Improving Learning Object Quality: Moodle HEODAR Implementation

Improving Learning Object Quality: Moodle HEODAR Implementation

Carlos Muñoz, Francisco J. García-Peñalvo, Erla Mariela Morales, Miguel Ángel Conde, Antonio M. Seoane
Copyright: © 2012 |Pages: 16
DOI: 10.4018/jdet.2012100101
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Automation toward efficiency is the aim of most intelligent systems in an educational context in which results calculation automation that allows experts to spend most of their time on important tasks, not on retrieving, ordering, and interpreting information. In this paper, the authors provide a tool that easily evaluates Learning Objects quality by students and teachers and calculate a set of relevant information which main objective is to improve the contents. The job focuses on the definition, implementation, and installation of a Learning Object evaluation tool in a LMS environment. Firstly other similar tools are analyzed and the best theoretical evaluation method to be used in the tool is selected. In this case, an evaluation model called HEODAR (Herramienta de Evaluación de Objetos de Aprendizaje) is implemented. Finally, the produced tool is installed in Studium, the University of Salamanca official campus, based on Moodle. Test results are populated to clarify and confirm the consecution of tool implementation objectives, facing a new approach for the tool including intelligent capabilities to improve tool characteristics.
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Measuring Learning Objects

The evaluation task of any entity, component, object or concept has been occurring over time. However, the definition spirit of that term, has been maintaining during that time, as long as it is a technique used to enhance and improve of any of them.

In an eLearning scope, there are many factors that can be evaluated: tutors, students, platforms, documents and so on. Of course, since Learning Objects emergence, these can be added to the list, as a feasible element to be improved, analyzing the results obtained by the application of appropriate evaluation techniques.

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