ELLs in Higher Education: Learning Strategy Use and Goal Orientation
Bibliographic record
Abstract
This study examined language learning strategy and goal orientation of college-level English Language Learners (ELLs) by using a questionnaire survey. It analyzed the relationship between goal orientation and demographic characteristics and further explored the correlation between learning strategy use and goal orientation. The results of the study show that non-Asian ELLs had a greater performance goal orientation tendency than Asian ELLs. ELLs who had bachelor’s degree had a higher level of mastery goal orientation, as well as performance-approach goals than those who had master’s and doctoral degree. Female ELLs had a higher level of mastery goal orientation than male ELLs. Mastery goal orientation is positively related to all types of strategy, and it possessed the beneficial role in strategy use. Effective instructional methods for ELLs were provided to promote their adopting of mastery goals.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 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 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".