텍스트 마이닝과 의미 연결망 분석을 통한 공학과 아두이노에 대한 사회적 인식

Abstract

The purpose of this study is to analyze the social perception of engineering and Arduino using big data analysis method. For the purpose, data from January 2011 to May 2021 were collected using the Textom website as a keyword searched for ‘engineering+Arduino’ in blogs, cafes, and news channels of NAVER and DAUM website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by the Textom website, Ucinet 6, and Netdraw programs. As a result of text mining analysis, it was confirmed that ‘using’, ‘education’, ‘coding’, ‘project’, and ‘robot’ were the major keywords. As a result of semantic network analysis, four clusters could be identified: ‘using Arduino’, ‘future convergence education’, ‘STEAM’, and ‘volition’. Through this study, it was possible to identify various meaningful social perceptions of the general public in relation to engineering and Arduino on the internet. The results of this study will be used as useful data not only for instructors and researchers who research the fields related to the combination of the two keywords