ELI Webinar: Predictive Analytics, Choice Architecture and Bespoke Education

Abstract

August 15, 2016 (1-2pm ET) - Registration 

This presentation will discuss how predictive analytics, data-mining technology, and behavioral economics research can combine to create strategic insights into the structure of systems of higher education. Participants will understand how data-analysis and research can provide information about higher education; will understand how these insights can be used to enact policy change and student success initiatives; and will explore potentially fruitful avenues for future higher education transformation. 

Learning Objectives:

  1. Demonstrate how data-analysis and research can provide information about higher education.
  2. Demonstrate how these insights can be used to enact policy change and student success initiatives.
  3. Explore potentially fruitful avenues for future higher education transformation.

 

 

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