Effectiveness of the Remedial Courses on Improving EFL/ESL Students’ Performance at University Level in the Arab World
Bibliographic record
Abstract
Many hypotheses have been passed by professors in the language teaching profession concerning the effects of remedial courses in enhancing the skills of students in the English language. Most people share the sentiment that remedial courses are quests in vain when it gets to improving the skills of students learning English as a first or second language (EFL/ESL). Others claim that the teaching strategy is the key to attaining the positive results in students taking remedial courses. This research looks into evidence presented by other researchers about the effectiveness of remedial courses. The research material used is mainly secondary. Through a comprehensive exploration of the information from various researchers, the paper has presented those researchers’ findings on the issue. The research hypothesis is, ‘remedial courses have no effect in increasing the performance of EFL/ESL students.’ The research findings indicate that the remedial courses in the Arab universities have been ineffective in increasing English language skills of students learning EFL/ESL.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".