A model of tutoring: Based on the behavior of effective human tutors

Ramzan Khuwaja, Vimla Patel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Research has shown that tutoring by humans provide the most effective method of instruction. One school of thought in the Intelligent Tutoring Systems (ITS) community believes that studying human tutors is the best way to discover how to build effective machine tutors. This paper describes a conceptual model of tutoring that is based on a study of skilled human tutors in the domain of cardiovascular physiology, This model is developed as a part of research to develop an ITS, CIRCSIM-.Tutor, for first year medical students at Rush Medical College, Chicago. The major theme of this model of tutoring is that, in a problem-solving environment, it facilitates the student to integrate his/her knowledge into a coherent qualitative causal model of the domain and solve problems in the domain. The key feature of this model is that it uses multiple models of the domain in the process of facilitating knowledge integration.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 3rd International Conference, ITS 1996, Proceedings
EditorsClaude Frasson, Claude Frasson, Gilles Gauthier, Gilles Gauthier, Alan Lesgold, Alan Lesgold
PublisherSpringer Verlag
Pages130-138
Number of pages9
ISBN (Print)9783540613275, 9783540613275
DOIs
StatePublished - 1996
Event3rd International Conference on Intelligent Tutoring Systems, ITS 1996 - Montreal, Canada
Duration: Jun 12 1996Jun 14 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1086
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Intelligent Tutoring Systems, ITS 1996
Country/TerritoryCanada
CityMontreal
Period6/12/966/14/96

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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