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IJIET 2015 Vol.5(9): 698-703 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.595

Distribution and Sharing of e-Learning Courseware by Weighted Keywords

Takao Shimomura, Kenji Ikeda, and Adriano Montanaro

Abstract—Web-based training is popular around the world, where a large number of people can study at the same time through the Internet anytime and anywhere. The major issue of current e-learning is courseware distribution between different platforms. SCORM (sharable content object reference model) is one of the solutions for courseware sharing. However, to make SCORM-conformable courseware, some knowledge about HTML and JavaScript is required. We have developed a SWF (Sharable Web Fragment)-based e-learning system, where courseware is created with sharable Web fragments such as Web pages, images and other resources, and the courseware can be distributed to another platform by export and import facilities. The exported meta-information is architecture-independent and provides a model of courseware distribution. This paper presents how to promote the distribution and sharing of Web-based e-learning courseware, where courseware can be easily retrieved by weighted keywords.

Index Terms—Courseware, distribution, learning, sharing, web.

Takao Shimomura and Kenji Ikeda are with the University of Tokushima, Tokushima 770-8506 Japan (e-mail: simomura@is.tokushima-u.ac.jp, ikeda@is.tokushima-u.ac.jp).
Adriano Montanaro is with the University of Padova, Padova, Italy (e-mail: montanaro@dmsa.unipd.it).

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Cite: Takao Shimomura, Kenji Ikeda, and Adriano Montanaro, "Distribution and Sharing of e-Learning Courseware by Weighted Keywords," International Journal of Information and Education Technology vol. 5, no. 9, pp. 698-703, 2015.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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