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Do Key Predictors of Academic Resilience Differ Across Cultures? Evidence From Korea and the US.

This study aimed to compare key predictors of academic resilience in the distinctive socio-cultural contexts of South Korea and the United States, employing a machine-learning-based random forest technique. Using PISA 2018 data, we focused on students in the bottom 25% of family socioeconomic status...

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Publicado en:Youth & Society Vol. 56; no. 7; pp. 1237 - 1263
Autores principales: Choi, Yeseul, Sung, JeeHun
Formato: Artículo
Publicado: Sage Publications Inc. Oct2024
Materias:
Socioeconomic status
Self-perception
Self-efficacy in students
Random forest algorithms
Machine learning
Acceso en línea:Ver este registro en EBSCOhost