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.
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 10:00amVirtual Event