Visual Association Rules on the Psychological Connection of University Students with their Studies

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.