Wednesday, October 16 | 10:45AM–11:30AM CT | W196c, Level 1
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.
Team Lead for Learning Analytic Applications, The Pennsylvania State University