Information Systems Department,
London School of Economics,
Houghton Street,
London,
WC2A 2AE,
E-mail: J.Siemer@LSE.ac.uk
Fax: 0171-955 7385
Abstract
Intelligent Tutoring Systems are designed to provide individualised learning. They monitor the student's behaviour, anticipate future actions based on inferences about the student's behaviour and guide the student accordingly. Remedial tutoring is increasingly viewed as a central part of the overall tutoring process, and recent research calls for adaptive remedial tutoring for any errors the student might make during a teaching episode.
This paper discusses the issues that constitute efficient remedial tutoring and proposes the requirements that have to be imposed on an Intelligent Tutoring System architecture to account for these issues. In order to demonstrate how these requirements may be put into practice, the paper then presents INTUITION (INtelligent TUITION), an Intelligent Tutoring System for business management gaming-simulation which provides individualised and efficient remedial tutoring.