Inderscience PublishersInderscience PublishersInderscience Publishers About Inderscience Contact Information Current Site Map General Help
  PUBLISHERS OF DISTINGUISHED ACADEMIC, SCIENTIFIC AND PROFESSIONAL JOURNALS

The full text of this article:

Scenario-oriented reusable learning object characterisations
by Miguel-Angel Sicilia, Miltiadis D. Lytras
International Journal of Knowledge and Learning (IJKL), Vol. 1, No. 4, 2005
Abstract: The definition of 'learning object' is still subject to debate and controversy, causing some degree of ambiguity. Proposed definitions differ in terms of broadness of scope, focus on reusability and requirements on metadata, among other characteristics. Nonetheless, if we approach the definition from the narrower perspective of engineering software systems that deal with learning objects, they can be characterised by the scenarios they are capable of engaging in or by the services for which they provide support. This connects the concept of metadata quality with a situation-specific definition of learning objects. Consequently, a resource may be considered – from the automation perspective – as a valid learning object in a given scenario, while in others it should be discarded due to the lack of certain characteristics. Since automated processes and Web services can be unambiguously specified, this definition enables the specification of conformance profiles with precise and specific requirements on learning objects.

is only available to individual subscribers or to users at subscribing institutions.

ATTENTION SUBSCRIBERS:
Please re-direct your browser by clicking on this Inderscience Online Journals link, to access the full-text of this article.

Pay per view: If you are not a Subscriber and you just want to read the full contents of this article, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is Thirty Euros (€30)

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge and Learning (IJKL) journal, that have been redirected here, please check if you have a registered username/password subscription with Inderscience. If that is the case, please Login:

    Username:        Password:         Forgotten your Password?

If you are not yet a Subscriber to International Journal of Knowledge and Learning (IJKL) journal, you can subscribe by following a few simple and quick steps. A subscription will give you complete access to all articles in the current issue, as well as to all articles in the previous three years, where applicable. Click here to subscribe.

Should you experience further difficulties or have any enquiries, please email subs@inderscience.com