The purpose of this study was to investigate the effects of three deadline conditions (i.e., frequent-instructor-set-deadline condition, flexible-instructor-set-deadline condition, and self-imposed-deadline condition) on students of different academic procrastination levels (high, medium, and low) in terms of their perceived learning, academic performance, and course satisfaction in an online course. A 3 x 3 factorial quasi-experimental design was adopted for this study. One hundred and seventy three students from three classes of different majors voluntarily participated in the study with 50 students majoring in Agriculture, 61 in International Trading, and 62 in Food Manufacturing. The three classes were randomly assigned to three deadline conditions. Data were collected through an online survey and a final exam. This study found that there were significant differences in perceived learning and course satisfaction among high, medium, and low procrastinators, but there was no significant difference in academic performance among students at different procrastination levels. Low and medium procrastinators had significantly higher perceived learning and were significantly more satisfied with the course than high procrastinators. Among the three deadline condition groups, there were no significant differences in perceived learning and course satisfaction, however, the difference in academic performance was significant. The flexible deadline group achieved the best academic performance followed by the frequent and the self-imposed deadline groups. There was no interaction effect between procrastination and deadline conditions on any of the dependent variables. Limitations of the present study, recommendations for future research, and implications for practice are discussed.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-7640 |
Date | 01 January 2011 |
Creators | Wang, Pin |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses and Dissertations |
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