Project Evaluation for Expand the Potential of the Teacher Network Award from the Princess Maha Chakri Award (PMCA) Foundation Towards the Development of Underprivileged Children in Thailand
Bibliographic record
Abstract
This study aimed to evaluate the impact of a project aiming to enhance the empowerment of disadvantaged children and youth in Thailand, with a view to promoting educational equality in the country. The Kirkpatrick evaluation framework, comprising four dimensions - response, learning, behavior, and results - was applied. Data was collected from 93 teachers out of a total of 121 (76.85%) who participated in the project, as well as 28 teachers who were interviewed. The research tools included a 5-point Likert scale questionnaire comprising 26 items, and a 6-item interview guide. Statistical analysis using mean, standard deviation, and t-test was conducted to analyze the data. The results indicated that the project had a significant impact on teacher response and learning, as well as a positive impact on behavior and results. Implications for future research and practical applications are discussed.The research findings indicate that the overall assessment of the project is highly satisfactory (= 4.17). Upon consideration of the individual domains, it was found that all domains were highly satisfactory, with teachers involved in the project expressing the highest level of satisfaction with the outcomes of the project's implementation (= 4.27). In particular, the domain of behavior in the application of knowledge in practice was highly effective (= 4.22). The level of response that individuals have to the environmental sustainability project and the feelings they have towards the project (= 4.13) and the learning aspect, including understanding the principles and theories, and the skills necessary to achieve the goals of the project (= 4.06). A significant recommendation is the development of an information technology system to collect and disseminate the innovative work of teachers in order to expand its impact. It is also important to link the dissemination system of the project with capable agencies in the field.
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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 | 0.035 | 0.021 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".