Mobilize Cooperation to Develop to Be the Classroom of the 21st Century
Bibliographic record
Abstract
The aim of this study was to implement the project "Mobilize Cooperation to Develop to Be the Classroom of the 21st Century in Sarakulnawitaya School ", which is one of the research projects that is related to education in the 21st Century, using the Participatory Action Research (PAR) methodology consisting of Planning, Acting, Observing, and Reflecting (PAOR) for two cycles. Each Cycle lasted one semester during the Academic Year of 2022. The expected outcome was to promote changes, learning, and the knowledge gained from practice. The research participants consisted of seven teachers and administrators, two community leaders, three parents of students, and three school supporters. A total of 50 students received benefit from the development. The results from the comparative practice of three periods (before the first cycle, after the first cycle, and after the second cycle) showed the following: (1) there had been improvements in the implementation of the work and in the quality of classrooms aligned with the ideas of the 21st Century; 2) the research team, the research participants, and the school gained various learning experiences, especially in: (a) building networks with communities and related organizations, (b) creating sustainable relationships, and (c) achieving successful work outcomes; and 3) knowledge gained from practice demonstrated the causal relationship between the driving force used to promote change, the resistance to change, the methods used to overcome the resistance to change, and the resulting outcomes, which is the prototype model called "Mobilize Cooperation to Develop to Be the Classroom of the 21st Century in Sarakulnawitaya School."
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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 | 0.016 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".