Some principles of intelligent tutoring
Artificial intelligence and education; vol. 1: learning environments and tutoring systems
Logic for Problem Solving
A Highly Flexible Student Driven Architecture for Computer Based Instruction
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Use of abstraction and complexity levels in intelligent educational systems design
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Learning Automata Based Intelligent Tutorial-like System
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
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This paper presents an original modelling of the tutoring knowledge in an intelligent educational system based on a collection of interacting agents, in particular in a problem-solving domain. After a brief description of the knowledge modelling and a generic functioning framework for ITSs in problem-solving domains, we introduce the tutoring knowledge modelled as pedagogical agents. We show how these agents interact with one another and with the student, and discuss tools which may help optimise decisions about how an agent takes control or fulfils a given pedagogical function. To illustrate our point of view, we then present and comment on a tutoring dialogue in detail, using as background a problem-solving exercise. Such a interactive-agent-oriented model should both facilitate the implementation of the tutoring knowledge in an intelligent educational system and help improve the student's comprehension through better pedagogical interactions.