빅데이터를 활용한 국내 미래교육에 대한 사회적 인식 분석

Abstract

Objectives This study was conducted to identify the perception of future education and to suggest directions for future education.
 Methods For this purpose, online big data was collected based on the keywords of ‘future education’. The analysis of emotional was perforrmed using the collected data. and the data were analyzed by refining/morphology analysis, then text mining, matrix analysis, discourse analysis. The big data collection of future education be done through portals SNS. it was done by Naver, Daum, Google, YouTube and Twitter. The period was 21,617 data from March 2020 to March 2022 to investigate the public's perception of future education after COVID-19 pandemic.
 Results As a result of this study, the words with high frequency of future education based on the order of education, future, future education, creativity, school, student, convergence, operation, research, and curriculum. As a result of checking the frequency of simultaneous appearance, future-education, creativity-fusion, talent-training, convergence-education, convergence-talent, program-development, education-program, education-class, future-talent, research-purpose have been arranged. The words with high frequency in the document were education, future education, future, creativity, students, schools, research, convergence, operation, and curriculum. The words with high connection center with their future education were education, future education, school, future, student, creativity, operation, progress, convergence, and curriculum.
 Conclusions The recognition of future education through big data analysis should be mainly conducted in schools to train students with creative and convergent talents, and it should be studied for the purpose of program development and education program.