구조적 토픽모델링을 활용한 대학 중도탈락 연구동향 분석

Abstract

Objectives This study aimed to identify various issues and problems related to university dropout by analyzing research trends related to university dropout using structural topic modeling, and to identify various factors that affect university dropout.
 Methods A total of 86 papers related to college dropout published from 2003 to 2022 were analyzed for research purposes using the R program and R Studio. The DTM generation and topic modeling analysis, which represent the frequency of all word occurrences in a matrix, were analyzed and visualized, and the final analysis was performed using structural topic modeling.
 Results As a result of the study, the keywords associated with college dropout were academic achievement, stress, physical condition, adaptability, and career indecision. In addition, five themes were identified in the structural topic modeling: “students' psychological factors and academic achievement,” “social adjustment and integration of college life,” “career indecision and learning motivation,” “learning environment factors and sense of belonging,” and “school environment factors and support services.
 Conclusions Over the past 18 years, there has been a steady increase in the number of studies on personal characteristics, college environmental factors, and support services related to college dropout. The comprehensive results of research trends related to dropout shown in this study will provide implications for the preparation of support measures and follow-up studies that can prevent university dropouts.