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The Study of the System Development on the Safe Environment of Children's Smartphone Use and Contents Recommendations

유아들의 안전한 스마트폰 사용 환경 및 콘텐츠 추천 시스템 개발

  • 이경아 (주식회사 더플랜지) ;
  • 박은영 (협성대학교 시각디자인학과)
  • Received : 2018.04.20
  • Accepted : 2018.05.25
  • Published : 2018.05.31

Abstract

This study has developed a preventive launcher from smartphone addiction for the digital generation and the contents recommendation based on machine learning which used multiple and collective intelligence. This could provide convenient digital nurturing experience for the parents who fear their children's over use of digital devices and also suggest individually adaptive digital learning methods that enhance the learning efficiency and pleasurable and safe learning environment for the children. Suggested application is a kind of gamification launcher that protects children from harmful contents and from smartphone addiction with time limit settings. For parents who find difficulty choosing from various kinds of contents and applications for education, this suggested system could provide a learning analytic report based on big data after collecting and analyzing the data of their children's learning and activities and recommend contents necessary for their kids using recommended algorithm by collective intelligence.

본 연구에서는 디지털 세대를 위한 스마트폰 중독 방지 런처와 다중지능 및 집단지성을 활용한 머신 러닝 기반 콘텐츠 추천 시스템을 개발하였다. 이를 통해 어린 자녀의 디지털 기기 과다 사용을 불안해하는 부모들에게 편리한 디지털 양육 경험을 제공하고 자녀에게는 즐겁고 안전한 학습 환경과 학습 능률을 제고하는 적응 형 개별 디지털 학습법을 제시한다. 제안하는 앱은 시간제한 설정과 더불어 유해 콘텐츠와 스마트폰 중독의 위험으로부터 자녀를 보호하는 게이미피케이션 런처이다. 수많은 교육용 콘텐츠 및 앱 중에서 선택이 어려운 부모들에게 아이들의 학습 및 활동 정보를 수집 분석하여 빅 데이터 기반의 학습 분석 리포트를 제공 하고 집단지성을 통한 추천 알고리즘으로 자녀에게 필요한 콘텐츠를 추천하는 시스템으로 구성된다.

Keywords

References

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Cited by

  1. Predicting Learning Achievement Using Big Data Cluster Analysis : Focusing on Longitudinal Study vol.19, pp.9, 2018, https://doi.org/10.9728/dcs.2018.19.9.1769
  2. 유아용 스마트폰 애플리케이션 평가 및 리뷰점수에 따른 차이분석 vol.20, pp.11, 2020, https://doi.org/10.5392/jkca.2020.20.11.228