Demystifying AI and Predictive Analytics in Higher Ed

Wednesday, October 31 | 9:45AM–10:30AM MT | Mile High Ballroom 2A/3A, Ballroom Level
Session Type: Breakout Session
Delivery Format: Interactive Presentation
Artificial intelligence and predictive analytics are hot topics in academic technology. What advances are being made, and how can we distinguish the real benefits from hype? What are the ethical, legal, and practical issues? This panel convenes experts from higher education, industry, and academia to discuss best practices and insights.

Outcomes: Identify major short- and long-term benefits from AI and predictive analytics * Form a position in relation to ethical issues related to deploying these technologies * Evaluate the importance and relevance of these issues to your own context


  • Kim Arnold

    Director, Learning Analytics Center of Excellence, University of Wisconsin-Madison
  • Phil Long

    Senior Scholar - CNDLS, Georgetown University
  • Iris Palmer

    Senior Policy Analyst, New America
  • John Whitmer

    Senior Fellow, Federation of American Scientists

Resources & Downloads

  • Demystifying AI Predictive Analytics Educause 2018 Panel Session

    Updated on 11/26/2019