An Afternoon of Learning Analytics: Using Data to Improve Teaching and Learning

Event Date & Time

Event Description

This event is sold out, but you can watch Timothy McKay’s keynote via livestream beginning at 1:00 PM on Thursday, June 20.

Learning analytics is an emerging field that can empower faculty and students in making data-driven decisions that improve teaching and learning. You’re invited to spend an afternoon exploring this field and finding out more about learning analytics at UBC.

At this event, participants will:

• • Learn about the field of learning analytics and its impact on teaching and learning at the University of Michigan.
  • Learn about opportunities to use learning analytics in your teaching from the UBC Learning Analytics, Visual Analytics (LAVA) community and the UBC Learning Analytics Project.
  • Hear from instructors about their experiences using data to reflect on their current teaching practices.
  • Discuss methods for acting on evidence and evaluating the impact of your efforts.

1:00–2:00 PM: Keynote from Dr. Timothy A. McKay — Putting Data to Work: Learning Analytics at Michigan

Timothy A. McKay is data scientist and professor of Physics, Astronomy, and Education at the University of Michigan. His work in learning analytics explores how the collection and analysis of educational data can lead to more personalized and inclusive learning in large classes, as well as support reflective teaching practices.

2:00–2:30 PM: UBC Learning Analytics Showcase + Refreshments

UBC’s Learning Analytics Project aims to empower faculty and students with learning data and analytics to support teaching and learning. The showcase is an opportunity to discover learning analytics tools being piloted by the project.

2:30–4:00 PM: Workshop — Using Data to Enhance Student Learning and Support Instructor Reflection

Instructors strive to create effective learning spaces that provide ample opportunities for students to engage with course content, participate in course activities, and connect with their peers. In this workshop, you’ll learn more about how the analysis of educational data can support students and faculty in making data-driven decisions and how to enhance your own course evaluation efforts.

You’ll hear from faculty about their experiences analyzing course data and gain insights into the types of data sources and tools available at UBC that can support you and your students. This workshop will also include an exploration of ways that data analysis can inform changes to practice and course design and will highlight methods for monitoring the impact of your efforts.

Session Facilitators:

• HsingChi von Bergmann, Associate Professor, Faculty of Dentistry
• Deb Chen, Educational Developer, Teaching and Learning Professional Development, Centre for Teaching, Learning, and Technology
• Kyle Frackman, Assistant Professor, German & Scandinavian Studies, Faculty of Arts
• Jeff Longland, Learning Analytics Project
• Ido Roll, Senior Manager, Research and Evaluation; Director, Institute for the Scholarship of Teaching and Learning, Centre for Teaching, Learning and Technology

This workshop is being offered in collaboration with the Institute for the Scholarship of Teaching and Learning (ISoTL).

If you’re only able to attend part of this session, please let us know by contacting Heidi Wudrick at heidi.wudrick@ubc.ca.