College graduation rates in the U.S. are low, prompting interest in solutions like "summer bridge" programs, where students take pre-academic year courses. Some attribute low graduation rates to poor academic readiness and slow academic progress. Research shows higher course-taking rates improve graduation chances. Summer bridge programs address these concerns. Analyzing nationally representative college data and a large university system, a new study uses propensity score matching to assess these programs' effects. Nationally, bridge program attendees at community colleges and less-selective four-year colleges were 10% more likely to graduate within six years. Effects were more pronounced among black/Hispanic, first-gen, and lower GPA students. University data revealed immediate benefits—better retention, course performance, and credit completion. While bridge programs aid graduation, institutions should evaluate existing programs before expanding, considering mixed findings elsewhere. Addressing specific academic barriers, like remedial sequences, enhances immediate benefits, showcasing bridge programs as part of a larger strategy to boost graduation rates.

Head Start, the primary federally-funded preschool program in the U.S., serving over 1 million children yearly, emphasizes not just child education but also parental engagement and growth. However, research traditionally prioritizes children’s outcomes over parents’. Leveraging the Head Start Impact Study (HSIS)—the comprehensive evaluation and reporting program initiated in 1998—a new study explores if children’s participation in Head Start affects parents' education and employment. HSIS found short-term benefits for kids, fading by third grade, stirring doubts about long-term effectiveness. Research analysis, considering the family as a unit, discovered that parents of 3-year-olds in Head Start showed greater educational advancements by kindergarten compared to the control group. This effect was particularly pronounced for parents with some college but no degree and African American parents. These findings highlight Head Start's potential to support parents' educational pursuits, offering quality childcare, support networks, and pathways to higher education. This underscores how early education programs like Head Start can bolster parental growth alongside children's development, potentially influencing other similar programs.

Educators face growing pressure to utilize data for informed decision-making, yet the research supporting this movement remains underdeveloped. A recent Educational Administration Quarterly article delves into organizational factors influencing data use, drawing from four California school systems. Across traditional districts and charter management organizations (CMOs), state and federal accountability systems heavily shape data use. These systems prioritize data from state assessments and benchmark exams, crucial for program improvement and attracting families in charter schools. Organizational conditions, like decision-making structures, financial resources, and regulatory environments, impact resource allocation for data use. While financial constraints universally limit efforts, CMOs’ decentralized structures enable investments in human capital and technology. These findings highlight tensions arising from diverse accountability demands and propose revisiting metrics underpinning success. They also suggest avenues for sharing best practices, such as districts aiding teacher support while CMOs demonstrate advanced data management systems. Policymakers can leverage these insights to navigate accountability complexities and foster cross-system learning.

Current approaches to determining college readiness often rely on standardized placement tests in math and English, leading to nearly half of community college students being placed into remedial classes. However, research suggests that a significant portion of students placed in remediation based on these tests could succeed in college-level courses. By examining high school performance alongside placement test scores, studies have shown that using high school achievement data could significantly reduce placement errors and improve success rates in college-level courses. Integrating high school grades in placement decisions has demonstrated remarkable success, with programs like Long Beach City College’s Promise Pathways quadrupling placement rates in college English courses and significantly increasing completion rates in both English and math. These findings have influenced California’s community college system, prompting a shift toward multiple measures for placement, offering a more equitable and effective approach to remedial education. The adoption of a nuanced placement system utilizing various academic measures shows promise for improving outcomes and fairness in remediation.

Education policies often focus on evaluating the effectiveness of interventions without considering their costs. This oversight limits policymakers’ ability to make informed decisions about resource allocation. Understanding intervention costs in relation to their effectiveness is crucial for efficient policymaking. For instance, reducing high school dropout rates, a national priority, could alleviate substantial economic burdens, yet education budgets are limited. Researchers conducted cost-effectiveness analyses on five dropout prevention programs, finding considerable variations in costs and effectiveness. Remedial programs aimed at dropouts were notably more expensive per additional graduate compared to preventative programs, which targeted at-risk students still in school. These findings emphasize the need for cost-effectiveness assessments in educational program evaluations to guide policymaking effectively. Without such analyses, research evidence alone may not provide policymakers with a comprehensive view for decision-making, potentially leading to inefficient resource allocation.