Learning Analytics: Identifying and Supporting At-Risk Students
Learning Analytics: Identifying and Supporting At-Risk Students
Categories: General
422 Dunton Tower
1125 Colonel By Dr, Ottawa, ON
Contact Information
Educational Development Centre, 613-520-4433, edc@carleton.ca
Registration
Cost
Free
About this Event
Host Organization: Educational Development Centre
More Information: Please click here for additional details.
While using cuLearn, students leave digital footprints of how they interact with the course material, their colleagues, teaching assistants, and instructors. Looking at the logs of student activity, along with their grades, it has never been easier to see how engaged students are with the course.
Find out how to make data-driven decisions to help support struggling students succeed and reduce your DFW rates. Using cuLearn reports, the engagement analytics block and the Gradebook tools, we will look at:
-What is an “at-risk” student?
-How do we identify these students?
-What can you do to help?