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González, Antonio; Fernández, María-Victoria Carrera; Paoloni, Paola-Verónica – Journal of Research in Science Teaching, 2017
Recent research on achievement in science asserts that motivation, emotion, and metacognition are important driving forces for learning. This study sought to examine the relationships between two physics class emotions (hope and anxiety), their motivational predictors (instrumentality and self-efficacy), and their effects on metacognitive problem…
Descriptors: Psychological Patterns, Anxiety, Physics, Learning Motivation
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Krskova, Hana; Baumann, Chris – International Journal of Educational Management, 2017
Purpose: The purpose of this paper is to combine seemingly unrelated factors to explain global competitiveness. The study argues that school discipline and education investment affect competitiveness with the association being mediated by educational performance. Crucially, diachronic effects of discipline on performance are tested to demonstrate…
Descriptors: Foreign Countries, Competition, Academic Achievement, Least Squares Statistics
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Jones, Brett D.; Sahbaz, Sumeyra; Schram, Asta B.; Chittum, Jessica R. – International Journal of Science Education, 2017
We investigated students' perceptions related to psychological constructs in their science classes and the influence of these perceptions on their science identification and science career goals. Participants included 575 middle school students from two countries (334 students in the U.S. and 241 students in Iceland). Students completed a…
Descriptors: Career Choice, Foreign Countries, Science Instruction, Student Attitudes
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González, Antonio; Paoloni, Paola-Verónica – Chemistry Education Research and Practice, 2015
Research in chemistry education has highlighted a number of variables that predict learning and performance, such as teacher-student interactions, academic motivation and metacognition. Most of this chemistry research has examined these variables by identifying dyadic relationships through bivariate correlations. The main purpose of this study was…
Descriptors: Science Instruction, Chemistry, Metacognition, Undergraduate Students
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Urick, Angela; Wilson, Alison S. P.; Ford, Timothy G.; Frick, William C.; Wronowski, Meredith L. – Educational Administration Quarterly, 2018
Purpose: To advance a framework of indicators that promotes implementation of math standards under the Every Student Succeeds Act (ESSA), we tested a conceptual model of the resources and processes within schools that influence the opportunity to learn mathematics (OTL) in the classroom using a recent administration of the 2011 Trends in…
Descriptors: Mathematics Education, Progress Monitoring, Educational Indicators, Federal Legislation
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Yew, Elaine H. J.; Chng, Esther; Schmidt, Henk G. – Advances in Health Sciences Education, 2011
Problem-based learning (PBL) is generally organized in three phases, involving collaborative and self-directed learning processes. The hypothesis tested here is whether learning in the different phases of PBL is cumulative, with learning in each phase depending on that of the previous phase. The scientific concepts recalled by 218 students at the…
Descriptors: Structural Equation Models, Problem Based Learning, Scientific Concepts, Learning Processes
Sirinides, Philip; Supovitz, Jonathan; Tognatta, Namrata; May, Henry – Consortium for Policy Research in Education, 2013
Beginning in 2005, the GE Foundation initiated a commitment of expertise and financial resources to a set of urban school districts to improve public education and enhance student achievement in mathematics and science. This report analyzes the impacts of the GE Foundation commitment to the partner districts by examining trends in student…
Descriptors: Urban Schools, Public Education, Educational Change, Student Improvement
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Yavuz, Mustafa – Educational Sciences: Theory and Practice, 2009
Discovering what determines students' success in the Secondary Education Institutional Exam is very important to parents and it is also critical for students, teachers, directors, and researchers. Research was carried out by studying the related literature and structural equation modeling techniques. A structural model was created that consisted…
Descriptors: Secondary Education, Family Income, Structural Equation Models, Foreign Countries
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Byrnes, James P.; Miller, David C. – Contemporary Educational Psychology, 2007
In the present study, the authors propose a new framework that integrates literature on achievement, supports the testing of novel hypotheses, and stresses the importance of examining a large number of factors in the same study. This framework assumes that high achievement is a function of three categories of factors: (a) opportunity factors…
Descriptors: High Achievement, Structural Equation Models, Science Achievement, Predictor Variables