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Direct linkKristen C. Betts – ProQuest LLC, 2021
This study explores a variety of variables with the intent of identifying specific student groups that may struggle with performance in a large general education course. The ultimate objective of this study is to facilitate the success of acknowledged at-risk students. Drawing in part on the theory of social capital, this study examines…
Descriptors: Predictor Variables, Academic Achievement, Large Group Instruction, General Education
Peer reviewedFirmin, Rob; Schiorring, Eva; Whitmer, John; Willett, Terrence; Collins, Elaine D.; Sujitparapitaya, Sutee – Distance Education, 2014
In Spring 2013 San José State University (SJSU) launched SJSU Plus: three college courses required for most students to graduate, which used massive open online course provider Udacity's platform, attracting over 15,000 students. Retention and success (pass/fail) and online support were tested using an augmented online learning environment (AOLE)…
Descriptors: Distance Education, Online Courses, Large Group Instruction, College Students
Bone, Elisa K.; Reid, Robert J. – Higher Education Research and Development, 2011
Students in their first year of university face a number of transition issues that can make realising their academic potential difficult. In the sciences, first-year courses cover a large amount of material across broad subject areas, which can make them troublesome for students without background knowledge, and students need to adapt to typically…
Descriptors: High Schools, Prior Learning, Chemistry, Course Content
Download full textLynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
