Using the CEFR for Improving Pre-service Teachers’ Communicative Competence
Bibliographic record
Abstract
The study investigated the effects of implementing "the Common European Framework of Reference for Languages" "CEFR" in the English courses in a teacher education program at one Iraqi public university. An intensive 288-hour CEFR-informed program focusing on communicative language competence was designed. The data collection consists of two phases: pre-CEFR and post-CEFR implementations. A total of 150 fourth-year pre-service teachers participated in the study. The questionnaire was the only instrument used for the data collection, which consisted of two parts: the CEFR Self-Assessment Grid and Bachman and Palmer’s linguistic test. The CEFR Self-Assessment Grid was used to access participants self-assessments of their English proficiency. In addition, the linguistic test examines 13 criteria of language knowledge: language vocabulary, syntax, phonology/graphology (grammatical knowledge), knowledge of cohesion, rhetorical organization, conversational organization (textual knowledge), ideational knowledge, manipulative knowledge, instrumental knowledge, imaginative knowledge (functional knowledge), knowledge of dialects, registers, and idiomatic expressions. It was hypothesized that there would be an improvement in pre-service teachers' performance after the implementation of the CEFR as a teaching framework. All the participants took the pre-CEFR and post-CEFR tests to examine their English language competency. The questionnaire was used in pre- and post-tests. The pre-CEFR test results showed that a significant percentage of the participants did not have adequate proficiency to be an English teacher (CEFR A2 and B1). Consequently, a course was designed to enhance pre-service teachers' communicative competence level required for them to be effective teachers, which is considered the main goal of teaching and learning English in the Iraqi colleges of education. The results were estimated according to the CEFR self-assessment grid and Bachman and Plamer’s (1996) checklist. The results of the post-test proved that the pre-service teachers had made more progress in their language proficiency as a result of implementing the CEFR compared to their levels before.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".