Clearly, LLMs have improved since bursting onto the public scene in 2022. New frontier models are released by the big players seemingly every few weeks. These updates expand capabilities beyond simple conversations, and include file uploads and downloads. There are now sub-models that provide reasoning, thinking, and deep research, all of which tackle thornier problems and are less prone to hallucinations. But the world of AI is bigger than LLMs. Agentic browsers now perform tasks directly on websites, and similarly-powered desktop agents can create, organize, or delete files directly on your computer. Wearable AI devices, including smartglasses with digital displays in the lenses, will only become more varied and prominent going forward. The marriage of AI and robotics promises to revolutionize entire industries, not to mention life inside the home. The future will bring even more advances. We'll close by exploring what ramifications for education might arise from artificial intelligence that matches, or even exceeds, human intelligence.
As artificial intelligence becomes embedded in higher education, faculty need practical tools for ethical decision-making that extend beyond compliance. This interactive session introduces the EQUITY-AI Framework, a step-by-step model for evaluating AI use through lenses of transparency, authorship, bias, privacy, and equity. Participants will engage in polls, case applications, and guided activities to apply the framework. Attendees leave with adaptable strategies and tools they can immediately implement across disciplines and instructional modalities.
Learn to build an AI agent assistant that answers common emails, schedules appointments, and automates routine administrative tasks—no coding required. This hands-on workshop guides participants through creating a personalized AI agent using BoodleBox and Jotform. See a live demonstration of a Provost Office Agent that handles faculty questions, provides policy information, and completes forms in a conversational manner. Participants will build their own agent framework and receive a step-by-step replication guide. Perfect for faculty, administrators, and staff seeking to reduce email volume and reclaim time for high-value work. Bring a laptop and basic tech literacy.
Director of Academic Operations, Lipscomb University
Abby Bell is Director of Academic Operations at Lipscomb University, where she has spent three years transforming academic operations through AI implementation and instructional innovation. With over a decade in education, including seven years as an international teacher and vice... Read More →
Thursday June 11, 2026 2:20pm - 3:20pm EDT Coastal 8
We present a gamified approach integrating generative AI into undergraduate genetics education. Students work in small groups to create AI-generated patients with unique personalities, demographics, living situations, and genetic conditions, all interconnected. They counsel patients through complex scenarios and complete diagnostic exercises with unknown AI cases, strengthening decision-making, critical thinking, and diagnostic reasoning. Preliminary survey data indicate this approach enhances engagement, ethical reflection, and preparedness for real-world clinician–patient interactions. This model demonstrates how AI can serve as an interactive, gamified pedagogical tool adaptable across disciplines.
The Florida Instructional Designer Network invites both old and new friends to join us for this face-to-face meet-and-greet event. Opportunities to connect in person are especially valuable to our community because of the nature of our work and our operational model. We look forward to sharing conversations, ideas, and connections over breakfast.
By 2030, AI will render artifact-based assessment obsolete. When AI can generate polished essays and problem sets, how do we assess actual learning? This collaborative session explores emerging alternatives: dialogic assessment where AI engages students Socratically, instrumented environments that reveal reasoning processes, and continuous competency demonstration replacing high-stakes exams. Share your predictions, surface institutional barriers, and contribute experiments underway. Leave with assessment patterns you can pilot, language for institutional change, and peer connections; not a fixed blueprint, but sharper questions and plausible futures.
Manager of Academic Innovation, University of Illinois Urbana-Champaign
Julia Sabin is Senior Associate Manager of Academic Innovation at the Gies College of Business, University of Illinois Urbana-Champaign. She leads pilots of emerging educational technologies, including AI-assisted grading and feedback systems, learning analytics, and scalable instructional... Read More →
As generative AI becomes ubiquitous, many institutions respond with detection and surveillance. Grounded in Self-Determination Theory, Universal Design for Learning (UDL), and Transparency in Learning and Teaching (TILT), this workshop offers a relationship-centered alternative. When students experience meaningful choice, appropriate challenge, and genuine connection, motivation increases and the impulse to outsource thinking diminishes. Clarity about AI use enables students to see opportunities rather than fear punishment. Participants gain practical strategies to scale care, connection, and presence—even online—so engagement and integrity become natural byproducts of learning rather than requiring enforcement. #UDL #AcademicIntegrity #SelfDeterminationTheory
Students learn most effectively through active engagement rather than passive consumption of static materials. This talk examines replacing traditional weekly textbook readings with interactive, chatbot-driven prompts that adapt to individual student understanding, encourage inquiry, and reinforce conceptual reasoning. By shifting learning from one-way information transfer to guided technical dialogue, instructors can create and manage feedback-driven learning environments that better support how engineering students explore, test, and internalize complex systems. This talk will present a demo of the tool currently in use at Kennesaw State University.
New AI coding agents like Claude Code are lowering the barrier to programming. This interactive workshop will survey approaches to coding across disciplines, including current agentic tools and strategies for incorporating them into classes beyond computer science, drawing on lessons from our recent "AI Coding for Everyone" class. Attendees will practice the key methodology of specs-driven development, which uses critical thinking, writing, and human-centered design to drive the programming process rather than traditional line-by-line coding. We'll discuss how agentic coding can complement the humanities and social sciences and strengthen the value proposition of a liberal education.
This presentation demonstrates how artificial intelligence can enhance interpretation and visualization of public health data, emphasizing conceptual understanding over computation. Designed for students analyzing epidemiologic and surveillance datasets, the session shows how AI tools can clarify complex tables and trends through narrative explanation and visual storytelling. Participants will create a coherent dashboard depicting publicly available data student demographics using bar, histogram, and pie charts, plus 1–3 additional visualizations, each with clear titles, labels, and brief narrative text. By integrating AI‑generated insights responsibly, students strengthen core skills in data communication and translational science—learning to explain what data means, not simply calculate it, while respecting the boundary that AI should not replace statistical analysis
As AI tools become embedded in course design, faculty face a growing challenge: AI systems, access, and institutional policies change faster than academic calendars. This interactive session introduces AI-resilient course design, an approach that separates learning intent from tool dependency so learning outcomes remain valid even when AI tools disappear, degrade, or are restricted mid-semester. Participants will apply a practical framework to redesign AI-integrated assignments for durability, rigor, and assessment integrity—using design patterns that can be implemented without changing institutional policies or platforms.
