Development on the Learning Module of School-Based Supervision Course for Master Degree Students, Majoring Educational Administration in Thailand
Bibliographic record
Abstract
This paper described the development process and evaluations of a learning module, School-based Supervision of Students (ED8013307), of master's degree students in Educational Administration during the academic year 2019 at Northeastern University, Khon Kaen, Thailand. The results of the learning module found the efficiency of the learning module was higher than the specified criterion of 80/80, both in the action process (84.76) and in the efficiency of knowledge (82.16). The developed module had its quality, propriety, congruence, feasibility and utility at the highest level. The effectiveness index in students’ learning management was 0.7578 indicated the increasing knowledge of the students at 75.78% as their learning achievement-test was significantly higher than the pre-test at 0.05. Beside these, there were no significant differences between pre-test and post-test learning achievement after 2 weeks indicating that they have had their learning retention. The students expressed overall satisfaction with the learning module at the highest level.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 teacher head, 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".