Interconnectedness in Education Systems

Figure from the chapter

Abstract

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.

Publication
In Handbook of Computational Social Science
Cristian Candia
Cristian Candia
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.

My research interests include applied AI, computational social science, network science, collective intelligence, school coexistence, decision intelligence, and business analytics.

Javier Pulgar
Javier Pulgar
Physics Department, Universidad del Bío Bío
Flavio Pinheiro
Flavio Pinheiro
NOVA IMS, Universidade Nova de Lisboa