Do Girls Have All the Fun? Anxiety and Enjoyment in the Foreign Language Classroom
Bibliographic record
Abstract
The present study focuses on gender differences in Foreign Language Enjoyment (FLE) and Foreign Language Classroom Anxiety (FLCA) among 1746 FL learners (1287 females, 449 males) from around the world. We used 21 items Likert scale ratings reflecting various aspects of FLE (AUTHORS), and 8 items extracted from the FLCAS (Horwitz et al., 1986). An open question on FLE also provided us with narrative data. Previous research on the database, relying on an average measure of FLE and FLCA (AUTHORS) revealed significant gender differences. The present study looks at gender differences in FLE and FLCA at item level.Independent t-tests revealed that female participants reported having significantly more fun in the FL class where they felt that they were learning interesting things, and they were prouder than male peers of their FL performance. However, female participants also experienced significantly more (mild) FLCA: they worried significantly more than male peers about their mistakes and were less confident in using the FL. Our female participants thus reported experiencing both more positive and more mild negative emotions in the FL classroom. We argue that this heightened emotionality benefits the acquisition and use of the FL.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".