Charting past, present, and future research in ubiquitous computing
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Smart Mobs: The Next Social Revolution
Smart Mobs: The Next Social Revolution
Me++: The Cyborg Self and the Networked City
Me++: The Cyborg Self and the Networked City
Everyware: The Dawning Age of Ubiquitous Computing
Everyware: The Dawning Age of Ubiquitous Computing
Augmented Learning: Research and Design of Mobile Educational Games
Augmented Learning: Research and Design of Mobile Educational Games
Using neurophysiological data to inform feedback timing: a pilot study
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
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In this paper, we define adaptive instruction, or Ad-In, as applied to sophisticated skills development systems that target learning and assessment in a highly individualized and interactive manner. We argue that the successful design and use of such systems rely heavily upon the interrelationships among learning styles, instructional theories, and assessment methods, in the context of personalized learning. We outline and structure the links among these topics by drawing upon recent empirical studies of virtual environments and augmented realities. The paper also presents a candidate architecture for applying Ad-In concepts in an intelligent interactive environment for skills development.