Adaptive Training Manager (ATM) system

Traditional Learning Management Systems (LMSs) provide many beneficial capabilities to instructors and training organizations, mostly focused on course management in computer based training (CBT) rather than content learning. Similarly, simulation-based training is increasingly implementing the use of adaptive training methods to support more efficient use of valuable trainee and simulator time, yet lags behind other types of training in the management of the resulting performance data. Because CBT and simulation based training are often considered separately, there is little consideration of how to maximize trainee learning across instructional methods. A holistic look at trainee performance data management and use is needed to capitalize on advances being made in all areas of training and to integrate best practices and technologies currently used in both CBT and simulation based training. Aptima proposes to develop the Adaptive Training Manager (ATM) system, a module that resides between an LMS and the training systems. The ATM system will integrate the state of the art in LMS technology, performance measurement methods and tools, and adaptive simulation based training methods and technologies in order to guide the selection of training environment, the selection of available course materials, and the optimal scheduling of team training exercises.