The Machine Learning-Based Dropout Early Warning System for Improving the Performance of Dropout Prediction

The Machine Learning-Based Dropout Early Warning System for Improving the Performance of Dropout Prediction

A dropout early warning system enables schools to preemptively identify students who are at risk of dropping out of school, to promptly react to them, and eventually to help potential dropout students to continue their learning for a better future. However, the inherent class imbalance between dropo...

Full description

Bibliographic Details
Main Authors: Sunbok Lee, Jae Young Chung
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
dropout
machine learning
big data
class-imbalance
oversampling
ensemble
Online Access:https://www.mdpi.com/2076-3417/9/15/3093

Internet

https://www.mdpi.com/2076-3417/9/15/3093

Similar Items