Challenges Experienced by EFL Learners in the Context of the ESP Course at Qassim University, Saudi Arabia
Bibliographic record
Abstract
This study summarizes difficulties associated with studying a course entitled "English Language 01, with a university code (ENG 101) as a general university requirement course for non-specialist students taught to various departments at Qassim University. ENG 101, is a university preparatory course with an overall objective that goes beyond improving student English language skills, which remained a challenge for some students. Despite the clarity of its objectives, achieving these goals is difficult for some students, especially those who joined colleges with poor language skills. Thus, their problems go back to previous stages where traditional teaching methods were prevalent. Concerning data collection required for investigating problems associated with the present study, the researchers used a qualitative data collection technique that involves gathering and processing numerical data to conduct statistical analysis. Data analysis showed several significant findings, writing and listening respectively emerge as the most formidable talent, as evidenced by a great number of "Not Good At" responses, with the majority of participants experiencing difficulty with these two essential skills.
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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 | 0.001 |
| 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".