Abstract:

The aim of this paper is to put forward a new model for emotional interaction that uses learning and cognitive styles and student emotional state to adapt the user interface, learning content and context.

The model is based on a constructivist approach, assessing the user knowledge and presenting contents and activities adapted to the emotional characteristics, learning and cognitive styles of the student. The intelligent behavior of such platform depends on the existence of a description of the characteristics of the student– the student model. The contents of this model and emotional state of the student is used by a domain and interaction model to select the most appropriate response to student actions.

The current work aimed to near the gap between a student and his learning platform in order to improve efficiency of the learning process, this lead to propose a new approach for an adaptive learning system. This model will try to capture the emotional state of the student and together with his learning style and cognitive profile, will adapt the learning context to the learning requirements of the student.

Our research is based on the principal that emotion can influence several aspects of our lives. Emotion affects the decision process and knowledge acquisition of an individual. Therefore, they directly influence our perception, learning process, the way we communicate, and the way we make rational decisions. Our research goal is to see that if a learning platform takes into account the emotional profile of a student, can produce better learning results than a learning platform with no emotional interaction. A prototype was developed to test our assumption. This prototype takes into account the student’s personality, learning style and the emotional profile.

Keywords:

Learning Styles, Adaptive Systems, Affective Computing.