Leveraging AI to Support Data-Empowered Learning

Wednesday, October 16 | 10:45AM–11:30AM CT | W196c, Level 1
Session Type: Breakout Session
Delivery Format: Moderated Discussion
In this session, we will explore early prototypes of AI applications and discuss challenges related to ethics and privacy in higher education IT. These prototypes leverage machine learning in a way that empowers content discovery, course design and assessment, reflective teaching practices, and predictive analytics.

Outcomes: Learn how AI will shape the future of teaching and learning* Discover new example of applied AI technologies * Learn about an effective data science pipeline for higher education IT * Reflect on the ethical and privacy challenges related to AI applications

This session was recorded as part of the EDUCAUSE Annual Conference 2019 and can be accessed by full conference attendees and those who register separately for access. Click here for more information.


  • Benjamin Hellar

    Team Lead for Learning Analytic Applications, The Pennsylvania State University
  • Bart Pursel

    Chief Technology Officer, Unizin, Ltd.
  • Drew Wham

    Data Scientist, The Pennsylvania State University

Resources & Downloads

  • Transcript

    172 KB, pdf - Updated on 11/21/2019
  • Recording

    Updated on 11/21/2019
  • Leveraging AI for Data Empowered Learning Slides

    Updated on 12/11/2019