The Value and Attributes of an Effective Preparatory English Program: Perceptions of Saudi University Students
Bibliographic record
Abstract
This study investigates the effects of gender and geographical location on the perceptions of Saudi university students regarding the value of preparatory English programs and their attributes. Data was collected during the fall of 2013 from three sample universities in the Kingdom of Saudi Arabia (KSA) using an online survey as the instrument. Participants in the study (N = 479) were all enrolled in similar preparatory year English programs in the kingdom and totaled one hundred eighty-four male students and two hundred ninety-five female students. Encouraging results from this study suggest that Saudi university students do realize the value of a preparatory year English program. In most cases, they share common perceptions about which attributes are needed to insure the success of any such program. In some cases, there are significant differences based on gender and geographical location. While research studies on the specific language skills of Saudi university students are increasing steadily each year, the number of studies on preparatory English programs in Saudi Arabia is limited. This study marks the first kingdom-wide, large-scale quantitative analysis study on the programs themselves.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".