Long papers on how technology supports teaching and assessment, with attention to multilingual learners and analytics. Topics include AI scaffolds for multilingual science inquiry, a four-step formative assessment cycle, flexible primary-language use in EdTech, and a temporal learning-engagement analytics framework.
Long papers on play, games, and young children's mathematics, including how kindergarteners negotiate teacher-designed playworlds and how teacher-child tensions during math play become sites of learning. Other talks present a three-prong framework for theory-based math games and the design of transformational games for socio-ethical reasoning about generative AI.
A symposium examining a set of AI-literacy partnership projects that all involve Google as a case study of research, practice, and industry collaboration. Through presentations and moderated discussion, it identifies where such partnerships intersect, what shapes their direction, and where new mutually beneficial configurations might emerge.
Short papers on AI literacy and AI tools across learners and educators, from students' mental models shaping epistemic cognition of AI results to teachers' feedback strategies with intelligent tutoring systems. Other talks cover teachers' uptake of AI in climate education, neural-network simulations for educators, AI literacy with children, and bibliometric trends in STEM.
Using activity theory and CHAT, these papers trace how learning systems shift and are structured across out-of-school STEM, district AI capacity-building, classroom makerspaces, and medical simulation. Threads include brokering family engagement, peer networks for K-12 AI, student-driven sociocultural change, and epistemic justice in standardized-patient training.
Long papers on teacher noticing and learning, including curriculum routines that mediate tensions with a collaborative AI agent and a critical look at the politics of what counts as noticing. Other talks frame teacher learning across the multiple rhythms of learning ecologies and use speculative interaction geography to imagine embodied interactions beyond AI prediction.
Four papers examine how teachers develop AI literacy and capacity, from an activity-theoretical study of why educators disengage from building AI agents to Knowledge Building professional development through design thinking. Other talks propose a socio-cognitive framework for K-8 AI literacy and analyze shared epistemic agency when teachers co-plan AI-integrated lessons with generative tools.