Creating collaborative learning groups in intelligent tutoring systems

Abstract

Intelligent Tutoring Systems offer an attractive learning environment where learning process is adapted to students’ needs and preferences. More than 20 years of academic research demonstrates that learning in groups is more effective than learning individually. Therefore, it is motivating to work out procedure allowing a collaborative learning in Intelligent Tutoring Systems. In this paper original algorithm for creating collaborative learning groups is proposed. The research showed that students working in groups (generated by the proposed algorithm) achieved 18% better results than students working in randomly generated groups. It proves the effectiveness of the proposed algorithm and demonstrates that creating suitable learning groups is very important.