PASTEL: pattern-driven adaptive simulations

  • Authors:
  • Mark K. Singley;Peter Fairweather;Tracee Wolf;Dick Lam

  • Affiliations:
  • IBM T.J. Watson Research Center, Hawthorne, New York;IBM T.J. Watson Research Center, Hawthorne, New York;IBM T.J. Watson Research Center, Hawthorne, New York;IBM T.J. Watson Research Center, Hawthorne, New York

  • Venue:
  • INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
  • Year:
  • 2007

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Abstract

We propose a new kind of learning environment called an adaptive simulation that more deeply explores and exploits the potential of simulations as pedagogical and explanatory tools. In an adaptive simulation, the simulation configuration is not fixed but rather can be modified by an instructional agent for optimal pedagogical effect. Types of adaptations include manipulations of simulation time and state, changes in representation to facilitate explanations and/or task performance, and adjustments in simulation complexity by the addition and/or removal of components. We briefly describe a system we are developing called PASTEL that is designed to enable these kinds of adaptations. Open research issues include precisely how to perform these adaptations and when to employ them for optimal effect.