Análisis clúster relacionado con el acceso a la educación virtual por parte de los profesores y estudiantes de la Unach

The National University of Chimborazo (UNACH) works with several informatics systems. One of them is the Academic Control System (SICOA). This study used the SICOA to collect data from two surveys regarding the accessibility of virtual education in 2019 considering that schools adopted virtual education because of the obligated lockdown during the Covid -19 pandemic. This work consisted of a cluster analysis focused on identifying homogenous groups in their conditions of accessibility to virtual education with the aim of assessing segmentation effectiveness. We compared not supervised K- means and K-medoids learning algorithms. The mining process was conducted through the CRISPP-DM methodology. This methodology allowed data analysis, cleaning, and building. The results suggested three homogenous groups of students and two homogeneous groups of teachers. The metric distance between cluster to centroid and Davies Bouldin determined that the highest accuracy was reached through K-means.

• 1. Verfasser: Tapia Estrada, Rosa Virginia (author)
• Format: bachelorThesis
• Sprache: spa
• Veröffentlicht: 2021
• Schlagworte: CLUSTERING; K-MEANS; ACCESIBILIDAD; EDUCACIÓN.
• Online Zugang: http://dspace.unach.edu.ec/handle/51000/7793