Prototipo ontológico para representación de objetos de simulación interactiva aplicado a entornos digitales de aprendizaje

Abstract

The information that can be obtained by Internet has increased considerably, to the point that the amount of results that can be found when making a simple query, on a search engine can generate millions of results. In addition, it creates the need to use and exploit each of the resources found and that are available to all users. You are two reasons, have driven the generation of new research projects such as the Semantic Web. Basically, the central idea is focused on the machine to extend its capabilities, storing the information and represent it as knowledge, simulating a process of thinking. To achieve this goal, the semantic web relies on the use of representations of knowledge such as ontologies (Gruber, 1993). In the field of education, learning objects represent a valuable tool that complements the learning process of students. Through simulation-type learning resources, it is possible to capture more attention of the students on subjects difficult to understand. "The student retains up to 90% of what he does" (Madrigal Alfaro, 2010). Today, many educational organizations have generated a large number of learning resources available to any user. However, there are many shortcomings in finding each of these learning objects and the relationships that can be given between them. This report presents the results obtained from the design and development of a model that describes semantic level interactive learning simulation resources to be applied to different fields of knowledge, allowing the collections of resources generated by each of the institutions involved in learning processes, can be consulted with a degree of relevance greater than that obtained by using conventional search methods. First, the ontological representation in the domain of learning objects at the simulation level, the prototype design and finally a Web application that allows to verify the adequate design of the ontology and the design of the software model.