Webinar hosted by CSRDE- The Consortium for Student Retention Data Exchange.
Facilitated by: Steven A. Mauro of Gannon University.
With many academic institutions facing a diminishing applicant pool, efforts focused on retaining existing students have intensified. Using greater than fifty variables in the areas of engagement, academics, and financial status, we have developed a predictive model that drives student intervention efforts. Implementation of the model combined with specific actions derived from the data has greatly improved our ability to develop rapid and specific interventions tailored to each student. These efforts have contributed to an improvement of first-year retention of students at the institution by five percentage points, equivalent to millions of dollars of added revenue. At the conclusion of this webinar, participants will be able to 1) recognize common academic, engagement, and financial student persistence risk factors; 2) understand how different retention indicators can contribute to a predictive model; 3) apply a five component framework to utilize a retention predictive model to student interventions; 4) develop measurable outcomes associated with retention efforts.
This is a paid webinar- Advisor Training and Development will manage the virtual viewing for registrants.
Register via Eventbrite. Webinar link will be provided to attendees on the morning of the viewing.
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