Measuring Knowledge Transfer Skills by Using Constrained-Student Modeler Autonomous Agent

In this paper we propose a methodology for the design of student modeler autonomous agent based on constraint model. The function of our autononious agent is to interpret the student’s constraint violations arid draw a behavioral schema of the student’s knowledge transfer skills on neural networks concepts. We aimed to build a student modeler by taking advantage of both the theoretical framework of the constraint-based model and the autononiou~ agent. This enables us to generate from a set of constraints desirable jiinctions such as, task generation, hints, arid domain application metaphors related to the student’s learning goals. We present the fundanientul issue of how to represent a student knowledge transfer skills in an autonomous agent.