The full text of this article

 

Multiagent system for learning objects retrieval with context attributes
by Ana-Belen Gil-Gonzalez, Francisco Garcia-Penalvo
International Journal of Computer Applications in Technology (IJCAT), Vol. 33, No. 4, 2008

 

Abstract: Educational standards that include content metadata description for materials have great potential for managing e-learning information and content units and facilitate their interoperability and reutilisation. These open semantic and distance learning aspects contribute new and important possibilities for online education systems. The Learning Objects (LOs) paradigm focuses this new gap on the management and exchange of educational materials. This paper presents an application approach to educational content recommendation based on Learning Objects. It describes an architecture based on a multi-agent system with a bio-inspired algorithm rooted in self-organisation theory. It supports the retrieval, search, selection and composition of these LOs.

 

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

 
Existing subscribers:
Go to Inderscience Online Journals 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, buy online access here.

 
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

 

    Username:        Password:         

Forgotten your password?


 
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

 
If you still need assistance, please email subs@inderscience.com