Science academic achievement is a key construct for examining students' science learning outcomes. While international comparative assessments like TIMSS and PISA have shown high science achievement of Korean middle school students, there is a lack of comprehensive investigation of factors influencing the achievement using domestic data.…

Multilevel bifactor item response theory (IRT) models are commonly used to account for features of the data that are related to the sampling and measurement processes used to gather those data. These models conventionally make assumptions about the portions of the data structure that represent these features. Unfortunately, when data violate these…

The aim of this study was to investigate the comparability of feedback across culturally diverse countries by assessing the measurement invariance in PISA 2015 data. A multi-group confirmatory factor analysis showed that the feedback scale implemented in PISA 2015 was not invariant across countries. The intercepts and residuals of the factor model…

This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…

Purpose: The purpose of this paper is to combine seemingly unrelated factors to explain global competitiveness. The study argues that school discipline and education investment affect competitiveness with the association being mediated by educational performance. Crucially, diachronic effects of discipline on performance are tested to demonstrate…

Recognizing the limitations of the existing frameworks and models applied to estimate the learning loss caused by COVID-19 across the world by different studies, and the urgent need for estimating such loss at the different education levels, this paper, employs the Education Value Chain Analysis ( EVCA) approach as a new paradigm, attempts to…

Since students have lost their interest in school science, several student-centered approaches, such as using topics that are relevant for students, inquiry-based learning, and discussion-based learning have been implemented to attract pupils into science. However, the effect of these approaches was usually measured in small-scale research, and…

This study investigated how affective factors like attitude and motivation contribute to science achievement in PISA 2006 using linear structural modeling. The data set of PISA 2006 collected from 4942 fifteen-year-old Turkish students (2290 females, 2652 males) was used for the statistical analyses. A total of 42 selected items on a four point…

Introduction: Evidence has remained scarce whether teaching practices might be linked to students' educational equality. This study investigated (i) whether student-oriented teaching practices are associated with students' learning outcomes in mathematics, and (ii) whether student-oriented teaching might increase equality in learning outcomes…

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.…

This study examines the data of students from Finland (n = 8,829) and Turkey (n = 4,848) who participated in the 2012 Programme for International Student Assessment (PISA). The purpose of this study is to discern whether the use and availability of information and communication technologies (ICT) at home and at school have a differential impact on…

Drawing on the Programme for International Student Assessment 2003 data set comprising over 190,000 15-year-old students in 25 countries, the current study sought to examine the role of arts-related information and communication technology (ICT) use in students' problem-solving skill and science and mathematics achievement. Structural equation…

The purpose of this article is to identify the order of significance of the variables that affect science and mathematics achievement in middle school students. For this aim, the study deals with the relationship between science and math in terms of different angles using the perspectives of multiple causes-single effect and of multiple…

International assessments, such as the Program for International Student Assessment (PISA), are being used to recommend educational policies to improve student achievement. This study shows that the cross-sectional estimates behind such recommendations may be biased. We use a unique data set from one country that applied the PISA mathematics test…

A large body of research has demonstrated a big-fish--little-pond effect (BFLPE) by showing that equally able students have lower academic self-concepts in high-ability schools than in low-ability schools. Although the BFLPE generalizes across many countries, it varies significantly between countries. The reasons for this variation are still…