This guide page is hosted by the Learning Analytics Task Force of Instruction Steering Committe at the University of Michigan Library. If you have any questions or suggestions, please contact us at firstname.lastname@example.org
As learning analytics is an emergent field, there are a variety of definitions for what constitutes this specific brand of analytics. Some of the more commonly accepted definitions include:
This is video recording of an event at Hacther Graduate Library Gallery held on Sept. 25, 2013.
What is learning analytics? What’s happening on campus with analytics? How can it help inform my interaction with students? Watch the first event of the Learning Analytics Series, and learn the answers to these questions and more. Steve Lonn, USE Lab Assistant Director and Library Learning Analytics Specialist presents an introduction to the topic and leads our discussion.
This is a panel discussion at Hacther Graduate Library Gallery held on Nov 19, 2013.
What ethical requirements do researchers and institutions have for protecting student data? What is the institutional obligation to inform students once the institution “knows” something about academic performance; and how do students respond? How does learning analytics avoid being “creepy”? Chanel Beebe (Engineering Student), Lisa Emery (ITS), Mika LaVaque-Manty (Political Science & Philosophy), Cynthia Shindledecker (IRB), and Stephanie Teasley (Information & USE Lab) participated in a panel conversation exploring these questions.