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Using Predictive Modeling to Drive Early Alert and Intrusive Advising


​​​Using Predictive Modeling to Drive Early Alert and Intrusive AdvisingLead Researchers: Tim Fricker and Wayne Poirier 

This project includes two phases. The first phase evaluates the ability of a predictive model to identify students at-risk of leaving college early, and examines the extent to which there are patterns of advising participation rates and retention rates associated with a student's risk-level classification. The second phase of the project develops and tests the effectiveness of an academic advising intervention compared to the risk categories created by data from the predictive model. ​

Materials and Outcomes

Throughout the course of this project, updates and final reports will be posted here.​​​

​​​​Final report (part one)

Final Report (part two)