Explaining Ideal Teacher Competences in the Islamic Republic of Iran—Based on the Revolutionary Documentations of Its Education and Pedagogical System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p class="apa">The roles of teachers and schools are changing, and so are expectations about them. Teachers must educate in progressively multicultural classrooms, coordinate students with particular needs, utilize ICT for teaching viably, engage in evaluation and accountability processes, and involve parents in schools. In such, this study aimed to identify and introduce ideal teacher competences in the Islamic Republic of Iran based on the revolutionary documentations of its education and pedagogical system. To do so, 544 pages of the texts of these documentations were meticulously studied and analyzed by qualitative content analysis using the inductive method in creating categories. Then, 138 items representing ideal teacher competences in the Islamic Republic of Iran were extracted and categorized. The results of the research showed 5 main domains of competences—including knowledge, skill, attitude, action, and ethics—as well as their sub-qualifications and related components. This analysis facilitates codification of special criteria for recruiting efficient and effective personnel; planning, predicting and designing a curriculum based on teacher competences; and attracting the attention of experts and macro curriculum planners of universities responsible for teacher training.</p>
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.
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 | 0.002 | 0.003 |
| 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) | 0.000 | 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 it