The PEERS Learning Analytics and Education Research Data webinar focuses on using learning analytics data for STEM education research. The webinar will inform researchers about the potential of learning analytics data for their research, strategies for accessing learning analytics data, and relevant tools for analysis.
The presentations will cover topics such as learning sciences, access points of higher education data, relationships between cognitive theories of human learning, human-computer interactions, psychological theories of student engagement, and what goes on in college classes.
This webinar will feature the following researcher: Ben Motz (Indiana University), Rene Kizilcec (Cornell University), Xu Wang (University of Michigan), and James Russell (Unizin)
During this webinar, we will:
Define learning analytics
Describe the methods and importance of the research that have been conducted
Discuss how to access and work with the learning analytics datasets
Participants will also have the opportunity to provide feedback and ask questions.
This webinar is free and open to the public.
This webinar will be recorded and the recording will be sent to all registrants.
Zoom FAQ for Attendees: http://myumi.ch/kx2oo
Sponsored by the PEERS Data Hub: www.PeersDataHub.net