Penerapan Pendampingan Dalam Meningkatkan Kompetensi Supervisi Akademik Kepala SMA Binaan di Wilayah Kabupaten Nias Barat
Bibliographic record
Abstract
This research is motivated by the lack of school principals’ competency to carry out academic supervision. This study aims to improve the ability of school principals' academic supervision, especially in planning, implementing, evaluating and following up on academic supervision. The research was conducted in 7 (seven) assisted high schools in West Nias Regency. The research subjects were 7 school principals. The research was conducted using the School Action Research (PTS) method for 2 cycles. Actions taken to improve the supervisory competence of school principals are mentoring activities from school supervisors. The results showed that in cycle I there was an increase in the competency of school principals' academic supervision after mentoring by 57.14%, and in cycle II the ability of school principals increased to 100%. The conclusion from this study is that the assistance provided by school supervisors can improve the competency of school principals to carry out academic supervision. Therefore, it is hoped that school supervisors will always provide assistance to school principals on an ongoing basis, so that it has a positive impact on improving teacher performance and student learning outcomes.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".