Learning Analytics: Governance, Ethics, Confidentiality, and Privacy

Thursday, October 29 | 12:25PM–12:45PM ET
Session Type: Breakout Session
Delivery Format: Simulive
This session reports on a research project surveying strengths and weaknesses of a sample of Canadian institutional policies on student feedback data and learning analytics governance. It offers recommendations on improving data governance practices, with a view to ethically combining emerging learning analytics tools with student feedback data.

Outcomes: Understand the challenges faced when combining learning analytics with student feedback data * Learn how institutions face challenges in combining and governing these data points * Discover how to analyze policies at your own institution to assess learning analytics readiness and student feedback data governance * Learn how to adapt your policies to address any challenges


  • Kimiz Dalkir

    Professor, McGill University
  • Rebecca Katz

    PhD Candidate, McGill University