A Discrete Particle Swarm Optimization Approach to Compose Heterogeneous Learning Groups

摘要: Collaborative learning is an educational strategy which popularly used in project-based courses schools and colleges. The diversity of group members frequently considered to be a crucial criterion that can promote intensive intra-group interaction successful outcomes. Yet, when the number students up several hundreds, it challenging for instructors look optimal formation considering maximal every group. To address this problem, paper presents discrete particle swarm optimization approach compose heterogeneous groups. We carried out simulations based on optimizing heterogeneity gender personality type. experimental results show proposed effective stable method support collaborative