T. Colanzi

Academic Dropout Prediction Using Large-Scale Static Institutional Data: A Multi-Scenario Machine Learning Study

Academic dropout is costly for students and institutions, and support actions are most effective early, when little information beyond enrollment records is available. However, the most informative predictors are derived from academic trajectory data, such as grades and course progression, which only become available a...