A Student Perspective on Low English Proficiency in Oman
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Omani government attaches great importance to English in the education of Omani youth and their preparation for a multicultural world of employment. It has therefore poured large resources into English language teaching in the nation’s schools, colleges and universities. Unfortunately, these efforts have not yielded gains proportionate to this investment. Students continue to graduate from schools with inadequate English language proficiency and the majority therefore require remedial or intensive courses in a “foundation” program before beginning tertiary level study. Based on a student perspective, this study investigated the above problem. Using data from focus groups and personal reports (based on a qualitative questionnaire) from 100 tertiary education students, it found that the major factors involved were as follows: ineffective teachers, inadequate curricula, uninterested students, limited exposure to English outside the classroom, unsupportive parents, a poor school system, and peer-group discouragement. Participants suggested a number of solutions and especially encouraging students to learn English by showing them its international status and its importance for their future education and employment.
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.
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 | 0.000 | 0.001 |
| 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 it