Enhancing the effectiveness of intelligent tutoring systems using adaptation and cognitive diagnosis modeling

Abstract

This paper presents a novel framework for developing educational hypermedia systems incorporating adaptation techniques and tailored feedback. In particular, the adaptation techniques refers to the content presentation; where the system hides/displays information according to students' knowledge level and learning goals, and to the navigation design; where the system proposes the learning path that is better to be followed based on their profile. Finally, the framework embodies a diagnostic model that analyzes the students' misconceptions and provides tailored feedback and advices on bridging students' knowledge gap. This framework aims to enhance the effectiveness of learning process, increasing student engagement through the adaptive content and navigation and improving student performance through the tailored feedback.