Leveraging Course-Level Data to Support Teaching and Learning

Wednesday, October 26 | 1:30PM–2:30PM | Exhibit Hall B/C, Level One
Session Type: Poster Session
Delivery Format: Poster Session
Analytics and big data are buzzwords throughout higher education, yet most initiatives focus on the enterprise level without considering what we can learn from individual courses. This session will engage participants in a discussion about the merits of course-based analytic data and its potential to transform teaching and learning.


Outcomes: Create shared knowledge and frameworks for mining and understanding data in courses *Learn ways you can analyze and report on course data *Identify issues and solutions to questions of course data validity

Presenters

  • Jess Knott

    AVP of Community Strategy, Experience, and Management, Online Learning Consortium

  • Scott Schopieray

    Assistant Dean for Academic Technology and Scholarly Engagement, Michigan State University