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Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
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Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
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Wu, Yin – International Education Studies, 2016
This study intends to compare and contrast student and school factors that are associated with students' mathematics self-efficacy in the United States and China. Using hierarchical linear regressions to analyze the Programme for International Student Assessment (PISA) 2012 data, this study compares math self-efficacy, achievement, and variables…
Descriptors: Mathematics Achievement, Self Efficacy, Mathematics Instruction, Socioeconomic Status
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Mahuteau, S.; Mavromaras, K. – Education Economics, 2014
This paper combines the Australian Programme for International Student Assessment (PISA) micro-level data with its longitudinal continuation, the Longitudinal Survey of Australian Youth data, to measure the association between individual PISA scores and early school dropouts. We use multilevel modelling to distinguish between student and school…
Descriptors: Economically Disadvantaged, Foreign Countries, Secondary School Students, Academic Achievement
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Wu, Jiun Yu; Peng, Ya-Chun – Interactive Learning Environments, 2017
This study tested the effects of the modality of reading formats (electronic vs. print), online reading habits (engagement in different online reading activities), use of cognitive strategies, metacognitive knowledge, and navigation skills on printed and electronic reading literacy across regions. Participants were 31,784 fifteen-year-old students…
Descriptors: Reading Habits, Literacy, Printed Materials, Information Seeking
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Long, Haiying; Pang, Weiguo – Educational Research and Evaluation, 2016
This study examines direct and indirect effects of family socioeconomic status (SES) and parental expectations on adolescents' mathematics and problem-solving achievement in mainland China. SES here is composed of family wealth, home educational resources, and parental education. Over 5,000 ninth-grade students in 5 geographical districts of China…
Descriptors: Socioeconomic Status, Parent Aspiration, Grade 9, Parent Background
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Kasapoglu, Koray – Educational Sciences: Theory and Practice, 2014
This study aims to investigate which factors are associated with Turkey's 15-year-olds' scoring above the OECD average (493) on the PISA'09 reading assessment. Collected from a total of 4,996 15-year-old students from Turkey, data were analyzed by logistic regression analysis in order to model the data of students who were split into two: (1)…
Descriptors: Secondary School Students, Achievement Tests, Foreign Countries, Reading Tests
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Arya, Diana J.; McClung, Nicola A.; Katznelson, Noah; Scott, Lyn – International Journal of Multilingualism, 2016
Social psychologists have suggested that language-based ideologies related to "stereotype threat" (i.e. variations in performance-based on ability perceptions of language groups) may affect students' academic achievement regardless of school language support. However, it is unclear whether efforts to support students' first language…
Descriptors: Social Psychology, Language Attitudes, Stereotypes, Achievement Tests
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