Exploring Dispositions for Global Competence as Determinants of Global Competence Using Random Forest Model: A Comparative Analysis of Results from PISA 2018

This study investigated the disposition variables that influence global competence within the framework of the PISA 2018 Global Competence Assessment. It aims identify key factors based on their ranking of importance, compare these factors across different countries, and draw educational implications to enhance global competence in Korea. To achieve these goals, we selected five of the 27 countries participating in the PISA 2018 Global Competence Assessment. This study analyzed ten plausible values of global competence and disposition factors using a machine learning technique, specifically the random forest model. Consequently, the ranking of these ten key variables was assessed by country, and the characteristics of these variables as well as the disparities between countries were examined. Additionally, this study delves into the implications of global-citizenship education in Korea.