Teaching & Learning Center: 2025 AI+OER Institute

Learn how librarians at UNM led a summer pilot guiding faculty to develop AI-assisted, openly licensed teaching materials that emphasize open pedagogy, cultural relevance, and equity through cross-disciplinary collaboration and library leadership.

This session presents an IMLS‑funded pilot project by the University of Virginia Library and ISKME, exploring how the affordances of generative AI can empower educators by making OER more available, accessible, and useful through a collaborative community hub and fellowship program.

This session introduces a librarian-created OER that adapts Bloom’s Taxonomy for teaching AI literacy, demonstrating how generative AI tools can support scaffolded instruction, ethical engagement, and critical dialogue across disciplines.

Saturday Keynote
What Gets in the Way of Intelligence Meeting Access?
Equity Considerations When Considering AI for Openness

In this interactive session, participants will be invited to explore multiple frameworks for social justice and explore applying these frameworks both for OER and open practices, and as a lens for looking at Artificial Intelligence. Participants will then be invited to consider the contexts in which use of AI can be used to promote openness, access, social justice and quality learning, and contexts where it may be harmful or risky to use AI in open.

See how one university created a modular, openly licensed faculty development network using generative AI, offering just-in-time training and adaptable resources designed to meet faculty where they are in their AI journey.

Join this interactive session, facilitated by multiple Virginia higher education professionals, to explore what instructors want and need from OER on AI in teaching and learning and strategize ways to develop or refine timely OER to meet these needs.

Explore how Penn State is embedding AI literacy into its communication curriculum to support ethical understanding, practical skills, and critical thinking—preparing students to effectively apply AI tools in real-world speaking contexts.

Lucas Wright
Senior Educational Consultant
University of British Columbia

Lucas Wright supports faculty and staff in integrating technology in their teaching and learning practice. He is an adult learning instructor with more than 15 years of experience teaching adults online, face-to-face and in blended contexts. Lucas supports professional development programs at CTLT including the Instructional Skills workshop, Teaching in a Blended Learning Environment, the Learning Technology Hub and the edX Studio sessions.

Explore how AI-powered tools and OER can support personalized instruction, simplify lesson planning, and enhance creativity in early childhood education while keeping student engagement, developmental appropriateness, and cultural relevance at the center.

Explore how AI enhances OER for English for Specific Purposes by adapting content to industry-specific language needs, supporting interactive learning, and addressing ethical challenges in AI-generated materials for specialized fields.

This session presents a cross-disciplinary, modular curriculum for teaching prompt engineering as a high-level academic skill, transforming AI use into a structured tool for metacognition, workforce preparation, and equitable learning design.

Maha Bali
Professor of Practice
American University in Cairo

Maha Bali is a professor of practice at the Center for Learning and Teaching at The American University in Cairo (AUC). She has a PhD in education from the University of Sheffield, United Kingdom. She co-founded virtually connecting, a grassroots movement that challenges academic gatekeeping at conferences. Also, Bali is a co-facilitator of Equity Unbound; an equity-focused, open, connected intercultural learning curriculum, which has also branched into academic community activities. 

Explore how a Business 101 course integrates generative AI and storytelling to build role-playing scenarios, co-created feedback loops, and ethically guided workflows that increase engagement and support critical thinking across disciplines.

This session introduces tools like Custom GPTs, Gemini, and NotebookLM, offering demos and design strategies for faculty to create AI-ready assessments and foster student learning using backward design in any discipline.

Friday Keynote
Generative AI and Open Education
Questions and Challenges

Generative AI is changing how educators create and share learning materials. AI models can be used to create, adapt, and remix Open Educational Resources in flexible ways. Beyond traditional textbooks, AI makes it possible to develop interactive textbooks and custom bots that support student learning in new formats. This shift also brings questions about authorship, licensing, and how to maintain trust and transparency when content can be generated and updated by machines. 

Participants will examine how to ethically integrate AI into open publishing workflows and collaboratively draft inclusive policies that guide authors, editors, and institutions in adopting AI tools without compromising academic integrity or openness.

Learn how generative AI can quickly produce engaging supplemental materials—like quizzes, handouts, and summaries—that align with your OER and empower instructors to focus more on teaching and less on repetitive content creation.

Learn simple yet effective ways to embed generative AI into daily teaching routines, supporting student engagement, efficient feedback, and classroom interaction through quick, research-informed strategies that respect your instructional goals.

See how AI tools like NotebookLM can help analyze feedback and course materials to improve instruction and how turning student surveys into song can reimagine assessment through humor, engagement, and reflection.

Learn how AI tools can help educators overcome perfectionism and mental blocks by organizing, refining, and generating text, enabling first-time authors to confidently bring their expertise into openly licensed textbook creation.

Learn how generative AI can deepen student thinking, enrich classroom discussions, and revive critical engagement in Humanities courses by transforming traditional texts into student-led explorations through thoughtfully designed prompts and assignments.