An Investigation into Senior High School Students’ Psychological Quality and Its Relationship with Their English Performance
Bibliographic record
Abstract
The psychological quality is a stable, basic and derivative psychological character, and is a dynamic organization composed of four subs - systems of cognition, personality psychology, mental health and social adaptation. Foreign and domestic scholars have done plenty of researches on the relationship between the academic performance and several main sub-dimensions of psychological quality such as responsibility, methods, initiative and confidence. Based on the previous studies, the study aims to investigate the general situation of senior high school students’ psychological quality; How does English performance correlate with psychological quality and its eleven dimensions; What is the difference between high-proficient English learners and the low-proficient English learners in terms of the psychological quality and its eleven dimensions? The results show that the middle high school students have a relatively positive psychological quality; there is a positive and strong correlation between psychological quality and English performance. As for its eleven dimensions, the results show that there is a positively and strongly correlation between English performance and initiative, self-confidence, responsibility, self-control, methods, independence and persistence. There is a correlation between English performance and monitoring, frustration endurance and independence, which is not as strong as the above dimensions. And there is no correlation between English performance and thinking ability and innovation; there exist significantly difference between high-proficient and low-proficient English students in psychological quality, initiative, self-confidence, responsibility, self-control, methods, persistence, monitoring and frustration endurance. However，no difference has been found between high-proficient and low-proficient English students in independence, thinking ability and innovation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".