Presented by Jeffrey Collis, Data Manager at the University of North Carolina-Greensboro, and Jon MacMillan, Senior Data Analyst at Rapid Insight
Often, the focus with student success is around retaining first year students. UNCG wanted to take a broader approach to student success by expanding their retention efforts to include upperclassmen. In this presentation, Jeffrey Collis, Data Manager at University of North Carolina-Greensboro and Jon MacMillan, Senior Data Analyst at Rapid Insight, talk about the collaborative effort they used in developing a full retention predictive model with Veera Predict. The model that has been developed provides the probability of retention for Freshman, Sophomores and Juniors as well as incoming freshmen.
Learning points of the video
-Intro to predictive modeling
-Best practices for data preparation
-How to apply the modeling results to positively affect retention efforts