Teaching and Learning with AI Conference

Key: (V) = Vegan; (Veg) = Vegetarian; (GF) = Gluten Friendly (note: the kitchen is not rated for “Gluten Free”)

• Freshly Squeezed Orange Juice (V)
• Chilled Cranberry Juice and Grapefruit Juices (V)
• Freshly Baked Breakfast Pastries (Veg)
• Freshly Ripened Cubed Fruit of the Season (V)
• Oatmeal and Yogurt Parfait Bar: Seasonal Berry Compote, Honey, Walnuts, Cinnamon, Brown Sugar, Raisins and House-crafted Granola (GF), (Veg)
• Cage-free Scrambled Eggs, Cheddar Cheese and Tomato Salsa (GF)
• Pork Sausage Links (GF)
• Vegan Sausage Patty (V) (GF)
• Home Fries, House Seasoning, Herbs (V) (GF)
• Freshly Brewed Coffee, Decaffeinated Coffee & Specialty Hot Teas

Navigating GenAI use in online Master’s programs requires a common language to create clarity around student and instructor expectations. This session explores the practical implementation of the AI Assessment Scale (AIAS) to bridge this communication gap between faculty and students. We will share data-driven lessons on how the AIAS enhances transparency, clarifies task-specific expectations, and serves as a vital force for academic integrity. Attendees will gain actionable strategies for deploying the scale to foster honest, productive AI-human collaboration in digital learning environments. Keywords: AI Assessment Scale, Academic Integrity, Online Graduate Education

How might the AI revolution transform universities? In this presentation we begin by situating academia's response in the macro contexts of AI and economics, geopolitics, psychology, exploring how those disruptions impact higher education. Next we tease out major trends of how faculty, students, and staff respond to and sometimes use the technology, projecting them forwards to glimpse future campuses.  We conclude with several scenarios, possible post-AI academic institutions.