A Study on the Relationship between Foreign Language Enjoyment and English Learning Performance in Chinese Context: the Mediating Role of L2 Grit
Bibliographic record
Abstract
Foreign language learning is a complex process that can be influenced by internal, external and other variables. However, studies that focus on language learners' emotions such as foreign language enjoyment and learners' personality such as L2 grit are still in its infancy, especially in Chinese context. With the development of positive psychology, it is crucial to explore the relationship between positive emotions and learners' foreign language learning performance. Therefore, the study attempts to investigate the relationship between foreign language enjoyment and learners' English learning performance in Chinese context. The data were collected from 766 senior high school students in China. Findings of this study revealed that there existed positive and significant correlations among foreign language enjoyment, English learning performance and L2 grit but at different levels. Besides, L2 grit played mediating role between foreign language enjoyment and English learning performance. At last, implications and suggestions for future research are also discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".