How Mathematical Teaching Theory Emphasizes the Theme of Cultivating Mathematical Teaching Ability
Bibliographic record
Abstract
The revolution of mathematical teaching theory must emphasize the theme of cultivating the students' mathematical teaching ability. It must take the cause and the structure of mathematical class teaching ability, essence as the main clue. We must actively utilize the achievement from modern mathematical quality education research, and carry out the mode of stereoscopic systematical cultivation.In teaching theory, we must pay attention to the education of mathematical viewpoint, mathematical teaching viewpoint, and elicitation theory of teaching. In teaching method, we must make the students master the basical and modern mathematical teaching method. In teaching practise, we must combine the model class teaching with teaching practise, cultivating the student's ability of changing the academic form of mathematics into educational form, the ability of using the method of mathematical thought to teach, the oral expressional ability in class teaching, the ability of organizing teaching and the ability of mathematical teaching research and scientific research,etc.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".