공학교육 빅 데이터 분석 도구 개발 연구

• 영문명: Research on the Development of Big Data Analysis Tools for Engineering Education
• 발행기관: 한국공학교육학회
• 저자명: 김윤영 김재희
• 간행물 정보: 『공학교육연구』제26권 제4호, 22~35쪽, 전체 14쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2023.07.31

영문 초록

As information and communication technology has developed remarkably, it has become possible to analyze various types of large-volume data generated at a speed close to real time, and based on this, reliable value creation has become possible. Such big data analysis is becoming an important means of supporting decision-making based on scientific figures. The purpose of this study is to develop a big data analysis tool that can analyze large amounts of data generated through engineering education. The tasks of this study are as follows. First, a database is designed to store the information of entries in the National Creative Capstone Design Contest. Second, the pre-processing process is checked for analysis with big data analysis tools. Finally, analyze the data using the developed big data analysis tool. In this study, 1,784 works submitted to the National Creative Comprehensive Design Contest from 2014 to 2019 were analyzed. As a result of selecting the top 10 words through topic analysis, ‘robot’ ranked first from 2014 to 2019, and energy, drones, ultrasound, solar energy, and IoT appeared with high frequency. This result seems to reflect the current core topics and technology trends of the 4th Industrial Revolution. In addition, it seems that due to the nature of the Capstone Design Contest, students majoring in electrical/electronic, computer/information and communication engineering, mechanical engineering, and chemical/new materials engineering who can submit complete products for problem solving were selected. The significance of this study is that the results of this study can be used in the field of engineering education as basic data for the development of educational contents and teaching methods that reflect industry and technology trends. Furthermore, it is expected that the results of big data analysis related to engineering education can be used as a means of preparing preemptive countermeasures in establishing education policies that reflect social changes.

목차

Ⅰ. 서 론

Ⅱ. 이론적 배경

Ⅲ. 공학교육 빅 데이터 분석 도구 설계

Ⅳ. 공학교육 빅 데이터 분석 도구 개발

Ⅴ. 결론 및 논의

참고문헌

키워드

Engineering education Capstone design Big data analysis tool