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Adaptivity and Personalization in Ubiquitous Learning Systems

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HCI and Usability for Education and Work (USAB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5298))

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Abstract

Ubiquitous learning is an emerging research field, allowing students to learn anywhere and anytime. Adaptivity and personalization issues play an important role in ubiquitous learning systems, enabling those systems not only to allow learners to learn whenever and wherever they want, but also in a personalized and adaptive way, considering the situation, characteristics, and needs of learners. In this paper, an overview of adaptivity and personalization issues in ubiquitous learning systems is provided and current and future research directions are discussed.

The authors would like to thank the National Science Council of the Republic of China, Taiwan, for financially supporting this research under Contract No. NSC 96-2520-S-008 -007 -MY2 and NSC 097-2811-S-008-001-. The authors wish to acknowledge the support of iCORE, Xerox and the research related gift funding provided to the Learning Communities Project by Mr. Allan Markin.

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Author information

Authors and Affiliations

  1. Graduate Institute of Learning and Instruction, National Central University, No. 300, Jhongda Rd., Jhongli City, Taoyuan, 32001, Taiwan

    Sabine Graf

  2. School of Computing and Information Systems, Athabasca University, 1 University Drive, Athabasca, AB T9S 3A3, Canada

    Kinshuk

Authors
  1. Sabine Graf
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  2. Kinshuk
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Editor information

Editors and Affiliations

  1. Institute for Medical Informatics, Statistics and Documentation (IMI) Research Unit HCI4MED, Medical University Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger

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© 2008 Springer-Verlag Berlin Heidelberg

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Graf, S., Kinshuk (2008). Adaptivity and Personalization in Ubiquitous Learning Systems. In: Holzinger, A. (eds) HCI and Usability for Education and Work. USAB 2008. Lecture Notes in Computer Science, vol 5298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89350-9_23

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  • DOI: https://doi.org/10.1007/978-3-540-89350-9_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89349-3

  • Online ISBN: 978-3-540-89350-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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