Personalisation of learning process in intelligent tutoring systems using behavioural measures

Abstract

The main goal of an intelligent tutoring system is to provide learning materials suitable for students’ needs and preferences. Observations and analysis of students’ behaviour and interactions with the intelligent tutoring system are crucial to determine and, if necessary, modify the learning scenario. A properly designed user’s model influences the effectiveness of those methods and, in consequence, the whole learning process. This paper is devoted to propose a content of the student’s profile that includes behavioural measures.