Understanding online knowledge communities via social networks and self-regulation in synchronous VR co-creation for distance learning during the COVID-19 pandemic

Abstract This study examined social networks and self-regulation in two different co-creation environments (2D digital and 3D VR co-creation) through SNA and ANCOVA. The study utilized a quasi-experimental research design with 44 tenth-grade students, 24 males (55%) and 20 females (45%), from an English class at a public senior high school in northern Taiwan. To assess the effects of the environment, the classes were divided into a control group and an experimental group, with a valid sample of 22 in each group. As the results showed, 3D VR co-creation manifested more restricted social networks with fewer cliques but higher cohesiveness, reciprocity and betweenness. This suggests not only greater community solidarity and stability in 3D VR co-creation but also greater needs of 3D VR co-creators for interconnection when facing the novelty effect. Such dependence on interaction corroborated the dominance of lower-level cognitive strategies in 3D VR communities and echoed the ANCOVA results showing that strategy use was the most prominent self-regulatory skill in 3D VR co-creation. The limitation on gender composition was specified. Further implications are discussed, and suggestions for increased co-creation time, coworking strategies, and the development of a predictive model as scaffolding are offered.

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Publication Details

Journal
Educational Technology Research and Development
Published
2026-02-04
DOI
https://doi.org/10.1007/s11423-026-10588-0
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Understanding online knowledge communities via social networks and self-regulation in synchronous VR co-creation for distance learning during the COVID-19 pandemic

Jia Sun, Hsin-Yun Wang
Educational Technology Research and Development
Virtual Reality Applications and Impacts
article

Understanding online knowledge communities via social networks and self-regulation in synchronous VR co-creation for distance learning during the COVID-19 pandemic

Jia Sun, Hsin-Yun Wang
article en

Abstract

Abstract This study examined social networks and self-regulation in two different co-creation environments (2D digital and 3D VR co-creation) through SNA and ANCOVA. The study utilized a quasi-experimental research design with 44 tenth-grade students, 24 males (55%) and 20 females (45%), from an English class at a public senior high school in northern Taiwan. To assess the effects of the environment, the classes were divided into a control group and an experimental group, with a valid sample of 22 in each group. As the results showed, 3D VR co-creation manifested more restricted social networks with fewer cliques but higher cohesiveness, reciprocity and betweenness. This suggests not only greater community solidarity and stability in 3D VR co-creation but also greater needs of 3D VR co-creators for interconnection when facing the novelty effect. Such dependence on interaction corroborated the dominance of lower-level cognitive strategies in 3D VR communities and echoed the ANCOVA results showing that strategy use was the most prominent self-regulatory skill in 3D VR co-creation. The limitation on gender composition was specified. Further implications are discussed, and suggestions for increased co-creation time, coworking strategies, and the development of a predictive model as scaffolding are offered.

Educational Technology Research and Development
National Yang Ming Chiao Tung University (TW), SHL Group (Taiwan) (TW)
Shanghai Educational Development Foundation, National Science and Technology Council
Openalex Percentile: Top 70%
Virtual Reality Applications and Impacts
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Understanding online knowledge communities via social networks and self-regulation in synchronous VR co-creation for distance learning during the COVID-19 pandemic — Jia Sun, Hsin-Yun Wang · Educational Technology Research and Development (2026) | TGRS Research Map | TGRS