Social and Emotional Variables as Predictors of Students’ Perceived Cognitive Competence and Academic Performance
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
Research extensively highlights the importance of social-emotional skills in learning and development. In this study, we evaluated whether social and emotional variables directly impact students’ perceived cognitive competence and academic performance through a structural equation model. Survey responses ( N = 29,384) were collected from 114 K-12 schools in a large school district in Alberta. Results showed that cognitive competence was directly predicted by social cognition and social competence but indirectly by emotional competence through the mediating effect of social competence. Academic performance was also directly predicted by social cognition. Cognitive competence was positively associated with academic emotions, while academic performance was negatively associated with them. Overall, our findings suggest that learning is a highly social process, and investing in the development of social-emotional skills must be a priority, with a primary focus on creating positive and supportive learning environments. Future research may adjust this model and target more specific social-emotional variables.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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