Using Canvas APIs to Serve a Campus Early Warning System

[slonn]

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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[slonn]

Additional Resource Links:

Student Explorer Data Dictionary

Student Explorer Demo Video​

Selected academic papers about Student Explorer:

• Investigating Student Motivation in the Context of a Learning Analytics Intervention During a Summer...
• Perceptions and Use of an Early Warning System During a Higher Education Transition Program
• A learning management system-based early warning system for academic advising in undergraduate engin...
• Issues, challenges, and lessons learned when scaling up a learning analytics intervention
• Bridging the Gap from Knowledge to Action: Putting Analytics in the Hands of Academic Advisors

[slonn]

Session video is now available here:

Using Canvas APIs to Serve a Campus Early Warning System - YouTube

[CommunityTeam]

The session video is now available at: