The Longitudinal Achievement of Chapter 1 Students: Preliminary Evidence From the Prospects Study

In this article, we document the longitudinal achievement growth of Chapter 1 students based on nationally representative data from the Prospects study. Focusing on various 2- and 3-year patterns of Chapter 1 participation, this study provides longitudinal and year-to-year comparisons between the reading and math achievements of Chapter 1 students and the achievements of their similar and more advantaged peers. Multilevel analyses of longitudinal learning rates revealed few differences between the growth trajectories of Chapter 1 students and their more advantaged peers. However, follow-up analyses indicated some evidence of greater yearly achievement gains for participants than similar nonparticipants. Overall, significant positive results generally were restricted to the more advantaged portion of the Chapter 1 population. Students with greater disadvantages, who participated in Chapter 1 continuously, were able to keep pace with their more advantaged peers, but they were unable to close substantial initial achievement gaps.     

Benefits of the Michiana Daily Mathtracks Programme for students living in poverty

This paper summarizes results from a math intervention implemented in a high-poverty urban community. Over 7,300 students from kindergarten to 4th grade in 1 low-socioeconomic-status school district participated in the study. Students from 13 different schools (36 different classroom) participated in the treatment. Comparisons were made to purposely selected control-group schools and all other students in the district. The aim of the intervention was to help early elementary-age students living in poverty learn essential math facts and master basic computational skills as a foundation for improving their math ability. The study used a pre-test/post-test quasi-experimental design with control and treatment groups. Achievement for both groups was compared to that of the school district as a whole, with analysis disaggregated by poverty status. The results found positive gains in the treatment group's math achievement at every grade level, transcending differences in socioeconomic status.     

Exploring the social ecological model based on national student achievements: extracting educational leaders’ role

The purpose of this paper is to reexamine the effect of internal school factors such as school violence and class size, and external school factors such as family socio-economic resources on student math achievements, based on the social ecological model, eliciting an integrative approach. Data were collected from an Israeli national database, using average percentage scores for each school. The scores were based on results from 20,979 students in 191 junior high schools participating in the study. The study findings showed that in addition to low violence at school, family socio-economic status, including private math tutoring and computer-based math learning at home, predicted high math achievements. School violence partially mediated the relationship between sector and student achievements in math, while family socio-economic status partially mediated the relationship between district and student achievements in math. Our integrative model results may help school leaders to design policy to increase school effectiveness and reduce gaps among districts and sectors. The findings may encourage school leaders to strengthen the relations between schools and students’ homes in order to influence students’ activities there, especially in areas with low socio-economic status, to conduct school activities to reduce school violence, and increase computer-based learning in students’ homes.     

Dimensional comparisons in students' perceptions of the learning environment

This study aims to add empirical evidence to the generalized internal/external frames of reference (GI/E) model, according to which students' social and dimensional achievement comparisons might not only be related to students' self-concepts but also to perceptions of the learning environment. In a sample of N = 4926 German students, math and language achievements were measured along with two facets of students' perceptions of the learning environment, i.e., perceived instructional quality of math and language classes and perceived relations to math and language teachers. In the GI/E path model, achievement and perceptions of the learning environment were positively related within matching domains but negatively related or unrelated across non-matching domains. This pattern of relations indicates that social and dimensional achievement comparisons contribute to the formation of students' perceptions of the learning environment but the pattern of relations was stronger for math than for language achievement. Students' perceptions of instructional quality were more strongly related to achievement than perceptions of student–teacher relations. The findings were generalizable across same-aged elementary and secondary school students. The results are discussed regarding their implications for the proposed GI/E model and their importance for future research.     

Developmental Math Pilot: Massive Open Online Course (MOOC), Psychology Concepts,and Group Work

Researchers observed their students’ frequent choices to use technology and the students' weak developmental math course completion rates. These observations piqued researchers' interest to find a new approach to improve students’ math learning—utilizing disruptive innovation. The purpose of this study was to understand students’ perceptions about learning developmental math with a Massive Open Online Course (MOOC) and face-to-face group activities interwoven with psychology of learning concepts. Research findings suggest that MOOCs used in developmental math coursework can improve math success, and group work within face-to-face classrooms can increase connectivity to learning. A MOOC was merged with face-to-face psychology of learning group projects, and students described increased connectivity to their learning. For example, Haley exclaimed, “So definitely learned how to learn all over again this semester and I’m doing awesome … It’s like I’m breezing through!”     

Using Student-Assessment Results to Improve Instruction: Lessons From a Workshop

The student-assessment results that schools must report to satisfy No Child Left Behind (NCLB) requirements could be useful in pinpointing strengths and weaknesses in instructional programs and students' skills. However, many school staffs lack the expertise to learn from assessment results. We describe lessons learned from a yearlong workshop aimed at helping 10 schools with this crucial work. Attended by school-based teams consisting of teachers, administrators, and graduate students in education, the workshop (a) explored different types of data and data analyses and (b) helped teams use data to analyze a school-specific problem and create an action plan. Lessons we learned include: schools need (a) a process for engaging in conversations around teaching and learning, (b) an opportunity for support of analyses of data from their school, and (c) leadership committed to the endeavor. Many participating school teams learned lessons from student-assessment results with important implications for instructional improvement.     

The effect of peer group stability on achievements: Evidence from Poland

This article reports on a study using data from nation-wide standardised examinations in Poland. We analysed the extent to which grade 9 student achievements have depended on the stability of their peer group over the course of middle school. We controlled for the fixed effects of schools attended by the students, as well as for individual achievements prior to middle school enrolment. To mitigate the risk for endogeneity, analysis was informed by a consideration of the fact that middle schools operate in different institutional relations with nearby primary schools. This also allowed us to distinguish between the effect related to peer group stability and the one connected to the stability of the learning environment in general. The results of our analysis show that instability significantly reduces students' expected performance in mathematics and science. The impact of peer group stability on test achievements varies strongly across the student ability distribution. Very low-performing students and top performers were most affected. The average students were largely unaffected. One category of students that seems to benefit from the change when moving to middle school are students from very competitive primary schools who have average skills.     

The Relationship between Students' Connections to Out‐of‐School Experiences and Factors Associated with Science Learning

This study examined the relationship between students' out‐of‐school experiences and various factors associated with science learning. Participants were 1,014 students from two urban high schools (secondary schools). They completed a survey questionnaire and science assessment describing their science learning experiences across contexts and science understanding. Using multilevel statistical modelling, accounting for the multilevel structure of the data with students (Level 1) assigned to teachers (Level 2), the results indicated that controlling for student and classroom factors, students' ability to make connections between in‐school and out‐of‐school science experiences was associated with positive learning outcomes such as achievement, interest in science, careers in science, self‐efficacy, perseverance, and effort in learning science. Teacher practice connecting to students' out‐of‐school experiences was negatively associated with student achievement but has no association with other outcome measures. The mixed results found in this study alert us to issues and opportunities concerning the integration of students' out‐of‐school experiences to classroom instruction, and ultimately improving our understanding of science learning across contexts.     

Impacts After One Year of “Healing Classroom” on Children's Reading and Math Skills in DRC: Results From a Cluster Randomized Trial

This article examines the effects of one year of exposure to “Learning to Read in a Healing Classroom” (LRHC) on the reading and math skills of second- to fourth-grade children in the low-income and conflict-affected Democratic Republic of the Congo. LRHC consists of two primary components: teacher resource materials that infuse social-emotional learning principles into a reading curriculum and collaborative school-based teacher learning circles to exchange information about and solve problems in using the teacher resource materials. To test the impact of LRHC on children's reading and math skills, 40 school clusters containing 64 schools and 4,465 students were randomized to begin LRHC in 2011–2012 or to serve as wait-list controls. Hierarchical linear models (students nested in schools, nested in school clusters) were fitted. Results indicate marginally significant positive impacts on children's reading scores (d_wt = .14) and geometry scores (d_wt = .14) but not on their addition/subtraction scores. These results should be treated with caution given the reported significance level of p < .10. The intervention had the largest impacts on math scores for language minority children and in low-performing schools. Research, practice, and policy implications for education in low-income conflict-affected countries are discussed.     

The use of computer-automated reading in reading instruction

This study evaluates the use of computer-automated reading in reading instruction and illustrates a resource role for school psychologists in providing consultative assistance for computer-assisted instruction. A reading specialist serving as the teacher's aide was taught to write computer programs for automated reading on a personal computer with a speech synthesizer. The teacher selected six beginning-reading books for her remedial reading classes with 1st- and 2nd-grade students. Five 1st-grade and five 2nd-grade students, enrolled in a compensatory education program, were randomly assigned to two experimental groups; five 1st-grade and five 2nd-grade students, enrolled in the same program, were randomly assigned to two control groups. The students in the experimental groups received automated reading with their instruction; the students in the control groups received instruction in the same books, without automated reading. Pre- and posttests of word recognition, phrase reading, and reading comprehension were administered. The random selection of 1st-grade students failed to yield comparable groups, and the contrast of adjusted posttest scores was nonsignificant. Analyses of covariance on the reading criteria for the 2nd-grade groups indicated significant achievement gains for the experimental group.     

Mindset × Context: Schools,Classrooms, and the Unequal Translation of Expectations into Math Achievement

When do adolescents' dreams of promising journeys through high school translate into academic success? This monograph reports the results of a collaborative effort among sociologists and psychologists to systematically examine the role of schools and classrooms in disrupting or facilitating the link between adolescents' expectations for success in math and their subsequent progress in the early high school math curriculum. Our primary focus was on gendered patterns of socioeconomic inequality in math and how they are tethered to the school's peer culture and to students' perceptions of gender stereotyping in the classroom. To do this, this monograph advances Mindset × Context Theory. This orients research on educational equity to the reciprocal influence between students' psychological motivations and their school-based opportunities to enact those motivations. Mindset × Context Theory predicts that a student's mindset will be more strongly linked to developmental outcomes among groups of students who are at risk for poor outcomes, but only in a school or classroom context where there is sufficient need and support for the mindset. Our application of this theory centers on expectations for success in high school math as a foundational belief for students' math progress early in high school. We examine how this mindset varies across interpersonal and cultural dynamics in schools and classrooms. Following this perspective, we ask:

• 1. Which gender and socioeconomic identity groups showed the weakest or strongest links between expectations for success in math and progress through the math curriculum?
• 2. How did the school's peer culture shape the links between student expectations for success in math and math progress across gender and socioeconomic identity groups?
• 3. How did perceptions of classroom gender stereotyping shape the links between student expectations for success in math and math progress across gender and socioeconomic identity groups?

We used nationally representative data from about 10,000 U.S. public school 9th graders in the National Study of Learning Mindsets (NSLM) collected in 2015–2016—the most recent, national, longitudinal study of adolescents' mindsets in U.S. public schools. The sample was representative with respect to a large number of observable characteristics, such as gender, race, ethnicity, English Language Learners (ELLs), free or reduced price lunch, poverty, food stamps, neighborhood income and labor market participation, and school curricular opportunities. This allowed for generalization to the U.S. public school population and for the systematic investigation of school- and classroom-level contextual factors. The NSLM's complete sampling of students within schools also allowed for a comparison of students from different gender and socioeconomic groups with the same expectations in the same educational contexts. To analyze these data, we used the Bayesian Causal Forest (BCF) algorithm, a best-in-class machine-learning method for discovering complex, replicable interaction effects. Chapter IV examined the interplay of expectations, gender, and socioeconomic status (SES; operationalized with maternal educational attainment). Adolescents' expectations for success in math were meaningful predictors of their early math progress, even when controlling for other psychological factors, prior achievement in math, and racial and ethnic identities. Boys from low-SES families were the most vulnerable identity group. They were over three times more likely to not make adequate progress in math from 9th to 10th grade relative to girls from high-SES families. Boys from low-SES families also benefited the most from their expectations for success in math. Overall, these results were consistent with Mindset × Context Theory's predictions. Chapters V and VI examined the moderating role of school-level and classroom-level factors in the patterns reported in Chapter IV. Expectations were least predictive of math progress in the highest-achieving schools and schools with the most academically oriented peer norms, that is, schools with the most formal and informal resources. School resources appeared to compensate for lower levels of expectations. Conversely, expectations most strongly predicted math progress in the low/medium-achieving schools with less academically oriented peers, especially for boys from low-SES families. This chapter aligns with aspects of Mindset × Context Theory. A context that was not already optimally supporting student success was where outcomes for vulnerable students depended the most on student expectations. Finally, perceptions of classroom stereotyping mattered. Perceptions of gender stereotyping predicted less progress in math, but expectations for success in math more strongly predicted progress in classrooms with high perceived stereotyping. Gender stereotyping interactions emerged for all sociodemographic groups except for boys from high-SES families. The findings across these three analytical chapters demonstrate the value of integrating psychological and sociological perspectives to capture multiple levels of schooling. It also drew on the contextual variability afforded by representative sampling and explored the interplay of lab-tested psychological processes (expectations) with field-developed levers of policy intervention (school contexts). This monograph also leverages developmental and ecological insights to identify which groups of students might profit from different efforts to improve educational equity, such as interventions to increase expectations for success in math, or school programs that improve the school or classroom cultures.     

Short- and long-term effects of COVID-related kindergarten and school closures on first- to eighth-grade students’ school readiness skills and mathematics,reading and science learning

Remote learning during the COVID pandemic has led to short- and long-term consequences for students' learning. So far, data on learning loss in early schooling have been limited. In this paper, we evaluate the effect of remote learning on 1st graders' school readiness skills and 2nd–8th graders’ performance in mathematics, reading and science using rich data collected in Hungary before and during the pandemic (n ≈ 55,000). The results show that kindergarten children and 1st–4th-grade students were significantly negatively affected by COVID restrictions compared to their older peers. This difference was extremely large in schools with a high share of disadvantaged students. More specifically, 1st–4th-grade low-SES students made little or no progress while learning from home.     

Perseverance,passion and poverty: Examining the association between grit and reading achievement in high-poverty schools in South Africa

This paper examines whether school characteristics moderate the association between grit and reading achievement in a sample of Grade 6 learners in high-poverty contexts. The analysis makes use of data from 2383 learners distributed across 60 township and rural schools in three provinces of South Africa. Indicators of school functionality are used to split the sample of schools into three groups (low, medium, and high functionality) and separate models of reading achievement are estimated for each group. The econometric analysis points to evidence of variation in the association between grit and reading achievement by school functionality, with a stronger association estimated for learners in more functional schools. The major contributions of this paper are as follows: Firstly, this paper is one of only a handful of studies that estimate the relationship between grit and academic achievement in a middle-income country, and the first to estimate this relationship among primary school students in an African context. Second, the results provide empirical evidence in support of the hypothesis that school characteristics interact with non-cognitive skills to produce learning outcomes, a relationship that has received scant attention in the literature to date.     

Using Data and the Human Touch: Evaluating the NYC Inter-Agency Campaign to Reduce Chronic Absenteeism

ABSTRACT

Following a 2008 report that documented the extent of chronic absenteeism in New York City's schools, the city organized an interagency task force to develop and implement a citywide effort to reduce chronic absenteeism. Given the size of the city school system and the scope of chronic absenteeism, the effort became the nation's most comprehensive campaign against absenteeism. Analyses of the campaign's pilot in 100 schools, with over 80,000 students, found that its efforts, particularly the Success Mentors program, significantly improved students' attendance rates and reduced chronic absenteeism, particularly for students from a high-poverty background.     

Free Lunch for All! The Effect of the Community Eligibility Provision on Academic Outcomes

We analyze the effect of the Community Eligibility Provision (CEP), a universal free-lunch program, on elementary and middle school students' academic performance and attendance in the state of South Carolina. As part of the program, eligible schools can provide free lunches to all students, regardless of whether an individual student qualifies for free or reduced lunch. Using a difference-in-differences approach, we show that CEP leads to about 0.06 of a standard deviation increase in math test scores for elementary school students. We find smaller effects on reading scores and on middle school students. These effects also vary by student poverty, school poverty, and locality. In particular, we find students that were previously eligible for free lunches but not on other public assistance programs benefit the most from CEP. The results may suggest that the expansion of access to free lunch help improve students' academic outcomes.     

Coordinated Strategies to Help the Whole Child: Examining the Contributions of Full-Service Community Schools

Full-service community schools are designed to increase students, and families' access to comprehensive and coordinated supports, services, and programs such as medical care, food aid, and enrichment activities. Despite widespread support, the research base documenting the efficacy of community schools is still emerging. Analyzing longitudinal data from 6 low-income, predominantly Latino community schools, this case study investigated whether students' participation in community-school programming influenced their attendance and achievement. Multilevel models indicated that youth who participated in extended learning programs or whose families were involved in family engagement opportunities exhibited greater attendance rates and achievement in math and English language arts, when compared to their nonparticipating peers. Findings provide promising evidence on the value of a comprehensive and integrated system of school supports that address the myriad needs of vulnerable student populations.     

Academic tracking is related to gains in students' intelligence over four years: Evidence from a propensity score matching study

Ability grouping or tracking during secondary schooling is widespread. Previous research shows academic track schools are more successful than non-academic track schools in teaching mathematics, reading and foreign languages. Reasons include a more favorable student composition and higher instructional quality. However, there is less evidence that between track differences are even large enough to differentially affect the students' cognitive development. We used data from a large Hamburg panel study to test this hypothesis (N = 8628). By employing several propensity score matching algorithms we formed parallelized samples of academic track and either non-academic track students or comprehensive school students. After four years of tracking, academic track students showed considerably higher intelligence scores than their counterparts at the non-academic tracks and slightly higher scores than students at the comprehensive schools. Our results underline the importance of a cognitively stimulating learning environment in school to support students' cognitive development.     

Students' Perception of School Violence and Math Achievement in Middle Schools of Southern Italy

This study aims at both investigating bullying episodes occurring at school across different grades (from 6 to 8) and evaluating whether educational achievement in math can be predicted on the ground of students' perception of school violence. The sample was composed of 11,064 students coming from middle schools of Southern Italy. Standardized tests were submitted to measure students' performance in mathematics. Background questionnaires were used to assess students' perception of school violence in relation to some bullying episodes occurring in the last month. Students' perception of school violence, which tends to decrease from Grade 6 to 8, can be considered a valid predictor of their math performance, also controlling for both individual and family background, school context, and geographical characteristics.     

Reading subskill differences between students in Shanghai-China and the US: evidence from PISA 2009

Based on different language systems and educational practices of their respective countries, hypotheses were made regarding how 15-year-old students from Shanghai-China and the US might differ in the 5 reading subskills designated in the Programme for International Student Assessment (PISA) when they have the same overall reading ability (i.e., when their overall reading ability is controlled for). A multilevel analysis was conducted to test the hypotheses using the PISA 2009 reading dataset. When we controlled for students' overall reading ability, individual socioeconomic status (SES), and school mean SES, Shanghai-Chinese students performed significantly better in integrating and interpreting than US students. Further, when we controlled for students' overall reading ability and school mean SES, US students showed significantly higher performance in reading non-continuous texts than Shanghai-Chinese students, whereas US students showed significantly lower performance in reading continuous texts. The results of this study can inform reading instruction and learning in the 2 countries.     

The literacy achievement of Norwegian minority students

The article presents the literacy achievement of Norwegian minority students, their reading habits, and their enjoyment of reading based on the Programme for International Student Assessment (PISA) 2000 study. Aspects of their family background and attitudes towards school are related to literacy achievement results. A comparison between Denmark, Sweden, Norway and Germany shows that the achievement gap between majority and minority students is larger in Denmark and Germany than in Norway and Sweden. A more detailed presentation of the Norwegian reading results shows that 35% of the Norwegian minority students perform at a level indicating that they are able to read in a technical sense, but they are unlikely to be able to use reading as an independent tool in acquiring knowledge and skills. The minority students' responses to questions about socio‐economic family background, reading habits, learning strategies and school motivation give a complex picture of their situation in Norwegian schools. The results indicate that there is some potential for equalising differences between minority students and majority students.