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E-learning personalization based on itineraries and long-term navigational behavior

Published:19 May 2004Publication History

ABSTRACT

In this paper we describe a practical framework for studying then a navigational behavior of the users of an e-learning environment integrated in a virtual campus. The students navigate through the web based virtual campus interacting with learning resources which are structured following the SCORM e-learning standard. Our main goal is to design a usage mining tool for analyzing such user navigational behavior and for extracting relevant information that can be used to validate several aspects related to virtual campus design and usability but also to determine the optimal scheduling for each course depending on user profile. We intend to extend these quencing capabilities of the SCORM standard to include the concept of recommended itinerary, by combining teachers expertise with learned experience acquired by system usage analysis.

References

  1. ADL. Sharable content object reference model (SCORM) 2004. Technical report, Advanced Distributed Learning, 2004.Google ScholarGoogle Scholar
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  3. C. Clifton and V. Estivill-Castro, editors. Proc. of the ICDM 2002, Workshop on Privacy, Security and Data Mining, volume 14, Maebashi City, Japan, 2002. ACS. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. J. Srivastava, R. Cooley, M. Deshpande, and P.-N. Tan. Web usage mining: discovery and applications of usage patterns from web data. In ACM SIGKDD Explorations, volume 1(2), pages 12--23, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. E-learning personalization based on itineraries and long-term navigational behavior

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      • Published in

        cover image ACM Conferences
        WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
        May 2004
        532 pages
        ISBN:1581139128
        DOI:10.1145/1013367

        Copyright © 2004 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 19 May 2004

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        Overall Acceptance Rate1,899of8,196submissions,23%

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