Exploring Student Achievement Gaps in School Districts Across the United States

2019 ◽  
Vol 52 (2) ◽  
pp. 175-193 ◽  
Author(s):  
Man Hung ◽  
William A. Smith ◽  
Maren W. Voss ◽  
Jeremy D. Franklin ◽  
Yushan Gu ◽  
...  
Keyword(s):  
United States ◽  
Student Achievement ◽  
Adult Education ◽  
School Districts ◽  
Racial Inequality ◽  
English Language ◽  
The United States ◽  
Achievement Gaps ◽  
Education Attainment ◽  
High Resource

This study examined factors contributing to achievement gaps between White and African American students in 2,868 diverse school districts across the United States. Using pooled data across five school years (2008-2013), six grade levels (grades third to eighth, which typically include students aged 8 years-14 years) and two different subjects (math and English language), descriptive, correlational, and multiple linear regressions were used to identify relevant factors in predicting an achievement gap. Achievement gaps were largest in the south and southwest United States. In addition, results indicate that economic inequality, racial inequality, and household adult education attainment are strongly associated with Black/White student achievement gaps. School-based factors such as per pupil expenditures and teacher/student ratios were not significant predictors. Household adult education attainment was the most significant contributor to achievement gaps, with higher levels of adult education associated with larger achievement gaps, implying that high resource communities may create additional barriers for minority students.

Working With Interpreters to Support Students Who Are English Language Learners

2016 ◽  
Vol 1 (16) ◽  
pp. 15-27 ◽  
Author(s):  
Henriette W. Langdon ◽  
Terry Irvine Saenz
Keyword(s):  
United States ◽  
English Language Learners ◽  
Language Learners ◽  
English Language ◽  
First Language ◽  
The United States ◽  
The Other ◽  
Primary Language ◽  
Second Best ◽  
Support Students

The number of English Language Learners (ELL) is increasing in all regions of the United States. Although the majority (71%) speak Spanish as their first language, the other 29% may speak one of as many as 100 or more different languages. In spite of an increasing number of speech-language pathologists (SLPs) who can provide bilingual services, the likelihood of a match between a given student's primary language and an SLP's is rather minimal. The second best option is to work with a trained language interpreter in the student's language. However, very frequently, this interpreter may be bilingual but not trained to do the job.

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

Introduction

2018 ◽  
Author(s):  
Andrew Valls
Keyword(s):  
United States ◽  
Public Policy ◽  
Social Construction ◽  
Political Theory ◽  
Racial Inequality ◽  
The United States ◽  
Racial Justice ◽  
Color Blind ◽  
American Society ◽  
Liberal Political Theory

The persistence of racial inequality in the United States raises deep and complex questions of racial justice. Some observers argue that public policy must be “color-blind,” while others argue that policies that take race into account should be defended on grounds of diversity or integration. This chapter begins to sketch an alternative to both of these, one that supports strong efforts to address racial inequality but that focuses on the conditions necessary for the liberty and equality of all. It argues that while race is a social construction, it remains deeply embedded in American society. A conception of racial justice is needed, one that is grounded on the premises provided by liberal political theory.

Amidst pandemic and racial upheaval: Where Asian Americans Fit

2020 ◽  
pp. 1-17
Author(s):  
Whitney Hua ◽  
Jane Junn
Keyword(s):  
United States ◽  
Asian Americans ◽  
Racial Inequality ◽  
White Supremacy ◽  
The United States ◽  
Structural Racism ◽  
Global Pandemic ◽  
American Capitalism ◽  
Racial History ◽  
History Of

Abstract As racial tensions flare amidst a global pandemic and national social justice upheaval, the centrality of structural racism has renewed old questions and raised new ones about where Asian Americans fit in U.S. politics. This paper provides an overview of the unique racial history of Asians in the United States and analyzes the implications of dynamic racialization and status for Asian Americans. In particular, we examine the dynamism of Asian Americans' racial positionality relative to historical shifts in economic-based conceptions of their desirability as workers in American capitalism. Taking history, power, and institutions of white supremacy into account, we analyze where Asian Americans fit in contemporary U.S. politics, presenting a better understanding of the persistent structures underlying racial inequality and developing a foundation from which Asian Americans can work to enhance equality.

The Myth of the Latin American Race Monolith: Notes for Future Comparative Research on Racial Inequality in the Americas

2021 ◽  
pp. 003464462199600
Author(s):  
Diego Ayala-McCormick
Keyword(s):  
United States ◽  
Puerto Rico ◽  
Latin American ◽  
Comparative Research ◽  
Racial Inequality ◽  
Census Data ◽  
The United States ◽  
Unemployment Rates ◽  
Racial Ideologies ◽  
Racial Lines

It has become common to compare racial inequality in the United States with a “Latin American” pattern of racial inequality in which egalitarian racial ideologies mask stark socioeconomic inequalities along racial lines. However, relatively few comparative studies exist attempting to analyze variations in degrees of racial inequality in the Americas. To stimulate further research in this area, the following study analyzes census data on racial inequality in unemployment rates, educational attainment, homeownership rates, and income in Brazil, Colombia, Cuba, Puerto Rico, and the United States. The results suggest that while Brazil is similar to the United States in displaying large levels of racial inequality in the areas measured, Cuba and Puerto Rico display significantly lower levels of racial inequality and Colombia falls in between, undermining conceptions of a monolithic Latin American racial system.

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