Perception of English Beginning Teachers in Middle Schools About Teaching Competencies
Bibliographic record
Abstract
This paper is trying to make an effort to get a glimpse of English beginning teachers’ perception about teaching competencies. 142 beginning teachers from 70 middle schools in 8 cities in Guangdong Province were taken as the samples. They were asked to rank the items of teaching competencies about the importance and the lack of the competencies. As a result, the top five important teaching competencies are English pedagogical knowledge, Class management skills, Doing teaching reflection, Choosing and utilizing proper teaching methods and techniques and Knowledge of subject matter. Meanwhile, participants believed the five items including Class management skills, Choosing and utilizing proper teaching methods and techniques, Doing teaching reflection, Assessing teaching and learning and Having knowledge of students’ learning situation are what they need most to improve. As for field dimension, English language comprehensive competencies are considered as the most important ones for beginning teachers; when it comes to the shortage, Assessment and evaluation is rated in the first place, which means beginning teachers are most lacking in.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".