Advertisement

Multi-perspective Context Modelling to Augment Adaptation in Simulated Learning Environments

  • Dimoklis Despotakis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6787)

Abstract

Simulated environments, where learners are involved in simulated situations that resemble actual activities, gain a growing popularity in professional training, and provide powerful experiential learning tools for developing soft skills in ill-defined domains[1]. Adaptation and personalization will play a key role in these environments[2].

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Mitrovic, A., Weerasinghe, A.: Revisiting Ill-Definedness and the Consequences for ITSs. In: Proceeding of AIED 2009, pp. 375–382. IOS Press, Amsterdam (2009)Google Scholar
  2. 2.
    Gaffney, C., et al.: A survey of soft skill simulation authoring tools. In: Proceedings of the 19th ACM Conference on Hypertext and Hypermedia, pp. 181–186 (2008)Google Scholar
  3. 3.
    Knowles, M.: The modern practice of adult education: From pedagogy to andragogy. Follett, Chicago (1980)Google Scholar
  4. 4.
    Ley, T., Kump, B., Gerdenitsch, C.: Scaffolding self-directed learning with personalized learning goal recommendations. In: De Bra, P., Kobsa, A., Chin, D., et al. (eds.) UMAP 2010. LNCS, vol. 6075, pp. 75–86. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  5. 5.
    Weber, N., et al.: Knowledge Maturing in the Semantic MediaWiki: A Design Study in Career Guidance. In: Proceedings of ECTEL 2009, pp. 700–705. Springer, Heidelberg (2009)Google Scholar
  6. 6.
    Bajanki, S., et al.: Use of Semantics to Build an Academic Writing Community Environment. In: Proceeding of AIED 2009, pp. 357–364. IOS Press, Amsterdam (2009)Google Scholar
  7. 7.
    Markkanen, H., et al.: Knowledge Practices Laboratory (KP-Lab) Overview (2008)Google Scholar
  8. 8.
    Ardissono, L., et al.: Managing Context-Dependent Workspace Awareness in an e-Collaboration Environment. In: Proceedings of Web Intelligence and Intelligent Agent Technology 2009, pp. 42–45. IEEE Computer Society, Los Alamitos (2009)Google Scholar
  9. 9.
    Leonardi, E., et al.: A flexible rule-based method for interlinking, integrating, and enriching user data. In: Proceedings of the 10th International Conference on Web Engineering, pp. 322–336. Springer, Vienna (2010)Google Scholar
  10. 10.
    Dim, E., Kuflik, T.: Social signal processing: detecting small group interaction in leisure activity. In: Proceeding of the 14th International Conference on Intelligent User Interfaces, pp. 309–312. ACM, Hong Kong (2010)CrossRefGoogle Scholar
  11. 11.
    Dey, A.: Understanding and Using Context. Personal Ubiquitous Computing 5(1), 4–7 (2001)CrossRefMathSciNetGoogle Scholar
  12. 12.
    Vinciarelli, A., et al.: Social signal processing: Survey of an emerging domain. Image Vision Comput. 27(12), 1743–1759 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Dimoklis Despotakis
    • 1
  1. 1.School of ComputingUniversity of Leeds, West YorkshireLeedsUnited Kingdom

Personalised recommendations