The Difference between EFL Students’ Preferred Learning Styles and EFL Teachers’ Preferred Teaching Styles in Saudi Arabia
Why this work is in the frame
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Bibliographic record
Abstract
This study investigated the difference between EFL students’ preferred learning styles (PLS) and EFL teachers’ preferred teaching styles (PTS) in Saudi Arabia. The participants in this study were 130 EFL students and 102 EFL teachers. Felder and Silverman’s learning/teaching style model was employed to identify students’ learning styles as well as teachers’ teaching styles. The study’s results revealed that EFL students preferred the sensing, visual, active, and sequential learning styles. It was also found that EFL teachers preferred the abstract, verbal, passive, and global teaching styles. The study revealed a statistically significant difference between students’ learning styles and teachers’ teaching styles. These results showed that there was a mismatch between students’ PLS and teachers’ PTS and recommendations were proposed to bridge this gap.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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