Abstract

Purpose: This study aimed to analyze the predictive factors influencing the career decision-making
 of first-year students in general high schools in South Korea, and to propose educational approaches
 and support measures based on this analysis.
 Methods: Using data from the Korean Children and Youth Panel Survey (KCYPS) 2018, we applied
 the Random Forest algorithm to analyze predictive factors in students' career decision-making. During
 this process, seventy-six variables were included to identify key predictors.
 Results: The analysis revealed that factors such as career confidence, career curiosity, frequency of
 youth activities, study time, and club activity frequency are significant predictors of students' career
 decisions. These factors have a complex impact on the career decision-making process, closely related
 to the students' social and academic environments.
 Conclusion: This research emphasizes the importance of educational interventions that enhance
 students' confidence and curiosity in the career decision-making process. It also suggests the need
 for a multidisciplinary approach to encourage and support students' participation in various activities.

Full Text
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