A new dynamic approach for grouping learners using a genetic algorithm in social collaborative learning environments [Articol]

Abstract

Social media and social networking have spread widely in everyday life, so it is important to use them in collaborative learning. Forming appropriate learning groups is, therefore, an important objective. This paper presents a novel approach based on a Genetic Algorithm (GA) for dynamic learners grouping in a Social Network Learning system (SNL). It offers some improved attributes applied for grouping learners and new genetic operators applied in the GA. The efficiency of the proposed approach was evaluated by comparing the groups formed using the proposed GA with randomly formed groups, resulting in the conclusion that the proposed GA is more effective and that the groups formed are more efficient.