디지털융복합연구 (Journal of Digital Convergence)

  • 제13권1호
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  • Pages.487-493
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  • 2015
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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이러닝과 빅데이터의 융합 기반 스마트러닝 전략

Smart Learning Strategies utilizing Convergence of e-Learning and Bigdata

  • 투고 : 2014.11.23
  • 심사 : 2015.01.20
  • 발행 : 2015.01.28
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초록

본 연구는 선진국의 사례를 기반으로 이러닝과 빅데이터의 융합적 접근을 통한 이러닝의 고도화 대안으로서 스마트러닝의 전략적 시사점을 도출한다. 이를 위해 본 연구는 먼저 국내 이러닝 현황 및 해결 과제를 도출한 다음 해외 주요 선진기업과 대학들의 이러닝과 데이터과학의 융합 사례를 분석한다. 아울러 이러닝 기업의 임직원을 대상으로 빅데이터 적용에 관한 인식 조사를 실시한 다음 조사된 자료의 분석을 통해 산업 현장에서 실효성을 갖는 빅데이터 융합 기반 스마트러닝의 전략적 대안을 도출한다.

This paper derives the strategic implications of smart learning as a sophisticated alternative to e-learning through the convergence approach of e-learning and Bigdata based on the practices of developed countries. To this, this paper derives e-Learning status and challenges issues in Korea, and then, analyzes the convergence case of e-learning and data science in major foreign advanced companies and universities. In addition, this study conducts an awareness survey on Bigdata applied for employees of e-learning companies, and then derives a strategic alternative to the Bigdata convergence-based smart learning effectiveness in the industry with the analysis of the survey data.

키워드

참고문헌

  1. Kyoo-Sung Noh, Seong-Hwan Ju(2014), A Study on Policies of the Ordering and Receiving System for Public e-Learning Project in Korea, Journal of Digital Convergence 12(3), pp.29-36 https://doi.org/10.14400/JDC.2014.12.3.29
  2. Kyoo-Sung Noh, Seong-Taek Park, Seong-Hwan Ju, Byung Sung Kim(2014), A Study on Policy for e-Learning utilizing Bigdata, Ministry of Science, ICT and Future Planning
  3. Ministry of Trade, Industry & Energy(2014), 2013 Survey of Korean e-Learning Industry
  4. Naeimeh Delavari, Mohammad Reza Beikzadeh(2008), "Data Mining Application in Higher Learning Institutions" Informatics in Education 7(1), pp.31-54

피인용 문헌

  1. A Study on Analysis of the Differences for Perception of Big Data in Era of Convergence vol.13, pp.10, 2015, https://doi.org/10.14400/JDC.2015.13.10.305
  2. Convergence Research for Implementing NC Postprocessor Based Cloud Computing vol.7, pp.1, 2016, https://doi.org/10.15207/JKCS.2016.7.1.017
  3. A Study on Awareness to Effectiveness of the Cost Estimation Guidelines for e-Learning Content Development in Era of Convergence vol.13, pp.11, 2015, https://doi.org/10.14400/JDC.2015.13.11.7
  4. 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
  5. Educational Policy Proposals through Analysis of the Perception of Bigdata for University Students vol.13, pp.11, 2015, https://doi.org/10.14400/JDC.2015.13.11.25
  6. A Study on Theory of Planned Behavior of Accounting Information Classes in the Digital Convergence Era vol.13, pp.9, 2015, https://doi.org/10.14400/JDC.2015.13.9.169
  7. Convergence Analysis of Recognition and Influence on Bigdata in the e-Learning Field vol.13, pp.10, 2015, https://doi.org/10.14400/JDC.2015.13.10.51
  8. A Study on Policy for Actualizing the Development Cost Estimation Guidelines of e-Learning Contents in Era of Convergence vol.13, pp.9, 2015, https://doi.org/10.14400/JDC.2015.13.9.49
  9. 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