Big Data on Campus
Kelli Bird, Yifeng Song, Benjamin Castleman, and Zachary Mabel, EducationNext
As colleges and universities face mounting pressure to raise completion rates, many are embracing predictive analytics as a way to identify which students are at risk of failing courses or dropping out. But how accurate are those predictions?
Data experts put six predictive models to the test.