Creative Economy Learning Management to Promote Sustainable Citizenship for Secondary School Students in the Upper Northern Special Economic Development Zones, Thailand
Notice bibliographique
Résumé
The objectives of this research were 1) to study creative economy learning approaches to promote sustainable citizenship for secondary school students in the Upper Northern Special Economic Development Zones, Thailand, and 2) to design guidelines for creative economy learning management to promote sustainable citizenship. for secondary school students in the Upper Northern Special Economic Development Zones, Thailand, and 3) to study the results of using creative economy learning management approaches to promote sustainable citizenship for secondary school students in the Upper Northern Special Economic Development Zones, Thailand. The research was action research. Samples in this research included 1) a group of 15 people who provided information on creative economy learning with the selection based on purposive sampling, 2) a group of 7 people who evaluate learning innovations with selection based on purposive sampling and 3) learning innovation trial group including 299 secondary school students with selection based on simple random sampling, coming up with a total of 321 students. The research tools included 1) a semi-unstructured interview form, 2) a form to evaluate the effectiveness of learning management approaches, and 3) a sustainable citizenship assessment form. The research results revealed that. 1. The study on creative economy learning approaches to promote sustainable citizenship for secondary school students in the Upper Northern Special Economic Development Zones, Thailand revealed that creative economy learning management is an integration of creative economy concepts and a basis for learning for students to focus on skills, knowledge and understanding of the economic system with a production system of products and services that rely on the existing experiences and knowledge base. This can be done by making use of cultural resources, including economy, traditions, ways of life, and ways of living, combined with knowledge. creativity and technology level to lead to the appropriate upgrading of one's own economic system. The creative economy learning management to promote sustainable citizenship for secondary school students in the Upper Northern Special Economic Development Zones, Thailand will require promotion to bring about learning competency in 4 areas, consisting of 1) Competency regarding Community Engaged Learning 2) Economic Literacy Competency 3) Competency regarding Environmental Awareness and Green Citizenship and 4) Competency regarding Creative Economy Innovation Development. 2. Designing creative economy learning guidelines to promote sustainable citizenship for secondary school students in the Upper Northern Special Economic Development Zones, Thailand, it was found that the researcher had designed a learning plan that integrated creative economy learning methods. It is designed as a lesson plan for the creative economy by using the area-based learning cycle teaching strategy (AAAR Teaching Approach) of Mangkhang (2023) together with creative community economics learning activities for 12 class periods, with evaluation results for the overall quality at the most appropriate level. 3. The study on the results of using creative economics learning management approaches to promote sustainable citizenship for secondary school students in the Upper Northern Special Economic Development Zones, Thailand revealed that the level of students' sustainable citizenship in an overall picture was at the highest level.
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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 | 0,002 | 0,001 |
| 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 | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».