Patterns to Identify Dropout University Students with EducationalData Mining

• Huvudskapare: Argelia Berenice Urbina-Nájera (Författare, medförfattare), Arturo Téllez-Velázquez (Författare, medförfattare), Raúl Cruz Barbosa (Författare, medförfattare)
• Materialtyp: Bok
• Publicerad: Universidad Autónoma de Baja California, 2021-12-01T00:00:00Z.
• Ämnen: article
• Länkar: Connect to this object online.

This paper applies educational data mining algorithms to present an analysis of the most relevant characteristics of potential dropout students. The study used a dataset of 10,635 instances, acquired between 2014 and 2019 from 53 bachelor's degree programs at a private university in the state o...