빅데이터 기반의 창의교육 성과요인에 따른 아젠다 예측 분석
Agenda Predictive Analysis Based on Big Data-based Educational Outcomes of Creative Education
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초록
본 연구는 그 동안 꾸준히 진행되어온 한국형 창의교육 정책의 성과에 따른 미래지향적 교육정책 아젠다 도출을 위해 그동안 축적해온 교육정책 관련 빅데이터를 활용하여 오피니언마이닝 분석을 수행하였다. 분석방법으로 창의교육에 관련된 비정형 데이터를 수집하고 연관분석 기반의 상위 교육정책 키워드를 추출하였으며, 추출된 키워드를 통하여 앞으로 미래 창의교육의 발전과 성과요인에 높은 비중을 차지할 수 있는 교육 아젠다를 도출하였으며, 향후 교육 분야에서의 오피니언마이닝 분석 활용 기법과 감성사전의 정확도를 높이기 위한 방법론을 제시하였다. 본 연구 성과는 중·장기적 국내외 교육정책에 관한 기준점을 마련하는데 필요한 하나의 척도가 되리라 예상한다.
Abstract
In this research, in order to derive a future-oriented educational policy agenda based on the result of the Korean-style window education policy steadily progressing within this research, we will use opinion policy mining analysis by using big data on educational policy accumulated so far went. Collect unstructured data related to window education in analytical methods, extract high-level education policy keywords based on related analysis, and forward the future window education development and outcome factors forward through extracted keywords and presented a methodology for improving the precision of opinion beforehand using opinion mining analysis methods in the field of future education. We expect that the results of this research will be one measure necessary for establishing reference points on educational policies in the middle and long-term domestic and overseas.
참고문헌 (7)
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