Teaching and Learning with AI Conference

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.

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.