Teachers’ Strategies for Decreasing Students’ Anxiety Levels to Improve Their Communicative Skills
Bibliographic record
Abstract
Students’ high levels of foreign-language classroom anxiety (FLCA) are reported to have a negative impact on their target language performance in classrooms. There are some anxiety studies from the students' perspective in the existing literature, but few from the teachers' perspective, particularly in Japan. Therefore, the aim of this study was to investigate how teachers managed students' levels of anxiety, which may lead to an improvement in their communication skills. Semi-structured individual interviews were conducted with six teachers. Various strategies that teachers could use to decrease students’ levels of anxiety were introduced. In communicative lessons, students need to practice speaking and listening in class as much as possible to improve these skills in an English as a foreign language (EFL) context. Therefore, teachers should use various methods to increase the opportunities for students to speak a target language in class, and to create an unthreatening classroom environment in which students can speak without hesitation. In addition, teachers could use group dynamics effectively to ensure seamless classroom management.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".