Short papers map how teachers learn to use and reason about AI, from archetypes in designing multi-agent instructional workflows to STEM educators' confidence and knowledge of AI. Others weigh teachers' hopes and concerns about AI image generation and analyze instructor attitudes toward cheating with AI.
Four long papers explore tools and AI for supporting collaboration, including learning-analytics-augmented meta-discourse for shared epistemic agency and LLM agents that foster children's collaborative reasoning. Additional work covers augmented reality for product design in makerspaces and teacher perspectives on AI-supported collaboration in multilingual classrooms.
Five short papers analyze how collaborative learning unfolds, using methods like Epistemic Network Analysis to model collaborative initiative in STEM simulations and multimodal interactions across jigsaw tasks. Topics range from combining intelligent tutors with concept maps and teachable agents to GenAI-supported interdisciplinary teams and age differences in older-adult learners.
Five short papers advance methods for studying collaborative learning, from reframing social annotation as a text-embedded analytics ecology to AI-powered knowledge graphs that make Knowledge Forum discourse visible. Other contributions theorize transitional space across individual and collective levels, formalize inquiry scripting, and review GenAI tools for collaboration.
Five short papers interrogate AI's evolving roles in collaborative knowledge work, including students' experience of AI as a creative collaborator and a typological framework for AI's epistemic authority in Knowledge Building. Additional talks examine children's epistemic agency in AI science eBooks, activity theory for human-AI teaming, and a three-year cross-community design study.
This symposium argues that CSCL needs more robust theory built through formalized models, causal mechanisms, and generative AI to close the gap between theoretical positions and data. Presenters discuss computational modeling of collaborative scripts, temporal processes, and multimodal, multi-level collaboration as pathways to generalizable theory.
A fast-paced set of Ignite talks featuring auto-advancing slides on emerging ideas and works-in-progress across the learning sciences. Threads include AI in classrooms and teams, joy and wellbeing pedagogies, neurodivergent and inclusive learning, computational thinking, and arts-based methods such as dance and game design.
A demo session showcasing interactive prototypes, with a strong emphasis on generative-AI tools for self-regulated learning, AI literacy, and coaching, alongside immersive technologies such as olfactory VR and mixed-reality simulations. Other demos cover block-based quantum computing, Jupyter notebooks for K-12 educators, music and topological analytics tools.
A virtual poster session covering a wide range of learning-sciences topics, including making and aesthetics, computational thinking and creative coding, and culturally responsive STEAM across international contexts. Studies also examine generative-AI policies and student-LLM reasoning, field trips, and physics teacher professional development.
A virtual poster session on computer-supported collaborative learning, featuring AI as a collaborative partner, adaptive support, and feedback literacy across peer, AI, and teacher sources. Methods span meta-analysis, scoping reviews, multimodal and physiological data on teamwork, teacher stress, and argumentative discourse.
In-person CSCL poster session dominated by generative AI in collaborative learning, from teacher-in-the-loop essay scoring and AI lesson-planning to constrained GenAI for deeper learning and agency. Other posters cover multimodal and NLP methods for assessing collaboration, conversational agents in shared reading, and AI tools in arts learning.
An in-person poster session spanning equity-oriented learning across STEM, computing, and the arts, with threads on multilingual and culturally responsive teaching, integrated STEM+C and AI literacy, and teacher learning in makerspaces and curricular customization. Settings range from family garden activities and afterschool math to climate-change pedagogy and preservice teacher preparation.