Program Development for Enhancing Competencies of Vocational College Teachers in Mechatronics and Robotics under the Office of the Vocational Education Commission
Notice bibliographique
Résumé
The purposes of this research were to 1) study the components and indicators of teacher competency in Mechatronics and Robotics, 2) study the current states, desirable states, and the needs for teacher competency development in the Mechatronics and Robotics Department, 3) design and development of teacher competency-enhancing programs in Mechatronics and Robotics, and 4) study the results of implementing the teacher competency-enhancing program in the Mechatronics and Robotics Department. This research was research and development conducted in 4 phases following the research purposes. The results showed that 1) Components and indicators of teacher competency in Mechatronics and Robotics have 5 components and 36 indicators confirmed by experts are appropriate at the highest level. 2) The current state of teacher competency in the Mechatronics and Robotics Department overall is moderate, and desirable condition overall is at the highest level, The competency development methods consist of (1) Self-study (2) Training (3) Workshops (4) Study visits and (5) Practice in the workplace, and the priorities of the needs to develop competencies are (1) Self-development (2) Ethics and professional ethics of teachers (3) Learning measurement and evaluation (4) Curriculum administration, and learning management (5) Building relationships and cooperation with communities for learning management, respectively. 3) Teacher Competency-enhancing Program in the field of Mechatronics and Robotics consists of (1) Principles, (2) Objectives, (3) Models and methods for development, (4) Content and development activities, amounting to 5 modules, and (5) Evaluation. The program evaluation results by qualified experts are appropriateness, utility, and possibility at the highest level. 4) The results of implementing the teacher competency-enhancing program in Mechatronics and Robotics were found as follows: (1) Pre-development knowledge of teachers in Mechatronics and Robotics education showed an average score of 17.30 out of 30 (57.66%), while post-development knowledge increased to an average score of 26.30 out of 30 (87.67%). (2) Overall, teachers’ competencies improved from a moderate level to the highest level after program implementation. (3) The satisfaction evaluation of program participants indicated the highest level of satisfaction in overall and each aspect.
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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 | 0,001 |
| 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 | 0,000 |
| Science ouverte | 0,001 | 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 ».