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Arnold, Ivo J. M. – Education Economics, 2023
This paper adds to the literature on the relationship between procrastination and academic performance. We measure procrastination as the speed with which students do an online math course on the ALEKS learning platform. This pre-admission course is mandatory for students that are weak in math. Using a large dataset of undergraduate students at a…
Descriptors: Foreign Countries, College Students, Graduation Rate, Time Management
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Franz, Iris – Education Economics, 2020
This study measures students' unintentional procrastination, as captured by 'the number of days delayed,' or 'delay.' 'Delay' is the difference between the day that a student indicated that he or she would work on a homework assignment, and the day that he or she actually worked on that assignment as recorded by Blackboard. Regression results…
Descriptors: Time Management, Self Control, Academic Achievement, Homework
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Kalenkoski, Charlene Marie; Pabilonia, Sabrina Wulff – Education Economics, 2017
Although previous research has shown that homework improves students' academic achievement, the majority of these studies use data on students' homework time from retrospective questionnaires, which may be less accurate than time-diary data. We use data from the combined Child Development Supplement (CDS) and the Transition to Adulthood Survey…
Descriptors: High School Students, Homework, Academic Achievement, Questionnaires
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Grave, Barbara S. – Education Economics, 2011
There is a large literature on the influence of institutional characteristics on student academic achievement. In contrast, relatively little research focusses on student time allocation and its effects on student performance. This paper contributes to the literature by investigating the effect of student time allocation on the average grade of…
Descriptors: Undergraduate Students, Grades (Scholastic), Time Management, Academic Achievement
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Tauer, Loren W.; Fried, Harold O.; Fry, William E. – Education Economics, 2007
Technical and allocative efficiencies of 26 academic departments in the College of Agriculture and Life Sciences at Cornell University are computed using Data Envelopment Analysis over 2004/05. Allocations of faculty time between teaching, research, and extension vary by department and are used as unique prices in calculating allocative…
Descriptors: Agricultural Colleges, Biological Sciences, College Faculty, Time Management