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Innovating K–12 Teaching and Learning with Generative AI: Insights From IES-funded National R&D Centers
Fri, April 10, 3:45 to 5:15pm PDT (3:45 to 5:15pm PDT), Los Angeles Convention Center, Floor: Level Two, Room 515ASession Type: Structured Poster Session
Abstract
As generative AI rapidly transforms education, this structured poster session brings together four IES-funded national AI Research and Development (R&D) Centers at the forefront of research and development in K–12 settings. Each center presents empirical findings, technological innovations, and practical insights on AI-enhanced early literacy, STEM learning, teacher support, and policy frameworks for responsible AI use. Spanning early childhood through secondary education, the session highlights scalable, equity-centered approaches that foreground educator agency, student diversity, and ethical design. Posters include demonstrations of AI tools co-developed with teachers, national survey findings, and role-specific policy analyses. A discussant will synthesize cross-cutting themes and guide discussion on how these innovations inform the future of education in an era of accelerating AI integration.
Sub Unit
Chair
Papers
AIRE: AI Reading Enhancer for Personalized Decodable Texts in Early Literacy - Zhaohui Li, Pennsylvania State University; Qingxiao Zheng, University at Buffalo - SUNY; Dancheng Liu, Buffalo State - SUNY; Tanya M. Christ, East Carolina University; John Z. Strong, University at Buffalo - SUNY; Laura S. Tortorelli, Michigan State University; X. Christine Wang, University at Buffalo - SUNY; Abeer Alwan, University of California - Los Angeles; Dilek Hakkani Tur, University of Illinois at Urbana-Champaign; Jinjun Xiong, University at Buffalo - SUNY
Imagining Futures for Early Literacy and Responsible AI: Results from CELaRAI’s Year 1 Exploratory Study - Tanya M. Christ, East Carolina University; Laura S. Tortorelli, Michigan State University; John Z. Strong, University at Buffalo - SUNY; Lisa Cortez Hendricks, Michigan State University; Danielle Alexander, Oakland University; Maureen Bender, University at Buffalo - SUNY; Anthonia Ojeh, University at Buffalo - SUNY; Jessica Chan, University of Oxford; Amber Lawson, Bowling Green State University; Xintian Tu-Shea, University at Buffalo - SUNY; Jaekyung Lee, University at Buffalo - SUNY; X. Christine Wang, University at Buffalo - SUNY
Responsible AI in K–12 Education: A Policy Review - Zhuoyun Cai, University at Buffalo - SUNY; Zeyu Tang, Stanford University; X. Christine Wang, University at Buffalo - SUNY; Sanmi Koyejo, Stanford University; Ari Hock, University at Buffalo - SUNY; Angelina Wang, Stanford University; Kristen Smigielski, University at Buffalo - SUNY / CELaRAI; Christopher Hoadley, University at Buffalo - SUNY
A Framework for Generative AI-based Cognitive Engagement - Lehong Shi, University of Georgia; Shuchen Guo, Nanjing Normal University; Yizhu Gao, University of Georgia; Hongmei Li, Yunnan Normal University; Liang Zhang, University of Georgia; Ninghao Liu, University of Georgia; Xiaoming Zhai, University of Georgia
Demo: Integrating GenAI-Driven Feedback to Support the Science Practice of Developing and Using Models - Field Watts, Educational Testing Service; Ehsan Latif, University of Georgia; Zhaoji Wang, University of Georgia; Lei Liu, Educational Testing Service; Xiaoming Zhai, University of Georgia
Interactive Machine Learning and Conversational Agents for Supporting Scientific Inquiry in Secondary Education - Matias Ignacio Rojas, University of Georgia; Xiaoming Zhai, University of Georgia
Colleague.AI: An Educational Platform with AI Assistants as Knowledgeable Colleagues for Educators and Friendly Buddies for Learners - Alex Liu, University of Washington; Lief Esbenshade, University of Washington; Shawon Sarkar, University of Washington; Zewei Tian, University of Washington; Zachary Zhang, Colleague.ai; Kevin He, Colleague.ai; Min Sun, University of Washington
Understanding Teachers’ Use of Generative AI in Math and Science Instruction - Shawon Sarkar, University of Washington; Lief Esbenshade, University of Washington; Drew Nucci, WestEd; Sarah Nielsen, WestEd; Ann R. Edwards, WestEd; Joshua Rosenberg, University of Tennessee; Alex Liu, University of Washington; Zewei Tian, University of Washington; Zachary Zhang, Colleague.ai; Kevin He, Colleague.ai; Min Sun, University of Washington
AmplifyGAIN: National Capacity-Building for Trustworthy AI in Education - Shawon Sarkar, University of Washington; Lief Esbenshade, University of Washington; Min Sun, University of Washington; Alex Liu, University of Washington; Zewei Tian, University of Washington; Kevin He, Colleague.ai; Zachary Zhang, Colleague.ai
U-GAIN Reading Overview and Demonstration - Jeremy Roschelle, Digital Promise Global; Adam Porsch, Amira
Educators’ Use of AI Tools for Literacy: Uncovering Opportunities and Challenges for English Learners - Danae Kamdar, Digital Promise; Tiffany Leones, Digital Promise; Stefani Pautz Stephenson, Digital Promise; Ximena Dominguez, Digital Promise
Organizing Practitioner-Centered National Leadership to Support the Use of AI-Enabled Technology to Implement the Science of Reading - Yenda Prado, Digital Promise; Pati Ruiz, Digital Promise; Joshua Ddamulira, Digital Promise