Development of a Model for Enhancing Action Research (PAOR) Competency of Lead Research Teachers for the Deaf in Thailand through a Mentoring System
Why this work is in the frame
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Bibliographic record
Abstract
This study aimed to develop a mentoring-based model for enhancing the action research (PAOR) competency of lead research teachers for the deaf in Thailand. The study employed a research and development (R&D) approach, consisting of four phases. Phase 1: Situation Analysis involved assessing the current research competency of 66 teachers at Chaiyaphum School for the Deaf through knowledge tests and self-assessment surveys. Phase 2: Model Drafting and Evaluation included a focus group discussion with seven experts in special education, deaf education, and research to develop and refine the model. Phase 3: Model Implementation was conducted with nine lead research teachers, who participated in 13 structured mentoring activities, including training sessions, research proposal development, and data collection. Phase 4: Post-Implementation Evaluation assessed the effectiveness of the model using pretest and post-tests, self-assessment surveys, and expert evaluation. The findings indicated that teachers initially lacked PAOR competency in terms of knowledge, skills, and research characteristics, highlighting the complexity of action research. After implementing the mentoring system, teachers demonstrated improvements in all areas. The model was rated at a high to very high level for usefulness, feasibility, appropriateness, and accuracy.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it