How Intense and Authentic Communication in Foreign Language Classes Has a Positive Effect on Learner Emotions
Bibliographic record
Abstract
This cross-sectional mixed methods study investigates how intense and authentic communication shapes learners’ enjoyment (FLE), anxiety (FLCA), and boredom (FLCB) in class. Participants were 181 beginning English foreign language learners aged 11 in three secondary schools in France. Statistical analyses revealed that pupils in classes with a special focus on intense and authentic communication experienced significantly more FLE and less FLCA and FLCB than their peers in standard classes. Structural equation modelling revealed that intense and authentic communication had the strongest (positive) effect on FLE, followed by negative effects on FLCB and FLCA. FLE was found to be negatively correlated with FLCA and FLCB, while FLCA and FLCB were positively correlated. An axiological analysis of the qualitative data showed that pupils in intense, authentic communication classes reported more FLE, less FLCB, and equal FLCA compared with peers in the standard teaching classes. Pedagogical implications are presented.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 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".