The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

Since the late 1980s, school curriculum revisions in Japan have sought to promote capabilities and dispositions that transcend subject boundaries and are often labelled 'competencies' in international curricular discourse. This study examines policy documents over the period, showing how Japanese policymakers have sought to navigate pressures…

International large-scale assessments (ILSA) are an important source of information for education policymakers across the globe. Despite sponsors' warnings, when results are published, media attention focuses on country rankings and changes in scores. Score changes are evaluated using a two-sided z-statistic, with statistical significance declared…

Background: In recent years, there has been generalized concern in all countries about increasing the younger population's level of financial literacy. However, there is still little evidence on the key factors explaining financial literacy, as the existing literature is inconclusive about this issue. This paper focuses on exploring whether…

The ongoing debate over the positive effects of a growth mindset on student outcomes has called for investigations into its contextual moderators (see Yeager & Dweck in Am Psychol 75(9):1269--1284, 2020. 10.1037/amp0000794). This study examined the potential moderating role of parental support in the associations of a growth mindset with…

Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring…

Bayesian Networks (BNs) are probabilistic graphical statistical models that have been widely used in many fields over the last decade. This method, which can also be used for educational data mining (EDM) purposes, is a fairly new method in education literature. This study models students' science success using the BN approach. Science is one of…

Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian…

This study aims to recommend applications of quality assurance for schools of basic education by analysing the school quality assurance applications of some countries which were successful at international tests and by interviewing university lecturers. This current study first analyses the quality assurance applications used in schools in some…

This paper explores how the OECD acts a broker of knowledge-making in the development of PISA, the most widely known International Large-Scale Assessment. Drawing on the work of Bandola-Gill, Grek, and Tichenor (2022) and analysing empirical data gathered through interviews with OECD staff and PISA contractors and experts, the paper analyses how…

Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…

The increasing concerns of the impact of the Programmes for International Student Assessment (PISA) on education policymaking along with its global reach call for the need of evaluating PISA's impact on student learning. However, most extant studies focus on arguing its impact at the policy level, without taking a further look into it at the local…

This article examines the effects of education system types and characteristics on changes in the distributions of literacy and numeracy skills during the upper secondary phase of education and training. Whereas there is a substantial literature on system effects on skills during the primary and lower secondary phases of education, much less has…

Empirical research on teachers' professional knowledge is mostly conducted worldwide with reference to the construct 'pedagogical content knowledge' (PCK) introduced by Lee S. Shulman. In the 'Consensus Model' (CM) and the 'Refined Consensus Model' (RCM), PCK was further developed and differentiated. Nevertheless, neither PCK nor CM and RCM…

Though teachers in schools are increasingly being asked to take responsibility for the education and training of prospective and practicing teachers, little empirical research has been undertaken into the support that they require to perform their duties effectively. This study provides an international needs analysis of the professional learning…