Understanding Procrastination in First-Year Undergraduates: An Application of Attribution Theory
Bibliographic record
Abstract
Despite findings showing first-year undergraduates persistently engage in academic procrastination, research exploring students’ perceived reasons for their procrastination and procrastination-related emotions is lacking. The present exploratory study utilized Weiner’s (2010) attribution theory to examine the relationships between procrastination as well as students’ causal explanations and emotions specific to procrastination. Findings of 429 first-year Canadian undergraduates showed students to attribute procrastination mainly to internal and stable factors, and less so to personally controllable factors. Students who attributed procrastination to reasons within themselves reported higher levels of negative emotions, with strong direct effects of procrastination on negative emotions also observed. These findings demonstrate the importance of considering students’ causal attributions as potential contributors to their emotional experiences surrounding procrastination and encourage future longitudinal research on relations between academic procrastination, attributions, and emotional outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".