A Case Study on the Investigation on Working Practice Teaching of Normal College Students
Bibliographic record
Abstract
The working practice teaching projects are an effective way of training the professional teachers, and are helpful to promote teachers professional development. The working practice teaching projects started in Anqing Normal University in 2008. Up to now，the college has selected 3,781 students to participate in the working practice teaching projects. Using sampling method, by email or face-to-face questionnaire survey method, 500 students were selected to investigate the situation on participating in teaching in elementary and middle schools. The findings show that (a) students participating in the working practice teaching gradually set up the education belief and has made sustainable development; (b) teaching attitude and action of university teachers have a great influence on the students’ teaching attitude and action; (c) these students has deepened the understanding of profession and experience about teacher，and raised their teaching competencies; (d) how do students participating in the working practice teaching teach proficiency by some teaching method，teaching of emergency treatment, and so on？
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".