Examining a case-based reasoning retrieval system using mental models as a framework
by Wu He, Sanda Erdelez, Feng-Kwei Wang
International Journal of Learning Technology (IJLT), Vol. 5, No. 1, 2010

Abstract: Research examining how people use case-based reasoning retrieval systems has been limited. It has not been clear how mental models can be used as a framework to examine the usability of case-based reasoning retrieval systems. In this paper, we report our findings on how the presence of a mental model affects the experiences of users of the knowledge innovation for technology in education (KITE) system, the first developed CBR retrieval system in the educational technology integration community.

Online publication date: Mon, 15-Feb-2010

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 Learning Technology (IJLT):
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