Abstract
Turbinia-Vyasa is a computer-based instructional system that trains operators to troubleshoot marine power plants. It is implemented on Apple Macintosh II computers. The simulator,Turbinia is based on a hierarchical representation of subsystems, components, and primitives together with necessary physical and logical linkages among them.Vyasa is the computer-based tutor that teaches the troubleshooting task usingTurbinia. The simulator, an interactive, direct manipulation interface, and the tutor (with its expert, student, and instructional modules) comprise the architecture for the instructional system. Details of knowledge organization that supports the functions of the three major elements of the tutoring system are discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Brown, JS., Burton, RR., and de Kleer, J.: Pedagogical, natural language and knowledge engineering techniques in Sophie I, II and III. In D. Sleeman and JS Brown (Eds.), Intelligent Tutoring Systems, Academic Press, London, 1982
Burns, H., Parlett, JW., and Redfield, CL. (Eds.): Intelligent tutoring systems: Evolution in design. Lawrence Erlbaum Associates, Hillsdale, NI, 1991.
Burton, R. R., and Brown, J. S.: An investigation of computer coaching for informal learning activities. In D. Sleeman and J. S. Brown (Eds.), Intelligent Tutoring Systems, Academic Press, London, 1982.
Clancey, W. J.: Knowledge-based tutoring: The GUIDON program, MIT Press, Cambridge, MA, 1987.
Fath, J. L., Mitchell, C. M., and Govindaraj, T.: An ICAI architecture for troubleshooting in complex, dynamic systems. IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-20 no. 3, pp. 537–558, 1990.
Frasson, C. and Gauthier, G. (Eds.): Intelligent Tutoring Systems: At the crossroad of artificial intelligence and education. Ablex Publishing Corp., Norwood, NJ, 1990
Goldstein, I. L.: Training in Organizations: Needs Assessment, Development, and Evaluation. Brooks/Cole Publishing Co., Pacific Grove, CA, 1986.
Govindaraj, T.: Intelligent computer aids for fault diagnosis training of expert operators of large complex systems. In J. Psotka, L.D. Massey and S.A. Mutter (Eds.), Intelligent Tutoring Systems: Lessons Learned, Lawrence Erlbaum Associates, Hillsdale, NJ, 1988.
Govindaraj, T., and Su, Y. -L.: A model of fault diagnosis performance of expert marine engineers. International Journal of Man-Machine Studies, vol. 29, pp. 1–20, 1988.
Johnson, W. B.: Pragmatic considerations in research, development, and implementation of intelligent tutoring systems. In Poison, M. C. and Richardson, J. J. (Eds.), Foundations of intelligent tutoring systems. Lawrence Erlbaum Associates, Hillsdale, NJ, 1988.
Kearsley, G . Overview. In Kearsley, G. (Ed.): Artificial Intelligence and Instructions: Applications and Methods. Addison-Wesley, Reading, MA, 1987.
Lesgold, A., Lajoie, SP., Bunzo, M., and Eggan, G.: SHERLOCK: A coached practice environment for an electronics troubleshooting job. In J. Larkin, R. Chabay, and C. Scheftic (Eds.), Computer assisted instruction and tutoring systems: Establishing communication and collaboration, Lawrence Erlbaum Associates, Hillsdale, NJ, 1991.
Macmillan, S. A., Emme, D., and Berkowitz, M.: Instructional Planners: Lessons Learned. In J. Psotka, L.D. Massey and S.A. Mutter (Eds.), Intelligent Tutoring Systems: Lessons Learned, Lawrence Erlbaum Associates, Hillsdale, NJ, 1988.
Munro, A., and Towne, D. M.: Chapter in this volume.
Psotka, J., Massey, LD., and Mutter, SA. (Eds.): Intelligent Tutoring Systems: Lessons Learned, Lawrence Erlbaum Associates, Hillsdale, NJ, 1988.
Rasmussen, J .: The role of hierarchical knowledge representation in decision making and system management. IEEE Transactions on System, Man, and Cybernetics, vol. SMC-15(2), pp. 234–243,1985.
Rasmussen, J.: Information processing and human machine interaction: An approach to cognitive engineering, North-Holland, New York, NY, 1986.
Sleeman, D., and Brown, JS., (Eds.): Intelligent tutoring systems, Academic Press, Orlando, FL, 1982.
Su, YL.: Modeling fault diagnosis performance on a marine power plant simulator. Doctoral dissertation, Center for Human-Machine Systems Research, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 1985.
Towne, D. M., and Munro, A.: Intelligent maintenance training system. In J. Psotka, L. D. Massey and S. A. Mutter (Eds.), Intelligent Tutoring Systems: Lessons Learned, Lawrence Erlbaum Associates, Hillsdale, NJ, 1988.
Vasandani, V .: Intelligent Tutoring for Diagnostic Problem Solving in Complex Dynamic Systems.Doctoral dissertation, Center for Human- Machine Systems Research, School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, G A, 1991.
Wenger, E.: Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge, Morgan Kaufmann Publishers, Los Altos, CA, 1987.
Woolf, B. P., and McDonald, D. D.: Building a computer tutor: Design issues. IEEE Computer, 17 (9), pp. 61–73, 1984.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vasandani, V., Govindaraj, T. (1993). Knowledge Structures for a Computer-Based Training Aid for Troubleshooting a Complex System. In: Towne, D.M., de Jong, T., Spada, H. (eds) Simulation-Based Experiential Learning. NATO ASI Series, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78539-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-78539-9_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-78541-2
Online ISBN: 978-3-642-78539-9
eBook Packages: Springer Book Archive