A Questionnaire-based Study on Chinese University Students’ Demotivation to Learn English
Bibliographic record
Abstract
This paper, adopting questionnaire survey method, investigated 367 non-key local university English as a Foreign Language (EFL) students’ demotivation to learn English. The collected data revealed that there were two main categories of demotivators: internal factors (lack of intrinsic interest, experience of failure and lack of confidence, and unclear study goal) and external factors (teaching material, teaching process and teaching content, significant others, teachers’ teaching competence and attitude of teachers, the relationship between teachers and students, teaching facilities and teaching environment). External factors are found to be more influential than internal ones in the participants’ demotivation to learn English. The current study adds to the literature in that unclear study goal is an important demotivator in Chinese local non-key university EFL students’ English study. The findings of this study will enrich the research of demotivation to learn English, and to provide an empirical basis for the needs analysis in English class and curriculum reform, as well as to provide reference for implementing central and local education policies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".