빅데이터 분석을 통한 기초학력 관련 시기별 언론 보도 양상과 특징
Changes in Media Coverage and Issues Related to Basic Academic Skills through Big Data Analysis
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참고문헌
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초록
본 연구는 기초학력 보장 정책과 학습 지원 대상 학생에 대한 사회적·정책적 논의의 변화를 분석하기 위해 빅카인즈 (BIGKinds) 뉴스 빅데이터 시스템을 활용하였다. 연구의 목적은 1990년부터 2023년 상반기까지 언론 보도에서 나타난 기초학 력 관련 키워드의 트렌드와 시기별 변화를 파악하고, 이를 통해 정책적 시사점과 향후 발전 방향을 도출하는 데 있다. 연구 방법 으로는 빅카인즈 시스템을 활용해 ‘기초학력’을 키워드로 하여 뉴스 기사를 수집하고, 연도별 키워드 분석과 트렌드 분석을 수 행하였다. 이와 함께 워드클라우드 시각화를 통해 연관어 분석을 실시하고, 주요 정책 시행 시점에서 언론 보도의 변화를 파악 하였다. 연구 결과, 기초학력 보장법 도입 및 관련 정책 발표와 같은 주요 시점에서 언론의 관심이 크게 증가하는 경향을 확인하 였다. 특히 코로나19 팬데믹 이후 기초학력 저하 문제가 부각되면서 관련 뉴스 보도가 다시 증가하였다. 이러한 분석을 통해 기 초학력 정책의 발전 과정과 사회적 관심 변화를 파악함으로써, 향후 정책 개선 방향을 예측할 수있었다.
Abstract
This study used the BIGKinds news big data system to analyze changes in social and policy discussions regarding the basic academic skills support policy and students needing learning support. The purpose was to identify trends and changes over time in keywords related to basic academic skills that appeared in media reports from 1990 to the first half of 2023, and to derive policy im- plications and future development directions. Using the BIGKinds system, news articles focused on keywords like “basic academic skills” were collected, and yearly keyword and trend analyses were performed. Word cloud visualization was also used to analyze related words and identify changes in media reports during major policy implementations. The study confirmed that media interest significantly increased during key periods such as the introduction of the Basic Academic Skills Guarantee Act and related policy announcements. Notably, after the COVID-19 pandemic highlighted declining basic academic skills, related news reports increased again. Through this analysis, the development process of the basic academic skills policy and shifts in social interest were identified, allowing for predictions of future policy improvement directions.
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