Better predict, measure and guide student performance
The answer was found within the Brightspace platform–specifically the Brightspace Student Success System
™–through a predictive analytics tool that would allow Georgia Southern to pull data gathered within the LMS to better predict, measure and guide student performance.
“We have excellent dashboards that reflect what has happened, but until the Brightspace Student Success System, we had little ability to be more proactive versus reactive,” says Dr. Burrell. “Brightspace allows us to identify with high accuracy what will happen as a course is underway, and predict a student’s final grade at the course midpoint. If a student is struggling in the course, the idea is that we can identify them and invoke some intervention on his/her behalf and help the student successfully complete the course.”
Student Analytics offer the ‘Secret Sauce’
Dr. Jonathan Hilpert, Associate Professor, Educational Psychology, Department of Curriculum Foundations and Reading piloted the Student Success System
within his Learning Theories course. “Some of my faculty colleagues were unconvinced of the usefulness of predictive analytics, fearing the standard error would be too large. I had a different mindset. Without further testing how could we know?”
Hilpert provided a baseline of data from five previous semesters to Burrell’s IT team, and together, they ran an analysis on the current course. By the time students were about 10 weeks into the course, the Brightspace Student Success System was predicting final performance with 70% accuracy.