A Remedial English Course from the Freshmen EFL Learners’ Viewpoints and Expectations at the Hashemite University in Jordan
Bibliographic record
Abstract
The higher education system in Jordan requires freshmen students in each university to set for an English aptitude exam. If the student fails in this exam, s/he should register in the remedial English 99 course which is regarded as a prerequisite for English 101. The purpose of this study is to explore students’ expectations of this course and whether these expectations are met. The study adopts a qualitative design. Data was collected through a questionnaire interview from 97 students registered in two sections in the Language Center at the university. The findings of the study revealed that students expected the course would improve their communication skills. Later, they discovered that this course benefited them more from the grammatical and structural aspects of language. The findings can be valuable for EFL curriculum developers, syllabus designers and administrators to understand students’ needs better and to take their viewpoints into account.
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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".