Modeling Learner´s Emotions with PAD

Emotions have a direct influence on an individual´s physical and cognitive behaviour, as well as their performance, a student with a positive emotional state will learn and perform better. This paper presents an agent framework that addresses the relationship between user´s state of emotion during learning and the modification of learning pace and feedback-type in a virtual environment for learning effectiveness. The technique exploits the structure of emotion-evaluation from user´s current interaction to dynamically regulate learning pace within a Virtual Learning Enviornment (VLE) via a proposed Emotion Regulation Agent (ERA) system to derive meaningful emotion information from user´s interactions based on a simplified version of the Pleasure, Arousal and Dominance (PAD) emotion model. This information then regulates learning by adjusting the type of task and learning information to promote a beneficial and sustainable learning experience by optimizing learning emotion.