Risk Analytics for Student Success: Identification and Intervention

What if we could identify and intervene with the most at-risk students within the first four weeks of the semester? This presentation will focus on the risk analytics model we developed, the technology used to build and test it, and the advising strategies developed to intervene with identified students.

Outcomes: Learn how to apply our methods and analyses to your own persistence/retention and completion/graduation modeling initiatives and programs * Appraise your models and interventions in relation to our results * Explore how to replicate our methodologies at your own institution