Modelo de sistema de recomendação de materiais didáticos para ambientes virtuais de aprendizagem.

Abstract

Recommender Systems are used by many companies that operate e-commerce to suggest items to its customers in a customized way. To achieve this end, these systems analyze the profile of the users through their personal data or by its interaction with the computing environment. Virtual Learning Environments, in turn, are computational environments used in teaching and learning in distance education, and aims to mediate the interactions among their users, such as teachers and students. In these environments are usually stored teaching materials used in courses such as word processing documents, brochures, and even audio and video. Over time, the number of textbooks tends to grow, making it important to have a tool that makes customized recommendations for users of the environment. Given these concepts, this work addresses the creation of a recommender system model of instructional materials to be used in Virtual Learning Environments, in order to suggest to users, instructional materials consistent with their profile. The creation of a recommendation system architecture, used in implementing a computer system model, to test and verify its operation, as the algorithm for generating recommendations, will also be addressed. Finally, the paper addresses the experimental work with students in an extension course, where the results regarding the recommendations generated have been identified