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  • 标题:Evaluating a Mixed-Reality 3D Virtual Campus With Big Data and Learning Analytics: A transversal study
  • 其他标题:Evaluating a Mixed-Reality 3D Virtual Campus With Big Data and Learning Analytics: A transversal study
  • 本地全文:下载
  • 作者:Livia Stefan ; Florica Moldoveanu ; Dragos Gheorghiu
  • 期刊名称:Je-LKS
  • 印刷版ISSN:1826-6223
  • 电子版ISSN:1971-8829
  • 出版年度:2016
  • 卷号:12
  • 期号:2
  • 页码:41-54
  • DOI:10.20368/1971-8829/1132
  • 出版社:Casalini Libri
  • 摘要:There is a growing body of literature that recognizes the importance of the 3D multi-user virtual environments (3DMUVEs) with high relevance for prospective developments and improvements in both distant and in-class education. However, to be accepted on a larger scale by education practitioners more analytical studies are required to evaluate these environments against usability and pedagogical effectiveness criteria. The present paper proposes an automatic in-world monitoring system consisting in scripted tracking objects and Learning Analytics (LA) tools for an experimental 3D virtual campus. The research was conducted within a transversal study using focus groups from two universities, an engineering and a vocational one. The results highlighted the validity of the automated system and LA tools, which can constitute the ground for more efficient teaching and learning in complex activity-based 3D educational settings.
  • 关键词:Education; Engineering; Design;3D virtual campus; tracking system; Learning Analytics; pedagogical effectiveness; OpenSimulator
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