Telegram App in Learning English: EFL Students’ Perceptions
Why this work is in the frame
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Bibliographic record
Abstract
The rapid growth of mobile device technology and the emergence of new mobile device applications such as Telegram have created new opportunities for EFL students. Accordingly, the current study investigated the EFL College students’ perceptions of using Telegram for English language learning. The participants of the present study were 300 EFL college students, 200 female and 100 male were selected randomly from the department of English and Translation at Tibah University in AL-Medina AL-Manwarah in Saudi Arabia. This study followed a quantitative approach in which a survey questionnaire was utilized as an instrument for data collection. The results revealed that the majority of EFL students perceived Telegram as a useful tool for English language learning, particularly in vocabulary learning. The findings of the present study may contribute to developing the process of improving learning techniques in higher education in Saudi Arabia.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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