The importance of non-cognitive skills for academic achievement and future success has been emphasized but the invariance among the relationships of these constructs across different groups and countries is rarely studied. In this study, we used a novel approach, psychometric network analysis, to analyze the invariance of connections between…

In this article, a science interest network model (SINM) is introduced and a first empirical test of the model is presented. The SINM models interest as a dynamic relational construct, in which different interest components, that is, affective, behavioral, and cognitive components and related motivational components mutually reinforce one another…

The purpose of this research was to determine classification accuracy of the factors affecting the success of students' reading skills based on PISA 2018 data by using Artificial Neural Networks, Decision Trees, K-Nearest Neighbor, and Naive Bayes data mining classification methods and to examine the general characteristics of success groups. In…

In 2018 the OECD added a set of global competence measures to its PISA programme, and reported on the outcomes in November 2020. In this paper I explore the provenance of the idea of global competence underpinning the OECD-PISA Global Competence framework and measure. The official account by the OECD references the OECD PISA Governing Board,…

This paper examines the Organisation for Economic Cooperation and Development's (OECD) PISA for Schools, a local variant of the more-renowned 'main PISA' test that measures and compares individual school performance on reading, mathematics and science against international schooling systems. Here, I address the governance implications of how PISA…

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…

The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental…

This paper explores 1) why humanistic literacy is important in welcoming the industrial revolution 4.0, especially in the academic community and 2) how the implementation of MBKM (Collegiate Independent Learning) programs can be the main support in responding to industry 4.0. The purpose of this paper is to illustrate "how" the academic…

Drawing on archival sources, interviews, and research literature, this article offers new insights into the making, structure and long-term effects of the International Educational Indicators (INES) programme of the Organisation for Economic Co-operation and Development (OECD). The article argues that INES was crucial in setting the OECD on the…

This article explores the discourses concerning, and actors promoting, the recent 'rise' of East Asia in the global trend of education policy borrowing. It focuses on the ways in which English policymakers and media have represented the 'success' of East Asian education systems in international large-scale tests. Taking the Organization for…

Recently, students' interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International…

The European Union--comprising 28 member states with individual sovereignty in the formation and implementation of education policy--has developed research and communication strategies to facilitate the exchange of best practices, gathering and dissemination of education statistics and, perhaps most importantly, advice and support for national…

Background: This paper analyses the role of, and approach to, policy referencing and borrowing in Hong Kong's recent reforms that culminated in the creation of its New Academic Structure and the Hong Kong Diploma of Secondary Education. Main argument: It argues that Hong Kong has gone further than most jurisdictions not just in responding to…

The demographic shift occurring in Serbia has had a profound effect on the education system. The student population has declined by 21 percent in primary schools and 13 percent in secondary schools since 2000, but the school network has changed little since then. This has resulted in many schools with few students. Furthermore, the total number of…

IES is the primary research, evaluation, and statistics arm of the U.S. Department of Education. Established through the Education Sciences Reform Act of 2002 (ESRA), the Institute's mission is to expand fundamental knowledge and understanding of education and to provide education leaders and practitioners, parents and students, researchers, and…