Volume 11 : Number 1 : Paper 2

June 2008 Special Issue of Best Papers presented at 2007 CRIWG Workshop Doctoral Colloquium with one paper selected from CLEI 2006, Santiago, Chile
An Ontology-based Framework and its Application to Effective Collaboration

Authors and Affiliations:
Seiji Isotani, The Institute of Scientific and Industrial Research, Osaka University
Riichiro Mizoguchi, The Institute of Scientific and Industrial Research, Osaka University

In the past few years Artificial Intelligence has been gradually introduced to enhance Education through technologies. However, usual approaches provide systems with a kind of expertise using a set of heuristics and domain theories built in the procedures. As a result they cannot justify their recommendations systematically and scientifically. To overcome such problems it is necessary to establish a common understanding of what a learning theory is and how to represent it adequately. In this work we present part of our ontological framework that allows for the partial representation of learning theories considering explicitness, formalism, concepts and vocabulary. Then, we propose sophisticated techniques to reasoning on these theories considering their semantics showing the use of this framework to build a system called CHOCOLATO to facilitate the effective design and analysis of collaborative learning activities.

Received May/2007, Revised May/2008 , Editor: (Guest): Alejandro Fernandez and Pedro Antunes
Full paper, 9 pages [ PDF, 529 Kb ]