A PSO weighted ensemble framework with SMOTE balancing for student dropout prediction in smart education systems

A PSO weighted ensemble framework with SMOTE balancing for student dropout prediction in smart education systems

Abstract Student dropout is a critical issue that affects not only educational institutions but also students’ mental well-being, career prospects, and long-term quality of life. The ability to predict dropout rates accurately enables timely interventions that can support students’ academic success...

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Bibliographic Details
Main Authors: Achin Jain, Arun Kumar Dubey, Shakir Khan, Arvind Panwar, Mohammad Alkhatib, Abdulaziz M Alshahrani
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Student dropout
Machine learning
Imbalanced learning
SMOTE
PSO
ACO
Online Access:https://doi.org/10.1038/s41598-025-97506-1
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