The high school dropout issue carries significant societal and personal costs, impacting unemployment, lower income, mental health, and crime rates among dropouts. Despite its gravity, there's a lack of comprehensive data on effective interventions or policies addressing this problem. Existing research primarily identifies risk factors and describes interventions, but lacks strong experimental evidence. A systematic review examined characteristics of dropout interventions and effective policy/practice components. It highlighted a mismatch between known risk factors and intervention focus, often centered on individual student-level efforts. The review suggested that many dropouts disengage from school over time, urging interventions tailored to diverse subgroups. However, current studies lack subgroup-specific intervention analyses. Researchers propose a tiered prevention approach, yet empirical evidence supporting this method remains scarce. While experts advocate school-level interventions, empirical research doesn't offer clear guidance on matching interventions to specific risk factors or subgroups. This gap challenges the integration of dropout interventions into comprehensive frameworks, hindering effective and efficient solutions.

The influx of mid-career entrants into teaching has drawn attention due to its potential to address teacher shortages and diversify the workforce. However, recent research reveals that while mid-career entrants constitute a significant portion of new teachers, their impact on filling vacancies in subjects like secondary math and science remains limited. These entrants tend to join elementary rather than secondary classrooms, challenging assumptions about their subject preferences. Although they increase gender and racial diversity, they have not significantly altered the overall demographic makeup of the teacher workforce. Recruiting more mid-career entrants alone won't substantially diversify teaching; specific efforts targeting men and minority groups are necessary. Schools must adapt induction programs to support these entrants effectively, acknowledging their prior expertise but possibly requiring additional assistance with teaching practicalities, especially if they've entered through fast-track programs with limited classroom experience. Leveraging the professional skills of mid-career entrants, such as technological expertise or community networking, could benefit schools and encourage these entrants to remain in teaching longer-term.

The process of applying and enrolling in college is increasingly expensive and time-consuming, yet students often make less-than-ideal decisions during this crucial phase. Recent studies have shown that students tend to apply to too few colleges, and high-achieving, low-income students often miss out on better-suited options. A new research paper, "Screening Mechanisms and Student Responses in the College Market," explores how seemingly minor factors—such as college application essays and fees—impact student behavior. Analyzing data from 885 four-year colleges between 2003 and 2011, a new study reveals that the requirement of application essays increased to around 57%, while approximately half of colleges raised their application fees by an average of 30% (around $10). The research shows that colleges introducing essays experienced a 6.5% decrease in applications, while a 10% fee increase correlated with a 1% reduction in applications. This highlights that even small changes significantly influence student decisions in the college application process, emphasizing the importance of these procedures for students, colleges, and policymakers.

Researchers explore the journey of Latino English learner (EL) students toward reclassification, a significant milestone shifting them from specialized language services to mainstream classes. Data from a 12-year period in a major urban district examined progress toward reclassification among different language programs. A new study finds that Latino EL students in bilingual programs take longer to be reclassified but show higher reclassification and proficiency rates by high school. While it takes longer, a greater proportion of students in bilingual programs eventually become proficient in English and are reclassified compared to those in English immersion programs. These findings suggest the need for districts to assess the effectiveness of bilingual instruction over time and consider different benchmarks for instructional models based on language of instruction. Additionally, the study emphasizes the importance of EL programs ensuring full access to rigorous content and interaction with English-speaking peers, suggesting that English language development should not limit enrollment in other classes and should be integrated into content area classes.

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.