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The Present and Future of Intelligent Tutoring Systems

  • Ernesto Costa
Conference paper
Part of the NATO ASI Series book series (volume 96)

Abstract

The goals of this chapter are twofold. First, we will show how the use of machine learning techniques can greatly improve the dynamic construction and updating of student models. Then, we will discuss the underlying principles of the traditional design paradigm for Intelligent Tutoring Systems (ITSs) and will argue that they are, partially, responsible for the difficulties felt by present day ITSs. We maintain the thesis that the teaching (and learning) situation is a particular instance of the general case of interaction among intelligent agents. As a consequence of this point of view, we sustain that new principles for building ITSs are needed, based on the idea of belief systems.

Keywords

ACM Artificial Intelligence belief systems diagnosing discrimination trees expert system explanation-based learning intelligent tutoring systems knowledge communicating system knowledge representation machine learning methodology student model student module subtraction tutorial strategies 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Ernesto Costa
    • 1
  1. 1.Dept. Engenhavia ElectrotechnicaUniversidade CoimbraPortugal

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