Metaverse in tourism education: A mixed method on vision, challenges and extended technology acceptance model

MakaleAçık Erişim
  • SDG 4 · Nitelikli Eğitim

Özet

The metaverse, an emerging educational frontier, presents boundless opportunities and distinct challenges for educators and students alike. This study delves into these aspects within the context of tourism education, employing a mixed-methods approach. It integrates in-depth interviews with 13 tourism academics and a quantitative survey of 268 tourism students. The qualitative data are meticulously coded, and the quantitative data are analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This research not only conceptually outlines the future benefits of the metaverse, such as enhanced interactive learning and global classroom experiences but also empirically examines its impact on tourism students' engagement and learning outcomes. Key findings highlight both the empowering potential and the infrastructural and accessibility challenges posed by metaverse technology in tourism education. Ultimately, this study provides a holistic view of metaverse-based education's role in advancing the tourism industry, suggesting practical implications for technological adaptation and pedagogical strategies.

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AlanDeğerDil
dc.contributor.authorAkyürek, Suat
dc.contributor.authorGenç, Gökhan
dc.contributor.authorÇalık, İsmail
dc.contributor.authorŞengel, Ümit
dc.date.accessioned2026-10-22T10:22:36.501637980Z
dc.date.available2026-10-22T10:22:36.501637980Z
dc.date.issued2024
dc.description.abstractThe metaverse, an emerging educational frontier, presents boundless opportunities and distinct challenges for educators and students alike. This study delves into these aspects within the context of tourism education, employing a mixed-methods approach. It integrates in-depth interviews with 13 tourism academics and a quantitative survey of 268 tourism students. The qualitative data are meticulously coded, and the quantitative data are analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This research not only conceptually outlines the future benefits of the metaverse, such as enhanced interactive learning and global classroom experiences but also empirically examines its impact on tourism students' engagement and learning outcomes. Key findings highlight both the empowering potential and the infrastructural and accessibility challenges posed by metaverse technology in tourism education. Ultimately, this study provides a holistic view of metaverse-based education's role in advancing the tourism industry, suggesting practical implications for technological adaptation and pedagogical strategies.
dc.identifier.articlenumber100503
dc.identifier.doi10.1016/j.jhlste.2024.100503
dc.identifier.issn1473-8376
dc.identifier.scopus2-s2.0-85193604341
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/14355
dc.identifier.volume35
dc.identifier.wosWOS:001244694700001
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.ispartofJournal of Hospitality, Leisure, Sport and Tourism Education
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMetaverse
dc.subjectTechnology acceptance model
dc.subjectTourism education
dc.subjectVirtual education
dc.subject.classificationEducation & Educational Research
dc.subject.classificationHospitality, Leisure, Sport & Tourism
dc.subject.classificationSocial Sciences - Other Topics
dc.subject.otherSTUDENTS BEHAVIORAL INTENTION
dc.subject.otherDECISION-MAKING
dc.subject.otherUSER ACCEPTANCE
dc.subject.otherSELF-EFFICACY
dc.subject.otherADOPTION
dc.subject.otherTAM
dc.subject.otherTEACHERS
dc.subject.otherATTITUDE
dc.subject.otherWORLD
dc.subject.otherEASE
dc.titleMetaverse in tourism education: A mixed method on vision, challenges and extended technology acceptance model
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex29
rdl.citation.scopus28
rdl.citation.wos22
rdl.oa.statusgreen
rdl.oa.statuspreprint
rdl.oa.urlhttps://www.scopus.com/citation/output.uri?origin=recordpage&view=&src=s&eid=2-s2.0-85193604341&outputType=exportPdf
rdl.scopus.quartileQ1
rdl.sdgSDG04
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexSocial Science Citation Index (SSCI)