Transformational and Instructional Leadership in Cross-Thematic Teaching
Bibliographic record
Abstract
Over the last decades, rigorous research has been carried out concerning the most appropriate leadership style of school principals and the two basic conceptual models of transformational and instructional leadership. However, the practices and behaviours of principals as they affect the successful implementation of cross-thematic integration have not been sufficiently explored. This article examines the relationship between the factors’ “transformational leadership” and “instructional leadership” for enhancing cross-thematic teaching. Quantitative empirical research was conducted on a sample of 251 principals of Greek primary schools. The results reveal a positive and statistically significant relationship between the two main factors of this study. RésuméAu cours des dernières décennies, des recherches rigoureuses ont été menées sur le mode de direction qui serait le plus approprié pour les directeurs d’école ainsi que sur les deux modèles conceptuels de base que sont le leadership transformationnel et le leadership pédagogique. Cependant, l’exploration n’a pas été suffisante en ce qui a trait aux pratiques et comportements des directeurs ayant un effet sur la mise en place réussie de l’intégration multithématique. Cet article examine le rapport entre les facteurs « leadership transformationnel » et « leadership pédagogique » qui permettrait d’améliorer l’enseignement multithématique. Pour ce faire, une recherche empirique quantitative a été menée sur un échantillon de 251 directeurs d’écoles primaires en Grèce. Les résultats révèlent un rapport positif et statistiquement significatif entre les deux facteurs principaux de cette étude. Keywords / Mots clés : school leadership, transformational leadership, physical education, cross-thematic teaching, structural equation modelling (SEM), Greece / leadership à l’école, leadership transformationnel, éducation physique, enseignementmultithématique, modélisation d’équations structurelles, Grèce
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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 | 0.005 | 0.009 |
| 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 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".