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 examining learning across communities and contexts, from high schoolers cultivating future-oriented identities to digital accountability in new-teacher mentoring dialogue. Additional work probes youth authority in environmental engineering curriculum co-design and reconceptualizes psychometrics to treat context as intrinsic to learning.
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.