Design and Implementation of the Emotional Pedagogical Agent

Traditional intelligent CAI (computer aided instruction) pays less attention to emotional cognition. To address this problem, an emotional pedagogical system based on artificial psychology and Agent theories is presented. Student´s emotion is considered as one of the secondary index in two-layer fuzzy comprehensive assessment model to assess study effect. Inference engine outputs the final teaching strategies and teaching suggestions by making reference to the assessment results. Agent achieves teaching goal not only according as cognitive factors but also by perceiving and adapting to student´s psychological state. Pedagogical system based on a double source of emotion and cognition mechanism during assessment and interaction is built to simulate the ¿man-to-man¿ classroom´s teaching.