Learning Analytics and Identifying “At-Risk” Students
Learning Analytics and Identifying “At-Risk” Students
Categories: General | Intended for Staff/Faculty
Registration
Cost
Free
About this Event
Host Organization: Educational Development Centre
More Information: Please click here for additional details.
Facilitator: Ryan Kuhne (EDC)
While using cuLearn, students leave digital footprints of how they interact with the course material, their colleagues, teaching assistants and instructors. Looking at student activity logs, along with grades, it has never been easier to see how engaged students are with your course.
This session will demonstrate how logs, activity analysis, gradebook, feedback, quizzes and statistics all provide lenses to look at student performance and interaction. We will look at the kinds of data cuLearn can produce and the different ways to apply that information in online, blended and face-to-face courses. Find out how to make data-driven decisions to help support struggling students succeed and reduce your DFW rates.