Aplicación móvil para diagnosticar los factores de deserción estudiantil en la universidad de pamplona a través de métodos de recuperación de información y nuevas tecnologías.

Abstract

The purpose of this work was to develop a mobile application to diagnose Factors Dropout Student At University Of Pamplona Through Methods Information Retrieval and New Technologies, which provides the functionality required to detect factors dropout most influential in the faculties of the University of Pamplona. For this purpose, the project was divided into two stages, the first implements the Vector method used in information retrieval in order to create a modeling student of University Of Pamplona, which associated with some factors dropout profile. This modeling is built based on the information provided by the Office of Planning of the University of Pamplona and registered in the system for Dropout Prevention in Higher Education Institutions (SPADIES). From this, you can know which factors affect students dropping out. The second step was to analyze the existing mobile platforms and technologies that could help us develop the application, to subsequently make decisions in this regard. Finally, the result we have obtained mobile application has been able to perform satisfactorily, the task for which it was designed.