Exploring the Impact of Avatar Customization in Metaverse: The Role of the Class Mode on Task Engagement and Expectancy-Value Beliefs for Fashion Education

  • Juyeun Jang
  • , Jongsun Kim

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)

Abstract

This study aims to explore the impact of avatar customization in metaverse environments, especially for fashion education. Considering the unique nature of fashion as an educational field in which theories and practices are equally significant, the impact of class modes (theoretical versus practical) on expectancy and value toward the class in the metaverse environment is empirically investigated, with task engagements as mediators. Students' creative self-efficacy, an individual characteristic, was considered as a moderator. A total of 38 female undergraduate students participated voluntarily. In the experimental session, the participants were randomly allocated to one of the two class mode conditions, theoretical or practical. They were then asked to customize their own avatars for use in the metaverse class and write a descriptive essay about the avatar they made. The results showed that the practical class mode evoked higher engagements (i.e., dedication and absorption), which demonstrates the participants' positive expectancy (i.e., self-efficacy for learning and performance) and value (i.e., task value belief) toward learning in the metaverse class. Interestingly, participants' creative self-efficacy played a moderating role in the impact of dedication on expectancy and value in different directions, while the impact of absorption was positive regardless of participants' creative self-efficacy level. Additionally, we found that expectancy and value toward learning led to the participants' positive class engagement intention.

Original languageEnglish
Article number2967579
JournalMobile Information Systems
Volume2023
DOIs
Publication statusPublished - 30 Jan 2023

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications

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