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Maltese, Adam V.; Tai, Robert H.; Fan, Xitao – High School Journal, 2012
Even with the history of debate over the merits of homework, there are significant gaps in the research record regarding its benefit to students. The focus of this study is on the association between time spent on homework and academic performance in science and math by assessing survey and transcript data from two nationally representative…
Descriptors: Academic Achievement, Homework, Achievement Tests, Correlation
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Mousavi, Shima; Radmehr, Farzad; Alamolhodaei, Hasan – Electronic Journal of Research in Educational Psychology, 2012
Introduction: The main objective of this study is (a) to investigate whether cognitive styles and working memory capacity could predict mathematical performance and which variable is relatively most important in predicting mathematical performance and b) to explore whether cognitive styles and working memory capacity could predict mathematical…
Descriptors: Homework, Cognitive Style, Short Term Memory, Role
Matthews, Michael S.; Farmer, Jennie L. – Journal of Advanced Academics, 2008
Understanding student performance in Algebra I is important because this course serves as the gateway to advanced coursework in mathematics and science through the remainder of high school and into postsecondary education. In the current study, we analyzed secondary data to evaluate the relationship between selected indicators of mathematics and…
Descriptors: Homework, Academically Gifted, Structural Equation Models, Algebra
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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