Empirical Analysis of Knowledge Co-construction in Educational Metaverse Communities: An Analysis Based on Comments on Social Media Videos
摘要
With the development of the educational metaverse, its social attributes have become increasingly prominent. Social media platforms serve as important communication and learning communities within the educational metaverse, and the interactive characteristics of learners within these platforms warrant further exploration. This study focuses on learning the Lua programming language in the Roblox educational metaverse, using YouTube as a case study. Comments from the top five most-viewed teaching videos were used as the corpus. First, topic modeling was employed to cluster user comments into themes; subsequently, content analysis was used to examine the characteristics and connections between dialogue interactions of metaverse learners in the learning community and community knowledge construction. An ordinal logistic regression model was then established. The results indicated that the metaverse learning community has significant potential for educational applications and demonstrates the characteristics of knowledge co-construction.