Jordanian Students’ Perceptions, Understanding, and Knowledge towards the Role of Internet in Learning “Englishes” and English Language Skills
Bibliographic record
Abstract
The study aims to identify the perceptions of university students of Jordan towards the role of internet in learning and improving their understanding of Englishes and English language skills. The study followed a cross-sectional study design and a structured questionnaire was used to collect data from 181 university level students studying in different public and private sector universities. Descriptive statistics and regression analysis were used to present the findings. Results of the analysis indicated marked positive perceptions of students towards the role of internet in learning Englishes and language skills. Majority of students, considered internet as a useful tool and a learning platform that could help them in understanding and identifying the differences between British and American Englishes. Besides, most of the responses indicated an insignificant relation between students’ perceptions of World Englishes and the role of internet. Jordanian University students discovered the potential importance of internet in learning English language skills and World Englishes and, therefore, internet is considered helpful in developing their self-learning skills, self-confidence, and it also influences their learning attitude, and strengthens their linguistic skills.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".