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.
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.