Driving Student Success with Predictive Analytics
Concurrent Session 2
Discover the power of predictive analytics! Learn how FIU Online has increased student success rates in critical courses by implementing predictive analytics using the capabilities of Alteryx, R-statistical programming and Tableau.
Committed to student success and graduation, FIU Online presents Project PATT - Predict & Achieve Through Targeting. FIU Online has piloted our first predictive analytics initiative using a neural network model focused on improving success rates for fully online students. Our predictive model has been trained using enrollment data, such as semester enrollment load, enrollment history, and student performance within university core curriculum courses and gateway (critical) courses. The ultimate goal is to increase student pass rates by being proactive and predicting a student’s probability of success within their online course. Based on the results of our analysis, students are assigned a success score and a risk level classification at the moment of enrollment. This facilitates immediate, early intervention by our Student Success team. The team then develops a target communication plan, tailored to provide students with the support they need to achieve success.