공학교육 정책제안을 위한 빅데이터 분석 시스템 사례 분석 연구

• 영문명: A Case Study on Big Data Analysis Systems for Policy Proposals of Engineering Education
• 발행기관: 한국공학교육학회
• 저자명: 김재희(im, JaeHee) 유미나(Yoo, Mina)
• 간행물 정보: 『공학교육연구』제22권 제5호, 37~48쪽, 전체 12쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2019.09.30

영문 초록

The government has tried to develop a platform for systematically collecting and managing engineering education data for policy proposals. However, there have been few cases of big data analysis platform for policy proposals in engineering education, and it is difficult to determine the major function of the platform, the purpose of using big data, and the method of data collection. This study aims to collect the cases of big data analysis systems for the development of a big data system for educational policy proposals, and to conduct a study to analyze cases using the analysis frame of key elements to consider in developing a big data analysis platform. In order to analyze the case of big data system for engineering education policy proposals, 24 systems collecting and managing big data were selected. The analysis framework was developed based on literature reviews and the results of the case analysis were presented. The results of this study are expected to provide from macro-level such as what functions the platform should perform in developing a big data system and how to collect data, what analysis techniques should be adopted, and how to visualize the data analysis results.

목차

I. 서 론

II. 이론적 배경

III. 연구 대상 및 방법

IV. 연구결과

V. 결 론

키워드

Big data system Case study Analysis frameworks Policy proposals Engineering education