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This study contributes to a growing body of scholarship at the intersection of bilingual education and education policy and examines reclassification, or the transition out of formal English language services in schools, as one potential lever in accelerating or decelerating multilingual learners' science learning. More specifically, it traces multilingual learners' science academic achievement vis‐à‐vis science test scores over a six‐year period using the nationally‐representative Early Childhood Longitudinal Study of 2010–11 (ECLS‐K:2011) data set. We use regression analyses with panel data to explore the relationship of reclassification with MLs' science achievement at a national scale, and then, how variation in contextual factors (including family, school, and individual characteristics) shapes this relationship. Results show that, after controlling for covariates and prior test scores, reclassification is not significantly associated with differential science test scores when compared to students that retain their EL status. Results further show that reclassification is associated with higher science achievement for MLs who were previously in a dual‐language program but lower scores for those with higher prior achievement. We conclude with implications for the reclassification process, as well as directions for future research on reclassification, multilingual learners, and academic achievement. [ABSTRACT FROM AUTHOR]

As linguistic diversity continues to increase in the United States public school system, schools are expected to meet the needs of their ever‐changing student body. While much attention within education research has understandably focused on multilingual learners' (MLs) English language acquisition, an emergent body of work points to science as an important subject for attention among elementary MLs. We suggest that understanding what science and language inputs are afforded to MLs in schools can contribute to understanding the needs and opportunities for enhancing MLs' science learning. This study leveraged nationally representative data from the Early Childhood Longitudinal Study of 2010–2011 to explore the science and language inputs available to MLs in elementary school. Using descriptive statistics, our analysis of science and language inputs provides evidence on what MLs have, or do not have, access to inside of their schools. Science inputs appear to be relatively evenly distributed across classrooms serving non‐MLs, MLs, and subgroups therein. In comparison, language inputs are differentially distributed across ML subgroups, but they are distributed in ways that may align with student needs. However, while the science inputs do not necessarily vary across subgroups, the language inputs do, and this may affect how students can engage with science inputs. In understanding what science and language inputs MLs are afforded, this study provides a foundation for how to improve formal learning environments for them, especially regarding science learning. [ABSTRACT FROM AUTHOR]

We present data from the Schools and Staffing Survey and the National Teacher and Principal Survey to document the prevalence of instructional coaching programs (ICPs) and consider how ICPs are distributed by school level, urbanicity, new teachers in a school, student enrollment, school poverty levels, student achievement levels, and state. We show that ICPs are most common in elementary schools, schools located in cities, schools with larger proportions of new teachers, larger schools, schools enrolling larger fractions of economically disadvantaged students, and schools with lower student achievement levels. Additionally, more affluent and higher achieving schools experienced the sharpest increase in ICPs over time. [ABSTRACT FROM AUTHOR]

Research using school discipline and infraction data has contributed to public policy conversations by helping elucidate the effects of and disproportionate experience of school disciplinary outcomes. This research brief presents results from an analysis of the public availability of such data from state departments of education. Findings suggest that while public availability of discipline data has not changed significantly over the past decade, states are more likely to disaggregate such data by subgroups. Unfortunately, such data remain generally focused on a small number of exclusionary practices rather than nonpunitive or nonexclusionary alternatives. Infraction data are slightly less available than discipline data and significantly less likely to be disaggregated by subgroup. [ABSTRACT FROM AUTHOR]