토픽 모델링 기반의 사이버대학교 학습자 중도탈락 개선을 위한 교육요구 탐색

Exploring Educational Needs to Improve the Dropout of Cyber Universities’ Learners Based on Topic Modeling

이 연구의 목적은 사이버대학교 학습자의 교육요구를 탐색하여 교육과정 개선 및 개발을 위한 기초자료로 확보하고, 궁극적으로 중도탈락 개선에 기여하는 것이다. 이를 위하여, H 사이버대학교에 재학 중인 신·편입생들의 학업계획서 4,880건이 분석되었다. 4,880건의 학업계획서는 계열별(공학계열, 인문사회계열, 예술계열) 및 성별(남, 여)로 구분되어 ① 핵심 단어의 빈도분석, ② LDA(Latent Dirichlet Allocation) 기반 토픽 모델링의 2단계에 걸쳐 분석되었다. 분석결과는 다음과 같다. 첫째, 빈도분석 결과, 가장 많이 언급된 키워드는‘지식’, ‘직무’, ‘실무’, ‘전문성’, ‘졸업’, ‘자격증’, ‘학위취득’ 등 경력개발과 관련된 내용이었다. 둘째, 토픽 모델링 결과, 공학계열의 남녀학생과 인문계열 남학생의 분석 결과에서는‘전공 분야의 직무 역량 향상’, 인문계열 여학생은 ‘전공 분야 기초 학습’, 예술계열 남녀학생은‘전공 분야 심화학습’이 가장 중요한 토픽으로 도출되었다. 마지막으로, 이상과 같이 본 연구를 통해서 확인된 학습자 교육요구 분석결과가 주는 시사점이 논의되었다.

The purpose of the present study is to explore the educational needs of cyber university learners, in order to obtain the basic data for curriculum improvement or development, which contributes to the improvement of learners’ dropout rates in the cyber university. To do this, 4,880 study plans of H cyber university s 1st year and transfer students were analyzed. 4,880 study plans were analyzed over two stages by faculties (Engineering, Humanities & Social Sciences, and Arts) and gender (male, female): ① frequency analysis of keywords, ② LDA-based topic modeling. The results are as follows. First, as a result of frequency analysis, the most frequently mentioned keywords were those related to career development such as ‘knowledge’, ‘job’, ‘practice’, ‘professionalism’, ‘graduation’, ‘certificate’, and ‘acquisition of degree’. Second, as a result of topic modeling, in the case of male and female students from the Engineering department and male students from the Humanities & Social Sciences department, ‘improving job competency in the major field’ was derived as the most important topic. Also, while female students from Humanities & Social Sciences department, showed ‘basic learning in their major’ as the most important topic, male and female students from the Arts department showed ‘intensive learning in their major’. Finally, based on these results of the learner s’ educational needs analysis confirmed through this study, the implications were discussed.