PARENTAL INVOLVEMENT AND PRESCHOOLERS' COGNITIVE DEVELOPMENT IN PUBLIC NURSERY SCHOOLS IN OGBA EGBEMA/NDONI LOCAL GOVERNMENT AREA OF RIVERS STATE
Bibliographic record
Abstract
Parental involvement cannot be handled with a wave of the hand when it comes to the preschoolers' cognitive development. The study investigated the relationship between parental involvement and preschoolers' cognitive development. The study adopted correlational design and two research questions with corresponding hypotheses, tested at.05. Parental Involvement and Preschoolers’ Cognitive Development Checklist (PIPCDC) was constructed by the researcher, validated with a reliability index of 0.58 and used for the study.There were 3,489 nursery 3 pupils and 350 were used as sample size from the population through simple random sampling technique. Pearson Product Moment Correlation (PPMC) was used to analyze the research questions and testing of the null hypotheses. The results indicated that parent-child interaction and educational activities of the parents were significantly related to the preschoolers’ cognitive development. Some recommendations were made among which included that parents, caregivers, government and curriculum planners should ensure technology activities as specified in the study in addition to the cognitive development elucidated in the National Policy on Education while teaching Nature Studies in Early Childhood Care Development and Education (ECCDE) centres. This will help the Preschoolers to use the already developed cognitive skills and the lessons will be based on their interests. Suggestions were made for further research.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".