참고문헌 (19)

1. Ministry of Education. Standard of System for Cyber Education [Internet]. Available: http://www.law.go.kr/LSW//admRulInfoP.do?admRulSeq2100000055170. 

2. G. Y. Ryu, "Quality Improvement Plan of Elementary School Teacher's Distance Training," Journal of the Korean Association of Information Education, Vol. 9 No. 4, pp.617-625, 2005 

3. S. K. Lee and Y. J. Park, "Case Study on Application of Social Learning in Workforce Education," Journal of Digital Contents Society, Vol. 16, No. 4, pp. 523-534, 2015 . 

   원문보기 상세보기

4. J. M. Kim, Y. Kim, W. G. Lee, "A Study for Improvement of Learning Management System in Distance Education & Training Institutes", Journal of academia-industrial technology, Vol. 11 No. 4, pp. 1411-1418, 2010. 

5. J. Y. Jung and J. W. Lee, "An Exploratory Study on Dropout Intention of Cyber University Students," Korean Education Inquiry , Vol. 35, No. 4, pp. 149-168, 2017. 

   상세보기

6. E. J. Song, "A Study on the System for On-line Education by Mobile," Journal of Digital Contents Society Vol. 6, No. 3, pp. 149-155, 2005 . 

7. K. S. Noh, "Convergence Analysis of Recognition and Influence on Bigdata in the e-Learning Field," Journal of Digital Convergence, Vol. 13, Issue 10, pp. 51-58, 2015. 

8. M. L. Ahn, Y. Y. Choi, Y. H. Bae, Y. M. Ko, M. H. Kim, "A Literature Review on Learning Analytics: Exploratory study of empirical researches utilizing log data in Korea," Journal of Educational Technology, Vol. 32, No. 2, pp. 253-291, 2016. 

   상세보기

9. M. D. Pistilli, ans K. E. Arnold, " In practice: Purdue Signals: Mining real-time academic data to enhance student success ," About Campus, Vol. 15, No. 3, pp. 22-24, 2010. 

   상세보기

10. I. H. Jo, J. H. Kim, "Investigation of Statistically Significant Period for Achievement Prediction Model in e-Learning," Journal of Educational Technology, Vol. 29 No. 2, pp. 285-306, 2013. 

    상세보기

11. Y. J. Park, "Need Analysis for Learning Analytics Dashboard in LMS: Applying Activity Theory as an Analytic and design Tool," Journal of Educational Technology, Vol. 30, No. 2, pp. 221-258, 2014. 

    상세보기

12. J, W, You, "Computer Education Curriculum and Instruction : Dropout Prediction Modeling and Investigating the Feasibility of Early Detection in e-Learning Courses," The Journal of Korean association of computer education, Vol. 17, No. 1, pp. 1-12, 2014. 

13. Korea Education And Research Information Service, White paper on ICT in education korea, 2017. 

14. T. Tran, H. Dang, V. Dinh, T. Truong, T. Vuong and X. Phan, "Performance Prediction for Students: A Multi-Strategy Approach," The Journal of Institute of Information and Communication Technologies of Bulgarian Academy of Sciences, Vol. 17, No. 2, pp. 164-182, 2017. 

15. W. G. Hatcher and W. Yu, "A Survey of Deep Learning: Platforms, Applications and Emerging Research Trends," IEEE Access, Vol. 6, pp. 24411-24432, 2018. 

    상세보기

16. Y. Bengio, A. Couville, ad P. Vincent, "Representation Learning: A Review and New Perspectives," IEEE Trans. PAMI, special issue Learning Deep Architectures, Vol. 35, Issue 8, pp. 1798-1828, 2013. 

17. Y. Lecun, L. Bottou, Y. Bengio and P. Haffner, "Gradient-based learning applied to document recognition," Proceedings of the IEEE, Vol. 86, No. 11, pp. 278-2324, 1998. 

18. C. Szegedy, T. Alexander and E. Dumitru, "Deep neural networks for object detection," Advances in Neural Information Processing Systems, 2013. 

19. J. F. Wiley, "R Deep Learning Essentials," Packt Publishing, 2016. 

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