A generic framework of intelligent adaptive learning systems: from learning effectiveness to training transfer
Ming Hou, Cali Fidopiastis · Theoretical Issues in Ergonomics Science · 2016
This paper provides guidance for adaptive learning systems designers by reviewing the evolution of learning theories and their associated progress, which is enabled by computers, artificial intelligence and augmented cognition. A generic conceptual framework of intelligent adaptive learning systems is discussed in detail for individualised learning. The utility of such design methodologies is illustrated through an example of a customised intelligent tutoring system for improvised explosive device disposal operator training. This testbed approach is the first phase of truly determining the utility and effectiveness of intelligent adaptive learning systems for multiple fields of use in the ever complicated spectrum of society's education and training needs.