Learning Analytics Framework for Educational Virtual Worlds

被引：26

作者：

Fernandez-Gallego, Beatriz ^{[1
]}

Lama, Manuel ^{[1
]}

Vidal, Juan C. ^{[1
]}

Mucientes, Manuel ^{[1
]}

机构：

[1] Univ Santiago de Compostela, Ctr Singular Invest Tecnoloxias Informac CiTIUS, Santiago, Spain

来源：

2013 INTERNATIONAL CONFERENCE ON VIRTUAL AND AUGMENTED REALITY IN EDUCATION | 2013年 / 25卷

关键词：

Learning analytics; Process mining; 3D Educational Virtual Worlds; IMS Learning Design; Petri nets;

D O I：

10.1016/j.procs.2013.11.056

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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. (c) 2013 The Authors. Published by Elsevier B.V.

引用

页码：443 / 447

页数：5

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