Levels and Types of Questions Raised by EFL Teachers in Southern Al-Mazar Directorate of Education
Bibliographic record
Abstract
This study aimed at investigating the levels and types of questions raised by EFL teachers in Southern Al-Mazar directorate of Education. The study comprised (12) female/ male teachers. The results of the study showed that; male/female teachers asked (1603) questions; (1290) questions were within the low level and (313) questions were high level. Female/male teachers asked (1603) questions where (393) questions were open and (1210) were ended questions . The results also, showed that female teachers asked (729) questions whereas male teachers asked (874). Also, the results of the study showed that females/ males teachers with high experience asked questions more than those teachers with less experience. In light of the results of the study, the researcher had suggested some recommendations to the concern. Key words : Levels of questions; Types of questions; EFL teachers questions Resume Cette etude visait a etudier les niveaux et types de questions posees par les enseignants EFL dans le sud de Mazar Al-Direction de l’education. L’etude comprenait (12) enseignants de sexe feminin/ masculin. Les resultats de l’etude a montre que, mâle/ femelle des enseignants a demande (1603) des questions; (1290) des questions se situaient dans le bas niveau et (313) questions etaient de haut niveau. Les enseignants des femmes/ hommes a demande (1603) questions ou (393) des questions etaient ouvertes et (1210) ont ete clos questions. Les resultats ont egalement, a montre que les enseignantes demande (729) des questions alors que les enseignants masculins a demande (874). En outre, les resultats de l’etude a montre que les femelles ou les mâles des enseignants ayant une experience de haute pose des questions plus que ces enseignants ayant moins d’experience. A la lumiere des resultats de l’etude, le chercheur a suggere quelques recommandations a la preoccupation. Mots cles : Niveaux de questions; Types de questions; EFL questions d’enseignant
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".