Does the Association of Social Media Use with Problematic Internet Behaviours Predict Undergraduate Students Academic Procrastination?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Researchers are of the view that students’ attachment to social media may lead to negative consequences such as postponement of their academic work. Yet how social media use is associated with academic procrastination of students is still underexplored. This study ascertained the pathways through which social media use predicted academic procrastination of undergraduate students. The sample size comprised 500 year one students of the Faculty of Education, Nnamdi Azikiwe University, Awka. Path analysis was employed to test the model fit of the hypothetical model and show the direction of relationships between the exogenous and endogenous variables. Results showed that the hypothesized model fits the sample data satisfactorily, and Internet addiction predicted academic procrastination more than any other variable. Social media use had no significant effect on academic procrastination but indirectly significantly predicted academic procrastination through internet addiction.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it