Emotional Regulation Modeling in an E-learning System

Researchers in neurosciences and psychology have found that emotions are widely related to cognition, they exert influences in various behavioral and cognitive process, such as attention, long-term memorizing, decision-making, etc. In this paper, a virtual teacher is established to perform as a real teacher to timely regulate the students´ negative emotion, so that a more effective learning context can be available to build a more harmonious instruction environment. An emotional regulation model which is made up of emotion´s feedback based on personality and behavior tactics adopted Q learning algorithm is constructed to acquire an emotional communication between the virtual teacher and student.