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Conference Paper: Learning Analytics for Collaboration Quality Assessment during Virtual Reality Content Creation

TitleLearning Analytics for Collaboration Quality Assessment during Virtual Reality Content Creation
Authors
Wang, ZuoNg, Jeremy Tzi DongHu, Xiao
Keywordscollaboration learning
learning analytics
virtual reality maker activity
Issue Date1-Jul-2024
PublisherIEEE
Abstract

In this paper, we present an empirical study on collaborative virtual reality (VR) maker activities. A platform called CLEVR was designed to facilitate real-time VR co-creation with group awareness features. We develop an assessment framework for collaborative quality using log-based learning analytics (LA). By conducting time-series analysis on five pairs of participants, we demonstrate the potential of our platform and methodology for the development of LA tools to understand and support collaborative learning.


Persistent Identifierhttp://hdl.handle.net/10722/348231

 

DC FieldValueLanguage
dc.contributor.authorWang, Zuo-
dc.contributor.authorNg, Jeremy Tzi Dong-
dc.contributor.authorHu, Xiao-
dc.date.accessioned2024-10-08T00:31:07Z-
dc.date.available2024-10-08T00:31:07Z-
dc.date.issued2024-07-01-
dc.identifier.urihttp://hdl.handle.net/10722/348231-
dc.description.abstract<p>In this paper, we present an empirical study on collaborative virtual reality (VR) maker activities. A platform called CLEVR was designed to facilitate real-time VR co-creation with group awareness features. We develop an assessment framework for collaborative quality using log-based learning analytics (LA). By conducting time-series analysis on five pairs of participants, we demonstrate the potential of our platform and methodology for the development of LA tools to understand and support collaborative learning.</p>-
dc.languageeng-
dc.publisherIEEE-
dc.relation.ispartof2024 IEEE International Conference on Advanced Learning Technologies (ICALT) (01/07/2024-04/07/2024, Nicosia, North Cyprus, Cyprus)-
dc.subjectcollaboration learning-
dc.subjectlearning analytics-
dc.subjectvirtual reality maker activity-
dc.titleLearning Analytics for Collaboration Quality Assessment during Virtual Reality Content Creation-
dc.typeConference_Paper-
dc.identifier.doi10.1109/ICALT61570.2024.00032-
dc.identifier.scopuseid_2-s2.0-85203822829-
dc.identifier.spage91-
dc.identifier.epage93-

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