Elaboración de un modelo basado en datos de los factores que inciden en la deserción estudiantil universitaria de la modalidad a distancia

Abstract

Abstract: A data-driven model for understanding college dropout in the distance mode is a valuable tool for addressing a problem that affects many students worldwide. The contribution of the model will enable educational institutions to better understand the causes of dropout and develop effective strategies to reduce it. By identifying the dimensions that influence dropout, processes and programs can be designed to address the specific factors that contribute to dropout. In addition, it will provide valuable information about students who are most at risk of dropping out, allowing institutions to take preventive measures to avoid attrition. Ultimately, it will be possible to understand university dropout in the distance modality and through the application of a tool based on a data model, it will allow improving the retention and performance of students by increasing their academic and professional success.