Predicting high school student use of learning strategies: the role of preferred learning styles and classroom climate

This study investigated the predictiveness of preferred learning styles (competitive and cooperative) and classroom climate (teacher support and disciplinary climate) on learning strategy use in mathematics. The student survey part of the Programme for International Student Assessment 2003 comprising of 4633 US observations was used in a weighted ordinary least squares multiple regression framework to predict learning strategy from preferred learning styles and classroom climate while controlling for self-efficacy and demographic variables. The results showed that preferred learning styles were the most important predictors of learning strategies used in mathematics. Educational implications were discussed.     

Singapore’s School Excellence Model and student learning: evidence from PISA 2012 and TALIS 2013

This study examines the relationship between key elements of the School Excellence Model (SEM) and student achievement in reading, mathematics and science as measured by the Programme for International Student Assessment (PISA) 2012 and the Teaching and Learning International Survey (TALIS) 2013, using a sample of 166 schools in Singapore. Strategies, quality and resources are identified as school-level dimensions commonly involved in the SEM to select variables in PISA 2012 and TALIS 2013. A multilevel data analysis was conducted using hierarchical linear modelling. The results indicate that a triangulated school strategy focused on strengthening teacher participation, principal commitment and school responsibility has significant relationships with student performance. In particular, teachers’ instructional improvement contributed to student achievement, while teacher ratio to support teaching staff accounts for the largest variance in student achievement. Finally, school extra-curricular activities promote well-rounded student development that enhances learning achievement. Findings highlight the importance of school-based accountability that empowers teachers, in building school capacity for student achievement.     

A new perspective on memorization practices among East Asian students based on PISA 2012

Abstract

This study examined learning strategy use in mathematics among East Asian students in East Asian educational systems. By employing latent class analysis on the Programme for International Student Assessment (PISA) 2012 data, we found four classes of learning strategy types, namely memorization with metacognitive strategies (17.49%), metacognitive strategies with memorization (50.70%), elaboration only (10.33%), and metacognitive strategies with elaboration (16.47%). The results showed that the majority of the students in all seven East Asian educational systems belonged to the ‘metacognitive strategies with memorization’ class, and most students adopted more than one type of learning strategy when learning mathematics. Additionally, students who reported the use of metacognitive strategies along with either memorization or elaboration showed higher mathematics achievement. We conclude that the cognitive processes employed by students of East Asian backgrounds are more complex and nuanced than the previous perception that they relied heavily on memorization.     

A machine learning approach to investigating the effects of mathematics dispositions on mathematical literacy

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and psychological dispositions, in an integrated way as part of the same system. Large-scale assessments such as the Programme for International Student Assessment (PISA) provide an accessible and large volume of coherent data, and this gives researchers the opportunity to employ data-driven approaches to gain an overview of the system. For these reasons, we have used machine learning to explore the relationships between psychological dispositions and mathematical literacy in Australian 15-year-olds using the PISA 2012 data set. Our results from this strongly data-driven approach re-affirm the primacy of mathematics self-efficacy and highlight novel complex interactions between mathematics self-efficacy, mathematics anxiety and socio-economic status. In this paper, we demonstrate how education researchers can usefully employ data-driven modelling techniques to find complex non-linear relationships and novel interactions in a multidimensional data set.     

The relationship between homework time and achievement is not universal: evidence from multilevel analyses in 40 countries

Although homework is generally believed to be an important supplement to in-school learning, research has not yet fully clarified the relationship between homework and achievement. This cross-cultural study analyzed the relationship between homework time and mathematics achievement drawing on data from 231,759 students in 9,791 schools and 40 countries who participated in the Programme for International Student Assessment (PISA) 2003. Multilevel analyses found a positive association between school-average homework time and mathematics achievement in almost all countries, but the size of the association decreased considerably once socioeconomic background and school track were controlled. At the student level, no clear-cut relationship was established between homework time and achievement across the 40 countries. The results highlight the need to use multilevel analyses and to control for confounding variables in homework research.     

Investigating the relation of perceived teacher unfairness to science achievement by hierarchical linear modeling in 52 countries and economies

Abstract

This study used the data from the 2015 OECD Programme for International Student Assessment (PISA) to examine the relationship between perceived teacher unfairness and science achievement with a three-level hierarchical linear model (HLM) as the analytic approach. Data of 188,104 students from 4895 schools in 52 countries and economies were used for analysis. After accounting for student gender, student-, school-, and country-level economic, social, and cultural status, and students’ non-cognitive outcomes, the results of HLM analysis showed that perceived teacher unfairness negatively predicted science achievement with a modest effect size. The possible explanations of the results and the practical implication of the findings were discussed.     

In-service training programmes for mathematics teachers nested in transnational policy discourses

Results in mathematics on international knowledge surveys like Programme for International Student Assessment and Trends in International Mathematics and Science Study have become one of the most important factors for the perceived success or failure of schools and even entire education systems in the policy arena. In this article, we explore the complex recontextualising processes that occur when translating educational policy into actual programmes for teachers’ education. First, the transnational education policy discourse(s) of teachers’ in-service training with a focus on mathematics will be explored. Second, we examine how this transnational discourse is recontextualised in a national policy discourse resulting in a national reform programme for in-service training of mathematics teachers in Sweden. In a third step, concrete teacher training courses in mathematics are examined. The result shows a convergence between the official policy discourse and the pedagogic recontextualising field in terms of a broad teaching repertoire and peer discussions about reflections on certain common objects of learning.     

Student and school SES,gender, strategy use,and achievement

A multilevel mediated regression model was fit to Programme for International Student Assessment achievement, strategy use, gender, and family‐ and school‐level socioeconomic status (SES). Two metacognitive strategies (i.e., understanding and summarizing) and one learning strategy (i.e., control strategies) were found to relate significantly and positively to achievement. These strategies were used more by females and students attending higher SES schools. In contrast, males and students attending lower SES schools tended to use a greater number of learning strategies that did not relate to achievement, including memorization and elaboration. In addition, the strategies that did not relate to achievement were used more frequently by students from higher SES families. The findings suggest that schools, as opposed to families, may be the primary vehicle for developing effective strategy use practices for students and thus, targeted interventions may be particularly useful for male students attending low SES schools.     

Measurement invariance of the ICT engagement construct and its association with students’ performance in China and Germany: Evidence from PISA 2015 data

The present study investigated the factor structure of and measurement invariance in the information and communication technology (ICT) engagement construct, and the relationship between ICT engagement and students’ performance on science, mathematics and reading in China and Germany. Samples were derived from the Programme for International Student Assessment (PISA) 2015 survey. Configural, metric and scalar equivalence were found in a multigroup exploratory structural equation model. In the regression model, a significantly positive association between interest in ICT and student achievement was found in China, in contrast to a significantly negative association in Germany. All achievement scores were negatively and significantly correlated with perceived ICT competence scores in China, whereas science and mathematics achievement scores were not predicted by scores on ICT competence in Germany. Similar patterns were found in China and Germany in terms of perceived autonomy in using ICT and social relatedness in using ICT to predict students’ achievement. The implications of all the findings were discussed.     

经济合作与发展组织的三大国际教育测试研究

除了PISA(国际学生评估项目)以外,经济合作与发展组织还研发了关注教师专业发展和学校教学的TAMS项目(国际教学调查项目)、调查高等教育学生学习情况的AHELO项目(高等教育学习成果测评)和对16～65岁成人进行能力评估的PIAAC(国际成人能力测评项目)。这些国际教育测试分别针对不同的教育人群进行能力评估,以更好地使各国政府了解自身的教育状况,在世界范围内进行跨文化比较,为教育的发展制定更加科学合理的教育政策。     

Student Motivation and Learning in Mathematics and Science: A Cluster Analysis

The present study focused on an in-depth understanding of student motivation and self-regulated learning in mathematics and science through cluster analysis. It examined the different learning profiles of motivational beliefs and self-regulatory strategies in relation to perceived teacher autonomy support, basic psychological needs (i.e. autonomy, competence, and relatedness), motivational regulations, and academic achievement. Grounded in self-determination theory, this study examined the learning profiles of 782 students from eight secondary schools in Singapore. The cluster analyzes revealed four distinct learning profiles, and they were compared in association with perceived teacher autonomy support, needs satisfaction, motivational regulations, and grades. Cluster profiling enables teachers to have better understanding of their students’ self-regulated learning so that they can apply effective teaching strategies to foster their motivation. The findings offer a perspective to secondary students’ psychological needs along with some insights into their perceived task value and self-efficacy in the contexts of mathematics and science.     

Motivational and affective determinants of self-regulatory strategy use in elementary school mathematics

The aim of the study was to investigate the relationships between elementary students’ reported use of self-regulatory strategies in mathematics and their motivational and affective determinants. Participants of the study were 344 fifth- and sixth-grade Greek students. Students were asked to complete self-reported measures regarding the strategies they use to self-regulate mathematics learning, their achievement goals in relation to mathematics, their self-efficacy concerning mathematics learning and achievement, the value they attribute to mathematics as a subject domain and their enjoyment of mathematics learning. Structural equation modelling confirmed a mediation model, that is, students’ mathematics self-efficacy, value beliefs about mathematics and enjoyment mediated the effects of achievement goals on reported strategy use. Results are discussed in terms of implications for elementary students’ self-regulated learning skills.     

Mathematics achievement and mathematics learning strategies: Cognitive competencies and construct differentiation

Responding to a survey requires cognitive abilities similar to those for any other linguistic task. We argue that, when faced with a cognitively challenging task, individuals respond by simplifying the task, declining it, or performing it poorly. Using the 2003 Program for International Student Assessment (PISA 2003) data sets, we document that the extent of construct differentiation in students’ mathematics learning strategies is strongly associated with their level of mathematics achievement. Likewise, the higher the level of mathematics achievement, the lower is the probability of a non-response to the mathematics learning strategy questions. Finally, the higher the students’ level of mathematics achievement, the more varied were their responses to the learning strategies items. These associations were examined across 40 participating countries.     

Perceived Classroom Control,Self-Regulated Learning Strategies,and Academic Achievement

Relations between perceived classroom control, self-regulation strategies and academic achievement were investigated in a sample of 302 sixth grade students. Four distinct perceived classroom control styles were determined, based on the balance between teacher and student control over learning. It was hypothesised that student mathematics achievement would be contingent on the combined effects of teacher and student control: it would be highest when both teacher and student control is high, and would be lowest when both of them are low. Student adoption of self-regulated learning strategies would be linked to the net effect of student control: they would be highest when student control is high and teacher control is low, and would be lowest when teacher control is high and student control is low. The data tended to support these hypotheses, indicating that both achievement and self-regulation strategies were contingent on classroom processes.     

Explaining the gender gaps in mathematics achievement and attitudes: The role of societal gender equality

The gender stratification hypothesis maintains that higher levels of societal gender equity predict smaller gender gaps in mathematics achievement and attitudes. Using data from the Program for International Student Assessment (PISA) across 56 countries, this study aims to provide a thorough empirical test of the gender stratification hypothesis. We employ a novel two-stage empirical strategy to investigate the link between societal gender equities and gender differences in mathematics achievement and attitudes. In the first stage, we use a semiparametric Oaxaca-Blinder (OB) method to decompose the gender gaps in each country into a part that is explained by gender differences in observable characteristics and a part that remains unexplained. In the second stage, we examine the relationships between the unexplained parts of the gender gaps and country-specific gender equity measures. The results highlight the importance of gender equity in the labor market in explaining cross-country variation in the gender math gap. We find that lower gender wage gap is significantly associated with a smaller unexplained part of the gender math gap favoring boys. In terms of the gender gaps in math attitudes, the results yield mixed support for the gender stratification hypothesis.     

Do inequalities in parents’ education play an important role in PISA students’ mathematics achievement test score disparities?

This paper measures and decomposes socioeconomic-related inequality in mathematics achievement in 15 European Union member states. Data is taken from the 2003 wave of the OECD Programme for International Student Assessment (PISA). There is socioeconomic-related inequality in mathematics achievement, favoring the higher socioeconomic groups in each country. There are important differences among countries. The inequality is higher in Germany, Greece, Great Britain, Belgium, and Portugal and is lower in Sweden and Finland. Socioeconomic factors represent between 14.9% and 34.6% of the overall inequality in education.     

The mathematics skills of school children: how does England compare to the high-performing East Asian jurisdictions?

The Programme for International Student Assessment (PISA) and Trends in Mathematics and Science Study are two highly respected studies of school pupils’ academic achievement. English policy-makers have been disappointed with school children’s performance on these tests, particularly in comparison to the strong results of young people from East Asia. In this paper, we provide new insight into the England–East Asia gap in school children’s mathematics skills. We do so by considering how cross-national differences in math test scores change between ages 10 and 16. Our results suggest that, although average math test scores are higher in East Asian countries, this achievement gap does not increase between ages 10 and 16. We thus conclude that reforming the secondary school system may not be the most effective way for England to ‘catch up’ with the East Asian nations in the PISA math rankings. Rather, earlier intervention, during pre-school and primary school, may be needed instead.     

Classroom disciplinary climate of schools and gender – evidence from the Nordic countries

ABSTRACT

Classroom disciplinary climate has emerged as a crucial factor with regard to student achievement. However, most previous studies have not explored potential gender differences in both students’ perceptions of the classroom disciplinary climate and the association between classroom disciplinary climate and student learning. Using data from the Organisation for Economic Co-operation and Development (OECD) Programme for International Student Assessment (PISA) 2012 for the Nordic countries, we found a significant association between the perceived classroom disciplinary climate of schools and students’ mathematics performance across countries. On the basis of an analysis of a pooled sample consisting of all 5 Nordic countries, we found that the correlation between classroom disciplinary climate of schools and maths achievement is significantly stronger for boys than for girls. Further analyses showed that this finding may partly be attributable to gender differences in the perception of the disciplinary climate of schools, whereby boys seemed to perceive the classroom disciplinary climate of schools more positively than girls.     

INFLUENCES OF DISCIPLINARY CLASSROOM CLIMATE ON HIGH SCHOOL STUDENT SELF-EFFICACY AND MATHEMATICS ACHIEVEMENT: A LOOK AT GENDER AND RACIAL–ETHNIC DIFFERENCES

The present study investigated the role of disciplinary climate in the classroom and student math self-efficacy on math achievement. The student part of the Program for International Student Assessment (PISA) 2003 survey containing 4,199 U.S. observations was employed in a weighted least squares nested multiple regression framework to predict math achievement from disciplinary climate and self-efficacy in addition to several control variables. The results showed that improvement in disciplinary climate was associated with a reduction in the achievement gap whereas improvement in self-efficacy was associated with an expansion in that gap. These effects varied across race and gender. A significant interaction effect was found between the disciplinary climate and self-efficacy. Educational implications are discussed.     

Student engagement and mathematics achievement: Unraveling main and interactive effects

The present study explored the relationships between student engagement and mathematics achievement for 295,416 15‐year‐old students from 11,767 secondary schools in 34 countries who participated in the Program for International Student Assessment (PISA) 2012. Affective engagement was measured by students’ mathematics interest (InterestMath) and perceived usefulness of schooling (PerceptionSch), behavioral engagement by behaviors facilitating mathematics learning (BehaviorMath) and participation in mathematics learning activities (ActivitiesMath), and cognitive engagement by openness (Openness) and perseverance (Perseverance) in problem‐solving. Results showed that students who were more engaged had higher levels of academic achievement, with cognitive engagement having the strongest association with achievement. Results also showed that students who were highly engaged in two domains had higher achievement levels than peers who were engaged in only one domain in six pairwise comparisons (InterestMath‐BehaviorMath, InterestMath‐Openness, InterestMath‐Perseverance, PerceptionSch‐BehaviorMath, PerceptionSch‐Openness, PerceptionSch‐Perseverance). These results highlighted the importance of a whole‐school based approach in enhancing student achievement.