랜덤 포레스트를 활용한 글로벌 역량의 결정 요인으로서 글로벌 역량 관련 성향 요인 탐색 - PISA 2018의 5개국 결과 비교를 중심으로 -

Abstract

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.