This article is part two of a two-part series to help your institution bounce back from the disruption of COVID-19.
A hands-on approach to predictive analytics provides both the data and support for solutions.
Following up with our previous post, Six Steps to At-Risk Student Intervention: A University Case Study, found improved student retention post university int
Predictive Analytics in a World of Choices
As higher education continues to leverage student data and make predictions as to whether students will enroll, be retained, and graduate, the inevitable question that comes up is … why do students behave the way they do?
SightLine has discovered through focused research that, on average, twice as many students leave their degrees during summer break than during winter break. Is this exodus a result of the temporal difference between the two vacations?