Recommending Learning Objects Based on Utility and Learning Style

The information and communication technologies have become increasingly present in education, either as support for classroom learning, whether in distance learning. Among these technologies, software known as Learning Management Systems - LMS are used for better student-teacher communication and especially for providing instructional materials, activities, assessments and other resources to provide collaborative activities. Despite the large number of LMS' systems available nowadays, these environments and its tools are not always useful in the teaching-learning process. Moreover, every individual possesses a different personal Learning Style (LS), or, in other words, absorbs, processes, and transforms information into knowledge in different ways. When using these differences to recommend Learning Objects (LOs), we allow students access to educational resources that are more adequate to their teaching-learning processes. This article presents a system that utilizes a recommendation technique based on utility, or usefulness, to recommend LOs, stemming from three aspects: the subject the one wishes to learn, one's personal preferences and one's LS. At the end of this article the results of the experiment will be described, which demonstrate the importance of this approach, as well as future projects.