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 advancing methods and theory for collaborative knowledge building and convergence. Contributions include transitional spaces between group and individual learning, NLP-based semantic analysis of discourse, multimodal reflective assessment of socio-emotional interaction, and quantifying convergence via word-abstractness change detection.
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.
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.
Papers on dialogue and collaboration across varied settings, including relational attunement in making, medical students shifting from cooperation to true collaboration, and parents revoicing to guide children's computational thinking. Further talks examine how language shapes access to tools and how productive confusion unfolds during VR collaboration.
Researchers analyze how students articulate and develop their reasoning across science and math, drawing on knowledge-in-pieces and responsive teaching to trace intuitive resources in electromagnetism and evolution. The session also covers participation in optional self-explanation tasks and NGSS-aligned formative assessments that make first graders' life-science reasoning visible.
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.
Long papers on data literacy and computational thinking, from comparing how students engage data practices in agricultural STEM to exploring spatiotemporal data through a space-time cube interface. Additional work operationalizes epistemic data agency at a data-storytelling camp and uses paper-based aids to support computational problem-solving with robotics.
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.