Identifying at-risk students using predictive analytics OLATFF1018

Learn to use the tools available to faculty to discover which students are at-risk of failing or stopping out. Tri-C has predictive analytics tools built into our LMS environment so that you can assist students and connect them to support and resources when most needed.

Dial-In Information

Register in TEC by searching OLATFF1018 or registering here:

Tuesday, August 2 at 10:00am

Virtual Event
Event Type

Faculty Development, Student Success and Completion, Technology for Teaching

Target Audience


Contact Information

Kari Vara,

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