Study of Learning Affective Recognition in Intelligent Affective Tutoring System

摘要

Emotion has been viewed as source of motivational energy, but the traditional intelligent tutoring system can't implement affective tutoring, in order to overcome this problem, this paper proposed the study of learning affective recognition, and built an intelligent affective tutoring system which can recognize the learning affect, so it can adjust teaching strategy according to the student's affective state. The system commences from the learning affective modelling, building up a four quadrant models that describe the link between study and affective state, and discusses the learning affective recognition and facial expression recognition. Affective recognition will take an important role in the ITS and achieve individual tutoring according to different students' learning affect and realizing humanoid solicitude and harmonious emotion interaction between human and machine.