2 papers
cs.LG2026
When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction
Tyler Crosse, Alan Nadelsticher Ruvalcaba, Dustin Khang LeDuc +3
Different predictors often excel on different inputs, so picking the best one per instance promises higher accuracy than committing to a single model. In practice, selectors traine…
cs.CY2024
A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
Thomas Trask, Nicholas Lytle, Michael Boyle +2
As online courses become the norm in the higher-education landscape, investigations into student performance between students who take online vs on-campus versions of classes becom…