Constructing Intelligent Tutoring Systems Based on a Multiagent Architecture

Constructing Intelligent Tutoring Systems Based on a Multiagent Architecture

Ig Bittencourt (Federal University of Campina Grande (UFCG), Brazil), Evandro de Barros Costa (Federal University of Alagoas, Brazil), Baldoíno Fonseca dos Santos Neto (Federal University of Alagoas (UFAL), Brazil), João Guilherme Maia de Menezes (Federal University of Alagoas (UFAL), Brazil), Jairo Simão Santana Melo (Catholic University of Brasilia, Campus II, Brazil), Edilson Ferneda (Catholic University of Brasilia, Campus II, Brazil), Ana Paula Bernardi da Silva (Catholic University of Brasilia, Campus II, Brazil) and Lourdes Mattos Brasil (Catholic University of Brasilia, Campus II, Brazil)
Copyright: © 2008 |Pages: 32
DOI: 10.4018/978-1-59904-768-3.ch011
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Abstract

Tools to make the development of intelligent tutoring systems (ITS) easier and more efficient are a relevant topic within the artificial intelligence in education community. This chapter presents a set of tools for constructing multiagent-based ITS, and describes a methodology for guiding the development of ITS. The main goal is to make multiagent-based ITS development more efficient and useful for both developers and authors. This has been done to support development of tutors based on Mathema’s environment as a reference model. Basically, in order to create a particular ITS, authors have to consider three main steps concerned with domain, student, and pedagogical models. A case study is presented to demonstrate the effectiveness of the proposed approach. Results of this case study show that this proposal makes the process of building the considered ITS easier and more efficient.

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