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대학생의 중도탈락의도에 미치는 요인에 관한 연구: 토픽모델링과 구조방정식모형을 중심으로
A Study on Factors Affecting College Dropout Intention: An Hybrid Approach of Topic Modeling and Structural Equation Modeling 원문보기

한국산업정보학회논문지 = Journal of the Korea Industrial Information Systems Research, v.27 no.4, 2022년, pp.81 - 92  

김재경 (한남대학교 경영정보학과)

초록
AI-Helper 아이콘AI-Helper

본 연구는 재학생들의 타대학 입학 및 편입으로 인한 중도탈락에 대한 원인을 찾기 위해, 먼저, 자퇴신청원에 기재된 면담 내용을 딥러닝 토픽모델링인 BERTopic을 활용하여 분석하여 주요 토픽으로 부모의 영향, 학업 부진, 전공 불만족을 도출하였다. 그 후, 해당 토픽을 중도탈락에 영향을 미치는 요인으로 구성한 구조방정식 모형을 설계한 후 199명의 재학생을 대상으로 설문조사를 통한 실증적 연구를 수행하였다. 분석 결과, 타의에 의한 대학 선택은 학업적응과 전공만족에 부정적 영향을 끼치며, 학업적응과 전공만족은 중도탈락의도에 부정적 영향을 끼치는 것으로 나타났다. 또한, 타의에 의한 대학 선택은 학업적응과 전공만족을 통해 중도탈락의도에 간접으로 정적 영향을 끼치는 것으로 나타났다. 이는 중토탈락의도를 낮추기 위해서는 부모의 영향으로 대학을 선택하는 대학생들을 입학 초기에 파악하고 이들의 전공만족이나 학업적응을 높이기 위한 프로그램을 제공하는 것이 필요함을 시사한다.

Abstract AI-Helper 아이콘AI-Helper

In this study, interview scripts written in the dropout application was analyzed using BERTopic,, and parental influence, academic adaptation, university dissatisfaction was derived as major topics. An empirical study was conducted through a survey of 199 current students with researchmodel composed...

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표/그림 (8)

참고문헌 (40)

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