Development of an AI information literacy module for an OER geography course
Program Type
Event
Start Date and Time
11-5-2026 8:00 AM
Program Description
This lightning talk describes a librarian-faculty collaboration to build an open, adaptable AI information literacy module for introductory human geography. Designed for a no-materials-cost general education course, the module requires no additional student purchases and advances affordable learning while helping students use generative AI ethically, transparently, and critically. Rather than treating AI as either a forbidden shortcut or an unexamined solution, the module teaches students to document and evaluate AI use across the lifecycle of a major assignment: question formation, source discovery, outlining, revision, and reflection. Students submit visible evidence of process through prompt logs, transcript links, annotated drafts, and an AI-use reflection explaining what they accepted, rejected, and learned. This design strengthens information literacy, academic integrity, metacognition, and confidence in navigating inconsistent classroom expectations around AI. Our presentation will show how this project reimagines learning through open education values: transparency, student agency, affordable learning, open authoring, and equitable access to emerging literacies. Because the course is already no-cost, the module extends those commitments without introducing new financial barriers. Once refined through iterative assessment and student feedback, the module will be published as an OER that others can adapt across disciplines. We will share sample prompts, scaffolds, and assessment strategies that make ethical AI use teachable without sacrificing human thinking, authorship, or accountability. Participants will leave with a practical, remixable framework for integrating AI literacy into no-cost and OER-enabled courses. The talk will be useful for librarians and faculty seeking concrete, transferable models for open pedagogy in changing learning environments. Learning outcomes: —Identify strategies for teaching ethical and transparent AI use in a no-cost course. —Describe how this module advances affordable learning, equity, and open education goals. —Adapt one scaffold or assessment approach for use in their own course context.
Development of an AI information literacy module for an OER geography course
This lightning talk describes a librarian-faculty collaboration to build an open, adaptable AI information literacy module for introductory human geography. Designed for a no-materials-cost general education course, the module requires no additional student purchases and advances affordable learning while helping students use generative AI ethically, transparently, and critically. Rather than treating AI as either a forbidden shortcut or an unexamined solution, the module teaches students to document and evaluate AI use across the lifecycle of a major assignment: question formation, source discovery, outlining, revision, and reflection. Students submit visible evidence of process through prompt logs, transcript links, annotated drafts, and an AI-use reflection explaining what they accepted, rejected, and learned. This design strengthens information literacy, academic integrity, metacognition, and confidence in navigating inconsistent classroom expectations around AI. Our presentation will show how this project reimagines learning through open education values: transparency, student agency, affordable learning, open authoring, and equitable access to emerging literacies. Because the course is already no-cost, the module extends those commitments without introducing new financial barriers. Once refined through iterative assessment and student feedback, the module will be published as an OER that others can adapt across disciplines. We will share sample prompts, scaffolds, and assessment strategies that make ethical AI use teachable without sacrificing human thinking, authorship, or accountability. Participants will leave with a practical, remixable framework for integrating AI literacy into no-cost and OER-enabled courses. The talk will be useful for librarians and faculty seeking concrete, transferable models for open pedagogy in changing learning environments. Learning outcomes: —Identify strategies for teaching ethical and transparent AI use in a no-cost course. —Describe how this module advances affordable learning, equity, and open education goals. —Adapt one scaffold or assessment approach for use in their own course context.
