Academic Procrastination Behaviors of Preservice Teachers in Turkish Context
Bibliographic record
Abstract
Current study aims at investigating the academic procrastination behaviors of preservice teachers in terms ofdifferent variables. The research is conducted with 211 undergraduate students studying at the faculty of education ata public university in Turkey. The study is designed in descriptive survey model in which the data is collected withthe instrument of Academic Procrastination Scale. Standard deviation, arithmetic mean, frequency, percentage, t test,one-way analysis of variance (ANOVA) and Scheffe and Tukey test are used as data analysis procedures. The resultsshowed that preservice teachers do not mostly exhibit behaviors of academic procrastination, irresponsibility, qualityof perceived academic task, negative perceptions regarding instructors and academic perfectionism. Additionally,there are some differences between preservice teachers’ behaviors of academic procrastination in terms of gender,departments and class level. The findings are discussed in the light of relevant literature and implications for theoryand practice have been presented along with concluding remarks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".