Evidence map›Paper›PMID 39278911›Full record

ArticleBMC nursing2024

Health sciences students' perspectives on metaverse and digital technology use: cross-sectional descriptive study.

Hale Sezer, Abdülkadir Gül

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

2 authors.

Hale SezerDepartment of Nursing Education, Faculty of Health Science, Izmir Bakırçay University, Izmir, Turkey. haleyacan@yahoo.com.
Abdülkadir GülInternal Medicine Department, Izmir Bakırçay University, İzmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudents' attitudes towards digital technologies affect their use of innovations in digital education. In the study, it was aimed to determine undergraduate health sciences students' views about the Metaverse and digital technology.

methodsThis study was a cross-sectional descriptive study. In the study sample, 289 health sciences students who voluntarily agreed to participate in the research and filled out the online data collection form were included. The Independent Samples T-Test, Multivariate ANOVA analysis of variance (MANOVA) and Pearson correlation analysis were used. P-values less than 0.05 were considered statistically significant.

resultsThe mean score the participants obtained from the Metaverse Scale was 53.54 ± 9.00, indicating that their levels of knowledge and awareness about the Metaverse were high. The mean score they obtained from the Attitude Scale for Digital Technology was 135.98 ± 21.28, which indicated that displayed positive attitudes towards digital technology. There was no significant difference between the mean scores the participants obtained from the Attitude Scale for Digital Technology and the Metaverse Scale according to their departments and years in school. There was a positive and weak relationship between the Metaverse Scale scores and Attitude Scale for Digital Technology scores.

conclusionsThe participants' knowledge and awareness levels about the Metaverse were high and they displayed positive attitudes towards digital technology. It is recommended that digital technologies should be used in planning undergraduate education and Metaverse platforms or applications in virtual classroom settings.

Indexed as

Digital technologyHealth scienceMetaverseStudent

Identifiers

PMID39278911
PMCPMC11403773

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LicenceCC BY-NC-ND
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Registered trials

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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.