Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7841
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dc.contributor.authorProf. LAU Kung Wong, Nicken_US
dc.contributor.authorLee, Pui Yuenen_US
dc.date.accessioned2023-05-22T08:07:29Z-
dc.date.available2023-05-22T08:07:29Z-
dc.date.issued2021-
dc.identifier.citationVirtual reality : the journal of the Virtual Reality Society, 2021, Vol.25 (4), p.985-998en_US
dc.identifier.issn1359-4338-
dc.identifier.issn1434-9957-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7841-
dc.description.abstractCurrent research has constantly highlighted the significance of developing a learning culture with a robust knowledge sharing and transfer process in knowledge-based societies. The emergence of stereoscopic 3D virtual technologies provides organizations with an opportunity to develop immersive and virtual professional training practices for employees’ transformative learning. This research gathered data from a survey of 326 respondents to investigate employees’ virtual learning experiences in a virtual learning environment (VLE). The results show that a successful VLE model could possibly enhance employees’ learning motivation, process and satisfaction. The empirical evidence of this research suggests that there are three key components of framework for actual implementation; they are (1) the careful selection of VLE; (2) the appropriate design of pedagogical strategies; and (3) the effective use of virtual stimuli which involves the factors of the stereoscopic 3D visualization, telepresence and multisensory interactions.en_US
dc.language.isoenen_US
dc.publisherLondon: Springer Londonen_US
dc.relation.ispartofVirtual reality : the journal of the Virtual Reality Societyen_US
dc.titleUsing virtual reality for professional training practices: exploring the factors of applying stereoscopic 3D technologies in knowledge transferen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1007/s10055-021-00504-7-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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