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Thursday October 8, 2026 10:30am - 11:00am EDT
ID: 34040

Open Educational Resources (OER) and Open Pedagogy have long emphasized learner agency, collaboration, and knowledge sharing. As generative artificial intelligence (AI) tools become increasingly integrated into educational contexts, there is a timely opportunity to examine how these tools can be leveraged ethically and productively within open educational practices. This session presents an exploration of AI‑enhanced Open Pedagogy in undergraduate mathematics courses, where students were positioned not as passive consumers of content, but as creators of openly licensed knowledge.In this study, students engaged in renewable assignments that contributed directly to the OER community. Learners created mathematical problems, explanations, and learning resources, openly licensed their work, and agreed to shared it publicly. AI tools such as ChatGPT and Microsoft Copilot were used as learning partners, supporting brainstorming, exploring alternative solution paths, generating practice questions, and refining explanations. Students were explicitly guided to use AI critically such as verifying outputs, reflecting on reasoning to ensuring that all final submissions demonstrated their own understanding.Survey results revealed that the majority of participants preferred this AI‑enhanced Open Pedagogy approach over traditional assignments. Students reported reduced stress, improved confidence, stronger conceptual understanding, and deeper engagement with the material. Many learners highlighted how AI tools supported metacognitive processes such as self‑checking answers, identifying gaps in understanding, and simplifying explanations for broader audiences. Importantly, students consistently emphasized that AI did not replace learning, but rather supported reflection and critical thinking.Participants also expressed enthusiasm about contributing to openly available resources and valued the authenticity of producing work that extended beyond the classroom. However, findings showed that student‑created OERs were often limited in format, underscoring the need for intentional design strategies. This session highlights the importance of brainstorming diverse, interdisciplinary, and creative OER formats with students early in the course to fully realize the potential of Open Pedagogy.The session will conclude with practical lessons learned, ethical considerations for AI use in open contexts, and future directions, including integrating student‑created questions into platforms such as MyOpenMath for global sharing.Key takeaways for attendees include:Practical strategies for integrating AI tools into Open Pedagogy while preserving academic integrity and learner agencyDesign principles for renewable assignments that promote creativity, reflection, and opennessStudent perspectives on AI use in OER creationActionable ideas for expanding the scope and impact of student‑generated OERsThis session offers an early but promising model for how AI‑enhanced Open Pedagogy can support active learning and transform mathematics education within the global open education movement.
Speakers
avatar for Virginia Thompson

Virginia Thompson

Associate Professor, CUNY York College
Professor Thompson currently teaches 100‑level gateway courses in the Mathematics & Computer Science Department at York College. She coordinates all Mathematics General Education (GE) courses, which includes orienting new faculty to the curriculum, updating syllabi, choosing textbook... Read More →
Thursday October 8, 2026 10:30am - 11:00am EDT
8 DR6 MIT Samberg Conference Center, 50 Memorial Drive, Cambridge MA 02139 USA

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