Emotions recognition in an intelligent elearning environment |
| |
| Authors: | Thouraya Daouas Hanen Lejmi |
| |
| Institution: | 1. Laboratory EcStra, Institute of Higher Commercial Studies of Carthage, IHEC, Tunisiathouraya.daouas@ihec.rnu.tn;3. Computer Sciences applied to management department, Higher Institute of Management of Tunis, ISG, Tunisia |
| |
| Abstract: | ABSTRACTFor the purpose of improving the quality in Elearning process and overcoming the limitations of the current online educational environments, we propose to take into consideration the emotional states of students during Elearning sessions. Our objective is to ensure the ability of emotional intelligence: Emotion Recognition, in an eLearning environment. Thus, we present an architecture of Emotionally Intelligent Elearning System (EIES). Within the development of a computational probabilistic model of emotions, we proposed a Bayesian Network (BN) model to deal with emotions in Elearning environments and handle the uncertain nature of emotion recognition process. In a second phase, we focus on the incorporation of the emotion recognition in the Elearning systems by developing a simulation of EIES based on the BN model, able to predict the students’ affects. Consequently, we reached positive and promising results related to the fact that simulated EIES based on the BN model of emotions predicts correctly the student’s emotion when an event occurs during an Elearning session. |
| |
| Keywords: | Bayesian Network Elearning emotional intelligence emotion recognition machine learning |
|
|
