2009
DOI: 10.1109/te.2008.921458
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Predicting Computer Science Ph.D. Completion: A Case Study

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Cited by 6 publications
(9 citation statements)
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“…The first reason might be that the dropping out of students in this sample was not related to their academic ability but to other factors during their masters’ programs. As the empirical research shows, these could be reasons related to psychological resources, personality, study motivation, study conditions, study decisions, institutional guidance, and study performance during a graduate program (Cox et al, 2009; Heublein, 2014). The second plausible reason might be that degree completion is determined by conscientiousness, motivation, drive, interest, or adaptability (Kuncel et al, 2014; Schwager et al, 2015) and, therefore, it is a hard‐to‐predict outcome, especially using prior academic indicators which do not directly assess these qualities.…”
Section: Discussionmentioning
confidence: 99%
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“…The first reason might be that the dropping out of students in this sample was not related to their academic ability but to other factors during their masters’ programs. As the empirical research shows, these could be reasons related to psychological resources, personality, study motivation, study conditions, study decisions, institutional guidance, and study performance during a graduate program (Cox et al, 2009; Heublein, 2014). The second plausible reason might be that degree completion is determined by conscientiousness, motivation, drive, interest, or adaptability (Kuncel et al, 2014; Schwager et al, 2015) and, therefore, it is a hard‐to‐predict outcome, especially using prior academic indicators which do not directly assess these qualities.…”
Section: Discussionmentioning
confidence: 99%
“…However, it explains little variance in time to degree and increases the odds of completing a graduate degree to a small extent. This may be a reason why a number of other studies (Cox et al, 2009;Dabney, 2012;Dore, 2017;Moneta-Koehler et al, 2017) failed to detect this relationship using their data. So even though UGPA seems to be weakly related to graduate time to degree and degree attainment, researchers may want to focus on exploring whether other information, available upon admissions, can add or even outperform UGPA in prediction of these two dimensions of graduate study success.…”
Section: Theoretical Contributionsmentioning
confidence: 94%
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“…Academic performance and successful completion of studies depend on many factors [15], [16]; particularly important among these are student motivation and student self-confidence in succeeding [17]. Educational researchers distinguish between intrinsic and extrinsic motivation [18].…”
Section: Learning With Mobile Devices and Motivationmentioning
confidence: 99%