English as a Foreign Language Teachers’ Perceptions Towards The Use of the Communicative Testing Method
Bibliographic record
Abstract
The current study addresses the existing gap between English language programme of the secondary stage classes, and the English language testing method of the Ministry of Education in the Kurdistan Region of Iraq (KRI), which is used to assess students’ outcomes in English language in the school leaving exams (known as Baccalaureate Exams).The study aims at exploring EFL teachers’ views about English language testing method acquired in the Baccalaureate exams in developing students’ communicative skills. It also aims at revealing their opinions regarding the introduction of a more communicative format for testing students’ outcomes in English in the Baccalaureate Exams of Grade 12. The data for the current study was collected through a questionnaire with a sample of 60 EFL teachers who teach English at Grade 12 in different secondary schools in the KRI. The main findings of the study showed that, the English language test, in the Baccalaureate exams, does not meet the communicative needs of the students. This study has implications for the Ministry of Education to introduce more communicative tests in assessing students’ levels of English at the end of their secondary education.
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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 | 0.012 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".