ISSN:
1065-0741
Source:
Emerald Fulltext Archive Database 1994-2005
Topics:
Computer Science
Notes:
Purpose - One of the greatest challenges facing any intelligent tutoring system is being able to adapt its behaviour based on the student's current knowledge level, ability, needs and wishes within a course. This paper aims to present a framework of BDI agents within an agent-based intelligent tutoring system (ABITS). Design/methodology/approach - A conceptual discussion approach is taken. Findings - The agents provide the core reasoning ability. In particular, the paper demonstrates how the system sources and refines a particular set of commonly available data. Also shows how these data are incorporated into the agents' belief set so that they may adapt their behaviour to support individual students. Originality/value - Provides a framework that can improve learning procedures for future users of ABITS.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1108/10650740510606126