Learner group formation using constraint optimization

Abstract

Learner group formation manually based on multiple criteria often fails due to its complexity and time limitations of practitioners. This paper presents a novel binary integer programming approach which models learner group formation problem based on Jigsaw Collaborative Learning Flow Pattern (CLFP) using constraint optimization techniques. Suggested approach supports adaptive collaboration and provides flexibility when reformulating learner groups.