Investigation for utilization of training resources in technical education: A comparative study
Bibliographic record
Abstract
This research study presents a comparative study between the quarter and the semester systems in the technical institutes, in terms of scheduling, training, and utilizing the training resources such as classrooms/halls capacity and employing the instructors. The size of the study sample was represented by the total number of students in classrooms/halls for the study courses in the quarter system by 8836 students distributed over 363 sections. While in the semester system 10360 students distributed over 358 sections. Thus, a comparison was made based on one training year between the two training systems for basic skills courses. The samples were used to know the effect of class capacity and teaching loads on the training system by making initial comparisons, and statistical tools were used where averages of class capacity and teaching loads were calculated to know the status and trends of the data using the plot box. In addition to descriptive statistics (Two samples F-test for variance) and finally, (t-test: Two samples assuming unequal variance) were selected. The p-value less than 0.05 of single-tailed confirmed that classroom capacity and instructors’ load were higher in the semester system compared to the quarter system.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".