Relationship among Iranian EFL Students’ Foreign Language Anxiety, Foreign Language Listening Anxiety and Their Listening Comprehension
Bibliographic record
Abstract
Anxiety is an influential factor in a foreign language learning domain and plays a crucial role in language learners’ performance. The following study was conducted to explore the possible impact of Foreign Language Anxiety and Foreign Language Listening Anxiety on language learners’ listening skill. The researcher was interested to know the correlation that could exist among the three variables: Listening Comprehension, Foreign Language Anxiety and Foreign Language Listening Anxiety. The participants of the study were 210 Iranian EFL students in Iran. The study revealed that there was -.414 correlations between FLLA and listening comprehension and -.214 correlations between FLA and listening comprehension whereas FLA and FLLA enjoyed a .513 correlation. It can be concluded that the relationship between Foreign Language Anxiety and Foreign Language Listening Anxiety of the participants are in accordance with each other. Furthermore the result shows that the impact of FLLA on Iranian students’ listening comprehension skill is significantly more problematic. Therefore it is recommended that FL teachers and learners should be more aware of the hindering effect of FLA and FLLA in particular on the process of teaching and learning the listening comprehension.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".