E-Learning Networked Environments: Concepts and Issues

  • Samuel Pierre
  • Gilbert Paquette
Part of the Advanced Information and Knowledge Processing book series (AI&KP)


This chapter presents the basic concepts and main issues that characterize the e-learning network environments from a knowledge management standpoint. Knowledge management is essentially focused on the concept of knowledge, and specifically concerns the competencies of those working for organizations. It involves two important processes: knowledge extraction and knowledge assimilation. The main issues of e-learning network environments include the design of knowledge scenarios that can be integrated into knowledge environments yet to be built, as well as the design of knowledge networks dedicated to supporting these environments and enabling the retrieval of learning resources. In this chapter, the problematic of building knowledge scenarios and knowledge environments is first presented. Then, the principles, methods, and tools required to build knowledge networks are summarized, and the problems associated with retrieving resources and knowledge in networked environments are addressed.


Virtual Reality Augmented Reality Learning Object Network Environment Knowledge Resource 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Aukstakalnis, S., Blatner, D. (1992) Silicon Mirage—The Art and Science of Virtual Reality. Berkeley, CA: Peachpit Press.Google Scholar
  2. 2.
    Berners-Lee, T., Hendler, J., Lassila, O. (2001) The semantic web. Scientific American, May.Google Scholar
  3. 3.
    Bimbo, A. (1999) Visual Information Retrieval. San Francisco: Morgan Kaufmann.Google Scholar
  4. 4.
    Davenport, T.H., Prusak, L. (1998) Working Knowledge: How Organizations Manage What They Know. Cambridge, MA: Harvard Business School Press.Google Scholar
  5. 5.
    Duval, E., Robson, R. (2001) Guest editorial on metadata. Interactive learning environments. Special issue. Metadata 9(3): 201–206.Google Scholar
  6. 6.
    El Badawy, O., Kamel, M. (2002) Shape-based image retrieval applied to trademark images. International Journal of Image and Graphics, 2(3): 375–393.CrossRefGoogle Scholar
  7. 7.
    El Badawy, O., El-Sakka, M.R., Hassanein, K., Kamel, M. (2001) Image data mining from financial documents based on wavelet features. In: Proceedings of the International Conference on Image Processing, ICIP’ 2001, Vol. 1., Thessaloniki Greece: IEEE, pp. 1078–1081.Google Scholar
  8. 8.
    El Saddik, A. (2001) Interactive Multimedia Learning. Berlin: Springer-Verlag.CrossRefGoogle Scholar
  9. 9.
    El Saddik, A., Fischer S., Steinmetz R. (2001) Reusable multimedia content in Web-based learning systems. IEEE Multimedia, July/September, pp. 30–38.CrossRefGoogle Scholar
  10. 10.
    Georganas, N.D. (1997) Advanced Distributed Simulation and Collaborative Virtual Environments. Technical Report by Communications Research Centre, Industry Canada.Google Scholar
  11. 11.
    Gery G. (1997) Granting three wishes through performance-centred design. NATO Communications of the ACM, 40(7): 54–59.CrossRefGoogle Scholar
  12. 12.
    Girard J., Paquette, G., Miara, A., Lundgren, K. (1999) Intelligent Assistance for Web-Based TeleLearning. In: S. Lajoie and M. Vivet (eds.), AI inEducation—Open Learning Environments. IOS Press.Google Scholar
  13. 13.
    Grass, J. (1998). Reasoning about computational resource allocation: an introduction to anytime algorithms, Scholar
  14. 14.
    Harasim, L. (1990) Online education: an environment for collaboration and intellectual amplification. In: Harasim, L (ed.). Online Education: Perspectives on a New Environment. New York: Praeger Publishers.Google Scholar
  15. 15.
    Hiltz, R. (1990) Evaluating the virtual classroom. In: Harasim, L (ed.), Online Education: Perspectives on a New Environment. New York: Praeger Publishers, pp. 133–184.Google Scholar
  16. 16.
    Hodgins, H.W. (2002) The future of learning objects. e-Technologies in Engineering Education. A United Engineering Foundation Conference, 11–16 August, Davos, Switzerland.Google Scholar
  17. 17.
    Hosseini, M., Georganas, N.D. (2002) MPEG-4 based recording and replay of collaborative virtual reality sessions. In: Proceedings of the IEEE Virtual Reality 2002 Conference, Orlando, March.Google Scholar
  18. 18.
    Merrill, D. (1994) Principles of Instructional Design. Englewood Cliffs, NJ: Educational Technology Publications.Google Scholar
  19. 19.
    Paquette, G. (2004) Instructional Engineering in Networked Environments. San Francisco: Pfeiffer.Google Scholar
  20. 20.
    Paquette, G. (2004) Instructional Engineering for Network-Based Learning. San Francisco: Pfeiffer/Wiley.Google Scholar
  21. 21.
    Paquette, G. (2002) TeleLearning systems engineering—towards a new ISD model. Journal of Structural Learning, 14(4): 319–354.Google Scholar
  22. 22.
    Paquette, G. (2001) Designing virtual learning centers. In: Adelsberger H., Collis B., Pawlowski J. (Eds.), Handbook on Information Technologiesfor Education & Training. International Handbook on Information Systems. New York: Springer-Verlag, pp. 249–272.Google Scholar
  23. 23.
    Paquette, G. (1997) Virtual learning centres for XXIst century organisations. In: Verdejo, F., Davies, G. (eds.), The Virtual Campus. London: Chapman & Hall, pp. 18–34.Google Scholar
  24. 24.
    Paquette, G. (1995) Modeling the virtual campus. In: Collis, B., Davies, G. (eds.). Innovating AdultLearning with Innovative Technologies. Amsterdam: Elsevier Science B.V.Google Scholar
  25. 25.
    Paquette G., Aubin C., Crevier, F. (1997) Design and implementation of interactive telelearning scenarios. In: Proceedings of ICDE’97 (International Council for Distance Education). College Park, PA: Penn State University.Google Scholar
  26. 26.
    Paramythis, A., Loidl-Reisinger, S. (2004) Adaptive learning environments and e-learning standards. Electronic Journal of e-Learning, 2(1): 181–194.Google Scholar
  27. 27.
    Reitmayr, G., Schmalstieg, D. (2001) Mobile collaborative augmented reality. In: Proceedings of the 2nd IEEE/ACM International Symposium on Augmented Reality (ISAR’2001), NY, October, Scholar
  28. 28.
    Ricciardi-Rigault, C., Henri, F. (1994) Developing tools for optimizing the collaborative learning process. In: Proceedings of the International Distance Education Conference. College Park, PA: Penn State University, June.Google Scholar
  29. 29.
    Staab, S., Studer, R., Schnurr, H.P., Sure, Y. (2001) Knowledge processes and ontologies. IEEE Intelligent Systems, January /February, pp. 26–34.CrossRefGoogle Scholar
  30. 30.
    Singhal, S., Zyda, M. (1999) Networked Virtual Environments: Design and Implementation. New York: ACM Press.Google Scholar
  31. 31.
    Stav, J.B., Tsalapatas, H. (2004) Open, dynamic content and e-learning management infrastructure for engineering and natural sciences. Electronic Journal of e-Learning, 2(2):263–272.Google Scholar
  32. 32.
    Tsalapatas, H., Stav, J.B., Kalantzis, C. (2004) Content management middleware for the support of distributed teaching. Electronic Journal of e-Learning, 2(2):263–272.Google Scholar
  33. 33.
    Vossen, G., Westerkamp, P. (2004) Maintenance and exchange of learning objects in a web services based e-learning system. Electronic Journal of e-Learning, 2(2): 292–304.Google Scholar

Copyright information

© Springer-Verlag London Limited 2007

Authors and Affiliations

  • Samuel Pierre
    • 1
  • Gilbert Paquette
    • 2
  1. 1.École Polytechnique de MontréalMontréalCanada
  2. 2.Télé-UniversitéMontréalCanada

Personalised recommendations