Building an Affective Model for Intelligent Tutoring Systems with Base on Teachers’ Expertise

Abstract

We are developing an affective behavior model for intelligent tutoring systems. This model provides students with a suitable response considering the knowledge and affective state of the student. The affective behavior model comprises two components: an affective student model and an affective tutor model. The affective student model is based on the OCC cognitive model of emotions. The main contribution of this work is the affective tutor model, which is built with base on the expertise of a group of teachers. For this end, we conducted a study to ask teachers how they deal with affective aspects when they are teaching; and we used the results of the study to refine our model. The affective behavior model relies on dynamic Bayesian networks and dynamic decision networks. In this paper, we present the affective behavior model built based on the teachers' responses. its application to a robotics tutor and an evaluation with a Wizard of Oz Study.