빅데이터 기법을 활용한 국내 ‘중국어교육’에 대한 사회 인식 연구 (A Study on Social Cognitions of ‘Chinese Education’ in Korea Using Big Data Analysis)

서지정보

· 발행기관 : 중국어문학연구회
· 수록지 정보 : 중국어문학논집 / 116호 / 83 ~ 112페이지
· 저자명 : 최현미

초록

Currently, Korea's Chinese education academia need to make rapid adjustment efforts to switch to a Chinese language education system that trains suitable talent in the era of the fourth industrial revolution demanded by the future society. However, the most important task to precede before attempting these changes and innovations will be to first accurately analyze the needs of the era associated with Chinese language and the current social cognitions and trends of each educational element in our country, and then set the direction and specific methods of change and innovation based on the results.
It is the 'big data analysis method' that has emerged as the most powerful and scientific method of analysis in solving these social cognitions and social issues.
In this study, we intend to use these big data analysis methods to accurately analyze the current social awareness of Chinese language in our country and set the pre-preparation and direction of future Chinese education.
In order to analyze the concept of our society's cognitions of Chinese education more specifically and systematically using these text mining techniques and social network analysis methods, we will first conduct a big data collection to include all three aspects of education: 'Professor,' 'student' and 'media'. The collection period was set at five years from March 1, 2014 to March 1, 2019, and the data collection channels were included in the collection data from the headquarters of the country's largest portal sites, ‘NAVER’ and ‘DAUM’, as well as the two-way social media channels, ‘YOUTUBE’ and ‘FACEBOOK’. The collection method set "Chinese" as an essential inclusion word within the above collection channel, selected "education" as a word that could represent "professor," "learning" as a word that could represent "student," and "teaching" as a word that could represent "media" to extract all data that contained these words and analyze social networks.
Finally, based on this, we discussed the future direction of Chinese education starting from the perspective of social demand for Chinese education.

영어초록

Currently, Korea's Chinese education academia need to make rapid adjustment efforts to switch to a Chinese language education system that trains suitable talent in the era of the fourth industrial revolution demanded by the future society. However, the most important task to precede before attempting these changes and innovations will be to first accurately analyze the needs of the era associated with Chinese language and the current social cognitions and trends of each educational element in our country, and then set the direction and specific methods of change and innovation based on the results.
It is the 'big data analysis method' that has emerged as the most powerful and scientific method of analysis in solving these social cognitions and social issues.
In this study, we intend to use these big data analysis methods to accurately analyze the current social awareness of Chinese language in our country and set the pre-preparation and direction of future Chinese education.
In order to analyze the concept of our society's cognitions of Chinese education more specifically and systematically using these text mining techniques and social network analysis methods, we will first conduct a big data collection to include all three aspects of education: 'Professor,' 'student' and 'media'. The collection period was set at five years from March 1, 2014 to March 1, 2019, and the data collection channels were included in the collection data from the headquarters of the country's largest portal sites, ‘NAVER’ and ‘DAUM’, as well as the two-way social media channels, ‘YOUTUBE’ and ‘FACEBOOK’. The collection method set "Chinese" as an essential inclusion word within the above collection channel, selected "education" as a word that could represent "professor," "learning" as a word that could represent "student," and "teaching" as a word that could represent "media" to extract all data that contained these words and analyze social networks.
Finally, based on this, we discussed the future direction of Chinese education starting from the perspective of social demand for Chinese education.

참고자료

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