Relationship between the Comprehension of Physical Education Teaching and Good or not Good at Exercises and Sports
Bibliographic record
Abstract
平成29 年7 月に教職課程コアカリキュラムが示され、各教科の指導法において教員養成課程の学生に最低限必要な到達目標が明示された。小学校教員養成課程の学生は、10 教科の教科指導法を修得しなければならない。特に、実技科目である体育科においては、体育ができてもできなくても種目技術などの示範や指導をしなくてはならない。そこで、体育科教育法における理解度の違いは、運動やスポーツの得意不得意で違いがあるのか好き嫌いにおいても違いがあるのか小学校教員養成課程の学生を対象に調査を行った。その結果、学習指導要領理解や指導法の理解において運動・スポーツの得意不得意及び好き嫌いによる差が認められた。
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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 | 0.005 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".