Contents 1. Introduction
Lately emotions have received considerable attention from several researchers especially in the computer science domain. In fact, human beings use emotions to communicate. In addition, Nass and Reeves claimed that emotions are widely related to communication and social activities, and that human beings interact with computers in an emotional way [13]. Indeed, emotions are also important in cognitive processes. For instance, Damasio has proved the influence of emotions on reasoning, memorising, learning and decision making processes [5]. Moreover, Bower and Cohen have discovered that memory retrieval and learning are mood-congruent [1]. Based on these claims, an Intelligent Tutoring System (ITS) should use emotions to establish good interaction with the user, help the learner for integrating knowledge more easily, monitor and induce the learner's emotions to an optimal degree in order to keep attention and increase performance. In this study, we are interested in predicting the learner's emotion after the tutor's feedback in a distance learning experience. Feedback is an important component of ITS, as it is an important part of human communication. It helps us to know whether we are doing things well and also what we need to improve or look for.
