Student dropout
2 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization
From the recorded educational data, efficient prediction of students' dropout is currently a hot topic of research.
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
We also find that stacked ensembling provides no additional benefits to overall performance or fairness compared to either a local model or the zero-shot transfer procedure we tested.