The Chinese Bouyei College Students’ Classroom Anxiety in Foreign Language Learning: A Survey Study
Bibliographic record
Abstract
This survey study aims to investigate the level of the Chinese Bouyei college students’ general foreign language (FL) classroom anxiety, the relationships between their FL classroom anxiety and the four independent variables, gender, major field of study, level of academic year, and level of college, and possible causal factors contributive to their FL classroom anxiety. A previously published written questionnaire was administered to 320 1st- and 2nd-year Bouyei college learners in three main fields of study at five colleges of two levels in south and southwest areas of Guizhou Province, China. Ten interview questions were also conducted to 25 interviewees randomly selected from these colleges. The results of the analysis show that the Chinese Bouyei college learners experienced medium level of FL classroom anxiety; there were significant differences between their FL classroom anxiety and the first three independent variables, but not the last; and twelve main causal factors were found contributive to their FL classroom anxiety, among which some are new or different from the findings of the previous studies. Discussion was made on the research findings and what the interviewees expected from the teachers, followed by implications and suggestions for FL instructors that might help enhance and facilitate students’ FL learning.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".