The Team-Based Internal Supervision System Development for the Primary Schools under the Office of the Basic Education Commission
Notice bibliographique
Résumé
Internal supervision in the school is currently experiencing various problems. Supervision preparation problems are related to: lacking of supervision plan, lacking of holistic and systematic planning, and lacking of analysis in current conditions or requirements. While supervision operational problems are included: lacking of supervision cooperation, lacking of knowledgeable and skillful supervisors, and lacking of feedback to supervisees. Problems in evaluation are included: lacking of ongoing supervision and monitoring in a systematically and continually manner. Whereas, supervision is t continuation of a system based on the participation of all parties involved. This is a procedure in management of academic for controlling quality in education.The research aimed 1) to study the components of the team-based internal supervision system for the primary schools under the Office of the Basic Education Commission, 2) to examine the current states and desirable characteristics of the team-based internal supervision system, 3) to develop the team-based internal supervision system, and 4) to evaluate the use of the team-based internal supervision system for the primary schools under this study. The research and development process was divided into four stages: 1) System study and analysis: it was concerned with studying and analyzing the components evaluated by the experts; current states and desirable characteristics were studied from 380 primary schools. 2) System design and development: in this stage data obtained in the first stage were used to design and develop the team-based internal supervision system; three experts evaluated the system. 3) System application: the system was experimentally used in two primary schools which were different in size; the tool used was a handbook on a system. 4) System evaluation: it was a summarization of the results of the system use. Statistics used in data analysis were percentage, mean, standard deviation, and PNI Modified.The research found that the team-based internal supervision system for the primary schools under the Office of the Basic Education Commission was composed of 4 main and 17 sub-components. Input consisted of 6 sub-components, process consisted of 6 sub-components, output and outcome had 3 sub-components, feedback consisted of 2 sub-components. The current conditions of supervision in elementary schools under the Office of Basic Education Commission, had to perform internal supervision at a moderate level. The desirable conditions of the team-based supervision were at most desirable level. There were six sub-systems have been developed. Following the use of the system, it was found that the supervision team gained an increased knowledge and ability in the internal supervision. All of the teachers of the two primary schools in the study acquired a better knowledge on the system. They also were better equipped with an ability to organize the instructional process more effectively than before. They had a better teaching behavior as well.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».