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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

Abstract

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.

Keywords

Bigdata Convergence;e-Learning;Smart Learning;Learning Strategy

References

  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

Cited by

  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

Acknowledgement

Supported by : Ministry of Science, ICT and Future Planning