TY - UNPB
T1 - Interconnectedness in Education Systems
AU - Candia, Cristian
AU - Pulgar, Javier
AU - Pinheiro, Flávio L.
N1 - Candia, C., Pulgar, J., & Pinheiro, F. L. (2022). Interconnectedness in Education Systems. Manuscript submitted for publication. arXiv: Physics: Physics Education. https://doi.org/10.48550/arXiv.2203.05624
PY - 2022/3/10
Y1 - 2022/3/10
N2 - Traditional methods used in education sciences often disregard the underlying complexity of the educational system and consequently its emergence phenomena. Underlying complex systems, there is a rich web of interconnected components that determine the relational properties of the system. 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. Hence, understanding the education system as an interconnected network of people, degree programs, and/or institutions requires methods and concepts from computational social sciences. Thus, we can leverage institutional records and experimental designs to elicit the relational maps of key players in education and derive their implications in their functioning at all scales. Here, 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.
AB - Traditional methods used in education sciences often disregard the underlying complexity of the educational system and consequently its emergence phenomena. Underlying complex systems, there is a rich web of interconnected components that determine the relational properties of the system. 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. Hence, understanding the education system as an interconnected network of people, degree programs, and/or institutions requires methods and concepts from computational social sciences. Thus, we can leverage institutional records and experimental designs to elicit the relational maps of key players in education and derive their implications in their functioning at all scales. Here, 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.
KW - Interconnectedness in Education
KW - Social Relationships in Classrooms
KW - Social Network Analysis
KW - Cooperation
KW - Experimental Game Theory
KW - Learning Analytics
U2 - 10.48550/arXiv.2203.05624
DO - 10.48550/arXiv.2203.05624
M3 - Preprint
BT - Interconnectedness in Education Systems
PB - Cornell University (ArXiv)
ER -