It All Worked...Except When It Didn't: Building a Data-Driven Faculty Culture
Concurrent Session 3
Over the past few years, Georgia State University’s Learning Innovations Team has worked with detailed student learning analytics to draw our faculty into new conversations about their teaching methods in both in-person and online environments. In this session, we’ll share our lessons learned, both technical and cultural, and how they’ve shaped our journey from sophisticated, to foundational, and increasingly back to sophisticated.
Our university’s relentless, data-driven, pilot-and-scale approach to improving student success has been extraordinarily successful, especially in the areas of enrollment management, student services, and course redesign. Situated in our Center for Excellence in Teaching and Learning, we’ve been working to build on this culture of innovation and provide our nationally recognized faculty additional tools and data they can use to shape, track, and scale our next generation of best practices. More specifically, to help improve student outcomes, we’ve been working to provide face-to-face and online instructors clear overviews of who has and hasn’t succeeded in their classes historically as well as the kinds of engagement and learning-objective-level data they can use to make real-time adjustments.
In this presentation, we’ll share how our journey with faculty started with sophisticated black-box “solutions” that led us back to the basics. We’ll also discuss how faculty feedback has shaped our approach at each step of the way, share technical lessons, and offer strategies for building buy-in and collaborative communities around data. Lastly, we’ll share what the road ahead looks like for us and encourage attendees to offer insights of their own.