Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/9992
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Prof. LAU Kung Wong, Nick | en_US |
dc.date.accessioned | 2024-05-22T01:21:30Z | - |
dc.date.available | 2024-05-22T01:21:30Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Open journal of art and communication, 2014, vol. 1(1), pp. 14-19. | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/9992 | - |
dc.description.abstract | There is no strong evidence hitherto supporting the males have more competency on using computer than females do, however, gender differences in the use of online learning have been a controversial topic especially since the popularity of shared virtual learning platform like metaverse. In this paper, I am not going to investigate the differences between males and females in using computers as the previous research did, but rather looking at, is there any clear gender differences in E-Learning in particular to the learning in metaverse? An empirical research has been carried out with a pilot lesson in the metaverse and a set of post-lesson online interviews to study the gender differences in a selected metaverse. Although the findings showed no significant gender differences in operating avatars and the system, a clear gender differences in choosing avatars as well as art & design students’ virtual identities have been identified. This gender awareness of choosing avatars can potentially influence art & design students’ learning experience, which is one of the essential areas for studying gender differences in metaverse for further exploration. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Open journal of art and communication | en_US |
dc.title | The gender differences in metaverse : A study of university art & design students | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Applied Data Science | - |
Appears in Collections: | Applied Data Science - Publication |
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