MECG_BaseDadesAnonim.csv

Dataset to test our algorithm to form automatically heterogeneous collaborative groupings (MECG, see Minimum Entropy Collaborative Groupings: A tool for an automatic heterogeneous learning group formation). <br> The dataset consists in 200 students from two specific subjects (Societat, Innovació) from a master's degree in teacher training. For both subjects, students have to present several teamwork projects; all the groups remain fixed throughout the academic year. The students first answered both a CHAEA and a LML questionnaires. Then with this information we used our approach to split the students into 4 member group; some were grouped with MECG and others were randomly grouped as a control group (RG). <br> Performance is observed from 6 scale: Effectiveness, Entitativity, Uncertainty, Interrelationship, Maturity and Potency.