Evaluating a Mixed-Reality 3D Virtual Campus With Big Data and Learning Analytics: A transversal study
Livia Stefan, Florica Moldoveanu, Dragos Gheorghiu, Romania
Journal of e-Learning and Knowledge Society Volume 12, Number 2, ISSN 1826-6223 e-ISSN 1826-6223 Publisher: Italian e-Learning Association
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.
Stefan, L., Moldoveanu, F. & Gheorghiu, D. (2016). Evaluating a Mixed-Reality 3D Virtual Campus With Big Data and Learning Analytics: A transversal study. Journal of e-Learning and Knowledge Society, 12(2),. Italian e-Learning Association.
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