International Evidence on School Competition,Autonomy, and Accountability: A Review

This article reviews evidence from four international student achievement tests on the effects on student performance of competition from privately managed schools, schools' freedom to make autonomous decisions, and accountability introduced by external exit exams. The multivariate cross-country regressions are performed at the level of individual students and control for extensive family and school background information. The results reveal that students perform better in countries with more competition from privately managed schools, in countries where public funding ensures that all families can make choices, in schools that have freedom to make autonomous process and personnel decisions, where teachers have both freedom and incentives to select appropriate teaching methods, where parents take interest in teaching matters, and where school autonomy is combined with external exams that provide an information basis allowing for well-informed choices and holding schools accountable for their autonomous decisions.     

Does teaching style explain differences in learner achievement in low and high performing schools in Kenya?

Quality of instructional delivery is an important determinant of the extent to which the teaching process has an impact on learning achievement. The literature identifies many contributors of learning achievement including teacher, curricula, teaching, student, home and school environments. On an ‘education production function’ approach, achievement may be modelled as an outcome determined by school and classroom based inputs. The processes of achievement determination are typically assumed, in the absence of detailed information about actual classroom practices. In Kenya, primary schools continue to report differentials in performance on standardized tests even when policy implementers distribute teachers normally to these schools. Such differences in academic performance have been reported even among schools within the same neighbourhood. Schools from the same neighbourhood draw students with similar backgrounds and expose them to teachers who have gone through the same training. This paper hypothesizes that teaching style plays a key role in explaining the differences in academic performance among students between primary schools. Using data from 72 math lessons that were filmed in 72 primary schools in Kenya, the authors demonstrate the extent to which teaching practice explains differences in performance among students and schools. While controlling for individual and school based factors, the paper uses mixed methods to analyse the linkages between teaching practices and learning achievement. The main research finding and policy implication is that students learning achievement can be improved through quality teaching, even when other conditions such as class size are not conducive.     

Developmental assessment: lifting literacy through professional learning teams

Outcomes and findings from an evidence‐based approach to targeting primary school students’ developmental reading comprehension levels for effective learning are described. Nineteen schools participated in a literacy assessment project designed to monitor and improve the reading comprehension achievement levels of their students. The project integrated a developmental approach to learning and teaching, information derived from standardised reading comprehension assessments, and professional development for teachers. Reading comprehension achievement across the schools increased at a higher rate than typically expected. Teacher discourse about teaching and learning changed from discrete skill and resource focused, to developmentally focused. The centrality of a professional learning team approach to change for the student, teacher and school is discussed.     

The relationship between departments as professional communities and student achievement in secondary schools

Secondary school teaching is organized in departments and effective departments functioning as collaborative teams have been associated with effective schools. Therefore, this study investigates the relationship of mathematics departments perceived as professional communities and student achievement in Dutch secondary schools. Cluster analysis and hierarchical linear modeling (HLM) were used on a sample of around 3000 students, 130 schools, and 130 teachers that participated in this study (TIMSS-2003 data). The significant effects found (effect size >.20) show that those departments that focus on reflective dialogue, collaborative activity, shared vision and student achievement are associated with successful schools and higher student achievement.     

A comparison between value-added school estimates and currently used metrics of school accountability in California

This study compared a value-added approach to school accountability to the currently used metrics of accountability in California of Adequate Yearly Progress (AYP) and Academic Performance Index (API). Five-year student panel data (N?=?53,733) from 29 elementary schools in a large California school district were used to address the research questions. Results show the strong relationship between AYP and API to student background measures. Schools with a majority of students from low socioeconomic background lagged far below schools from more affluent context. Results from the value-added approach however, showed a strongly diminished relationship to student background. Under this model, several schools from a low socioeconomic context can be seen as high achieving. Additionally, little evidence was found that high levels of student achievement negatively affect school value-added scores. Schools that enroll large proportions of advanced students, which often do not show positive growth across years are not penalized under a value-added approach. Recommendations for policy and future research are discussed.     

Conceptual and empirical differences among various value-added models for accountability

Accountability systems in education generally include indicators of student performance. However, these indicators often differ considerably among the various systems. More and more countries try to include value-added measures, mainly because they do not want to hold schools accountable for differences in their initial intake of students. This study presents a conceptual framework of these value-added measures, resulting in an overview of 5 different types. Using data from Dutch secondary schools, we empirically provide estimates of these different measures. Our analyses show that the correlation between the different types of school effects estimated is rather high, but that the different models implicate different results for individual schools. Based on theoretical considerations, arguments are given to use the following indicators in the value-added accountability models: prior achievement, student-level background characteristics, and compositional characteristics of the student population.     

Empirical Validity for a Comprehensive Model on Educational Effectiveness

Educational effectiveness research is often criticised because of the absence of a theoretical background. In our study we started out from an educational effectiveness model which was developed on the basis of educational theories and empirical evidence. We have tested the main assumptions of the model by reanalysing a large-scale longitudinal dataset which contains elementary school data of subsequent student cohorts, their teachers and their schools. We found some expected positive effects on achievement of individual classroom and school factors in the effectiveness model but these were not stable across school subjects and student cohorts. When factors were grouped into clusters the findings remained essentially the same. To interpret the clusters we made use of the concept of consistency, which refers to a balance between factors which may enhance effectiveness. Some teachers and schools are more consistent than others, but this does not affect the achievement of their students. Cross-level interaction effects were not found. The instability of effects makes it hard to suggest changes in the model at this moment.     

Modelling Student Progress in Studies of Educational Effectiveness∗

It is argued that a crucial requirement in studies of educational effectiveness is the modelling of change or growth in student learning. To illustrate one approach to achieving this end, results are presented from multivariate multilevel analyses of three‐waves of data for three Grade level cohorts of students from a longitudinal study designed to explain variation in elementary school students' progress in literacy achievement. The article provides estimates of the influence of prior achievement and social background factors including ‘critical events’, on students’ progress, examines the extent to which progress can be accounted for by the grouping effects of students within classes and schools over successive years, and provides estimates of the effects of explanatory variables at the student‐and class/teacher‐levels.

     

Rural and Urban Differences in Student Achievement in Science and Mathematics: A Multilevel Analysis

Recent educational research has demonstrated rural/urban differences in achievement and success in higher education. However, in order to assess the rural school's impact on student outcomes, rural/urban comparisons must be made after accounting for student background variables. Researchers have begun to question the generalisability of the effective school model for urban, suburban, and rural schools, given substantial differences in their social and organisational environments (Hannaway & Talbert, 1993). The purpose of this research study was to examine differences in student achievement between rural and urban schools in Western Australia, after controlling for student background variables. By using multilevel modelling techniques, this study demonstrated that the location of the school had a significant effect upon student achievement, with students attending rural schools not performing as well as students from urban schools.     

Educational inequality in Colombia: family background,school quality and student achievement in Cartagena

This study examines the effects of family socio‐economic disadvantage and differences in school resources on student achievement in the city of Cartagena, Colombia. Using data from the ICFES and C‐600 national databases, we conduct a multilevel analysis to determine the unique contribution of school‐level factors above and beyond family background. The results from the hierarchical linear models show that while family socio‐economic background significantly affects student achievement, school composition and school resources explain as much as half of the effects of family background. More specifically, the achievement gap in public schools is explained in large part by differential resource allocation and concentration of poor students in public schools, which in turn lowers student achievement.     

Factors influencing the academic achievement of the Turkish urban poor

This study estimates the individual and combined effects of selected family, student and school characteristics on the academic achievement of poor, urban primary-school students in the Turkish context. Participants of the study consisted of 719 sixth, seventh, and eighth grade primary-school students from 23 schools in inner and outer city squatter settlements. The findings indicated that the set of variables comprising student characteristics, including well-being at school, scholastic activities and support, explained the largest amount of variance in academic achievement among the urban poor. Although the effect sizes are small, family background characteristics and school quality indicators were also found to be significantly related to academic achievement. The implications of this study for improving primary schools in urban poor neighborhoods are discussed.     

The relationship between first‐year achievement and the pedagogical‐didactical fit between secondary school and university

Central in this study is the degree to which the pedagogical‐didactical approach in undergraduate programmes aligns with the pedagogical‐didactical approach in secondary schools, and how this is related to first‐year achievement. Approaches to teaching at secondary schools and in first‐year university programmes were examined by interviewing school management, school teachers and university lecturers. The teaching approaches found within the schools were contrasted against the academic teaching approaches, resulting in four types of fit. With multiple regression analysis the relationships between these four types of fit, gender, prior achievement and first‐year achievement were examined. The results showed that prior performance is positively related to first‐year achievement, as well as a fit characterised by more student‐centred teaching in the first year compared to the approach to teaching at secondary school.     

Socioeconomic and Gender Effects on Science Achievement: An Australian Perspective

The purpose of this study is to investigate science achievement of Australian students and how this achievement can vary from school to school. The proposition that gender and socioeconomic inequities in Australia are the result of school systems designed to reproduce an unequal social order was examined with reference both to current sociological literature and methodological techniques which account for the hierarchical nature of students nested in schools. Additionally, student‐level and school‐level variables are investigated for their ability to explain gender and socioeconomic differences in science achievement, as well as general student variability. Even after adjusting for the students’ individual characteristics and home backgrounds, as well as the context of the school, there were significant gender and socioeconomic differences in science achievement across Australian schools. The importance of variability in science achievement between schools is shown in this study, with specific reference to how this variability can be attributed to the school system.     

A multilevel analysis of Japanese middle school student and school socioeconomic status influence on mathematics achievement

The author examined the simultaneous influence of Japanese middle school student and school socioeconomic status (SES) on student math achievement with two-level multilevel analysis models by utilizing the Trends in International Mathematics and Science Study (TIMSS) Japan data sets. The theoretical framework used in this study was Bronfenbrenner’s bioecological theory (Bronfenbrenner and Morris 1998). The data sets contained 4,856 students from 146 public and private middle schools. The results indicated that at the student level, different aspects of student SES (i.e., number of books, the possession of computers, paternal, and maternal educational achievements) were positively related to Japanese student math achievement. At the school level, two aspects of school SES (i.e., less populated schools and economically disadvantaged schools) were negatively related to Japanese student math achievement. None of the cross-level interactions were significant, but the random effect for the computer slope was significant. Although this study found both student and school SES effects on student achievement, the proportional reduction of prediction error explained by both student and school SES were was small, meaning the residual variances at student and school levels did not capture the majority of variance explained by math achievement. The implications of theoretical framework and educational policy are discussed.     

Socioeconomic status, self-efficacy, and mathematics achievement in Australia: a secondary analysis

Previous studies have shown that both student and school socioeconomic status (SES) are strongly associated with student outcomes, but less is known about how these relationships may vary for different students, schools and nations. In this study we use a large international dataset to examine how student SES, school SES and self-efficacy are associated with mathematics performance among 15-year-old students in Australia. We found that increases in school SES are consistently associated with substantial increases in achievement in mathematics and this phenomenon holds for all groups, regardless of their individual SES. Furthermore, our findings show that the association of school SES with maths achievement persists even when subject-specific self-efficacy is taken into account. However, our findings also suggest modest differences among student groups disaggregated by these factors. In particular, the association between maths achievement and school SES appears moderately stronger for students with higher levels of self-efficacy compared with their peers with lower self-efficacy. Furthermore, among students with similar levels of self-efficacy, the association between maths achievement and school SES tends to be stronger for lower SES students than for their more privileged peers. From these findings, we highlight the importance of the Australian case for comparable systems of education, and provide a discussion of policy implications and strategies for mitigating the influence of school socioeconomic composition on academic achievement more generally.     

Associations between school absence and academic achievement: Do socioeconomics matter?

This study examined the extent to which the association between increased student absence and lower achievement outcomes varied by student and school‐level socioeconomic characteristics. Analyses were based on the enrolment, absence and achievement records of 89,365 Year 5, 7 and 9 students attending government schools in Western Australian between 2008 and 2012. Multivariate multi‐level modelling methods were used to estimate numeracy, writing and reading outcomes based on school absence, and interactions between levels of absence and school socioeconomic index (SEI), prior achievement, gender, ethnicity, language background, parent education and occupation status. While the effects of absence on achievement were greater for previously high‐achieving students, there were few significant interactions between absence and any of the socioeconomic measures on achievement outcomes. The results of first‐difference regression models indicated that the negative effect of an increase in absence was marginally larger for students attending more advantaged schools, though most effects were very small. While students from disadvantaged schools have, on average, more absences than their advantaged peers, there is very little evidence to suggest that the effects of absence are greater for those attending lower‐SEI schools. School attendance should therefore be a priority for all schools, and not just those with high rates of absence or low average achievement.     

Socioeconomic Gaps in Academic Achievement Within Schools: Are They Consistent Across Subject Areas?

Few studies have examined the correlates of within-school socioeconomic gaps in academic achievement corresponding to subject areas across schools. This study addressed this limitation with data from the New Brunswick School Climate Study (N = 6,883 students from 148 schools) which contained measures on academic achievement in four subject areas (mathematics, science, reading, and writing) as well as student and school background characteristics. Results of multivariate, multilevel analyses showed that within-school socioeconomic gaps were similar between reading and writing as well as between mathematics and science. Furthermore, the interrelationships of within-school socioeconomic gaps in academic achievement corresponding to the four subject areas across schools were not much influenced by student background characteristics (gender, Native status, number of parents, and number of siblings) and characteristics of school context and climate (school size, school mean SES, disciplinary climate, academic expectation, and parental involvement).     

The Impact of Charter Schools on Promoting High Levels of Mathematics Achievement

Abstract

This study compares achievement levels for high ability students attending charter schools and students in traditional public schools in Georgia. Researchers examined student achievement (as assessed by the state's Criterion-Referenced Competency Tests) using three comparison groups: students in the closest traditional schools with similar grade levels, schools with similar demographics, and comprehensive school reform schools. Hierarchical loglinear analysis was used to determine the impact of school type and student demographic variables on student achievement mobility (i.e., the degree to which students, from 2004 to 2005, moved into or out of the top 10% of each grade level on the CRT mathematics subtest). Results for the first comparison did not provide evidence of a significant relationship between school type and achievement mobility, but results for the second and third comparisons suggest that Black students generally experienced positive or neutral achievement mobility in traditional schools and negative mobility in charter schools; White students generally saw negative achievement mobility in traditional schools and neutral to positive mobility in charter schools. Implications for the study of gifted education and gifted students within charter schools are discussed.     

The mediating role of socio-motivational support in the association between individual school self-concept and achievement motivation amongst adolescent students

It is now well known that adolescence is frequently marked by a decline in students' achievement motivation, which in turn is often associated with a decline in individual school self-concept. Less is known about the mediating role of socio-motivational support in the association between individual school self-concept and achievement motivation. The current study examined the interplay of individual school self-concept, socio-motivational support and achievement motivation in a large sample of seventh and eighth grade students (N?=?1,088; M _Age?=?13.7) in secondary schools in Brandenburg, Germany. Structural equation modeling was used to test the associations between individual school self-concept, socio-motivational support, and achievement motivation. The results showed that the teacher–student relationship as well as “teachers as positive motivators” mediated the association between individual school self-concept and achievement motivation. In contrast, neither “peers as positive motivators” nor the student–student relationship mediated this association. These results support the notion that maintaining a positive teacher–student relationship as well as encouraging teachers in the role of positive motivators could be an effective starting point for prevention and intervention programs aimed at offsetting the decline in individual school self-concept and achievement motivation during adolescence.     

ICT use in mathematics lessons and the mathematics achievement of secondary school students by international comparison: Which role do school level factors play?

By means of an international comparison, the research presented in the article aims to identify supporting and hindering school level factors for the use of ICT in secondary school mathematics lessons. The relationship between ICT use and the performance of Grade 9 students in mathematics is examined and further integrated into a multi-level model including school level factors. Against the background of a theoretical allocation (1) the IT equipment of schools, (2) school leadership, (3) aspects of school goals and educational strategies as well as (4) teachers’ attitudes will be analyzed by means of a multi-level regression model as well as a multi-level path model including the mathematics achievement of students as measured in the context of PISA 2012. Representative school and student data from five countries, namely Australia, Germany, the Netherlands, Norway and Singapore are taken into consideration, as the integration of ICT in teaching and learning is firmly emphasized in these countries (overall 24,579 students in 1263 schools). By modeling the complex structure, school characteristics are examined with respect to their effect on the use of ICT for mathematics teaching. Moreover, the relation between different factors and students’ mathematics achievement will be synchronously assessed in the different educational systems. The results show that characteristics at school level do play a major role in the integration of ICT into teaching and learning and turn out to be relevant across the educational systems. In addition to further in-depth country-specific findings, the results point to cross-national future challenges in the field of using technologies to enhance teaching and learning.