Using Artificial Intelligence to Boost Student Retention Rates

Universities are also using predictive analytics to identify students that might struggle socially or academically during the first year. TIMES reports that Georgia State has analyzed 2.5 million grades of former students to find out what may cause a student to fail in their studies. The university developed an early warning system that triggers alerts when students are struggling, so they can be helped before they fail. Georgia State discovered from their data that how students fare in the first course in their majors can predict whether or not they will graduate. For instance, 85% of political science majors who get an A or B end up earning degrees, but only 25% of those who score a C or lower will graduate.