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Student Explorer is an early warning system that uses near real-time data to inform academic
advisors about students at risk of falling further into academic jeopardy. Learn how a team of
University of Michigan developers and researchers used APIs to integrate Canvas user data
into U-M's learning analytics ecosystem.
Presenter: Steve Lonn Glenn Auerbach - University of Michigan
Location Map & Room: ESCALA B |
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Additional Resource Links:
Student Explorer Data Dictionary
Selected academic papers about Student Explorer:
Session video is now available here:
Using Canvas APIs to Serve a Campus Early Warning System - YouTube
The session video is now available at:
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