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Teaching and Learning with Intelligent Agents: Actors

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1452)

Abstract

Various research projects suggest to use intelligent agents inside Intelligent Tutoring Systems (ITS). We have designed a new kind of agent (actor) to model the pedagogical expertise of ITS. Actors aim to help a student to learn using powerful cooperative pedagogical strategies. Such systems involve complex expertise that evolves continuously. To improve the knowledge acquisition process and to foster revision of expertise, we give the actors some learning abilities. The paper first describes how to use pedagogical actors to implement ITS. This involves three main points: the actor paradigm, the communication protocol with the domain-related material, and the representation of this material. The second part of the paper focuses on the learning abilities of actors. We discuss different learning approaches and illustrate one of them with an example involving two simple actors.

Keywords

Pedagogical Actor Multiple Choice Question Intelligent Agent Human Expert Intelligent Tutor System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  1. 1.Département d’informatique et de recherche opérationnelleUniversité de MontréalMontréalCanada

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