Análisis de los usos de la tecnología en los estudiantes de la Universidad de Especialidades Turísticas

Abstract

This research is based on a survey applied to the students of the University of Touristic Specialties, which seeks to determine the students' use of the Internet in relation to academic and entertainment activities and to determine if the level of Income from the families from which they come, affects the use of technology. The research seeks to answer four hypotheses and to comply with its verification, predictive mining techniques were applied as binomial and multinomial logistic regression. To obtain the grouping of homogeneous students with common characteristics in terms of Internet use, it is done through the KDD (Knowledge Discovery in Databases) knowledge extraction process and its data mining techniques such as cluster and discriminant analysis; Results that finally show that the level of income does not affect the use of the Internet for academic and entertainment activities. It is also possible to determine that academic performance is not influenced by the use of the Internet.