A Real-Life Machine Learning Experience for Predicting University Dropout at Different Stages Using Academic Data

A Real-Life Machine Learning Experience for Predicting University Dropout at Different Stages Using Academic Data

High levels of school dropout are a major burden on the educational and professional development of a country’s inhabitants. A country’s prosperity depends, among other factors, on its ability to produce higher education graduates capable of moving a country forward. To allevia...

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Bibliographic Details
Main Authors: Antonio Jesus Fernandez-Garcia, Juan Carlos Preciado, Fran Melchor, Roberto Rodriguez-Echeverria, Jose Maria Conejero, Fernando Sanchez-Figueroa
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Machine learning
feature engineering
instance engineering
ensemble models
real experiences
student dropout
Online Access:https://ieeexplore.ieee.org/document/9548895/

Internet

https://ieeexplore.ieee.org/document/9548895/

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