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.
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.
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.