Journals Proceedings

Abstract

The intelligent tutoring sytems (ITS) are generations of computer based educational sysems that supports the teaching and learning processes with the aim of helpping students to achieve maximum learning goals. A major advanage of these systems is that they can be implemented in all kinds of educational environments either in the normal school environments in the form of stand-alone applications or as programs that remotely deliever knowledge through computers over the internet. The underline idea behind building intelligent tutoring systems is to integrate modern technological advancements with artificial intelligence techniques in the field of education with a view to making the teaching and learning activities highly advanced and more effective. An important feature that enhance the effectiveness of the teaching and learning processes with the ITS is the ability of the system to adapt to each individual student based on his/her characteristics, through making observations on the student’s activities while they interct with the system. This phenomenum for observing student’s actions while interacting with the ITS in order to build their profiles is known as student modeling. The aim of this paper therefore, is to review the state of art in student modeling in an intelligent tutoring system.