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Using Epistemic Network Analysis to Understand the Intersectional Experiences of Teachers of Color in White-Dominated Education Institutions

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Advances in Quantitative Ethnography (ICQE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1895))

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Abstract

This paper explores the experiences of preservice teachers of color completing teacher preparation historically white university. Drawing on critical race theory (CRT), this paper foregrounds intersectionality of participants’ various and intersecting identities, using epistemic network analysis (ENA) to represent connections between participants’ identities and senses of belonging within the context of their programs. ENA presents a unique opportunity to visually represent the connections between participants’ experiences and multiple salient identities simultaneously, minimizing the risk of essentialism and tokenization. Results of this intersectional analysis of preservice teachers of colors’ (PSTOC) experiences and implications for teacher education suggest that PSTOC experiences of belonging in teacher preparation can be understood through program interactions and that PSTOC social identities influence the ways they approach and make sense of their experiences. Further implications for the utility of ENA as a tool for understanding identity and intersectional experiences are offered.

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Correspondence to Adina Goldstein .

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Goldstein, A., Remillard, J. (2023). Using Epistemic Network Analysis to Understand the Intersectional Experiences of Teachers of Color in White-Dominated Education Institutions. In: Arastoopour Irgens, G., Knight, S. (eds) Advances in Quantitative Ethnography. ICQE 2023. Communications in Computer and Information Science, vol 1895. Springer, Cham. https://doi.org/10.1007/978-3-031-47014-1_16

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  • DOI: https://doi.org/10.1007/978-3-031-47014-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-47013-4

  • Online ISBN: 978-3-031-47014-1

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