Model-based simulation systems for adaptive training in time-critical decision making

Abstract

The fundamental goal of education and training is to provide capabilities that can help humans improve performance and accelerate decision-making. Advances in mobile computing (e.g., sensor technology, context aware computing, and cloud computing) allow for the design of systems that goes beyond the traditional methods of simulation training to support adaptive learning. The focus of this paper will be to present a human performance model, using mobile devices, for analysis of time-critical decision making through sensor-based information.