Abstract
The complexity of student models and expert models is often an obstacle in Intelligent Tutoring Systems research, particularly in the field of simulation-based training where the learner's actions are less contained and can therefore lead to unpredictable paths. In this paper we propose a framework for student modelling and expert modelling in the context of the design of a simulation-based learning system for training of operational skills which is incremental and cost effective as it allows the evaluation of student performance as well as the evaluation of his knowledge in certain aspects of the air traffic control activity. This framework is currently used in the design of an intelligent simulation-based training system for air traffic controllers.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
L. Alem (1995), ITS design methodology based on a model of the activity, Proceedings of Computer in Education, Singapore.
L. Alem & R. Keeling (1996), Intelligent simulation environments: an application to air traffic control, Proceedings of SimTect'96, Melbourne, Australia.
L. Alem & M. Lee, 1994, “An intelligent tutoring system for sonar application in Australia”, Proceedings of The second World Congress on Expert Systems, Portugal.
J.R. Anderson (1988), The Expert Module, in Foundations of Intelligent Tutoring Systems, M. Polson & J. Richardson, Lawrence Erlbaum Associate Publishers, Hilldale, New Jersey.
A. Bisseret (1979), Utilisation de la theorie de la detection du signal pour l'etude de decisions operatives: effet de l'experience des operateurs, Rapport INRIA Rocquencourt CO 7911R60, France.
J.S. Brown, R.R. Burton & A.G. Bell (1975), SOPHIE: a step towards a reactive learning environment. International Journal Man-Machine Studies, 1975, vol 7, pp 675–696.
M.L Burger & J.F DeSoi (1992), The cognitive apprenticeship analogue: A strategy for using ITS technology for the delivery of instruction and as a research tool for the study of teaching and learning, International Journal of Man-machine Studies, 36, 775–795.
J.R. Carbonell (1970), Mixed-Initiative Man-Computer Instructional Dialogues, Doctoral dissertation, Massachusetts Institutes of Technology, Cambridge, Massachusetts.
R.W Chu, C.M, Mitchell & P.M Jones (1995), Using the Operator Function Model and OFMspert as the basis for an intelligent tutoring system: towards a tutor/aid paradigm for operators of supervisory control systems, IEEE transactions on systems, man and cybernetics, July 1995 vol 27, No 7.
M. Cialdea (1991), Meta-reasoning and student modelling, New directions for Intelligent Tutoring systems, E. Costa eds, Berlin: Springer-Verlag, pp 183–197.
M. Cox (1992), The cognitive aspects of the air traffic control task: a literature review, IAM report 718, RAF Institute of A viation Medicine, Farnborough, UK.
P. Eliot & B.P. Woolf (1994), Reasoning about the user within a simulation-based real-time training system, Proceedings of User Modeling.
T. de Jong (1991), Learning and Instruction with computer simulations, Education & Computing 6, pp 217–229.
P. Duchastel (1991). Instructional strategies for simulation-based training, Journal of Educational Technology Systems, 19, 265–276.
Eurocontrol Experimental Centre, B.P. 15, 91222 Bretigny sur Orge cedex, France.
L. Gugerty & K. Hicks (1993), Non-diagnostic intelligent tutoring systems, Proceedings of the 15th interservice/industry training systems and education conference, Orlando, Florida, pp 450–459.
J.D. Hollan, E.L. Hutchins & L. Weitzman (1984), STEAMER: an interactive inspectable simulation-based training system, The AI Magazine, Summer 1984, pp 15–27.
V.D. Hopkin (1980), The measurement of the air traffic controller, Human factors, 22(5), 547–560.
S. Katz, A. Lesgold, G. Eggan & M. Gordin (1992), Modelling the student in SHERLOCK II, Proceedings of AI and Education, vol 3, N. 4.
M. Leroux (1992), How to define a philosophy of automation in ATC, April 1992, CENA document AG-SO-008-T20D R 01.0, France.
B. Lucat (1998), A new approach to ACT simulation, ICAO Bulletin, May 1988, pp 30–32.
D. Newman, M. Grignetti, M. Gross & L.D. Massey (1989), Intelligent conduct of fire trainer: Intelligent technology applied to simulator-based training. Machine-Mediated Learning, 3, 29–39.
S. Ohlsson (1986), Some principles of intelligent tutoring, Instructional science 14 293–326, Amsterdam, Elsevier Science Publishers B.V.
A. Paiva & J. Self (1995), TAGUS-A user and learner modeling workbench, User modeling and User-adapted interaction, 4:197–226, Kluwer Academic Publishers.
M.C Polson & J. Richardson (1988), Foundations of Intelligent Tutoring systems, Hillsdale, New Jersey, Lawrence Erlbaum Associates Publishers.
P. Reiman (1993), Supporting exploratory learning by providing remindings automatically, Proceedings of AI-ED 93 workshop: Simulations for Learning: Design, Development and Use.
S. Sebillotte & B. Alonso (1994), Description MAD de la tache de “controle aerien” executee par deux controleurs, Document Interne INRIA Rocquencourt, Le Chesnay, France.
J.A. Self (1989), The case of formalising student models (and intelligent tutoring generally). Proceedings of AI and Education, Amsterdam.
J. Self (1995), The ebb and flow of student modeling, Invited talk at Computer and Education Dec. 1995, Singapore.
E. Wenger (1987), Artificial Intelligence and Tutoring systems, Morgan Kaufmann publishers, Los Altos, CA.
D.D. Woods (1988), Coping with complexity: the psychlogy of human behavior in complex systems, Tasks, errors and mental models, Goodstein, Andersen and Olsen eds. London: Taylor & Francis, pp 128–148.
D. Zhang & L. Alem (1996), Case-based exercise design for ATC training, Proceedings of ITS'96 conference, Montreal, Canada.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1996 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yacef, K., Alem, L. (1996). Student and expert modelling for simulation-based training: A cost effective framework. In: Frasson, C., Gauthier, G., Lesgold, A. (eds) Intelligent Tutoring Systems. ITS 1996. Lecture Notes in Computer Science, vol 1086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61327-7_161
Download citation
DOI: https://doi.org/10.1007/3-540-61327-7_161
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-61327-5
Online ISBN: 978-3-540-68460-2
eBook Packages: Springer Book Archive