Cognitive Intelligent Tutoring System based on Affective State

This paper presents a novel Intelligent Tutoring System (ITS). The goal of our virtual tutor is to mimic like a human tutor in order to advance the communication and effectiveness of the students learning experience. Towards these goals we designed a Conversational Intelligent Tutoring System (CITS) with multimodal behavior, emotive speech and friendliness. Moreover to improve the student’s interaction and to engage their attention, our virtual tutor attempts to ask questions from their thought lesson and assists the students during learning activities. A statistical Friedman analysis was conducted and the results revealed that, our intelligent virtual tutoring system can able to successfully recognize student’s behavior and respond according to it. And also participants were asked later to rate the teaching and learning environment of our intelligent system, the review shows that they feel lively.