Needs Analysis of Saudi EFL Female Students: A Case Study of Qassim University
Why this work is in the frame
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Bibliographic record
Abstract
This research study analyzes the target needs of EFL female Saudi students to choose EFL as their specialization.The population of the research is the female students enrolled in Bachelors in English program, at the Department ofEnglish Language and Translation, Qassim University Saudi Arabia. Adapting the Hutchinson And Waters model ofNeeds Analysis, the study covers the Target needs( i.e. Necessities, Lacks and Wants) and the Learning needs. Itaims to suggest certain amendments in the curriculum on the basis of needs analysis. The sample for study consistedof 150 students, the data was collected through questionnaire and analyzed by using SPSS. Overall assessment of thedata shows that the learners show their weakness in oral skills i.e. Listening and Speaking as compared to literaryskills i.e. Reading and Writing. Students have shown their preference for the incorporation of practical activities andmedia based teaching material in their syllabus.
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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 | 0.001 | 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) | 0.000 | 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 it