Conference proceeding
Modeling academic performance and procrastination: A structural equation approach
IIE Annual Conference. Proceedings, pp.537-542
01/01/2017
Abstract
Predicting academic performance is of key interest to higher education. Researchers have extensively studied performance in order to identify significant factors affecting it. One factor known to affect academic performance is the individual differences in behavioral patterns of procrastination, mostly measured from self-reported questionnaires. In this study, we measured students' degree of procrastination with their academic performance on an online course website. To model academic performance, a structural equation approach was considered. The result showed that the time students designate to studying prior to a deadline, called early activity, negatively affected the degree of procrastination, with the degree of procrastination negatively mediating academic performance. That is, the degree of procrastination has a mediating effect on the relationship between the early activity and academic performance. The model to predict performance in consideration of individual differences in procrastination may be useful in class scheduling and course design.
Details
- Title: Subtitle
- Modeling academic performance and procrastination: A structural equation approach
- Creators
- Ji-Eun KimDavid A Nembhard
- Resource Type
- Conference proceeding
- Publication Details
- IIE Annual Conference. Proceedings, pp.537-542
- Publisher
- Institute of Industrial and Systems Engineers (IISE)
- Language
- English
- Date published
- 01/01/2017
- Academic Unit
- Business Analytics; Industrial and Systems Engineering
- Record Identifier
- 9984187043302771
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