Theater Education and Child Development: An Exploratory Study
Bibliographic record
Abstract
Two groups of thirty kindergarten pupils from the Child Study Center (CSC) of Miriam College who appeared in the annual musical play “Ang Hiwaga ng Carousel”, which was performed in March 2008, were chosen to participate in this study. There were thirty major and thirty minor role players who participated. The first and fourth quarter assessments of both groups for the five traits (1) social interaction (2) cooperation, (3) following directions and attending to various tasks, (4) language arts and (5) self expression. For quantitative analysis, five two-way ANOVAs revealed significant differences between quarter grades (first and fourth) for four of the five traits and role for social interaction. In summary, the pupils significantly improved their scores from first quarter to the fourth quarter along all the indicators of learning except for self expression where they were already doing so well. For self expression the first quarter scores were already at a high of 4.4 to begin with . For the qualitative data, various CSC administrators, teacher-directors, and parents, as well as experts in Children’s Theater, were interviewed and their narratives were examined to discover themes. The results of the qualitative data analysis consistently indicated several themes-increased self esteem and confidence, improved memory, cooperation, and responsibility, better ability to express ideas.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".