“…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.…”