Study the Current and Optimal Status of Teaching Environment at High Schools with Emphasis on Curriculum Experts and Teachers Viewpoints
Bibliographic record
Abstract
The purpose of present research was to study the current and optimal status of teaching environment at high schools in Iran with emphasis on curriculum experts and teachers viewpoints. Research method was mixed method. In the qualitative part, experts viewpoints were gathered through a semi-structured interview. In the quantitative part, 258 high school teachers were selected randomly as statistical sample and a researcher-made questionnaire was distributed among them to collect data. Content validity was used to determine the questionnaire validity, and its reliability was calculated at 0.90, using Cronbach at alpha coefficient. Findings showed that, according to experts’ viewpoints, status of teaching environment at high schools is not desirable. Also, findings suggest that best teaching method for environment in Iran is a blended-electronic, project-oriented, teaching practical skills in open spaces. Iranian teachers chose teaching methods to teach environmental not only to promote their knowledge but also affect the attitude and skills of environmental protection and creating environmental conduct.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".