Downstream Workshop

Office/Remote Location

Virtual

Description

Want to know how your students are doing before challenges show up in their grades? Sign up for this information session where we will cover how to access and get started with Downstream!

Downstream, developed by UNLV’s Office of Learning Analytics, is a Canvas-integrated learning analytics tool that combines brief student reflection surveys with course activity data. Track factors such as confidence, motivation, study habits, stress, and resilience to better understand where students may need support. Downstream now features Chiron, an AI agent informed by machine learning predictive models that recommends early alert categories for your class—making it easier to identify and support struggling students early.

Admission Information

Open to all academic faculty, part-time instructors, and graduate teaching assistants. Register.

Contact Information

Teaching and Learning Commons (TLC)
Julie Cohen

Filters

Open to All