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Using a virtual student model for testing intelligent tutoring systems

Mircea Gh. Negoita (School of Information Technology, Wellington Institute of Technology, Private Bag 39089, Wellington, Buick Street, Petone, New Zealand)
David Pritchard (School of Information Technology, Wellington Institute of Technology, Private Bag 39089, Wellington, Buick Street, Petone, New Zealand)

Interactive Technology and Smart Education

ISSN: 1741-5659

Publication date: 31 August 2004

Abstract

Education is increasingly using Intelligent Tutoring Systems (ITS), both for modelling instructional and teaching strategies and for enhancing educational programs. The first part of the paper introduces the basic structure of an ITS as well as common problems being experienced within the ITS community. The second part describes WITNeSS ‐ an original hybrid intelligent system using Fuzzy‐Neural‐GA techniques for optimising the presentation of learning material to a student. The original work in this paper is related to the concept of a “virtual student”. This student model, modelled using fuzzy technologies, will be useful for any ITS, providing it with an optimal learning strategy for fitting the ITS itself to the unique needs of each individual student. In the third part, experiments focus on problems developing a “virtual student” model, which simulates, in a rudimentary way, human learning behaviour. Part four finishes with concluding remarks.

Keywords

  • Intelligent Tutoring Systems
  • Hybrid intelligent systems
  • Fuzzy systems
  • Neural networks
  • Intelligent learning systems

Citation

Negoita, M.G. and Pritchard, D. (2004), "Using a virtual student model for testing intelligent tutoring systems", Interactive Technology and Smart Education, Vol. 1 No. 3, pp. 195-204. https://doi.org/10.1108/17415650480000023

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Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited

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