Program Development for Enhance Teachers’ Competencies for Managing Logistics and Supply Chain in Institutions under the Office of the Vocational Education Commission
Bibliographic record
Abstract
This research purposes 1) to study teachers' competency in logistics and supply chain in vocational institutions, 2) to investigate teacher competencies in logistics and supply chain, and 3) to create and develop programs, 4) to strengthening teachers' competencies in logistics and supply chain. This research and development approach was separated into 3 phases; 1) teachers' competency in logistics and supply chain by experts; 2) requirement needs to develop the competency of teachers in logistics and supply chain in education institutes by experts and 3) applying the program for developing teachers’ complacencies in logistics and supply chain. The sample group were 144 people, and 23 indicators of teacher competency, 2) Study current conditions revealed that teacher's competency as a whole at a whole highest and overall need was at an average level with (PNImodified) 0.36, 3) the results of creating and developing a teacher competency program for logistics and supply chain management in educational institutions the Vocational Commission contents, 4) development methods, and 5) program evaluations. The overall evaluation of the program was suitable, feasible, and useful. The results of the teacher competency shown; 1) knowledge, competence, the efficiency of the practice process/efficiency of knowledge outcomes with an average percentage of 93.01/92.83, which is higher than 80/80 criterion set and, 2) after development knowledge is higher which is equal 0.9014, which meant gaining more knowledge at 90.14 percent when applying with the target group before using the program, mean values of the teachers (X=3.30, S.D.=0.50) and after using the program, the logistics and supply chain management was at the highest level.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".