Non-English Major Students’ Perception of Factors Influencing English Proficiency in China
Bibliographic record
Abstract
This study aims at investigating Non-English major students’ perception of factors that influencing English proficiency in China. The research was conducted by using a non-experimental quantitative research design by a questionnaire survey. A total 300 Non-English Major students from second year from different duration of learning English in Henan Polytechnic University was collected to complete this survey. The research findings revealed the learning strategies of Non-English major students in Henan Polytechnic University has most significantly affect on English proficiency among four potential factors. The hypothesis testing results indicated that the perception of students who began learning English from primary school were statistically significantly higher than those who began learning English from middle school with respect to factors influencing English proficiency. The findings recommended that the government should provide more supports to English language learning in primary school, the English teacher should pay attention to male students’ English learning and help students improve their learning strategy in English learning.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".