Faculty, staff, and administrators are invited to participate in a new AI-focused professional learning series that explores how generative AI is reshaping teaching, learning, and everyday work in higher education. This collaborative series is being offered by Coulter Faculty Commons, Hunter Library, and IT.
The series features three sessions, including From Detection to Design: Rethinking Assignments with GenAI in Mind, Everyday GenAI at Work: Boosting Efficiency with Microsoft Copilot, and Evaluating AI Information for Reliability. Together, these workshops provide practical strategies, shared language, and campus-informed perspectives to help participants thoughtfully engage with AI tools while supporting effective pedagogy, responsible use, and institutional goals.
From Detection to Design: Rethinking Assignments with GenAI in Mind
Friday, February 6 | 11:15 am – 12:45 pm
In this workshop, instructors will explore how and why structural changes to assignments are essential in the age of generative AI (GenAI). Drawing on current research, the session emphasizes designing assessments that promote learning, integrity, and student engagement rather than attempting to “AI‑proof” coursework.
Everyday GenAI at Work: Boosting Efficiency with Microsoft Copilot
Friday, March 20 | 10:00 – 11:30 am
Discover how Microsoft Copilot can transform your daily workflow. This session will explore practical ways to integrate AI into routine tasks—drafting documents, summarizing content, analyzing data, and more. Learn tips and best practices to streamline processes, save time, and enhance productivity using Microsoft Copilot. Perfect for anyone looking to work smarter, not harder.
Evaluating AI Information for Reliability
Friday, April 17 | 1:00 – 2:00 pm
This session acknowledges the value of the (trained) human eye when working with new technologies, such as AI, to ensure that the information is accurate and reliable, and can therefore be used for some purpose/application (to make decisions, solve problems, etc.) without issue. The goal of the session is for participants to learn how to critically evaluate GenAI outputs to determine if the information can be trusted and used reliably, while enhancing our overall thinking skills.