Assessing Teacher-Researcher Development in Thailand’s Deaf Education: A CIPP Model Approach
Bibliographic record
Abstract
This study aimed to evaluate the effectiveness of the teacher-researcher development project in Thailand’s deaf education using the CIPP model. The evaluation focused on the context, input, process, and product factors to assess the quality and impact of the training on teachers’ knowledge, abilities, and characteristics. The participants (n = 23) for context, input, and process evaluation include administrators, heads of academic departments, and teachers. The participants (n = 9) in product evaluation were teachers who participated in the project. The instruments include the evaluation forms for context, input, and process evaluation, a research knowledge test, a research ability assessment, and a research characteristic assessment. The study revealed that all evaluated factors—context, input, process, and product—were rated highly, indicating that the teacher-researcher development project met the expected quality. Teachers showed significant improvements in their knowledge, research abilities, and professional characteristics after participating in the project. This study provides additional evidence supporting the CIPP model as a reliable framework for evaluating educational projects, particularly in teacher development programs.
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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 | 0.052 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".