An intelligent tutoring system for student guidance in web-based courses

Abstract

In this study, an intelligent agent to guide students throughout the course material in the internet is defined. The agent will help students to study and learn the concepts in the course by giving navigational support according to their knowledge level. It uses simplified prerequisite graph model as domain model and simplified overlay model for modeling student. The system adapts the links in the contents page to help students for easy navigation in the course content. In link-level adaptation hiding and annotation technologies which effectively support gradual learning of the learning space are used.