Difficulties Encountered by EFL Students in Learning Pronunciation: A Case Study of Sudanese Higher Secondary Schools
Bibliographic record
Abstract
This study aims at investigating the problems which have been encountered by higher secondary schools students when they try to learn English pronunciation. The problem of this study is that most of the higher secondary school students in Sudan produced incorrect pronunciation for many of English words. So this study is attempted to deal with problem to find the most suitable solutions for it. The participants are Sudanese students of higher secondary schools especially at Shikan locality in Northern Kordofan State. The researcher uses the descriptive analytical approach because it is suitable for such studies. The data of this study is collected by means of recording test and questionnaire. The findings showed that the problems of pronunciation are the result of many teaching difficulties, and the strategies of teaching pronunciation are helpful in producing correct speech pronunciation. Finally the researcher recommends that: Sudanese EFL learners, who are specialized in ELT, should obtain a high level of intelligibility, and the language laboratory should exist in all the higher secondary schools to practice phonetic exercises.
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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 | 0.018 |
| 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 | 0.001 |
| 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".