Affective tutoring systems in a learning social network

Abstract

Knowledge societies also named learning social networks allow interaction and collaboration between individuals (instructors and students), who share their connections under a scheme of learning communities around common learning interest. In this paper, we present an affective tutoring system inside a knowledge society implemented in a learning social network. We have designed a new architecture for an entire system that includes the social network with an educational approach, and a set of intelligent tutoring systems for mathematics learning which analyse and evaluate cognitive and affective aspects of the learners. The intelligent tutoring systems were developed based on different theories, concepts and technologies. In this paper, we present an affective tutoring system embedded in a social network which is used to improve poor student results in ENLACE test (National Assessment of Academic Achievement in Schools in Mexico). We also present results when applying the tutoring system to a group of students.