Abstract
The effectiveness and generality of a training system can be increased by incorporating rich models of the devices and processes that it is intended to teach. The models provide the structure for several kinds of instruction: textual and graphical explanations, demonstrations, exploring or browsing, and responding helpfully to user actions. The models integrate all parts of the training system: knowledge representation, behavior simulation, and graphical presentation. The models are enriched further when important functional abstractions, in addition to the concrete concepts describing a device or process, are explicitly included. These abstractions introduce general concepts that are transferable to other situations and other domains.
Instruction designed around models can package the training system’s capabilities into several different activities to provide a variety of learning experiences. Instructional activities must motivate, inform, and guide the user toward greater competence, greater confidence, and better performance on the job. Keeping the system’s capabilities distinct from how they are combined into instructional activities ensures a modular and adaptable training system.
These principles are illustrated by examples drawn from an intelligent tutoring system currently under development.
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© 1993 Springer Science+Business Media New York
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Roberts, B. (1993). Modeling Expertise in Training Systems. In: Seidel, R.J., Chatelier, P.R. (eds) Advanced Technologies Applied to Training Design. Defense Research Series, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3014-5_19
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DOI: https://doi.org/10.1007/978-1-4615-3014-5_19
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