Chinese EFL University Students’ Self-Reported Use of Vocabulary Learning Strategies
Bibliographic record
Abstract
This study conducted the semi-structured interview to investigate the types of vocabulary learning strategies (VLSs) Chinese English major university students employed and the factors for their VLS use. Chinese EFL learners frequently employed determination and cognitive strategies. They mainly used the mechanical strategies and focused on English words’ meanings based on Chinese equivalents. They preferred bilingual dictionaries, repetition, and memorization of fixed examples involving news words. They used metacognitive and memory strategies less frequently. This study proposed that Chinese EFL students’ rote memorization of English vocabulary was due to Chinese culture of learning, which values knowledge authority, consolidation and foundation, and also effort and perseverance. Additionally, the less L2 English immersion including L1 Chinese environment and non-communicative EFL environment also leads to Chinese EFL students’ VLSs use. Therefore, it is suggested that students be encouraged to use more memory strategies and metacognitive strategies. English teachers should provide students with strategy instructions and guide students to learn vocabulary through different types of VLSs in classes. After class, students could be encouraged to learn vocabulary incidentally through both intensive and extensive reading. 
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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 | 0.000 |
| 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) | 0.011 | 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".