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Esra Sözer Boz – Education and Information Technologies, 2025
International large-scale assessments provide cross-national data on students' cognitive and non-cognitive characteristics. A critical methodological issue that often arises in comparing data from cross-national studies is ensuring measurement invariance, indicating that the construct under investigation is the same across the compared groups.…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
Liem, Gregory Arief D.; Martin, Andrew J.; Anderson, Michael; Gibson, Robyn; Sudmalis, David – Journal of Educational Psychology, 2014
Drawing on the Programme for International Student Assessment 2003 data set comprising over 190,000 15-year-old students in 25 countries, the current study sought to examine the role of arts-related information and communication technology (ICT) use in students' problem-solving skill and science and mathematics achievement. Structural equation…
Descriptors: Problem Solving, Science Achievement, Mathematics Achievement, Computer Use
Li, Hongli – Assessment in Education: Principles, Policy & Practice, 2016
Drawing on the programme for international student assessment 2009 US data-set, this study examines the relationship between formative assessment and students' reading achievement using a structural equation modelling approach. We find that formative assessment is positively related to students' reading achievement directly and indirectly (through…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Raufelder, Diana; Sahabandu, Diomira; Martínez, Guadalupe Sánchez; Escobar, Victoria – Educational Psychology, 2015
It is well known that teachers frequently observe a decline in the scholastic motivation of many adolescent students, which in turn is often associated with a decline in students' individual school self-concept. In contrast, less is known about the association between students' individual school self-concept and school engagement, or the related…
Descriptors: Foreign Countries, Middle School Students, Grade 7, Grade 8
Li, Hongli; Fortner, C. Kevin; Lei, Xiaoxuan – School Effectiveness and School Improvement, 2015
In this study, we examined relationships between the use of test results and US students' math, reading, and science performance in the Programme for International Student Assessment (PISA) 2009. Based on a literature review, we hypothesized that the 16 items in the PISA school questionnaire, which are related to the use of test results, can be…
Descriptors: Academic Achievement, Tests, Evaluation Utilization, Mathematics Achievement
Guo, Jiesi; Parker, Philip D.; Marsh, Herbert W.; Morin, Alexandre J. S. – Developmental Psychology, 2015
Drawing on the expectancy-value model, the present study explored individual and gender differences in university entry and selection of educational pathway (e.g., science, technology, engineering, and mathematics [STEM] course selection). In particular, we examined the multiplicative effects of expectancy and task values on educational outcomes…
Descriptors: Foreign Countries, STEM Education, Expectation, Academic Achievement
Greiff, Samuel; Kretzschmar, André; Müller, Jonas C.; Spinath, Birgit; Martin, Romain – Journal of Educational Psychology, 2014
The 21st-century work environment places strong emphasis on nonroutine transversal skills. In an educational context, complex problem solving (CPS) is generally considered an important transversal skill that includes knowledge acquisition and its application in new and interactive situations. The dynamic and interactive nature of CPS requires a…
Descriptors: Computer Assisted Testing, Problem Solving, Difficulty Level, Information Technology
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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