Beyond the classroom: proximity dynamics in the formation of academic bonds among university students
[EN] Social interactions among students have been a subject of interest for researchers aiming to enhance the management of social and academic networks, as well as to support students' learning process. While the literature acknowledges the overall benefits of these interactions, limited r...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/214545 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/214545 |
| Access Level: | acceso embargado |
| Palabra clave: | University students Academic relationships Student-student interaction Proximity effects Stochastic actor-oriented models (SAOM) ORGANIZACION DE EMPRESAS ECONOMIA FINANCIERA Y CONTABILIDAD 04.- Garantizar una educación de calidad inclusiva y equitativa, y promover las oportunidades de aprendizaje permanente para todos |
| Sumario: | [EN] Social interactions among students have been a subject of interest for researchers aiming to enhance the management of social and academic networks, as well as to support students' learning process. While the literature acknowledges the overall benefits of these interactions, limited research has focused on understanding the mechanisms behind the formation of academic bonds in higher education. This study addresses this research gap by proposing a comprehensive proximity framework to explore how students build their academic relationships at university, thereby overcoming past limited or unsatisfactory approaches. By conducting an empirical study based on survey data from undergraduate students in Spain and the use of social network analysis techniques and stochastic actor-oriented models, our results reveal a multi-dimensional influence of proximity on the dynamics of students' academic networks based on social, personal, residential, cultural and academic factors. These findings can inform interventions and strategies aimed at optimising academic support networks among university students, paving the way for further contributions in this research area. |
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