Citas bibligráficas
Salazar, L., (2022). Categorización a estudiantes universitarios en niveles de riesgo de deserción en base al algoritmo de aprendizaje no supervisado basado en densidad [Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/5264
Salazar, L., Categorización a estudiantes universitarios en niveles de riesgo de deserción en base al algoritmo de aprendizaje no supervisado basado en densidad []. PE: Universidad Nacional de San Martín. Fondo Editorial; 2022. http://hdl.handle.net/11458/5264
@misc{renati/1059635,
title = "Categorización a estudiantes universitarios en niveles de riesgo de deserción en base al algoritmo de aprendizaje no supervisado basado en densidad",
author = "Salazar Ramirez, Luis Gerardo",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2022"
}
Higher education stage is a process that exposes students to prolonged physical and mental stress, as well as self-demanding in order to overcome the challenges of a university career. These stimuli, over a prolonged period, affect both physical and mental health and stability. Such attrition exposes students to a certain risk of dropping out, which subsequently proves to be crucial in the achievement or completion of their studies. The objective of this study was to categorize the students of the National University of San Martín according to their dropout risk. An applied and descriptive study was conducted under a non-experimental design, using a sample of 670 students who were provided with a set of questions through a chatbot interface on a web platform. Their responses were then organized into a data table in a portable file and preprocessed through a set of cleaning and normalization techniques in order to be subsequently subjected to the DBSCAN algorithm. After this procedure, the results were resized for visualization through PCA, as well as subjected to validation techniques, through cluster projection in the point cloud and Silhouette coefficient analysis. As a result, 5 clusters were obtained, with a Silhouette coefficient of 0.478, being finally labeled and hierarchized with the help of an expert. In conclusion, it was possible to successfully categorize the students of the National University of San Martín according to the risk of desertion.
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