ESP Needs Analysis of Iranian MA Students: A Case Study of the University of Isfahan
Bibliographic record
Abstract
The aim of this study was to investigate the foreign language learning needs of Iranian MA students, in particular those who were majoring in biology, psychology, physical training, accounting and west philosophy. A total of 80 students from five MA majors studying at university of Isfahan participated in the study. Additionally, twenty- five subject-specific instructors as well as seven English instructors took part in the study. The study was designed on qualitative and quantitative survey basis using interviews, questionnaires, and texts. In order to investigate participants’ point of views, chi-square test was used to analyze the data. The result obtained revealed that majority of the participants were dissatisfied with the current ESP courses for MA students. Most of the participants asked for an urgent need for revision and reconsideration of English instruction in the Iranian educational system as well as universities, stating that Iranian students do not have enough exposure to English language in a way that help them to fulfill their subjective and objective needs at MA level . Giving more weight to English in the MA entrance exam was suggested as one possible solution. It was thought that this would increase the motivation of the students to improve their language proficiency; furthermore, joint teaching of the ESP courses was suggested as another solution to help students meet their English needs at the MA level.
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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 | 0.000 | 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) | 0.001 | 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".