Implications
SECONDARY
Nowadays, there is increasing interest in the education sector in applying active methodologies that require collaborative work. The way groups are formed has historically been one of the weak points or points to improve, due to the fact that they have been made in a randomly on the one hand, or by affinity or friendship between the students or by the subjective criteria of the teacher. We therefore firmly believe that the contribution and implications of this article for the education sector can be:For teachers: grouping is a crucial element of new learning methodologies based on active learning that needs to be done correctly. The task is too complex or even impossible to perform manually or without a specific tool. Therefore, the algorithm developed in this research brings to the table a new way of being able to group learners in a fast and scientifically based way. Teachers only must select the attributes they want to take into account for a heterogeneous grouping, in this study we considered CHAEA or LML questionnaires, but our approach is flexible enough to permit other questionnaires or even other variables such as students marks or time availability. After gathering this information from the students, the teacher can use our code [For researchers: grouping is not a new topic in research but not completely solved. This article will provide another point of view on how to do it and a starting point for further research in other contexts and especially in other educational stages such as primary and secondary education, where there is a lot of interest in collaborative learning.For those interested: at a time of post pandemic, where they are questioning what kind of learning, what and how students can learn better from the experiences lived with confinements and forced online learning, it should help to show new tools that help teachers to do their work in a simpler and more rigorous way, but at the same time help to spread strategies that help the development of more meaningful and functional learning, such as those based on learning in a collaborative way. This article is intended as a basis or starting point for simple and more rigorous grouping of learners.