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2026-2027 CETL Workshop Series on AI
This series of workshops is designed around the eight principles of learning outlined in How Learning Works (2nd ed.), with panels and workshops on AI through the lens of those principles. While some of these will be facilitated by CETL faculty and staff, others will be hosted by CETL and led by other KSU experts, creating space for shared expertise, reflection, and dialogue.
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Individual Differences: Navigating the AI Landscape in Higher Education
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Date: September 1, 2026
Time: 2:20 p.m. - 3:40 p.m.
Location: Virtual
Moderator: Michele DiPietro
Faculty Panel: Ayse Tekes, Pete Rorabaugh, Paul McDaniel
The science of learning is predicated on the idea that individual differences enrich
the learning environment when explored productively, and differences in AI stance
are no exceptions. Far from advocating a one-size-fits-all approach, CETL encourages
educators to let their values, conceptions of the future, and individual or disciplinary
contexts interrogate their position on AI, whether it be embracing, cautious, rejecting,
or anything in between and beyond. In this faculty panel, we will hear from faculty
with a variety of perspectives and learn what experiences inform their stance, how
they articulate it to their students, and how it unfolds in their teaching. Participants
will also have the opportunity to ask questions and dialogue with the panelists.
Register For Workshop
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AI Foundations: The Impact of Prior Knowledge
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Date: September 28, 2026
Time: 4:00 p.m. - 5:00 p.m.
Location: Virtual
Facilitator: Laura Howard
This interactive workshop helps faculty surface how their existing knowledge, assumptions, and misconceptions about AI can shape teaching and learning. Participants will develop a shared foundation by examining generative AI and agentic AI in academic contexts, including core capabilities and limitations; institutionally supported tools, such as Microsoft Copilot; and key considerations related to data governance and accessibility. By situating AI alongside earlier technological shifts in higher education, this session supports faculty in assessing and activating their prior knowledge as they adapt to teaching in the age of AI.
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Organizing Knowledge: Cognitive and Pedagogical Impacts of AI
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Date: October 12, 2026
Time: 11:00 a.m. - 12:15 p.m.
Location: Virtual
Moderator: Rebecca Weaver
Faculty Panel: tbd
This interactive faculty panel will showcase a variety of perspectives on how faculty can support their students' organization of knowledge. Panelists will explore how AI can support—or undermine—the organization of knowledge, including making meaningful connections, evaluating AI‑generated information, and avoiding superficial understanding or unproductive cognitive offloading.
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AI2: Academic Integrity in the Age of AI
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Date: November 12, 2026
Time: 1:00 p.m. - 2:15 p.m.
Location: Prillaman Indoor Plaza
Facilitators: Laura Howard & Misty Grayer
While issues of academic integrity have always been part of the higher ed landscape, the emergence of generative and agentic AI has deepened and accelerated anxiety about students cheating on activities and assessments. Research shows that when students expect to succeed in a class, value the class, and see the cost of doing class activities as worth their time and effort, their motivation to succeed and learn increases. This interactive session will explore strategies faculty can use to create and sustain motivation in classes, so that students pursue the goal of learning instead of “getting the A” at any cost.
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