A Study on Smart Teaching Plan Production System Combined Education Profiling

교육 프로파일링을 융합한 스마트 교안제작 시스템에 관한 연구

  • Kim, Ki-Bong (Dept. of Computer Information, Health Institute of Technology) ;
  • Cho, Han-Jin (Dept. of Smart Mobile, Far East University)
  • 김기봉 (대전보건대학교 컴퓨터정보과) ;
  • 조한진 (극동대학교 스마트모바일학과)
  • Received : 2015.01.06
  • Accepted : 2015.03.20
  • Published : 2015.03.28


We are fusing to the profiling techniques in education and making to a smart teaching plan production systems. Therefore, we investigated based on technical elements necessary for the proper look for profiling techniques, trends in the technology and product trends. We proposed that is smart teaching plan production system such as the smart teaching plan production and editing technique, the management technique for the smart teaching plan, and works for relation skill to smart teaching plan production systems. If you using the techniques that we were proposed to build effective smart teaching plan production system, management system for contents control, virtual classroom then they can management their's class and class teaching plan production, file management to teaching group easy. and those students can easy understand in their class too easy.


Smart Education;Education Profiling;Smart Profiling;Teaching Plan Production;Smart System


Supported by : 대전보건대학교


  1. SMART : Self-Directed . Motivated . Adapted . Resource enriched . Technology embedded, 2010
  2. Don-Jeong Kim, Smart Platform for Smart Learn ing, The 2nd Smart Learning Leaders Seminar, Korea e-Learning Industry Association, 2010
  3. 2012 Survey of Korean e-Learning Industry, NIPA, 2012
  4. Sang-Hyun Jang, Education 3.0, ICT Convergence and Smart Education, Korea Contents Association Review v.11, n.1, 2013
  5. Kyoo-Sung Noh(et. al), An Exploratory Study on Concept and Realization Conditions of Smart Learning, Journal of Digital Convergence , Vol. 9, No. 2, 2011
  6. Ju-Yeon Lee(et al), A Generalization Approach to User Modeling for Adapting Various Personalized Services in Ubiquitous Computing Environment, Journal of Computing Science and Engineering Fall Dissertation Collection, Vol. 33, No. 2, 2006
  7. Park, H-S., and Cho, S.-B. Lifelog mining for mobile social network construction, Proceedings of the Korea Business Intelligence Data Mining Conference, 2009
  8. Il-Sang Ko(et al), A Study on the Factors Facilitating the Effectiveness of Web-based Collaborative Learning, Journal of Information Technology Applications & Management Vol.13, No.4, 2006.12, 197-214
  9. Hyung-Euk Lee(et al), Fuzzy Inductive Learning System for Learning Preference of the User's Behavior Pattern, Korean Journal of Fuzzy Logic and Intelligent Systems, Vol.15, No. 7, 2005
  10. KERIS, Issue Report, Concept and Progress Direct ion of Standard Platform for Smart Education, 2011
  11. KOCCA, Foreign Country Contents Market Research, 2013
  12. Korea Communication Agency, Context Awareness Technology, Applied Case and Its Prospect, Korea Communication Agency, 2013
  13. Simone Braun, Andreas Schmidt, Andreas Walter, Valentine Zacharias, "The Ontology Maturing Approach for Collaborative and Work Integrated Ontology Development : Evaluation Results and Future Directions", ESOE, Busan-Korea, November 2007
  14. Yong-Hwan Lee, YuKyong Lee, Han-Jin Cho, June-Hwan Lee, "Development of Multimedia Contents System for Gogurye Ancient Tomb Mural", Journal of the Korea Convergence Society, Vol. 4, No. 4, pp. 13-19, 2013.

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