How does anxiety influence language performance? From the perspectives of foreign language classroom anxiety and cognitive test anxiety
Bibliographic record
Abstract
This study examined the relationships between students’ foreign language classroom anxiety and cognitive test anxiety and their College English Test Band 4 (CET-4) performance. A questionnaire was distributed to 921 Chinese university students to understand the nature and degree of the examined relationships. Follow-up interviews with 12 students were used to shed further light on uncovering mechanisms of relationships found in the survey. Results revealed three factors of anxiety, explaining 43.14% of the total variance examined in the quesionnaire items. Means, standard deviations, the internal consistency for each factor, and zero-order correlations among the three factors were calculated. Correlation and multiple regression of the anxiety factors and test scores were then conducted. Results confirmed that cognitive test anxiety factor was a significant negative predictor of language achievement. Interview results did not fully support the relationships found in the survey. Most students did not perceive themselves to be very anxious in their university settings, either in classrooms or in testing situations. However, they did express their anxiety toward English speaking skills in the classroom. The differential perspectives of anxiety revealed from both analyses indicate that a better understanding of language classroom anxiety and cognitive test anxiety can help students and teachers optimize their foreign langauge learning and teaching practices.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".