The Role of Play and Objects in Children’s Deep-Level Learning in Early Childhood Education
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 research investigates the significance of the physical environment in early childhood education and care (ECEC) institutions as a facilitator of deep-level learning. Building upon Laevers’ concept of deep-level learning, this study explores the interplay between objects in ECEC settings, children’s play, and their deep-level learning. The primary objective is to examine the potential mediating role of play in the relationship between objects and deep-level learning. The research methodology involves the analysis of a sample consisting of 928 two-minute video observations collected from eight ECEC institutions in Norway. The results demonstrate a positive association between children’s engagement in play, their utilization of objects, and deep-level learning. The findings suggest that constructive and symbolic play partly mediate the positive relationship between deep-level learning and object utilization. These outcomes highlight the pivotal role of play in early childhood education and emphasize how elements within the physical environment can effectively support children’s learning.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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