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UNESCO International Institute for Educational Planning, 2023
In February 2018, the IIEP-UNESCO Office in Dakar, with the support of Agence Française de Développement, launched a programme to support the monitoring of education quality in sub-Saharan Africa. The programme's primary objective is to assist education authorities in diagnosing and regulating their practices across all levels, contributing to the…
Descriptors: Educational Assessment, International Assessment, Secondary School Students, Achievement Tests
Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
Gillis, Shelley; Polesel, John; Wu, Margaret – Australian Educational Researcher, 2016
This article considers the role played by policy makers, government organisations, and research institutes (sometimes labelled "think tanks") in the analysis, use and reporting of PISA data for the purposes of policy advice and advocacy. It draws on the ideas of Rizvi and Lingard (Globalizing Education Policy, 2010), Bogdandy and…
Descriptors: Educational Research, Organizations (Groups), Educational Policy, Data Analysis
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
Chen, Haiwen H.; von Davier, Matthias; Yamamoto, Kentaro; Kong, Nan – ETS Research Report Series, 2015
One major issue with large-scale assessments is that the respondents might give no responses to many items, resulting in less accurate estimations of both assessed abilities and item parameters. This report studies how the types of items affect the item-level nonresponse rates and how different methods of treating item-level nonresponses have an…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Institute of Education Sciences, 2018
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…
Descriptors: Educational Research, Grants, Financial Support, Institutional Mission
Cresswell, John; Schwantner, Ursula; Waters, Charlotte – OECD Publishing, 2015
This report reviews the major international and regional large-scale educational assessments, including international surveys, school-based surveys and household-based surveys. The report compares and contrasts the cognitive and contextual data collection instruments and implementation methods used by the different assessments in order to identify…
Descriptors: International Assessment, Educational Assessment, Data Collection, Comparative Analysis
Rose, Norman; von Davier, Matthias; Xu, Xueli – Educational Testing Service, 2010
Large-scale educational surveys are low-stakes assessments of educational outcomes conducted using nationally representative samples. In these surveys, students do not receive individual scores, and the outcome of the assessment is inconsequential for respondents. The low-stakes nature of these surveys, as well as variations in average performance…
Descriptors: Item Response Theory, Educational Assessment, Data Analysis, Case Studies
Australian Council for Educational Research, 2015
Monitoring Trends in Educational Growth (MTEG) offers a flexible, collaborative approach to developing and implementing an assessment of learning outcomes that yields high-quality, nationally relevant data. MTEG is a service that involves ACER staff working closely with each country to develop an assessment program that meets the country's…
Descriptors: Educational Development, Educational Trends, Progress Monitoring, Educational Quality
Breakspear, Simon – OECD Publishing (NJ1), 2012
Little research has been done into how the results of the Programme for International Student Assessment (PISA) affect national educational reform and policy-making. This paper examines the normative impact of PISA by investigating how, and the extent to which , national policy actors use PISA in policies and practices, to evaluate and improve…
Descriptors: Foreign Students, Academic Achievement, Educational Change, Foreign Countries
Oppedisano, Veruska; Turati, Gilberto – Education Economics, 2015
This paper provides evidence on the sources of differences in inequality in educational scores and their evolution over time in four European countries. Using Programme for International Student Assessment data from the 2000 and the 2006 waves, the paper shows that inequality decreased in Germany and Spain (two "decentralised" schooling…
Descriptors: Evidence, Equal Education, Etiology, Educational Development
Lockheed, Marlaine E. – OECD Publishing, 2015
This report provides a systematic review and empirical evidence related to the experiences of middle-income countries and economies participating in the Programme for International Student Assessment (PISA), 2000 to 2015. PISA is a triennial survey that aims to evaluate education systems worldwide by testing the skills and knowledge of 15-year-old…
Descriptors: Socioeconomic Status, Adolescents, Foreign Countries, Developing Nations
OECD Publishing (NJ3), 2008
This book provides an internationally comparable set of indicators on educational provision for students with disabilities, learning difficulties and disadvantages (DDD). It highlights the number of students involved, where they are educated--special schools, special classes or regular classes--and in what phases of education--pre-primary,…
Descriptors: Special Schools, Learning Problems, Educational Needs, Inclusive Schools
Wu, Margaret – Studies in Educational Evaluation, 2005
In large-scale assessment programs such as NAEP, TIMSS and PISA, students' achievement data sets provided for secondary analysts contain so-called "plausible values." Plausible values are multiple imputations of the unobservable latent achievement for each student. In this article it has been shown how plausible values are used to: (1)…
Descriptors: Error of Measurement, Computation, Educational Research, Educational Assessment
Donovan, Jenny; Hutton, Penny; Lennon, Melissa; O'Connor, Gayl; Morrissey, Noni – Ministerial Council on Education, Employment, Training and Youth Affairs (NJ1), 2008
In July 2001, the Ministerial Council on Education, Employment, Training and Youth Affairs (MCEETYA) agreed to the development of assessment instruments and key performance measures for reporting on student skills, knowledge and understandings in primary science. It directed the newly established Performance Measurement and Reporting Taskforce…
Descriptors: Foreign Countries, Scientific Literacy, Media Literacy, Scientific Concepts
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