à utomation toward efficiency is the aim of most inteiiigent systems in an educational context in which results caicuiation automation that aiiows experts to spend most of their time on important tasks, not on retrieving, ordering, and interpreting information. In this paper, the authors provide a tooi that easiiy 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, impiementation, and instaiiation of a Learning Object evaiuation tooi in a LMS environment. Firstiy other similar tools are analyzed and the best tiieoreticai evaiuation method to be used in the tooi is seiected. In ihis case, an evaiuation model caiied HEODAR (hlerramienta de Evaluación de Objetos de Aprendizaje) is impiemented. Finaily, the produced tooi is installed in Studium, the University of Salamanca officiai campus, based on Moodie. Test results are populated to darijy and confirm the consecution of tooi impiementation objectives, facing a new approach for tite tooi inciuding inteiiigent capabiiities to improve tooi characteristics.
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 reengineered. So the evaluation task and of course, the adequate results interpretation, can make all the difference between competitors. E-learning is similar to these 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) (De Marcos et al., 2008). There exist different models and methods for LO evaluation. What is pretended with this work is to choose one model and implement a singular tool, in order to automatically evaluate these LOs and produce a set of information, that can be used to improve those LOs. In this case, it is implemented in the evaluation model called HEODAR (Morales et al., 2008a) and after that the model is implanted in Studium,
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.