Fuzzy and MultiAgent Instructional Planner for an Intelligent Tutorial System

  • Authors:

  • R. Aguilar;V. Muñoz;E. J. González;M. Noda;A. Bruno;L. Moreno

  • Affiliations:

  • Dpto. Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores, Universidad de La Laguna, Spain;Dpto. Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores, Universidad de La Laguna, Spain;Dpto. Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores, Universidad de La Laguna, Spain;Dpto. Análisis Matemático, Universidad de La Laguna, Spain;Dpto. Análisis Matemático, Universidad de La Laguna, Spain;Dpto. Ingeniería de Sistemas y Automática y Arquitectura y Tecnología de Computadores, Universidad de La Laguna, Spain

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2011

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Abstract

This article presents some aspects in our research into the design of a Fuzzy and MultiAgent Instructional Planner belonging to an Intelligent Tutoring System (ITS), which has been designed as a tool for the reinforcement of the addition operation. The authors propose the combined use of both fuzzy and MultiAgent Systems. The fuzzy logic methodology is used to model the student's knowledge and the teaching strategy. Furthermore, the MultiAgent System implemented determines the learning objectives so as to provide the student with an efficient learning process. The fuzzy and MultiAgent Systems comprising the instructional planner were verified with the collaboration of experts in mathematics and in other areas of knowledge. The results obtained by the primary school children who used the ITS are also presented.