Event-Aligned Learning Analytics for Instructor Priority Review: Preceding Performance Signals and Task-Progression Interruption in a Large-Scale Online Course
This study demonstrates that analyzing interpretable within-task performance signals preceding task-progression interruptions in large-scale online courses enables instructors to prioritize resource-constrained reviews at critical transition points, effectively identifying over half of subsequent student interruptions by focusing on a small fraction of the at-risk population.