Transformation of Early Childhood Education: A Descriptive Quantitative Analysis of Critical Thinking Skill Development in Banten Province, Indonesia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explores the perceptions of PAUD teachers in Lebak, Banten, about critical thinking skills in learning for children aged 4-6 years, learning strategies, and challenges faced. A descriptive quantitative approach was used with an open-ended questionnaire filled out by 131 teachers. Data were analyzed using descriptive statistics with presentation in the form of visual graphs. The results showed that teachers' understanding of critical thinking indicators varied, with 39.6% understanding critical thinking more as the ability to analyze, 14.4% as interpretation, 12.6% as evaluation, 8.2% as inference, 5.4% as explanation, and 4.5% as self-regulation. Teachers emphasized analysis and interpretation through interactive methods, while evaluation and inference were less applied. The novelty of this study lies in the mapping of teachers' understanding based on critical thinking indicators and their impact on learning strategies. Recommendations for training based on direct practice and reflection to improve the implementation of critical thinking evenly are contributions to the research results as well as being the basis for improving policies and developing teacher training in areas with low HDI.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it