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Alexandra Green – ProQuest LLC, 2024
This research delves into the attitudes, perceptions, and motivations of student-athletes enrolled in Intermediate Algebra courses. It focuses on the distinct challenges they encounter in juggling academic and athletic responsibilities at a southeastern university in the United States. Employing a mixed-methods approach, the study gathered…
Descriptors: Algebra, Mathematics Instruction, Mathematics Curriculum, Student Attitudes
Nathan Andrew Hawk – ProQuest LLC, 2021
The importance of a high school diploma continues to increase. Still, certain student at-risk factors have been identified across the research literature that negatively impact likelihood to finish school and may increase prevalence of school dropout. That is, for students identified as at-risk, more maladaptive profiles of risk factors often lead…
Descriptors: Student Attitudes, Beliefs, Mathematics Achievement, Nontraditional Students
Fonger, Nicole L.; Stephens, Ana; Blanton, Maria; Isler, Isil; Knuth, Eric; Gardiner, Angela Murphy – Cognition and Instruction, 2018
Learning progressions have been demarcated by some for science education, or only concerned with levels of sophistication in student thinking as determined by logical analyses of the discipline. We take the stance that learning progressions can be leveraged in mathematics education as a form of curriculum research that advances a linked…
Descriptors: Academic Achievement, Mathematics Education, Algebra, Research and Development
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