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Austin-Hickey, Rachel – ProQuest LLC, 2013
Community colleges play an important role in the accessibility of higher education to the American population and developmental coursework is of vital importance to college degree attainment. The large demand for student remediation in math requires optimal commitment of developmental math faculty members. Increased organizational commitment has…
Descriptors: Community Colleges, Developmental Programs, Remedial Mathematics, College Faculty
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Guy, G. Michael; Cornick, Jonathan; Beckford, Ian – International Journal for the Scholarship of Teaching and Learning, 2015
Students at a large urban community college enrolled in fourteen sections of a developmental algebra class. While cognitive variables are often used to place students, affective characteristics may also influence their success. To explore the impact of affective variables, students took ACT's Engage survey measuring motivation, academic-related…
Descriptors: Urban Schools, Two Year College Students, Community Colleges, Developmental Studies Programs
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Shields, Darla J. – NADE Digest, 2007
To take math anxiety out of math instruction, teachers need to first know how to easily diagnose it in their students and second, how to analyze causes. Results of a recent study revealed that while students believed that their math anxiety was largely related to a lack of mathematical understanding, they often blamed their teachers for causing…
Descriptors: Mathematics Anxiety, Mathematics Instruction, Teacher Attitudes, Teaching Styles
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