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A Study on Policy for Data Convergence infrastructure of e-Learning Industry

이러닝산업의 데이터융합 기반 구축 정책과제 제안

  • Ju, Seong-Hwan (Dept. of Cooperation, Large & Small Business Cooperation Foundation) ;
  • Noh, Kyoo-Sung (Dept. of Business Administration, Sunmoon University)
  • 주성환 (대.중소기업협력재단 동반협력부) ;
  • 노규성 (선문대학교 경영학부)
  • Received : 2014.11.25
  • Accepted : 2015.01.20
  • Published : 2015.01.28

Abstract

This study, according as the limits on learning and unsatisfaction about e-learning are emerging and the structural contradictions of the e-learning industry are continuing, was carried out to present the policy alternatives for solving these. As a means for overcoming the limitations of e-learning and the healthy growth of e-learning industry, this study presents the application of Bigdata in e-learning and proposes several practical challenges of policy. Policy action plans are technology development support, professional manpower support, SME application support, legal improvement.

본 연구는 이러닝의 학습효과 및 만족도에 대한 한계가 대두되고, 이러닝 산업의 구조적 모순이 지속됨에 따라 이를 해결하기 위한 정책적 대안을 제시하고자 수행되었다. 이러닝의 한계의 극복과 이러닝 산업의 건전한 성장을 위한 수단으로서 이러닝에서의 빅데이터 적용 방안을 제시하고, 이에 대한 정책 실천과제를 제안하였다. 정책 실천과제로서 첫째, 기술개발 지원, 둘째, 전문인력 양성, 셋째, 중소기업 보급 지원, 넷째, 법/제도 개선을 꼽고 이에 대한 체계적 추진을 제언하였다.

Keywords

References

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Cited by

  1. An Exploratory Study on Improvement Method of the Subway Congestion Based Big Data Convergence vol.13, pp.2, 2015, https://doi.org/10.14400/JDC.2015.13.2.35
  2. An Analysis on Application Status of Standard Contract on the e-Learning Content Development Project in Era of Convergence vol.13, pp.3, 2015, https://doi.org/10.14400/JDC.2015.13.3.11
  3. A study on the position of CDO for improving competitiveness based big data in cluster computing environment vol.19, pp.3, 2016, https://doi.org/10.1007/s10586-016-0610-9