Predictive Analytics: A Case Study in Improving Student Success

Wednesday, October 16 | 4:40PM–5:30PM | Meeting Room 211A/B
Session Type: Professional Development
Learn how the University of Maryland University College is improving student success rates by leveraging predictive analytics to identify at-risk students and providing relevant interventions. UMUC partnered with Civitas Learning to use data analytics to help understand the risk factors that impact students and to administer appropriate interventions.

OUTCOMES:
Realize that analytics is both a technical and organizational initiative. | Learn how to leverage big data technologies to improve student outcomes. | Gain insight into the technical, logistical, and cultural considerations for work in predictive analytics.

Presenters

  • DARREN Catalano

    Chief Executive Officer, HelioCampus

  • Marie Cini

    Provost and Senior Vice President for Academic Affairs, University of Maryland Global Campus

  • Laura Malcolm

    Vice President of Product, Civitas Learning Inc.

Resources & Downloads

Predictive Analytics Case Study
494 KB, PDF
Uploaded on 10/22/2013