APPEAL: a domain-independent artificial teacher
by J. Masthoff
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 12, No. 1/2/3/4, 2002

Abstract: This paper offers an overview of the APPEAL system and the design principles on which it is based. APPEAL, a domain-independent artificial teacher, consists of a society of agents, in which each agent has a particular competence, i.e. navigation, explanation, feedback, practice, or presentation. Foremost among the design principles on which the system is based is a reliance on ''situated'' action, in combination with extensive experimental evaluation. The interaction between the agents and between the agents and the student leads to the emergent adaptive functionality of the system.

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