Using intelligent agents with educational goals in personalized recommendation of content in virtual learning environments 3D

Abstract

Virtual environments in three dimensions (3D) provide a wealth of detail, sense of immersion and interaction with various features. A virtual museum, from its 3D virtual platform and the resources it can offer, works as an efficient educational tool as it provides information to its visitors in a simplified. However, a limitation of the use of virtual museums for learning is that these environments do not take into account the individual and contextualcharacteristics of each visitor, considerably limiting their learning experience and navigation. Thus, this paper presents a 3D virtual museum, whose differential isrecommendation personalized of content. To achieve this goal, we used intelligent agents and ontologies for perform satisfactorily the recommendation.

Index Terms - 3D virtual museum, recommendation personalized of content, intelligent agents and recommendations systems.