Learning objects quality: Moodle HEODAR implementation

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Abstract

One of the most important aspects of a "continuously in change" society is to improve everything everywhere. In order to obtain the best products, they should be periodically evaluated and reengineering. So the evaluation task and, of course, the adequate results interpretation, can make all the difference between competitors. eLearning is similar to this products. Different issues can be evaluated to make learning process getting better and better, such as tutors, platform software and contents. In this last issue, it can be included the minimum knowledge unit: the Learning Object (LO). There exists different models and methods for LO evaluation. What is pretended with this work is to choose one model and implement a singularly tool, in order to automatically evaluate this Learning Objects and produce a set of information, that can be used to improve those Learning Objects. In this case it is implemented the evaluation model called HEODAR in the University of Salamanca framework. © 2009 Springer Berlin Heidelberg.

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Muñoz, C., Conde, M. Á., & Peñalvo, F. J. G. (2009). Learning objects quality: Moodle HEODAR implementation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5736 LNAI, pp. 88–97). https://doi.org/10.1007/978-3-642-04754-1_10

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