The two faces of Janus? Anxiety and enjoyment in the foreign language classroom
Bibliographic record
Abstract
The present study investigates Foreign Language Enjoyment (FLE) and Foreign Language Classroom Anxiety (FLCA) in the classroom. Participants were 1746 current FL learners from around the world. We used a measure of FLE, based on Likert scale ratings of 21 items (Dewaele & MacIntyre, 2014), and a measure of FLCA based on 8 items extracted from the FLCAS (Horwitz, Horwitz, & Cope, 1986). Statistical analyses revealed that levels of FLE were significantly higher than those of FLCA. FLE and FLCA were linked to a number of independent variables: participants’ perception of their relative level of proficiency within the FL classroom, number of languages known, education level, number of FLs under study, age group and general level of the FL (ranging from lower-intermediate to advanced). Female participants reported both more FLE and more FLCA. Cultural background of participants also had a significant effect on their scores. Participants’ views on episodes of enjoyment in the FL class revealed the importance of teachers’ professional and emotional skills and of a supportive peer group. Many participants mentioned the moment at which they realised that their long effort in mastering an aspect of the FL paid off.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".