Since the onset of COVID-19 pandemic, there has been a significant rise in student absenteeism in the US and elsewhere. Meanwhile, food insecurity remains a persistent issue across the globe, including in the US. Food insecurity shapes students' immediate and wider contexts and may worsen school attendance. Applying ecological systems theory, we…

The objective of the present study was to investigate item-, examinee-, and country-level correlates of rapid guessing (RG) in the context of the 2018 PISA science assessment. Analyzing data from 267,148 examinees across 71 countries showed that over 50% of examinees engaged in RG on an average proportion of one in 10 items. Descriptive…

In this study, 15-year-old Turkish students' profiles of using ICT at home and at school were identified, and the extent to which these profiles were associated with their academic achievement was determined. Moreover, the study investigated the effects of the students' age of first usage of digital device and internet, their gender and their…

Determining the ethnic differences in academic performance among immigrant students is important in terms of adapting them into the system they live in. Examining the variables related to students' performance will be a guide in overcoming the issue. The purpose of this study is to examine the direct effect of economic, social, and cultural status…

The COVID-19 pandemic resulted in significant disruption in schooling worldwide. This paper uses global test score data to estimate learning losses. It models the effect of school closures on achievement by predicting the deviation of the most recent results from a linear trend using data from all rounds of the Programme for International Student…

This paper uses data from PISA 2018 in Germany to explore how the students' chronotype (known as larks and owls) and their academic achievement is related to truancy. We used an adapted version of the Munich Chronotype Questionnaire (MCTQ) to measure the students' chronotype. The results demonstrate a correlation between the students' social jet…

Background: Research has shown that teacher feedback is critical for student learning and well-being (Siegle & McCoach, 2007; Wisniewski et al., 2020). However, teachers often provide more positive feedback to students from high socioeconomic backgrounds than to those from low socioeconomic backgrounds (Rimm-Kaufman et al., 2000; Tobisch &…

The present study explores the antecedents of first- and second-generation (1G and 2G) immigrant students' academic performance using PISA 2018 data. The study draws on an international sample of 11,582 students from 534 schools in 20 countries and focuses on PISA schools that catered to a mix of 1G and 2G students. The study explores the role…

Students' socioeconomic status (SES) is not only directly related to mathematics achievement but also indirectly related to mathematics achievement through their unequal opportunity to learn (OTL). Despite a plethora of studies about how mathematics achievement is associated with SES and OTL, few systematic studies have examined the differential…

This study examines the data of students from the United States (n = 2,592) who participated in the 2018 Programme for International Student Assessment (PISA). The purpose of this study is to probe the relationship between students' use of information and communication technologies (ICT) and their academic performance in mathematics and science.…

The advantages and disadvantages of single-sex schooling continue to be a source of policy and public debate. Previous empirical evidence is somewhat ambiguous, with some studies finding a positive impact of single-sex schooling on education achievement and others finding no differences across school types. The relationship between single-sex…

Utilizing the Programme for International Student Assessment 2012 Shanghai dataset (N=5,177), this study examined the relationship between school disciplinary climate aggregated from mathematics classrooms and student mathematics learning outcomes, including mathematics achievement and intrinsic and instrumental motivation to learn mathematics,…

Information and communication technology (ICT) is key to educational development. This study explores the mechanism influencing the use of ICT on students' science literacy. We utilized two-level hierarchical linear models and structural equation models to analyze data collected from the 2015 Program for International Student Assessment (PISA) in…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

The present study was aimed to investigate whether Finnish and Danish students' math achievement differed and which student-level factors, if any, explained the achievement gaps and whether teacher participation in decision making and teacher morale, among the school-level factors, explained the achievement gaps in Finland and Denmark. To this…