An Empowerment Tool for Teaching English Effectively to Refugees: A Case Study of Syrian Adult Refugees in the UK
Bibliographic record
Abstract
There is a growing demand today to fill the gap in the literature with studies that focus on teaching English to adult refugees who are illiterate or have had interrupted education and no English proficiency. This group has been ignored because ESOL courses are not designed to serve their needs, namely, to be self-reliant and socially integrated. This paper shares my personal experience with six Syrian adult refugees, 2 females and 4 males ranging in age from 26 to 52, with either interrupted elementary education or illiteracy. They had no English language proficiency and could neither speak nor understand English at all. Their first language was Arabic. The rote learning approach was used as an empowerment tool to teach self-reliance in speaking and listening when dealing with these participants’ priority themes. The approach is based on memorization using both repetition and recall. Their remarks of progress towards self-reliance varied due to age and motivational factors. Four participants moved from A0 level to A1+, while the other two reached A2 level. Gaining self-reliance helped them to socially integrate, find a job, and gain greater self-confidence. Results of the study might be useful to teachers who are involved in teaching English to refugees as volunteers and to refugees’ organizations to shift from relying totally on interpretation to rote learning when specifically dealing with this group of refugees.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.071 |
| 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".