Synthetic classrooms
We generate 15 random classrooms of different sizes (5 of 20 students, 5 of 30 students and 5 of 50 students), in which students have been generated following a normal distribution, given the mean and standard deviation of learning styles/patterns of both the questionnaire CHAEA [For each generated classroom, we search for the optimal partition of students into groups using our approach MECG; and, for each size, we compute the mean of the entropies of each optimal partition of the 5 classrooms. We consider as size groups the 3-member groups and 4-member groups, separately.Analogously, we repeat the process with two other approaches for comparison: (i) grouping the students randomly; (ii) the genetic algorithm. The former is computationally simple, but for the latter we elaborated an algorithm based on the work by Moreno et al. [