Bibliographic record
Abstract
본 연구에서는 최근 대학의 사회봉사 기능을 재인식하고 대학교육에 봉사활동을 접목하려는 시도가 확대되는 가운데 Service-Learning을 유아교사양성과정에 적용하는 방안을 탐색하였다. Service-Learning의 선행이론 분석을 통해 나타난 교수학습방법적 특성과 유아교사양성과정의 핵심인 실천적 지식 함양을 근거로, 봉사와 학습을 동시에 추구하며 학습자-교수자-지역사회의 균형 있는 수혜가 될 수 있도록 하는 단계별 절차를 고안하였다. 또한 이 절차를 유아사회교육 교과목에 적용하여 대학 내 학습과 지역사회 봉사활동을 병행함으로써 Service-Learning이 예비유아교사의 교수능력을 증진하는데 적절한 방식이 될 수 있도록 하는 하나의 방안을 제시하였다.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".