Designing and Implementing Affective and Intelligent Tutoring Systems in a Learning Social Network

Abstract

In this paper we present step by step the design and implementation of affective tutoring systems inside a learning social network using soft computing technologies. We have designed a new architecture for an entire system that includes a new social network with an educational approach, and a set of intelligent tutoring systems for mathematics learning which analyze and evaluate cognitive and affective aspects of the learners. Moreover, our intelligent tutoring systems were developed based on different theories, concepts and technologies such as Knowledge Space Theory for the domain module, an overlay model for the student module, ACT-R Theory of Cognition and fuzzy logic for the tutoring module, Kohonen neural networks for emotion recognition and decision theory to help students achieve positive affective states. We present preliminary results with one group of students using the software system.