A comparative study of WHO and WHEN prediction approaches for early identification of university students at dropout risk

Daniel A. Gutierrez Pachas,Germain Garcia-Zanabria,Alex J. Cuadros-Vargas,Guillermo Camara-Chavez,Jorge Poco,Erick Gomez-Nieto

2021 XLVII Latin American Computing Conference (CLEI)（2021）

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摘要

Reducing the students' dropout is one of the biggest challenges faced by educational institutions, especially in underdeveloped countries. Identification of the student with the highest risk of dropping out is generally used to apply corrective actions (WHO). Therefore, it is also important to determine WHEN a student will drop out, which is fundamental to planning preventive actions. In this work...

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关键词

Radio frequency,Measurement,Machine learning algorithms,Machine learning,Predictive models,Probabilistic logic,Hazards

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