Multivariate Analysis of University Student Engagement through Visualization Techniques

Abstract

The objective of this work is to apply visualization techniques for the representation of multivariate analysis results. The techniques were used to publicize the results of student engagement at universities of careers in technology at a university in the south of México. To measure student engagement, the UWES-S instrument was used, composed of vigor, dedication and absorption dimensions. The graphs presented in this paper are: Graphics Matrices, GGE Biplot and Chernoff faces, which were developed with the R language. It concludes on the utility that visualization techniques have in the multivariate analysis, given that in this it is studio was able to identify how students interact (genotypes) with the environment (variables of student engagement), identifying that the majority presents a stable level of student engagement. With the Chernoff faces, it was possible to visualize through the facial features in detail the presence of student engagement as a result medium level.