EFL Students’ Perceptions of the Effectiveness of Virtual Classrooms in Enhancing Communication Skills
Bibliographic record
Abstract
This study aimed to examine students’ perceptions of the effectiveness of virtual classrooms in enhancing their communication skills. Study participants were 43 female English majors at the College of Education at a Saudi Arabian university. This study was conducted during the first semester of the 2020/2021 academic year when COVID-19 restrictions necessitated online learning. The study implemented a mixed methodology approach in which qualitative and quantitative tools were used to collect data. Two data collection instruments were used: a questionnaire and observations. In the questionnaire findings, students identified lack of confidence, anxiety surrounding making mistakes, and lack of vocabulary as their greatest challenges when communicating in English. The questionnaire also revealed that students held positive attitudes towards the effectiveness of virtual classrooms in enhancing their oral communication skills. The observation data revealed that virtual classrooms can play a significant role in enhancing students’ communication skills. However, despite their positive views of virtual classrooms, students agreed that the lack of face-to-face communication was a major obstacle in online learning.
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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 | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".