Digital-Native Trends in Teaching ESP to Engineering Students in Saudi Arabia
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 internet has redefined every aspect of human life-personal routines, business practices, and education. Advances in information and communication technology have also influenced English language learning and teaching in classrooms. This study explores the effectiveness of eLearning tools in teaching English for Specific Purposes (ESP) courses to engineering students in Saudi Arabia. To achieve the objectives of the study, a questionnaire with 15 questions about the employment of eLearning tools in Saudi universities was distributed to 60 ESP instructors selected from across universities in Saudi Arabia based on convenience sampling. The analysis of the data is inferential and interpretive. The results reveal that the adoption of eLearning tools in ESP classrooms is perceived by instructors to be effective for teaching the English language to engineering students. However, as per the result, eLearning tools along with traditional teaching methods are considered more convicing for teaching ESP to engineering students.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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