Adaptive simulations

Abstract

We propose a new kind of learning environment called an adaptive simulation that more deeply explores and exploits the potential synergy between simulations and intelligent tutoring systems. In an adaptive simulation, the simulation environment is not fixed but rather can be modified by a tutoring 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. Open research issues include how to perform these adaptations and when to employ them for optimal effect.