This research work aims to raise awareness of the results of the student engagement in university students of three careers in technologies, of a university in the south of Mexico, through the development of graphics that allows displaying in an adequate manner the cases under study, facilitating the interpretation of the same. To measure the student engagement was used the instrument Utrecht Work Engagement Scale for Students (UWES-S), which is composed of the dimensions, vigor, dedication and absorption. Graphs presented in this work are a graphics array correlation, a graphical representation of radial and a chart GGE bi plot. It was observed that the student engagement is in general, for this population sample, average level, identifying as predominant the dimension of dedication.

The objective of this work is to express patterns of data behavior related to the psychological connection of the university students with their studies, this through the association rules, likewise these rules are presented in an interactive visual way, which facilitates the review of these to select those that are considered of interest. For this study, students of four careers in technologies from a university in southern Mexico were considered. To measure the psychological engagement with the studies, the Utretch Work Engagement Scale for Students instrument (UWES-S) was used, other elements were included to know opinions related to careers. The learning algorithm of association rules A priori was used. For the generation and interactive visualization of the association rules, the Apriori algorithm was used in the R language. It is concluded that the interactive visual display is an important support for the selection of the rules that are considered relevant.

El objetivo de esta investigación consiste en realizar una comparativa de las diferencias según el género en los estilos de aprendizaje en estudiantes de la Licenciatura en Administración, para ello se realizó un estudio de tipo descriptivo, la muestra estaba compuesta por 97 estudiantes de nuevo ingreso de los cuales 56 son femenino y 41 masculino, a los cuales se les aplicó el inventario de Estilos de Aprendizaje y Orientación Motivacional (EDAOM). Los resultados obtenidos indican que no hay una diferencia significativa entre los estilos de aprendizaje y el género, sin embargo, en cuanto al rendimiento observado por género si se observan diferencias.

This research aims to identify the learning strategies employed by university students; and represent them through graphic techniques of multivariate analysis. The sample consisted of 30 students from the Multidisciplinary Academic Division of the Rivers; of the degrees in Administration and Administrative Computing of the generational cohorts 2010, 2011 and 2012. The instrument used is the Inventory of Strategies of Learning and Motivational Orientation (EDAOM) this instrument consists of a self-assessment that the student makes on the learning strategies that employs. For the implementation of the visual techniques was used the Language R, with these techniques were represented individually to the students with their respective learning strategies. The results show the interaction of the students with the learning strategies and the academic performance, visualization that the students of the Degree in Administrative Computing obtain the lowest values in the strategies of performance and academic performance.

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