Classification of system-based intelligent learning styles: a case study in technology-mediated education
Intelligent Agents, Learning Styles and Distance Education
With the growth of distance education (EAD) in Brazil in its levels of education, be it medium, technical or superior and the increase in the offer of online courses made available through the Virtual Learning Environments (AVA), there is a concern with the development Of this student during the course and their learning. In order to associate the resources and activities offered in AVA with the Learning Styles classes, this work proposes to create an algorithm that can identify the behavior patterns of the EAD students through the use of tools available in the AVA and associates them with a classification of Learning Styles in order to assist the teacher in the preparation of his / her lesson plans, suggesting resources and evaluation activities arranged in the AVA that will favor the learning of its students according to the Learning Style characteristic of each one of them.