Performance Augmentation Through Ubiquitous and Adaptive Learning and Work Environments

Abstract

Recent and upcoming devices such as tablets and wearables in combination with technologies such as the Internet of Things are resulting in learning environments becoming of an increasingly ubiquitous nature. Learning environments are now more strongly embedded in real-world learning and work activities, causing the boundaries between virtual learning environments and their real-world contexts of use, and between learning and work activities themselves, to be increasingly blurred. A reconceptualization of learning environments as performance augmentation means that the function of enhancement or augmentation is made explicit. Theoretical, modeling, and implementation aspects of performance augmentation through ubiquitous and adaptive learning and work environments are explored.