An Affective Intelligent Tutoring System Based on Artificial Psychology

This paper proposes a general solution to an affective intelligent tutoring system. According to artificial psychology theory, it maps the student\´s emotional state by means of data gathered from the student\´s self-assessment based on an emotion map. Then a two-dimensional emotional psychology model and a reaction strategy model adopting multi-tier reasoning rules are constructed to detect, analyze and evaluate the student\´s emotional state. This considers not only the state of the student\´s knowledge but also his cognitive and emotional state, so that a more intelligent teaching process can be devised, with an emphasis upon interactive "man-to-man" instruction