A Development of the Evaluation Model for Faculty Organizational Effectiveness in Public Universities
Bibliographic record
Abstract
The purposes of this research were to: 1) studying current conditions, problems, and needs to develop, and studying appropriate elements and indicators of the evaluation for organization in public universities, 2) developing the evaluation model for faculty organizational effectiveness in public universities, and 3) evaluating the proposed evaluation model for faculty organizational effectiveness in public universities. The research was conducted through a process of research and development procedures consisting of 3 steps including: step 1. model’s investigation and analysis, from administration instructor officer and student total 729 persons from 36 faculty organization, step 2. model’s verification, from 7 experts about evaluation organization or quality assurance, and step 3. model’s implementation and evaluation, from assessor administrator instructor officer and stakeholders total 255 persons. Tools of research consisted of: questionnaires, Interview, and record observations. The statistics used in this study were percentage, mean and standard deviation. The results were as follow: 1) The results of the evaluation organization is currently and needs were found at a high level, the assessment problems summarizes 9 main points, and appropriate elements and indicators were found at a high level. 2) The results of the evaluation model for faculty organizational effectiveness found consisted of 8 sections: Principles of assessment present the objective assessment and evaluation model, Structure of assessment, Elements of assessment organizational effectiveness, Assessment methods consisted of evaluation process and audit process, Evaluation criteria and scoring system, Assessment tools and how to use them, The operating system to support the assessment and The use of the assessment results. 3) According to the evaluation of using the model, it was found that 3.1 Effectiveness of the organization Education Faculty, Mahasarakham University found at a highest level. 3.2 The results of the implementation were found at a moderate to high level. and 3.3 The evaluation results of appropriateness and the ability to use the evaluation were found at a highest level. Key words: Evaluation model; Organizational effectiveness; Public university
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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 | 0.014 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".