Prepare for Fall: Agentic AI and Its Impact on Teaching & Learning

Due to zero registrations for this event, it has been cancelled and will be rescheduled for Fall 2026. If you are interested in engaging in professional development in May on the topic of AI, please attend this May 6 session: AI Faculty Learning Community – Best Practices and Lessons Learned.

This workshop is an introduction to agentic AI (AI systems that can plan, make decisions, and take action toward goals with limited human prompting). We’ll define and distinguish agentic AI from other types of AI (generative, predictive, custom chatbot agents) and consider the implications of this emerging technology on teaching, learning, and academic integrity. The session emphasizes critical reflection, risk assessment, and possible response strategies, especially with an eye toward Fall 2026 classes.

Our learning objectives for participants:

• *Differentiate agentic AI from generative AI, predictive AI, and custom chatbot agents.
• *Describe the core characteristics of agentic AI.
• *Consider risks, challenges, and limitations of agentic AI in higher education (we’re not sure if there are benefits – but we’ll consider those too!).
• *Evaluate implications of agentic AI for course design and assessment.
• *Articulate at least one actionable strategy for responding to agentic AI in your own teaching practice.

Facilitated By: Jen Garrett-Ostermiller (CTLI Director) and Jeff Tunney. (CTLI Associate Director).