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Eichmann, Beate; Goldhammer, Frank; Greiff, Samuel; Brandhuber, Liene; Naumann, Johannes – Journal of Educational Psychology, 2020
In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…
Descriptors: Problem Solving, Data Use, Differences, Achievement Tests
OECD Publishing, 2019
Problems associated with the environment loom large over the future well-being of young generations. A previous issue of PISA in Focus (PISA in Focus 87) shows that in 2015 many 15-year-old students believed that the future -- their future -- was going to be worse, environmentally, than the present. In particular, only a minority of students…
Descriptors: Positive Attitudes, Foreign Countries, Achievement Tests, International Assessment
OECD Publishing, 2016
Socio-economically advantaged and disadvantaged students are not equally exposed to mathematics problems and concepts at school. Exposure to mathematics at school has an impact on performance, and disadvantaged students' relative lack of familiarity with mathematics partly explains their lower performance. Widening access to mathematics content…
Descriptors: Economically Disadvantaged, Equal Education, Educational Opportunities, Access to Education
Stephens, Maria; Warren, Laura K.; Harner, Ariana L. – National Center for Education Statistics, 2015
The "Comparative Indicators of Education" report series has been published on a biennial basis since it began in 2002, although this year's is the first to expand its focus to the G-20 countries, having previously been focused on the G-8 countries. "Comparative Indicators of Education in the United States and Other G-20 Countries:…
Descriptors: Foreign Countries, Educational Indicators, Global Approach, International Assessment
Doyle, Ann – Compare: A Journal of Comparative Education, 2008
This article evaluates PISA 2000 as a resource for providing information on educational attainment and inequality, focusing on France and England. Going beyond pupils' performance, it assesses levels of educational inequality by examining distributions of scores and the relationship between socio-economic status and performance. This review raises…
Descriptors: Equal Education, Educational Attainment, Foreign Countries, Comparative Education
Miller, David C.; Sen, Anindita; Malley, Lydia B.; Burns, Stephanie D. – National Center for Education Statistics, 2009
This report describes how the education system in the United States compares with education systems in the other Group of Eight (G-8) countries (Canada, France, Germany, Italy, Japan, the Russian Federation, the United Kingdom) that are among the world's most economically developed countries and among the United States' largest economic partners.…
Descriptors: Foreign Countries, International Studies, Developed Nations, Educational Indicators
Schleicher, Andreas – Intercultural Education, 2006
This report examines how immigrant students performed, mainly in mathematics and reading, but also in science and problem-solving skills in the PISA 2003 assessment, both in comparison with native students in their adopted country and relative to other students across all countries covered in the report (the "case countries"). In…
Descriptors: Foreign Countries, Learning Motivation, First Generation College Students, Immigrants
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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