Developmental education is the most common approach used by community colleges to assist underprepared students for college-level course work. Yet there is limited evidence regarding this strategy on students assigned to the lowest level of the developmental sequence. This paper extends current knowledge on this critical question by examining the impacts of different levels of developmental reading and writing on students’ academic outcomes. The results suggest that the impacts are generally insignificant for students on the margin of needing developmental course work, yet the estimates are negative on students assigned to the lowest level of the developmental sequence. The results therefore support the increasing national push to reform these programs.
Early studies examining seasonal variation in academic achievement inequality generally concluded that socioeconomic test score gaps grew more over the summer than the school year, suggesting schools served as "equalizers." In this study, we analyze seasonal trends in socioeconomic status (SES) and racial/ethnic test score gaps using nationally representative data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 (ECLS-K:2011), which includes more school-year and summer rounds than previous national studies. We further examine how inequality dynamics are influenced by the operationalization of inequality. Findings are consistent with a story in which schools initially accelerate relatively lower-achieving groups’ learning more so than higher-achieving groups; however, this school-year equalizing is not consistently maintained and sometimes reverses. When operationalizing inequality as changes in relative position, the reversal of school-year equalizing is more pronounced.
An analysis was conducted of the What Works Clearinghouse (WWC) research evidence base on the effectiveness of replicable education interventions. Most interventions were found to have little or no support from technically adequate research studies, and intervention effect sizes were of questionable magnitude to meet education policy goals. These findings painted a dim picture of the evidence base on education interventions and indicated a need for new approaches, including a reexamination of federal reliance on experimental impact research as the basis for gauging intervention effectiveness.
The demographic divide between teachers and students is of growing public concern. However, few studies have explicitly addressed the common argument that students, and particularly minority students, have more favorable perceptions of minority versus White teachers. Using data from the Measure of Effective Teaching study, we find that students perceive minority teachers more favorably than White teachers. There is mixed evidence that race matching is linked with more favorable student perceptions. These findings underscore the importance of minority teacher recruitment and retention.
Massive funding cuts to public education took place around the country following the Great Recession. Many school districts were forced to conduct teacher layoffs at a larger scale than any other time in recent history. We show that prior to a district intervention, the layoff process disproportionately impacted historically disadvantaged students in the Los Angeles Unified School District. We then demonstrate the success of a policy designed to reduce inequality in the distribution of teacher layoffs.
For decades, researchers have documented large differences in average test scores between minority and White students and between poor and wealthy students. These gaps are a focal point of reformers’ and policymakers’ efforts to address educational inequities. However, the U.S. public’s views on achievement gaps have received little attention from researchers, despite playing an important role in shaping policymakers’ behaviors. Drawing on randomized experiments with a nationally representative sample of adults, we explore the public’s beliefs about test score gaps and its support for gap-closing initiatives. We find that Americans are more concerned about—and more supportive of proposals to close—wealth-based achievement gaps than Black-White or Hispanic-White gaps. Americans also explain the causes of wealth-based gaps more readily.
This article analyzes how the Obama administration used executive power to grant waivers from federal education policies and assesses whether they used this power differently than previous administrations and in other sectors (e.g., health or welfare). The executive use of waivers to shape state policy is not a new trend. However, we find that recent education waivers differ in purpose and specificity from past education waivers, as well as waivers in other social policy arenas, and that the Obama administration is using this executive power to further its policy objectives in ways that often circumvent congressional intent. As the executive branch continues to utilize waivers as a policy lever, this research has important implications for the future of federal involvement in educational policy and provides critical background for Congress’s reaction to waivers in the recently reauthorized Elementary and Secondary Education Act.
Accurately measuring and modeling academic achievement growth is critical to support educational policy and practice. Using a nationally representative longitudinal data set, this study compared various models of mathematics achievement growth on the basis of both practical utility and optimal statistical fit and explored relationships within and between early and later mathematics growth parameters. Common patterns included a summer lag in achievement between kindergarten and Grade 1 and an association between achievement at kindergarten entry and later achievement. Notably, there were no statistically significant relationships between early and later rates of growth, and there was minimal variability in achievement growth in the late elementary and middle school grades. Challenges related to assessing academic achievement in the middle grades and modeling academic skill development are discussed.
The role that racial identity plays in the well-being, educational achievement, and life outcomes of Black youth has received tremendous attention from the early post-slavery years right up until today, and remains a surprisingly contested area of study. We call for the examination of why images of Black racial identity as "damaged" and "dangerous" persist despite scores of studies that demonstrate otherwise. Despite a proliferation of theories suggesting a "damaged" Black psyche and suspicion about its value to Black youth, we find the history of research about Black racial identity reveals robust and consistent evidence that Black racial identity is linked to a broad range of positive outcomes from measures of well-being—including greater resilience, coping with discrimination, higher academic performance, greater commitment to education, and improved educational outcomes on a number of measures. Given this, we question why Black identity has been so controversial and why, 150 years after the end of legalized Black slavery, theories suggesting the "danger" of Black racial identity still hold so much power with both lay and professional audiences.
Prevalence of academic risk (PAR) group profiles provide data enabling empirically based group-specialized prescriptions for targeted academic success interventions to increase student retention, completion, and graduation rates, while improving allocation of institutional resources. Postsecondary student attrition engenders student debt, shortages of highly trained professionals, and inadequate workforce diversity. Diagnostic PAR profiles, employing a proactive Diagnosis Prescription Intervention Evaluation Model adapted from clinical medicine, enable empirically targeted, group-specialized, student-success interventions. Two-step cluster analysis of survey responses from 512 students entering first-semester urban health science community college differentiated three PAR-profile groups: (a) traditional, (b) language/education/financially challenged, and (c) older/supporting families/financially challenged. The latter two groups’ end-of-first-semester odds of adverse academic status events were, respectively, 1.73 (p = .016) and 2.08 (p = .002) times the traditional group’s. PAR profiles enable empirically based group-tailored interventions for increasing student retention, completion, and graduation rates, while improving allocation of institutional resources.
Analyzing data from two nationally representative kindergarten cohorts, we examine the mathematics content teachers cover in kindergarten. We expand upon prior research, finding that kindergarten teachers report emphasizing basic mathematics content. Although teachers reported increased coverage of advanced content between the 1998–1999 and 2010–2011 school years, they continued to place more emphasis on basic content. We find that time on advanced content is positively associated with student learning, whereas time on basic content has a negative association with learning. We argue that increased exposure to more advanced mathematics content could benefit the vast majority of kindergartners.
Disparities in science achievement across race and gender have been well documented in secondary and postsecondary school; however, the science achievement gap in the early years of elementary school remains understudied. We present findings from the recently released Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 that demonstrate significant gaps in science achievement in kindergarten and first grade by race/ethnicity. We estimate the Black-White science gap in kindergarten at –.82 SD but find only a small gender gap by first grade. Large disparities between Asian student performance in science as compared to mathematics and reading are documented. Student background characteristics and school fixed effects explain nearly 60% of the Black-White and Hispanic-White science achievement gaps in kindergarten. Implications for policy and practice are discussed.
As evidence becomes increasingly important in educational policy, it is essential to understand how research design might contribute to reported effect sizes in experiments evaluating educational programs. A total of 645 studies from 12 recent reviews of evaluations of preschool, reading, mathematics, and science programs were studied. Effect sizes were roughly twice as large for published articles, small-scale trials, and experimenter-made measures, compared to unpublished documents, large-scale studies, and independent measures, respectively. Effect sizes were significantly higher in quasi-experiments than in randomized experiments. Excluding tutoring studies, there were no significant differences in effect sizes between elementary and middle/high studies. Regression analyses found that effects of all factors maintained after controlling for all other factors. Explanations for the effects of methodological features on effect sizes are discussed, as are implications for evidence-based policy.
This article reports on the pioneering use in education of Discrete Choice Experiments (DCEs) to assess teachers’ decisions regarding deployment of rich tasks. The incorporation of this quantitative method into what is usually considered the domain of qualitative researchers is an innovative feature of this study. The DCEs enabled rigorous, reliable, and efficient investigation of the relationships between attributes of the complex environment in which teachers operate. The findings articulate the choices made by teachers related to rich task pedagogy, technology use, and other resources. Understanding the influences on these choices will inform the adoption and adaptation of productive technologies, improve dissemination of good practices, and enhance the design of digital technologies, resulting in better student learning outcomes.
Bruer advocated connecting neuroscience and education indirectly through the intermediate discipline of psychology. We argue for a parallel route: The neurobiology of learning, and in particular the core concept of plasticity, have the potential to directly transform teacher preparation and professional development, and ultimately to affect how students think about their own learning. We present a case study of how the core concepts of neuroscience can be brought to in-service teachers—the BrainU workshops. We then discuss how neuroscience can be meaningfully integrated into pre-service teacher preparation, focusing on institutional and cultural barriers.
The Federal Age Discrimination in Employment Act passed by Congress in 1986 eliminated mandatory age-related retirement at age 70. Initially, all postsecondary institutions were exempt from the Act. Based on a report by the National Research Council (NRC), which forecast only a minimal impact of this Act on higher education, the federal government allowed the exemption to lapse; effective December 31, 1993, faculty would no longer be subject to mandatory retirement for age. Our results of an empirical analysis on nearly four decades of faculty data (from 1981 to 2009) from a large private metropolitan research university in the northeast contradicts that forecast and shows the extent to which faculty retirement behavior has changed following the enactment of the Act and the lapse of the exemption for higher education faculty. Although only 11% of faculty who were subject to mandatory retirement remained after age 70 (perhaps those with special arrangements), we find after the law changed that 60% of faculty no longer subject to mandatory retirement are expected to remain employed beyond age 70 and 15% will retire at age 80 or over. This is a dramatic shift in retirement behavior, one that was not forecast by the NRC committee. Our results also show how many years after the prior mandatory retirement age of 70, faculty now remain at their institutions. We also offer suggestions as to some of the potential reasons (consistent with the literature) why, since the change in the law, some faculty wait longer than others to retire, but we do so primarily to spur discourse, as these factors are based on our understanding of this institution. Our findings are limited to this single institution and do not imply a general trend for all postsecondary institutions. Additional studies are recommended to determine whether uncapping has had a similar effect at other postsecondary institutions.
Several states have recently adopted or are pursuing policies that deny or revoke tenure from teachers who receive poor evaluation ratings over time based in part on quantitative measures of performance. Using data from the state of Florida, we estimate such value-added measures to consider the future effectiveness and number of teachers who would have been dismissed under different versions of these policies. Students assigned to teachers who would have been dismissed according to a value-added policy made considerably smaller academic improvements than did students assigned to teachers who would have avoided dismissal. Critically, however, we show that specific policy design determines the extent of the potential for value-added to improve the overall quality of the teaching workforce.
The authors use administrative data from three large urban school districts to describe student sorting within schools. Students are linked to each of their teachers and students’ classmates are identified. There are differences in the average achievement levels, racial composition, and socioeconomic composition of classrooms within schools. This sorting occurs even in self-contained elementary school classrooms and is much larger than would be expected were students assigned to classrooms randomly. Much of the racial and socioeconomic sorting is accounted for by differences in achievement, particularly at the high school level. Classrooms with the most low-achieving, minority, and poor students are more likely to have novice teachers. Sorting students by achievement level exposes minority and poor students to lower quality teachers and less resourced classmates.