Automated Creation, Self-Organization, and Adaptation of Multi-Media Tactical System Training Material for Anywhere/Anytime Delivery

To reduce the effort of ensuring that multi-media training reflects tactical system operation and actual Fleet use, we propose innovative technology to help automate production of training material, based on emerging standards (Sharable Content Object Reference Model [SCORM], User Interface Markup Language [UIML]). Compared to today's rigid computer-based training, we improve learning effectiveness by dynamically self-organizing a muti-media training sequence to fit the student's knowledge, skills, abilities, past training, role, current demonstrated proficiency, and mission- or doctrine-induced changes to tasks, conditions, and standards. This adaptation incorporates proficiency demonstrated while taking the course, using feedback from online student assessment, student keystroke analysis, and optionally eye tracking. Our architecture is based on lessons learned from our work as a subcontractor on the $100M Army Training Information Architecture-Migrated (ATIA-M) project. We make training interfaces adaptable to display device characteristics - using reverse/forward engineering and transformation technology we developed to deliver U.S. Army Reimer Digital Library documents to handheld devices - and to network bandwidth to deliver courses anytime/anywhere. Our proposed technology integrates with learning content and learning management systems to leverage existing Navy investment, which will be demonstrated live with SAIC's ATIA-M enterprise facility used to host U.S. Army and Department of Homeland Security training.