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AI is Already in the Room
Led by Chuck Robertson
In this session we will discuss Eaton's AI 101, Mollick's Homework Apocalypse, and Vee's Critical AI Literacy to develop a shared vocabulary, reduce anxiety surrounding AI, and clarify what faculty and students need to know about AI and its role in higher ed.

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Attention Please: Demystifying Artificial Intelligence for a General Audience
Led by Yong WeiÌý
How do ChatGPT and other modern AI systems actually work? This talk demystifies the fundamental ideas behind large language models and multimodal foundation models, including transformers, attention mechanisms, and vision-language models. Designed for a general audience, the presentation provides an accessible introduction to the algorithms that enable AI to understand and generate text, images, and more.

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Using AI to Your Advantage: Planning and Updating Course Materials
Led by Jennifer Sears
This session focuses on ways to utilize AI tools - specifically NotebookLM - to prepare for future courses or to update existing materials.

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AI in the Classroom: Practical Strategies for Any FacultyÌý
Led by Jane Morris
This session introduces faculty to practical, beginner-friendly strategies for using artificial intelligence (AI) in the classroom. Participants will explore how AI can support teaching, enhance student learning, and be integrated into assignments across disciplines, with a focus on simple approaches that can be implemented immediately.Ìý
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Moving Beyond the Five-Paragraph EssayÌý
Led by Wenxin Guo and Mohan MenonÌý
Restructuring assignments toward multi-modal outputs (podcasts, video pitches, interactive portfolios) or scaffolding the writing process (grading the brainstorm, the outline, the AI-assisted draft, and the final reflection).

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Three Simple Ways to Start Using AI This SemesterÌý
Led by Jane Morris
This session introduces faculty to three simple, practical ways to begin using artificial intelligence (AI) in their courses right away. It focuses on low-effort strategies to support teaching, enhance student engagement, and explore AI tools with confidence.Ìý
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Redesign One Assignment
Led by Chuck Robertson
In this session we will use Stanford's Practical Examples, Mollick's Seven Ways, and Miller's What Not To Do to explore effective approaches for integrating AI into teaching and learning. The goal is for every faculty member to leave with at least one revised assignment and a clear AI-use statement they can implement in their course.Ìý
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Leveraging AI: Practical Uses for Departmental Leadership
Led by Mohan Menon

Explore practical ways artificial intelligence can support the work of department chairs and academic leaders. This session highlights tools and strategies for improving efficiency, communication, and administrative workflows.

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Advising & Financial Aid: Course Program of Study (CPOS)Ìý
Led by Erin ConnellyÌý
This workshop will provide a comprehensive overview of Course Program of Study (CPOS). It will provide information about CPOS, including what it is, the CPOS process, and must-know information for academic advisors. It will also discuss best practices for academic advisors for assisting students with CPOS-related questions, common questions/issues, and points of contact for resolution.

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Teach Smarter with MagicSchool AI: Practical Tools for Faculty Success
Led by Jennifer Sears and Kellie Whelan-Kim
Discover how MagicSchool AI can help streamline course preparation and enhance teaching effectiveness. In this hands-on session, faculty will explore practical tools for creating instructional materials, developing assessments, generating engaging learning activities, and improving course communication. Participants will leave with ready-to-use strategies for integrating AI into their workflow while promoting responsible and effective use of AI in higher education.
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From Chatbots to Scientific DiscoveryÌý
Led by Yong Wei
This talk introduces the basic ideas behind modern AI, from large language models such as ChatGPT to AI systems that can analyze images, molecules, and materials. Using accessible examples, I will explain how AI learns patterns from data and how similar techniques are helping scientists accelerate discovery in areas such as materials design, and biomedical research.Ìý
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Teaching Students to Create Their Own Study Resources with AI
Led by Lori Furbush
This workshop explores how educators can teach students to use AI to create their own study resources. The session will highlight practical ways students can generate summaries, study guides, review questions, and other materials that support deeper learning, stronger retention, and more independent study habits. The workshop leader will also share personal experiences and preliminary study data on the effectiveness of these approaches.

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The "Bring Your Own AI" Exam
Led by Wenxin Guo and Mohan Menon
Explore assignments where students must use AI to generate a solution, but where 70% of their grade is based on their critique and verification of the AI's output, including tracking down hallucinations, evaluating accuracy, and improving the prompts used to generate the response.
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