Teaching Science Literacy for MLs: Examining Shifts in Teacher Practices to Make Science Accessible.
There is broad consensus among researchers and educators that locally contextualized, language-rich science and engineering-based instruction exploring scientific phenomena is essential to achieving access and rigor for all students, including multilingual learners (MLs), the fastest growing subset of the U.S. student population (NASEM, 2018; NCES, 2021). For this study, we are looking at what it means to teach language and content in an integrated manner to build science literacy in high school science classrooms that include ML students. As part of a 3-year, NSF-funded exploratory grant, this project aims to increase science literacy among MLs by implementing a model of professional learning (PL) for high school teachers in which they learn how to embed the Instructional Conversation (IC) pedagogy (Mellom, Hixon & Weber, 2019; Saunders and Goldenberg, 1999) within standards-aligned scientific and engineering practices (SEPs) (NGSS Lead States, 2013). Under this model, high school science teachers collaborate with high school ESOL teachers to co-develop and implement linguistically-sustaining instructional materials that provide MLs with intentionally scaffolded opportunities to use scientific dialogue as they collaborate to explain natural phenomena. This study examines how the PL experiences supported shifts in the teachers’ instructional practices to foster ML scientific literacy. Data includes: teacher reflection logs, teacher-generated artifacts (e.g. differentiated Task Cards, and multimodal, scaffolded lesson materials), rubric-based data (Luning & Wyatt, 2010), and field notes from classroom observations. The study uses thematic analysis (Braun & Clarke, 2006) and text analysis (Kuckartz, 2019) of these data to explore how the IC pedagogical strategies promote Teachers’ skills needed to enact three instructional shifts identified by the Next Generation Science Standards (NGSS) as particularly relevant to science teaching with MLs: asset-based science teaching with multilingual learners (MLs); integrated content and language instruction; collaboratively engaging MLs in Science and Engineering Practices (SEPs).
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