Objectives and hypotheses
The present study aims to create and develop an automatic heterogeneous group creation tool based on complex networks and entropy measurements, and to evaluate its performance for creating heterogeneous groups in cooperative learning.More specifically, in this study the hypotheses are:H1: The automatically created groups will obtain better learning performances than the randomized groups.
H1a: the automatically created groups based on CHAEA obtain better learning performances than the randomized groups.H1b: the automatically created groups based on LML obtain better learning performances than the randomized groups.