The Telltale Data That Can Identify College Students at Risk
“Administrators at the University of Kansas knew they had a problem: Many of their most vulnerable students — largely low income and often the first in their families to go to college — were not graduating. The administrators needed to figure out why students like this were struggling. So they did something that those in higher education rarely do: They looked to a competitor for help. The University of Texas had used predictive analysis to identify students at risk and devised early interventions to help them succeed. Kansas started using the Texas techniques, and found that 1,200 of the 1,500 students who were headed for trouble had not received any intervention, and officials moved to fix it.”