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

  • Authors:
  • Affiliations:
  • Venue:
  • ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
  • Year:
  • 2001

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Abstract

Abstract: In this paper we propose a methodology for the design of student modeler autonomous agent based on constraint model. The function of our autonomous agent is to interpret the student's constraint violations and 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 autonomous agent. This enables us to generate from a set of constraints desirable functions such as, task generation, hints, and domain application metaphors related to the student's learning goals. We present the fundamental issue of how to represent a student knowledge transfer skills in an autonomous agent.