Skip to main content

Knowledge Preference Based Learning Community Construction and Service Support

  • Conference paper
Entertainment for Education. Digital Techniques and Systems (Edutainment 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6249))

  • 3036 Accesses

Abstract

In this paper, the learner’s knowledge preference ontology model is presented to process learning preference and situation in E-Learning environment. By this model, knowledge domain, learning situation and knowledge preference are described reasonably and efficiently. And, the reasoning rules for knowledge preference and learning situation are given in this model. According to these reasoning rules, the learner’s knowledge preference and situation can be concluded. Furthermore, the learning community based on the learner’s knowledge preference is constructed. By talking with and learning good ideas from the members of the community, the learner’s loneliness in E-Learning environment would be declined. We design and implement the learning community and its service support based on knowledge preference ontology model. The experiment results show that the learner’s efficiency is raised greatly and the learner’s interest is stimulated more effectively.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Li, H., He, Q., Wu, Z.: The Research on Personalized Study System Based on Individual Student in Web. Journal of Computer Engineering and Applications 38(13), 239–242 (2002) (in Chinese)

    Google Scholar 

  2. Tu, C., Corry, M.: E-learning communities. Quarterly reviews of distance education 3(2), 207–218 (2002)

    Google Scholar 

  3. Gascue, J.M., Fernández-Caballero, A., González, P.: Domain Ontology for Personalized E-Learning in Educational Systems. In: Proceedings of the Sixth International Conference on Advanced Learning Technologies, pp. 456–458. IEEE Press, Los Alamitos (2006)

    Chapter  Google Scholar 

  4. Matheus, C.J., Kokar, M., Baclawski, K.: A Core Ontology for Situation Awareness. In: Proceedings of the 6th International Conference on Information Fusion, pp. 545–552. IEEE Press, San Francisco (2003)

    Google Scholar 

  5. Zhan, Y., Wang, J., Mao, Q.: Nested Knowledge Space Model and Awareness Processing in a Collaborative Learning Environment. Journal of Computer Research and Development 42(7), 1159–1165 (2005) (in Chinese)

    Article  Google Scholar 

  6. Protégé, http://protege.stanford.edu

  7. JENA, http://jena.sourceforge.net

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Deng, H., Zhan, Y., Mao, Q. (2010). Knowledge Preference Based Learning Community Construction and Service Support. In: Zhang, X., Zhong, S., Pan, Z., Wong, K., Yun, R. (eds) Entertainment for Education. Digital Techniques and Systems. Edutainment 2010. Lecture Notes in Computer Science, vol 6249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14533-9_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14533-9_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14532-2

  • Online ISBN: 978-3-642-14533-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics