigationvirtual reality

Identifiers

PMID37371368
PMCPMC10296355

What OpenQuestion holds

Textmetadata
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.