Parents’ Perception: Early Childhood Social Behaviour During Physical Distancing in the Covid-19 Pandemic
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Notice bibliographique
Résumé
During physical distancing, children do not meet their peers to play or talk together. Peer relationships have a crucial influence on all child development, especially for social skills or behaviour during early childhood. This study aims to determine changes in children's social behaviour during physical distancing during the Covid-19 pandemic. This research method is a descriptive quantitative study designed with the percentage value was used as a score for measuring the results of parental observations of children concerning the child's social behaviour instrument. Quota sampling (150 parents) was used to reach participants from various cities in Indonesia to see cultural differences. Data on children's social behaviour was obtained using the Preschool and Kindergarten Behaviour Scale (PKBS) tests. The data were then analysed using descriptive statistics. The results show that there are changes in children's social behaviour during physical distancing. Children who are less independent (58.9%) are the biggest decline in social behaviour reported by parents, while the one who changes the least is cleaning up the mess that has been made (38.7%). The implication of the results of this study is that parents should continue to pay attention to their children's social behaviour by providing opportunities for children to interact with peers in the house while still paying attention to health protocols. Keywords: Early Childhood, Social Behaviour, Physical Distancing References: Aksoy, P., & Baran, G. (2010). Review of studies aimed at bringing social skills for children in preschool period. Procedia - Social and Behavioural Sciences, 9, 663–669. https://doi.org/10.1016/j.sbspro.2010.12.214 Al-Tammemi, A. B. (2020). The Battle Against COVID-19 in Jordan: An Early Overview of the Jordanian Experience. Frontiers in Public Health, 8(May), 1–6. https://doi.org/10.3389/fpubh.2020.00188 Arkorful, V., & Abaidoo, N. (2015). 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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle