The Collaborative Power of Teachers to Strengthen Student’s Global Leadership Skills
Bibliographic record
Abstract
This research was a Participatory Action Research (PAR) methodology to implement the project “The Collaborative Power of Teachers to Strengthen Student's Global Leadership Skills in Na-ngiw Wittayasan School”, which is part of the Doctoral Program in Educational Administration's research program on 21st-century education, Mahamakut Buddhist University, Isan Campus with the concept of "Cooperative Action for Better Change". From the Planning, Acting, Observing, and Reflecting (PAOR) 2 cycles. Cycle one for each semester in the academic year 2022, with 25 teachers as research participants and 640 students in the development target group and the objectives were: 1) To change the level of practice of the research participants and The Global Leadership Skills of students to improve. From the comparison of 3 phases: before and after the practice in the 1st cycle and after the 2nd cycle practice. 2) To create learning from practice and 3) to gain knowledge from practice. The results of the research revealed that 1) there was a change for improvement, respectively, for the teachers who were research participants, the average scores from the performance assessment results were higher, respectively, from 2.92 to 3.06 and 4.00. As for the students who are the target group for development, the Global Leadership Skills assessment was also at a higher level, respectively, from 2.47 to 3.17 and 3.59. 2) The research team, the research participants, and Na-ngiw Wittayasan School gained much proficiency. 3) Generate knowledge from practice that demonstrates the cause-and-effect relationship of the applied driving force that results in a change. Including, resistance to change and how to overcome resistance to change which in this research is called “Na-ngiw Wittayasan School Model: The Collaborative Power of Teachers to Strengthen Student’s Global Leadership Skills”
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".