Principals’ Leadership Needs for Effective Management of Secondary Schools in Meme and Fako Divisions of Cameroon
Bibliographic record
Abstract
The purpose of this study was to assess principals’ leadership needs for the effective management of secondary schools in Meme and Fako Divisions in Cameroon by examining their professional, instructional, and communication skills. The study population consisted of 175 teachers, 31 department heads, 26 unit heads, and 16 principals from 12 schools. The findings revealed that continuous professional training and retraining, instructional supervision, effective communication, and creating a conducive environment for teaching and learning were vital to principals’ effective management of schools. Based on these findings, provisions should be made for the continuous professional training and retraining of principals; principals should frequently carry out instructional supervision and also make use of vertical and horizontal communication to clearly communicate school goals. RésuméL’objectif de cette étude est d’évaluer les besoins en leadership des directeurs d’école de la Meme et du Fako au Cameroun en examinant les habiletés professionnelles, pédagogiques et communicationnelles des directeurs pour assurer une gestion optimale des écoles secondaires dans ces deux départements. La population de cette étude comprend 175 enseignants, 31 chefs de département, 26 chefs d’unité et 16 directeurs dans 12 écoles. Les données ont montré qu’une formation et un recyclage professionnels réguliers, une supervision pédagogique attentionnée, une communication efficace, et la création d’un environnement positif pour l’enseignement et l’apprentissage sont essentiels pour assurer la bonne gestion d’une école par son directeur. D’après les données, des mesures devraient être prises pour la formation et le recyclage professionnels réguliers des directeurs d’école; d’autre part, ces derniers devraient régulièrement assumer la supervision pédagogique, et ils devraient recourir à la communication verticale et horizontale pour transmettre clairement les objectifs de l’école. Keywords / Mots clés :: principals’ leadership needs, effective school management, professional development, professional training and retraining, instructional leadership, school leadership / besoins en leadership des directeurs d’école, gestion efficace d’une école, développement professionnel, formation et recyclage professionnels, leadership pédagogique, leadership d’une école
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".