Four long papers use multimodal data to study how emotions and teacher support are regulated during collaborative learning. Topics range from emotion regulation in student dyads building computational models to teacher orchestration load, proximity effects, and scaffolding via classroom chatbots.
Four papers on teaching and studying AI ethics across age groups and methods. Approaches include a literature review of AI ethics in ISLS proceedings, tabletop and scenario-based games for fostering multidimensional and ethical thinking, and laddering methodology for surfacing young children's values in design.
Four papers on how programming environments and AI are reshaping computer science education. Topics include balancing usability and expressiveness in block-based modeling, Parsons puzzles paired with self-explanation, teachers' shifting conceptions of AI/ML and algorithmic justice, and norms around when copying code is acceptable.