This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…

There is currently a lack of a more integrated perspective on reading literacy education. In preschool reading activities, it's important to maximize an individual's potential for reading literacy development with limited nurturing energy. Based on self-regulated theory and metacognitive models, this study explored the pathway model of the…

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…

It is crucial to examine the alignment of different exam results conducted by various organizations to improve the quality of assessment. The research used a document analysis method with recent, publicly available national and international reports addressing the research question. The following main question was examined through the document…

Research on grit indicates that perseverance positively predicts academic achievement. Yet, the mechanisms through which perseverance might lead to academic success remain less explored, particularly in cross-cultural research. The current study investigated such mechanisms by examining possible mediating effects of students' use of self-regulated…

Background: The idea of using low-stakes assessment results is often mentioned when designing educational system reforms. However, when tests have no consequences for the students, test takers may not make enough effort when completing the test, and their lack of engagement may negatively affect the validity of the conclusions of the studies that…

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…

Although previous research showed that discrete social-emotional skills such as empathy, motivation, and social relationships in school significantly predict achievement, students tend to use various social-emotional skills in combination. As such previous investigations cannot comment on how different combinations or profiles of students'…

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…

This study investigates the multivariate relationships among socioeconomic factors, special education coverage (SEC), and reading across countries participating in the Program for International Student Assessment (PISA). Three socioeconomic factors were considered: (a) gross national income per capita, (b) income inequality via the Gini index, and…

Quality teaching is the most significant systemic factor contributing to student achievement. Attracting, developing and retaining effective teachers are important goals for Australia as they are for all nations. Debate rages currently about criteria for selection of students into Initial Teacher Education (ITE). The Australian Tertiary Admission…

This study investigated the factors underlying the estimation of learner self-confidence during explanations with a conversational agent in an online explanation task. Based on reviews of previous studies, we focused on how factors such as the learner's task activities and personal characteristics can be predictors. To examine these points, we…

This study intends to compare and contrast student and school factors that are associated with students' mathematics self-efficacy in the United States and China. Using hierarchical linear regressions to analyze the Programme for International Student Assessment (PISA) 2012 data, this study compares math self-efficacy, achievement, and variables…

This paper combines the Australian Programme for International Student Assessment (PISA) micro-level data with its longitudinal continuation, the Longitudinal Survey of Australian Youth data, to measure the association between individual PISA scores and early school dropouts. We use multilevel modelling to distinguish between student and school…

This study tested the effects of the modality of reading formats (electronic vs. print), online reading habits (engagement in different online reading activities), use of cognitive strategies, metacognitive knowledge, and navigation skills on printed and electronic reading literacy across regions. Participants were 31,784 fifteen-year-old students…