Empowering Teachers' Learning to Foster Innovative Work Behaviors of Students
Bibliographic record
Abstract
This research aims to conduct research using the Research and Development (R&D) methodology to obtain an educational innovation called "online self-training program for empowering teachers' learning to foster innovative work behaviors of students" that is effective and can be applied in schools serving as the target population in disseminating research results widely. This online self-training program consists of 2 projects: 1) a teacher development project with seven self-training modules for teacher learning and 2) a teacher project that uses teachers' learning outcomes to develop students, which contains one self-training module to be used as a practice guide for teachers. The results of the experimental research in the first project found that the 14 teachers' post-test scores in the experimental group were in line with the standard criteria of 90/90 and were significantly higher than the scores from the pre-test. Moreover, the results of the experimental research in the second project found that 121 students who were the target group affected by the development had significantly higher scores from the post-test than the pre-test. Since the research results follow the specified research hypotheses, it shows that the educational innovations as the products of this research are of quality and can be disseminated for further use by teachers and students in schools that are the target population.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 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".