The presenters will apply the stages of a situationship to analyze the evolving relationship between Gen AI and OER, offering a critical lens on how the two intersect. The session will begin by considering the initial spark, which is a period of experimentation in the Gen AI/OER situationship when educators use Gen AI to adapt and create OER and ancillary materials. The session will then explore the stage of growing comfort with integrating Gen AI and OER, including using Gen AI to evaluate OER and support open licensing. The presenters will then examine how Gen AI can advance accessibility by considering a commitment to an inclusive future through AI’s potential to expand access for all learners. Next, the session will consider the ethical gray areas in the Gen AI/OER situationship, including bias and inaccuracies. Alternatives to applying Gen AI to open practice will be discussed, encouraging attendees to use AI critically and to define their own relationships between Gen AI and OER.
Attendees of this session will be able to:- Explore how to apply generative AI tools to evaluate OER and open textbooks, make licensing decisions, and develop supplemental materials to enhance teaching and learning.
- Improve accessibility in OER by applying generative AI tools to generate alt text and simplify content.
- Critically assess the challenges of integrating generative AI with open educational practices.
