Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Exploratory Study on Child Abuse Reduction Plan through the Big Data Convergence Analysis

빅데이터 융합분석을 통한 아동학대 감소방안에 관한 탐색적 연구

  • Received : 2016.09.01
  • Accepted : 2016.10.20
  • Published : 2016.10.28
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Abstract

Recently the problem of child abuses has become a big social issue. According to national statistics data portal, the population under 19 years old is shrinking trend, but the number of child abuse is increasing day ever. However, the number of counseling after calling is a constant level without large fluctuations. Due to the seriousness of the problems, child abuse is even worse despite the research and countermeasures. This study designed a study model on the child abuse based on a preliminary study and suggested plans for reducing child abuse through the big data analytics. When we see a result of test of the hypothesis, abuse actor characteristics, characteristics of children, and employment type were analyzed to have a significant impact on child abuse. Based on such analysis, this research has suggested ways to reduce child abuse, including educational and economic support measures.

최근 인천의 어린이집 사건, 원영이 사건 등 아동학대 문제가 사회적으로 큰 이슈가 되고 있다. 그러나 아동학대 문제는 어제 오늘의 일이 아니며, 국내만의 문제도 아니다. 국가 통계 데이터 포털에 의하면, 19세 이하의 인구는 줄어드는 추세이지만 아동학대 신고건수는 날이 갈수록 증가하고 있다. 그러나 신고 이후의 상담건수는 큰 변동 없이 일정한 수준이다. 아동학대 문제의 심각성으로 인해 관련 연구와 대책에도 불구하고 더 악화되고 있는 것이다. 이에 본 연구는 아동학대에 관한 선행연구를 바탕으로 아동학대에 관한 연구모형을 설계하고 빅데이터 분석을 통해 아동학대 감소방안을 제안하였다. 가설 검정 결과 학대 행위자의 특성, 아동 특성이 아동학대의 영향, 근로형태가 아동학대에 유의미한 영향을 끼친 것으로 분석되었다. 이와 같은 분석 결과를 토대로 본 연구는 교육 및 경제적 지원 대책 등 아동학대 감소방안을 결론으로 제시하였다.

Keywords

References

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