Key Issues for Personalized Learning Service Provision in Ubiquitous Learning Environments

Lu Yi Li; Yan Lin Zheng; Fan Lin Zheng

doi:10.4028/www.scientific.net/AMR.225-226.925

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 225-226Key Issues for Personalized Learning Service...

Key Issues for Personalized Learning Service Provision in Ubiquitous Learning Environments

Abstract:

Learning itself is substantially ubiquitous, while real ubiquitous learning needs can only be supported by appropriate learning technologies. Technology enhanced personalized learning service is indispensable for ubiquitous learning. This paper discusses several key issues for personalized learning service provision in ubiquitous learning environments, including learner modeling, context management, ontology adoption and service visualization.

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Periodical:

Advanced Materials Research (Volumes 225-226)

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925-928

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.225-226.925

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Online since:

April 2011

Authors:

Lu Yi Li, Yan Lin Zheng, Fan Lin Zheng

Keywords:

Context Management, Learner Modeling, Ontology, Personalized Learning Service, Ubiquitous Learning Environments (ULEs)

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References

[1] Li,L. & Zheng Y. (2009). The connotation and characteristics of ubiquitous learning. Modern Distance Education, 2009-4. pp.36-39.

Google Scholar

[2] Wahlster, W. & Kobsa A. (1989): User Models in Dialog Systems. In A. Kobsa and W. Wahlster: User Models in Dialog Systems. Berlin: Springer Verlag.

DOI: 10.1007/978-3-642-83230-7_1

Google Scholar

[3] Kolb, D. A. (1981). Learning Styles and Disciplinary Differences, In A. Chickering and Associates (Eds. ), The Modern American College, San Francisco: Jossey-Bass Publishers.

Google Scholar

[4] Dey, A.K., Abowd, G.D., & Salber, D. (2001). A Conceptual framework and a Toolkit for Supporting the Rapid Prototyping of Context-aware Applications. Human-Computer Interaction, 16, 229-241.

DOI: 10.1207/s15327051hci16234_02

Google Scholar

[5] Gonçalves,B., Costa, P., Botelho, L.M. (2008). Context-Awareness. Schumacher, M., Helin, H., and Schuldt, H. (eds), CASCOM: Intelligent Service Coordination in the Semantic Web.

DOI: 10.1007/978-3-7643-8575-0

Google Scholar

[6] Gruber, T. R. (1993) Toward Principles for the Design of Ontologies Used for Knowledge Sharing. Padua workshop on Formal Ontology, Padova. Italy.

Google Scholar

[7] Kashyap, V. & Sheth, A. (1996).

Google Scholar

[8] Zhou, N., Zhang, Y., & Zhang, L. (2005). Information visualization and Knowledge Mining. Science publishing house.

Google Scholar