A Platform for Early Class Dropout Prediction of University Students

A Platform for Early Class Dropout Prediction of University Students

Higher education faces significant challenges, with student dropout rates remaining a critical issue. While much research has focused on course-level dropout, less attention has been given to the early identification of at-risk students within individual courses. In this context, this study reviews...

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Bibliographic Details
Main Authors: Guilherme Antonio Borges, Carolina Filipa Dos Santos Pedro, Julio Cesar Santos Dos Anjos, Andre Rodrigues, Fernando Boavida, Jorge Sa Silva
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Student dropout
machine learning
support platform
real world-data
early intervention
higher education
Online Access:https://ieeexplore.ieee.org/document/11045350/
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https://ieeexplore.ieee.org/document/11045350/

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