Paper Info
Title
A multi-agent and emergent approach to learner modelling
Abstract
User modelling has been a central issue in the development of user-adaptive systems, which behaviour is usually based on the user's preferences, goals, interests and knowledge. This is particularly the case when the user is a student and the system is a computer-based learning environment. The aim of this paper is to present a mechanism for diagnosing and modelling learner's conceptions based on a theoretical model of conceptions. Our approach takes the diagnosis of learner's conceptions as the emergent result of the collective actions of agents sharing an environment, transforming it and as a consequence influencing new actions. We apply techniques from voting theory for group-decision-making. This approach is at the core of the design of a distance learning platform for the learning of geometry.
Year
Venue
Keywords
2002
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
group decision making,distance learning
Field
DocType
Volume
Computer science,Distance education,Artificial intelligence,Learning environment,Voting theory,Machine learning
Conference
77
ISSN
Citations 
PageRank 
0922-6389
6
0.85
References 
Authors
4
3
Name
Order
Citations
PageRank
Carine Webber182.09
Sylvie Pesty211116.46
Nicolas Balacheff319322.38