ArticleKorean journal of medical education2026
Digital technology use experience and acceptance perceptions as predictors of metaverse attitudes among health professions students in Korea.
Article in Korean journal of medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
purposeThis study examined differences in digital technology use experience and acceptance perceptions and metaverse attitudes according to major and sex among health professions students. It also determined whether digital technology use experience and acceptance perceptions predicted metaverse attitudes.
methodsAn online survey was administered to 1,329 Korean medical, nursing, and dental students. Metaverse attitudes comprised perceived usefulness (PU), perceived ease of use (PEU), and user attitude (UA). Group differences were examined using Welch's tests, and hierarchical multiple regression identified predictors of PU, PEU, and UA.
resultsNursing students had significantly higher PU and PEU than medical and dental students, whereas dental students had higher UA, indicating stronger negative attitudes and concerns, than the other groups. Digital technology use experience and acceptance perceptions were the strongest positive predictor of PU (β=0.441) and PEU (β=0.447) and negatively predicted UA (β=-0.116).
conclusionDigital technology use experience and positive acceptance perceptions were closely associated with favorable metaverse attitudes. Metaverse-based educational approaches should be tailored to students' disciplinary backgrounds and digital technology- related characteristics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.