English in an EFL Context: Teachers’ and Learners’ Motivations for English Language Learning
Bibliographic record
Abstract
The present study explores the ways in which English is used in public discourse in Tehran-Iran and the motivations of Iranian - English as a Foreign Language (EFL) learners and teachers towards English language learning. The paper begins with an overview of different places in which English is used in Iran, such as media, public signs, traffic signs, advertisements, products, people’s ordinary lives, and education. A cohort of 327 participants, including 168 Iranian EFL learners (male and female) and 159 experienced Iranian EFL teachers (male and female) responded to an English language motivation questionnaire. The results revealed that there is an active presence of English in Iran. In addition, the majority of Iranian EFL learners and teachers involved in the study regard English as an important part of their lives for many and various reasons such as being up-to-date, love, education, learning a new skill, being promoted, having a better and more highly qualified job and increased life chances.
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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 | 0.002 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| 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".