Reinforcing assessment processes using proactive case-based reasoning mechanisms

Abstract

The integration of case-based reasoning mechanisms into E-learning systems is not a recent option. These mechanisms allow us to implement reasoning systems using similar experiences in a retrospectively way, which is quite attractive for problem solving in some application areas. Its application promotes the achievement of very interesting solutions, especially when an interesting case base exists a priori, integrating knowledge and appropriate problem-solving methods. In this paper, we present and describe a hybrid reasoning system especially developed to support student knowledge assessment processes in an E-learning platform. The system integrates two autonomous reasoning modules, which combine their functioning during knowledge assessment processes, combining rule-based and case-based knowledge, respecting a set of assessment restrictions defined a priori by a human supervisor.