ABITS: learning more about students through intelligent educational software
Frances Mowlds, Bernard Joseph Roche, Eleni Mangina · Campus-Wide Information Systems · 2005
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.