Modeling Beliefs and Solution Strategies in a Distributed Learning System

Authors:
Rose Joshua;David H. Scuse
Affiliations:
Department of Computer Science, University of Calgary, Calgary, Canada T2N 1N4;Department of Computer Science, University of Manitoba, Winnipeg, Canada R3T 2N2
Venue:
The Journal of Supercomputing
Year:
2005

Citing 5
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Abstract

We present algorithms guiding the identification of student solution strategies in the Domain-Independent Adaptive Tutoring System (DIATS). The DIATS is a distributed computer-assisted instruction system with a prototype in the domain of psychiatric mental disorders. Problems are solved using differential diagnosis decision trees from the DMS-IV-TR. Student solution strategy identification is performed by the Response Analysis Unit of the modeler. The Domain-Independent Adaptive Tutoring System (DIATS) has a distributed architecture that combines shared-data and client-server styles.