Short papers on how learners interact with AI across higher education and accessible STEM contexts. Topics include student-AI relationships and shared agency, generative AI for design iteration, accessible games for blind and low-vision learners, and AI-enabled dialogic leadership training.
Short papers on tools and designs that scaffold collaborative learning, with a strong emphasis on self- and socially-shared regulation. Approaches include TA awareness of pre-class reports, game-based simulations like MetaSim, generative-AI chatbots and the MIRACLE multi-agent system, plus a scoping review of AI-supported knowledge creation.
Short papers on AI literacy and AI tools across learners and educators, from students' mental models shaping epistemic cognition of AI results to teachers' feedback strategies with intelligent tutoring systems. Other talks cover teachers' uptake of AI in climate education, neural-network simulations for educators, AI literacy with children, and bibliometric trends in STEM.
Short papers applying complex-systems and network perspectives to learning, from higher-order network analysis of PISA data to a complexity-informed model for educating creators. Other talks examine students' difficulties with dynamic equilibrium, systems thinking via the Venus flytrap, online course ecologies, and causal reasoning through drawing.