Intelligent agents for a lifelong learning environment in information technologies
by Gerardo Ayala
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 12, No. 1/2/3/4, 2002

Abstract: This paper presents the design issues of CASSIEL, a lifelong learning environment developed at the Universidad de Las Americas-Puebla. CASSIEL (Computer Assisted Intelligent Environment for Learning) is a prototype that provides a lifelong learning environment that keeps the awareness in universities about the real needs and developments of software industries and in IT industries, about the latest advancements in computer science. CASSIEL represents the paradigm of a CSCL (Computer Supported Collaborative Learning) environment based on AI (Artificial Intelligence) techniques applied to the development of software agents that promote and support lifelong learning. CASSIEL has been designed as an agent-based environment where software agents have been modelled in order to support the development of the lifelong learning skills of its members and the social construction of knowledge in their community, maintaining awareness of relevant issues of IT (Information Technology) and communication and cooperation among the participants.

Online publication date: Wed, 16-Jul-2003

The full text of this article 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 Continuing Engineering Education and Life-Long Learning (IJCEELL):
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