Georgia State University has used predictive analytics to increase its graduation rates for undergraduate students.
The school has identified 800 risk factors and tracks students using those data points. For example, if a student fails a quiz or registers for the wrong course, an adviser steps in and helps him out. The system has helped more students graduate in less time.
Now, the university plans to develop a similar system to help more GSU law school students pass the bar exam. The university will analyze factors like grades, classes students take and whether students participated in clinics or had jobs while in school.
Administrators will determine which variables correlate to passing the bar. The results could lead to curriculum and program changes aimed at helping more students pass.