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: https://tri-c.csod.com/samldefault.aspx?ouid=3&ReturnUrl=ui/lms-learning-details/app/event/826324a1-006b-431e-ae3e-3345f09675d5

Tuesday, August 2 at 10:00am

Virtual Event
Event Type

Faculty Development, Student Success and Completion, Technology for Teaching

Target Audience

Faculty

Contact Information

Kari Vara, kari.vara@tri-c.edu

Subscribe
Google Calendar iCal Outlook

Recent Activity