Estudio de un proceso de aprendizaje en ciencias experimentales a partir de la Teoría del Caos

Abstract

The objective of this research is to demonstrate that emotional transformation, connectivity, and entropy is essential for collaborative learning. Behaviors belonging to the emotional domain, inquiry domain, persuasion domain, and information usage domain were observed in student teams performing physical science experiments. These behaviors were transformed into time series to which the Chaos theory was applied. The results obtained were numerical indicators that linked student learning, performance, and relationship link quality to the transformation of student emotions. The modeling of the time series with the Lorenz equations provided the connectivity per team. This was combined with the emotions to characterize learning dynamics. The correlation entropy of time series calculation results in complexity and in sustainability of the learning process revealing its connection with ecosystems.