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All sessions are available online except round tables, special activities, and workshops.
Wednesday October 7, 2026 11:50am - 12:55pm EDT
ID: 34021

This panel session introduces the DOERS AI+OER Case Studies Project, a collaborative, multi-institutional initiative exploring how artificial intelligence is intersecting with open educational resources (OER) and shaping the future of openness. As AI tools continue to impact teaching, learning, and knowledge production, open education faces both new opportunities and urgent questions: How do we ensure that AI-enabled practices align with the values of openness and student success? What does it mean to create, adapt, and share knowledge in an era of generative systems? And how can open education practitioners lead in defining ethical, transparent, and sustainable approaches to using AI in education?The DOERS Collaborative launched the AI+OER Case Studies Project to document and examine real-world implementations at the intersection of AI and open education. Drawing on contributions from a wide range of institutional contexts and disciplines, the project centers practice-based case studies that explore how educators, researchers, and program leaders are integrating AI into open education workflows, pedagogies, and infrastructures.This session frames AI not simply as a tool, but as an opportunity for rethinking openness itself. Author/Panelists will present selected case studies that highlight diverse applications, such as using AI to support OER creation and adaptation, enhancing accessibility through automated tools, enabling new forms of student engagement and co-creation, and leveraging AI for data-informed decision-making. At the same time, the session will critically examine tensions that emerge at this intersection, including questions of authorship, intellectual property, bias, transparency, and the environmental and labor implications of AI systems.A central focus of the session is how open education values can inform the development and use of AI in ways that prioritize public good. Panelists will discuss how openness can serve as both a framework and a set of practices for guiding AI integration—emphasizing transparency in processes, openness in licensing and sharing, and collaboration across roles and institutions. They will also explore how case study methodology enables the field to move beyond abstract debates, offering grounded, contextualized insights that can inform both local practice and broader policy conversations.Each contributor will share practical insights from their work, including how they designed their projects, navigated ethical and institutional considerations, and assessed impact. The session will highlight patterns emerging across cases, as well as areas of divergence that point to the complexity of implementing AI in open education contexts.Attendees will leave with a clearer understanding of how AI is currently being used within open education, along with concrete examples and critical questions to inform their own work. The session will conclude with a facilitated discussion, inviting participants to reflect on how they can engage with AI in ways that not only extend the reach of open education, but also uphold and evolve its core principles.
Speakers
avatar for Kathy Essmiller

Kathy Essmiller

Coordinator, OpenOKState, Oklahoma State University
Kathy is an open education leader, librarian, and educator dedicated to advancing access to education and community through the adoption and creation of open educational resources (OER). As the Coordinator of OpenOKState at Oklahoma State University, Kathy collaborates with faculty... Read More →
Wednesday October 7, 2026 11:50am - 12:55pm EDT
7 DR5 MIT Samberg Conference Center, 50 Memorial Drive, Cambridge MA 02139 USA

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