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

Detalles Bibliográficos
Publicado en:BMC Nursing Vol. 23; no. 1; pp. 1 - 9
Autores principales: Sezer, Hale, Gül, Abdülkadir
Formato: research tables/charts Journal Article
Publicado: BioMed Central 9/15/2024
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179667902&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 179667902
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        14726955
        1CIA
      jtl: BMC Nursing
      issn: 14726955
      maglogo: N
    pubinfo:
      dt: 9/15/2024
      vid: 23
      iid: 1
      pid: 24147
      pub: BioMed Central
    artinfo:
      ui:
        179667902
        179667902
        179667902
        10.1186/s12912-024-02309-w
        179667902
      ppf: 1
      ppct: 8
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Health sciences students' perspectives on metaverse and digital technology use: cross-sectional descriptive study.
      aug:
        au:
          Sezer, Hale
          Gül, Abdülkadir
        affil: https://ror.org/017v96566 Department of Nursing Education, Faculty of Health Science, Izmir Bakırçay University, Izmir, Turkey
      sug:
        subj:
          Student Attitudes
          Education, Health Sciences
          Digital Technology
          Students, Medical Psychosocial Factors
          Human
          Descriptive Research
          Cross Sectional Studies
          T-Tests
          Analysis of Variance
          Multivariate Statistics
          Multivariate Analysis of Variance
          Pearson's Correlation Coefficient
          Confidence Intervals
          Surveys
          Questionnaires
          Scales
          Summated Rating Scaling
          Data Analysis Software
          Male
          Female
          Young Adult
          Male
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N