Amid budget constraints and the need for a skilled workforce, policymakers explore ways to increase post-secondary education. Barriers for low-income students include achievement, financial, and informational hurdles. Previous research tackled financial obstacles, but recent attention focuses on information barriers. Researchers analyzed if ACT score reports, signaling college readiness in subjects, influenced college enrollment decisions among Colorado students. By comparing those near readiness cutoffs, we assessed the impact of this information. Surprisingly, they found no influence on college enrollment. This could stem from the students' status (near readiness thresholds) or the information’s lack of application guidance. Possible reasons for this could be students already knowing their readiness, the information not being highlighted, or coming too late for impactful changes. These findings suggest the need for clearer, timely, and supported information interventions to drive students’ college-going decisions.

In the U.S., school performance is a pressing concern, leading to policies like grade retention for struggling students. Several factors influence retention, including poverty, behavioral issues, and academic struggles. However, methodological flaws in previous studies have hindered a clear understanding of these predictors. A new study used robust methods and data from the Early Childhood Longitudinal Study–Kindergarten Cohort to analyze grade retention predictors. It found that academic readiness, particularly in reading, math, and general knowledge, strongly influenced retention, surpassing previously identified risk factors like ethnicity, English proficiency, and poverty. Interestingly, once readiness was considered, these traditional risk factors showed no significant influence. Notably, grade retention tended to occur most often by third grade. Researchers provide crucial insights for educators and policymakers to identify and support at-risk students earlier, emphasizing the importance of academic readiness in preventing grade retention.

The investigation into how education-related research is conveyed in the media revealed a stark reality: a mere 1% of the examined news pieces referred to any research, and only a small fraction cited peer-reviewed academic studies. The majority of cited research sources came from government agencies or local districts. Challenges included time constraints for journalists, their difficulties understanding academic research methodologies, and a general lack of education in research literacy among those in the journalism field. Localism and a preference for easily understandable local content heavily influenced the selection of research cited. Additionally, education journalism lacks the structured training available in science journalism. Unlike science fields, education research is context-dependent, less definitive, and often lacks substantial funding or promotional support, leaving researchers to independently publicize their work. Despite potential flaws, peer-reviewed studies serve as a quality control measure. The study highlighted that the research-based evidence in the media might not represent the most robust or crucial work in the field, urging policymakers and the public to acknowledge the limitations of the research presented in news media.

Researchers studied public alternative high schools for at-risk students in the United States and how school staffing and processes relate to graduation rates. They analyzed national data and found significant links between certain factors and graduation rates. Hispanic teachers positively impacted graduation rates, while certain school practices like offering summer academic programs, having consistent teachers, and avoiding traditional grading systems positively affected graduation rates as well. Conversely, practices like traditional grading or having discipline-based departments negatively affected graduation rates. These findings emphasize the need for tailored approaches in alternative schools, highlighting the importance of specific staffing and flexible school structures for at-risk students. It suggests a shift from conventional methods toward more adaptable, student-centered practices to improve the effectiveness of alternative education for at-risk high school students.

California has achieved record-high high school graduation rates, but this success doesn't guarantee readiness for postsecondary education. Even students entering California State University often require remediation. National reports, like ACT's, reflect this trend with only a quarter meeting college-readiness benchmarks. While educators acknowledge this issue, the education system remains focused on completion rather than preparing students for what comes after high school. To bridge this gap, a new approach centered on readiness over completion is crucial. Traditional college-readiness evaluations, emphasizing grades and test scores, neglect crucial aspects. To address this, a middle school college-readiness index was developed, integrating diverse factors beyond academics—motivation, behavior, and social engagement—to predict high school outcomes. Surprisingly, eighth-grade indicators predict SAT college-readiness with 88% accuracy, highlighting the significance of non-academic factors. This research underscores the importance of early intervention and a holistic approach to student preparation. It suggests a shift in educational focus toward comprehensive indicators, away from the sole emphasis on grades and tests. By adopting this paradigm shift, the education system can better equip students for postsecondary success, essential in addressing growing economic disparities and realizing the educational system's promise as an equalizer in society.

A current study is exploring the impact of additional literacy classes on average-performing middle school students, aiming to enhance their high school performance and college readiness. In a suburban district with diverse demographics, students were offered extra literacy courses if they scored below the 60th percentile in 5th-grade literacy. While the initial analysis suggested no significant impact, further investigation revealed contrasting effects based on race. Black students experienced notably negative effects, especially in predominantly white schools, seen across both state tests and national measures. Conversely, white, Latino, and Asian students showed uncertain but potentially positive impacts. These findings stress the need for tailored approaches in educational programs, indicating potential harm for initially average-literacy students. The study highlights the complexity of policy outcomes when implemented at school levels, urging policymakers to consider diverse student populations in policy design and implementation. It also underscores the importance of clear communication about policy intent and the unintended consequences of categorizing students based on criteria like cutoff scores.

New research investigates early absenteeism in elementary school, particularly in kindergarten, exploring factors contributing to chronic absence. While existing studies focus on individual and family-level drivers like disengagement and family structure, limited attention has been given to how early childhood programs might impact absenteeism. Analyzing a national dataset, a study reveals that attending center-based care before kindergarten associates with lower chronic absenteeism in kindergarten. However, this link isn't observed when attending such care during the kindergarten year, suggesting that pre-kindergarten experiences shape school attendance more than concurrent reinforcement during kindergarten. Chronic absenteeism affects California's educational and social systems, leading to significant costs and limiting children's potential. The findings emphasize the influential role of early childhood programs in reducing absenteeism, urging a shift from identifying contextual factors to implementing early interventions to counteract this detrimental behavior. This study's insights offer valuable data to inform truancy reduction initiatives and discussions on preventive measures.

Immigration has surged in the U.S., leading to increased numbers of Limited English Proficient (LEP) children in public schools. States like North Carolina and Virginia have seen a doubling of LEP students in the last 15 years, with over 10% of students classified as LEP. The linguistic diversity among LEP students is vast, with Spanish, Indo-European, Asian, and Pacific Island languages being the primary spoken languages at home. This diversity in classrooms can have both positive and negative effects on student achievement. A study conducted in North Carolina middle schools from 2006 to 2012 found that an increase in LEP peers, about two students per classroom, correlated with a decline in mathematics and reading scores for non-LEP students, suggesting a negative impact. However, the mix of languages spoken by LEP students did not significantly affect the achievement of non-LEP students. For LEP students, having more peers speaking the same language positively affected reading but negatively affected mathematics achievement. The study suggests separating LEP and non-LEP students for language arts may benefit both groups, but the effects on mathematics instruction are less straightforward and might adversely affect LEP students.

The shortage of women in STEM fields has sparked considerable attention due to its impact on the STEM workforce. Despite being the majority in colleges, women remain a minority among STEM degree holders, leading researchers to focus on their underrepresentation in these critical fields. The prevailing literature primarily examines the influence of college faculty gender on STEM outcomes, neglecting the crucial pre-college setting's role in shaping students' STEM choices. This NSF-funded study, using data from North Carolina public schools and universities, delves into the impact of the gender composition of high school math and science teachers on students' decisions to pursue STEM majors in college. Findings indicate a notable positive effect of a higher proportion of female math and science teachers on the likelihood of female students declaring and graduating with STEM degrees, particularly among those with strong math skills. This influence doesn't extend to male students, suggesting that schools with more female STEM teachers positively disrupt stereotypes, making STEM fields more appealing specifically to high-skilled young women without significantly affecting their male counterparts. The research highlights the significance of early educational opportunities challenging gender stereotypes in math and science, potentially cultivating a larger cohort of women pursuing STEM careers and challenging outdated perceptions about STEM being unsuitable for women.

Enrichment programs, such as arts education, often face cuts in K–12 schools where language arts and math take precedence due to standardized testing. Despite this, evidence supports the long-term benefits of the arts on college access, academics, and civic engagement. Integrating arts into school curricula is seen as a solution, yet there is limited research on its widespread implementation. Inner-City Arts collaborates with LAUSD through Learning and Achieving Through the Arts (LATA), where teachers learn various art forms alongside students, supported by professional development linking arts experiences with literacy. LATA aims to enhance English language skills, especially for marginalized groups like English Language Learners (ELLs), by promoting arts-based learning, teacher training, and teacher-artist collaborations for innovative lesson plans. A study comparing LATA-integrated schools with standalone arts instruction revealed significant gains in standardized English Language Arts (ELA) proficiency, particularly among ELL students, emphasizing the vital role of arts integration in academic achievement. Policymakers and investors interested in educational reform should prioritize integrated arts models and teacher development, as demonstrated by the LATA approach, which offers a holistic pathway to improve academics applicable in diverse urban districts.

The persistence of high school dropout rates, especially among low-income and minority students, remains a concern despite recent declines. Targeting student engagement as a key prevention method, studies examine whether in-school arts participation can reduce dropouts. Research based on Texas high school data suggests that students engaged in arts courses face a lower dropout risk. However, caution is necessary as this correlation doesn't confirm causation. Factors like student background and unobserved characteristics may influence both arts participation and dropout behavior. While controlling for various student and school factors reduces dropout risk associated with arts participation, it doe not eliminate it entirely, suggesting a potential causal link. Presently, evidence doesn't explicitly advocate for investing solely in arts education to tackle dropout rates. Yet, it warns against abrupt cuts in arts budgets, stressing the need for a deeper understanding of how robust arts programs engage at-risk students. Despite fiscal pressures leading to cuts in arts education, mounting evidence, including controlled trials, underscores the value of arts in public school curricula, urging policymakers to consider these findings when making decisions.

Addressing the academic achievement gap among minority and low socioeconomic status students, especially in majority-minority states like California and Texas, has gained attention regarding language variety as a potential factor. A study reviewed by Educational Policy presents recommendations for state policymakers based on a Texas Legislature-commissioned study. This study urges recognizing students who speak language varieties other than standard English as Standard English Learners (SELs), highlighting their unique educational needs. The expert panel offers five key recommendations: enhancing educators’ understanding of language diversity, teaching strategies for students to acquire standard English, integrating language variety into curricula, and fostering a tolerant environment among stakeholders. The study emphasizes the necessity of increasing teacher capacity to identify and support SELs in classrooms, proposing considerations and strategies for states or local education agencies (LEAs) to design effective programs and policies. The report advocates for legislative and administrative actions to equip teachers for specialized instruction to meet the needs of SELs and ensure policy success.

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.

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.

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.