Journal
TEACHING AND TEACHER EDUCATION
Volume 97, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tate.2020.103223
Keywords
Belonging; Social networks; Preservice teachers; Teacher education; Exponential random graph model; ERGM
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Belonging is a fundamental human need, but little work has explored its antecedents and outcomes in teacher education programs. This study used social network theory to examine tie formation in preservice teacher identification networks, finding that feelings of belonging, structural features, perceived similarities, and increased opportunities for interaction were all related to tie formation.
Belonging is a fundamental human need. Despite its importance, relatively little work has explored antecedents to and outcomes of sense of belonging in teacher education programs. Grounded in theory of social networks, we explored social processes related to belonging via the development of social ties in preservice teacher identification networks. We used exponential random graph models (ERGMs) and separable temporal ERGMs (STERGMs) to explore tie formation over one academic year. Feelings of belonging, structural features, perceived similarities (homophily), and increased opportunities for interaction (propinquity) were all related to tie formation in the network. (C) 2020 Elsevier Ltd. All rights reserved.
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