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Pacheco, Beatriz – ProQuest LLC, 2017
Literacy rates among male adolescents continue to fall below those of female adolescents, and this trend shows no indication of improving (Cheung & Slavin, 2014; Gurian & Stevens, 2007; Weins, 2005; Clark, 2006; Cantrell & Carter, 2009). This study aims to examine this trend by measuring the effects of extended literacy learning…
Descriptors: Literacy, Adolescents, Gender Differences, Literacy Education
Guidry, Krisandra – Journal of Instructional Pedagogies, 2013
This study seeks to examine whether the predictors of success for students in an online quantitative course are different than those for an online qualitative course. Data were collected from students taking online courses offered by an AACSB accredited College of Business at a medium sized state university (total student population 7,000) in…
Descriptors: Predictor Variables, Academic Achievement, Success, Online Courses
Li, Hongli – ProQuest LLC, 2011
Using a sequential mixed-methods design, this study examined the differences between two native language groups--those with an East Asian language background and those with a Romance language background--in regard to reading subskills as represented in the Michigan English Language Assessment Battery (MELAB) reading test, so as to provide…
Descriptors: Language Minorities, Language Usage, Native Language, Asians
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

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