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Deng, Zongyi – Teachers and Teaching: Theory and Practice, 2019
Employing Connelly and Xu's (this issue) conceptualisation of reciprocal learning, the article explores the potential for reciprocal learning about pedagogy provided by a body of PISA-inspired literature on high-performing education systems. I argue that the opportunities for reciprocal learning provided by that body of literature is rather…
Descriptors: Foreign Countries, Reciprocal Teaching, Teaching Methods, High Achievement
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Uysal, Sengul; Banoglu, Koksal – Cypriot Journal of Educational Sciences, 2018
This study aims to analyse the relationship between students' mathematics achievement in Programme for International Student Assessment (PISA) 2012 and the instructional climate-related factors in the index of principals' perceptions (learning hindrance, teacher morale and teacher intention). As preliminary analysis procedure, the chi-squared…
Descriptors: Foreign Countries, Mathematics Achievement, Educational Environment, Administrator Attitudes
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Güzeller, Cem Oktay; Eser, Mehmet Taha; Aksu, Gökhan – International Journal of Progressive Education, 2016
This study attempts to determine the factors affecting the mathematics achievement of students in Turkey based on data from the Programme for International Student Assessment 2012 and the correct classification ratio of the established model. The study used mathematics achievement as a dependent variable while sex, having a study room, preparation…
Descriptors: Foreign Countries, Mathematics Achievement, Secondary School Students, Grade 10
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Azigwe, John Bosco – Journal of Education and Practice, 2016
International surveys of student achievement are becoming increasingly popular with governments around the world, as they try to measure the performance of their country's education system. The main reason for this trend is the shared opinion that countries will need to be able to compete in the "knowledge economy" to assure the economic…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Chu, Man-Wai; Babenko, Oksana; Cui, Ying; Leighton, Jacqueline P. – International Journal of Testing, 2014
The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was explained…
Descriptors: Hierarchical Linear Modeling, Secondary School Students, Student Attitudes, Educational Environment
Observatory on Borderless Higher Education, 2010
This week, the Organisation for Economic Cooperation and Development (OECD) is publishing the findings of new research undertaken to explore the relationship between educational spending and economic growth. The report, "The High Cost of Low Educational Performance--The Long-Run Economic Impact of Improving PISA Outcomes", employs recent…
Descriptors: Economic Progress, Higher Education, Economic Impact, Foreign Countries
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Dupriez, Vincent; Dumay, Xavier; Vause, Anne – Comparative Education Review, 2008
School systems worldwide respond in particular ways to students' academic heterogeneity, and different countries have developed different strategies to manage such heterogeneity. Whereas some countries separate children according to distinctive educational routes (or tracks) at early ages, others rely on intensive use of grade retention, while…
Descriptors: Foreign Countries, Comparative Education, Academic Achievement, Institutional Characteristics
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