텍스트 마이닝을 활용한 캡스톤 디자인에 관한 학생 인식 탐색

• 영문명: A Text Mining Analysis on Students' Perceptions about Capstone Design: Case of Industrial & Management Engineering
• 발행기관: 한국공학교육학회
• 저자명: 위광호 김윤진 김문수
• 간행물 정보: 『공학교육연구』제25권 제5호, 85~93쪽, 전체 9쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2022.09.30

영문 초록

Capstone Design, a project-based learning technique, is the most important curriculum that clarifying major knowledge and cultivating the ability to apply through the process of solving problems in the industrial field centered on the student project team. Accordingly, various and extensive studies are being conducted for the successful implementation of capstone design courses. Unlike previous studies, this study aimed to quantitatively analyze the opinions that recorded the experiences and feelings of students who performed capstone design, and used text mining methodologies such as frequency analysis, correlation analysis, topic modeling, and sentiment analysis. As a result of examining the overall opinions of the latter period through frequency analysis and correlation analysis, there was a difference between the languages used by the students in the opinions according to gender and project results. Through topic modeling analysis, ‘topic selection’ and ‘the relationship between team members’ showed an increase in occupancy or high occupancy, and topics such as ‘presentation’, ‘leadership’, and ‘feeling what they felt’ showed a tendency to decreasing occupancy. Lastly, sentiment analysis has found that female students showed more neutral emotions than male students, and the passed group showed more negative emotions than the non-passed group and less neutral emotions. Based on these findings, students’ practical recognition of the curriculum was considered and implications for the improvement of capstone design were presented.

목차

I. 서론

II. 기존 연구

III. 분석 방법

IV. 분석 결과

V. 결론

참고문헌

키워드

Capstone design PBL Text mining Topic modeling Sentiment analysis IME