Classroom Anxiety and Self-efficacy among Learners of Japanese as a Foreign Language in Canada
Bibliographic record
Abstract
The recent increase in international students has led to more attention to inclusive pedagogical methods in foreign language classrooms at Canadian universities. International students from Asia constitute a significant part of foreign language learners in Canadian universities (Statistics Canada, 2022b). In particular, Asian young adult learners have higher foreign language classroom anxiety (FLCA) (Toyama & Yamazaki, 2022). In addition, it has been observed that East Asian learners’ self-efficacy (SE) affects their foreign/second language (L2) proficiency more than that of learners from Western cultures (Wang & Sun, 2020). Specifically in reading, listening, and writing, foreign language anxiety (FLA) negatively correlates with SE (Reading and Listening: Mills et al., 2006; Writing: Woodrow, 2011). \n\nThe present study employed a mixed methods approach (survey and interviews) to investigate learners’ FLCA, speaking SE (SSE), oral proficiency, and attitudes toward classmates’ language proficiency among Asian international learners (AILs) and Canadian learners (CLs) of Japanese as a foreign language (JFL). Fifty-two individuals participated in the study, who attended elective Japanese language courses at a medium-sized university in Canada. \n\nThe quantitative instrument was a survey that contained questions about demographic information, FLCA, SSE, engagement, and motivation for Japanese learning. Spearman’s rank correlation coefficient demonstrated a medium negative correlation between FLCA and SSE among AILs. However, no significant correlations were confirmed among CLs. The short oral proficiency test (OPT) scores were negatively correlated with AILs’ FLCA and positively correlated with their SSE but not CLs’.\n\nThe qualitative approach employed a 30-minute-long semi-structured interview where the participants were asked mainly about their perception of their classmates’ Japanese proficiency and the moments they felt anxious. A thematic analysis demonstrated that most AILs feared making mistakes during lectures in their Japanese classes and were self-conscious of their utterances in front of their classes. On the contrary, some CLs felt anxious when they were not well-prepared for class content. Still, most CLs rarely paid much attention to high achievers in their Japanese classes. \n\nIn conclusion, the study found that AILs were primarily concerned about making mistakes in their Japanese classes, whereas some CLs were not negatively affected by their classmates' presence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 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".