Interconnectedness in Education Systems
Figure from the chapterAbstract
Education systems are webs of interconnected students, teachers, programs, institutions, and decisions. This chapter argues that a network-based view of education can improve learning, social integration, well-being, and decision making by using institutional records, experiments, and computational social science methods to map relational structures across scales.
Type
Publication
In Handbook of Computational Social Science
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.
Javier Pulgar
Physics Department, Universidad del Bío Bío
