Cross-cultural research on early childhood teacher education curriculum design
Bibliographic record
Abstract
This study was an attempt to compare the distinctive features in current Early Childhood Teacher Education (ECTE) curricula conducted at two universities, one in China, and one in the US. Document reviews, interviews, and questionnaires shed light on the two different approaches to curriculum design. Two program directors and 25 participants, viewed as “cultural outsiders,” were recruited. Results showed that the US model could be viewed as “deep” learning while the Chinese model was seen as “broad” learning. The US ECTE curriculum focused on a robust connection between general education and professional courses, strong standards, content-centered professional courses, multiple cultures, and more credit for field experience. The ECTE curriculum at the Chinese university provided a wide variety of general education and professional courses, arts-related professional courses, national cultures, and more modalities for field experience. This study also examined the impact of culture and society on the ECTE curriculum design.
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How this classification was reachedexpand
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".