The Science of Predictive Analytics in Education

Wednesday, October 28 | 12:40PM–1:30PM | Wabash Ballroom 3
Session Type: Professional Development
Key innovations for improving student retention are being driven through predictive modeling. In this session, we will discuss how universities and colleges working with Dell developed student-retention models, KPIs, data dashboards, and mobile alerts that quickly identify at-risk students and deliver the information to key stakeholders, allowing early intervention to increase student performance outcomes.

OUTCOMES: Gain an understanding of modern predictive analytics capabilities * Learn best practices leveraging your current data and existing information architecture * Understand how advanced analytics is already helping forward-thinking universities gain better insight into the various factors that predict future student enrollment, retention and success


  • Patrick Bauer

  • Vince Kellen

    Chief Information Officer (CIO), University of California San Diego
  • Jon Phillips

    Education Industry Futurist, Dell Technologies