Skip Ribbon Commands
Skip to main content
SharePoint
Navigate Up

Skip Navigation LinksARC-Using-Predictive-Modeling-to-Drive-Early-Alert-and-Intrusive-Advising

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.​​​

​​Summary

​​Final report (part one)

Final Report (part two)