Faculty Engagement, Learning Analytics, and the Complexity of Higher Ed

Tuesday, October 15 | 5:00PM–5:45PM CT | Board 202, Poster Area, Halls F1, F2, Level 3
Session Type: Poster Session
Delivery Format: Poster Session
Faculty engagement with learning analytics is becoming crucial to advancing a data-informed culture in higher education. In this panel discussion, representatives from four universities will use principles from complexity science to explain how their institutions are helping faculty use big data to improve student success, including underrepresented minority students in STEM.

Outcomes: Compare/contrast 4 different models for engaging faculty in LA * Identify the strategies and resources needed to further faculty use of LA in order to improve teaching, learning, and student success * Consider the 5 complexity principles in relationship to LA and student success programs


  • Ryan Goodwin

    Director, Center for Higher Education Innovation, University of Central Florida
  • George Rehrey

    Director, Center for Learning Analytics and Student Success, Indiana University
  • Doug Ward

    Associate professor, associate director, University of Kansas