Monitoring and Adaptation of Assessment Process in Virtual Courses Based in Multi-agent Systems

This paper presents an adaptive assessment system that adapts itself to the specific conditions of each student, modeled by means of a Multi-Agent Systems (MAS). This approach implies to see the monitoring and assessment as a teaching-learning tool and not only as an measuring mechanism. The Artificial Intelligence field, in particular the MAS approach plays a crucial role in the utilization of new technologies applied to Education and Learning Processes; the proposal advantage of the capacity to distribute knowledge and processing which is intrinsically provided by this Artificial Intelligence Technique. The literature reports important works most focused on the adaptation of the instruction processes, with very few supporting to learning assessment.