The Impact of Peer Attachment on Academic Motivation: A Quantitative Analysis
Bibliographic record
Abstract
This study aimed to explore the predictive relationship between peer attachment and academic motivation among adolescents, understanding how emotional bonds with peers influence educational engagement and performance. Utilizing a cross-sectional design, data were collected from 300 high school students through standardized questionnaires measuring peer attachment and academic motivation. Linear regression analysis was conducted using SPSS-27 to examine the predictive capacity of peer attachment on academic motivation. Results indicated that peer attachment significantly predicts academic motivation, accounting for 23% of the variance in motivation levels among participants. A positive correlation was found between the quality of peer relationships and the degree of academic motivation, suggesting that stronger peer attachments are associated with higher motivation. The study underscores the importance of peer relationships in shaping academic motivation, suggesting that interventions aimed at enhancing peer connections could positively impact students' educational outcomes. These findings contribute to the broader discourse on the role of social relationships in educational settings, highlighting the need for supportive peer networks to foster academic success.
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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 | 0.000 | 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".