An Empirical Study on Foreign Language Anxiety of Non-English Major Students: Take the Sophomores in Inner Mongolia University of Technology as an Example
Bibliographic record
Abstract
Foreign Language Anxiety in English learning is one of the major concerns in the field of second language acquisition. In most cases, FLA is debilitating to English language learners due to their communication comprehension, lack of confidence and learning interests, etc. This paper aims at researching the causal relationship between the FLA and the English learning performance, as well as the internal validity of ELA among Chinese EFL learners. In order to analyze the cause of FLA, research has been conducted employing the Foreign Language Classroom Anxiety Scale. In the survey, the above anxiety scale is applied in the field research of 200 non-English major sophomore students in Inner Mongolia University of Technology. Through statistics analysis of the Means score, Std. Deviation and T-test, correlation between ELA and gender (male and female), discipline (arts and science) are drawn respectively.
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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 | 0.001 | 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 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".