Anxiety and Stress in In-service Chinese University Teachers of Arts
Bibliographic record
Abstract
As revealed by literature, anxiety and stress are complicated yet serious issues among teachers at all educational levels. Though widely studied, research on them often focuses on pre-service or primary and middle school teachers, with little research on in-service university teachers. It is especially so in China. The present study thus examined anxiety, stress and their relations with demographic variables in in-service university teachers in China. 256 teachers from various universities in China answered the Demographic Questionnaire, the Teaching Anxiety Scale and the Teacher Stress Inventory. Analyses of the data revealed the following main findings: (1) the participants were under great stress, but they were generally not so anxious about teaching, (2) teaching anxiety was generally significantly negatively correlated with age, professional title and years of teaching, while teacher stress was significantly negatively related to professional title, and (3) overall teacher stress, professional title and age were powerful predictors for teaching anxiety, while years of teaching, overall teaching anxiety and its subscales were powerful predictors for teacher stress. Based on these findings, some implications are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".