Foreign Language Virtual Class Room: Anxiety Creator or Healer?
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
Virtual classroom using technology is a novel dimension in distance learning and teaching pedagogy during the pandemic situation across the globe. Researchers regard e-learning as an opportunity for future teaching and learning approach. Therefore, recent pieces of literature on Foreign Language Anxiety, Technological anxiety and E-learning using virtual classroom inspires the current researchers to foster a real picture of Bangladeshi educational institutions. The study aims at investigating whether the virtual classroom situation creates anything new in Foreign Language Anxiety or heals the learners from anxiety experienced in the physical classroom. A self-made Foreign Language Virtual Classroom Anxiety Scale (FLVCAS) was conducted through 104 students’ participation from three public and three private universities of Bangladesh. Through the tertiary level learners’ physical language classroom and virtual language classroom participation, the quantitative data has been collected. In-depth interview and focus group discussion have also been conducted to collect qualitative data. The study also shows findings and important recommendations for the concerned so that virtual language classroom environment and anxiety-free ‘Foreign Language Virtual Classroom’ can be implemented.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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