This symposium presents scaffolds that help learners critically deconstruct and evaluate AI/ML systems rather than treat them as black boxes. It draws on participatory design and case studies to foster equitable, contextually relevant practices for examining how such systems work and affect users.
Four long papers reimagine educational futures, including how middle school Black girls reframe surveillance through critical machine learning design and Black futures sensemaking in a future-educator course. Others derive design principles for speculative teacher imagination and examine learning at rogue conference poster sessions.
This interactive poster symposium connects research on AI's role in creativity with research on control, contexts often placed in opposition. Studies span formal education, after-school and summer programs, community workshops, and performing arts, fostering a cautious but hopeful conversation about AI's ethics and potential.
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.