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Flexible Ubiquitous Learning Management System Adapted to Learning Context

  • Ji-Seong Jeong
  • Mihye Kim
  • Chan Park
  • Jae-Soo Yoo
  • Kwan-Hee Yoo
Part of the Communications in Computer and Information Science book series (CCIS, volume 124)

Abstract

This paper proposes a u-learning management system (ULMS) appropriate to the ubiquitous learning environment, with emphasis on the significance of context awareness and adaptation in learning. The proposed system supports the basic functions of an e-learning management system and incorporates a number of tools and additional features to provide a more customized learning service. The proposed system automatically corresponds to various forms of user terminal without modifying the existing system. The functions, formats, and course learning activities of the system are dynamically and adaptively constructed at runtime according to user terminals, course types, pedagogical goals as well as student characteristics and learning context. A prototype for university use has been implemented to demonstrate and evaluate the proposed approach. We regard the proposed ULMS as an ideal u-learning system because it can not only lead students into continuous and mobile ’anytime, anywhere’ learning using any kind of terminal, but can also foster enhanced self-directed learning through the establishment of an adaptive learning environment.

Keywords

Learning management system ubiquitous learning management system u-learning system 

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References

  1. 1.
    Curtin, J., Kauffman, R.J., Riggins, F.J.: Making the ‘Most’ Out of RFID Technology: A Research Agenda for the Study of the Adoption, Usage, and Impact of RFID. Information Technology and Management 8(2), 87–110 (2007)CrossRefGoogle Scholar
  2. 2.
    Liu, G.-Z., Hwang, G.-J.: A key step to understanding paradigm shifts in e-learning: Towards context-aware ubiquitous learning. British Journal of Educational Technology 40(6) (2009)Google Scholar
  3. 3.
    Rushby, N.: Editorial. British Journal of Educational Technology 36(5), 709–710 (2005)CrossRefGoogle Scholar
  4. 4.
    Dosi, A., Prario, B.: New Frontiers of T-Learning: the Emergence of Interactive Digital Broadcasting Learning Services in Europe. In: ED-Media 2004, 4831–4836 (2004)Google Scholar
  5. 5.
    Jung, S.M., Ko, B.S., Shin, S.W., Seo, J.H.: Understanding of u-learning. Korean Education & Research Information Service (KERIS), Issue Report RM 2005-54, Republic of Korea (2005) Google Scholar
  6. 6.
  7. 7.
  8. 8.
  9. 9.
  10. 10.
  11. 11.
  12. 12.
  13. 13.
  14. 14.
  15. 15.
    Park, C., Sung, D.-O., Han, C.D., Jang, Y., Lee, H.J., Yoo, J.-S., Yoo, K.-H.: COLMS: Components Oriented u-Learning Management Systems in Ubiquitous Environments. International Journal of Contents 5(1), 15–20 (2009)CrossRefGoogle Scholar
  16. 16.
    Malek, J., Laroussi, M., Derycke, A.: A Multi-Layer Ubiquitous Middleware for Bijective Adaptation between Context and Activity in a Mobile and Collaborative learning. In: The Proceedings of the International Conference on Systems and Networks Communication (ICSNC 2006), vol. 39 (2006)Google Scholar
  17. 17.
    Quay, J.: The importance of context to learning: physical education and outdoor education seeing eye to eye. In: The Proceedings of ACHPER Interactive Health and Physical Education Conference 2002, pp. 1–15 (2002)Google Scholar
  18. 18.
    Wang, Y.-K.: Context Awareness and Adaptation in Mobile Learning. In: The Proceedings of the Second IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE 2004), pp. 154–158 (2004)Google Scholar
  19. 19.
    Sung, D.-O., Lee, M.-S., Park, J.-H., Park, H.-S., Park, C., Yoo, J.-S., Yoo, K.-H.: Design and Implementation of u-Learning Contents Authoring System based on a Learning Activity. Journal of Korea Contents Association 9(1), 475–483 (2009)CrossRefGoogle Scholar
  20. 20.
    Ellis, R.K.: Field Guide to Learning Management Systems, ASTD Learning Circuits (2009), http://www.astd.org/NR/rdonlyres/12ECDB99-3B91-403E-9B15-7E597444645D/23395/LMS_fieldguide_20091.pdf
  21. 21.
    Peter, S.E., Dastbaz, M., Bacon, E.: Personalised e-Learning, Semantic Web and Learning Ontologies. In: The Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications (ED-MEDIA 2008), pp. 1818–1825 (June 2008)Google Scholar
  22. 22.
    Peter, S.E., Bacon, E., Dastbaz, M.: Learning styles, personalisation and adaptable e-learning. In: The Proceedings of the Fourteenth International Conference on Software Process Improvement Research, Education and Training (INSPIRE 2009), pp. 77–87. The British Computer Society (2009)Google Scholar
  23. 23.
  24. 24.
    Oneto, L., Abel, F., Herder, E., Smits, D.: Making today’s Learning Management Systems adaptive. In: Workshop on Learning Management Systems meet Adaptive Environments at EC-TEC 2009, Nice, France (September 2009)Google Scholar
  25. 25.
  26. 26.
    Kim, M.H., Choi, S.-Y.: An Ontology-Based Adaptive Learning System to Enhance Self-directed Learning. In: Kang, B.-H., Richards, D. (eds.) PKAW 2010. LNCS, vol. 6232, pp. 91–102. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  27. 27.
    Evans, S.J., Waller, P.C., Davis, S.: Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol Drug Safe (10), 483–486 (2001)Google Scholar
  28. 28.
    Rothman, K.J., Lanes, S., Sacks, S.T.: The reporting odds ratio and its advantages over the proportional reporting ratio. Pharmacoepidemiol Drug Safe (13), 519–523 (2004)Google Scholar
  29. 29.
    Bate, A., Lindquist, M., Edwards, I.R., Olsson, S., Orre, R., Lansner, A., De Freitas, R.M.: A Bayesian neural network method for adverse drug reaction signal generation. European Journal of Clinical Pharmacology 54(4), 315–321 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Ji-Seong Jeong
    • 1
    • 2
    • 3
    • 4
  • Mihye Kim
    • 5
  • Chan Park
    • 1
    • 2
    • 3
    • 4
  • Jae-Soo Yoo
    • 1
    • 2
    • 3
    • 4
  • Kwan-Hee Yoo
    • 1
    • 2
    • 3
    • 4
  1. 1.Department of Information Industrial EngineeringChungbuk National UniversityChungbukSouth Korea
  2. 2.Department of Information Communication EngineeringChungbuk National UniversityChungbukSouth Korea
  3. 3.Department of Computer EducationChungbuk National UniversityChungbukSouth Korea
  4. 4.IIEChungbuk National UniversityChungbukSouth Korea
  5. 5.Department of Computer Science EducationCatholic University of DaeguGyeongbukSouth Korea

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