Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review

Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review

School dropout in higher education remains a significant global challenge with profound socioeconomic consequences. To address this complex issue, educational institutions increasingly rely on business intelligence (BI) and related predictive analytics, such as machine learning and data mining techn...

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Main Authors: Diana-Margarita Córdova-Esparza, Juan Terven, Julio-Alejandro Romero-González, Karen-Edith Córdova-Esparza, Rocio-Edith López-Martínez, Teresa García-Ramírez, Ricardo Chaparro-Sánchez
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Information
Subjects:
business intelligence
school dropout
machine learning
Online Access:https://www.mdpi.com/2078-2489/16/4/326
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