Methods Inf Med 1994; 33(04): 433-445
DOI: 10.1055/s-0038-1635038
Original Article
Schattauer GmbH

An Intelligent Computer-Assisted Instruction System for Clinical Case Teaching

D. Fontaine
1   URA CNRS 817 Heudiasyc, Dept Genie Informatique, Université de Technologie de Compiègne, France
,
P. Le Beux
2   Laboratoire d’Informatique Médicale, Universite Rennes I, CHU Pontchaillou, Rennes, France
,
C. Riou
2   Laboratoire d’Informatique Médicale, Universite Rennes I, CHU Pontchaillou, Rennes, France
,
C. Jacquelinet
2   Laboratoire d’Informatique Médicale, Universite Rennes I, CHU Pontchaillou, Rennes, France
› Author Affiliations
Further Information

Publication History

Publication Date:
08 February 2018 (online)

Abstract:

The use of computers in the field of medical education is common. Our purpose is to present a Computer-Assisted Instruction system which has been developed over ten years at the University of Compiegne and the University of Rennes Medical School. This system can be used to help the student to solve clinical cases by analyzing and critiquing their answers and by using a knowledge base which has been previously structured in a rule network. It is an intelligent Computer-Assisted Instruction system comprising an author module, a pedagogical module and a student module. The CAI system can be used as a simulation model for any type of diagnostic or therapeutic problem. In this paper we present the author and pedagogical module which have been built using our previous work on intelligent computer-assisted instruction systems.

 
  • REFERENCES

  • 1 Clancey WJ. Tutoring rules for guiding a case method dialogue. Internat J Man Mach Stud 1979; 11: 25-49.
  • 2 Clancey WJ. The student modelling. In: Clancey WJ. ed. Knowledge-based Tutoring: The Guidon Program . Cambridge MA: MIT Press; 1987: 111-39.
  • 3 Clancey WJ. Extension of the framework program. In: Clancey WJ. ed. Knowledge-based Tutoring: The Guidon Program . Cambridge MA: MIT Press; 1987: 167-93.
  • 4 Clancey WJ. Transfer of Rule-based Expertise through Dialogue (PhD thesis).. Stanford: Computer Science Department, Stanford University; 1979
  • 5 Clancey WJ. Tutoring rules for guiding a case method dialogue. In: Sleeman D, Brown JS. eds. Intelligent Tutoring Systems . New York: Academic Press; 1982: 201-25.
  • 6 Clancey WJ, Bennett JS, Cohen PR. Application-oriented research. In: Barr A, Feigenbaum EA. eds. Handbook of Artificial Intelligence . Reading MA: Addison-Wesley; 1982: 225-83.
  • 7 Clancey WJ, Letsinger R. NEOMYCIN reconfiguring or rule-based expert system for application in teaching. In: Clancey WJ, Shortliffe EH. eds. Readings in Medical Artificial Intelligence. The First Decade. New York: Addison-Wesley; 1984: 361-81.
  • 8 Fieschi M, Joubert M, Fieschi D, Borri G, Michel C, Proudha M. The Sphinx project. In: Debotto I, Stefanelli W. eds. Artificial Intelligence in Medicine . Amsterdam: Elsevier; 1985: 107-19.
  • 9 Fontaine D, Le Beux P. An expert system for rubella consultations. In: Van Bemmel JH, Ball MJ, Wigertz O. eds. MEDINFO 83 . Amsterdam: North-Holland Publ Comp; 1983: 529-32.
  • 10 Fontaine D, Le Beux P. Un sysleme d’acquisilion des connaissances pour systemes experts. Revue Techniques et Sciences d’Informatique 1986; 05: 7-20.
  • 11 Fontaine D, Le Beux P. An expert system for computer-assisted instructor simulation. In: Salamon R, Blum B, Joergensen M. eds. MEDINFO 86 . Amsterdam: North-Holland Publ Comp; 1986: 878-82.
  • 12 Aegerter P. CONSULT-EAO: Etude et Realisation d’un Systeme Expert d’Aide a VEnseignement de la Medecine: Application aux Pays de Developpement . (These de Doctorat). Universite de Compiegne; 1988
  • 13 Aegerter P, Auvert B, Gilbos V. et al. An intelligent computer-assisted instruction system designed for rural health workers in developing countries. Meth Inform Med 1992; 31: 193-203.
  • 14 Warner HR, Haug P, Bouhaddou O. et al. ILIAD: an expert consultant to teach differential diagnosis. In: Proceedings SCAMC 88 . New York: IEEE Comp Soc Press; 1988: 371-2.
  • 15 Cundik R, Lincoln MJ, Buchanan J, Anderson C, Warner Jr HR, Bouhaddou O. In: Proceedings SCAMC 89 . New York: IEEE Comp Soc Press; 1989: 170-3.
  • 16 Bouhaddou O, Warner HR, Yu H, Lincoln MJ. The knowledge capabilities of the vocabulary component of a medical expert system. In: Proceedings SCAMC 90 . New York: IEEE Comp Soc Press; 1990: 655-6.
  • 17 Boyer JF, Le Beux P, Varet B. Diagnosis training through case studies with a two-level expert system. In: Proceedings Medical Informatics Europe 1984; 127-31.
  • 18 Carbonell JR. A.I. In CAI: an artificial intelligence approach to computer-assisted instruction. IEEE Trans Man Mach Stud 1979; 11: 190-202.
  • 19 Clancey WJ. Methodology for building an intelligent tutoring system. In: Kearsly G. ed. Artificial Intelligence and Instruction: Applications and Methods . Reading MA: Addison-Wesley; 1984: 191-227.
  • 20 Self J. A perspective on intelligent computer-assisted learning. J Comput Assist Learning 1985; 01: 159-66.
  • 21 Self J. Student models: what use are they?. In: Ercoli P, Lewis R. eds. Artificial Intelligence Tools in Education . Amsterdam: North-Holland Publ Comp; 1988: 73-86.
  • 22 Fontaine D, Le Beux P, Strauss A, Morizet P. An approach for maintaining the coherence in a medical knowledge base. In: Barber B, Cao D, Quin G, Wagner G. MEDINFO 89 . Amsterdam: North-Holland Publ Comp; 1989: 44-8.
  • 23 Sowa JF. Conceptual Structures of Information Processing in Mind and Machine . Reading MA: Addison-Wesley; 1984
  • 24 Le Beux P, Riou C, Frangeul C, Cador F, Lenoir P. ADM: a diagnostic aid knowledge base for general practitioners. In: Duisterhout JS, Hasman A, Salamon R. eds. Telematics in Medicine . Amsterdam: North-Holland Publ Comp; 1990: 141-51.