Integrating Knowledge Acquisition and Measurement Strategies in Adaptive Distributed Training Systems
Abstract
In the context of learning complex tasks, distributed training may prove more cost-effective because of the dynamic task environments in which Air Force personnel must train and work. Specifically, distributed training designed to facilitate the acquisition of knowledge that is both rich and flexible affords one the ability to accommodate new and complex technology relatively easily. The aforementioned findings provide the foundation on which the Air Force training community may determine how distributed systems can be best designed to account for diversity in trainee aptitude and disposition. Overall, the outcomes of this effort support the AFOSR Mission of providing the best training tools to ensure that the warfighter develops the skills to win. By utilizing an approach that encompasses the organizational and cognitive sciences, the authors have provided foundational research to the methods for the development and evaluation of warfighter training at the individual and team levels. These include the tools and technologies based upon data-driven empirical efforts and their theoretically driven organizing frameworks. More generally, this research is a foundation to Air Force attempts to identify the type(s) of knowledge and learning strategies most useful for, and most generalizable across, complex tasks, and how distributed learning systems may facilitate the development of such knowledge for individuals and teams. The objectives for the 3-year effort were as follows: (1) the feasibility and utility of cognitively diagnostic assessment in distributed training, (2) the identification of the learning outcomes associated with distributed training and the individual differences that may impact these outcomes, and (3) the types of system augmentation techniques that best mediate training success when presented with differing task and individual characteristics and delivered on distributed training systems. A list of related publications is included.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 2004
- Accession Number
- ADA430413
Entities
People
- Clint A. Bowers
- Eduardo Salas
- Stephen M. Fiore
Organizations
- University of Central Florida