Análisis de los usos de la tecnología en los estudiantes de la Universidad de las Américas (UDLA).

Abstract

The present research has been developed under the KDD knowledge extraction process, using data mining techniques to obtain groups of homogeneous students with similar characteristics of Internet use. To obtain models of predictive data mining, binomial logistic regression was used. The data sets were obtained through a survey at the University of the Americas. Four hypotheses were proposed to verify the incidence of the level of economic income and the use of technology in the academic performance of students. The topics addressed in each chapter are briefly described: Chapter I: introduction on the motivation and scope of the project, as well as the objectives, the research questions and the hypotheses to be tested. Chapter II: in the theoretical framework are described among other topics, use of the Internet, income and uses of technology, academic performance. Chapter III: the methodology for the extraction of KDD knowledge was used in the methodology. Chapter IV: presentation and interpretation of the results, as well as the verification of the statistical model.