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Generative AI for Mathematics Open Educational Resources: Developer and Educator Perspectives
Friday October 9, 2026 2:15pm - 2:45pm EDT
7 DR5
ID: 33183

This panel will report about an ongoing project about generative AI in OER use and creation in mathematics. Each speaker will share about their specific areas of responsibility and findings from the project. Cristina Heffernan will present about the ASSISTments platform. ASSISTments is a Standards-aligned math practice and assessment solution that provides timely feedback to students and data to teachers. This data is used by teachers to inform their formative assessment practices. We feel that formative assessment should be integrated into tier one (whole-class, grade-level) instruction. The introduction of a highly rated and used open educational resource, Illustrative Mathematics, has enabled us to do just that. This presentation will share our story from a research project to a competitive product in the K-12 market, supporting the implementation of Illustrative Mathematics in schools that want a proven tech solution.Candace Walkington will present on ideas for using generative AI in OER creation. Generative AI introduces new possibilities for creating open educational resources that are tailored to learners’ interests, experiences, and learning needs. I will discuss how our team is implementing systems for AI-powered context personalization of math problems into OER, as well as systems for integrating AI-generated visuals into OER. Such approaches can improve the quality and relevance of OER materials, both in K-12 and in higher education. They can allow students to better be engaged by and understand difficult mathematical tasks.Jiabao Wen will present on interviews with educators on using generative AI for visuals in OER. Both K-12 mathematics teachers and college mathematics instructors often use problems in their courses that involve visuals – images that show math properties or relationships, or that illustrate real-world contexts. AI offers new opportunities for educators to generate new visuals for mathematics learning on-the-fly, to support their students’ needs. I will discuss a series of 30 interviews we conducted with mathematics instructors who use OER where they described their needs related to AI image generation to accompany OER materials, and tested and reacted to current AI image generation approaches.Virginia Clinton-Lisell will present on interviews with OER developers in this project. Ten mathematics OER developers were interviewed about their use of generative AI and tried AI tools for visual creation. Based on analyses of the interviews, there was varied adoption of AI tools by OER developers for their workflow process, with some enthusiastic about AI and others reporting little to no use. Common complaints about the generative AI tools demonstrated were the lack of accuracy and concerns that the images would not be accessible across functional diversity.
Speakers
avatar for Candace Walkington

Candace Walkington

Annette and Harold Simmons Centennial Chair and Professor, Southern Methodist University
Dr. Candace Walkington is an Annette and Harold Simmons Centennial Chair, Professor, in the Department of Teaching and Learning at Southern Methodist University, specializing in mathematics education. Dr. Walkington conducts research on technology-enhanced approaches to mathematics... Read More →
avatar for Virginia Clinton-Lisell

Virginia Clinton-Lisell

Associate Professor, University of North Dakota
Dr. Virginia Clinton-Lisell began her career in education as an ESL teacher in New York City. She then obtained her PhD in Educational Psychology with a minor in Cognitive Science at the University of Minnesota where she was trained in educational research. She has published over... Read More →
avatar for Cristina Heffernan

Cristina Heffernan

Co-Executive Director and Co-Founder, ASSISTments
Cristina began her teaching career as a Peace Corps volunteer in Gabon, Africa. Since then she has felt at home working with and for educators with a special passion for middle school math. In 2003, Cristina was the go-to advisor for the work her husband Neil was starting at WPI... Read More →
JW

Jiabao Wen

PhD student, Southern Methodist University
Jiabao Wen is a Ph.D. student in the Department of Teaching and Learning at Southern Methodist University. His research focuses on generative AI in K–12 mathematics education, with particular attention to multimodal AI, visual representations, and the design of AI-supported learning... Read More →
Friday October 9, 2026 2:15pm - 2:45pm EDT
7 DR5 MIT Samberg Conference Center, 50 Memorial Drive, Cambridge MA 02139 USA
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