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The Relation between Teacher-Student Interaction and Executive Function Performance in Children: A Cross-Cultural Meta-Analysis
- Source :
-
Educational Psychologist . 2024 59(3):195-215. - Publication Year :
- 2024
-
Abstract
- Executive function (EF) is critical to students' academic behaviors and well-being. Environmental influences, particularly teacher-student interaction (TSI), play a key role in enhancing EF development. Previous studies have linked TSI quality to children's EF, yet the relationships between subdimensions of TSI--such as closeness, conflict, dependency, emotional support, classroom management, and instructional support--and EF outcomes remain unclear. Moreover, it is unclear whether these relations hold true across different cultural contexts. From an initial pool of 14,915 articles, in this meta-analysis, we considered 84 empirical studies across 18 cultural regions, revealing that TSI subdimensions are consistently related to EF with small-to-medium effect sizes. The analysis also identified statistically significant moderating factors, such as individualism, power distance, EF type, EF instrument, and socioeconomic status. Notably, stronger TSI-EF correlations were found among children from cultures with low-individualism and high-power-distance, as well as among children from higher socioeconomic backgrounds. These patterns were particularly pronounced in studies measuring hot EF through adult-reported data. This comprehensive meta-analysis bridges knowledge gaps in TSI-EF dynamics, and supporting theories, such as attachment theory, social learning theory, and socio-cultural theory within educational settings. Crucially, it provides cross-cultural perspectives showing how cultural and contextual factors may intertwine with TSI-EF interactions.
Details
- Language :
- English
- ISSN :
- 0046-1520 and 1532-6985
- Volume :
- 59
- Issue :
- 3
- Database :
- ERIC
- Journal :
- Educational Psychologist
- Publication Type :
- Academic Journal
- Accession number :
- EJ1431335
- Document Type :
- Journal Articles<br />Information Analyses
- Full Text :
- https://doi.org/10.1080/00461520.2024.2315527