Formation of Groups for Collaborative Learning: An Approach Based on Profiles of Individual Self-Reports

Abstract

Forming collaborative learning groups without criteria generates problems such as disproportionate participation of individuals, demotivation and resistance to group work. Given this context, this work uses correlation and linear regression in helping to form groups for collaborative learning contexts. The research articulates, in addition to Statistics, knowledge in the areas of Positive Psychology and Collaboration Theories. From the analysis of the obtained results, through realized experiments, it is possible to form more effective groups for processes of collaborative learning, when one takes into account profiles of positive self-reports of the individuals.