Physics problems and instructional strategies for developing social networks in university classrooms
Figure from the articleAbstract
This preprint studies how physics problems and instructional strategies shape social interaction networks in university classrooms. Using social network analysis, it connects problem structure and teaching design with peer information seeking and collaborative learning.
Type
Publication
arXiv
Javier Pulgar
Physics Department, Universidad del Bío Bío
Cristian Candia
Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Head of CRiSS-LAB.
Cristian Candia studies how societies transform information into collective relevance through attention, memory, preferences, and coordination. His work combines computational social science, network science, AI, and large-scale behavioral data to understand how groups, institutions, and societies decide what matters.