Bibliographic record
Abstract
Korean teachers observe and analyze their classes from a reflective point of view. They directly observed videos of their classes and interpret the class. Through this process, the teacher plays the role of a subject who interprets his/her class, and in the process, he/she can look at his/her class as a whole. In this study, 50 selfclass observation reports were collected, and analyzed using the NVivo 12 program. As a result of the analysis, 362 contents of self-reflection by teachers were found, and these were categorized into teacher factors, learner factors, class factors, and environmental factors. Among them, the most reflective content was on class factors. The content was about the problems and difficulties that the teacher encountered in the process of preparing and conducting the class. In order to improve a Korean teacher's class expertise and class quality, it is necessary for the teacher to view and interpret his/her own class from a reflective point of view. Therefore, it is necessary to continuously provide opportunities for class reflection so that teachers can improve their own classes.
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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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".