Assessment of school readiness and the importance of executive functions for learning
Bibliographic record
Abstract
OBJECTIVE: Considering the importance of the beginning of the academic trajectory for children to reach their full development, this work aims to evaluate the school readiness of preschool-age children and identify which factors influence these results, in order to contribute to the proposition of strategies that allow improving the teaching-learning process and child development. METHODS: This is a cross-sectional, descriptive and analytical study with 443 preschool children belonging to the West Region Cohort (ROC Cohort), from the public school system of the city of São Paulo. School readiness was assessed by the International Development and Early Learning Assessment (IDELA) tool. Non-parametric techniques were used for the correlation analysis between IDELA scores and sociodemographic and socioeconomic conditions: Spearman's parametric correlation, Mann-Whitney and Kruskal-Wallis tests. RESULTS: The children's mean age was 69 months (standard deviation - SD=2.8; ranging from 55 to 72 months) and most of them came from families with low socioeconomic level. Most children showed adequate readiness in the overall score (65%) and in most domains, except for emergent literacy, in which most (56.9%) were classified as "emergent". The highest percentage of insufficiency was identified in executive functions (4.1%), which showed a correlation only with the caregiver's education. CONCLUSIONS: Children had adequate school readiness scores, except for emergent literacy, but the insufficiency in executive functions may compromise the future schooling of these children. Thus, pedagogical proposals should consider these aspects for learning and pediatricians need to reinforce the habit of reading and playing games to stimulate child development.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".