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Bozak, Ali; Aybek, Eren Can – International Journal of Contemporary Educational Research, 2020
The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental…
Descriptors: Artificial Intelligence, Networks, Regression (Statistics), Achievement Tests
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Teig, Nani; Scherer, Ronny; Kjaernsli, Marit – Journal of Research in Science Teaching, 2020
Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses ("product data"), students' log files offer additional…
Descriptors: Science Process Skills, Thinking Skills, Inquiry, Simulation
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Chen, Jiangping; Zhang, Yang; Wei, Yueer; Hu, Jie – Research in Science Education, 2021
Science excellence is associated not only with a student's inherent aptitude but also a range of contextual factors. The objective of this paper was to identify the most important contextual characteristics of top performers in scientific literacy, by simultaneously considering factors at the PISA questionnaire-based student, family, and school…
Descriptors: Scientific Literacy, Science Achievement, High Achievement, Foreign Countries
Echazarra, Alfonso – OECD Publishing, 2018
In the growing world of digital technology everything is about speed: computer processors have doubled their performance every two years for decades; the future 5G mobile phone generation is predicted to be about 100 times faster than the current 4G and 20 000 times faster than the "ancient" 3G; and, according to the International…
Descriptors: Internet, Computer Use, Use Studies, Adolescents
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Lau, Kwok Chi – Asia-Pacific Forum on Science Learning and Teaching, 2014
The study has integrated the data from PISA 2006 to 2012 to give an overall picture of the cognitive and affective performances and pedagogy of East Asian regions on PISA scientific literacy. Attempts are made to account for their performances based on the PISA data and cultural characteristics. The cognitive science performance of East Asian…
Descriptors: Foreign Countries, Science Education, Scientific Literacy, Achievement Tests
Lavy, Victor – Centre for the Economics of Education (NJ1), 2010
There are large differences across countries in instructional time in public schooling institutions. For example, among European countries such as Belgium, France and Greece, pupils aged 15 have an average of over a thousand hours per year of total compulsory classroom instruction while in England, Luxembourg and Sweden the average is only 750…
Descriptors: Time on Task, Time Factors (Learning), Academic Achievement, Achievement Gap
Lavy, Victor – National Bureau of Economic Research, 2010
There are large differences across countries in instructional time in schooling institutions. Can these differences explain some of the differences across countries in pupils' achievements in different subjects? While research in recent years provides convincing evidence about the effect of several inputs in the education production function,…
Descriptors: Productivity, Middle Schools, Mathematics Achievement, Academic Achievement
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Miller, David C.; Sen, Anindita; Malley, Lydia B. – National Center for Education Statistics, 2007
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 and the United Kingdom. The report draws on the most current information about education from three primary sources: the Indicators of…
Descriptors: Comparative Analysis, Foreign Countries, Enrollment, Youth