The future of augmented cognition systems in education and training

Abstract

As adaptive interfaces increase in sophistication and application, augmented cognition systems are becoming accessible to a wider variety of users in real-world settings. The potential for using closed-loop augmented cognition systems in education and training is immense, and will be instrumental in meeting growing demands for distance learning and remote training. Augmented cognition technologies can be applied in numerous ways to dynamically tailor instruction to the user's cognitive style and skill level. Examples of such applications are discussed, along with their implications for enhanced educational and training programs of the future. © Springer-Verlag Berlin Heidelberg 2007.