Intelligent agent based expert system for blended learning evaluation
Maria Viorela Muntean · 2017
Nowadays there are a great number of applications based on expert systems implementing the expertise of a human academic evaluator. Many of them refer to the self-evaluation of students' academic performance. The actual research targets the evaluation of academic courses from blended learning point of view. In this work, we present the design and implementation of an Intelligent Agent based Expert System that uses a set of rules in order to decide if a course respects or not the blended learning strategies from students' perspective. A conclusion that the proposed application is suitable for course quality evaluation is finally made.