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.
This symposium reports on the Institute of Student-AI Teaming (iSAT), which designs AI partners as social collaborators that both facilitate group learning and become objects of inquiry so students can look under the hood of AI systems. Six posters spanning AI design, infrastructure, curriculum, and teacher learning illustrate a multi-state co-design process embedding AI within classroom collaboration to build AI literacy.
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.
First round of facilitated breakout conversations in the ISLS Community Meeting, each tackling a core question for the society's future. Rooms cover the Annual Meeting, hybrid engagement, finances, governance, volunteering, AI, year-round community, early-career support, CSCL identity, and allyship against harassment.
Second round of facilitated breakout conversations in the ISLS Community Meeting, letting attendees take up a different core question. Rooms again span the Annual Meeting, hybrid engagement, finances, governance, volunteering, AI, year-round community, early-career support, CSCL identity, and allyship against harassment.
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.