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Ichinose, Cherie; Clinkenbeard, Jennifer – Learning Assistance Review, 2016
This study compared student engagement and achievement levels between students enrolled in a traditional college algebra lecture course and students enrolled in a "flipped" course. Results showed that students in the flipped class had consistently higher levels of achievement throughout the course than did students in the traditional…
Descriptors: College Students, College Mathematics, Algebra, Blended Learning
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Kirvan, Rebecca; Rakes, Christopher R.; Zamora, Regie – Computers in the Schools, 2015
The present study investigated whether flipping an algebra classroom led to a stronger focus on conceptual understanding and improved learning of systems of linear equations for 54 seventh- and eighth-grade students using teacher journal data and district-mandated unit exam items. Multivariate analysis of covariance was used to compare scores on…
Descriptors: Algebra, Mathematics Instruction, Homework, Educational Technology
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Thurston, Linda P.; Navarrete, Lori A. – Rural Special Education Quarterly, 2011
A study of low-income rural mothers in four states investigated the differences in demographics, school experience, social support, and school involvement for mothers with children with and without special needs. Forty percent of the mothers reported having at least one child with special needs. Twice as many mothers who did not complete the…
Descriptors: Mothers, Poverty, Low Income Groups, Demography
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