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Hwang, Jihyun; Ham, Yeajin – Journal on Mathematics Education, 2021
We investigated how the opportunity to learn (OTL) with different types of mathematics tasks are related to mathematical literacy and the role of perceived control in the relationship between OTL and mathematical literacy. The structural equation modeling was applied to the data of 1,649 Korean students from the PISA 2012 database. OTL with the…
Descriptors: Mathematics Instruction, Mathematics Skills, Thinking Skills, Foreign Countries
Tarazi, Nadine – ProQuest LLC, 2016
In the United States (US) and in the United Arab Emirates (UAE) students are still attaining poorly in high school mathematics despite efforts from educational leaders to improve the math curricula both in middle and high schools. Results of the Program for International Student Assessment (PISA) revealed that 31 countries out of 65 had better…
Descriptors: Algebra, Mathematics Instruction, Teaching Methods, Mathematics Achievement
Wagemaker, Paula, Ed. – International Association for the Evaluation of Educational Achievement, 2007
As part of its mission, the International Association for the Evaluation of Educational Achievement (IEA) is committed to the development of the community of researchers who work in the area of assessment both nationally and internationally. The association also has a commitment to provide policymakers with the types of data and analyses that will…
Descriptors: Educational Strategies, Mathematics Education, Teacher Effectiveness, Science Achievement
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