Development of a Learning School in Wat Srichan School, Khon Kaen Province: A Participatory Action Research
Bibliographic record
Abstract
This research was conducted in order to develop a learning school system at Wat Srichan School. This monk school has experienced problems related to quality due to the students’ low proficiency as evidenced in the unsatisfying O-net Test score. This research was framed around the participatory discipline in which both critical social theory and theory of post-modernism were integrated in order to assure the attainment of information from collobaration between the researcher and the research participants. Thirty research participants were engaged in different processes of the research, including planning, acting, observing, and reflecting upon the results. These research processes were deployed in 2 semesters between the academic year 2015-2016. The development was aimed at creating positive changes in the student’s learning. The research created three developmental projects: 1) Creating an environment that promoted learning, 2) Developing teachers to foster teaching skills that promote critical thinking and creativity among the learners, and 3) Developing critical thinking skills and creativity for the learners. The projects were found to be effective for the promotion of learning at the school because the overall scores of all of the projects’ indicators and the score for each individual project were both averaged above 3.50. The project helped to create awareness among the researchers and the participants regarding the importance of collaborative and democratic measures as crucial means for success. Particularly in this research, it was observed that in order for the learning environment to be created the three projects mentioned above should be implemented.
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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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".