Study of the use of technologies in university students using the K-means technique.

Abstract

The objective of this work was to apply data mining techniques to identify behavioral patterns related to the use of technologies in undergraduate students from data previously collected from a public university in southeastern Mexico. This project was developed with a quantitative approach to guide the stages of the study, and the clustering model was analyzed with the K-means algorithm, using the Orange tool. From the results obtained, three clusters made by the algorithm stand out according to the age of the students. With this, it is concluded that there is a general pattern related to pedagogical factors in young people from 20 to 25 years old that interferes in their process of appropriation of technologies.