Interconnectedness in Education Systems

Figura del capítulo

Resumen

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.

Publicación
In Handbook of Computational Social Science
Cristian Candia
Cristian Candia
Profesor Asociado, Instituto de Data Science, Facultad de Ingeniería, Universidad del Desarrollo, Chile. Director de CRiSS-LAB.

Cristian Candia es científico social computacional y estudia el comportamiento humano y colectivo usando datos a gran escala, ciencia de redes, experimentos e inteligencia artificial.

Javier Pulgar
Javier Pulgar
Departamento de Física, Universidad del Bío-Bío
Flavio Pinheiro
Flavio Pinheiro
NOVA IMS, Universidade Nova de Lisboa