Using data to break down success misconceptions

By Kylie Lacey. A predictive analytics system is being used  at Georgia State University to identify students who are at risk for dropping out. This robust system tracks every student on 700 triggers, and alerts administrators when a student is in need of one-on-one intervention.
“We wanted to get rid of gaps in races, ethnicities and income levels and to even the playing field,” says Timothy Renick, VP for Enrollment Management and Student Success and vice provost. More...