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Fleming, Jacqueline – Journal of Negro Education, 2019
This study of minority students entering their first year of an urban historically Black college (HBCU) investigated the utility of commercial subliminal audio aids to improve academic performance, along with a method of automatic delivery of said messages. Recruited from graduates of an eight-week summer program, 324 developmental students were…
Descriptors: College Freshmen, African American Students, At Risk Students, Developmental Studies Programs
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Brothen, Tomas; Wambach, Cathrine – Research and Teaching in Developmental Education, 2001
Argues that many developmental students succeed in college regardless of their basic academic ability and high school records. Presents data that suggest that, as a predictor of academic success over time, conscientiousness combined with metacognitive study skills is superior to ACT test performance. Suggests that proper developmental learning…
Descriptors: Academic Achievement, Cognitive Processes, Community Colleges, Compensatory Education
Lederman, Marie Jean – 1986
Two main points should be noted concerning strategies recommended for teaching basic writing students. First, teachers can develop only those strategies that are consonant with their own personalities and that will enable students to develop their own writing strategies. Second, whatever strategies are selected should lead students beyond the…
Descriptors: Academic Achievement, Basic Skills, Cognitive Processes, College Freshmen
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