2021
DOI: 10.1016/j.stueduc.2021.101025
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Co-enrollment density predicts engineering students’ persistence and graduation: College networks and logistic regression analysis

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Cited by 5 publications
(2 citation statements)
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References 36 publications
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“…Ahmed et al [37] showed that peer mentoring and coaching are activities with the potential to avoid dropping out by first-generation biomedical engineering students. Huerta-Manzanilla et al [38] proposed a metric to quantify the retention risk for students of engineering programs. Using the proposed metric, the authors predicted the dropout risk through a logistic regression model.…”
Section: Related Workmentioning
confidence: 99%
“…Ahmed et al [37] showed that peer mentoring and coaching are activities with the potential to avoid dropping out by first-generation biomedical engineering students. Huerta-Manzanilla et al [38] proposed a metric to quantify the retention risk for students of engineering programs. Using the proposed metric, the authors predicted the dropout risk through a logistic regression model.…”
Section: Related Workmentioning
confidence: 99%
“…Persistence and retention are essential for both students and institutions, while dropout and attrition reflect attitudes towards college leavers. Budget allocations play a significant role in students' opportunities for higher education [4]. Despite the prevalent issue of students failing to graduate on time, there is a substantial demand for lecturers and facilities to accommodate the student population [5].…”
Section: Introductionmentioning
confidence: 99%