A meta‐analysis of the association between teacher support and school engagement
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
Abstract School engagement is a multidimensional concept describing how students behave, feel, and think. Previous meta‐analyses suggest that school engagement may be underpinned by specific aspects of teacher support. However, given that school engagement is also multifaceted, it is important to examine how each aspect of school engagement is related to different aspects of teacher support. Thus, a meta‐analysis was conducted to ascertain the magnitude of the association between different domains of teacher support and various dimensions of school engagement. We also considered the moderating roles of study (e.g., study design) and sample characteristics (e.g., school level). Of the 1249 studies identified from three databases, 141 studies (i.e., 525,129 students) met the inclusion criteria. Results indicated that teacher support was positively associated with school engagement, but the magnitude of this association differed depending on which aspects of teacher support and school engagement were examined. Significant moderating effects were evident for sample language discrepancy (i.e., discrepancy between the language spoken by the student at home and in school), school level, sex, study design, and informants. Current findings emphasize a need to adopt a comprehensive approach when examining teacher support and school engagement. Findings also suggest the importance of fostering an emotionally supportive school context to promote school engagement among students. Implications for educational research and practice are discussed.
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 | 0.003 | 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 | 0.001 | 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) | 0.002 | 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