Academic networks within chilean schools: an exploratory study using exponential random graph models (ERGM)
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Date
2016
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Abstract
El artículo analiza las redes académicas que se producen alinterior de aulas chilenas entre estudiantes de Tercer Año Medio (K-11) en distintos tipos de establecimientos, a través de ModelosExponencialesde Grafos Aleatorios (ERGM). A partir de un modelo analítico que incorpora variables endógenas (reciprocidad,conectividad simple, popularidad, actividad, triangulación) y variables exógenas (género del estudiante, nivel socioeconómico, capital cultural, capital social), se observa que el efecto más importante para explicar las redes académicas se produce por variables endógenas (especialmente por la reciprocidad y triangulación) por sobre el componente exógeno, lo que podría indicar que las relaciones microsociales académicas se configuran, a lo menos en parte, independientemente de las características de los estudiantes. Asimismo, los resultados indican la existencia de relaciones complejas al interior del aula, y algunas diferencias interesantes entre los cursos respecto del efecto de las variables sociales y culturales, lo que podría indicar que algunos patrones de distinción social son relevantes en las interacciones académicas al interior del aula.
The article analyzes the academic networks that occur within classrooms among Chilean students of Secondary Schools (K-11) in different types of establishments, using the Exponential Random Graph Models (ERGM). Based on an analytical model that incorporates endogenous variables (reciprocity, simple connectivity, popularity, activity, triangulation) and exogenous variables (gender, socioeconomic status, cultural capital, social capital) to explain the formation of the academic networks, the results show that the most important variables to explain the academic networks were the endogenous variables (especially reciprocity and triangulation) over the exogenous component, which could indicate that the micro-social relationships configured, at least in part, independently to the characteristics of the students. Theresults also indicate the existence of complex relationships within the classroom, and some interesting differences between the schools in social and cultural variables, which could indicate that some patterns of social distinction are relevant in academic interactions within the classroom.
The article analyzes the academic networks that occur within classrooms among Chilean students of Secondary Schools (K-11) in different types of establishments, using the Exponential Random Graph Models (ERGM). Based on an analytical model that incorporates endogenous variables (reciprocity, simple connectivity, popularity, activity, triangulation) and exogenous variables (gender, socioeconomic status, cultural capital, social capital) to explain the formation of the academic networks, the results show that the most important variables to explain the academic networks were the endogenous variables (especially reciprocity and triangulation) over the exogenous component, which could indicate that the micro-social relationships configured, at least in part, independently to the characteristics of the students. Theresults also indicate the existence of complex relationships within the classroom, and some interesting differences between the schools in social and cultural variables, which could indicate that some patterns of social distinction are relevant in academic interactions within the classroom.
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Keywords
Analisis de redes sociales, ERGM, Redes académicas, Segregación escola, Social NetworksAnalysis, ERGM, Academic Networks, School Segregation