Supervision Model Through Coaching and Mentoring for Enhancing Active Learning Instruction Competency of Elementary Teachers Under Office of the Basic Education Commission
Notice bibliographique
Résumé
The study aimed to 1. investigate the components and indicators of active learning instruction competency among elementary school teachers, 2. examine the current state, desired state, and necessary requirements of active learning instruction competency among elementary school teachers, and 3. develop an educational supervision model based on instructional coaching and mentoring principles, aimed at enhancing active learning instruction competency among elementary school teachers under the jurisdiction of the Office of the Basic Education Commission. The study was divided into three phases: Phase 1 examine the components and indicators of active learning instruction competency. The target group comprised 7 qualified individuals selected through purposive sampling, with suitability assessed using an appropriateness assessment questionnaire. Phase 2 the current state, desired state, and necessary requirements of active learning instruction competency among elementary school teachers are investigated. The sample group consisted of 384 elementary school teachers selected through multi-stage random sampling, employing a proportional stratified sampling technique. A questionnaire with a 5-point Likert scale was utilized for data collection. Phase 3 the development of the supervision model involved input from a group of 9 qualified individuals selected through purposive sampling. These individuals were chosen based on their expertise and relevance to the research objectives. Research tools included interviews and assessments. The research findings revealed that: 1. there were 4 components and 24 indicators of active learning instruction competency among elementary school teachers. These components are categorized as follows: 1) Designing of active learning management: comprising 6 indicators, 2) Organization of learning activities focusing on higher-order thinking skills and practical application: consisting of 4 indicators, 3) Utilization of educational media, innovations, educational technology, and learning resources: encompassing 6 indicators, and 4) Measurement and evaluation based on actual conditions: including 8 indicators. Overall, the competency level is rated as the highest. 2. The current state was rated as moderate, while the desired state was rated as the highest. Upon disaggregating the components of the supervision model, it was found that the component with the highest level of necessity was Component 2, which pertains to organizing learning activities emphasizing higher-order thinking skills and practical application. 3. The results of developing the educational supervision model based on instructional coaching and mentoring principles to enhance active learning management competency among elementary school teachers, under the jurisdiction of the Office of the Basic Education Commission, revealed that the supervision model consisted of the following steps: 1) Planning, 2) Observation, 3) Reflection, and 4) Evaluation. These steps were deemed highly appropriate and feasible at the highest level.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».