A Study on Students’ Affective Factors in Junior High School English Teaching
Bibliographic record
Abstract
Affect is considered as aspects of emotion, feeling, mood or attitude which condition behaviors in second language acquisition. Positive affect is good for studying while negative affect will inevitably hinder learners’ learning process. As we know, students in junior high school are special groups as they are experiencing great changes both in physiology and psychology. Their affect can be easily influenced by external and internal factors. Therefore, it is of vital importance to pay close attention to students’ affective factors in English learning process, particularly to the negative ones. Based on the results of the previous research about affects in second language acquisition, the study finds that junior high school students have the following negative affective factors such as boredom, anxiety, hopelessness, inhibition and low self-confidence in their English learning. Then some suggestions for cultivating and improving students’ affect are put forward in the hope of improving junior high school English teaching and 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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".