2022/03/10 by Cristián Candia, Candia, Cristian, Javier Pulgar +3
Computer Science · Physics and Astronomy · Psychology · #Cognitive Science and Mapping #Complex Network Analysis Techniques #FOS: Physical sciences #Mental Health Research Topics #Physics Education (physics.ed-ph)
paper · pdf · doi:10.48550/arxiv.2203.05624
openalex publication_date 2022/03/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.