AI in Higher Education: An Overview

Explores the role of predictive analytics in higher ed, its ethical challenges, and ways to implement it ethically.

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About this Webinar

This webinar examines the role of data and technology in supporting equity and addresses why good intentions may not be enough to ensure that underrepresented students are not inadvertently harmed through the use of predictive analytics. The webinar presents systemic failures and successes in using technology to scale supports and interventions. It also identifies points of consideration before colleges purchase systems to identify and support student populations of need.

Webinar Demo:

Release Date: January 19, 2023

Language Availability: English

Suggested Audiences: Compliance Professionals, Faculty, Higher Education Administrators, Institutional Officials, Institutional/Signatory Officials

Organizational Subscription Price: $300 per year/per site or included as part of an annual subscription to our All Access Webinar Package
Independent Learner Price: $49 per person

Webinar Content

AI in Higher Education: An Overview

Presented by: Iris Palmer, MPP -  New America

Learning Objectives:

  • Define predictive analytics.
  • Describe how colleges are using predictive analytics.
  • Identify possible ethical and implementation challenges with predictive analytics.
  • Identify the possible pitfalls in implementing predictive analytics and strategies for addressing these pitfalls.

Recommended Use: Required
ID (Language): 20805 (English)

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