2021
DOI: 10.1002/tea.21684
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Retiring the term English language learners: Moving toward linguistic justice through asset‐oriented framing

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Cited by 38 publications
(37 citation statements)
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“…The education of MLs in content areas is a prime case of this shift from a deficit‐oriented view to an asset‐oriented view (González‐Howard & Suárez, 2021; Lee et al, 2013; National Academies of Sciences, Engineering, and Medicine [NASEM], 2018; also see Rivera Maulucci & Mensah, 2015). Traditional approaches to ML education in the content areas focused on what MLs are lacking (i.e., English language proficiency) and how to fix this problem, for example, by preteaching and frontloading vocabulary as a precursor or prerequisite for MLs to participate in content area learning.…”
mentioning
confidence: 99%
“…The education of MLs in content areas is a prime case of this shift from a deficit‐oriented view to an asset‐oriented view (González‐Howard & Suárez, 2021; Lee et al, 2013; National Academies of Sciences, Engineering, and Medicine [NASEM], 2018; also see Rivera Maulucci & Mensah, 2015). Traditional approaches to ML education in the content areas focused on what MLs are lacking (i.e., English language proficiency) and how to fix this problem, for example, by preteaching and frontloading vocabulary as a precursor or prerequisite for MLs to participate in content area learning.…”
mentioning
confidence: 99%
“…Education can maximize the experiences that Eng+ students already bring to the classroom, framing language backgrounds as assets and not deficits, as Eng+ students are a diverse group of learners who bring unique multilingual perspectives to the classroom. Moreover, persistent deficit-framing can limit Eng+ students engagement in science learning experiences (González-Howard & Suárez, 2021;O. Lee, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Other demographic factors may have contributed to how participants responded, including grade-point average, socioeconomic status, racial/ethnic background, immigrant/newcomer status, based on previous research (Afitska & Heaton, 2019;González-Howard & Suárez, 2021;LaCosse et al, 2020;O. Lee, 2005).…”
Section: Limitationsmentioning
confidence: 99%
“…Other demographic factors may have contributed to how participants responded, including grade-point average, socioeconomic status, racial/ethnic background, immigrant/newcomer status, based on previous research (Afitska & Heaton, 2019;González-Howard & Suárez, 2021;LaCosse et al, 2020;Lee, 2005).…”
Section: Limitationsmentioning
confidence: 99%