Brief Research Report: Sense of Belonging and Academic Help-Seeking as Self-Regulated Learning
Bibliographic record
Abstract
Academic help-seeking is a self-regulatory strategy that can have an important influence on students’ learning and achievement. The primary goal of the present study was to investigate whether college students’ sense of belonging could be used to understand their academic help-seeking. In addition, two aspects of motivation, self-efficacy for self-regulated learning and utility value, were examined as predictors of adaptive and expedient help-seeking strategies within an integrative model. College students (N = 307) completed two online self-report surveys that assessed sense of belonging, motivation, and help-seeking. Results of structural equation modeling showed that sense of belonging significantly predicted reported use of adaptive help-seeking strategies, even when accounting for students’ motivation. Self-efficacy for self-regulated learning also positively predicted adaptive help-seeking strategies, whereas utility value negatively predicted expedient help-seeking strategies. Findings support the conclusion that college students’ perceptions of their social contexts inform if and how they seek help with their learning.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".