Motivators for Demotivators Affecting EFL Learners in Chinese Secondary Vocational School
Bibliographic record
Abstract
The study investigated secondary vocational school students’ motivational level to learn English and the demotivating factors perceived by them in the current school stage. To this end, questionnaires were administered to students in a national key secondary vocational school located in Shanxi, China and 62 valid questionnaires were collected. The results revealed that 75.8% of respondents had already been demotivated in English learning before the secondary vocational school, and the main causes were their dislike of teachers, too much homework and the lack of learning methods. However, there were not so many respondents thinking that they had been further demotivated in learning English in the current vocational school. Concerning the demotivators perceived by participants, the experience of failure was the most dominant whereas the teacher-related factors were the least significant, and the internal factors were more influential than the external ones in impairing participants’ learning enthusiasm. New demotivating factors like the perceived increasing roles of Chinese and failing to see the practical significance of English in future jobs and life were also found in this study. Based on the findings of demotivation peculiar to students at secondary vocational schools, the specific motivational strategies were also suggested.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".