A systematic review and meta‐analysis of approaches to teaching problem‐solving skills in early childhood education and care settings: A focus on science, technology, engineering and mathematics activities
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Notice bibliographique
Résumé
Abstract This systematic review and meta‐analysis synthesised evidence on teaching problem‐solving skills to children in early childhood education and care settings (ECEC) in the domain of science, technology, engineering and mathematics (STEM). Given the foundational nature of early cognitive development and the growing emphasis on STEM competencies, this review addresses a critical gap by evaluating the effectiveness of intervention strategies in ECEC settings. A total of 13,030 abstracts were screened across PsycInfo, ERIC, Education Source and Child Development and Adolescent Studies. Nineteen studies met inclusion criteria for the systematic review, and 10 of these (comprising 1355 children) were eligible for meta‐analysis. Problem‐solving skills focused interventions in STEM were associated with increased problem‐solving skills for children attending ECEC settings. Specifically, multivariate meta‐analyses for the pooled effects revealed moderately strong effects, r = 0.40. Studies employing an experimental design with random group assignment and author‐created outcome measures showed relatively moderate effect sizes compared to other studies, all falling within a moderately strong range depending on outcome measure types. Analysis of the role of potential moderators and implications for practice were also discussed. This review underscores the importance of intentionally integrating STEM problem‐solving opportunities into ECEC settings. It offers actionable insights for educators, researchers and policy makers aiming to support early learning by equipping young children with foundational skills critical for future academic and workforce success. Implications include the need for curriculum development, professional learning supports, and further research on interventions for infants, toddlers and children facing systemic barriers. Context and implications Rationale for this study: Problem‐solving is foundational to cognitive and academic development, yet little is known about how to best support its development in early STEM learning contexts. Why the new findings matter: This review identifies effective interventions, revealing that structured curricula and addressing equity gaps in STEM access are important features of effective STEM instruction. Implications for practitioners, policy makers and researchers: Practitioners should integrate flexible, evidence‐based strategies into daily routines. Policy makers should fund scalable, inclusive STEM interventions beginning in early childhood. Researchers must prioritise process‐based assessments, longitudinal tracking, and studies involving infants, toddlers, and at‐risk groups to inform equitable practice and policy.
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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 | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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