Bibliographic record
Abstract
Many countries in the world have regarded the cultivation of learner autonomy as one of the important goals of language teaching. During the past fifty years, researchers and scholars have explored the connotations of learner autonomy, and carried out some empirical researches in different contexts. There are more and more researches on learner autonomy in language teaching and learning, the research scope and content are constantly broadened and deepened, and the research methods are more diversified. Based on the review of the reading circle method and the discussion of a working definition for learner autonomy, the present study explored the application of the reading circle method in facilitating the cultivation of learner autonomy in the English for Academic Purposes course at a comprehensive university in China. The results showed that the reading circle could help to improve learner’s attitude and interest in English language learning. It also indicated that learner’s learning capabilities and strategies were improved. This study adopts a novel approach to foster the development of learner autonomy, and sheds light on the empirical research practice.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".