Grouping Peers Based on Complementary Degree and Social Relationship using Genetic Algorithm

The aim of this article is to propose a new innovative grouping approach using the genetic algorithm (GA) to enhance the interaction and collaboration among peers by considering the complementary degree of students’ learning status and their social relationships. In order to validate our approach, experiments were designed with a group of students and the outcomes were tested with an e-Learning system. The auto-grouping mechanism is developed...