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Lubin, Amélie; Vidal, Julie; Lanoë, Céline; Houdé, Olivier; Borst, Grégoire – Journal of Educational Psychology, 2013
Solving simple arithmetic word problems is a major ability that children must acquire throughout the primary-grade mathematics curriculum. However, this skill is often challenging for them. For instance, "unknown referent problems" are more difficult to solve than "unknown compare problems." In unknown compare problems, the…
Descriptors: Arithmetic, Word Problems (Mathematics), Inhibition, Priming
Cortes, Anibal; Kavafian, Nelly – International Group for the Psychology of Mathematics Education, 2006
Our study concerns the analysis of teacher and student activities. Secondary school 6th grade students were confronted, for the first time, with solving equations. We used our cognitive models of students and experts (in algebraic calculations) for analyzing the teaching process and the cognitive functioning of students. Our model led us to…
Descriptors: Equations (Mathematics), Grade 6, Algebra, Problem Solving
Vincent-Morin, Madeleine; Lafont, Lucile – Journal of Teaching in Physical Education, 2005
The goal of this study was to identify the relationships between the learning choices made by pupils and their personal characteristics, including cognitive style (field dependence--independence), a motivational variable (feeling of self-efficacy), and a cognitive variable (task representation). The participants were 64 twelve-year-old sixth…
Descriptors: Foreign Countries, Grade 6, Self Efficacy, Cognitive Style
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