Short papers on learning processes in higher education, spanning engineering improvisation under uncertainty, support for first-generation biology students, and curiosity and metacognition in productive failure. Others examine primary source projects in undergraduate math and fair measurement of metacognitive regulation in online STEM.
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 exploring how the arts support identity work, wellness, and disciplinary learning, from artmaking with youth and non-judgmental art pedagogy to reconstructing disabled identities in undergraduate courses. Other talks link art-making to computational thinking, integrate arts with science teaching, and examine trans* body politics in sport.
Papers on dialogue and collaboration across varied settings, including relational attunement in making, medical students shifting from cooperation to true collaboration, and parents revoicing to guide children's computational thinking. Further talks examine how language shapes access to tools and how productive confusion unfolds during VR collaboration.
Short papers on agency, equity, and social justice in learning, including epistemic engagement in multilingual science, rule-breaking as a design affordance, and frameworks for hands-on open science in K-5. Other talks trace racialized assemblages in AP biology, recognition for minoritized STEM instructors, and infrastructuring for climate justice in making.
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.