Supporting Decision-Making Process on Higher Education Dropout by Analyzing Academic, Socioeconomic, and Equity Factors through Machine Learning and Survival Analysis Methods in the Latin American Context

Supporting Decision-Making Process on Higher Education Dropout by Analyzing Academic, Socioeconomic, and Equity Factors through Machine Learning and Survival Analysis Methods in the Latin American Context

The prediction of university dropout is a complex problem, given the number and diversity of variables involved. Therefore, different strategies are applied to understand this educational phenomenon, although the most outstanding derive from the joint application of statistical approaches and comput...

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Bibliographic Details
Main Authors: Daniel A. Gutierrez-Pachas, Germain Garcia-Zanabria, Ernesto Cuadros-Vargas, Guillermo Camara-Chavez, Erick Gomez-Nieto
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Education Sciences
Subjects:
student dropout prediction
machine learning models
survival analysis
Online Access:https://www.mdpi.com/2227-7102/13/2/154

Internet

https://www.mdpi.com/2227-7102/13/2/154

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