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This publication includes detailed information on how to analyse the PISA data, enabling researchers to both reproduce the initial results and to undertake further analyses.
Rev. ed. of: PISA 2003 data analysis manual. SPSS users. c2005.
This publication includes detailed information on how to analyse the PISA data, enabling researchers to both reproduce the initial results and to undertake further analyses.
The OECD Programme for International Student Assessment (PISA) surveys collected data on students’ performance in reading, mathematics and science, as well as contextual information on students’ background, home characteristics and school factors ...
This publication provides all the information required to understand the PISA 2003 educational performance database and perform analyses in accordance with the complex methodologies used to collect and process the data. It includes worked examples providing full syntax in SAS®.
This volume offers a critical examination of the Programme for International Students Assessment (PISA), focusing on its origins and implementation, relationship to other international large-scale assessments, and its impacts on educational policy and reform at national and cross-national levels. Using empirical data gathered from a research project carried out by the CeiED at Lusofona University, Lisbon, the text highlights connections between PISA and emergent issues including the international circulation of big science, expertise and policy, and identifies its conceptual and methodological limits as a global governance project. The volume ultimately provides a novel framework for understanding how OECD priorities are manifested through a regulatory instrument based on Human and Knowledge Capital Theory, and so makes a powerful case to search for new humanistic approaches. This text will benefit researchers, academics and educators with an interest in education policy and politics, international and comparative education, and the sociology of education more broadly. Those interested in the history of education will also benefit from this volume.
This book provides a systematic study of the Programme for International Student Assessment (PISA) based on big data analysis, aiming to examine the contextual factors relevant to students’ digital reading performance. The author first introduces the research landscape of educational data mining (EDM) and reviews the PISA framework since its launch and how it has become an important metric to assess the knowledge and skills of students from across the globe. With a focus on methodology and its applications, the book explores extant scholarship on the dynamic model of educational effectiveness, multi-level factors of digital reading performance, and the application of EDM approaches. The core chapter on the methodology examines machine learning algorithms, hierarchical linear modeling, mediation analysis, and data extraction and processing for the PISA dataset. The findings give insights into the influencing factors of students’ digital reading performance, allowing for further investigations on improving students’ digital reading literacy and more attention to the advancement of education effectiveness. The book will appeal to scholars, professionals, and policymakers interested in reading education, educational data mining, educational technology, and PISA, as well as students learning how to utilize machine learning algorithms in examining the mass global database.
This book provides an overview of the evidence emerging from PISA 2009 on the performance and socio-economic background of children of immigrants, their performance in school, the effects of age at arrival, and impacts of migration policies.
The results from PISA 2015 and TIMSS 2015 were published in November and December 2016. All the Nordic countries participated in PISA. Denmark, Finland, Norway and Sweden participated in TIMSS grade 4 and Norway and Sweden participated in TIMSS grade 8. The Nordic countries have similarities but also differences, which makes it interesting and valuable to carry out analyses in a Nordic perspective. In this report researchers from all the Nordic countries have done in-depth analyses on different policy relevant themes based on the results presented in 2016. The purpose of this report has been to present policy relevant analyses of TIMSS and PISA in a way that is accessible for policy makers on different levels in the Nordic countries, with the aim to contribute to further development in the education area.
This volume of PISA 2009 results examines how human, financial and material resources, and education policies and practices shape learning outcomes.