Season of Migration to Remote Language Learning Platforms: Voices from EFL University Learners
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 abrupt disruption of the traditional face-to-face language instruction due to the unprecedented COVID-19 pandemic has forced many schools and higher learning institutions in Oman and around the globe to establish a virtual learning environment. This crisis-prompted remote learning has been a new experience for most teachers and students alike, a variable that may affect students' learning. Thus, it is significant to understand the students' experience with online teaching and learning. This study explicitly examines online teaching and learning as perceived by English as a Foreign Language (EFL) students of a higher learning institution in Oman. A total number of (112) undergraduate students in Oman acted as a data source by responding to a computer-assisted survey questionnaire. The survey focused on the following themes: overall first-time online language learning experience; online courses; online learning mode and attainment of graduate attributes; effectiveness of online teaching and delivery; utilization and usefulness of electronic learning devices; and e-learning language skills. The findings highlight the significance of exploring learners' online learning experience and its implications for planning, implementing, teaching, and assessing online language education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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