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Main Authors: Candia, Cristian, Pulgar, Javier, Pinheiro, Flavio
Format: Preprint
Published: 2022
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Online Access:https://arxiv.org/abs/2203.05624
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author Candia, Cristian
Pulgar, Javier
Pinheiro, Flavio
author_facet Candia, Cristian
Pulgar, Javier
Pinheiro, Flavio
contents Underlying complex systems, there is a rich web of interconnected components that determine the relational properties of the system. Yet, traditional methods used in education sciences often disregard the underlying complexity of the educational system and, consequently, its emergence phenomena. Here, we argue that an interconnected vision of educational systems -- from classrooms to an organizational level -- is key to improving learning, social integration, well-being, and decision making, all fundamental aspects of the educational experience. Understanding the education system as an interconnected network of people, degree programs, and institutions requires methods and concepts from computational social sciences. Thus, we can leverage institutional records and (quasi) experimental designs to elicit the relational maps of key players in education and derive their implications in their functioning at all scales. In different settings, from elementary classrooms to higher education programs, we show how mapping the network relationships between entities can lead to the inference of novel insights about education systems and the development of solutions with societal implications.
format Preprint
id arxiv_https___arxiv_org_abs_2203_05624
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Interconnectedness in Education Systems
Candia, Cristian
Pulgar, Javier
Pinheiro, Flavio
Physics Education
Underlying complex systems, there is a rich web of interconnected components that determine the relational properties of the system. Yet, traditional methods used in education sciences often disregard the underlying complexity of the educational system and, consequently, its emergence phenomena. Here, we argue that an interconnected vision of educational systems -- from classrooms to an organizational level -- is key to improving learning, social integration, well-being, and decision making, all fundamental aspects of the educational experience. Understanding the education system as an interconnected network of people, degree programs, and institutions requires methods and concepts from computational social sciences. Thus, we can leverage institutional records and (quasi) experimental designs to elicit the relational maps of key players in education and derive their implications in their functioning at all scales. In different settings, from elementary classrooms to higher education programs, we show how mapping the network relationships between entities can lead to the inference of novel insights about education systems and the development of solutions with societal implications.
title Interconnectedness in Education Systems
topic Physics Education
url https://arxiv.org/abs/2203.05624