Investigating Foreign Language Learning Anxiety Among Yemeni University EFL Learners: A Theoretical Framework Development
Bibliographic record
Abstract
This study aimed at investigating the level of foreign language anxiety experienced by Yemeni University EFL students. Although many scales have been developed to measure the level of anxiety, each scale investigates anxiety in one skill except Foreign Language Classroom Anxiety Scale (FLCAS) which investigates anxiety mainly in speaking and listening. The current study developed a new scale called Foreign Language Anxiety Scale (FLAS) which fused the three scales with modifications in order to investigate the level of anxiety in the four skills. This scale scored .807 in Cronbach’s Alpha Validity test. The participants are 155 Yemeni University students and the results of the analysis revealed that 13% of the students experienced high level of anxiety, 69% experienced moderate level of anxiety, and 18% experienced low level of anxiety. The general level of anxiety among Yemeni university EFL students is moderate as they score 138 out of 240.
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How this classification was reachedexpand
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".