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Eylül Turan; Bert De Smedt – Journal of Cognition and Development, 2024
A growing body of research suggests that children's understanding of mathematical language is critical for their mathematical abilities. Most of this work has been restricted to single language learners (i.e., SLLs), and used dual language learners (i.e., DLLs) as an exclusion criterion, raising questions about the generalizability of these…
Descriptors: Mathematics Instruction, Language Usage, Mathematics Achievement, Foreign Countries
Malanchini, Margherita; Tosto, Maria G.; Garfield, Victoria; Dirik, Aysegul; Czerwik, Adrian; Arden, Rosalind; Malykh, Sergey; Kovas, Yulia – Child Development, 2016
The study examined the etiology of individual differences in early drawing and of its longitudinal association with school mathematics. Participants (N = 14,760), members of the Twins Early Development Study, were assessed on their ability to draw a human figure, including number of features, symmetry, and proportionality. Human figure drawing was…
Descriptors: Preschool Children, Preschool Education, Freehand Drawing, Mathematics Skills
Waisman, Ilana; Leikin, Mark; Leikin, Roza – ZDM: The International Journal on Mathematics Education, 2016
Mathematical processing associated with solving short geometry problems requiring logical inference was examined among students who differ in their levels of general giftedness (G) and excellence in mathematics (EM) using ERP research methodology. Sixty-seven male adolescents formed four major research groups designed according to various…
Descriptors: Mathematics Instruction, Cognitive Processes, Geometry, Mathematical Logic
Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
Hodgen, Jeremy; Foster, Colin; Marks, Rachel; Brown, Margaret – Education Endowment Foundation, 2018
This document presents a review of evidence commissioned by the Education Endowment Foundation to inform the guidance document "Improving Mathematics in Key Stages Two and Three" (Education Endowment Foundation, 2017). The review draws on a substantial parallel study by the same research team, funded by the Nuffield Foundation, which…
Descriptors: Mathematics Instruction, Foreign Countries, Mathematics Skills, Feedback (Response)
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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