Creative Economy Learning Management to Promote Sustainable Citizenship for Secondary School Students in the Upper Northern Special Economic Development Zones, Thailand
Bibliographic record
Abstract
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".