artificial intelligence, oer, open educational resources, open pedagogy, open educational practices, generative ai, large language models
Open content, such as textbook-length open educational resources (OER) or smaller pieces like an assignment, can offer numerous benefits to students by being free, diverse, and effective replacements for traditional textbooks, but there are limited open resources and difficulties creating new open content. This poster explores how generative AI can remove these barriers, enabling instructors to have time and support to create and use open content in their courses. By highlighting use cases, attendees will see how to do this approach in their own classroom, regardless of modality or discipline. Important considerations will be addressed, including usage, sharing, and ethics.
This poster presentation was presented at Teaching and Learning with AI Conference 2023.
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
Dubach, Lily; McNulty, Rebecca; and Paradiso, James R., "Using Generative AI to Remove Barriers in Support of Open Content Creation" (2023). Faculty Scholarship and Creative Works. 1222.