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Ahmed, Wondimu – International Journal of Psychology and Educational Studies, 2017
This study investigated the relationship between motivation and self-regulated learning (SRL) in a nationally representative sample of 5245, 15-year-old students in the USA. A multivariate multilevel analysis was conducted to examine the role of three motivational variables (self-efficacy, intrinsic value & instrumental value) in predicting…
Descriptors: Learning Motivation, Independent Study, Secondary School Students, Secondary School Mathematics
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Li, Mang; Zheng, Chunping; Liang, Jyh-Chong; Zhang, Yun; Tsai, Chin-Chung – International Journal of Science and Mathematics Education, 2018
This study explored the structural relationships among secondary school students' conceptions, self-regulation, and strategies of learning science in mainland China. Three questionnaires, namely conceptions of learning science (COLS), self-regulation of learning science (SROLS), and strategies of learning science (SLS) were developed for…
Descriptors: Foreign Countries, Secondary School Science, Science Instruction, Student Attitudes
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Callan, Gregory L.; Marchant, Gregory J.; Finch, W. Holmes; German, Rachel L. – Educational Sciences: Theory and Practice, 2016
Learning strategies, such as memorization and elaboration strategies, have received both support and repudiation. The 2009 international PISA reading, science, and mathematics achievement test and survey of 15 year-olds in 65 countries was used. The findings indicated that self-reported use of learning strategies, which involve compensatory…
Descriptors: Metacognition, Learning Strategies, Academic Achievement, Comparative Education
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Cheema, Jehanzeb; Kitsantas, Anastasia – Educational Psychology, 2016
This study investigated the predictiveness of preferred learning styles (competitive and cooperative) and classroom climate (teacher support and disciplinary climate) on learning strategy use in mathematics. The student survey part of the Programme for International Student Assessment 2003 comprising of 4633 US observations was used in a weighted…
Descriptors: High School Students, Learning Strategies, Prediction, Preferences
Kaur, Berinderjeet; Areepattamannil, Shaljan – Mathematics Education Research Group of Australasia, 2012
This study, drawing on data from the Programme for International Student Assessment (PISA) 2009, explored the influences of metacognitive and self-regulated learning strategies for reading on mathematical literacy of adolescents in Australia and Singapore. Ordinary least squares (OLS) regression analyses revealed the positive influences of…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
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Liu, Ou Lydia – International Journal of Testing, 2009
Learning strategies and affective factors could have a profound impact on student standardized mathematics performance. This study investigated gender differences in affective factors, learning strategies, and preferred learning situations, and how these variables affect math achievement of 15 year olds in the United States and Hong Kong on the…
Descriptors: Asians, Self Efficacy, Mathematics Achievement, Learning Strategies
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Bebko, James M.; Bell, Michelle A.; Metcalfe-Haggert, Alisa; McKinnon, Elaine – Journal of Experimental Child Psychology, 1998
Investigated the role of language proficiency and automatization of language skills in the use of spontaneous rehearsal strategies by 7- to 13-year olds who are deaf. Regression analyses demonstrated that age was a nonsignificant predictor of rehearsal use and that language proficiency and the automatization of language skills were highly…
Descriptors: Age Differences, Children, Deafness, Language Proficiency
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Labrell, Florence; Ubersfeld, Guillaume – European Journal of Psychology of Education, 2004
In order to study the influence on memorization of external inputs as well as children's own strategies, we examined both parental discourses in terms of distancing (Sigel, 1970) and spontaneous rehearsal by children during a memory task. Our aim was to assess the influence of each factor for children between 3 and 5 years of age. In our study of…
Descriptors: Recall (Psychology), Young Children, Memorization, Parent Influence