Mapeamento Sistemático na Literatura Acadêmico-Científica sobre Abordagens para Formação de Grupos em E-Learning

Abstract

This work presents the results of a systematic mapping on scientific papers that discuss the group formation for collaborative learning. The aim is to investigate researches associated with approaches and strategies to form group, in the context of E-Learning domains. Our mapping shows that the majority of publications are focused on analyzing the context of students interactions, along collaborative E-learning activities, and use the acquired knowledge to improve the algorithms for groups optimization. Group types were specified for further experiment in homogeneous grouping, heterogeneous grouping and complementary for programming skills from mathematical modeling and implementation of algorithm grouping. The results of this work produce theoretical fundaments to support the investigation of new group formation approaches, which are based on group profiles and associated with criteria and preferences that were not explored yet. Furthermore, the results enable a more precise analysis of interactions and impact of collaboration on the efficiency of e-learning students.