Smart Learning Strategies utilizing Convergence of e-Learning and Bigdata

이러닝과 빅데이터의 융합 기반 스마트러닝 전략

  • Received : 2014.11.23
  • Accepted : 2015.01.20
  • Published : 2015.01.28


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.


Supported by : Ministry of Science, ICT and Future Planning


  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
  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

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