Algorithms and machine learning techniques in collaborative group formation

Abstract

Computer Supported Collaborative Learning (CSCL) is an emerging interdisciplinary research area that deals with the formation of students groups to work and to learn together in an educational context. One of the factors that affect successful collaborative learning is the group composition. This paper surveys the most relevant researches carried out in this field to date. For each one it describes the applied criterion to form learning groups and the way in which the grouping criterion is applied. These researches are compared and some conclusions are outlined.