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Carolyn Pietrucha Masserang – ProQuest LLC, 2021
Low achievement in mathematics begins long before students arrive at college. National data shows that between 60% and 75% of high school seniors in the U.S. are underprepared for college-level mathematics and may end up enrolling in developmental mathematics. Developmental mathematics refers to mathematics courses taken in college that are…
Descriptors: Self Concept, Psychological Patterns, Student Attitudes, Student Motivation
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Zientek, Linda Reichwein; Fong, Carlton J.; Phelps, Julie M. – Journal of Further and Higher Education, 2019
The need to improve student success in community colleges has resulted in a growing interest in developmental mathematics. Yet there remains a need to understand the motivations and beliefs of developmental mathematics students in order to cultivate their success. Self-efficacy has been identified to be a predictor of student success. Little is…
Descriptors: Self Efficacy, Community Colleges, Two Year College Students, Remedial Mathematics
Mekonnen, Adugna; Reznichenko, Nataliya – Online Submission, 2008
This qualitative case study considers factors such as difficulty of understanding mathematics and poor mathematics practicing strategy under academic factors and lack of family support under social factors as those that contribute to the failure. Many students entering community college have deficiencies in mathematics background and are required…
Descriptors: Community Colleges, Developmental Studies Programs, Remedial Mathematics, Academic Failure
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