A Computational Model for Managing Emotions and Affections in Emotional Learning Platforms and Learning Experience in Emotional Computing Context

In this paper we propose a model to represent and manage affective / emotional feedback. This model represents a set of emotions which is assumed to play a major role for learning processes. The emotions are to be identified during the learning phase. To achieve these objectives, we have considered primarily: i) Methods and techniques to assess and identify affectivity/ emotivity in ITS (Intelligent Tutoring System), ii) Feedback management derived by the detection of user's affective states in ITS. Our objective is to establish a methodology through the steps that lead us to 'identification and quantification of the emotional state of a learner. © 2012 Crown Copyright.