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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
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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
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Pons, Xavier – European Educational Research Journal, 2012
The aim of this article is to open discussion by analysing the cognitive reception of PISA in six European countries which were studied in the European collective research project KNOWandPOL (Knowledge and Policy in Education and Health Sectors). Reception does not mean here a simple vertical transmission of messages from the international level…
Descriptors: Student Evaluation, Evaluation Research, Public Opinion, Cognitive Processes
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