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Knowledge-Chip Supported Content Recommendation in the e-Learning Context

  • Luyi Li
  • Yanlin Zheng
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 146)

Abstract

Content recommendation is one of important learning supports in e-learning environments, which is often based on the recognition of the knowledge content itself that have been preset according to knowledge hierarchy. A knowledge-chip is a functional unit of knowledge and encompasses ontological, context and functional dimensions. With a case study analysis, this paper proposes the use of knowledge-chips in supporting content recommendation in the e-learning context.

Keywords

knowledge-chip content recommendation weblog 

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References

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.e-Learning CenterNortheast Normal UnviersityChangchunChina
  2. 2.School of Education ScienceNortheast Normal UniversityChangchunChina
  3. 3.School of Computer Science & Information TechnologyNortheast Normal UniversityChangchunChina

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