Saudi Students’ Perception of ESP Courses in the Preparatory Year
Bibliographic record
Abstract
Globalisation has made English a dominant language both in education and in manpower recruitment worldwide. Due to globalisation and Vision 2030 in Saudi Arabia which enhanced the involvement of Saudi youth in the work force, the study of English language, especially English for Specific Purposes (ESP), has become increasingly important in the Saudi context. Therefore, this research study aims to investigate the importance of learning ESP by highlighting students’ perceptions of the ESP courses delivered in the preparatory year in a Saudi university. To achieve this, a quantitative method was employed to collect data. The study briefly explores the impact of students’ perceptions of the subject matter on their performance. It focusses on students’ perception of the impact of learning the different components of ESP, i.e., reading, writing, listening and speaking, on their current studies and future career. A study sample of 70 participants responded to the Dundee Ready Educational Environment Measure (DREEM) questionnaire. The results revealed that the students indicated that ESP was important for, not only their current studies, but also for their future careers. Another significant outcome of the research was that the students believed that competence in ESP can help them to understand specialised textbooks.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".