Learning Analytics Framework for Educational Virtual Worlds | Zendy

Beatriz Fernández-Gallego | Zendy; Manuel Lama | Zendy; Juan C. Vidal | Zendy; Manuel Mucientes | Zendy

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Learning Analytics Framework for Educational Virtual Worlds

Author(s) -

Beatriz Fernández-Gallego,

Manuel Lama,

Juan C. Vidal,

Manuel Mucientes

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.11.056

Subject(s) - computer science , learning analytics , analytics , process (computing) , focus (optics) , metaverse , virtual learning environment , event (particle physics) , process mining , data science , human–computer interaction , multimedia , work in process , virtual reality , programming language , business process , business process modeling , physics , quantum mechanics , marketing , optics , business

This paper presents a learning analytics framework for 3D educational virtual worlds that focus on discovering learning flows and checking its conformance through process mining techniques. The core of this framework is an Opensim-based virtual world platform, known as OPENET4VE, that is compliant with the IMS Learning Design specification and that has the ability of monitoring and registering the events generated by students and teachers. Based on these event logs, process mining algorithms automatically extract the real learning flow of the course, allowing teachers to introduce changes in the learning flow initially proposed

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