Reference network: A genetic model for intelligent tutoring systems

Abstract

Knowledge evolution and curriculum management are generally components that remain external to ITSs. Most ITSs are situated in a more or less explicit theory of learning and teaching, but few implementations incorporate pieces of this theory. In this paper, we review previous works dealing with knowledge evolution and stand reference knowledge state as a basic concept for the domain knowledge of an ITS. We present our current model and ITS for algebraic problem-solving and set up knowledge evolution issues in algebra. We define and describe the reference network, a theoretical domain model allowing to include didactic evolutions and to share the student's tutoring between the ITS and the teacher.