MIRROS: Intermediary Model to Recovery Learning Objects

Abstract

Abstract. Techniques for recovery and reuse of learning objects in various learning management systems actually provide learning alternatives and services for online learning. One of these alternatives is the recovery of resources in the Learning Objects Repositories (LOR); this LOR hand out different services such as search for a specific resource by a user. From the perspective of artificial intelligence, it is possible to recover the digital resources based on metadata, with different possibilities for improving search mechanisms that satisfy a query according to the user profile with specific needs. The paper shows a proposal where searching services repositories of learning objects can be implemented by creating a reference model involving agents or elements implicated in learning or recommend learning objects based on the users requirement. From this perspective is proposed a reference model to recovery learning objects in a specific learning context.