Teaching and Learning with AI Conference

AI writing support often collapses into answer giving or copy editing. Our team has created an option that nurtures student learning, thinking, confidence, and agency. ArchPal engages students deeply, dialogically, and reflectively in the writing process. Participants will interact with ArchPal to observe, discover, and discuss its design, coaching moves, and guardrails with the developers. Participants will also learn about our technological architecture, stakeholder network, research agenda, and funding pursuits. Participants will then map their local writing support and AI ecosystems to build their own human-AI network that supports students vertically across the disciplines and horizontally across the curriculum.#studentagency #collaboration #writingacrossthecurriculum

Discover how to transform research articles, textbooks, and course materials into ready-to-use learning objectives, assignments, discussion questions, study guides, and audio/video overviews in minutes instead of hours. This interactive workshop will have you creating actual curriculum materials using Google's free NotebookLM AI tool. You'll learn a proven workflow for uploading your sources, generating high-quality content, and refining outputs to match your teaching style. Bring 2-3 documents related to a course you're developing and leave with polished materials you can use immediately. Whether you teach online, face-to-face, or hybrid courses across any discipline, you'll gain practical strategies to streamline your curriculum development process.#AItools #curriculumdevelopment #NotebookLM

Faculty often struggle not because resources are unavailable, but because the connections between institutional supports for teaching practice and review expectations are not always consistently visible. This session shares lessons from a faculty development initiative that uses generative AI to summarize, categorize, and cross-reference campus resources for just-in-time navigation. Rather than automating decisions, AI is used to increase cognitive efficiency and make complex systems more legible. Using a reflective ERA model (Experience-Reflection-Action), the session demonstrates how leaders can review, revise, and contextualize AI outputs through professional judgment. Participants will gain practical strategies for using AI to design or strengthen their own faculty support, advising, or teaching-focused systems and initiatives.