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Yanagiura, Takeshi – Community College Research Center, Teachers College, Columbia University, 2020
Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…
Descriptors: Community Colleges, Man Machine Systems, Artificial Intelligence, Prediction
Hall, Mark Monroe – ProQuest LLC, 2017
The purpose of this study was to examine the effects of proactive student-success coaching, informed by predictive analytics, on student academic performance and persistence. Specifically, semester GPA and semester-to-semester student persistence were the investigated outcomes. Uniquely, the community college focused the intervention on only…
Descriptors: Academic Achievement, Community Colleges, Two Year College Students, Coaching (Performance)
Campbell, Fiona B. – ProQuest LLC, 2017
The purpose of this study was to explore the relationship between assessment of critical thinking as admission criteria as a predictor of success in the completion of an associate degree respiratory care program. The research site was a community college located in the southern United States. The sample included 176 students who completed Health…
Descriptors: Critical Thinking, Success, Associate Degrees, Health Education
Rayno, Marisue – ProQuest LLC, 2010
Nursing student attrition in community colleges negatively affects students, faculty, colleges, and the nursing profession. The purpose of this quantitative correlational retrospective research study was to examine the possible relationships between each of the independent variables of academic preparedness (as measured by NET mathematics and…
Descriptors: Nursing Students, Associate Degrees, Student Attrition, Science Curriculum