Skip to main content
SpringerLink
Log in

On the Knowledge Repository Design and Management in E-Learning

  • Chapter
E-Service Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 37))

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. J.R. Anderson, Cognitive Psychology and Its Implications, 5th edition, Worth Publishing, New York, 2000.

    Google Scholar 

  2. C. Barritt, D. Lewis, Reusable Learning Object Strategy: Definition, Creation Process, and Guidelines for Building, Cisco Systems, Inc., (2000).

    Google Scholar 

  3. M. Brennan, S. Funke, C. Anderson, The Learning Content Management System: A New eLearning Market Segment Emerges, IDC White Paper, Framingham, MA, 2001. (Downloadable from website http://www.idc.dk/WhitePaper/).

  4. N. Cowan, The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behavioral and Brain Sciences 24 (1): 87-114, (2001).

    Article  Google Scholar 

  5. J.L. Doumont, Magical Numbers: The Seven-Plus-or-Minus-Two Myth. IEEE Transactions of Professional Communication, 45(2): 123-127, (2001).

    Article  Google Scholar 

  6. S. Downes, Learning objects: Resource for Distance Education Worldwide. International Review of Research in Open and Distance Learning 2(1)(2001).

    Google Scholar 

  7. Element K Corporate (2001), A Guide to Learning Management Systems, Rochester, New York, (Downloadable from website http://www.elementk.com/downloads/webservices_whitepaper.pdf).

  8. G. Frank, A. Farquhar, R. Fikes, Building a large knowledge base from a structured source, IEEE Intelligent Systems, 14(1): 47-54, (1999).

    Article  Google Scholar 

  9. F. Gobet, P.C.R. Lane, S. Croker, P.C-H. Cheng, G. Jones, I. Oliver, J.M. Pine, Chunking mechanisms in human learning, Trends in Cognitive Sciences, 5(6): 236-243, (2001).

    Article  Google Scholar 

  10. F. Gobet, G. Clarkson, Chunks in expert memory: Evidence for the magical number four… or is it two?. Memory, 12(6): 732-747, (2004).

    Article  Google Scholar 

  11. A. Gómez, J. Moreno, A. Pazos, A. Sierra-Alonso, Knowledge maps: An essential technique for conceptualization. Data & Knowledge Engineering, 33(2): 169-190, (2000).

    Article  MATH  Google Scholar 

  12. L. Greenberg, LMS and LSMS: What’s the Difference?, Learning Circuits - ASTD's Online Magazine All About E-Learning, 2002, (Downloadable from website http://www.learningcircuits.com/2002/dec2002/Greenberg.htm).

  13. N. Guarino, Understanding, building and using ontologies. International Journal of Human-Computer Studies, 46(2-3): 293-310, (1997).

    Article  Google Scholar 

  14. C.J. Hamel, D. Ryan-Jones, Designing Instruction with Learning Objects. International Journal of Educational Technology 3(1)(2002).

    Google Scholar 

  15. J. Heflin, J. Hendler, Dynamic Ontologies on the Web. In: Proceedings of American Association for Artificial Intelligence Conference (AAAI-2000). Menlo Park, Calif.: AAAI Press, pp. 443-449, (2000).

    Google Scholar 

  16. D. Helic, H.A. Maurer, N. Scerbakov, Knowledge transfer processes in a modern WBT system. Journal of Network and Computer Applications, 27(3): 163-190, (2004).

    Article  Google Scholar 

  17. IEEE LOM - IEEE Learning Objects Metadata, The IEEE Learning Technology Standards Committee, (Downloadable from website http://ieeeltsc.org/).

  18. S. Kassanke, A. Steinacker, Learning Objects Metadata and Tools in the Area of Operations Research, In: proceedings of ED-MEDIA'01, World Conference on Educational Multimedia, Hypermedia and Telecommunications, Tampere, Finland, pp. 891-895 (2001).

    Google Scholar 

  19. E. Kushtina, O. Zaikine, P. Różewski, R. Tadeusiewicz, Kusiak J, Polish experience in the didactical materials creation: the student involved in the learning/teaching process, In: proceedings of the 10th Conference of European University Information Systems (EUNIS'04), Bled, Slovenia, pp. 428-433, (2004).

    Google Scholar 

  20. Y.T. Lin, S.S. Tseng, C-F Tsai, Design and implementation of new objectoriented rule base management system. Expert Systems with Applications, 25(3): 369-385, (2003).

    Article  Google Scholar 

  21. Y. Liu, D. GinTher, Cognitive Styles and Distance Education, Online Journal of Distance Learning Administration, 2(3)(1999).

    Google Scholar 

  22. G. A. Miller, The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2): 81-97, (1956).

    Article  Google Scholar 

  23. P.R. Polsani, Use and Abuse of Reusable Learning Objects, Journal of Digital Information 3(4)(2003).

    Google Scholar 

  24. M. Quillian, Semantic Memory, In: M. Minsky (Ed.), Semantic Information Processing, MIT Press, Cambridge, Massachusetts, 1968, pp. 227-270.

    Google Scholar 

  25. P. Różewski, Method of information system design for knowledge representation and transmission in distance learning, unpublished doctoral thesis, Szczecin University of Technology, Faculty of Computer Science and Information Systems, (in Polish), (2004).

    Google Scholar 

  26. D. Sampson, P. Karampiperis, Towards Next Generation Activity-Based Learning Systems, International Journal on E-Learning, 5(1): 129-150, (2006).

    Google Scholar 

  27. SCORM - Sharable Content Object Reference Model, Advanced Distributed Learning Initiative, (Downloadable from website http://www.adlnet.org).

  28. L. Sheremetov, A.G. Arenas, EVA: an interactive web-based collaborative learning environment. Computers & Education, 39(2): 161-182, (2002).

    Article  Google Scholar 

  29. V. Sugumaran, V.C. Storey, Ontologies for conceptual modeling: their creation, use, and management, Data & Knowledge Engineering. 42(3): 251-271, (2002).

    Article  MATH  Google Scholar 

  30. D.C. Tsichritzis, F.H. Lochovsky, Data models, Prentice Hall - Professional Technical Reference, 1982.

    Google Scholar 

  31. R.P. Valderrama, L.B. Ocaña, and L.B. Sheremetov, Development of intelligent reusable learning objects for web-based education systems. Expert Systems with Applications, 26(3): 273-283, (2005).

    Article  Google Scholar 

  32. P.R.S. Visser, D.M. Jones, T.J.M. Bench-Capon, M.J.R. Shave, An Analysis of Ontology Mismatches; Heterogeneity versus Interoperability, In; Working notes of the Spring Symposium on Ontological Engineering (AAAI'97), Stanford University, pp. 164-172, (1997).

    Google Scholar 

  33. C.-H. Wu, Building knowledge structures for online instructional/learning systems via knowledge elements interrelations. Expert Systems with Applications, 26(3): 311-319, (2004).

    Article  Google Scholar 

  34. O. Zaikin, E. Kushtina, P. Różewski, Model and algorithm of the conceptual scheme formation for knowledge domain in distance learning. Accepted by European Journal of Operational Research.

    Google Scholar 

  35. D. Zhang, J.F. Nunamaker, Powering E-Learning In the New Millennium: An Overview of E-Learning and Enabling Technology. Information Systems Frontiers 5(2): 207-218, (2003).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, Szczecin University of Technology, Zolnierska 49, 71-210, Szczecin, Poland

    Emma Kushtina

  2. Faculty of Computer Science and Information Technology, Szczecin University of Technology, Zolnierska 49, 71-210, Szczecin, Poland

    Oleg Zaikin

  3. Faculty of Computer Science and Information Technology, Szczecin University of Technology, Zolnierska 49, 71-210, Szczecin, Poland

    Przemyslaw Rózewski

Authors
  1. Emma Kushtina
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Oleg Zaikin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Przemyslaw Rózewski
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Information Technology, University of Technology, Sydney (UTS), 123, NSW 2007, Broadway, Australia

    Jie Lu

  2. Faculty of Information Technology, University of Technology, Sydney (UTS), 124, NSW 2008, Broadway, Australia

    Guangquan Zhang

  3. The Belgian Nuclear Research Centre (SCK.CEN), Boeretang 200, 2400 Mol, Belgium

    Da Ruan

  4. Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 (S9), 9000, Gent, Belgium

    Da Ruan

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kushtina, E., Zaikin, O., Rózewski, P. (2007). On the Knowledge Repository Design and Management in E-Learning. In: Lu, J., Zhang, G., Ruan, D. (eds) E-Service Intelligence. Studies in Computational Intelligence, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37017-8_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-37017-8_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37015-4

  • Online ISBN: 978-3-540-37017-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation