A Multi-Agent Architecture for Monitoring Tutoring Activities in VLEs

In regard to distance learning, Brazil currently lives a very special moment, as many courses are being created within that type of education. Virtual Learning Environments (VLEs) have contributed to both the growth and the popularization of distance learning. The level of management of learning processes provided by VLEs, with great interaction and tracking quality, may be singled out as a key indicator of the success of this process. However, these activities aren't always performed adequately. Facing this scenario, this paper has the goal of proposing a multi-agent architecture for monitoring tutoring activities in VLEs, based on information extracted by Learning Analytics (LA) processes, in order to promote the effective participation of students. The multi-agent architecture will be validated in a case study to be carried out in the Secretary of Distance Education at the Federal University of Rio Grande do Norte.