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Student Success Beyond the First Year

Broadcast : 
Thu, 03/09/2017
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Often, student success efforts are focused primarily on retaining first year students, but fail to continue supporting students throughout their college careers. At the University of North Carolina-Greensboro, the institution’s leadership wanted to take a broader approach to student success by developing a predictive model that would include upperclassmen.

Attend this web seminar to learn about the collaborative approach UNC-Greensboro took in developing a full retention predictive model, which now provides the probability of retention for freshmen, sophomores and juniors as well as incoming freshmen, and some best practices for using predictive analytics to support student success at any institution.

Topics will include:

  • An introduction to predictive modeling
  • Best practices for data preparation
  • How to apply predictive modeling results to positively affect retention efforts

Scheduled speakers
Bryan Terry

Vice Chancellor for Enrollment Management
University of North Carolina-Greensboro

Jeffrey Collis
Data Manager
University of North Carolina-Greensboro

Jon MacMillan
Senior Data Analyst
Rapid Insight, Inc.

Who will benefit:  Higher ed administrators interested in student success, retention or analytics. Anyone may attend.

Sponsored by: