ICON Day 2026 promotional image

ICON Day 2026

Friday, November 13, 2026 9:00am to 3:00pm
Grand Ballroom in the Hilton Garden Inn
ICON Day 2026 will spotlight practical ways to spark participation and deepen learning. Sessions will showcase technology tools that make active learning easier to design and run. Leave with templates, demos, and ideas you can apply in your next class. Claire Howell Major, PhD, will deliver the keynote, Choosing Active Learning Strategies to Support Deeper Student Thinking. This session will highlight how active learning is an instructional approach proven to support student engagement and learning outcomes across disciplines. Register by Monday, Nov. 2.
What Your Students Wish You Knew About AI promotional image

What Your Students Wish You Knew About AI

Tuesday, November 17, 2026 8:30am to 9:30am
Virtual
Members of the Student Instructional Technology Assistant (SITA) team will cover their favorite AI tools, how they use AI in and out of class, and what concerns students have about AI.

Research Services Open Office Hours - November 2026

Tuesday, November 17, 2026 1:00pm to 2:30pm
Virtual
Research Services - Open Office Hours, Tuesday, November 17

Data-Informed Teaching Community of Practice Meeting

Thursday, November 19, 2026 2:15pm to 3:15pm
University Capitol Centre
The Data-Informed Teaching Community of Practice is a faculty community for those who are interested in using data from learning environments to improve student success. We're developing a shared resource to help campus instructors better understand available data and how to incorporate it into their decision-making processes.

Engage with a community

We facilitate or co-facilitate communities related to technology and teaching and learning data on campus. These groups provide opportunities to connect with others and learn how instructors are implementing these tools in their courses.

Request a training

We offer one-on-one and departmental trainings related to instructional technology, classroom technology, and teaching and learning data.