Enhancing Life and Career Skills for Students in Khon Kaen Wittayayon School, Khon Kaen Province
Bibliographic record
Abstract
The objective of this research was to enhance the life and career skills of the students at Khon Kaen Wittayayon School in Khon Kaen Province by utilizing participatory action research methodology that involved the development of three aspects: (1) changes in the expected and unexpected outcomes from the implementation, (2) learning gleaned from the implementation process for the researchers, co-researchers, and school, and (3) the theoretical knowledge grounded in the specific context of Khon Kaen Wittayayon School. The target group for the development of the research was students in Grades 10-12 at Khon Kaen Wittayayon School, with a total of 268 individuals. The research involved 2 cycles and was comprised of 10 steps. The results of the study indicated the following: (1) there were improvements in both expected and unexpected outcomes, both in cases in which the jointly developed development guidelines had been followed and in cases, in which the expected life and career skills had been developed; (2) the researchers, co-researchers, and school learned together about the effectiveness of collaborative work, which had helped everyone to see the inefficiency of the individual work that had been carried out in the past; and (3) the theoretical knowledge gained from the implementation, which explained the relationships between expected changes and the driving forces behind those changes, the barriers to change, and the strategies for overcoming those barriers.
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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 | 0.001 | 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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".